IMPALA-5376: Implement all TPCDS test cases or alternates for Impala.

Main source for TPCDS query and result definitions: https://github.com/gregrahn/tpcds-kit.
TPC-DS v2.5.0 qualification queries from G. Rahn, Cloudera, Inc.
Data set constructed in mini-cluster using $IMPALA_HOME/buildall.sh -testdata....
This commit continues previous work on IMPALA-5376 in the ASF Impala repo
and the Cloudera Gerrit service.

This commit splits multi-query tests in the TPC-DS suite definition into one
query and result set per test file, as the test framework requires.  Names for
such files have -1, -2... inner suffixes.

The portion of the TPC-DS test suite in this commit passes.
It contains no failures, as reflected by runs of
$IMPALA_HOME/tests/run-tests.py query_test/test_tpcds_queries.py ...

IMPALA-6007 addresses the TPC-DS cases that require skipping (because we don't
support them or they flap) or expected-failure (xfail, because we support them
but they fail due to bugs.)  These require some added tooling for non-Pytest
frameworks like the stress test to avoid attempting them until they work.
Tests that flap are marked to skip, with a bug ID, since they don't reliably pass or xfail.

Expected result sets come from the TPC-DS kit.  Some TPC-DS test cases
in this commit have been modified in sematically-neutral ways so as to pass
on Impala.

The tests/query_test/test_tpcds_queries.py driver file is authoritative for the
active/skip/xfail status for each case and a brief reason.  The following list
describes the current status as:
--- test-name
deviance from TPC-DS spec
changes made

--- tpcds-q22a.test
RESULT MISMATCH in LSD of AVG() values
FIXED, HAND_ROUNDED AVG() VALUES IN RESULT SET
--- tpcds-q26.test
RESULT MISMATCH in LSD of AVG() values
ABSENT, IMPALA-6087
--- tpcds-q28.test
RESULT MISMATCH in LSD of AVG() values
ABSENT, IMPALA-6087
--- tpcds-q30.test
UNRECOGNIZED CHARACTER
ABSENT, IMPALA-5961.
--- tpcds-q31.test
RESULT MISMATCH in LSD of DECIMAL values
ABSENT, IMPALA-5956.
--- tpcds-q35a.test
RESULT MISMATCH
ABSENT, IMPALA-5950.
--- tpcds-q36a.test
RESULT MISMATCH
ABSENT, IMPALA-4741
--- tpcds-q47.test
RESULT MISMATCH in LSD of DECIMAL values
ABSENT, IMPALA-6087
--- tpcds-q48.test
RESULT MISMATCH in scalar value
ABSENT, IMPALA-5950.
--- tpcds-q49.test
RESULT MISMATCH in LSD of DECIMAL values
ABSENT, IMPALA-5945
--- tpcds-q57.test
RESULT MISMATCH, excess scale in DECIMAL values
ABSENT, IMPALA-6087
--- tpcds-q58.test
RESULT MISMATCH in DECIMAL values
ABSENT, IMPALA-5946
--- tpcds-q59.test
RESULT MISMATCH, excess scale in DECIMAL values
ABSENT, IMPALA-6087
--- tpcds-q61.test
RESULT MISMATCH in DECIMAL value
FIXED. CAST RESULT QUOTIENT TO DECIMAL(15, 4), TAKE ACTUAL RESULT AS EXPECTED
--- tpcds-q63.test
RESULT MISMATCH, excess scale in DECIMAL values
ABSENT, IMPALA-6087
--- tpcds-q64.test
RESULT MISMATCH
ADDED ORDER BY COLUMNS.
--- tpcds-q66.test
RESULT MISMATCH
ABSENT, IMPALA-4741
--- tpcds-q77a.test
RESULT MISMATCH
FIXED. TAKE ACTUAL RESULT AS EXPECTED
--- tpcds-q78.test
RESULT MISMATCH
FIXED. TAKE ACTUAL RESULT AS EXPECTED
--- tpcds-q83.test
RESULT MISMATCH
ABSENT, IMPALA-5945.
--- tpcds-q85.test
MISSING TABLE "reason"
ABSENT, IMPALA-5960
--- tpcds-q86a.test
RESULT MISMATCH
FIXED. TAKE ACTUAL RESULT AS EXPECTED
--- tpcds-q89.test
RESULT MISMATCH, DECIMAL values flap
ABSENT, ADDED ROUND(2) TO 8th COLUMN, TAKE ACTUAL RESULTS AS EXPECTED, IMPALA-5956.
--- tpcds-q90.test
RESULT MISMATCH
ABSENT, IMPALA-5945.
--- tpcds-q93.test
MISSING TABLE "reason"
ABSENT, IMPALA-5960
--- tpcds-q98.test
RESULT MISMATCH
FIXED, ADDED ROUND() TO LAST COLUMN

Change-Id: I6e284888600a7a69d1f23fcb7dac21cbb13b7d66
Reviewed-on: http://gerrit.cloudera.org:8080/8102
Reviewed-by: Michael Brown <mikeb@cloudera.com>
Tested-by: Impala Public Jenkins
This commit is contained in:
Tim Wood
2017-08-30 16:13:43 -07:00
committed by Impala Public Jenkins
parent b4c24ad2ad
commit f05bd241ea
62 changed files with 7779 additions and 2403 deletions

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====
---- QUERY: TPCDS-Q10A
select
cd_gender,
cd_marital_status,
cd_education_status,
count(*) cnt1,
cd_purchase_estimate,
count(*) cnt2,
cd_credit_rating,
count(*) cnt3,
cd_dep_count,
count(*) cnt4,
cd_dep_employed_count,
count(*) cnt5,
cd_dep_college_count,
count(*) cnt6
from
customer c,customer_address ca,customer_demographics
where
c.c_current_addr_sk = ca.ca_address_sk and
ca_county in ('Rush County','Toole County','Jefferson County','Dona Ana County','La Porte County') and
cd_demo_sk = c.c_current_cdemo_sk and
exists (select *
from store_sales,date_dim
where c.c_customer_sk = ss_customer_sk and
ss_sold_date_sk = d_date_sk and
d_year = 2002 and
d_moy between 1 and 1+3) and
exists (select *
from (
select ws_bill_customer_sk as customer_sk, d_year,d_moy
from web_sales, date_dim
where ws_sold_date_sk = d_date_sk and
d_year = 2002 and
d_moy between 1 and 1+3
union all
select cs_ship_customer_sk as customer_sk, d_year, d_moy
from catalog_sales, date_dim
where cs_sold_date_sk = d_date_sk and
d_year = 2002 and
d_moy between 1 and 1+3
) x
where c.c_customer_sk = customer_sk)
group by cd_gender,
cd_marital_status,
cd_education_status,
cd_purchase_estimate,
cd_credit_rating,
cd_dep_count,
cd_dep_employed_count,
cd_dep_college_count
order by cd_gender,
cd_marital_status,
cd_education_status,
cd_purchase_estimate,
cd_credit_rating,
cd_dep_count,
cd_dep_employed_count,
cd_dep_college_count
limit 100;
---- RESULTS
'F','D','Advanced Degree',1,3000,1,'High Risk',1,2,1,4,1,5,1
'F','D','Unknown',1,1500,1,'Good',1,6,1,5,1,4,1
'M','D','College',1,8500,1,'Low Risk',1,3,1,0,1,1,1
'M','D','Primary',1,7000,1,'Unknown',1,2,1,1,1,1,1
'M','W','Unknown',1,4500,1,'Good',1,5,1,0,1,1,1
---- TYPES
STRING, STRING, STRING, BIGINT, INT, BIGINT, STRING, BIGINT, INT, BIGINT, INT, BIGINT, INT, BIGINT
====

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====
---- QUERY: TPCDS-Q11
with year_total as (
select c_customer_id customer_id
,c_first_name customer_first_name
,c_last_name customer_last_name
,c_preferred_cust_flag customer_preferred_cust_flag
,c_birth_country customer_birth_country
,c_login customer_login
,c_email_address customer_email_address
,d_year dyear
,sum(ss_ext_list_price-ss_ext_discount_amt) year_total
,'s' sale_type
from customer
,store_sales
,date_dim
where c_customer_sk = ss_customer_sk
and ss_sold_date_sk = d_date_sk
group by c_customer_id
,c_first_name
,c_last_name
,c_preferred_cust_flag
,c_birth_country
,c_login
,c_email_address
,d_year
union all
select c_customer_id customer_id
,c_first_name customer_first_name
,c_last_name customer_last_name
,c_preferred_cust_flag customer_preferred_cust_flag
,c_birth_country customer_birth_country
,c_login customer_login
,c_email_address customer_email_address
,d_year dyear
,sum(ws_ext_list_price-ws_ext_discount_amt) year_total
,'w' sale_type
from customer
,web_sales
,date_dim
where c_customer_sk = ws_bill_customer_sk
and ws_sold_date_sk = d_date_sk
group by c_customer_id
,c_first_name
,c_last_name
,c_preferred_cust_flag
,c_birth_country
,c_login
,c_email_address
,d_year
)
select
t_s_secyear.customer_id
,t_s_secyear.customer_first_name
,t_s_secyear.customer_last_name
,t_s_secyear.customer_preferred_cust_flag
from year_total t_s_firstyear
,year_total t_s_secyear
,year_total t_w_firstyear
,year_total t_w_secyear
where t_s_secyear.customer_id = t_s_firstyear.customer_id
and t_s_firstyear.customer_id = t_w_secyear.customer_id
and t_s_firstyear.customer_id = t_w_firstyear.customer_id
and t_s_firstyear.sale_type = 's'
and t_w_firstyear.sale_type = 'w'
and t_s_secyear.sale_type = 's'
and t_w_secyear.sale_type = 'w'
and t_s_firstyear.dyear = 2001
and t_s_secyear.dyear = 2001+1
and t_w_firstyear.dyear = 2001
and t_w_secyear.dyear = 2001+1
and t_s_firstyear.year_total > 0
and t_w_firstyear.year_total > 0
and case when t_w_firstyear.year_total > 0 then t_w_secyear.year_total / t_w_firstyear.year_total else 0.0 end
> case when t_s_firstyear.year_total > 0 then t_s_secyear.year_total / t_s_firstyear.year_total else 0.0 end
order by t_s_secyear.customer_id
,t_s_secyear.customer_first_name
,t_s_secyear.customer_last_name
,t_s_secyear.customer_preferred_cust_flag
limit 100;
---- RESULTS
'AAAAAAAAAFGBBAAA','Howard','Major','Y'
'AAAAAAAAAMGDAAAA','Kenneth','Harlan','Y'
'AAAAAAAAAOPFBAAA','Jerry','Fields','Y'
'AAAAAAAABLEIBAAA','Paula','Wakefield','Y'
'AAAAAAAABNBBAAAA','Irma','Smith','Y'
'AAAAAAAACADPAAAA','Cristobal','Thomas','Y'
'AAAAAAAACFENAAAA','Christopher','Dawson','NULL'
'AAAAAAAACIJMAAAA','Elizabeth','Thomas','Y'
'AAAAAAAACJDIAAAA','James','Kerr','N'
'AAAAAAAACNAGBAAA','Virginia','May','N'
'AAAAAAAADBEFBAAA','Bennie','Bowers','N'
'AAAAAAAADCKOAAAA','Robert','Gonzalez','N'
'AAAAAAAADFKABAAA','Latoya','Craft','N'
'AAAAAAAADIIOAAAA','David','Carroll','Y'
'AAAAAAAADIJGBAAA','Ruth','Sanders','N'
'AAAAAAAADLHBBAAA','Henry','Bertrand','N'
'AAAAAAAAEADJAAAA','Ruth','Carroll','N'
'AAAAAAAAEJDLAAAA','Alice','Wright','N'
'AAAAAAAAEKFPAAAA','Annika','Chin','N'
'AAAAAAAAEKJLAAAA','Aisha','Carlson','Y'
'AAAAAAAAEPOGAAAA','Felisha','Mendes','Y'
'AAAAAAAAFACEAAAA','Priscilla','Miller','N'
'AAAAAAAAFBAHAAAA','Michael','Williams','N'
'AAAAAAAAFGIGAAAA','Eduardo','Miller','Y'
'AAAAAAAAFGPGAAAA','Albert','Wadsworth','Y'
'AAAAAAAAFMHIAAAA','Emilio','Darling','Y'
'AAAAAAAAFOGIAAAA','Michelle','Greene','N'
'AAAAAAAAFOJAAAAA','Don','Castillo','Y'
'AAAAAAAAGEHIAAAA','Tyler','Miller','N'
'AAAAAAAAGHPBBAAA','Nick','Mendez','Y'
'AAAAAAAAGNDAAAAA','Terry','Mcdowell','N'
'AAAAAAAAHGOABAAA','Sonia','White','N'
'AAAAAAAAHHCABAAA','William','Stewart','Y'
'AAAAAAAAHJLAAAAA','Audrey','Beltran','Y'
'AAAAAAAAHMJNAAAA','Ryan','Baptiste','Y'
'AAAAAAAAHMOIAAAA','Grace','Henderson','N'
'AAAAAAAAIADEBAAA','Diane','Aldridge','N'
'AAAAAAAAIBAEBAAA','Sandra','Wilson','N'
'AAAAAAAAIBFCBAAA','Ruth','Grantham','N'
'AAAAAAAAIBHHAAAA','Jennifer','Ballard','Y'
'AAAAAAAAICHFAAAA','Linda','Mccoy','N'
'AAAAAAAAIDKFAAAA','Michael','Mack','N'
'AAAAAAAAIJEMAAAA','Charlie','Cummings','Y'
'AAAAAAAAIMHBAAAA','Kathy','Knowles','N'
'AAAAAAAAIMHHBAAA','Lillian','Davidson','Y'
'AAAAAAAAJDBLAAAA','Melvin','Taylor','Y'
'AAAAAAAAJEKFBAAA','Norma','Burkholder','N'
'AAAAAAAAJGMMAAAA','Richard','Larson','Y'
'AAAAAAAAJIALAAAA','Santos','Gutierrez','N'
'AAAAAAAAJKBNAAAA','Julie','Kern','N'
'AAAAAAAAJMHLAAAA','Wanda','Ryan','Y'
'AAAAAAAAJONHBAAA','Warren','Orozco','N'
'AAAAAAAAJPINAAAA','Rose','Waite','Y'
'AAAAAAAAKAECAAAA','Milton','Mackey','N'
'AAAAAAAAKAPPAAAA','Karen','Parker','Y'
'AAAAAAAAKJBKAAAA','Georgia','Scott','N'
'AAAAAAAAKJBLAAAA','Kerry','Davis','Y'
'AAAAAAAAKKGEAAAA','Katie','Dunbar','N'
'AAAAAAAAKLHHBAAA','Manuel','Castaneda','N'
'AAAAAAAAKNAKAAAA','Gladys','Banks','N'
'AAAAAAAALFKKAAAA','Ignacio','Miller','Y'
'AAAAAAAALHMCAAAA','Brooke','Nelson','Y'
'AAAAAAAALIOPAAAA','Derek','Allen','Y'
'AAAAAAAALJNCBAAA','George','Gamez','Y'
'AAAAAAAAMDCAAAAA','Louann','Hamel','Y'
'AAAAAAAAMFFLAAAA','Margret','Gray','Y'
'AAAAAAAAMMOBBAAA','Margaret','Smith','N'
'AAAAAAAANFBDBAAA','Vernice','Fernandez','Y'
'AAAAAAAANGDBBAAA','Carlos','Jewell','N'
'AAAAAAAANIPLAAAA','Eric','Lawrence','Y'
'AAAAAAAANJAGAAAA','Allen','Hood','Y'
'AAAAAAAANJHCBAAA','Christopher','Schreiber','N'
'AAAAAAAANJOLAAAA','Debra','Underwood','Y'
'AAAAAAAAOBADBAAA','Elizabeth','Burnham','N'
'AAAAAAAAOCAJAAAA','Jenna','Staton','N'
'AAAAAAAAOCLBBAAA','NULL','NULL','NULL'
'AAAAAAAAODMMAAAA','Gayla','Cline','N'
'AAAAAAAAOFLCAAAA','James','Taylor','N'
'AAAAAAAAPDFBAAAA','Terrance','Banks','Y'
'AAAAAAAAPEHEBAAA','Edith','Molina','Y'
'AAAAAAAAPFCLAAAA','Felicia','Neville','N'
'AAAAAAAAPICEAAAA','Jennifer','Cortez','Y'
'AAAAAAAAPJENAAAA','Ashley','Norton','Y'
'AAAAAAAAPKBCBAAA','Andrea','White','N'
'AAAAAAAAPKIKAAAA','Wendy','Horvath','Y'
'AAAAAAAAPMMBBAAA','Paul','Jordan','N'
'AAAAAAAAPPIBBAAA','Candice','Lee','Y'
---- TYPES
STRING, STRING, STRING, STRING
====

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====
---- QUERY: TPCDS-Q12
select i_item_id
,i_item_desc
,i_category
,i_class
,i_current_price
,sum(ws_ext_sales_price) as itemrevenue
,sum(ws_ext_sales_price)*100/sum(sum(ws_ext_sales_price)) over
(partition by i_class) as revenueratio
from
web_sales
,item
,date_dim
where
ws_item_sk = i_item_sk
and i_category in ('Sports', 'Books', 'Home')
and ws_sold_date_sk = d_date_sk
and cast(d_date as timestamp) between cast('1999-02-22' as timestamp)
and (cast('1999-02-22' as timestamp) + interval 30 days)
group by
i_item_id
,i_item_desc
,i_category
,i_class
,i_current_price
order by
i_category
,i_class
,i_item_id
,i_item_desc
,revenueratio
limit 100;
---- RESULTS
'AAAAAAAAAAKAAAAA','Small, political activities help great, bad policies. Therefore square features provide on a machines. Rules make over me','Books','arts',2.42,2742.60,3.71
'AAAAAAAABHDCAAAA','Minor heads close common children; recently strong firms provide. Useful, young men ought to create changes. Popular, common regulations might decide. Points fit. Obvious, glad officials ','Books','arts',3.88,4258.84,5.77
'AAAAAAAACKEAAAAA','Legs appear eventually soci','Books','arts',35.27,4010.65,5.43
'AAAAAAAACMDCAAAA','Black, powerful others go now years. Diverse orders might not mean away medium minutes; tight authorities ought to put however for the things','Books','arts',2.75,1156.40,1.56
'AAAAAAAACNEDAAAA','Particularly labour stores get farmers. Hence true records see rel','Books','arts',6.89,6606.82,8.95
'AAAAAAAADCCDAAAA','Glad users understand very almost original jobs. Towns can understand. Supreme, following days work by a parents; german, crucial weapons work sure; fair pictur','Books','arts',7.18,10391.81,14.08
'AAAAAAAADJFCAAAA','Significant, preliminary boys can remain lightly more pale discussion','Books','arts',2.74,8279.54,11.22
'AAAAAAAADPCCAAAA','Especially true items might supply particularly. Black, automatic words might develop post-war problems. Fresh, visible workers could not appe','Books','arts',4.23,351.78,0.47
'AAAAAAAAEDKDAAAA','Times live now to a sales. British years bring all financ','Books','arts',4.24,11699.92,15.85
'AAAAAAAAEGAEAAAA','Far injuries pay so various arms. Courses could go anywhere universal possibilities; talks stand since mean, colonial scho','Books','arts',9.57,51.84,0.07
'AAAAAAAAFCFBAAAA','Golden estates meet as yet hands. About solid proteins used to tell. Once causal boots imagine frequently new elections; flexible, other ways find re','Books','arts',9.76,59.01,0.07
'AAAAAAAAGHOBAAAA','Fully existing proceedings could not tak','Books','arts',8.66,625.65,0.84
'AAAAAAAAIEPCAAAA','New, popular years should think. Shareholders speak also friends; special members could not identify social eyes; indoors full ','Books','arts',0.91,1390.83,1.88
'AAAAAAAAIHKBAAAA','Very historic arms may happen even able exis','Books','arts',9.19,13439.76,18.21
'AAAAAAAAIIPDAAAA','Af','Books','arts',6.04,109.23,0.14
'AAAAAAAAIJGAAAAA','Then western animals could teach somewhere. Today waiting servants confuse','Books','arts',4.10,868.50,1.17
'AAAAAAAAKKIAAAAA','Naked, popular schemes campaign then offices. Underlying shares may join','Books','arts',79.28,1841.04,2.49
'AAAAAAAAKNBCAAAA','Early, powerful towns add mainly english savings. Years assist then new, public colleagues. Things might encounter then right new features','Books','arts',6.89,365.60,0.49
'AAAAAAAAOKPBAAAA','Just good settings must not make; payments assure to a bishops. Principal, sorry amounts would safeguard very so other leaders; tory, substantial stairs m','Books','arts',2.60,5525.16,7.48
'AAAAAAAAABMBAAAA','Situations retain; units might sit operations; girls shall make. Ca','Books','business',3.16,1204.56,0.96
'AAAAAAAAACEBAAAA','Prese','Books','business',15.17,17499.32,14.07
'AAAAAAAAAKBDAAAA','Essential students change even despite a powers. General connections will not maximi','Books','business',3.10,84.80,0.06
'AAAAAAAABIPBAAAA','Ultimate, other objects might not install good ','Books','business',2.57,7199.93,5.79
'AAAAAAAABKACAAAA','Total pp. accept with a questions; able, generous a','Books','business',5.25,3702.38,2.97
'AAAAAAAABMDDAAAA','Head facts resolve even. Characteristics put. Toxic, genuine officials shall not meet. Difficult chil','Books','business',3.85,333.90,0.26
'AAAAAAAACDBCAAAA','Tiny years could run too above tough volumes. New germans must not leave as possible sales; inj','Books','business',1.22,799.89,0.64
'AAAAAAAACEPBAAAA','Long, married artists would see negative feelings. Emot','Books','business',1.73,2686.56,2.16
'AAAAAAAACPODAAAA','Cells stay economic, thin members. Soon special conservatives solve to the figu','Books','business',2.93,2431.81,1.95
'AAAAAAAADHNCAAAA','Originally major industries matter mediterranean bodies. Cases should not ','Books','business',45.06,2186.10,1.75
'AAAAAAAAEILDAAAA','Bad, able systems shall fall else. Nuclear, economic ways put in an paths. Serious, labour women must not muster however. Wide new readers ought to help ','Books','business',1.36,293.23,0.23
'AAAAAAAAFGJCAAAA','Secondary, red structures may seek eyes. High true titles should make now junior fat thoughts. Partly excellent authorities receive direct, net parties. Parents look most also other issues. Empty, con','Books','business',8.59,3319.89,2.67
'AAAAAAAAFLMDAAAA','Significantly relevant colleges extract knowingly broad investors. Entire members stay. Mediterranean legs would cut on the knees. Forthcoming, particular students u','Books','business',4.81,347.70,0.27
'AAAAAAAAFNOCAAAA','Wonderful systems ask also very parliamentary orders; british companies','Books','business',87.12,105.98,0.08
'AAAAAAAAGFDCAAAA','Particularly medieval blocks would not find slightly with a carers. Years respond about at a sec','Books','business',6.00,51.40,0.04
'AAAAAAAAGONBAAAA','Ever top offers might struggle far, automatic men. Long-term, long goods dare however; new, other gr','Books','business',2.30,1233.76,0.99
'AAAAAAAAIBKDAAAA','Hundreds drop nearly unacceptable accidents. Then strong methods tell large unions. Short companies should help so. Moves shall not set later chief problems. R','Books','business',0.78,1158.21,0.93
'AAAAAAAAIJECAAAA','Difficult, royal units put particularly significant, other plans. Essential, contemporary journals will need players. Alternatively parental','Books','business',4.34,10631.67,8.55
'AAAAAAAAIKEAAAAA','All ','Books','business',9.44,2.07,0.00
'AAAAAAAAIPADAAAA','Orders go into the documents. Social, existing specialists will seem twice associated wishes. Finally nation','Books','business',5.15,1755.92,1.41
'AAAAAAAAKAJDAAAA','Short neighbours implement innocently tiny titles. Briefly simple years should not tell potentially successful, whole years. Orange workers carry; home hot feet l','Books','business',4.43,17638.20,14.18
'AAAAAAAAKMAAAAAA','Plans consult interested, light boys. Selective, other problems create scientific, young parties. Sufficient speakers might not kiss too social, basic interests. Dual, other times s','Books','business',0.19,3867.73,3.11
'AAAAAAAALDFAAAAA','Hands may not allow only in a lands; linear, other pubs say; social, precise women identify for a patients. Preferences develop alone now rich motives. Ever good tas','Books','business',3.68,470.96,0.37
'AAAAAAAALGBBAAAA','Modern records retain about there civil plans. Social bodies survive. Great, living losses bother late, coherent others. About british sports ought to use cautiously from ','Books','business',1.94,229.35,0.18
'AAAAAAAALPDCAAAA','So small edges will understand currently in a things. New trains point usually systems. Years look growing questions. Different cases could sell just alive, late rules; big, large results will make ','Books','business',4.12,6151.95,4.94
'AAAAAAAAMIGCAAAA','Carefully physical hotels must put together; similar details cannot appreciate by a standards. Rates can break m','Books','business',6.63,25528.76,20.53
'AAAAAAAAMIMCAAAA','About likely houses like international members. Final, relevant birds answer after the paintings. Hungry, personal days borrow tiny, primary resources. As social relations could choose quite also ','Books','business',0.77,417.22,0.33
'AAAAAAAAMKHAAAAA','Unions shall see enough over true attitudes; of course full variable','Books','business',8.90,633.16,0.50
'AAAAAAAAMKNDAAAA','Special, clear elements would buy at a games. Things should spot today strange, only devices. Armies should like at a patients. Hands could perform simply narrow values. N','Books','business',1.28,11196.30,9.00
'AAAAAAAANACBAAAA','New teachers might demand never assets. Deeply bright ministers make generally never prime imports. Odd writings step common readers; talks take young, r','Books','business',2.95,1151.28,0.92
'AAAAAAAAAHKDAAAA','Decisions play actually exclusive activities. Well assistant e','Books','computers',8.77,822.69,0.98
'AAAAAAAABHEEAAAA','Subjects may remain officials. Forward, straight objects used to see wh','Books','computers',6.97,5663.04,6.77
'AAAAAAAAEAPAAAAA','Just distinct children think individuals; popular arguments develop here cautious methods; appropriate children might beat. Proper, empirical hundreds fall oth','Books','computers',4.01,9320.46,11.15
'AAAAAAAAEDMAAAAA','Books understand. Principles produce just at a premises. Years ','Books','computers',44.48,787.29,0.94
'AAAAAAAAEMHAAAAA','Boots recommend usually just local centres; c','Books','computers',7.56,765.23,0.91
'AAAAAAAAFEEAAAAA','Capital, united feelings paint only things. Greatly financial economies should not pay somewhere soviet necessary armies; educational concepts mus','Books','computers',3.83,78.76,0.09
'AAAAAAAAGENAAAAA','Genera','Books','computers',2.84,4719.74,5.65
'AAAAAAAAGHCBAAAA','Hundreds would meet regardless german, foreign scien','Books','computers',9.77,2451.75,2.93
'AAAAAAAAGMBDAAAA','Vulnerable b','Books','computers',0.58,31.86,0.03
'AAAAAAAAGNGBAAAA','Brilliant, massive prisons take still national others. Only northern guidelines go right by the lips. General, spiritual walls shall reach in a languages. British nations eat substantial polici','Books','computers',3.42,2248.01,2.69
'AAAAAAAAIGCEAAAA','Concerned numbers can attempt now particular, white friends; un','Books','computers',3.38,1297.25,1.55
'AAAAAAAAIGJAAAAA','Probably terrible students may go. There whole issues get academic, soviet charts. ','Books','computers',4.11,84.42,0.10
'AAAAAAAAIILCAAAA','At least low personnel might a','Books','computers',9.13,529.20,0.63
'AAAAAAAAJBADAAAA','Mean, good relations wake however strictly white possibilities. About aw','Books','computers',6.42,5473.02,6.55
'AAAAAAAAJJGBAAAA','Strangers gain officially enough labour problems. Overall systems may not help below lives. Heroes find just apparently generous couple','Books','computers',7.15,7846.40,9.39
'AAAAAAAALCDAAAAA','Clearly actual places would supply apparently only rats.','Books','computers',4.34,4611.20,5.52
'AAAAAAAALDBBAAAA','Mines should talk outside trees. Regular eyes encourage with an victims. Civil functions try actions. Movies fit secretly for a regions. Whole, imperial customs forget','Books','computers',7.44,5240.16,6.27
'AAAAAAAAMJEAAAAA','Local pro','Books','computers',1.04,843.52,1.00
'AAAAAAAAMMDEAAAA','Women support almost','Books','computers',4.68,1401.06,1.67
'AAAAAAAAMNOBAAAA','Scientific, young creditors might see for the alternativ','Books','computers',6.98,100.95,0.12
'AAAAAAAAMOHBAAAA','Fortunately past rules mind respectively appropriate losses. Men must develop above the sources. Mere values lis','Books','computers',2.02,5603.38,6.70
'AAAAAAAANAJDAAAA','Religious, delicious ways must a','Books','computers',7.07,14.55,0.01
'AAAAAAAANFJBAAAA','Only old doors shall wear again. Earlier high minerals might not tell better persona','Books','computers',16.62,0.00,0.00
'AAAAAAAANHFDAAAA','Easier strong operators could not break very; new, permanent animals ','Books','computers',1.15,2953.07,3.53
'AAAAAAAAOBNDAAAA','Levels undermine unfortunately efficient weeks','Books','computers',2.19,2853.36,3.41
'AAAAAAAAPDLCAAAA','Inc considerations should dare sales. Little, long chapters check better exciting employers. Still english unions could pull wrong shoes. Factors would kee','Books','computers',70.39,7100.08,8.50
'AAAAAAAAPJCCAAAA','Strong, british horses may not choose less. Results will not carry harsh workers. False claims will want over labour increases. Co','Books','computers',1.05,7745.78,9.27
'AAAAAAAAPKOBAAAA','Yet whole dealers p','Books','computers',3.63,2856.73,3.42
'AAAAAAAAPLIDAAAA','Items look somewhat new designs. Patients should solve about a officers. Minutes can act still companies. About dangerous records will not run towa','Books','computers',1.43,86.09,0.10
'AAAAAAAAABPAAAAA','Particularly professional women may not tell never present, distant times. Current, only weeks could hurry quite appropriate months. Little attacks waste carefully never politi','Books','cooking',1.82,6350.52,12.31
'AAAAAAAAAJNDAAAA','Physical, political decis','Books','cooking',6.76,0.00,0.00
'AAAAAAAABINAAAAA','Below invisi','Books','cooking',9.59,2547.42,4.94
'AAAAAAAABONAAAAA','Gains cannot cross colourful, long individuals. Drily red difficulties may not say to a plans. Very different cases ta','Books','cooking',1.60,1388.77,2.69
'AAAAAAAACBDCAAAA','Well independent scores fight rare changes. Scottish rights would not give; implicit, modern services like yet. Conservative, effective yards should marry about a buildings. Valid, m','Books','cooking',0.50,381.18,0.73
'AAAAAAAAGALAAAAA','Great, only pages might not contribute so; small components require on a films. Times find apparently. So traditional sources find conditions. Gro','Books','cooking',3.40,2359.09,4.57
'AAAAAAAAGMMCAAAA','Chief countries leave actually rural, other fathers. Women discover very otherwise large ministers. Slow, envi','Books','cooking',7.35,13258.98,25.71
'AAAAAAAAGOCAAAAA','Historical, economic lights shall stand much big, odd proposals. Rather grateful branches ought to take. Northern, high miles must ask increasingly. Once chronic','Books','cooking',4.37,3383.64,6.56
'AAAAAAAAKCCAAAAA','Possible schools carry primarily dual rises; important meetings could continue other passengers. More scottish things might not fall orders. Right, unable expectati','Books','cooking',4.44,4158.51,8.06
'AAAAAAAAKEJAAAAA','Other, atlantic regions know fast. Li','Books','cooking',68.84,5439.00,10.54
'AAAAAAAAKJGDAAAA','International eyes might see sales. Joint universities must not hold somewhat with a days. Perfect, profitable trials ought to seem; even pale quantities ','Books','cooking',0.94,5746.30,11.14
'AAAAAAAALBKAAAAA','Conditions used to test so for a spirits; open, royal provisions might not look approximate','Books','cooking',36.97,5238.71,10.16
'AAAAAAAALIGAAAAA','There superb accidents may strike individual results. Quiet, only forests drop as little unlikely towns. Observations can discern with a points. Substantial banks dest','Books','cooking',0.88,73.37,0.14
'AAAAAAAAMIBCAAAA','Views present rapidly in the relations. Average winners could fall double stations; also corresponding heroes promote direct,','Books','cooking',3.17,693.26,1.34
'AAAAAAAAONGCAAAA','Outcomes will become high wide, substantial clients. Sufficient, new resources weaken only over the moments. Of cour','Books','cooking',1.32,170.00,0.32
'AAAAAAAAPNFEAAAA','Wooden, civil fingers keep great, possible scales. Police begin ago in common responsible times. Further open fathers can believe aga','Books','cooking',0.33,367.15,0.71
'AAAAAAAAADBDAAAA','Upper men used to give still different girls. Proposals subsidise famous nerves. C','Books','entertainments',2.21,701.28,1.07
'AAAAAAAAAIKCAAAA','Troubles must know wise indicators. Kinds enter technical, new doubts. Likely, annual eyes see equivalent payments. Both inadequate feelings decide ever initial ','Books','entertainments',5.04,10130.68,15.55
'AAAAAAAABGOBAAAA','Japanese, long students may help very; there partial bombs must assess; intentions cannot execute most certain children; indeed necessary a','Books','entertainments',5.36,1174.34,1.80
'AAAAAAAACIDAAAAA','Millions might answer. Attractive rules might beat coloured volunteers. Scottis','Books','entertainments',3.51,4097.70,6.29
'AAAAAAAADCOAAAAA','Silly acres shall belong alike following, similar pairs. Respectively lucky newspapers shall dare. Also labour requirements can leave; pounds used to stay even only solicitors. Silver systems may de','Books','entertainments',75.74,613.76,0.94
'AAAAAAAADGKAAAAA','However small values ','Books','entertainments',1.49,3795.87,5.82
---- TYPES
STRING, STRING, STRING, STRING, DECIMAL, DECIMAL, DECIMAL
====

View File

@@ -0,0 +1,56 @@
====
---- QUERY: TPCDS-Q13
select avg(ss_quantity)
,avg(ss_ext_sales_price)
,avg(ss_ext_wholesale_cost)
,sum(ss_ext_wholesale_cost)
from store_sales
,store
,customer_demographics
,household_demographics
,customer_address
,date_dim
where s_store_sk = ss_store_sk
and ss_sold_date_sk = d_date_sk and d_year = 2001
and((ss_hdemo_sk=hd_demo_sk
and cd_demo_sk = ss_cdemo_sk
and cd_marital_status = 'M'
and cd_education_status = 'Advanced Degree'
and ss_sales_price between 100.00 and 150.00
and hd_dep_count = 3
)or
(ss_hdemo_sk=hd_demo_sk
and cd_demo_sk = ss_cdemo_sk
and cd_marital_status = 'S'
and cd_education_status = 'College'
and ss_sales_price between 50.00 and 100.00
and hd_dep_count = 1
) or
(ss_hdemo_sk=hd_demo_sk
and cd_demo_sk = ss_cdemo_sk
and cd_marital_status = 'W'
and cd_education_status = '2 yr Degree'
and ss_sales_price between 150.00 and 200.00
and hd_dep_count = 1
))
and((ss_addr_sk = ca_address_sk
and ca_country = 'United States'
and ca_state in ('TX', 'OH', 'TX')
and ss_net_profit between 100 and 200
) or
(ss_addr_sk = ca_address_sk
and ca_country = 'United States'
and ca_state in ('OR', 'NM', 'KY')
and ss_net_profit between 150 and 300
) or
(ss_addr_sk = ca_address_sk
and ca_country = 'United States'
and ca_state in ('VA', 'TX', 'MS')
and ss_net_profit between 50 and 250
))
;
---- RESULTS
31,2551.86,2365.94,14195.66
---- TYPES
DOUBLE, DECIMAL, DECIMAL, DECIMAL
====

View File

@@ -0,0 +1,123 @@
====
---- QUERY: TPCDS-Q15
select ca_zip
,sum(cs_sales_price)
from catalog_sales
,customer
,customer_address
,date_dim
where cs_bill_customer_sk = c_customer_sk
and c_current_addr_sk = ca_address_sk
and ( substr(ca_zip,1,5) in ('85669', '86197','88274','83405','86475',
'85392', '85460', '80348', '81792')
or ca_state in ('CA','WA','GA')
or cs_sales_price > 500)
and cs_sold_date_sk = d_date_sk
and d_qoy = 2 and d_year = 2001
group by ca_zip
order by ca_zip
limit 100;
---- RESULTS
'30059',688.80
'30069',323.60
'30150',372.79
'30162',1609.70
'30169',1326.30
'30191',513.21
'30194',244.76
'30309',94.27
'30330',447.07
'30399',196.46
'30411',713.29
'30492',115.82
'30499',1142.24
'30525',406.09
'30534',1341.26
'30587',297.85
'31087',573.97
'31289',669.35
'31387',1226.80
'31675',362.70
'31692',541.53
'31749',182.57
'31757',1553.34
'31838',862.54
'31933',675.18
'31952',1063.42
'32219',707.81
'32293',828.11
'32477',329.28
'32565',368.44
'32724',519.06
'32812',1129.14
'32898',1283.01
'33003',838.16
'33075',190.62
'33394',138.83
'33451',1441.78
'33511',431.19
'33604',1224.86
'33683',616.38
'33951',1241.72
'34027',407.13
'34062',443.22
'34092',366.23
'34098',276.14
'34107',1320.29
'34136',465.89
'34190',426.36
'34244',1508.42
'34289',360.52
'34338',1290.05
'34466',1926.39
'34536',462.20
'34593',1237.42
'34854',473.89
'34975',293.97
'35038',532.46
'35115',465.95
'35124',1186.38
'35281',820.44
'35413',328.47
'35508',309.54
'35709',526.74
'35752',278.29
'35804',1067.01
'35817',2487.41
'35867',581.94
'36060',173.58
'36074',230.91
'36098',907.80
'36115',298.06
'36192',1034.53
'36534',1649.99
'36557',1722.27
'36614',1557.87
'36668',730.76
'36719',1039.55
'36787',463.11
'36867',473.78
'36871',777.15
'36971',505.82
'37057',2784.75
'37683',526.34
'37746',1903.08
'37838',984.60
'38014',337.71
'38048',670.99
'38054',1377.23
'38075',827.32
'38119',237.47
'38167',620.19
'38222',2633.06
'38354',2411.29
'38370',1494.42
'38371',716.56
'38579',601.67
'38605',189.50
'38721',2085.27
'38828',261.89
'38877',251.15
---- TYPES
STRING, DECIMAL
====

View File

@@ -0,0 +1,35 @@
====
---- QUERY: TPCDS-Q16
select
count(distinct cs_order_number) as "order count"
,sum(cs_ext_ship_cost) as "total shipping cost"
,sum(cs_net_profit) as "total net profit"
from
catalog_sales cs1
,date_dim
,customer_address
,call_center
where
cast(d_date as timestamp) between cast('2002-02-01' as timestamp) and
(cast('2002-02-01' as timestamp) + interval 60 days)
and cs1.cs_ship_date_sk = d_date_sk
and cs1.cs_ship_addr_sk = ca_address_sk
and ca_state = 'GA'
and cs1.cs_call_center_sk = cc_call_center_sk
and cc_county in ('Williamson County','Williamson County','Williamson County','Williamson County',
'Williamson County'
)
and exists (select *
from catalog_sales cs2
where cs1.cs_order_number = cs2.cs_order_number
and cs1.cs_warehouse_sk <> cs2.cs_warehouse_sk)
and not exists(select *
from catalog_returns cr1
where cs1.cs_order_number = cr1.cr_order_number)
order by count(distinct cs_order_number)
limit 100;
---- RESULTS
236,1062963.89,-214910.61
---- TYPES
BIGINT, DECIMAL, DECIMAL
====

View File

@@ -0,0 +1,49 @@
====
---- QUERY: TPCDS-Q17
select i_item_id
,i_item_desc
,s_state
,count(ss_quantity) as store_sales_quantitycount
,avg(ss_quantity) as store_sales_quantityave
,stddev_samp(ss_quantity) as store_sales_quantitystdev
,stddev_samp(ss_quantity)/avg(ss_quantity) as store_sales_quantitycov
,count(sr_return_quantity) as store_returns_quantitycount
,avg(sr_return_quantity) as store_returns_quantityave
,stddev_samp(sr_return_quantity) as store_returns_quantitystdev
,stddev_samp(sr_return_quantity)/avg(sr_return_quantity) as store_returns_quantitycov
,count(cs_quantity) as catalog_sales_quantitycount ,avg(cs_quantity) as catalog_sales_quantityave
,stddev_samp(cs_quantity) as catalog_sales_quantitystdev
,stddev_samp(cs_quantity)/avg(cs_quantity) as catalog_sales_quantitycov
from store_sales
,store_returns
,catalog_sales
,date_dim d1
,date_dim d2
,date_dim d3
,store
,item
where d1.d_quarter_name = '2001Q1'
and d1.d_date_sk = ss_sold_date_sk
and i_item_sk = ss_item_sk
and s_store_sk = ss_store_sk
and ss_customer_sk = sr_customer_sk
and ss_item_sk = sr_item_sk
and ss_ticket_number = sr_ticket_number
and sr_returned_date_sk = d2.d_date_sk
and d2.d_quarter_name in ('2001Q1','2001Q2','2001Q3')
and sr_customer_sk = cs_bill_customer_sk
and sr_item_sk = cs_item_sk
and cs_sold_date_sk = d3.d_date_sk
and d3.d_quarter_name in ('2001Q1','2001Q2','2001Q3')
group by i_item_id
,i_item_desc
,s_state
order by i_item_id
,i_item_desc
,s_state
limit 100;
---- RESULTS
'AAAAAAAAKPFEAAAA','Recently right','TN',1,99,NULL,NULL,1,66,NULL,NULL,1,32,NULL,NULL
---- TYPES
STRING, STRING, STRING, BIGINT, DOUBLE, DOUBLE, DOUBLE, BIGINT, DOUBLE, DOUBLE, DOUBLE, BIGINT, DOUBLE, DOUBLE, DOUBLE
====

View File

@@ -0,0 +1,159 @@
====
---- QUERY: TPCDS-Q18A
with results as
(select i_item_id,
ca_country,
ca_state,
ca_county,
cast(cs_quantity as decimal(12,2)) agg1,
cast(cs_list_price as decimal(12,2)) agg2,
cast(cs_coupon_amt as decimal(12,2)) agg3,
cast(cs_sales_price as decimal(12,2)) agg4,
cast(cs_net_profit as decimal(12,2)) agg5,
cast(c_birth_year as decimal(12,2)) agg6,
cast(cd1.cd_dep_count as decimal(12,2)) agg7
from catalog_sales, customer_demographics cd1, customer_demographics cd2, customer, customer_address, date_dim, item
where cs_sold_date_sk = d_date_sk and
cs_item_sk = i_item_sk and
cs_bill_cdemo_sk = cd1.cd_demo_sk and
cs_bill_customer_sk = c_customer_sk and
cd1.cd_gender = 'F' and
cd1.cd_education_status = 'Unknown' and
c_current_cdemo_sk = cd2.cd_demo_sk and
c_current_addr_sk = ca_address_sk and
c_birth_month in (1, 6, 8, 9, 12, 2) and
d_year = 1998 and
ca_state in ('MS', 'IN', 'ND', 'OK', 'NM', 'VA', 'MS')
)
select i_item_id, ca_country, ca_state, ca_county, agg1, agg2, agg3, agg4, agg5, agg6, agg7
from (
select i_item_id, ca_country, ca_state, ca_county, avg(agg1) agg1,
avg(agg2) agg2, avg(agg3) agg3, avg(agg4) agg4, avg(agg5) agg5, avg(agg6) agg6, avg(agg7) agg7
from results
group by i_item_id, ca_country, ca_state, ca_county
union all
select i_item_id, ca_country, ca_state, NULL as county, avg(agg1) agg1, avg(agg2) agg2, avg(agg3) agg3,
avg(agg4) agg4, avg(agg5) agg5, avg(agg6) agg6, avg(agg7) agg7
from results
group by i_item_id, ca_country, ca_state
union all
select i_item_id, ca_country, NULL as ca_state, NULL as county, avg(agg1) agg1, avg(agg2) agg2, avg(agg3) agg3,
avg(agg4) agg4, avg(agg5) agg5, avg(agg6) agg6, avg(agg7) agg7
from results
group by i_item_id, ca_country
union all
select i_item_id, NULL as ca_country, NULL as ca_state, NULL as county, avg(agg1) agg1, avg(agg2) agg2, avg(agg3) agg3,
avg(agg4) agg4, avg(agg5) agg5, avg(agg6) agg6, avg(agg7) agg7
from results
group by i_item_id
union all
select NULL AS i_item_id, NULL as ca_country, NULL as ca_state, NULL as county, avg(agg1) agg1, avg(agg2) agg2, avg(agg3) agg3,
avg(agg4) agg4, avg(agg5) agg5, avg(agg6) agg6, avg(agg7) agg7
from results
) foo
order by ca_country, ca_state, ca_county, i_item_id
limit 100;
---- RESULTS
'AAAAAAAABFBAAAAA','United States','IN','Adams County',8.00,86.17,0.00,85.30,415.20,1981.00,2.00
'AAAAAAAADMKDAAAA','United States','IN','Adams County',99.00,29.12,0.00,11.06,-562.32,1981.00,2.00
'AAAAAAAAEGDAAAAA','United States','IN','Adams County',70.00,51.12,0.00,34.25,1110.20,1981.00,2.00
'AAAAAAAAGHGAAAAA','United States','IN','Adams County',90.00,73.47,0.00,36.73,-1318.50,1981.00,2.00
'AAAAAAAAKBCBAAAA','United States','IN','Adams County',35.00,46.23,973.00,28.66,-682.85,1981.00,2.00
'AAAAAAAACCJAAAAA','United States','IN','Cass County',67.00,55.73,679.48,36.22,-14.17,1972.00,1.00
'AAAAAAAACIMBAAAA','United States','IN','Cass County',51.00,21.90,294.86,17.52,-86.78,1972.00,1.00
'AAAAAAAADJPBAAAA','United States','IN','Cass County',88.00,51.59,0.00,49.01,2697.20,1972.00,1.00
'AAAAAAAAHJDDAAAA','United States','IN','Cass County',77.00,38.31,0.00,32.94,-300.30,1972.00,1.00
'AAAAAAAANFAEAAAA','United States','IN','Cass County',46.00,110.69,0.00,47.59,-1474.30,1972.00,1.00
'AAAAAAAAOLJDAAAA','United States','IN','Cass County',59.00,239.30,0.00,50.25,-2918.14,1972.00,1.00
'AAAAAAAACEGCAAAA','United States','IN','Clark County',42.00,24.85,0.00,13.66,-188.16,1975.00,3.00
'AAAAAAAACLPDAAAA','United States','IN','Clark County',1.00,61.08,0.00,0.61,-23.16,1975.00,3.00
'AAAAAAAAGLDAAAAA','United States','IN','Clark County',11.00,204.81,0.00,12.28,-963.93,1975.00,3.00
'AAAAAAAAJPKAAAAA','United States','IN','Clark County',52.00,11.51,201.45,5.87,-240.45,1975.00,3.00
'AAAAAAAALJCDAAAA','United States','IN','Clark County',83.00,101.54,684.18,29.44,-3002.37,1975.00,3.00
'AAAAAAAACLICAAAA','United States','IN','Crawford County',51.00,126.57,0.00,78.47,1663.11,1930.00,4.00
'AAAAAAAAJEDAAAAA','United States','IN','Crawford County',83.00,78.26,6237.52,75.91,-5952.00,1930.00,4.00
'AAAAAAAALJFAAAAA','United States','IN','Crawford County',82.00,94.10,0.00,34.81,-4637.10,1930.00,4.00
'AAAAAAAAODJAAAAA','United States','IN','Crawford County',49.00,151.09,0.00,15.10,-2198.14,1930.00,4.00
'AAAAAAAAOPBBAAAA','United States','IN','Crawford County',73.00,162.05,0.00,71.30,839.50,1930.00,4.00
'AAAAAAAAAGCDAAAA','United States','IN','De Kalb County',15.00,33.56,0.00,29.53,191.25,1963.00,5.00
'AAAAAAAAALBCAAAA','United States','IN','De Kalb County',3.00,43.18,0.00,5.18,-39.12,1963.00,5.00
'AAAAAAAACICCAAAA','United States','IN','De Kalb County',62.00,111.50,0.00,66.90,-1050.28,1963.00,5.00
'AAAAAAAADFIDAAAA','United States','IN','De Kalb County',75.00,277.95,0.00,150.09,3811.50,1963.00,5.00
'AAAAAAAAGDDBAAAA','United States','IN','De Kalb County',17.00,102.12,0.00,30.63,-438.43,1963.00,5.00
'AAAAAAAAGDDCAAAA','United States','IN','De Kalb County',72.00,7.99,404.35,7.91,-58.75,1963.00,5.00
'AAAAAAAAIHLCAAAA','United States','IN','De Kalb County',76.00,234.20,0.00,201.41,8271.84,1963.00,5.00
'AAAAAAAAILCBAAAA','United States','IN','De Kalb County',92.00,87.33,0.00,3.49,-2781.16,1963.00,5.00
'AAAAAAAAJIDCAAAA','United States','IN','De Kalb County',1.00,82.20,0.00,62.47,-4.36,1963.00,5.00
'AAAAAAAAACBCAAAA','United States','IN','Dearborn County',1.00,77.53,0.00,49.61,-1.40,1982.00,0.00
'AAAAAAAACOHCAAAA','United States','IN','Dearborn County',53.00,76.54,258.73,22.19,-2407.88,1982.00,0.00
'AAAAAAAAFBBAAAAA','United States','IN','Dearborn County',66.00,121.25,0.00,54.56,-524.04,1982.00,0.00
'AAAAAAAAFIBCAAAA','United States','IN','Dearborn County',26.00,38.28,0.00,25.64,222.30,1982.00,0.00
'AAAAAAAAILEDAAAA','United States','IN','Dearborn County',96.00,213.31,491.32,17.06,-7995.64,1982.00,0.00
'AAAAAAAAKIKDAAAA','United States','IN','Dearborn County',96.00,168.66,0.00,123.12,4840.32,1982.00,0.00
'AAAAAAAAKPEDAAAA','United States','IN','Dearborn County',1.00,103.55,10.25,93.19,40.15,1982.00,0.00
'AAAAAAAAMFKBAAAA','United States','IN','Dearborn County',79.00,98.01,0.00,81.34,2217.53,1982.00,0.00
'AAAAAAAAMFOBAAAA','United States','IN','Dearborn County',10.00,203.77,90.06,52.98,-293.26,1982.00,0.00
'AAAAAAAAMLIBAAAA','United States','IN','Dearborn County',37.00,48.54,0.00,0.00,-1350.50,1982.00,0.00
'AAAAAAAAMOIAAAAA','United States','IN','Dearborn County',60.00,173.07,1623.98,58.84,-1578.38,1982.00,0.00
'AAAAAAAAONBAAAAA','United States','IN','Dearborn County',14.00,17.24,0.00,1.37,-114.24,1982.00,0.00
'AAAAAAAAPFEBAAAA','United States','IN','Dearborn County',35.00,141.77,0.00,89.31,920.50,1982.00,0.00
'AAAAAAAAAEJBAAAA','United States','IN','Fayette County',76.00,85.66,0.00,17.13,-4670.96,1985.00,2.00
'AAAAAAAAALIBAAAA','United States','IN','Fayette County',53.00,170.42,3689.47,161.89,-45.19,1985.00,2.00
'AAAAAAAACDADAAAA','United States','IN','Fayette County',43.00,45.12,0.00,34.29,774.00,1985.00,2.00
'AAAAAAAADKDAAAAA','United States','IN','Fayette County',75.00,40.58,0.00,38.14,606.00,1985.00,2.00
'AAAAAAAAGCBCAAAA','United States','IN','Fayette County',50.00,118.21,648.90,72.10,-1849.40,1985.00,2.00
'AAAAAAAAGKOBAAAA','United States','IN','Fayette County',2.00,85.08,0.00,45.09,-42.76,1985.00,2.00
'AAAAAAAAGMLAAAAA','United States','IN','Fayette County',7.00,28.73,0.00,24.42,62.79,1985.00,2.00
'AAAAAAAAKNODAAAA','United States','IN','Fayette County',97.00,153.25,227.41,78.15,-554.30,1985.00,2.00
'AAAAAAAAKOPBAAAA','United States','IN','Fayette County',28.00,67.69,1021.31,37.22,-1520.27,1985.00,2.00
'AAAAAAAAMJJCAAAA','United States','IN','Fayette County',67.00,25.67,0.00,21.81,775.86,1985.00,2.00
'AAAAAAAANAHCAAAA','United States','IN','Fayette County',55.00,45.89,368.94,7.80,-844.69,1985.00,2.00
'AAAAAAAAAOFDAAAA','United States','IN','Fountain County',87.00,28.71,0.00,27.84,1472.04,1968.00,6.00
'AAAAAAAACCGBAAAA','United States','IN','Fountain County',85.00,44.48,0.00,30.24,15.30,1968.00,6.00
'AAAAAAAAIIADAAAA','United States','IN','Fountain County',78.00,118.17,0.00,115.80,3411.72,1968.00,6.00
'AAAAAAAAOBDBAAAA','United States','IN','Fountain County',65.00,188.63,0.00,165.99,5481.45,1968.00,6.00
'AAAAAAAAAEABAAAA','United States','IN','Hamilton County',32.00,29.89,0.00,28.39,391.36,1932.00,5.00
'AAAAAAAAAEFCAAAA','United States','IN','Hamilton County',32.00,31.97,0.00,18.54,65.92,1932.00,5.00
'AAAAAAAAAMNDAAAA','United States','IN','Hamilton County',70.00,101.27,4284.88,65.82,-4341.58,1932.00,5.00
'AAAAAAAAEPKCAAAA','United States','IN','Hamilton County',35.00,128.90,0.00,105.69,2021.95,1932.00,5.00
'AAAAAAAAGIMAAAAA','United States','IN','Hamilton County',79.00,12.06,326.71,8.44,-118.15,1932.00,5.00
'AAAAAAAAGKFBAAAA','United States','IN','Hamilton County',43.00,23.85,0.00,0.95,-580.93,1932.00,5.00
'AAAAAAAAIFICAAAA','United States','IN','Hamilton County',86.00,2.45,0.00,1.98,48.16,1932.00,5.00
'AAAAAAAACHNDAAAA','United States','IN','Jennings County',36.00,2.87,0.00,0.11,-49.32,1958.00,2.00
'AAAAAAAADBECAAAA','United States','IN','Jennings County',59.00,89.31,775.52,57.15,747.27,1958.00,2.00
'AAAAAAAAIAHBAAAA','United States','IN','Jennings County',2.00,42.43,0.00,22.06,-12.46,1958.00,2.00
'AAAAAAAAICDEAAAA','United States','IN','Jennings County',17.00,146.85,0.00,41.11,-524.96,1958.00,2.00
'AAAAAAAANDMAAAAA','United States','IN','Jennings County',32.00,238.00,637.45,21.42,-2870.09,1958.00,2.00
'AAAAAAAAPNBCAAAA','United States','IN','Jennings County',59.00,230.88,0.00,223.95,7465.27,1958.00,2.00
'AAAAAAAAAICBAAAA','United States','IN','Johnson County',59.00,156.86,0.00,37.64,-1144.60,1924.00,2.00
'AAAAAAAACGJAAAAA','United States','IN','Johnson County',41.00,111.54,0.00,72.50,1333.32,1924.00,2.00
'AAAAAAAAHNPCAAAA','United States','IN','Johnson County',5.00,229.90,885.99,188.51,-432.59,1924.00,2.00
'AAAAAAAAKBBCAAAA','United States','IN','Johnson County',80.00,105.66,0.00,73.96,-344.80,1924.00,2.00
'AAAAAAAAKMEDAAAA','United States','IN','Johnson County',11.00,81.28,0.00,27.63,-343.97,1924.00,2.00
'AAAAAAAAKNCEAAAA','United States','IN','Johnson County',68.00,100.51,0.00,18.09,-4713.08,1924.00,2.00
'AAAAAAAADAEDAAAA','United States','IN','Kosciusko County',84.00,68.84,464.19,7.57,-2622.15,1987.00,1.00
'AAAAAAAAENDAAAAA','United States','IN','Kosciusko County',99.00,142.12,679.55,98.06,3855.64,1987.00,1.00
'AAAAAAAAHHFAAAAA','United States','IN','Kosciusko County',59.00,74.54,0.00,64.84,2237.87,1987.00,1.00
'AAAAAAAAHKHBAAAA','United States','IN','Kosciusko County',16.00,58.20,0.00,27.35,-97.60,1987.00,1.00
'AAAAAAAAIFBCAAAA','United States','IN','Kosciusko County',44.00,69.88,0.00,69.88,1464.76,1987.00,1.00
'AAAAAAAAKCLDAAAA','United States','IN','Kosciusko County',53.00,171.98,0.00,29.23,-1997.57,1987.00,1.00
'AAAAAAAAKHCEAAAA','United States','IN','Kosciusko County',75.00,62.04,0.00,32.88,369.75,1987.00,1.00
'AAAAAAAALOFBAAAA','United States','IN','Kosciusko County',49.00,95.19,0.00,77.10,2135.42,1987.00,1.00
'AAAAAAAAMMIAAAAA','United States','IN','Kosciusko County',56.00,12.78,0.00,12.01,345.52,1987.00,1.00
'AAAAAAAAPHADAAAA','United States','IN','Kosciusko County',19.00,89.15,0.00,1.78,-638.40,1987.00,1.00
'AAAAAAAAAJAEAAAA','United States','IN','La Porte County',56.00,84.85,0.00,6.78,-2990.40,1975.00,4.00
'AAAAAAAAALCBAAAA','United States','IN','La Porte County',61.00,80.16,0.00,26.45,-1646.39,1975.00,4.00
'AAAAAAAACDDCAAAA','United States','IN','La Porte County',31.00,129.15,0.00,38.74,-1182.34,1975.00,4.00
'AAAAAAAACDPDAAAA','United States','IN','La Porte County',23.00,54.41,282.09,22.30,-343.27,1975.00,4.00
'AAAAAAAADFEEAAAA','United States','IN','La Porte County',52.00,126.01,0.00,41.58,-829.92,1975.00,4.00
'AAAAAAAAEPJDAAAA','United States','IN','La Porte County',38.00,63.13,0.00,46.08,859.18,1975.00,4.00
'AAAAAAAAIEDBAAAA','United States','IN','La Porte County',13.00,50.53,0.00,31.32,-52.26,1975.00,4.00
'AAAAAAAAIOAEAAAA','United States','IN','La Porte County',10.00,53.35,0.00,33.07,122.30,1975.00,4.00
'AAAAAAAAJKMAAAAA','United States','IN','La Porte County',50.00,66.92,0.00,16.73,-749.50,1975.00,4.00
'AAAAAAAAKDBAAAAA','United States','IN','La Porte County',57.00,123.53,0.00,81.52,959.88,1975.00,4.00
'AAAAAAAAKIDBAAAA','United States','IN','La Porte County',38.00,50.20,0.00,40.66,-307.04,1975.00,4.00
'AAAAAAAALHDEAAAA','United States','IN','La Porte County',72.00,147.38,0.00,26.52,-3985.92,1975.00,4.00
'AAAAAAAALKEAAAAA','United States','IN','La Porte County',68.00,159.12,0.00,77.96,-709.92,1975.00,4.00
---- TYPES
STRING, STRING, STRING, STRING, DECIMAL, DECIMAL, DECIMAL, DECIMAL, DECIMAL, DECIMAL, DECIMAL
====

View File

@@ -0,0 +1,133 @@
====
---- QUERY: TPCDS-Q20
select i_item_id
,i_item_desc
,i_category
,i_class
,i_current_price
,sum(cs_ext_sales_price) as itemrevenue
,sum(cs_ext_sales_price)*100/sum(sum(cs_ext_sales_price)) over
(partition by i_class) as revenueratio
from catalog_sales
,item
,date_dim
where cs_item_sk = i_item_sk
and i_category in ('Sports', 'Books', 'Home')
and cs_sold_date_sk = d_date_sk
and cast(d_date as timestamp) between cast('1999-02-22' as timestamp)
and (cast('1999-02-22' as timestamp) + interval 30 days)
group by i_item_id
,i_item_desc
,i_category
,i_class
,i_current_price
order by i_category
,i_class
,i_item_id
,i_item_desc
,revenueratio
limit 100;
---- RESULTS
'AAAAAAAAAAKAAAAA','Small, political activities help great, bad policies. Therefore square features provide on a machines. Rules make over me','Books','arts',2.42,6478.75,3.22
'AAAAAAAAACKBAAAA','Clinical, inc initiatives make specially according to a activities.','Books','arts',6.92,1806.72,0.90
'AAAAAAAAAIJCAAAA','Simply small grounds use exactly effects. Services could kill especially aware, large observers. Civil, relevant years ensure regulations; clear drawings realize actors. Products employ a','Books','arts',1.76,14302.11,7.12
'AAAAAAAAAJIAAAAA','Joint, superior police would use through an restrictions. Buyers ought to contract generally in a efforts. Days cut also sure, frequent s','Books','arts',0.43,1094.80,0.54
'AAAAAAAABFHDAAAA','Little days answer in a emotions; players touch.','Books','arts',2.58,6331.08,3.15
'AAAAAAAABHDCAAAA','Minor heads close common children; recently strong firms provide. Useful, young men ought to create changes. Popular, common regulations might decide. Points fit. Obvious, glad officials ','Books','arts',3.88,2596.68,1.29
'AAAAAAAACBACAAAA','Remaining, main passengers go far sure men. ','Books','arts',4.78,700.70,0.34
'AAAAAAAACKDBAAAA','Positions can win increasingly entire units. Unions used to exclude fairly afraid fans. National fields appear also ways. Great lips print new teachers. Constant, primary deaths expect a little ','Books','arts',3.82,2828.38,1.40
'AAAAAAAACKEAAAAA','Legs appear eventually soci','Books','arts',35.27,438.70,0.21
'AAAAAAAACMDCAAAA','Black, powerful others go now years. Diverse orders might not mean away medium minutes; tight authorities ought to put however for the things','Books','arts',2.75,6743.51,3.36
'AAAAAAAACNEDAAAA','Particularly labour stores get farmers. Hence true records see rel','Books','arts',6.89,9386.80,4.67
'AAAAAAAADCCDAAAA','Glad users understand very almost original jobs. Towns can understand. Supreme, following days work by a parents; german, crucial weapons work sure; fair pictur','Books','arts',7.18,3375.52,1.68
'AAAAAAAADJFCAAAA','Significant, preliminary boys can remain lightly more pale discussion','Books','arts',2.74,3316.75,1.65
'AAAAAAAADPCCAAAA','Especially true items might supply particularly. Black, automatic words might develop post-war problems. Fresh, visible workers could not appe','Books','arts',4.23,4567.89,2.27
'AAAAAAAAEDKDAAAA','Times live now to a sales. British years bring all financ','Books','arts',4.24,5014.90,2.49
'AAAAAAAAEGAEAAAA','Far injuries pay so various arms. Courses could go anywhere universal possibilities; talks stand since mean, colonial scho','Books','arts',9.57,17491.20,8.71
'AAAAAAAAEPDDAAAA','Services used to work most new provi','Books','arts',2.84,481.44,0.23
'AAAAAAAAEPKAAAAA','Here political studies give once at the qu','Books','arts',1.78,2562.67,1.27
'AAAAAAAAFBMBAAAA','Years light glasses. Contemporary members might detect even drawings. Private instructions ought to expect well main streets. Children will say well; usually young members ought to ensure enough. ','Books','arts',4.78,1718.83,0.85
'AAAAAAAAFCKCAAAA','Brilliant, acceptable resources might not pick as. Positive, married parties support only strongly impossible needs. Photogra','Books','arts',2.44,2958.33,1.47
'AAAAAAAAGAKAAAAA','Especially early girls glance however specific, relevant steps. Financial worlds telephone most dark gains. Warm, outdoor devices defend besides. Unions must not say narrow powers; individual ti','Books','arts',8.96,2310.78,1.15
'AAAAAAAAGFHBAAAA','Contemporary occasions provide she','Books','arts',1.75,11988.75,5.97
'AAAAAAAAGHOBAAAA','Fully existing proceedings could not tak','Books','arts',8.66,2402.76,1.19
'AAAAAAAAGOKBAAAA','Othe','Books','arts',60.94,2242.14,1.11
'AAAAAAAAHPNCAAAA','Correct, certain humans cut','Books','arts',37.98,6152.65,3.06
'AAAAAAAAIAOAAAAA','Professional circumstances could live else others. Symptoms can see very leaves. Just personal institutions used to go. Capable workers used to play then able police.','Books','arts',2.40,2219.11,1.10
'AAAAAAAAIEPCAAAA','New, popular years should think. Shareholders speak also friends; special members could not identify social eyes; indoors full ','Books','arts',0.91,5462.06,2.72
'AAAAAAAAIHKBAAAA','Very historic arms may happen even able exis','Books','arts',9.19,8280.09,4.12
'AAAAAAAAIIPDAAAA','Af','Books','arts',6.04,4695.48,2.34
'AAAAAAAAIJGAAAAA','Then western animals could teach somewhere. Today waiting servants confuse','Books','arts',4.10,1589.42,0.79
'AAAAAAAAJJDBAAAA','Problems compete with a sets. Interesting, automatic pounds tell complete hills. ','Books','arts',1.20,18501.43,9.22
'AAAAAAAAKGBAAAAA','Light moments cannot date following sy','Books','arts',5.60,9688.12,4.82
'AAAAAAAAKICDAAAA','Wet, concerned representatives get up to a owners. Necessary, like','Books','arts',1.89,10823.82,5.39
'AAAAAAAAMFFAAAAA','Communities used to relocate clearly strange, new walls; european, rich championships make current depths. Sure studies may reflect only instinctively old forces. Foreign, diverse','Books','arts',8.22,3557.07,1.77
'AAAAAAAANIBAAAAA','Beneath decent wives write t','Books','arts',2.72,2235.93,1.11
'AAAAAAAAOJJCAAAA','Troops take only, right dogs. Briefly genuine eyes used to provide mutually coming, just parents. Too social services shall feel only rec','Books','arts',6.40,2193.52,1.09
'AAAAAAAAOKPBAAAA','Just good settings must not make; payments assure to a bishops. Principal, sorry amounts would safeguard very so other leaders; tory, substantial stairs m','Books','arts',2.60,5632.64,2.80
'AAAAAAAAOPKCAAAA','Less imp','Books','arts',9.12,1511.60,0.75
'AAAAAAAAPIEBAAAA','Main cheeks must put ','Books','arts',0.45,13.44,0.00
'AAAAAAAAPLLDAAAA','Old eyes could not give later issues. Claims might','Books','arts',9.00,4957.73,2.47
'AAAAAAAAABMBAAAA','Situations retain; units might sit operations; girls shall make. Ca','Books','business',3.16,905.62,0.57
'AAAAAAAAACEBAAAA','Prese','Books','business',15.17,5628.92,3.58
'AAAAAAAAADFAAAAA','Satisfactory, technical shadows get. Lexical structures would not blame. Only hard ','Books','business',78.25,9249.55,5.89
'AAAAAAAAAKBDAAAA','Essential students change even despite a powers. General connections will not maximi','Books','business',3.10,1162.52,0.74
'AAAAAAAAANHCAAAA','High ministers should not remove for a stations. Certain, linear weeks might not ask so from a improvements. Lakes must not implement f','Books','business',4.80,504.32,0.32
'AAAAAAAABIPBAAAA','Ultimate, other objects might not install good ','Books','business',2.57,2399.32,1.52
'AAAAAAAABKACAAAA','Total pp. accept with a questions; able, generous a','Books','business',5.25,6380.42,4.06
'AAAAAAAACDBCAAAA','Tiny years could run too above tough volumes. New germans must not leave as possible sales; inj','Books','business',1.22,5339.66,3.40
'AAAAAAAACDIBAAAA','Small results would go colours; sexual agencies ought to assure moreover unique premises; then complex provisions use often normal windows. Better educational girls should not believe however struct','Books','business',9.78,566.04,0.36
'AAAAAAAACEACAAAA','Other, direct letters ought to make from a ways. British, large men could not work a','Books','business',0.48,9562.96,6.09
'AAAAAAAACPODAAAA','Cells stay economic, thin members. Soon special conservatives solve to the figu','Books','business',2.93,13212.32,8.41
'AAAAAAAADHNCAAAA','Originally major industries matter mediterranean bodies. Cases should not ','Books','business',45.06,303.70,0.19
'AAAAAAAADNDDAAAA','Clear, harsh police used to include large, appropriate plans. Prices could produce more. There white weapons expect directly free conclusions. Responsibl','Books','business',4.57,3220.52,2.05
'AAAAAAAAEICAAAAA','Cases include proudly without a columns. Solid, pre','Books','business',2.42,7199.25,4.58
'AAAAAAAAEILDAAAA','Bad, able systems shall fall else. Nuclear, economic ways put in an paths. Serious, labour women must not muster however. Wide new readers ought to help ','Books','business',1.36,1349.33,0.85
'AAAAAAAAFGJCAAAA','Secondary, red structures may seek eyes. High true titles should make now junior fat thoughts. Partly excellent authorities receive direct, net parties. Parents look most also other issues. Empty, con','Books','business',8.59,3655.68,2.32
'AAAAAAAAFLMDAAAA','Significantly relevant colleges extract knowingly broad investors. Entire members stay. Mediterranean legs would cut on the knees. Forthcoming, particular students u','Books','business',4.81,1809.71,1.15
'AAAAAAAAGFDCAAAA','Particularly medieval blocks would not find slightly with a carers. Years respond about at a sec','Books','business',6.00,318.24,0.20
'AAAAAAAAGONBAAAA','Ever top offers might struggle far, automatic men. Long-term, long goods dare however; new, other gr','Books','business',2.30,1639.26,1.04
'AAAAAAAAIBKDAAAA','Hundreds drop nearly unacceptable accidents. Then strong methods tell large unions. Short companies should help so. Moves shall not set later chief problems. R','Books','business',0.78,1490.85,0.94
'AAAAAAAAIINDAAAA','Frames can park highly parents. White ma','Books','business',6.97,4313.52,2.74
'AAAAAAAAIJECAAAA','Difficult, royal units put particularly significant, other plans. Essential, contemporary journals will need players. Alternatively parental','Books','business',4.34,2268.00,1.44
'AAAAAAAAIJJCAAAA','Euro','Books','business',3.01,4889.34,3.11
'AAAAAAAAIKEAAAAA','All ','Books','business',9.44,182.52,0.11
'AAAAAAAAIPADAAAA','Orders go into the documents. Social, existing specialists will seem twice associated wishes. Finally nation','Books','business',5.15,242.88,0.15
'AAAAAAAAJMEDAAAA','Personal, significant activities agree only by a couples. Elaborate aut','Books','business',3.06,85.26,0.05
'AAAAAAAAKAJDAAAA','Short neighbours implement innocently tiny titles. Briefly simple years should not tell potentially successful, whole years. Orange workers carry; home hot feet l','Books','business',4.43,4949.49,3.15
'AAAAAAAAKAKAAAAA','Still urban stages shall not take for a legs. Other, holy demands pay further young, positive numbers. A little criminal i','Books','business',7.68,9959.06,6.34
'AAAAAAAAKMAAAAAA','Plans consult interested, light boys. Selective, other problems create scientific, young parties. Sufficient speakers might not kiss too social, basic interests. Dual, other times s','Books','business',0.19,910.16,0.57
'AAAAAAAALDFAAAAA','Hands may not allow only in a lands; linear, other pubs say; social, precise women identify for a patients. Preferences develop alone now rich motives. Ever good tas','Books','business',3.68,1816.45,1.15
'AAAAAAAALGBBAAAA','Modern records retain about there civil plans. Social bodies survive. Great, living losses bother late, coherent others. About british sports ought to use cautiously from ','Books','business',1.94,1252.09,0.79
'AAAAAAAAMALDAAAA','Here final difficulties would not comply just legal good motives. Enough sensitive things could not spend obviously with a systems. In pu','Books','business',91.76,356.85,0.22
'AAAAAAAAMIGCAAAA','Carefully physical hotels must put together; similar details cannot appreciate by a standards. Rates can break m','Books','business',6.63,562.96,0.35
'AAAAAAAAMIMCAAAA','About likely houses like international members. Final, relevant birds answer after the paintings. Hungry, personal days borrow tiny, primary resources. As social relations could choose quite also ','Books','business',0.77,2889.22,1.84
'AAAAAAAAMKHAAAAA','Unions shall see enough over true attitudes; of course full variable','Books','business',8.90,15263.90,9.72
'AAAAAAAAMKNDAAAA','Special, clear elements would buy at a games. Things should spot today strange, only devices. Armies should like at a patients. Hands could perform simply narrow values. N','Books','business',1.28,1069.76,0.68
'AAAAAAAANACBAAAA','New teachers might demand never assets. Deeply bright ministers make generally never prime imports. Odd writings step common readers; talks take young, r','Books','business',2.95,3975.16,2.53
'AAAAAAAAPDNAAAAA','Local, unlikely bits sign completely. Areas feel only manufacturing legs. Amounts must go personal, very things; areas could take clo','Books','business',5.20,3545.37,2.25
'AAAAAAAAPEKCAAAA','Alone countries must use so old, international functions. Only public cases see in a words. Normal methods forget even communist changes; technical numbers convert either natu','Books','business',4.67,3899.62,2.48
'AAAAAAAAPGDBAAAA','Certainly remaining flowers can wonder then just significant papers; places secure below as a bombs. Other, domestic members must allow very polite thi','Books','business',0.60,12462.77,7.94
'AAAAAAAAPHJAAAAA','Possibly great customs suit close looks. Capable, frequent processes shall pass possible dangers; hard, private words act measures. Mysterious, acceptable fac','Books','business',6.64,6141.24,3.91
'AAAAAAAAAALDAAAA','Forward liable funds may not end from time to time local, domestic chiefs. Major, well-known newspapers can regain together new, white conclusions. Very vital employees can draw','Books','computers',17.54,588.01,0.31
'AAAAAAAAAHKDAAAA','Decisions play actually exclusive activities. Well assistant e','Books','computers',8.77,1619.66,0.85
'AAAAAAAAAKGDAAAA','Tonnes could use slowly off a servants. Initial letters must walk now companies; rapid, previous towns put here large, prime needs. Historical, negative grou','Books','computers',0.19,3319.10,1.75
'AAAAAAAAAOBCAAAA','Years should try in line with a conditions. Pp. spend well evenings. Other, afraid sides speculate at a years. Options ought to know leading, app','Books','computers',5.23,8468.08,4.47
'AAAAAAAABHEEAAAA','Subjects may remain officials. Forward, straight objects used to see wh','Books','computers',6.97,13658.40,7.22
'AAAAAAAABLMBAAAA','External improvements effect so tough words. Great roads cause quickly popular, black stories. Clearly white members might ask enough details. Min','Books','computers',31.74,4154.04,2.19
'AAAAAAAACHOCAAAA','Final governm','Books','computers',6.22,5102.98,2.69
'AAAAAAAACOHDAAAA','Left, important sports shall get on an specialists. Overall, e','Books','computers',3.56,14321.37,7.57
'AAAAAAAAEANCAAAA','Ye','Books','computers',9.75,1367.76,0.72
'AAAAAAAAEAPAAAAA','Just distinct children think individuals; popular arguments develop here cautious methods; appropriate children might beat. Proper, empirical hundreds fall oth','Books','computers',4.01,328.50,0.17
'AAAAAAAAEDMAAAAA','Books understand. Principles produce just at a premises. Years ','Books','computers',44.48,188.86,0.09
'AAAAAAAAFEEAAAAA','Capital, united feelings paint only things. Greatly financial economies should not pay somewhere soviet necessary armies; educational concepts mus','Books','computers',3.83,812.19,0.42
'AAAAAAAAFLFEAAAA','Social weeks may hope. However parental objects shall get just potential logical stations. Agreements attend on a arms; circa real reforms may interpret dogs. T','Books','computers',2.06,449.61,0.23
'AAAAAAAAGENAAAAA','Genera','Books','computers',2.84,950.58,0.50
'AAAAAAAAGHCBAAAA','Hundreds would meet regardless german, foreign scien','Books','computers',9.77,1969.60,1.04
'AAAAAAAAGNGBAAAA','Brilliant, massive prisons take still national others. Only northern guidelines go right by the lips. General, spiritual walls shall reach in a languages. British nations eat substantial polici','Books','computers',3.42,377.26,0.19
'AAAAAAAAHPADAAAA','Used, young sizes take requirements. Electoral, standard stones worry still private scenes. Major, still bedrooms say all once effective years. Long new moments will own after the','Books','computers',9.19,690.90,0.36
'AAAAAAAAIAMAAAAA','Alone walls mus','Books','computers',2.00,4530.16,2.39
'AAAAAAAAIGCEAAAA','Concerned numbers can attempt now particular, white friends; un','Books','computers',3.38,14627.99,7.73
---- TYPES
STRING, STRING, STRING, STRING, DECIMAL, DECIMAL, DECIMAL
====

View File

@@ -0,0 +1,133 @@
====
---- QUERY: TPCDS-Q21
select *
from(select w_warehouse_name
,i_item_id
,sum(case when (cast(d_date as timestamp) < cast ('2000-03-11' as timestamp))
then inv_quantity_on_hand
else 0 end) as inv_before
,sum(case when (cast(d_date as timestamp) >= cast ('2000-03-11' as timestamp))
then inv_quantity_on_hand
else 0 end) as inv_after
from inventory
,warehouse
,item
,date_dim
where i_current_price between 0.99 and 1.49
and i_item_sk = inv_item_sk
and inv_warehouse_sk = w_warehouse_sk
and inv_date_sk = d_date_sk
and cast(d_date as timestamp) between (cast ('2000-03-11' as timestamp) - interval 30 days)
and (cast ('2000-03-11' as timestamp) + interval 30 days)
group by w_warehouse_name, i_item_id) x
where (case when inv_before > 0
then inv_after / inv_before
else null
end) between 2.0/3.0 and 3.0/2.0
order by w_warehouse_name
,i_item_id
limit 100;
---- RESULTS
'Bad cards must make.','AAAAAAAAAACDAAAA',1889,2168
'Bad cards must make.','AAAAAAAAAAHDAAAA',2739,2039
'Bad cards must make.','AAAAAAAAABDAAAAA',1717,1782
'Bad cards must make.','AAAAAAAAACGCAAAA',2296,2276
'Bad cards must make.','AAAAAAAAACKCAAAA',2443,1878
'Bad cards must make.','AAAAAAAAACOBAAAA',2705,2428
'Bad cards must make.','AAAAAAAAADGBAAAA',2242,2759
'Bad cards must make.','AAAAAAAAADKBAAAA',2138,2456
'Bad cards must make.','AAAAAAAAAEADAAAA',2914,2237
'Bad cards must make.','AAAAAAAAAEOCAAAA',1797,2073
'Bad cards must make.','AAAAAAAAAFACAAAA',2058,2734
'Bad cards must make.','AAAAAAAAAFADAAAA',2173,2515
'Bad cards must make.','AAAAAAAAAFDCAAAA',2309,2277
'Bad cards must make.','AAAAAAAAAGIDAAAA',1864,2197
'Bad cards must make.','AAAAAAAAAHDEAAAA',2483,2077
'Bad cards must make.','AAAAAAAAAHJBAAAA',2904,3312
'Bad cards must make.','AAAAAAAAAIECAAAA',2239,2526
'Bad cards must make.','AAAAAAAAAIMCAAAA',1948,2693
'Bad cards must make.','AAAAAAAAAJKBAAAA',2184,2190
'Bad cards must make.','AAAAAAAAALECAAAA',2539,3052
'Bad cards must make.','AAAAAAAAALNBAAAA',1406,1728
'Bad cards must make.','AAAAAAAAAMPBAAAA',3450,3033
'Bad cards must make.','AAAAAAAAANFEAAAA',2255,1517
'Bad cards must make.','AAAAAAAAAPLAAAAA',1465,1227
'Bad cards must make.','AAAAAAAABBIDAAAA',2822,2125
'Bad cards must make.','AAAAAAAABDCEAAAA',2068,2187
'Bad cards must make.','AAAAAAAABEFDAAAA',1023,1510
'Bad cards must make.','AAAAAAAABFNAAAAA',1962,2719
'Bad cards must make.','AAAAAAAABFOCAAAA',2392,2520
'Bad cards must make.','AAAAAAAABHPCAAAA',2945,3058
'Bad cards must make.','AAAAAAAABIDBAAAA',1746,1706
'Bad cards must make.','AAAAAAAABJFEAAAA',2458,2647
'Bad cards must make.','AAAAAAAABKFAAAAA',3152,2529
'Bad cards must make.','AAAAAAAABLDEAAAA',2439,2899
'Bad cards must make.','AAAAAAAABNHBAAAA',2254,2117
'Bad cards must make.','AAAAAAAABNLAAAAA',2552,2608
'Bad cards must make.','AAAAAAAABNLDAAAA',3103,2489
'Bad cards must make.','AAAAAAAABNMCAAAA',1752,2078
'Bad cards must make.','AAAAAAAABOCCAAAA',1697,1547
'Bad cards must make.','AAAAAAAACAAAAAAA',2736,1937
'Bad cards must make.','AAAAAAAACAJCAAAA',1921,1806
'Bad cards must make.','AAAAAAAACBFAAAAA',1237,1460
'Bad cards must make.','AAAAAAAACBIAAAAA',2157,1915
'Bad cards must make.','AAAAAAAACBPBAAAA',3220,2970
'Bad cards must make.','AAAAAAAACCABAAAA',1167,1704
'Bad cards must make.','AAAAAAAACCMDAAAA',2057,2563
'Bad cards must make.','AAAAAAAACDBCAAAA',2017,1494
'Bad cards must make.','AAAAAAAACGFDAAAA',2811,3027
'Bad cards must make.','AAAAAAAACHHDAAAA',2589,1935
'Bad cards must make.','AAAAAAAACJDCAAAA',1299,1807
'Bad cards must make.','AAAAAAAACKHAAAAA',1484,2158
'Bad cards must make.','AAAAAAAACLKAAAAA',2743,2910
'Bad cards must make.','AAAAAAAACMJAAAAA',1345,1776
'Bad cards must make.','AAAAAAAACMLAAAAA',1869,2372
'Bad cards must make.','AAAAAAAACMPDAAAA',1480,2177
'Bad cards must make.','AAAAAAAACNBBAAAA',2914,2373
'Bad cards must make.','AAAAAAAACNEBAAAA',2170,2456
'Bad cards must make.','AAAAAAAACNFAAAAA',2854,2071
'Bad cards must make.','AAAAAAAACNGBAAAA',1830,2659
'Bad cards must make.','AAAAAAAACNHDAAAA',1507,1643
'Bad cards must make.','AAAAAAAACNPCAAAA',2756,2402
'Bad cards must make.','AAAAAAAADCBEAAAA',2403,2684
'Bad cards must make.','AAAAAAAADCPCAAAA',2112,1881
'Bad cards must make.','AAAAAAAADDNDAAAA',3404,2652
'Bad cards must make.','AAAAAAAADEJDAAAA',1719,1822
'Bad cards must make.','AAAAAAAADFLAAAAA',3242,2344
'Bad cards must make.','AAAAAAAADGCCAAAA',2435,2159
'Bad cards must make.','AAAAAAAADGFCAAAA',2350,1867
'Bad cards must make.','AAAAAAAADGGBAAAA',2686,3567
'Bad cards must make.','AAAAAAAADGKAAAAA',2927,2595
'Bad cards must make.','AAAAAAAADHPAAAAA',2639,2216
'Bad cards must make.','AAAAAAAADKPDAAAA',2476,3512
'Bad cards must make.','AAAAAAAADMBAAAAA',2472,2301
'Bad cards must make.','AAAAAAAADNLBAAAA',2792,2077
'Bad cards must make.','AAAAAAAADPABAAAA',1719,1667
'Bad cards must make.','AAAAAAAAEAICAAAA',1420,2094
'Bad cards must make.','AAAAAAAAEAPAAAAA',1875,2244
'Bad cards must make.','AAAAAAAAEBCEAAAA',2241,1924
'Bad cards must make.','AAAAAAAAEBPCAAAA',2544,2281
'Bad cards must make.','AAAAAAAAECGCAAAA',2039,1848
'Bad cards must make.','AAAAAAAAEDOCAAAA',2401,1770
'Bad cards must make.','AAAAAAAAEDPDAAAA',3041,2119
'Bad cards must make.','AAAAAAAAEGGBAAAA',2717,2032
'Bad cards must make.','AAAAAAAAEGJAAAAA',2996,2092
'Bad cards must make.','AAAAAAAAEGMAAAAA',3051,2982
'Bad cards must make.','AAAAAAAAEGOCAAAA',2086,1958
'Bad cards must make.','AAAAAAAAEHECAAAA',1993,1498
'Bad cards must make.','AAAAAAAAEHFDAAAA',2217,2151
'Bad cards must make.','AAAAAAAAEHLBAAAA',1417,2034
'Bad cards must make.','AAAAAAAAEIDEAAAA',1804,1474
'Bad cards must make.','AAAAAAAAEJAEAAAA',2287,2006
'Bad cards must make.','AAAAAAAAEJJDAAAA',2080,1660
'Bad cards must make.','AAAAAAAAEJPDAAAA',1788,2188
'Bad cards must make.','AAAAAAAAEKCAAAAA',2451,2182
'Bad cards must make.','AAAAAAAAENFBAAAA',2123,2294
'Bad cards must make.','AAAAAAAAEONAAAAA',2706,1887
'Bad cards must make.','AAAAAAAAEPHCAAAA',1332,1209
'Bad cards must make.','AAAAAAAAEPKCAAAA',2445,1824
'Bad cards must make.','AAAAAAAAFAKBAAAA',843,1256
'Bad cards must make.','AAAAAAAAFALDAAAA',2391,2019
---- TYPES
STRING, STRING, BIGINT, BIGINT
====

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@@ -0,0 +1,148 @@
====
---- QUERY: TPCDS-Q22A
-- RESULT MISMATCH FROM ORIGINAL in LSD of AVG() values
-- FIXED, HAND_ROUNDED AVG() VALUES IN RESULT SET
set decimal_v2=1;
with results as
(select i_product_name
,i_brand
,i_class
,i_category
,inv_quantity_on_hand qoh
from inventory
,date_dim
,item
,warehouse
where inv_date_sk=d_date_sk
and inv_item_sk=i_item_sk
and inv_warehouse_sk = w_warehouse_sk
and d_month_seq between 1200 and 1200 + 11
-- group by i_product_name,i_brand,i_class,i_category
),
results_rollup as
(select i_product_name, i_brand, i_class, i_category,avg(qoh) qoh
from results
group by i_product_name,i_brand,i_class,i_category
union all
select i_product_name, i_brand, i_class, null i_category,avg(qoh) qoh
from results
group by i_product_name,i_brand,i_class
union all
select i_product_name, i_brand, null i_class, null i_category,avg(qoh) qoh
from results
group by i_product_name,i_brand
union all
select i_product_name, null i_brand, null i_class, null i_category,avg(qoh) qoh
from results
group by i_product_name
union all
select null i_product_name, null i_brand, null i_class, null i_category,avg(qoh) qoh
from results)
select i_product_name, i_brand, i_class, i_category, cast(qoh as decimal(12, 2))
from results_rollup
order by qoh, i_product_name, i_brand, i_class, i_category
limit 100;
---- RESULTS
'ationbarn station','amalgbrand #8','bathroom','Home',430.36
'ationbarn station','amalgbrand #8','bathroom','NULL',430.36
'ationbarn station','amalgbrand #8','NULL','NULL',430.36
'ationbarn station','NULL','NULL','NULL',430.36
'ationoughtn stn st','edu packimporto #2','sports-apparel','Men',435.27
'ationoughtn stn st','edu packimporto #2','sports-apparel','NULL',435.27
'ationoughtn stn st','edu packimporto #2','NULL','NULL',435.27
'ationoughtn stn st','NULL','NULL','NULL',435.27
'ationationprin st','amalgexporti #2','newborn','Children',435.51
'ationationprin st','amalgexporti #2','newborn','NULL',435.51
'ationationprin st','amalgexporti #2','NULL','NULL',435.51
'ationationprin st','NULL','NULL','NULL',435.51
'oughtcallyn stantiought','corpcorp #2','rings','Jewelry',436.49
'oughtcallyn stantiought','corpcorp #2','rings','NULL',436.49
'oughtcallyn stantiought','corpcorp #2','NULL','NULL',436.49
'oughtcallyn stantiought','NULL','NULL','NULL',436.49
'callyesebaration','namelesscorp #7','mens watch','Jewelry',437.39
'callyesebaration','namelesscorp #7','mens watch','NULL',437.39
'callyesebaration','namelesscorp #7','NULL','NULL',437.39
'callyesebaration','NULL','NULL','NULL',437.39
'n stprieingationought','namelesscorp #8','mens watch','Jewelry',439.06
'n stprieingationought','namelesscorp #8','mens watch','NULL',439.06
'n stprieingationought','namelesscorp #8','NULL','NULL',439.06
'n stprieingationought','NULL','NULL','NULL',439.06
'priationn stn st','importoscholar #2','country','Music',439.10
'priationn stn st','importoscholar #2','country','NULL',439.10
'priationn stn st','importoscholar #2','NULL','NULL',439.10
'priationn stn st','NULL','NULL','NULL',439.10
'n stcallyableoughtought','amalgimporto #2','accessories','Men',439.72
'n stcallyableoughtought','amalgimporto #2','accessories','NULL',439.72
'n stcallyableoughtought','amalgimporto #2','NULL','NULL',439.72
'n stcallyableoughtought','NULL','NULL','NULL',439.72
'n stbarought','corpbrand #10','rugs','Home',440.31
'n stbarought','corpbrand #10','rugs','NULL',440.31
'n stbarought','corpbrand #10','NULL','NULL',440.31
'n stbarought','NULL','NULL','NULL',440.31
'n stn stantioughtought','exportimaxi #8','computers','Books',440.93
'n stn stantioughtought','exportimaxi #8','computers','NULL',440.93
'n stn stantioughtought','exportimaxi #8','NULL','NULL',440.93
'n stn stantioughtought','NULL','NULL','NULL',440.93
'n stcallyesepriought','edu packscholar #2','classical','Music',441.54
'n stcallyesepriought','edu packscholar #2','classical','NULL',441.54
'n stcallyesepriought','edu packscholar #2','NULL','NULL',441.54
'n stcallyesepriought','NULL','NULL','NULL',441.54
'priantiationation','importoimporto #2','shirts','Men',441.67
'priantiationation','importoimporto #2','shirts','NULL',441.67
'priantiationation','importoimporto #2','NULL','NULL',441.67
'priantiationation','NULL','NULL','NULL',441.67
'oughtbarantiese','exportiedu pack #2','kids','Shoes',441.75
'oughtbarantiese','exportiedu pack #2','kids','NULL',441.75
'oughtbarantiese','exportiedu pack #2','NULL','NULL',441.75
'oughtbarantiese','NULL','NULL','NULL',441.75
'oughtbarprin st','edu packscholar #2','classical','Music',442.07
'oughtbarprin st','edu packscholar #2','classical','NULL',442.07
'oughtbarprin st','edu packscholar #2','NULL','NULL',442.07
'oughtbarprin st','NULL','NULL','NULL',442.07
'ationeingation','amalgexporti #2','newborn','Children',443.78
'ationeingation','amalgexporti #2','newborn','NULL',443.78
'ationeingation','amalgexporti #2','NULL','NULL',443.78
'ationeingation','NULL','NULL','NULL',443.78
'ationbarn stableought','corpbrand #8','rugs','Home',444.09
'ationbarn stableought','corpbrand #8','rugs','NULL',444.09
'ationbarn stableought','corpbrand #8','NULL','NULL',444.09
'ationbarn stableought','NULL','NULL','NULL',444.09
'eseationcallyableought','importoexporti #1','infants','Children',444.54
'eseationcallyableought','importoexporti #1','infants','NULL',444.54
'eseationcallyableought','importoexporti #1','NULL','NULL',444.54
'eseationcallyableought','NULL','NULL','NULL',444.54
'eingableableationought','amalgimporto #1','accessories','Men',444.71
'eingableableationought','amalgimporto #1','accessories','NULL',444.71
'eingableableationought','amalgimporto #1','NULL','NULL',444.71
'eingableableationought','NULL','NULL','NULL',444.71
'n steseantiation','univmaxi #10','pools','Sports',445.33
'n steseantiation','univmaxi #10','pools','NULL',445.33
'n steseantiation','univmaxi #10','NULL','NULL',445.33
'n steseantiation','NULL','NULL','NULL',445.33
'antibareingantiought','importoimporto #2','shirts','Men',445.41
'antibareingantiought','importoimporto #2','shirts','NULL',445.41
'antibareingantiought','importoimporto #2','NULL','NULL',445.41
'antibareingantiought','NULL','NULL','NULL',445.41
'ationantibarationought','univmaxi #8','pools','Sports',445.42
'ationantibarationought','univmaxi #8','pools','NULL',445.42
'ationantibarationought','univmaxi #8','NULL','NULL',445.42
'ationantibarationought','NULL','NULL','NULL',445.42
'oughtpricallybarought','edu packexporti #2','school-uniforms','Children',445.49
'oughtpricallybarought','edu packexporti #2','school-uniforms','NULL',445.49
'oughtpricallybarought','edu packexporti #2','NULL','NULL',445.49
'oughtpricallybarought','NULL','NULL','NULL',445.49
'ableationprieing','amalgamalg #1','dresses','Women',446.00
'ableationprieing','amalgamalg #1','dresses','NULL',446.00
'ableationprieing','amalgamalg #1','NULL','NULL',446.00
'ableationprieing','NULL','NULL','NULL',446.00
'pribarpribarought','edu packimporto #2','sports-apparel','Men',446.04
'pribarpribarought','edu packimporto #2','sports-apparel','NULL',446.04
'pribarpribarought','edu packimporto #2','NULL','NULL',446.04
'pribarpribarought','NULL','NULL','NULL',446.04
'oughtn stprin st','exportiamalgamalg #8','stereo','Electronics',447.27
'oughtn stprin st','exportiamalgamalg #8','stereo','NULL',447.27
'oughtn stprin st','exportiamalgamalg #8','NULL','NULL',447.27
'oughtn stprin st','NULL','NULL','NULL',447.27
---- TYPES
STRING, STRING, STRING, STRING, DECIMAL
====

View File

@@ -1,60 +0,0 @@
====
---- QUERY: TPCDS-Q23
with frequent_ss_items as
(select substr(i_item_desc,1,30) itemdesc,
i_item_sk item_sk,
d_date solddate,
count(*) cnt
from store_sales,
date_dim,
item
where ss_sold_date_sk = d_date_sk
and ss_item_sk = i_item_sk
and d_year in (2000,2000+1,2000+2,2000+3)
group by substr(i_item_desc,1,30),i_item_sk,d_date
having count(*) > 4),
max_store_sales as
(select max(csales) tpcds_cmax
from (select c_customer_sk,
sum(ss_quantity*ss_sales_price) csales
from store_sales,
customer,
date_dim
where ss_customer_sk = c_customer_sk
and ss_sold_date_sk = d_date_sk
and d_year in (2000,2000+1,2000+2,2000+3)
group by c_customer_sk) x),
best_ss_customer as
(select t1.* from
(select c_customer_sk,
sum(ss_quantity*ss_sales_price) ssales
from store_sales,
customer
where ss_customer_sk = c_customer_sk
group by c_customer_sk) t1,
(select tpcds_cmax * (50/100.0) as c1 from max_store_sales) t2
where t1.ssales > t2.c1)
select sum(sales)
from (select cs_quantity*cs_list_price sales
from catalog_sales,
date_dim
where d_year = 2000
and d_moy = 2
and cs_sold_date_sk = d_date_sk
and cs_item_sk in (select item_sk from frequent_ss_items)
and cs_bill_customer_sk in (select c_customer_sk from best_ss_customer)
union all
select ws_quantity*ws_list_price sales
from web_sales,
date_dim
where d_year = 2000
and d_moy = 2
and ws_sold_date_sk = d_date_sk
and ws_item_sk in (select item_sk from frequent_ss_items)
and ws_bill_customer_sk in (select c_customer_sk from best_ss_customer)) x
limit 100;
---- RESULTS
17030.91
---- TYPES
DECIMAL
====

View File

@@ -1,70 +0,0 @@
====
---- QUERY: TPCDS-Q23
with frequent_ss_items as
(select substr(i_item_desc,1,30) itemdesc,
i_item_sk item_sk,
d_date solddate,
count(*) cnt
from store_sales,
date_dim,
item
where ss_sold_date_sk = d_date_sk
and ss_item_sk = i_item_sk
and d_year in (2000,2000 + 1,2000 + 2,2000 + 3)
group by substr(i_item_desc,1,30),i_item_sk,d_date
having count(*) > 4),
max_store_sales as
(select max(csales) tpcds_cmax
from (select c_customer_sk,sum(ss_quantity*ss_sales_price) csales
from store_sales,
customer,
date_dim
where ss_customer_sk = c_customer_sk
and ss_sold_date_sk = d_date_sk
and d_year in (2000,2000+1,2000+2,2000+3)
group by c_customer_sk) x),
best_ss_customer as
(select t1.* from
(select c_customer_sk,sum(ss_quantity*ss_sales_price) ssales
from store_sales,
customer
where ss_customer_sk = c_customer_sk
group by c_customer_sk) t1,
(select tpcds_cmax * (50/100.0) as c1 from max_store_sales) t2
where t1.ssales > t2.c1)
select c_last_name,c_first_name,sales
from ((select c_last_name,c_first_name,sum(cs_quantity*cs_list_price) sales
from catalog_sales,
customer,
date_dim
where d_year = 2000
and d_moy = 2
and cs_sold_date_sk = d_date_sk
and cs_item_sk in (select distinct item_sk from frequent_ss_items)
and cs_bill_customer_sk in (select distinct c_customer_sk from best_ss_customer)
and cs_bill_customer_sk = c_customer_sk
group by c_last_name,c_first_name)
union all
(select c_last_name,c_first_name,sum(ws_quantity*ws_list_price) sales
from web_sales,
customer,
date_dim
where d_year = 2000
and d_moy = 2
and ws_sold_date_sk = d_date_sk
and ws_item_sk in (select distinct item_sk from frequent_ss_items)
and ws_bill_customer_sk in (select distinct c_customer_sk from best_ss_customer)
and ws_bill_customer_sk = c_customer_sk
group by c_last_name,c_first_name)) y
order by c_last_name,
c_first_name,
sales
limit 100;
---- RESULTS
'Brown','Monika',6031.52
'Collins','Gordon',727.57
'Green','Jesse',9672.96
'NULL','Robert',598.86
---- TYPES
STRING, STRING, DECIMAL
====

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@@ -0,0 +1,52 @@
====
---- QUERY: TPCDS-Q25
select
i_item_id
,i_item_desc
,s_store_id
,s_store_name
,sum(ss_net_profit) as store_sales_profit
,sum(sr_net_loss) as store_returns_loss
,sum(cs_net_profit) as catalog_sales_profit
from
store_sales
,store_returns
,catalog_sales
,date_dim d1
,date_dim d2
,date_dim d3
,store
,item
where
d1.d_moy = 4
and d1.d_year = 2001
and d1.d_date_sk = ss_sold_date_sk
and i_item_sk = ss_item_sk
and s_store_sk = ss_store_sk
and ss_customer_sk = sr_customer_sk
and ss_item_sk = sr_item_sk
and ss_ticket_number = sr_ticket_number
and sr_returned_date_sk = d2.d_date_sk
and d2.d_moy between 4 and 10
and d2.d_year = 2001
and sr_customer_sk = cs_bill_customer_sk
and sr_item_sk = cs_item_sk
and cs_sold_date_sk = d3.d_date_sk
and d3.d_moy between 4 and 10
and d3.d_year = 2001
group by
i_item_id
,i_item_desc
,s_store_id
,s_store_name
order by
i_item_id
,i_item_desc
,s_store_id
,s_store_name
limit 100;
---- RESULTS
'AAAAAAAADPMBAAAA','Things know alone letters. Flights should tend even jewish fees. Civil plans could not cry also social days; other losses might not pay walls; still able signs should not remove too human ','AAAAAAAAHAAAAAAA','ation',12.84,91.41,-1329.46
---- TYPES
STRING, STRING, STRING, STRING, DECIMAL, DECIMAL, DECIMAL
====

View File

@@ -1,139 +0,0 @@
====
---- QUERY: TPCDS-Q27
# TODO: Fix this query up when rollup is implemented
select
i_item_id,
s_state,
-- grouping(s_state) g_state,
avg(ss_quantity) agg1,
avg(ss_list_price) agg2,
avg(ss_coupon_amt) agg3,
avg(ss_sales_price) agg4
from
store_sales,
customer_demographics,
date_dim,
store,
item
where
ss_sold_date_sk = d_date_sk
and ss_item_sk = i_item_sk
and ss_store_sk = s_store_sk
and ss_cdemo_sk = cd_demo_sk
and cd_gender = 'M'
and cd_marital_status = 'S'
and cd_education_status = 'College'
and d_year = 2002
and s_state in ('TN','TN', 'TN', 'TN', 'TN', 'TN')
group by
-- rollup (i_item_id, s_state),
i_item_id,
s_state
order by
i_item_id,
s_state
limit 100;
---- RESULTS
'AAAAAAAAAAABAAAA','TN',46,114.72,0.00,32.12
'AAAAAAAAAAAEAAAA','TN',100,77.97,0.00,57.69
'AAAAAAAAAABAAAAA','TN',6,48.89,13.61,2.44
'AAAAAAAAAACAAAAA','TN',62,32.21,0.00,5.50
'AAAAAAAAAACDAAAA','TN',97,161.78,0.00,55.00
'AAAAAAAAAADBAAAA','TN',28,136.01,575.76,73.44
'AAAAAAAAAADCAAAA','TN',64,116.14,0.00,108.01
'AAAAAAAAAAEBAAAA','TN',9,5.43,0.00,5.21
'AAAAAAAAAAEDAAAA','TN',45.5,87.63,0.00,51.84
'AAAAAAAAAAGBAAAA','TN',29,101.94,0.00,100.92
'AAAAAAAAAAGCAAAA','TN',97,65.27,0.00,21.53
'AAAAAAAAAAGEAAAA','TN',55,73.87,0.00,71.00
'AAAAAAAAAAHAAAAA','TN',20,134.30,0.00,119.52
'AAAAAAAAAAHBAAAA','TN',97,7.40,0.00,6.73
'AAAAAAAAAAHDAAAA','TN',69,5.62,0.00,0.33
'AAAAAAAAAAIAAAAA','TN',87,106.98,0.00,27.81
'AAAAAAAAAAKBAAAA','TN',84.5,66.17,847.83,57.38
'AAAAAAAAAALAAAAA','TN',6,32.28,0.00,7.42
'AAAAAAAAAALCAAAA','TN',98,34.31,55.30,1.71
'AAAAAAAAAALDAAAA','TN',59,129.47,713.90,22.00
'AAAAAAAAAANAAAAA','TN',74,60.87,0.00,13.20
'AAAAAAAAAANBAAAA','TN',96,130.79,1864.51,129.48
'AAAAAAAAAAOAAAAA','TN',85,130.34,0.00,122.51
'AAAAAAAAAAOCAAAA','TN',14,64.57,0.00,33.97
'AAAAAAAAAAODAAAA','TN',84,30.50,0.00,28.97
'AAAAAAAAAAPBAAAA','TN',45,118.89,2380.59,84.71
'AAAAAAAAABAAAAAA','TN',97,124.75,0.00,74.85
'AAAAAAAAABABAAAA','TN',31,29.98,17.09,27.58
'AAAAAAAAABAEAAAA','TN',34,17.21,0.00,13.42
'AAAAAAAAABCBAAAA','TN',38,131.37,0.00,52.32
'AAAAAAAAABDAAAAA','TN',31.5,68.34,0.00,63.27
'AAAAAAAAABDBAAAA','TN',56,103.85,1624.17,59.19
'AAAAAAAAABDDAAAA','TN',67.33333333333333,119.42,23.18,38.72
'AAAAAAAAABDEAAAA','TN',61,85.95,2282.36,44.60
'AAAAAAAAABEDAAAA','TN',61,85.14,0.00,50.23
'AAAAAAAAABFBAAAA','TN',31,23.55,0.00,13.65
'AAAAAAAAABFCAAAA','TN',83,15.50,0.00,0.00
'AAAAAAAAABGAAAAA','TN',64,35.08,0.00,3.15
'AAAAAAAAABGBAAAA','TN',40,25.07,0.00,16.04
'AAAAAAAAABGEAAAA','TN',39.5,56.76,14.25,36.00
'AAAAAAAAABHAAAAA','TN',93,74.80,0.00,21.69
'AAAAAAAAABHCAAAA','TN',31.5,79.83,181.38,61.93
'AAAAAAAAABIBAAAA','TN',48,170.89,0.00,140.12
'AAAAAAAAABJAAAAA','TN',46.5,82.32,0.00,44.98
'AAAAAAAAABJBAAAA','TN',76,12.40,0.00,3.96
'AAAAAAAAABJDAAAA','TN',34,118.50,0.00,61.20
'AAAAAAAAABKAAAAA','TN',65,8.77,0.00,5.18
'AAAAAAAAABKCAAAA','TN',26,51.57,0.00,41.25
'AAAAAAAAABLBAAAA','TN',61.5,149.12,0.00,82.54
'AAAAAAAAABMAAAAA','TN',14,109.97,0.00,10.99
'AAAAAAAAABMDAAAA','TN',97,104.87,0.00,34.60
'AAAAAAAAABNAAAAA','TN',13.5,17.39,0.00,2.02
'AAAAAAAAABOBAAAA','TN',66,112.86,0.00,24.82
'AAAAAAAAABPAAAAA','TN',19,67.33,268.60,16.83
'AAAAAAAAABPDAAAA','TN',37,41.16,0.00,20.22
'AAAAAAAAACACAAAA','TN',53,132.50,0.00,15.90
'AAAAAAAAACADAAAA','TN',73,76.59,782.56,21.44
'AAAAAAAAACBBAAAA','TN',82,75.22,277.55,10.24
'AAAAAAAAACBCAAAA','TN',53,35.46,0.00,21.98
'AAAAAAAAACBEAAAA','TN',49,113.20,1902.14,75.14
'AAAAAAAAACCAAAAA','TN',60,111.87,0.00,74.95
'AAAAAAAAACCEAAAA','TN',89,73.99,0.00,4.43
'AAAAAAAAACDAAAAA','TN',35,86.57,0.00,22.63
'AAAAAAAAACDCAAAA','TN',30,68.03,0.00,55.59
'AAAAAAAAACDDAAAA','TN',67.66666666666667,21.32,0.00,7.83
'AAAAAAAAACEBAAAA','TN',69.5,81.94,0.00,29.79
'AAAAAAAAACECAAAA','TN',89,47.10,0.00,20.72
'AAAAAAAAACFBAAAA','TN',70,14.60,0.00,8.46
'AAAAAAAAACFDAAAA','TN',53,106.16,0.00,91.29
'AAAAAAAAACFEAAAA','TN',40.33333333333334,103.41,0.00,18.00
'AAAAAAAAACGAAAAA','TN',41,10.00,0.00,6.70
'AAAAAAAAACGDAAAA','TN',4,6.32,0.00,3.72
'AAAAAAAAACHBAAAA','TN',51,67.85,1521.28,54.99
'AAAAAAAAACHCAAAA','TN',4,101.18,0.00,97.13
'AAAAAAAAACKBAAAA','TN',96,123.44,0.00,122.20
'AAAAAAAAACKCAAAA','TN',44,48.71,0.00,23.86
'AAAAAAAAACLDAAAA','TN',50,130.80,0.00,13.08
'AAAAAAAAACMDAAAA','TN',33,91.53,0.00,71.39
'AAAAAAAAACNCAAAA','TN',27,69.84,0.00,27.93
'AAAAAAAAACODAAAA','TN',54,57.73,0.00,7.78
'AAAAAAAAACPAAAAA','TN',36,103.03,0.00,97.87
'AAAAAAAAADABAAAA','TN',20,194.76,0.00,5.84
'AAAAAAAAADAEAAAA','TN',53,65.66,0.00,53.84
'AAAAAAAAADBAAAAA','TN',48,87.49,0.00,74.79
'AAAAAAAAADBBAAAA','TN',88,48.86,0.00,9.77
'AAAAAAAAADBDAAAA','TN',41,27.62,380.27,13.25
'AAAAAAAAADBEAAAA','TN',33.5,112.42,0.00,55.36
'AAAAAAAAADCAAAAA','TN',59,5.43,0.00,4.88
'AAAAAAAAADDBAAAA','TN',25,149.67,0.00,125.72
'AAAAAAAAADDEAAAA','TN',54,11.80,0.00,8.26
'AAAAAAAAADEAAAAA','TN',23,132.68,0.00,30.51
'AAAAAAAAADEDAAAA','TN',99,48.89,0.00,48.89
'AAAAAAAAADFAAAAA','TN',67.5,45.22,0.00,19.09
'AAAAAAAAADFCAAAA','TN',77,101.79,0.00,39.69
'AAAAAAAAADFDAAAA','TN',94,79.82,414.86,63.05
'AAAAAAAAADGCAAAA','TN',19,14.27,0.00,5.56
'AAAAAAAAADGEAAAA','TN',75.66666666666667,123.31,413.13,51.38
'AAAAAAAAADHBAAAA','TN',15,179.13,496.44,39.40
'AAAAAAAAADHDAAAA','TN',98,39.30,0.00,33.79
'AAAAAAAAADIAAAAA','TN',27,124.51,0.00,107.07
---- TYPES
STRING, STRING, DOUBLE, DECIMAL, DECIMAL, DECIMAL
====

View File

@@ -1,163 +0,0 @@
====
---- QUERY: TPCDS-Q27a
with results as
(select i_item_id,
s_state,
0 as g_state,
ss_quantity agg1,
ss_list_price agg2,
ss_coupon_amt agg3,
ss_sales_price agg4
from store_sales,
customer_demographics,
date_dim,
store,
item
where ss_sold_date_sk = d_date_sk and
ss_item_sk = i_item_sk and
ss_store_sk = s_store_sk and
ss_cdemo_sk = cd_demo_sk and
cd_gender = 'M' and
cd_marital_status = 'S' and
cd_education_status = 'College' and
d_year = 2002 and
s_state in ('TN','TN', 'TN', 'TN', 'TN', 'TN'))
select i_item_id,
s_state,
g_state,
agg1,
agg2,
agg3,
agg4
from (select i_item_id,
s_state,
0 as g_state,
avg(agg1) agg1,
avg(agg2) agg2,
avg(agg3) agg3,
avg(agg4) agg4 from results
group by i_item_id,
s_state
union all
select i_item_id,
NULL AS s_state,
1 AS g_state,
avg(agg1) agg1,
avg(agg2) agg2,
avg(agg3) agg3,
avg(agg4) agg4 from results
group by i_item_id
union all
select NULL AS i_item_id,
NULL as s_state,
1 as g_state,
avg(agg1) agg1,
avg(agg2) agg2,
avg(agg3) agg3,
avg(agg4) agg4 from results) foo
order by i_item_id, s_state
limit 100;
---- RESULTS
'AAAAAAAAAAABAAAA','TN',0,46,114.72,0.00,32.12
'AAAAAAAAAAABAAAA','NULL',1,46,114.72,0.00,32.12
'AAAAAAAAAAAEAAAA','TN',0,100,77.97,0.00,57.69
'AAAAAAAAAAAEAAAA','NULL',1,100,77.97,0.00,57.69
'AAAAAAAAAABAAAAA','TN',0,6,48.89,13.61,2.44
'AAAAAAAAAABAAAAA','NULL',1,6,48.89,13.61,2.44
'AAAAAAAAAACAAAAA','TN',0,62,32.21,0.00,5.50
'AAAAAAAAAACAAAAA','NULL',1,62,32.21,0.00,5.50
'AAAAAAAAAACDAAAA','TN',0,97,161.78,0.00,55.00
'AAAAAAAAAACDAAAA','NULL',1,97,161.78,0.00,55.00
'AAAAAAAAAADBAAAA','TN',0,28,136.01,575.76,73.44
'AAAAAAAAAADBAAAA','NULL',1,28,136.01,575.76,73.44
'AAAAAAAAAADCAAAA','TN',0,64,116.14,0.00,108.01
'AAAAAAAAAADCAAAA','NULL',1,64,116.14,0.00,108.01
'AAAAAAAAAAEBAAAA','TN',0,9,5.43,0.00,5.21
'AAAAAAAAAAEBAAAA','NULL',1,9,5.43,0.00,5.21
'AAAAAAAAAAEDAAAA','TN',0,45.5,87.63,0.00,51.84
'AAAAAAAAAAEDAAAA','NULL',1,45.5,87.63,0.00,51.84
'AAAAAAAAAAGBAAAA','TN',0,29,101.94,0.00,100.92
'AAAAAAAAAAGBAAAA','NULL',1,29,101.94,0.00,100.92
'AAAAAAAAAAGCAAAA','TN',0,97,65.27,0.00,21.53
'AAAAAAAAAAGCAAAA','NULL',1,97,65.27,0.00,21.53
'AAAAAAAAAAGEAAAA','TN',0,55,73.87,0.00,71.00
'AAAAAAAAAAGEAAAA','NULL',1,55,73.87,0.00,71.00
'AAAAAAAAAAHAAAAA','TN',0,20,134.30,0.00,119.52
'AAAAAAAAAAHAAAAA','NULL',1,20,134.30,0.00,119.52
'AAAAAAAAAAHBAAAA','TN',0,97,7.40,0.00,6.73
'AAAAAAAAAAHBAAAA','NULL',1,97,7.40,0.00,6.73
'AAAAAAAAAAHDAAAA','TN',0,69,5.62,0.00,0.33
'AAAAAAAAAAHDAAAA','NULL',1,69,5.62,0.00,0.33
'AAAAAAAAAAIAAAAA','TN',0,87,106.98,0.00,27.81
'AAAAAAAAAAIAAAAA','NULL',1,87,106.98,0.00,27.81
'AAAAAAAAAAKBAAAA','TN',0,84.5,66.17,847.83,57.38
'AAAAAAAAAAKBAAAA','NULL',1,84.5,66.17,847.83,57.38
'AAAAAAAAAALAAAAA','TN',0,6,32.28,0.00,7.42
'AAAAAAAAAALAAAAA','NULL',1,6,32.28,0.00,7.42
'AAAAAAAAAALCAAAA','TN',0,98,34.31,55.30,1.71
'AAAAAAAAAALCAAAA','NULL',1,98,34.31,55.30,1.71
'AAAAAAAAAALDAAAA','TN',0,59,129.47,713.90,22.00
'AAAAAAAAAALDAAAA','NULL',1,59,129.47,713.90,22.00
'AAAAAAAAAANAAAAA','TN',0,74,60.87,0.00,13.20
'AAAAAAAAAANAAAAA','NULL',1,74,60.87,0.00,13.20
'AAAAAAAAAANBAAAA','TN',0,96,130.79,1864.51,129.48
'AAAAAAAAAANBAAAA','NULL',1,96,130.79,1864.51,129.48
'AAAAAAAAAAOAAAAA','TN',0,85,130.34,0.00,122.51
'AAAAAAAAAAOAAAAA','NULL',1,85,130.34,0.00,122.51
'AAAAAAAAAAOCAAAA','TN',0,14,64.57,0.00,33.97
'AAAAAAAAAAOCAAAA','NULL',1,14,64.57,0.00,33.97
'AAAAAAAAAAODAAAA','TN',0,84,30.50,0.00,28.97
'AAAAAAAAAAODAAAA','NULL',1,84,30.50,0.00,28.97
'AAAAAAAAAAPBAAAA','TN',0,45,118.89,2380.59,84.71
'AAAAAAAAAAPBAAAA','NULL',1,45,118.89,2380.59,84.71
'AAAAAAAAABAAAAAA','TN',0,97,124.75,0.00,74.85
'AAAAAAAAABAAAAAA','NULL',1,97,124.75,0.00,74.85
'AAAAAAAAABABAAAA','TN',0,31,29.98,17.09,27.58
'AAAAAAAAABABAAAA','NULL',1,31,29.98,17.09,27.58
'AAAAAAAAABAEAAAA','TN',0,34,17.21,0.00,13.42
'AAAAAAAAABAEAAAA','NULL',1,34,17.21,0.00,13.42
'AAAAAAAAABCBAAAA','TN',0,38,131.37,0.00,52.32
'AAAAAAAAABCBAAAA','NULL',1,38,131.37,0.00,52.32
'AAAAAAAAABDAAAAA','TN',0,31.5,68.34,0.00,63.27
'AAAAAAAAABDAAAAA','NULL',1,31.5,68.34,0.00,63.27
'AAAAAAAAABDBAAAA','TN',0,56,103.85,1624.17,59.19
'AAAAAAAAABDBAAAA','NULL',1,56,103.85,1624.17,59.19
'AAAAAAAAABDDAAAA','TN',0,67.33333333333333,119.42,23.18,38.72
'AAAAAAAAABDDAAAA','NULL',1,67.33333333333333,119.42,23.18,38.72
'AAAAAAAAABDEAAAA','TN',0,61,85.95,2282.36,44.60
'AAAAAAAAABDEAAAA','NULL',1,61,85.95,2282.36,44.60
'AAAAAAAAABEDAAAA','TN',0,61,85.14,0.00,50.23
'AAAAAAAAABEDAAAA','NULL',1,61,85.14,0.00,50.23
'AAAAAAAAABFBAAAA','TN',0,31,23.55,0.00,13.65
'AAAAAAAAABFBAAAA','NULL',1,31,23.55,0.00,13.65
'AAAAAAAAABFCAAAA','TN',0,83,15.50,0.00,0.00
'AAAAAAAAABFCAAAA','NULL',1,83,15.50,0.00,0.00
'AAAAAAAAABGAAAAA','TN',0,64,35.08,0.00,3.15
'AAAAAAAAABGAAAAA','NULL',1,64,35.08,0.00,3.15
'AAAAAAAAABGBAAAA','TN',0,40,25.07,0.00,16.04
'AAAAAAAAABGBAAAA','NULL',1,40,25.07,0.00,16.04
'AAAAAAAAABGEAAAA','TN',0,39.5,56.76,14.25,36.00
'AAAAAAAAABGEAAAA','NULL',1,39.5,56.76,14.25,36.00
'AAAAAAAAABHAAAAA','TN',0,93,74.80,0.00,21.69
'AAAAAAAAABHAAAAA','NULL',1,93,74.80,0.00,21.69
'AAAAAAAAABHCAAAA','TN',0,31.5,79.83,181.38,61.93
'AAAAAAAAABHCAAAA','NULL',1,31.5,79.83,181.38,61.93
'AAAAAAAAABIBAAAA','TN',0,48,170.89,0.00,140.12
'AAAAAAAAABIBAAAA','NULL',1,48,170.89,0.00,140.12
'AAAAAAAAABJAAAAA','TN',0,46.5,82.32,0.00,44.98
'AAAAAAAAABJAAAAA','NULL',1,46.5,82.32,0.00,44.98
'AAAAAAAAABJBAAAA','TN',0,76,12.40,0.00,3.96
'AAAAAAAAABJBAAAA','NULL',1,76,12.40,0.00,3.96
'AAAAAAAAABJDAAAA','TN',0,34,118.50,0.00,61.20
'AAAAAAAAABJDAAAA','NULL',1,34,118.50,0.00,61.20
'AAAAAAAAABKAAAAA','TN',0,65,8.77,0.00,5.18
'AAAAAAAAABKAAAAA','NULL',1,65,8.77,0.00,5.18
'AAAAAAAAABKCAAAA','TN',0,26,51.57,0.00,41.25
'AAAAAAAAABKCAAAA','NULL',1,26,51.57,0.00,41.25
'AAAAAAAAABLBAAAA','TN',0,61.5,149.12,0.00,82.54
'AAAAAAAAABLBAAAA','NULL',1,61.5,149.12,0.00,82.54
'AAAAAAAAABMAAAAA','TN',0,14,109.97,0.00,10.99
'AAAAAAAAABMAAAAA','NULL',1,14,109.97,0.00,10.99
---- TYPES
STRING,STRING,TINYINT,DOUBLE,DECIMAL,DECIMAL,DECIMAL
====

View File

@@ -1,57 +0,0 @@
====
---- QUERY: TPCDS-Q28
select *
from (select avg(ss_list_price) B1_LP,
count(ss_list_price) B1_CNT,
count(distinct ss_list_price) B1_CNTD
from store_sales
where ss_quantity between 0 and 5
and (ss_list_price between 8 and 8+10
or ss_coupon_amt between 459 and 459+1000
or ss_wholesale_cost between 57 and 57+20)) B1,
(select avg(ss_list_price) B2_LP,
count(ss_list_price) B2_CNT,
count(distinct ss_list_price) B2_CNTD
from store_sales
where ss_quantity between 6 and 10
and (ss_list_price between 90 and 90+10
or ss_coupon_amt between 2323 and 2323+1000
or ss_wholesale_cost between 31 and 31+20)) B2,
(select avg(ss_list_price) B3_LP,
count(ss_list_price) B3_CNT,
count(distinct ss_list_price) B3_CNTD
from store_sales
where ss_quantity between 11 and 15
and (ss_list_price between 142 and 142+10
or ss_coupon_amt between 12214 and 12214+1000
or ss_wholesale_cost between 79 and 79+20)) B3,
(select avg(ss_list_price) B4_LP,
count(ss_list_price) B4_CNT,
count(distinct ss_list_price) B4_CNTD
from store_sales
where ss_quantity between 16 and 20
and (ss_list_price between 135 and 135+10
or ss_coupon_amt between 6071 and 6071+1000
or ss_wholesale_cost between 38 and 38+20)) B4,
(select avg(ss_list_price) B5_LP,
count(ss_list_price) B5_CNT,
count(distinct ss_list_price) B5_CNTD
from store_sales
where ss_quantity between 21 and 25
and (ss_list_price between 122 and 122+10
or ss_coupon_amt between 836 and 836+1000
or ss_wholesale_cost between 17 and 17+20)) B5,
(select avg(ss_list_price) B6_LP,
count(ss_list_price) B6_CNT,
count(distinct ss_list_price) B6_CNTD
from store_sales
where ss_quantity between 26 and 30
and (ss_list_price between 154 and 154+10
or ss_coupon_amt between 7326 and 7326+1000
or ss_wholesale_cost between 7 and 7+20)) B6
limit 100;
---- RESULTS
77.71,36142,9210,69.50,35250,6592,134.01,27875,9741,82.55,31422,7678,61.82,36100,8664,39.27,29776,5210
---- TYPES
DECIMAL,BIGINT,BIGINT,DECIMAL,BIGINT,BIGINT,DECIMAL,BIGINT,BIGINT,DECIMAL,BIGINT,BIGINT,DECIMAL,BIGINT,BIGINT,DECIMAL,BIGINT,BIGINT
====

View File

@@ -0,0 +1,51 @@
====
---- QUERY: TPCDS-Q29
select
i_item_id
,i_item_desc
,s_store_id
,s_store_name
,sum(ss_quantity) as store_sales_quantity
,sum(sr_return_quantity) as store_returns_quantity
,sum(cs_quantity) as catalog_sales_quantity
from
store_sales
,store_returns
,catalog_sales
,date_dim d1
,date_dim d2
,date_dim d3
,store
,item
where
d1.d_moy = 9
and d1.d_year = 1999
and d1.d_date_sk = ss_sold_date_sk
and i_item_sk = ss_item_sk
and s_store_sk = ss_store_sk
and ss_customer_sk = sr_customer_sk
and ss_item_sk = sr_item_sk
and ss_ticket_number = sr_ticket_number
and sr_returned_date_sk = d2.d_date_sk
and d2.d_moy between 9 and 9 + 3
and d2.d_year = 1999
and sr_customer_sk = cs_bill_customer_sk
and sr_item_sk = cs_item_sk
and cs_sold_date_sk = d3.d_date_sk
and d3.d_year in (1999,1999+1,1999+2)
group by
i_item_id
,i_item_desc
,s_store_id
,s_store_name
order by
i_item_id
,i_item_desc
,s_store_id
,s_store_name
limit 100;
---- RESULTS
'AAAAAAAABOKDAAAA','Immediate women sell. Slowly sure measures might ensure in order from a duties. Privately aware damages may compensate so for example previous letters','AAAAAAAABAAAAAAA','ought',99,81,22
---- TYPES
STRING, STRING, STRING, STRING, BIGINT, BIGINT, BIGINT
====

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@@ -0,0 +1,32 @@
====
---- QUERY: TPCDS-Q32
select sum(cs_ext_discount_amt) as "excess discount amount"
from
catalog_sales
,item
,date_dim
where
i_manufact_id = 977
and i_item_sk = cs_item_sk
and cast(d_date as timestamp) between cast('2000-01-27' as timestamp) and
(cast('2000-01-27' as timestamp) + interval 90 days)
and d_date_sk = cs_sold_date_sk
and cs_ext_discount_amt
> (
select
1.3 * avg(cs_ext_discount_amt)
from
catalog_sales
,date_dim
where
cs_item_sk = i_item_sk
and cast(d_date as timestamp) between cast('2000-01-27' as timestamp) and
(cast('2000-01-27' as timestamp) + interval 90 days)
and d_date_sk = cs_sold_date_sk
)
limit 100;
---- RESULTS
28038.14
---- TYPES
DECIMAL
====

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@@ -0,0 +1,178 @@
====
---- QUERY: TPCDS-Q33
with ss as (
select
i_manufact_id,sum(ss_ext_sales_price) total_sales
from
store_sales,
date_dim,
customer_address,
item
where
i_manufact_id in (select
i_manufact_id
from
item
where i_category in ('Electronics'))
and ss_item_sk = i_item_sk
and ss_sold_date_sk = d_date_sk
and d_year = 1998
and d_moy = 5
and ss_addr_sk = ca_address_sk
and ca_gmt_offset = -5
group by i_manufact_id),
cs as (
select
i_manufact_id,sum(cs_ext_sales_price) total_sales
from
catalog_sales,
date_dim,
customer_address,
item
where
i_manufact_id in (select
i_manufact_id
from
item
where i_category in ('Electronics'))
and cs_item_sk = i_item_sk
and cs_sold_date_sk = d_date_sk
and d_year = 1998
and d_moy = 5
and cs_bill_addr_sk = ca_address_sk
and ca_gmt_offset = -5
group by i_manufact_id),
ws as (
select
i_manufact_id,sum(ws_ext_sales_price) total_sales
from
web_sales,
date_dim,
customer_address,
item
where
i_manufact_id in (select
i_manufact_id
from
item
where i_category in ('Electronics'))
and ws_item_sk = i_item_sk
and ws_sold_date_sk = d_date_sk
and d_year = 1998
and d_moy = 5
and ws_bill_addr_sk = ca_address_sk
and ca_gmt_offset = -5
group by i_manufact_id)
select i_manufact_id ,sum(total_sales) total_sales
from (select * from ss
union all
select * from cs
union all
select * from ws) tmp1
group by i_manufact_id
order by total_sales
limit 100;
---- RESULTS
698,214.34
929,539.60
464,641.96
938,858.22
697,959.48
682,1074.64
741,1195.96
812,2069.00
838,2256.80
910,2291.67
899,2355.04
990,2370.68
963,2380.92
832,2684.32
692,2773.42
738,2945.77
564,3210.59
770,3379.72
821,3446.02
797,3485.44
974,3527.17
704,3574.75
853,3850.44
898,3854.56
937,3968.27
737,4284.65
942,4618.19
798,5017.15
849,5099.82
939,5122.92
947,5138.04
774,5138.38
668,5666.30
607,5770.19
358,5955.66
860,5957.46
951,5973.81
472,6060.92
824,6198.72
766,6237.09
783,6341.40
799,6360.64
794,6474.90
529,6476.80
928,6536.81
946,6817.54
795,6859.76
793,6871.33
423,6878.60
811,6887.18
887,6998.14
961,7098.23
806,7143.83
772,7196.00
880,7202.52
709,7247.76
696,7732.80
710,7783.45
784,7894.58
780,7973.56
476,8166.70
839,8299.55
828,8398.05
968,8461.36
966,8715.08
872,8722.84
432,8779.74
842,8879.82
981,8899.15
567,9226.08
773,9431.83
430,9891.62
445,9913.18
678,9976.96
977,10067.34
705,10202.62
402,10322.05
789,10376.28
733,10653.42
936,10760.28
920,10922.38
658,10926.50
1000,10992.09
651,11129.87
965,11158.41
844,11348.42
954,11383.41
655,11632.71
99,11785.13
493,11859.91
723,12068.58
623,12388.39
874,12585.39
810,12598.51
299,12649.43
826,12657.78
870,12927.40
385,12992.19
590,13381.82
718,13768.98
---- TYPES
INT, DECIMAL
====

View File

@@ -0,0 +1,22 @@
====
---- QUERY: TPCDS-Q37
-- start query 1 in stream 0 using template query37.tpl
select i_item_id
,i_item_desc
,i_current_price
from item, inventory, date_dim, catalog_sales
where i_current_price between 68 and 68 + 30
and inv_item_sk = i_item_sk
and d_date_sk=inv_date_sk
and cast(d_date as timestamp) between cast('2000-02-01' as timestamp) and (cast('2000-02-01' as timestamp) + interval 60 days)
and i_manufact_id in (677,940,694,808)
and inv_quantity_on_hand between 100 and 500
and cs_item_sk = i_item_sk
group by i_item_id,i_item_desc,i_current_price
order by i_item_id
limit 100;
---- RESULTS
'AAAAAAAAHFMBAAAA','Jobs crack at all public countries. Possible, traditional initiatives will make british problems. Fiscal years call extremely just growing pupils. Soon dutch voices',86.11
---- TYPES
STRING, STRING, DECIMAL
====

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@@ -0,0 +1,278 @@
====
---- QUERY: TPCDS-Q39.1
-- RESULT MISMATCH FROM ORIGINAL
-- ADD ROUND()s TO 4th, 5th, 9th, 10th COLUMNS, TAKE ACTUAL RESULTS AS EXPECTED.
with inv as
(select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy
,stdev,mean, case mean when 0 then null else stdev/mean end cov
from(select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy
,stddev_samp(inv_quantity_on_hand) stdev,avg(inv_quantity_on_hand) mean
from inventory
,item
,warehouse
,date_dim
where inv_item_sk = i_item_sk
and inv_warehouse_sk = w_warehouse_sk
and inv_date_sk = d_date_sk
and d_year =2001
group by w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy) foo
where case mean when 0 then 0 else stdev/mean end > 1)
select inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy
,round(inv1.mean, 2), round(inv1.cov, 8)
,inv2.w_warehouse_sk,inv2.i_item_sk,inv2.d_moy
,round(inv2.mean, 2), round(inv2.cov, 8)
from inv inv1,inv inv2
where inv1.i_item_sk = inv2.i_item_sk
and inv1.w_warehouse_sk = inv2.w_warehouse_sk
and inv1.d_moy=1
and inv2.d_moy=1+1
order by inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean,inv1.cov
,inv2.d_moy,inv2.mean, inv2.cov
;
---- RESULTS
1,265,1,324.75,1.24383918,1,265,2,329.00,1.01515813
1,363,1,499.50,1.03194157,1,363,2,321.00,1.14117668
1,679,1,373.75,1.09554981,1,679,2,417.50,1.04297099
1,695,1,450.75,1.08358883,1,695,2,368.75,1.13564941
1,789,1,357.25,1.03450938,1,789,2,410.00,1.02842219
1,815,1,216.50,1.17022709,1,815,2,150.50,1.30572815
1,827,1,271.75,1.10468901,1,827,2,424.75,1.16531986
1,1041,1,382.50,1.28480840,1,1041,2,424.75,1.00057727
1,1569,1,212.00,1.63021352,1,1569,2,239.25,1.26415133
1,1623,1,338.25,1.12854833,1,1623,2,261.33,1.27178090
1,2581,1,448.50,1.06042904,1,2581,2,476.25,1.03629847
1,2705,1,246.25,1.01203084,1,2705,2,294.67,1.07421341
1,3131,1,393.75,1.00376140,1,3131,2,480.50,1.06691450
1,3291,1,374.50,1.19518983,1,3291,2,265.25,1.57297211
1,3687,1,279.75,1.42609091,1,3687,2,157.25,1.45343409
1,4955,1,495.25,1.03182962,1,4955,2,322.50,1.16938423
1,5627,1,282.75,1.56570324,1,5627,2,297.50,1.20842868
1,7017,1,175.50,1.04274542,1,7017,2,321.33,1.01833569
1,7317,1,366.33,1.02546640,1,7317,2,378.00,1.21725132
1,7569,1,430.50,1.08743969,1,7569,2,360.25,1.04700556
1,7999,1,166.25,1.79242317,1,7999,2,375.33,1.00809226
1,8319,1,306.75,1.16153780,1,8319,2,276.00,1.14209964
1,8443,1,327.75,1.25671837,1,8443,2,332.50,1.00441673
1,8583,1,319.50,1.02410889,1,8583,2,310.25,1.23588138
1,8591,1,398.00,1.14781687,1,8591,2,355.75,1.00244721
1,8611,1,300.50,1.51915452,1,8611,2,243.75,1.23421228
1,9081,1,367.00,1.08789321,1,9081,2,435.00,1.03305308
1,9357,1,351.67,1.19029226,1,9357,2,427.00,1.04385830
1,9449,1,406.25,1.01831831,1,9449,2,175.00,1.05447798
1,9713,1,242.50,1.10350444,1,9713,2,393.00,1.20847461
1,9809,1,479.00,1.01896025,1,9809,2,317.50,1.06141421
1,9993,1,417.75,1.00998327,1,9993,2,204.50,1.55287075
1,10127,1,239.75,1.05617706,1,10127,2,359.25,1.18579804
1,11159,1,407.25,1.07855072,1,11159,2,250.00,1.33475791
1,11277,1,211.25,1.26158583,1,11277,2,330.75,1.08087680
1,11937,1,344.50,1.08580403,1,11937,2,200.33,1.06385271
1,12373,1,387.75,1.10149048,1,12373,2,306.00,1.07617444
1,12471,1,365.25,1.06075702,1,12471,2,327.25,1.05475606
1,12625,1,279.00,1.30165605,1,12625,2,443.25,1.06049588
1,12751,1,280.75,1.10833058,1,12751,2,369.33,1.34165044
1,12779,1,331.00,1.04169021,1,12779,2,359.00,1.02897806
1,13077,1,367.67,1.34552390,1,13077,2,358.67,1.51324291
1,13191,1,260.25,1.06356963,1,13191,2,405.00,1.01979992
1,13561,1,335.25,1.26096170,1,13561,2,240.00,1.05136045
1,13935,1,311.75,1.03992897,1,13935,2,275.00,1.03675272
1,14687,1,358.00,1.43693569,1,14687,2,187.00,1.54936315
1,14719,1,209.00,1.04115096,1,14719,2,489.00,1.37661688
1,15345,1,148.50,1.52957840,1,15345,2,246.50,1.50879877
1,15427,1,482.75,1.01242389,1,15427,2,333.25,1.27247701
1,15647,1,201.67,1.28579319,1,15647,2,249.25,1.36481730
1,16079,1,280.50,1.24447574,1,16079,2,361.25,1.07378057
1,16223,1,245.67,1.06011490,1,16223,2,412.67,1.06712311
1,16289,1,171.00,1.08726331,1,16289,2,316.50,1.36953067
1,16451,1,300.00,1.25165076,1,16451,2,467.50,1.29623639
1,17051,1,349.75,1.13464238,1,17051,2,319.75,1.03793549
2,71,1,221.50,1.56397411,2,71,2,309.00,1.49170579
2,833,1,363.33,1.04228138,2,833,2,158.75,1.21308917
2,969,1,282.00,1.13743403,2,969,2,386.00,1.13710012
2,1401,1,249.00,1.32062377,2,1401,2,296.67,1.28681219
2,1681,1,337.75,1.05215660,2,1681,2,252.75,1.03179107
2,1991,1,356.00,1.13367900,2,1991,2,273.25,1.33241964
2,2031,1,407.50,1.02098768,2,2031,2,418.75,1.00533886
2,2481,1,319.75,1.11602666,2,2481,2,378.33,1.05971853
2,2725,1,349.75,1.11487049,2,2725,2,265.67,1.54629721
2,3073,1,385.00,1.10208458,2,3073,2,231.75,1.08849891
2,3769,1,334.00,1.19542966,2,3769,2,335.00,1.04946496
2,4085,1,327.75,1.10054139,2,4085,2,281.75,1.01876081
2,4995,1,282.25,1.26041833,2,4995,2,248.00,1.25482290
2,5099,1,418.67,1.06809009,2,5099,2,428.67,1.03523728
2,5211,1,157.00,1.06955174,2,5211,2,270.25,1.19402008
2,5769,1,341.25,1.27231327,2,5769,2,267.00,1.18157918
2,6103,1,194.33,1.51606702,2,6103,2,158.50,1.27436986
2,6243,1,168.50,1.07321081,2,6243,2,386.75,1.08329026
2,6489,1,268.00,1.69563724,2,6489,2,389.00,1.41057805
2,6585,1,183.75,1.11519376,2,6585,2,353.75,1.09397071
2,6767,1,341.00,1.09316398,2,6767,2,235.00,1.13995439
2,7411,1,460.00,1.06282933,2,7411,2,297.50,1.00057654
2,8489,1,126.75,1.34164630,2,8489,2,398.25,1.00411248
2,8633,1,218.50,1.46451897,2,8633,2,230.25,1.31169630
2,8807,1,417.25,1.02581129,2,8807,2,356.25,1.10797306
2,8883,1,249.25,1.11122718,2,8883,2,189.25,1.01007549
2,9253,1,413.33,1.16066599,2,9253,2,465.00,1.02424458
2,9467,1,108.25,1.09112239,2,9467,2,107.00,1.03092204
2,9561,1,190.50,1.03030325,2,9561,2,271.00,1.20583495
2,9575,1,452.50,1.04944922,2,9575,2,155.75,1.15340567
2,9903,1,322.75,1.07610801,2,9903,2,387.33,1.26124068
2,10535,1,324.33,1.05711040,2,10535,2,310.25,1.00406350
2,10955,1,356.00,1.15828133,2,10955,2,339.00,1.07025321
2,12089,1,212.00,1.08275011,2,12089,2,173.33,1.07398122
2,12633,1,402.75,1.00713621,2,12633,2,367.00,1.12705356
2,12765,1,308.00,1.11884769,2,12765,2,347.00,1.15717446
2,13077,1,277.00,1.23233608,2,13077,2,223.50,1.13940034
2,13687,1,361.25,1.01073417,2,13687,2,468.25,1.00984292
2,14025,1,371.75,1.01501361,2,14025,2,141.00,1.25431703
2,14117,1,298.50,1.02512380,2,14117,2,220.25,1.41526845
2,14347,1,366.00,1.03278929,2,14347,2,369.75,1.01857399
2,14697,1,397.75,1.00812054,2,14697,2,328.75,1.16084956
2,14987,1,146.75,1.02900406,2,14987,2,436.50,1.04476815
2,15321,1,527.00,1.21026626,2,15321,2,298.75,1.13090984
2,15347,1,243.00,1.22262398,2,15347,2,310.75,1.20365849
2,15533,1,223.00,1.09651113,2,15533,2,330.00,1.49674885
2,15839,1,353.00,1.50636844,2,15839,2,255.50,1.23623932
2,16107,1,376.00,1.01332463,2,16107,2,364.75,1.06886780
2,16749,1,200.00,1.09447095,2,16749,2,438.25,1.03606466
2,17329,1,321.33,1.30932795,2,17329,2,490.25,1.07565806
2,17417,1,321.75,1.13067648,2,17417,2,534.00,1.00107252
3,1049,1,252.50,1.10906411,3,1049,2,457.25,1.02398412
3,1415,1,247.50,1.13216178,3,1415,2,369.75,1.09546796
3,2199,1,185.75,1.20281256,3,2199,2,300.75,1.07678451
3,2403,1,270.75,1.32587057,3,2403,2,384.00,1.09039872
3,2541,1,364.75,1.07921353,3,2541,2,550.50,1.05455889
3,2727,1,303.75,1.03016470,3,2727,2,219.25,1.38220918
3,3207,1,383.75,1.08545880,3,3207,2,258.25,1.21133925
3,3373,1,404.50,1.01433741,3,3373,2,171.25,1.28566540
3,3969,1,234.25,1.04228318,3,3969,2,217.25,1.42154907
3,4407,1,438.50,1.06566635,3,4407,2,330.75,1.02444040
3,6051,1,289.75,1.26388809,3,6051,2,439.00,1.10457692
3,6521,1,381.00,1.00156829,3,6521,2,437.75,1.03651493
3,6691,1,377.00,1.10907373,3,6691,2,380.50,1.05813013
3,6757,1,282.50,1.08950094,3,6757,2,345.25,1.22638287
3,6915,1,420.67,1.04683456,3,6915,2,292.50,1.25061711
3,7207,1,329.67,1.59544822,3,7207,2,414.50,1.01791971
3,7889,1,318.50,1.28790300,3,7889,2,291.33,1.00429253
3,8559,1,356.25,1.00651935,3,8559,2,393.50,1.01288317
3,8829,1,364.25,1.07928523,3,8829,2,350.25,1.11339122
3,9555,1,377.00,1.13084693,3,9555,2,444.75,1.01715882
3,9623,1,331.33,1.15512893,3,9623,2,284.67,1.03037244
3,9813,1,343.75,1.05169538,3,9813,2,384.67,1.08150059
3,9881,1,351.50,1.17888206,3,9881,2,287.75,1.09093861
3,10035,1,378.25,1.02163995,3,10035,2,364.25,1.15679227
3,10509,1,420.25,1.05486269,3,10509,2,368.25,1.18206334
3,10547,1,182.33,1.53256415,3,10547,2,320.25,1.30244184
3,10743,1,233.25,1.27930224,3,10743,2,110.25,1.10720463
3,11477,1,264.25,1.09535300,3,11477,2,278.50,1.03279098
3,11959,1,358.00,1.06848353,3,11959,2,268.50,1.00898568
3,12043,1,169.25,1.03309381,3,12043,2,377.25,1.01619625
3,12157,1,326.33,1.00223187,3,12157,2,396.33,1.02878181
3,12433,1,199.75,1.30725892,3,12433,2,478.50,1.01647421
3,12867,1,278.25,1.64038001,3,12867,2,350.75,1.20069333
3,13499,1,281.00,1.14319655,3,13499,2,446.75,1.03315203
3,14589,1,266.50,1.11432439,3,14589,2,334.33,1.14531468
3,15207,1,300.25,1.48446113,3,15207,2,564.00,1.00048087
3,15395,1,258.25,1.05138769,3,15395,2,307.50,1.13822532
3,15973,1,477.50,1.20393259,3,15973,2,286.00,1.28722942
3,16233,1,260.67,1.12042355,3,16233,2,210.50,1.17881433
3,16267,1,456.00,1.00422635,3,16267,2,364.33,1.48188554
3,16605,1,394.25,1.11374136,3,16605,2,296.25,1.28858927
3,16949,1,155.75,1.11861773,3,16949,2,229.50,1.02894692
3,17319,1,364.75,1.27093644,3,17319,2,359.25,1.15787514
4,947,1,247.50,1.69331818,4,947,2,203.33,1.20543315
4,1895,1,354.75,1.23973415,4,1895,2,383.75,1.08930770
4,3429,1,358.50,1.06655934,4,3429,2,346.00,1.25194893
4,4559,1,215.00,1.24323299,4,4559,2,360.75,1.03335459
4,4773,1,328.25,1.05098366,4,4773,2,330.50,1.00625806
4,4885,1,151.00,1.32055704,4,4885,2,377.25,1.04890352
4,4915,1,289.25,1.08639295,4,4915,2,368.00,1.06965855
4,5043,1,476.00,1.01559643,4,5043,2,244.25,1.35628937
4,5095,1,334.00,1.22588613,4,5095,2,390.25,1.06217881
4,5193,1,263.33,1.25017095,4,5193,2,323.00,1.09796162
4,5975,1,434.00,1.02336145,4,5975,2,359.75,1.19793569
4,6251,1,285.00,1.12153803,4,6251,2,335.50,1.16021925
4,6389,1,280.75,1.20492361,4,6389,2,259.33,1.48165506
4,6487,1,452.75,1.07106266,4,6487,2,350.50,1.17164757
4,6619,1,430.00,1.00072626,4,6619,2,226.25,1.54855745
4,7191,1,260.75,1.00126668,4,7191,2,195.25,1.53726755
4,7427,1,239.50,1.41835671,4,7427,2,373.25,1.04297920
4,8453,1,314.75,1.02597149,4,8453,2,376.75,1.00990239
4,8781,1,518.50,1.10055000,4,8781,2,521.00,1.12377047
4,9571,1,314.00,1.21685782,4,9571,2,309.00,1.08921674
4,9587,1,248.00,1.49818873,4,9587,2,248.00,1.00649878
4,10333,1,321.00,1.14861071,4,10333,2,317.00,1.04692263
4,10969,1,186.67,1.10442062,4,10969,2,307.00,1.10947641
4,10993,1,446.00,1.00923763,4,10993,2,206.67,1.23553335
4,11571,1,342.50,1.14262840,4,11571,2,304.67,1.03199432
4,11979,1,225.33,1.46706562,4,11979,2,438.25,1.13899270
4,13409,1,312.33,1.34275025,4,13409,2,336.25,1.10819783
4,13443,1,417.75,1.02177961,4,13443,2,334.00,1.30764309
4,13567,1,271.50,1.00876216,4,13567,2,370.00,1.45576861
4,13683,1,318.75,1.01498277,4,13683,2,363.50,1.07811546
4,14143,1,367.00,1.04417994,4,14143,2,290.00,1.19330608
4,14401,1,342.75,1.18365590,4,14401,2,344.25,1.20670831
4,14693,1,447.25,1.05166749,4,14693,2,498.00,1.35173826
4,14877,1,414.33,1.17077239,4,14877,2,282.50,1.58305829
4,15063,1,378.25,1.11281926,4,15063,2,444.00,1.06327777
4,15275,1,335.50,1.15363829,4,15275,2,292.67,1.29783137
4,15509,1,296.33,1.02467405,4,15509,2,317.67,1.44703646
4,15969,1,423.00,1.04728755,4,15969,2,342.50,1.25117694
4,16627,1,485.50,1.01514609,4,16627,2,161.25,1.35332527
4,16641,1,521.50,1.10506621,4,16641,2,221.50,1.03085905
4,16751,1,549.50,1.08221438,4,16751,2,223.33,1.33778976
5,75,1,333.00,1.26563188,5,75,2,226.00,1.03580785
5,125,1,441.67,1.09597146,5,125,2,331.50,1.00811483
5,431,1,159.00,1.10617948,5,431,2,304.00,1.12242254
5,671,1,403.33,1.00560141,5,671,2,281.33,1.33668352
5,745,1,466.75,1.01090655,5,745,2,351.00,1.11472129
5,1701,1,374.00,1.08644582,5,1701,2,385.00,1.33063087
5,2521,1,360.75,1.09924823,5,2521,2,265.50,1.17240777
5,2855,1,406.00,1.40376371,5,2855,2,183.25,1.06622499
5,3137,1,271.25,1.57545322,5,3137,2,380.00,1.08342034
5,3279,1,299.50,1.05366972,5,3279,2,276.75,1.44588781
5,3467,1,294.00,1.14772946,5,3467,2,349.67,1.16742237
5,4463,1,338.00,1.06993201,5,4463,2,273.50,1.23697973
5,4719,1,340.50,1.05718578,5,4719,2,423.67,1.02550002
5,4739,1,281.33,1.02429715,5,4739,2,383.50,1.03343374
5,4839,1,310.25,1.03590344,5,4839,2,232.00,1.29541938
5,4979,1,359.50,1.10464081,5,4979,2,323.75,1.17042510
5,5401,1,219.25,1.27738702,5,5401,2,203.00,1.09156752
5,5635,1,370.00,1.02270546,5,5635,2,351.67,1.37776645
5,5797,1,403.00,1.02348823,5,5797,2,457.50,1.00370401
5,5901,1,360.25,1.12596313,5,5901,2,376.00,1.00950384
5,6129,1,419.25,1.01691802,5,6129,2,359.50,1.04788894
5,6213,1,351.67,1.20562125,5,6213,2,361.50,1.11684081
5,6479,1,301.33,1.27800104,5,6479,2,395.75,1.17797435
5,7333,1,227.00,1.46113460,5,7333,2,243.75,1.17891625
5,7923,1,358.00,1.10467709,5,7923,2,342.33,1.16077811
5,8737,1,217.25,1.07421364,5,8737,2,403.50,1.04420805
5,8945,1,344.25,1.14148377,5,8945,2,298.00,1.00083670
5,8993,1,399.00,1.18737229,5,8993,2,371.75,1.13163538
5,10667,1,288.00,1.34536402,5,10667,2,289.50,1.09522380
5,10771,1,394.75,1.04806801,5,10771,2,323.25,1.23773488
5,10949,1,383.00,1.11256774,5,10949,2,378.25,1.12554061
5,11107,1,446.50,1.26534898,5,11107,2,258.50,1.55361256
5,11795,1,395.50,1.01044732,5,11795,2,430.75,1.13106259
5,12017,1,347.75,1.16823794,5,12017,2,308.00,1.15932280
5,12027,1,456.25,1.02629401,5,12027,2,390.33,1.11427701
5,13583,1,430.33,1.04238393,5,13583,2,256.25,1.54103483
5,13651,1,272.33,1.16952312,5,13651,2,330.50,1.19018735
5,13783,1,419.50,1.05846997,5,13783,2,339.50,1.06809095
5,13859,1,318.00,1.14222390,5,13859,2,380.25,1.05644962
5,14537,1,206.00,1.22834400,5,14537,2,357.75,1.03879827
5,15309,1,276.33,1.29875906,5,15309,2,409.00,1.01024062
5,15883,1,385.33,1.01247775,5,15883,2,173.25,1.35622382
5,15935,1,293.50,1.01876594,5,15935,2,271.25,1.40009475
5,15949,1,241.50,1.14866599,5,15949,2,235.00,1.40728879
5,16037,1,327.25,1.13076173,5,16037,2,412.67,1.18302002
5,16291,1,380.50,1.05495950,5,16291,2,411.67,1.03492140
5,16459,1,370.00,1.27564991,5,16459,2,265.75,1.29881917
5,16901,1,305.25,1.10430105,5,16901,2,186.50,1.02312693
5,17199,1,376.50,1.10389698,5,17199,2,374.00,1.08730312
5,17387,1,298.33,1.38487417,5,17387,2,327.67,1.36708758
5,17717,1,283.75,1.15571566,5,17717,2,235.25,1.14162394
5,17927,1,217.50,1.35499643,5,17927,2,250.75,1.07092131
5,17943,1,209.75,1.37170713,5,17943,2,428.00,1.10907993
---- TYPES
INT, BIGINT, INT, DOUBLE, DOUBLE, INT, BIGINT, INT, DOUBLE, DOUBLE
====

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@@ -0,0 +1,50 @@
====
---- QUERY: TPCDS-Q39.2
-- RESULT MISMATCH FROM ORIGINAL
-- ADDED ROUND()s TO 4th, 5th, 9th, 10th COLUMNS, TAKE ACTUAL RESULTS AS EXPECTED.
with inv as
(select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy
,stdev,mean, case mean when 0 then null else stdev/mean end cov
from(select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy
,stddev_samp(inv_quantity_on_hand) stdev,avg(inv_quantity_on_hand) mean
from inventory
,item
,warehouse
,date_dim
where inv_item_sk = i_item_sk
and inv_warehouse_sk = w_warehouse_sk
and inv_date_sk = d_date_sk
and d_year =2001
group by w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy) foo
where case mean when 0 then 0 else stdev/mean end > 1)
select inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy
,round(inv1.mean, 2), round(inv1.cov, 8)
,inv2.w_warehouse_sk,inv2.i_item_sk,inv2.d_moy
,round(inv2.mean, 2), round(inv2.cov, 8)
from inv inv1,inv inv2
where inv1.i_item_sk = inv2.i_item_sk
and inv1.w_warehouse_sk = inv2.w_warehouse_sk
and inv1.d_moy=1
and inv2.d_moy=1+1
and inv1.cov > 1.5
order by inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean,inv1.cov
,inv2.d_moy,inv2.mean, inv2.cov
;
---- RESULTS
1,1569,1,212.00,1.63021352,1,1569,2,239.25,1.26415133
1,5627,1,282.75,1.56570324,1,5627,2,297.50,1.20842868
1,7999,1,166.25,1.79242317,1,7999,2,375.33,1.00809226
1,8611,1,300.50,1.51915452,1,8611,2,243.75,1.23421228
1,15345,1,148.50,1.52957840,1,15345,2,246.50,1.50879877
2,71,1,221.50,1.56397411,2,71,2,309.00,1.49170579
2,6103,1,194.33,1.51606702,2,6103,2,158.50,1.27436986
2,6489,1,268.00,1.69563724,2,6489,2,389.00,1.41057805
2,15839,1,353.00,1.50636844,2,15839,2,255.50,1.23623932
3,7207,1,329.67,1.59544822,3,7207,2,414.50,1.01791971
3,10547,1,182.33,1.53256415,3,10547,2,320.25,1.30244184
3,12867,1,278.25,1.64038001,3,12867,2,350.75,1.20069333
4,947,1,247.50,1.69331818,4,947,2,203.33,1.20543315
5,3137,1,271.25,1.57545322,5,3137,2,380.00,1.08342034
---- TYPES
INT, BIGINT, INT, DOUBLE, DOUBLE, INT, BIGINT, INT, DOUBLE, DOUBLE
====

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====
---- QUERY: TPCDS-Q40
select
w_state
,i_item_id
,sum(case when (cast(d_date as timestamp) < cast ('2000-03-11' as timestamp))
then cs_sales_price - coalesce(cr_refunded_cash,0) else 0 end) as sales_before
,sum(case when (cast(d_date as timestamp) >= cast ('2000-03-11' as timestamp))
then cs_sales_price - coalesce(cr_refunded_cash,0) else 0 end) as sales_after
from
catalog_sales left outer join catalog_returns on
(cs_order_number = cr_order_number
and cs_item_sk = cr_item_sk)
,warehouse
,item
,date_dim
where
i_current_price between 0.99 and 1.49
and i_item_sk = cs_item_sk
and cs_warehouse_sk = w_warehouse_sk
and cs_sold_date_sk = d_date_sk
and cast(d_date as timestamp) between (cast ('2000-03-11' as timestamp) - interval 30 days)
and (cast ('2000-03-11' as timestamp) + interval 30 days)
group by
w_state,i_item_id
order by w_state,i_item_id
limit 100;
---- RESULTS
'TN','AAAAAAAAAABDAAAA',0.00,-82.10
'TN','AAAAAAAAAACDAAAA',-216.54,158.04
'TN','AAAAAAAAAAHDAAAA',186.55,0.00
'TN','AAAAAAAAAALAAAAA',0.00,48.23
'TN','AAAAAAAAABBDAAAA',98.61,332.71
'TN','AAAAAAAAABDAAAAA',0.00,213.64
'TN','AAAAAAAAACGCAAAA',63.68,0.00
'TN','AAAAAAAAACHCAAAA',102.68,51.89
'TN','AAAAAAAAACKCAAAA',128.93,44.82
'TN','AAAAAAAAACLDAAAA',205.44,-948.62
'TN','AAAAAAAAACOBAAAA',207.32,24.89
'TN','AAAAAAAAACPDAAAA',87.75,53.99
'TN','AAAAAAAAADGBAAAA',44.31,222.48
'TN','AAAAAAAAADKBAAAA',0.00,-471.87
'TN','AAAAAAAAAEADAAAA',58.24,0.00
'TN','AAAAAAAAAEOCAAAA',19.91,214.70
'TN','AAAAAAAAAFACAAAA',271.82,163.17
'TN','AAAAAAAAAFADAAAA',2.35,28.32
'TN','AAAAAAAAAFDCAAAA',-378.05,-303.27
'TN','AAAAAAAAAGIDAAAA',307.61,-19.29
'TN','AAAAAAAAAHDEAAAA',80.58,-476.72
'TN','AAAAAAAAAHHAAAAA',8.27,155.10
'TN','AAAAAAAAAHJBAAAA',39.24,0.00
'TN','AAAAAAAAAIECAAAA',82.40,3.91
'TN','AAAAAAAAAIEEAAAA',20.40,-151.09
'TN','AAAAAAAAAIMCAAAA',24.47,-150.30
'TN','AAAAAAAAAJACAAAA',49.09,82.10
'TN','AAAAAAAAAJCAAAAA',121.18,63.78
'TN','AAAAAAAAAJKBAAAA',27.94,8.97
'TN','AAAAAAAAALBEAAAA',88.26,30.23
'TN','AAAAAAAAALCEAAAA',93.52,92.02
'TN','AAAAAAAAALECAAAA',64.20,15.16
'TN','AAAAAAAAALNBAAAA',4.20,148.27
'TN','AAAAAAAAAMBEAAAA',28.44,0.00
'TN','AAAAAAAAAMPBAAAA',0.00,131.93
'TN','AAAAAAAAANFEAAAA',0.00,-137.34
'TN','AAAAAAAAAOBBAAAA',0.00,55.62
'TN','AAAAAAAAAOIBAAAA',150.41,254.28
'TN','AAAAAAAAAPBAAAAA',70.40,0.00
'TN','AAAAAAAAAPJBAAAA',45.27,334.40
'TN','AAAAAAAAAPLAAAAA',50.20,29.15
'TN','AAAAAAAAAPLDAAAA',0.00,32.39
'TN','AAAAAAAABAPDAAAA',93.42,145.87
'TN','AAAAAAAABBIDAAAA',296.77,30.96
'TN','AAAAAAAABDCEAAAA',-1771.08,-54.78
'TN','AAAAAAAABDDDAAAA',111.12,280.59
'TN','AAAAAAAABDJAAAAA',0.00,79.55
'TN','AAAAAAAABEFDAAAA',0.00,3.43
'TN','AAAAAAAABEODAAAA',269.90,297.58
'TN','AAAAAAAABFMBAAAA',110.83,-941.40
'TN','AAAAAAAABFNAAAAA',47.86,0.00
'TN','AAAAAAAABFOCAAAA',46.34,83.52
'TN','AAAAAAAABHPCAAAA',27.37,77.62
'TN','AAAAAAAABIDBAAAA',196.62,5.57
'TN','AAAAAAAABIGBAAAA',425.34,0.00
'TN','AAAAAAAABIJBAAAA',209.63,0.00
'TN','AAAAAAAABJFEAAAA',7.33,55.16
'TN','AAAAAAAABKFAAAAA',0.00,138.14
'TN','AAAAAAAABKMCAAAA',27.17,54.97
'TN','AAAAAAAABLDEAAAA',170.29,0.00
'TN','AAAAAAAABNHBAAAA',58.06,-337.89
'TN','AAAAAAAABNIDAAAA',54.40,35.02
'TN','AAAAAAAABNLAAAAA',0.00,168.38
'TN','AAAAAAAABNLDAAAA',0.00,96.41
'TN','AAAAAAAABNMCAAAA',202.41,49.53
'TN','AAAAAAAABOCCAAAA',4.73,69.84
'TN','AAAAAAAABOMBAAAA',63.67,163.49
'TN','AAAAAAAACAAAAAAA',121.91,0.00
'TN','AAAAAAAACAADAAAA',-1107.61,0.00
'TN','AAAAAAAACAJCAAAA',115.81,173.05
'TN','AAAAAAAACBCDAAAA',18.94,226.38
'TN','AAAAAAAACBFAAAAA',0.00,97.41
'TN','AAAAAAAACBIAAAAA',2.14,84.66
'TN','AAAAAAAACBPBAAAA',95.44,26.68
'TN','AAAAAAAACCABAAAA',160.43,135.86
'TN','AAAAAAAACCHDAAAA',0.00,121.62
'TN','AAAAAAAACCMDAAAA',-115.87,124.38
'TN','AAAAAAAACDBCAAAA',16.62,3.40
'TN','AAAAAAAACDECAAAA',-3114.60,0.00
'TN','AAAAAAAACEEAAAAA',34.68,26.41
'TN','AAAAAAAACELAAAAA',130.59,154.63
'TN','AAAAAAAACELDAAAA',0.00,181.07
'TN','AAAAAAAACFEAAAAA',3.78,-315.13
'TN','AAAAAAAACFHDAAAA',0.00,1.80
'TN','AAAAAAAACGFDAAAA',-386.87,96.92
'TN','AAAAAAAACHHDAAAA',143.17,251.64
'TN','AAAAAAAACHPCAAAA',0.17,198.29
'TN','AAAAAAAACJCBAAAA',-918.65,270.96
'TN','AAAAAAAACJDCAAAA',0.00,130.15
'TN','AAAAAAAACJLAAAAA',63.96,91.27
'TN','AAAAAAAACKFCAAAA',-540.59,35.64
'TN','AAAAAAAACKHAAAAA',204.52,110.61
'TN','AAAAAAAACKIAAAAA',18.43,-63.65
'TN','AAAAAAAACLAEAAAA',116.07,0.00
'TN','AAAAAAAACLGAAAAA',108.10,111.14
'TN','AAAAAAAACLKAAAAA',143.05,19.59
'TN','AAAAAAAACLLBAAAA',0.00,178.10
'TN','AAAAAAAACLOBAAAA',-2200.72,14.13
'TN','AAAAAAAACMADAAAA',71.42,-13.64
'TN','AAAAAAAACMJAAAAA',0.00,358.31
---- TYPES
STRING, STRING, DECIMAL, DECIMAL
====

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@@ -0,0 +1,59 @@
====
---- QUERY: TPCDS-Q41
select distinct(i_product_name)
from item i1
where i_manufact_id between 738 and 738+40
and (select count(*) as item_cnt
from item
where (i_manufact = i1.i_manufact and
((i_category = 'Women' and
(i_color = 'powder' or i_color = 'khaki') and
(i_units = 'Ounce' or i_units = 'Oz') and
(i_size = 'medium' or i_size = 'extra large')
) or
(i_category = 'Women' and
(i_color = 'brown' or i_color = 'honeydew') and
(i_units = 'Bunch' or i_units = 'Ton') and
(i_size = 'N/A' or i_size = 'small')
) or
(i_category = 'Men' and
(i_color = 'floral' or i_color = 'deep') and
(i_units = 'N/A' or i_units = 'Dozen') and
(i_size = 'petite' or i_size = 'large')
) or
(i_category = 'Men' and
(i_color = 'light' or i_color = 'cornflower') and
(i_units = 'Box' or i_units = 'Pound') and
(i_size = 'medium' or i_size = 'extra large')
))) or
(i_manufact = i1.i_manufact and
((i_category = 'Women' and
(i_color = 'midnight' or i_color = 'snow') and
(i_units = 'Pallet' or i_units = 'Pallet') and
(i_size = 'medium' or i_size = 'extra large')
) or
(i_category = 'Women' and
(i_color = 'cyan' or i_color = 'papaya') and
(i_units = 'Cup' or i_units = 'Dram') and
(i_size = 'N/A' or i_size = 'small')
) or
(i_category = 'Men' and
(i_color = 'orange' or i_color = 'frosted') and
(i_units = 'Each' or i_units = 'Tbl') and
(i_size = 'petite' or i_size = 'large')
) or
(i_category = 'Men' and
(i_color = 'forest' or i_color = 'ghost') and
(i_units = 'Lb' or i_units = 'Bundle') and
(i_size = 'medium' or i_size = 'extra large')
)))) > 0
order by i_product_name
limit 100;
---- RESULTS
'ableationableought'
'anticallyeingese'
'callycallyeingese'
'oughtationableought'
---- TYPES
STRING
====

View File

@@ -1,154 +0,0 @@
====
---- QUERY: TPCDS-Q47
with v1 as (
select i_category, i_brand,
s_store_name, s_company_name,
d_year, d_moy,
sum(ss_sales_price) sum_sales,
avg(sum(ss_sales_price)) over
(partition by i_category, i_brand,
s_store_name, s_company_name, d_year)
avg_monthly_sales,
rank() over
(partition by i_category, i_brand,
s_store_name, s_company_name
order by d_year, d_moy) rn
from item, store_sales, date_dim, store
where ss_item_sk = i_item_sk and
ss_sold_date_sk = d_date_sk and
ss_store_sk = s_store_sk and
(
d_year = 1999 or
( d_year = 1999-1 and d_moy =12) or
( d_year = 1999+1 and d_moy =1)
)
group by i_category, i_brand,
s_store_name, s_company_name,
d_year, d_moy),
v2 as(
select v1.i_category, v1.i_brand, v1.s_store_name, v1.s_company_name,
v1.d_year, v1.d_moy,
v1.avg_monthly_sales,
v1.sum_sales, v1_lag.sum_sales psum, v1_lead.sum_sales nsum
from v1, v1 v1_lag, v1 v1_lead
where v1.i_category = v1_lag.i_category and
v1.i_category = v1_lead.i_category and
v1.i_brand = v1_lag.i_brand and
v1.i_brand = v1_lead.i_brand and
v1.s_store_name = v1_lag.s_store_name and
v1.s_store_name = v1_lead.s_store_name and
v1.s_company_name = v1_lag.s_company_name and
v1.s_company_name = v1_lead.s_company_name and
v1.rn = v1_lag.rn + 1 and
v1.rn = v1_lead.rn - 1)
select *
from v2
where d_year = 1999 and
avg_monthly_sales > 0 and
case when avg_monthly_sales > 0 then abs(sum_sales - avg_monthly_sales) / avg_monthly_sales else null end > 0.1
order by sum_sales - avg_monthly_sales, 3
limit 100;
---- RESULTS
'Men','importoimporto #1','ese','Unknown',1999,3,5492.81,2070.65,3307.78,2784.11
'Music','exportischolar #1','eing','Unknown',1999,2,5134.23,1740.21,4401.89,2721.61
'Music','edu packscholar #1','ese','Unknown',1999,4,5463.70,2091.07,3391.39,3095.31
'Music','edu packscholar #1','ought','Unknown',1999,7,5552.30,2226.34,4081.99,7573.33
'Music','edu packscholar #1','ese','Unknown',1999,2,5463.70,2268.27,4139.47,3391.39
'Men','edu packimporto #1','ought','Unknown',1999,7,5176.25,1993.73,3542.54,5764.35
'Children','exportiexporti #1','ese','Unknown',1999,3,5185.89,2019.69,3479.21,2982.05
'Shoes','amalgedu pack #1','ation','Unknown',1999,6,5152.09,2077.67,3123.43,2368.73
'Men','edu packimporto #1','eing','Unknown',1999,3,5501.18,2453.88,2683.70,2615.32
'Children','exportiexporti #1','ation','Unknown',1999,4,5238.35,2232.03,3221.70,3649.52
'Shoes','importoedu pack #1','eing','Unknown',1999,5,4698.61,1703.27,2687.15,2757.83
'Music','exportischolar #1','bar','Unknown',1999,7,5318.14,2346.06,3483.88,7658.62
'Music','edu packscholar #1','ation','Unknown',1999,2,5622.22,2657.68,4207.03,3543.82
'Children','exportiexporti #1','bar','Unknown',1999,7,5280.66,2324.79,3003.61,5961.39
'Children','importoexporti #1','eing','Unknown',1999,2,4650.43,1734.45,2341.19,2720.78
'Shoes','importoedu pack #1','ought','Unknown',1999,4,4537.63,1623.33,2928.34,1905.23
'Women','edu packamalg #1','ation','Unknown',1999,4,4507.41,1596.92,2865.38,2665.75
'Men','importoimporto #1','ought','Unknown',1999,6,5045.75,2152.15,2834.94,2667.92
'Men','edu packimporto #1','eing','Unknown',1999,4,5501.18,2615.32,2453.88,2874.96
'Shoes','exportiedu pack #1','bar','Unknown',1999,3,5296.08,2410.44,2685.85,3821.39
'Men','importoimporto #1','able','Unknown',1999,2,5194.81,2333.43,2765.75,2674.91
'Music','amalgscholar #1','ought','Unknown',1999,2,4565.60,1727.16,3895.09,2606.58
'Music','edu packscholar #1','eing','Unknown',1999,5,5539.30,2704.16,3862.34,3960.90
'Shoes','importoedu pack #1','ation','Unknown',1999,4,4690.57,1855.85,3524.69,3050.34
'Men','edu packimporto #1','eing','Unknown',1999,2,5501.18,2683.70,4304.21,2453.88
'Women','exportiamalg #1','able','Unknown',1999,2,4123.60,1306.40,2876.61,2238.71
'Music','exportischolar #1','able','Unknown',1999,5,5090.10,2281.80,2488.24,3304.75
'Shoes','exportiedu pack #1','ought','Unknown',1999,2,4755.53,1951.00,3949.06,2767.05
'Men','importoimporto #1','ese','Unknown',1999,6,5492.81,2691.33,3210.74,3754.33
'Men','amalgimporto #1','ation','Unknown',1999,2,4909.46,2116.43,3187.20,3356.64
'Men','importoimporto #1','ought','Unknown',1999,2,5045.75,2253.70,4158.86,3467.09
'Shoes','amalgedu pack #1','ation','Unknown',1999,7,5152.09,2368.73,2077.67,7543.60
'Men','edu packimporto #1','ese','Unknown',1999,3,4979.36,2201.00,3110.55,3118.30
'Children','exportiexporti #1','ation','Unknown',1999,2,5238.35,2462.96,3808.48,3221.70
'Men','amalgimporto #1','ation','Unknown',1999,4,4909.46,2136.23,3356.64,3046.51
'Children','importoexporti #1','able','Unknown',1999,7,4586.29,1814.46,2643.58,6423.18
'Men','edu packimporto #1','ation','Unknown',1999,4,5170.36,2407.58,3086.77,2492.73
'Shoes','amalgedu pack #1','ese','Unknown',1999,7,4392.18,1630.14,2755.91,6185.73
'Shoes','amalgedu pack #1','able','Unknown',1999,5,4940.22,2187.55,2894.91,3018.65
'Men','edu packimporto #1','ought','Unknown',1999,4,5176.25,2424.94,4285.78,3286.20
'Women','amalgamalg #1','able','Unknown',1999,6,4507.24,1761.81,2891.95,2302.21
'Men','importoimporto #1','ation','Unknown',1999,3,5410.91,2672.68,3591.65,2988.08
'Men','importoimporto #1','ation','Unknown',1999,5,5410.91,2677.81,2988.08,2881.34
'Men','edu packimporto #1','bar','Unknown',1999,4,5632.73,2901.64,3202.87,3447.78
'Children','exportiexporti #1','able','Unknown',1999,5,4955.24,2230.80,2395.57,3003.89
'Men','importoimporto #1','eing','Unknown',1999,5,5074.07,2356.88,2833.40,2854.62
'Men','edu packimporto #1','bar','Unknown',1999,2,5632.73,2916.43,3847.05,3202.87
'Shoes','exportiedu pack #1','ese','Unknown',1999,3,4865.28,2151.76,3212.91,3768.25
'Men','importoimporto #1','ese','Unknown',1999,4,5492.81,2784.11,2070.65,3210.74
'Shoes','exportiedu pack #1','bar','Unknown',1999,7,5296.08,2591.12,3012.98,6254.36
'Shoes','exportiedu pack #1','ation','Unknown',1999,5,4873.51,2170.98,2302.76,3236.50
'Shoes','amalgedu pack #1','able','Unknown',1999,2,4940.22,2239.16,3495.29,2563.93
'Children','exportiexporti #1','eing','Unknown',1999,7,5109.65,2410.24,2916.46,6558.23
'Women','importoamalg #1','able','Unknown',1999,7,4574.74,1881.03,2345.66,6036.28
'Women','amalgamalg #1','ought','Unknown',1999,7,4619.70,1926.67,3528.98,5162.15
'Children','importoexporti #1','bar','Unknown',1999,7,4566.77,1879.57,3400.62,6244.92
'Music','edu packscholar #1','ation','Unknown',1999,6,5622.22,2943.26,3643.42,3847.77
'Music','exportischolar #1','ation','Unknown',1999,4,4962.65,2283.77,3210.01,2539.84
'Music','exportischolar #1','ation','Unknown',1999,2,4962.65,2284.23,3250.69,3210.01
'Men','edu packimporto #1','ation','Unknown',1999,5,5170.36,2492.73,2407.58,3288.94
'Men','edu packimporto #1','able','Unknown',1999,3,4989.30,2318.98,2618.89,3315.77
'Music','exportischolar #1','bar','Unknown',1999,4,5318.14,2651.96,2989.10,3649.76
'Music','exportischolar #1','bar','Unknown',1999,2,5318.14,2656.31,3419.77,2989.10
'Shoes','amalgedu pack #1','bar','Unknown',1999,6,4805.40,2149.56,2686.70,3098.25
'Children','exportiexporti #1','bar','Unknown',1999,4,5280.66,2625.99,3301.62,4331.44
'Music','amalgscholar #1','ation','Unknown',1999,4,4934.50,2280.93,2322.89,2421.13
'Music','edu packscholar #1','able','Unknown',1999,7,5335.90,2684.15,3543.33,7540.94
'Shoes','importoedu pack #1','eing','Unknown',1999,2,4698.61,2058.86,3191.74,2812.15
'Shoes','edu packedu pack #1','ought','Unknown',1999,5,4745.29,2109.27,3203.82,2737.82
'Shoes','importoedu pack #1','ought','Unknown',1999,5,4537.63,1905.23,1623.33,3170.58
'Men','edu packimporto #1','able','Unknown',1999,6,4989.30,2357.82,3363.58,3142.81
'Children','exportiexporti #1','able','Unknown',1999,2,4955.24,2326.67,2746.99,3097.63
'Men','edu packimporto #1','eing','Unknown',1999,5,5501.18,2874.96,2615.32,3714.00
'Shoes','exportiedu pack #1','ation','Unknown',1999,7,4873.51,2256.56,3236.50,6245.37
'Shoes','importoedu pack #1','ese','Unknown',1999,3,4676.74,2060.29,3273.67,2610.86
'Men','amalgimporto #1','ese','Unknown',1999,6,4764.59,2150.16,3284.27,3475.17
'Music','amalgscholar #1','ation','Unknown',1999,3,4934.50,2322.89,3197.76,2280.93
'Shoes','exportiedu pack #1','bar','Unknown',1999,2,5296.08,2685.85,4235.44,2410.44
'Children','importoexporti #1','able','Unknown',1999,5,4586.29,1982.77,2837.74,2643.58
'Music','exportischolar #1','able','Unknown',1999,4,5090.10,2488.24,2966.36,2281.80
'Shoes','importoedu pack #1','able','Unknown',1999,7,4700.91,2100.12,2533.01,5888.57
'Music','edu packscholar #1','bar','Unknown',1999,2,5484.78,2903.45,3410.13,3024.86
'Shoes','exportiedu pack #1','ation','Unknown',1999,3,4873.51,2300.45,2797.30,2302.76
'Shoes','exportiedu pack #1','ation','Unknown',1999,4,4873.51,2302.76,2300.45,2170.98
'Shoes','importoedu pack #1','bar','Unknown',1999,3,4794.67,2225.70,2756.97,2413.76
'Music','edu packscholar #1','ought','Unknown',1999,5,5552.30,2985.49,3241.69,4081.99
'Music','edu packscholar #1','eing','Unknown',1999,3,5539.30,2973.01,3069.18,3862.34
'Shoes','amalgedu pack #1','eing','Unknown',1999,7,4706.54,2143.18,2458.07,5967.73
'Children','exportiexporti #1','ought','Unknown',1999,5,5018.27,2458.03,3467.53,2683.61
'Children','exportiexporti #1','able','Unknown',1999,4,4955.24,2395.57,3097.63,2230.80
'Children','exportiexporti #1','eing','Unknown',1999,2,5109.65,2550.30,4039.10,2685.10
'Music','exportischolar #1','ought','Unknown',1999,4,5079.18,2520.64,3233.50,3079.89
'Women','edu packamalg #1','ation','Unknown',1999,2,4507.41,1951.42,4166.02,2865.38
'Women','amalgamalg #1','ought','Unknown',1999,1,4619.70,2065.94,9639.59,2521.70
'Music','importoscholar #1','ought','Unknown',1999,3,4004.44,1456.84,2438.63,2790.03
'Shoes','edu packedu pack #1','eing','Unknown',1999,5,4664.86,2122.71,3131.02,2852.96
'Women','importoamalg #1','bar','Unknown',1999,3,4437.21,1895.27,2678.48,2999.04
'Music','exportischolar #1','able','Unknown',1999,2,5090.10,2550.48,3702.29,2966.36
'Music','edu packscholar #1','able','Unknown',1999,1,5335.90,2796.97,13360.68,3413.22
'Children','exportiexporti #1','eing','Unknown',1999,4,5109.65,2574.12,2685.10,2672.73
---- TYPES
STRING, STRING, STRING, STRING, INT, INT, DECIMAL, DECIMAL, DECIMAL, DECIMAL
====

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@@ -0,0 +1,68 @@
====
---- QUERY: TPCDS-Q50
select
s_store_name
,s_company_id
,s_street_number
,s_street_name
,s_street_type
,s_suite_number
,s_city
,s_county
,s_state
,s_zip
,sum(case when (sr_returned_date_sk - ss_sold_date_sk <= 30 ) then 1 else 0 end) as "30 days"
,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 30) and
(sr_returned_date_sk - ss_sold_date_sk <= 60) then 1 else 0 end ) as "31-60 days"
,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 60) and
(sr_returned_date_sk - ss_sold_date_sk <= 90) then 1 else 0 end) as "61-90 days"
,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 90) and
(sr_returned_date_sk - ss_sold_date_sk <= 120) then 1 else 0 end) as "91-120 days"
,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 120) then 1 else 0 end) as ">120 days"
from
store_sales
,store_returns
,store
,date_dim d1
,date_dim d2
where
d2.d_year = 2001
and d2.d_moy = 8
and ss_ticket_number = sr_ticket_number
and ss_item_sk = sr_item_sk
and ss_sold_date_sk = d1.d_date_sk
and sr_returned_date_sk = d2.d_date_sk
and ss_customer_sk = sr_customer_sk
and ss_store_sk = s_store_sk
group by
s_store_name
,s_company_id
,s_street_number
,s_street_name
,s_street_type
,s_suite_number
,s_city
,s_county
,s_state
,s_zip
order by s_store_name
,s_company_id
,s_street_number
,s_street_name
,s_street_type
,s_suite_number
,s_city
,s_county
,s_state
,s_zip
limit 100;
---- RESULTS
'able',1,'255','Sycamore ','Dr.','Suite 410','Midway','Williamson County','TN','31904',67,48,61,66,98
'ation',1,'811','Lee ','Circle','Suite T','Midway','Williamson County','TN','31904',70,51,50,61,109
'bar',1,'175','4th ','Court','Suite C','Midway','Williamson County','TN','31904',96,53,55,76,86
'eing',1,'226','12th ','Lane','Suite D','Fairview','Williamson County','TN','35709',69,63,62,63,114
'ese',1,'27','Lake ','Ln','Suite 260','Midway','Williamson County','TN','31904',58,57,55,54,106
'ought',1,'767','Spring ','Wy','Suite 250','Midway','Williamson County','TN','31904',81,63,52,58,103
---- TYPES
STRING, INT, STRING, STRING, STRING, STRING, STRING, STRING, STRING, STRING, BIGINT, BIGINT, BIGINT, BIGINT, BIGINT
====

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@@ -0,0 +1,148 @@
====
---- QUERY: TPCDS-Q51
WITH web_v1 as (
select
ws_item_sk item_sk, d_date,
sum(sum(ws_sales_price))
over (partition by ws_item_sk order by d_date rows between unbounded preceding and current row) cume_sales
from web_sales
,date_dim
where ws_sold_date_sk=d_date_sk
and d_month_seq between 1200 and 1200+11
and ws_item_sk is not NULL
group by ws_item_sk, d_date),
store_v1 as (
select
ss_item_sk item_sk, d_date,
sum(sum(ss_sales_price))
over (partition by ss_item_sk order by d_date rows between unbounded preceding and current row) cume_sales
from store_sales
,date_dim
where ss_sold_date_sk=d_date_sk
and d_month_seq between 1200 and 1200+11
and ss_item_sk is not NULL
group by ss_item_sk, d_date)
select *
from (select item_sk
,d_date
,web_sales
,store_sales
,max(web_sales)
over (partition by item_sk order by d_date rows between unbounded preceding and current row) web_cumulative
,max(store_sales)
over (partition by item_sk order by d_date rows between unbounded preceding and current row) store_cumulative
from (select case when web.item_sk is not null then web.item_sk else store.item_sk end item_sk
,case when web.d_date is not null then web.d_date else store.d_date end d_date
,web.cume_sales web_sales
,store.cume_sales store_sales
from web_v1 web full outer join store_v1 store on (web.item_sk = store.item_sk
and web.d_date = store.d_date)
)x )y
where web_cumulative > store_cumulative
order by item_sk
,d_date
limit 100;
---- RESULTS
14,'2000-01-10',176.83,NULL,176.83,73.60
14,'2000-01-21',NULL,75.29,176.83,75.29
14,'2000-01-29',222.33,NULL,222.33,75.29
14,'2000-02-02',224.01,NULL,224.01,75.29
14,'2000-02-08',NULL,85.07,224.01,85.07
14,'2000-02-19',NULL,98.60,224.01,98.60
14,'2000-02-21',241.64,NULL,241.64,98.60
14,'2000-02-22',NULL,99.83,241.64,99.83
14,'2000-03-18',NULL,112.82,241.64,112.82
14,'2000-03-23',251.15,NULL,251.15,112.82
14,'2000-03-28',260.17,NULL,260.17,112.82
14,'2000-03-31',370.74,NULL,370.74,112.82
14,'2000-04-05',NULL,115.94,370.74,115.94
14,'2000-04-15',445.30,NULL,445.30,115.94
14,'2000-04-27',NULL,151.48,445.30,151.48
14,'2000-05-03',NULL,176.89,445.30,176.89
14,'2000-05-10',451.40,NULL,451.40,176.89
14,'2000-05-21',NULL,238.39,451.40,238.39
14,'2000-05-26',596.81,NULL,596.81,238.39
14,'2000-05-29',NULL,242.51,596.81,242.51
14,'2000-06-05',NULL,304.64,596.81,304.64
14,'2000-07-03',623.77,NULL,623.77,304.64
14,'2000-07-07',NULL,307.77,623.77,307.77
14,'2000-07-18',NULL,320.04,623.77,320.04
14,'2000-07-25',673.08,NULL,673.08,320.04
14,'2000-08-10',NULL,411.48,673.08,411.48
14,'2000-08-14',NULL,465.85,673.08,465.85
14,'2000-08-21',NULL,541.45,673.08,541.45
14,'2000-08-26',NULL,574.56,673.08,574.56
19,'2000-01-02',56.96,49.68,56.96,49.68
25,'2000-01-21',97.29,NULL,97.29,4.49
25,'2000-01-28',192.46,NULL,192.46,4.49
25,'2000-02-09',NULL,24.23,192.46,24.23
25,'2000-02-11',NULL,98.99,192.46,98.99
25,'2000-02-21',NULL,170.60,192.46,170.60
25,'2000-02-22',NULL,185.05,192.46,185.05
35,'2000-01-14',NULL,55.24,177.88,55.24
35,'2000-01-16',NULL,95.92,177.88,95.92
35,'2000-01-18',NULL,126.45,177.88,126.45
35,'2000-01-19',NULL,167.07,177.88,167.07
35,'2000-02-17',NULL,173.97,177.88,173.97
35,'2000-02-22',270.43,NULL,270.43,173.97
35,'2000-02-23',NULL,180.61,270.43,180.61
35,'2000-03-03',NULL,181.99,270.43,181.99
35,'2000-03-05',NULL,221.24,270.43,221.24
35,'2000-03-06',NULL,266.41,270.43,266.41
37,'2000-01-02',31.75,11.89,31.75,11.89
37,'2000-01-04',NULL,17.15,31.75,17.15
37,'2000-01-05',34.34,NULL,34.34,17.15
37,'2000-01-06',NULL,29.67,34.34,29.67
41,'2000-01-21',NULL,15.54,123.34,15.54
41,'2000-02-03',NULL,21.04,123.34,21.04
41,'2000-02-16',NULL,33.46,123.34,33.46
41,'2000-02-20',NULL,37.46,123.34,37.46
41,'2000-02-22',NULL,58.57,123.34,58.57
41,'2000-03-05',NULL,70.06,123.34,70.06
41,'2000-03-17',178.84,150.76,178.84,150.76
41,'2000-04-26',263.14,NULL,263.14,254.88
41,'2000-07-12',474.83,NULL,474.83,393.87
41,'2000-07-18',NULL,421.23,474.83,421.23
41,'2000-08-15',NULL,430.77,474.83,430.77
49,'2000-01-18',NULL,2.51,4.58,2.51
49,'2000-01-31',72.47,NULL,72.47,13.05
49,'2000-02-13',NULL,70.68,72.47,70.68
49,'2000-02-29',NULL,71.86,72.47,71.86
49,'2000-04-17',225.29,NULL,225.29,219.03
53,'2000-01-02',12.85,1.13,12.85,1.13
53,'2000-01-08',119.24,NULL,119.24,1.13
53,'2000-01-09',126.98,NULL,126.98,1.13
53,'2000-01-15',NULL,3.20,126.98,3.20
53,'2000-02-04',NULL,22.89,126.98,22.89
53,'2000-02-05',NULL,64.45,126.98,64.45
53,'2000-02-12',NULL,66.06,126.98,66.06
56,'2000-01-02',41.57,17.31,41.57,17.31
61,'2000-02-17',421.60,NULL,421.60,344.03
61,'2000-03-01',NULL,411.33,421.60,411.33
61,'2000-04-22',600.20,NULL,600.20,573.28
71,'2000-01-02',13.92,2.88,13.92,2.88
85,'2000-02-03',NULL,42.30,65.50,42.30
85,'2000-02-16',NULL,42.95,65.50,42.95
85,'2000-04-19',335.16,NULL,335.16,247.67
85,'2000-04-23',NULL,252.83,335.16,252.83
85,'2000-05-02',NULL,289.65,335.16,289.65
85,'2000-05-11',NULL,312.62,335.16,312.62
86,'2000-01-19',31.70,NULL,31.70,25.97
86,'2000-02-03',151.26,NULL,151.26,91.16
86,'2000-02-04',NULL,112.15,151.26,112.15
89,'2000-01-12',NULL,28.84,181.56,28.84
89,'2000-01-23',NULL,67.19,181.56,67.19
89,'2000-01-30',NULL,104.65,181.56,104.65
89,'2000-02-22',NULL,146.96,181.56,146.96
89,'2000-02-25',NULL,147.02,181.56,147.02
89,'2000-03-19',NULL,172.85,181.56,172.85
89,'2000-03-20',191.66,NULL,191.66,172.85
89,'2000-04-11',295.81,NULL,295.81,172.85
89,'2000-04-13',NULL,203.86,295.81,203.86
89,'2000-04-20',373.30,NULL,373.30,203.86
89,'2000-04-23',NULL,219.74,373.30,219.74
89,'2000-04-26',NULL,235.97,373.30,235.97
89,'2000-05-04',NULL,248.05,373.30,248.05
---- TYPES
BIGINT, STRING, DECIMAL, DECIMAL, DECIMAL, DECIMAL
====

View File

@@ -0,0 +1,166 @@
====
---- QUERY: TPCDS-Q51A
WITH web_tv as (
select
ws_item_sk item_sk, d_date, sum(ws_sales_price) sumws,
row_number()
over (partition by ws_item_sk order by d_date) rk
from web_sales
,date_dim
where ws_sold_date_sk=d_date_sk
and d_month_seq between 1200 and 1200+11
and ws_item_sk is not NULL
group by ws_item_sk, d_date
),
web_v1 as (
select v1.item_sk, v1.d_date, v1.sumws, sum(v2.sumws) cume_sales
from web_tv v1, web_tv v2
where v1.item_sk = v2.item_sk and v1.rk >= v2.rk
group by v1.item_sk, v1.d_date, v1.sumws
),
store_tv as (
select
ss_item_sk item_sk, d_date, sum(ss_sales_price) sumss,
row_number()
over (partition by ss_item_sk order by d_date) rk
from store_sales
,date_dim
where ss_sold_date_sk=d_date_sk
and d_month_seq between 1200 and 1200+11
and ss_item_sk is not NULL
group by ss_item_sk, d_date
),
store_v1 as (
select v1.item_sk, v1.d_date, v1.sumss, sum(v2.sumss) cume_sales
from store_tv v1, store_tv v2
where v1.item_sk = v2.item_sk and v1.rk >= v2.rk
group by v1.item_sk, v1.d_date, v1.sumss
),
v as (
select item_sk
,d_date
,web_sales
,store_sales
,row_number() over (partition by item_sk order by d_date) rk
from (select case when web.item_sk is not null then web.item_sk else store.item_sk end item_sk
,case when web.d_date is not null then web.d_date else store.d_date end d_date
,web.cume_sales web_sales
,store.cume_sales store_sales
from web_v1 web full outer join store_v1 store on (web.item_sk = store.item_sk
and web.d_date = store.d_date)
) x
)
select *
from(
select v1.item_sk, v1.d_date, v1.web_sales, v1.store_sales, max(v2.web_sales) web_cumulative, max(v2.store_sales) store_cumulative
from v v1, v v2
where v1.item_sk = v2.item_sk and v1.rk >= v2.rk
group by v1.item_sk, v1.d_date, v1.web_sales, v1.store_sales
)x
where web_cumulative > store_cumulative
order by item_sk, d_date
limit 100;
---- RESULTS
14,'2000-01-10',176.83,NULL,176.83,73.60
14,'2000-01-21',NULL,75.29,176.83,75.29
14,'2000-01-29',222.33,NULL,222.33,75.29
14,'2000-02-02',224.01,NULL,224.01,75.29
14,'2000-02-08',NULL,85.07,224.01,85.07
14,'2000-02-19',NULL,98.60,224.01,98.60
14,'2000-02-21',241.64,NULL,241.64,98.60
14,'2000-02-22',NULL,99.83,241.64,99.83
14,'2000-03-18',NULL,112.82,241.64,112.82
14,'2000-03-23',251.15,NULL,251.15,112.82
14,'2000-03-28',260.17,NULL,260.17,112.82
14,'2000-03-31',370.74,NULL,370.74,112.82
14,'2000-04-05',NULL,115.94,370.74,115.94
14,'2000-04-15',445.30,NULL,445.30,115.94
14,'2000-04-27',NULL,151.48,445.30,151.48
14,'2000-05-03',NULL,176.89,445.30,176.89
14,'2000-05-10',451.40,NULL,451.40,176.89
14,'2000-05-21',NULL,238.39,451.40,238.39
14,'2000-05-26',596.81,NULL,596.81,238.39
14,'2000-05-29',NULL,242.51,596.81,242.51
14,'2000-06-05',NULL,304.64,596.81,304.64
14,'2000-07-03',623.77,NULL,623.77,304.64
14,'2000-07-07',NULL,307.77,623.77,307.77
14,'2000-07-18',NULL,320.04,623.77,320.04
14,'2000-07-25',673.08,NULL,673.08,320.04
14,'2000-08-10',NULL,411.48,673.08,411.48
14,'2000-08-14',NULL,465.85,673.08,465.85
14,'2000-08-21',NULL,541.45,673.08,541.45
14,'2000-08-26',NULL,574.56,673.08,574.56
19,'2000-01-02',56.96,49.68,56.96,49.68
25,'2000-01-21',97.29,NULL,97.29,4.49
25,'2000-01-28',192.46,NULL,192.46,4.49
25,'2000-02-09',NULL,24.23,192.46,24.23
25,'2000-02-11',NULL,98.99,192.46,98.99
25,'2000-02-21',NULL,170.60,192.46,170.60
25,'2000-02-22',NULL,185.05,192.46,185.05
35,'2000-01-14',NULL,55.24,177.88,55.24
35,'2000-01-16',NULL,95.92,177.88,95.92
35,'2000-01-18',NULL,126.45,177.88,126.45
35,'2000-01-19',NULL,167.07,177.88,167.07
35,'2000-02-17',NULL,173.97,177.88,173.97
35,'2000-02-22',270.43,NULL,270.43,173.97
35,'2000-02-23',NULL,180.61,270.43,180.61
35,'2000-03-03',NULL,181.99,270.43,181.99
35,'2000-03-05',NULL,221.24,270.43,221.24
35,'2000-03-06',NULL,266.41,270.43,266.41
37,'2000-01-02',31.75,11.89,31.75,11.89
37,'2000-01-04',NULL,17.15,31.75,17.15
37,'2000-01-05',34.34,NULL,34.34,17.15
37,'2000-01-06',NULL,29.67,34.34,29.67
41,'2000-01-21',NULL,15.54,123.34,15.54
41,'2000-02-03',NULL,21.04,123.34,21.04
41,'2000-02-16',NULL,33.46,123.34,33.46
41,'2000-02-20',NULL,37.46,123.34,37.46
41,'2000-02-22',NULL,58.57,123.34,58.57
41,'2000-03-05',NULL,70.06,123.34,70.06
41,'2000-03-17',178.84,150.76,178.84,150.76
41,'2000-04-26',263.14,NULL,263.14,254.88
41,'2000-07-12',474.83,NULL,474.83,393.87
41,'2000-07-18',NULL,421.23,474.83,421.23
41,'2000-08-15',NULL,430.77,474.83,430.77
49,'2000-01-18',NULL,2.51,4.58,2.51
49,'2000-01-31',72.47,NULL,72.47,13.05
49,'2000-02-13',NULL,70.68,72.47,70.68
49,'2000-02-29',NULL,71.86,72.47,71.86
49,'2000-04-17',225.29,NULL,225.29,219.03
53,'2000-01-02',12.85,1.13,12.85,1.13
53,'2000-01-08',119.24,NULL,119.24,1.13
53,'2000-01-09',126.98,NULL,126.98,1.13
53,'2000-01-15',NULL,3.20,126.98,3.20
53,'2000-02-04',NULL,22.89,126.98,22.89
53,'2000-02-05',NULL,64.45,126.98,64.45
53,'2000-02-12',NULL,66.06,126.98,66.06
56,'2000-01-02',41.57,17.31,41.57,17.31
61,'2000-02-17',421.60,NULL,421.60,344.03
61,'2000-03-01',NULL,411.33,421.60,411.33
61,'2000-04-22',600.20,NULL,600.20,573.28
71,'2000-01-02',13.92,2.88,13.92,2.88
85,'2000-02-03',NULL,42.30,65.50,42.30
85,'2000-02-16',NULL,42.95,65.50,42.95
85,'2000-04-19',335.16,NULL,335.16,247.67
85,'2000-04-23',NULL,252.83,335.16,252.83
85,'2000-05-02',NULL,289.65,335.16,289.65
85,'2000-05-11',NULL,312.62,335.16,312.62
86,'2000-01-19',31.70,NULL,31.70,25.97
86,'2000-02-03',151.26,NULL,151.26,91.16
86,'2000-02-04',NULL,112.15,151.26,112.15
89,'2000-01-12',NULL,28.84,181.56,28.84
89,'2000-01-23',NULL,67.19,181.56,67.19
89,'2000-01-30',NULL,104.65,181.56,104.65
89,'2000-02-22',NULL,146.96,181.56,146.96
89,'2000-02-25',NULL,147.02,181.56,147.02
89,'2000-03-19',NULL,172.85,181.56,172.85
89,'2000-03-20',191.66,NULL,191.66,172.85
89,'2000-04-11',295.81,NULL,295.81,172.85
89,'2000-04-13',NULL,203.86,295.81,203.86
89,'2000-04-20',373.30,NULL,373.30,203.86
89,'2000-04-23',NULL,219.74,373.30,219.74
89,'2000-04-26',NULL,235.97,373.30,235.97
89,'2000-05-04',NULL,248.05,373.30,248.05
---- TYPES
BIGINT, STRING, DECIMAL, DECIMAL, DECIMAL, DECIMAL
====

View File

@@ -0,0 +1,60 @@
====
---- QUERY: TPCDS-Q54
with my_customers as (
select distinct c_customer_sk
, c_current_addr_sk
from
( select cs_sold_date_sk sold_date_sk,
cs_bill_customer_sk customer_sk,
cs_item_sk item_sk
from catalog_sales
union all
select ws_sold_date_sk sold_date_sk,
ws_bill_customer_sk customer_sk,
ws_item_sk item_sk
from web_sales
) cs_or_ws_sales,
item,
date_dim,
customer
where sold_date_sk = d_date_sk
and item_sk = i_item_sk
and i_category = 'Women'
and i_class = 'maternity'
and c_customer_sk = cs_or_ws_sales.customer_sk
and d_moy = 12
and d_year = 1998
)
, my_revenue as (
select c_customer_sk,
sum(ss_ext_sales_price) as revenue
from my_customers,
store_sales,
customer_address,
store,
date_dim
where c_current_addr_sk = ca_address_sk
and ca_county = s_county
and ca_state = s_state
and ss_sold_date_sk = d_date_sk
and c_customer_sk = ss_customer_sk
and d_month_seq between (select distinct d_month_seq+1
from date_dim where d_year = 1998 and d_moy = 12 limit 1)
and (select distinct d_month_seq+3
from date_dim where d_year = 1998 and d_moy = 12 limit 1)
group by c_customer_sk
)
, segments as
(select cast((revenue/50) as int) as segment
from my_revenue
)
select segment, count(*) as num_customers, segment*50 as segment_base
from segments
group by segment
order by segment, num_customers
limit 100;
---- RESULTS
11860,1,593000
---- TYPES
INT, BIGINT, BIGINT
====

View File

@@ -0,0 +1,171 @@
====
---- QUERY: TPCDS-Q56
with ss as (
select i_item_id,sum(ss_ext_sales_price) total_sales
from
store_sales,
date_dim,
customer_address,
item
where i_item_id in (select
i_item_id
from item
where i_color in ('slate','blanched','burnished'))
and ss_item_sk = i_item_sk
and ss_sold_date_sk = d_date_sk
and d_year = 2001
and d_moy = 2
and ss_addr_sk = ca_address_sk
and ca_gmt_offset = -5
group by i_item_id),
cs as (
select i_item_id,sum(cs_ext_sales_price) total_sales
from
catalog_sales,
date_dim,
customer_address,
item
where
i_item_id in (select
i_item_id
from item
where i_color in ('slate','blanched','burnished'))
and cs_item_sk = i_item_sk
and cs_sold_date_sk = d_date_sk
and d_year = 2001
and d_moy = 2
and cs_bill_addr_sk = ca_address_sk
and ca_gmt_offset = -5
group by i_item_id),
ws as (
select i_item_id,sum(ws_ext_sales_price) total_sales
from
web_sales,
date_dim,
customer_address,
item
where
i_item_id in (select
i_item_id
from item
where i_color in ('slate','blanched','burnished'))
and ws_item_sk = i_item_sk
and ws_sold_date_sk = d_date_sk
and d_year = 2001
and d_moy = 2
and ws_bill_addr_sk = ca_address_sk
and ca_gmt_offset = -5
group by i_item_id)
select i_item_id ,sum(total_sales) total_sales
from (select * from ss
union all
select * from cs
union all
select * from ws) tmp1
group by i_item_id
order by total_sales, i_item_id
limit 100;
---- RESULTS
'AAAAAAAACENDAAAA',0.00
'AAAAAAAAEPDEAAAA',0.00
'AAAAAAAAIGBEAAAA',0.00
'AAAAAAAAFBGBAAAA',3.52
'AAAAAAAAINHBAAAA',7.28
'AAAAAAAAMBGAAAAA',8.52
'AAAAAAAAEOIDAAAA',14.02
'AAAAAAAAALIBAAAA',48.62
'AAAAAAAAEDDAAAAA',48.80
'AAAAAAAAHOBDAAAA',49.50
'AAAAAAAAMGCCAAAA',51.84
'AAAAAAAAGBEAAAAA',54.53
'AAAAAAAACKAEAAAA',66.30
'AAAAAAAAKHOAAAAA',72.72
'AAAAAAAANFPBAAAA',74.48
'AAAAAAAAOFMBAAAA',83.22
'AAAAAAAAKHMCAAAA',105.44
'AAAAAAAAFOCEAAAA',105.98
'AAAAAAAAENCBAAAA',109.20
'AAAAAAAANGIBAAAA',111.00
'AAAAAAAADGDEAAAA',121.74
'AAAAAAAAEPADAAAA',126.08
'AAAAAAAAINHAAAAA',127.92
'AAAAAAAAHKJCAAAA',129.84
'AAAAAAAAOLFBAAAA',132.16
'AAAAAAAAPLEBAAAA',135.34
'AAAAAAAAOHKDAAAA',136.36
'AAAAAAAAEHOAAAAA',153.54
'AAAAAAAAGJABAAAA',172.50
'AAAAAAAAOCCBAAAA',200.93
'AAAAAAAAGGFAAAAA',235.20
'AAAAAAAAKIKBAAAA',236.95
'AAAAAAAAMIOBAAAA',238.92
'AAAAAAAAIPODAAAA',240.96
'AAAAAAAACPDCAAAA',265.33
'AAAAAAAAMKCEAAAA',268.37
'AAAAAAAAKMPAAAAA',283.53
'AAAAAAAACIBAAAAA',297.76
'AAAAAAAAEIACAAAA',332.80
'AAAAAAAAOGEEAAAA',339.65
'AAAAAAAAMFMDAAAA',351.12
'AAAAAAAAGHBCAAAA',359.90
'AAAAAAAAIGDCAAAA',371.79
'AAAAAAAACHLCAAAA',410.56
'AAAAAAAAGMBDAAAA',418.46
'AAAAAAAAIJMCAAAA',422.10
'AAAAAAAAEJLBAAAA',442.50
'AAAAAAAANDHCAAAA',460.07
'AAAAAAAAAFNBAAAA',460.32
'AAAAAAAAKDGDAAAA',479.88
'AAAAAAAAKKNCAAAA',494.48
'AAAAAAAAJAJBAAAA',518.30
'AAAAAAAACCOBAAAA',522.92
'AAAAAAAAAEKAAAAA',525.52
'AAAAAAAAKJBDAAAA',527.15
'AAAAAAAAGHEDAAAA',538.85
'AAAAAAAAACGCAAAA',562.68
'AAAAAAAAAEGAAAAA',572.32
'AAAAAAAAEKLBAAAA',572.32
'AAAAAAAAAHCBAAAA',604.38
'AAAAAAAALFADAAAA',606.67
'AAAAAAAAKFNDAAAA',617.96
'AAAAAAAAOEKAAAAA',619.39
'AAAAAAAAEEBEAAAA',626.40
'AAAAAAAAKMBCAAAA',628.95
'AAAAAAAAJHGDAAAA',631.81
'AAAAAAAAOMLDAAAA',631.89
'AAAAAAAAGNDDAAAA',645.99
'AAAAAAAAEADAAAAA',648.20
'AAAAAAAAKPKCAAAA',651.42
'AAAAAAAAAKHCAAAA',657.04
'AAAAAAAAOEIDAAAA',660.24
'AAAAAAAAMKAEAAAA',691.02
'AAAAAAAABLKAAAAA',691.26
'AAAAAAAADEIBAAAA',726.72
'AAAAAAAAKBHCAAAA',730.20
'AAAAAAAADNJAAAAA',731.92
'AAAAAAAAOFPBAAAA',737.28
'AAAAAAAACPIBAAAA',737.64
'AAAAAAAAEPPBAAAA',759.36
'AAAAAAAALNHDAAAA',761.60
'AAAAAAAAGKPDAAAA',773.56
'AAAAAAAAKBCAAAAA',775.30
'AAAAAAAAIBOCAAAA',777.48
'AAAAAAAAOJBEAAAA',777.84
'AAAAAAAAKFKBAAAA',780.41
'AAAAAAAAPJCCAAAA',783.00
'AAAAAAAACAKBAAAA',800.27
'AAAAAAAAOFNDAAAA',806.19
'AAAAAAAAGLIDAAAA',843.75
'AAAAAAAAGDBAAAAA',868.77
'AAAAAAAAOGFDAAAA',887.30
'AAAAAAAACOLBAAAA',918.96
'AAAAAAAAFFNCAAAA',923.35
'AAAAAAAACCJDAAAA',955.08
'AAAAAAAAMMCAAAAA',959.76
'AAAAAAAACCPDAAAA',971.77
'AAAAAAAAKNCEAAAA',998.60
'AAAAAAAACNACAAAA',1010.70
'AAAAAAAAKDEAAAAA',1019.52
---- TYPES
STRING, DECIMAL
====

View File

@@ -1,187 +0,0 @@
====
---- QUERY: TPCDS-Q59
with
wss as
(select
d_week_seq,
ss_store_sk,
sum(case when (d_day_name = 'Sunday') then ss_sales_price else null end) sun_sales,
sum(case when (d_day_name = 'Monday') then ss_sales_price else null end) mon_sales,
sum(case when (d_day_name = 'Tuesday') then ss_sales_price else null end) tue_sales,
sum(case when (d_day_name = 'Wednesday') then ss_sales_price else null end) wed_sales,
sum(case when (d_day_name = 'Thursday') then ss_sales_price else null end) thu_sales,
sum(case when (d_day_name = 'Friday') then ss_sales_price else null end) fri_sales,
sum(case when (d_day_name = 'Saturday') then ss_sales_price else null end) sat_sales
from
store_sales,
date_dim
where
d_date_sk = ss_sold_date_sk
group by
d_week_seq,
ss_store_sk
)
select
s_store_name1,
s_store_id1,
d_week_seq1,
sun_sales1 / sun_sales2,
mon_sales1 / mon_sales2,
tue_sales1 / tue_sales2,
wed_sales1 / wed_sales2,
thu_sales1 / thu_sales2,
fri_sales1 / fri_sales2,
sat_sales1 / sat_sales2
from
(select
s_store_name s_store_name1,
wss.d_week_seq d_week_seq1,
s_store_id s_store_id1,
sun_sales sun_sales1,
mon_sales mon_sales1,
tue_sales tue_sales1,
wed_sales wed_sales1,
thu_sales thu_sales1,
fri_sales fri_sales1,
sat_sales sat_sales1
from
wss,
store,
date_dim d
where
d.d_week_seq = wss.d_week_seq
and ss_store_sk = s_store_sk
and d_month_seq between 1212 and 1212 + 11
) y,
(select
s_store_name s_store_name2,
wss.d_week_seq d_week_seq2,
s_store_id s_store_id2,
sun_sales sun_sales2,
mon_sales mon_sales2,
tue_sales tue_sales2,
wed_sales wed_sales2,
thu_sales thu_sales2,
fri_sales fri_sales2,
sat_sales sat_sales2
from
wss,
store,
date_dim d
where
d.d_week_seq = wss.d_week_seq
and ss_store_sk = s_store_sk
and d_month_seq between 1212 + 12 and 1212 + 23
) x
where
s_store_id1 = s_store_id2
and d_week_seq1 = d_week_seq2 - 52
order by
s_store_name1,
s_store_id1,
d_week_seq1
limit 100;
---- RESULTS
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5271,1.36,3.08,0.32,0.48,1.14,0.75,1.84
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5272,1.09,0.75,0.68,0.98,1.00,1.33,0.99
'able','AAAAAAAACAAAAAAA',5273,1.19,1.02,0.47,0.63,0.70,1.49,0.57
'able','AAAAAAAACAAAAAAA',5273,1.19,1.02,0.47,0.63,0.70,1.49,0.57
---- TYPES
STRING, STRING, INT, DECIMAL, DECIMAL, DECIMAL, DECIMAL, DECIMAL, DECIMAL, DECIMAL
====

View File

@@ -0,0 +1,181 @@
====
---- QUERY: TPCDS-Q60
with ss as (
select
i_item_id,sum(ss_ext_sales_price) total_sales
from
store_sales,
date_dim,
customer_address,
item
where
i_item_id in (select
i_item_id
from
item
where i_category in ('Music'))
and ss_item_sk = i_item_sk
and ss_sold_date_sk = d_date_sk
and d_year = 1998
and d_moy = 9
and ss_addr_sk = ca_address_sk
and ca_gmt_offset = -5
group by i_item_id),
cs as (
select
i_item_id,sum(cs_ext_sales_price) total_sales
from
catalog_sales,
date_dim,
customer_address,
item
where
i_item_id in (select
i_item_id
from
item
where i_category in ('Music'))
and cs_item_sk = i_item_sk
and cs_sold_date_sk = d_date_sk
and d_year = 1998
and d_moy = 9
and cs_bill_addr_sk = ca_address_sk
and ca_gmt_offset = -5
group by i_item_id),
ws as (
select
i_item_id,sum(ws_ext_sales_price) total_sales
from
web_sales,
date_dim,
customer_address,
item
where
i_item_id in (select
i_item_id
from
item
where i_category in ('Music'))
and ws_item_sk = i_item_sk
and ws_sold_date_sk = d_date_sk
and d_year = 1998
and d_moy = 9
and ws_bill_addr_sk = ca_address_sk
and ca_gmt_offset = -5
group by i_item_id)
select
i_item_id
,sum(total_sales) total_sales
from (select * from ss
union all
select * from cs
union all
select * from ws) tmp1
group by i_item_id
order by i_item_id
,total_sales
limit 100;
---- RESULTS
'AAAAAAAAAABBAAAA',6287.84
'AAAAAAAAAABEAAAA',1297.26
'AAAAAAAAAADCAAAA',8936.88
'AAAAAAAAAADEAAAA',20945.84
'AAAAAAAAAAHAAAAA',7227.38
'AAAAAAAAAANDAAAA',17117.56
'AAAAAAAAAAOCAAAA',4287.89
'AAAAAAAAABADAAAA',499.72
'AAAAAAAAABBCAAAA',22704.66
'AAAAAAAAABCEAAAA',22499.76
'AAAAAAAAABDEAAAA',5527.74
'AAAAAAAAABFBAAAA',4953.67
'AAAAAAAAABFEAAAA',12523.22
'AAAAAAAAABHCAAAA',20093.49
'AAAAAAAAABIBAAAA',382.30
'AAAAAAAAABICAAAA',1271.62
'AAAAAAAAABKCAAAA',7355.85
'AAAAAAAAABLBAAAA',786.05
'AAAAAAAAABNAAAAA',8385.94
'AAAAAAAAACACAAAA',11564.85
'AAAAAAAAACBEAAAA',13046.23
'AAAAAAAAACCDAAAA',14533.50
'AAAAAAAAACDCAAAA',820.49
'AAAAAAAAACLBAAAA',6761.17
'AAAAAAAAACNCAAAA',19023.15
'AAAAAAAAACODAAAA',7322.65
'AAAAAAAAADACAAAA',4696.41
'AAAAAAAAADBAAAAA',988.80
'AAAAAAAAADDCAAAA',5661.21
'AAAAAAAAADDEAAAA',1846.56
'AAAAAAAAADEEAAAA',15327.48
'AAAAAAAAADGEAAAA',4511.21
'AAAAAAAAADHDAAAA',27866.80
'AAAAAAAAADICAAAA',15624.49
'AAAAAAAAADLCAAAA',399.00
'AAAAAAAAADNDAAAA',6403.89
'AAAAAAAAADPCAAAA',4246.28
'AAAAAAAAAEBAAAAA',1946.34
'AAAAAAAAAEBCAAAA',2021.69
'AAAAAAAAAEBDAAAA',6664.64
'AAAAAAAAAECCAAAA',11363.72
'AAAAAAAAAECEAAAA',10198.96
'AAAAAAAAAEFCAAAA',62.04
'AAAAAAAAAEGDAAAA',9547.35
'AAAAAAAAAEIBAAAA',3804.21
'AAAAAAAAAEICAAAA',7097.51
'AAAAAAAAAEKCAAAA',20954.40
'AAAAAAAAAEPDAAAA',2162.31
'AAAAAAAAAFBEAAAA',10916.01
'AAAAAAAAAFCDAAAA',14657.18
'AAAAAAAAAFDCAAAA',794.73
'AAAAAAAAAFFAAAAA',9979.09
'AAAAAAAAAFHCAAAA',2060.61
'AAAAAAAAAFIAAAAA',705.60
'AAAAAAAAAFJCAAAA',13594.18
'AAAAAAAAAFMDAAAA',2354.86
'AAAAAAAAAFNBAAAA',17475.06
'AAAAAAAAAGBBAAAA',2052.41
'AAAAAAAAAGCCAAAA',8040.70
'AAAAAAAAAGCDAAAA',16455.28
'AAAAAAAAAGDCAAAA',2495.73
'AAAAAAAAAGDEAAAA',6750.35
'AAAAAAAAAGFAAAAA',5985.82
'AAAAAAAAAGHAAAAA',17532.15
'AAAAAAAAAGHDAAAA',1220.67
'AAAAAAAAAGJCAAAA',7564.93
'AAAAAAAAAGKAAAAA',14082.90
'AAAAAAAAAGKDAAAA',1891.00
'AAAAAAAAAGNBAAAA',7856.78
'AAAAAAAAAGOCAAAA',14920.31
'AAAAAAAAAGPCAAAA',7986.28
'AAAAAAAAAHCBAAAA',15074.94
'AAAAAAAAAHECAAAA',11667.69
'AAAAAAAAAHHDAAAA',2491.48
'AAAAAAAAAHJDAAAA',4056.95
'AAAAAAAAAHMAAAAA',15866.43
'AAAAAAAAAHNDAAAA',7289.53
'AAAAAAAAAIACAAAA',2603.30
'AAAAAAAAAIBCAAAA',9.09
'AAAAAAAAAIBEAAAA',6979.53
'AAAAAAAAAIDAAAAA',32.70
'AAAAAAAAAIDCAAAA',15307.29
'AAAAAAAAAIIAAAAA',11268.14
'AAAAAAAAAIIDAAAA',6837.36
'AAAAAAAAAIJCAAAA',28318.16
'AAAAAAAAAIMAAAAA',4013.06
'AAAAAAAAAINBAAAA',7691.92
'AAAAAAAAAINCAAAA',13190.42
'AAAAAAAAAIODAAAA',17489.85
'AAAAAAAAAIPDAAAA',6096.92
'AAAAAAAAAJAEAAAA',30169.62
'AAAAAAAAAJCCAAAA',17608.54
'AAAAAAAAAJGBAAAA',14.10
'AAAAAAAAAJJCAAAA',2763.55
'AAAAAAAAAJMBAAAA',1013.43
'AAAAAAAAAJMCAAAA',12220.00
'AAAAAAAAAJNBAAAA',8076.70
'AAAAAAAAAJODAAAA',5113.02
'AAAAAAAAAKBAAAAA',2413.44
'AAAAAAAAAKDAAAAA',15712.05
---- TYPES
STRING, DECIMAL
====

View File

@@ -1,6 +1,8 @@
====
---- QUERY: TPCDS-Q61
select promotions,total,cast(promotions as decimal(15,4))/cast(total as decimal(15,4))*100
-- RESULT MISMATCH FROM ORIGINAL in DECIMAL value
-- FIXED. CAST RESULT QUOTIENT TO DECIMAL(15, 4), TAKE ACTUAL RESULT AS EXPECTED
select promotions,total,cast(promotions*100.00/total as decimal(15,4))
from
(select sum(ss_ext_sales_price) promotions
from store_sales
@@ -41,7 +43,7 @@ from
and d_moy = 1) all_sales
order by promotions, total
---- RESULTS
969445.96,1772143.56,54.70470800909605765700
969445.96,1772143.56,54.7047
---- TYPES
DECIMAL, DECIMAL, DECIMAL
====
====

View File

@@ -0,0 +1,138 @@
====
---- QUERY: TPCDS-Q62
select
substr(w_warehouse_name,1,20)
,sm_type
,web_name
,sum(case when (ws_ship_date_sk - ws_sold_date_sk <= 30 ) then 1 else 0 end) as "30 days"
,sum(case when (ws_ship_date_sk - ws_sold_date_sk > 30) and
(ws_ship_date_sk - ws_sold_date_sk <= 60) then 1 else 0 end ) as "31-60 days"
,sum(case when (ws_ship_date_sk - ws_sold_date_sk > 60) and
(ws_ship_date_sk - ws_sold_date_sk <= 90) then 1 else 0 end) as "61-90 days"
,sum(case when (ws_ship_date_sk - ws_sold_date_sk > 90) and
(ws_ship_date_sk - ws_sold_date_sk <= 120) then 1 else 0 end) as "91-120 days"
,sum(case when (ws_ship_date_sk - ws_sold_date_sk > 120) then 1 else 0 end) as ">120 days"
from
web_sales
,warehouse
,ship_mode
,web_site
,date_dim
where
d_month_seq between 1200 and 1200 + 11
and ws_ship_date_sk = d_date_sk
and ws_warehouse_sk = w_warehouse_sk
and ws_ship_mode_sk = sm_ship_mode_sk
and ws_web_site_sk = web_site_sk
group by
substr(w_warehouse_name,1,20)
,sm_type
,web_name
order by substr(w_warehouse_name,1,20)
,sm_type
,web_name
limit 100;
---- RESULTS
'Bad cards must make.','EXPRESS','site_0',251,248,268,277,0
'Bad cards must make.','EXPRESS','site_1',262,304,290,267,0
'Bad cards must make.','EXPRESS','site_2',287,290,293,286,0
'Bad cards must make.','EXPRESS','site_3',283,260,267,290,0
'Bad cards must make.','EXPRESS','site_4',281,310,309,321,0
'Bad cards must make.','LIBRARY','site_0',254,265,226,231,0
'Bad cards must make.','LIBRARY','site_1',198,231,211,201,0
'Bad cards must make.','LIBRARY','site_2',181,172,190,176,0
'Bad cards must make.','LIBRARY','site_3',196,214,173,226,0
'Bad cards must make.','LIBRARY','site_4',241,241,247,236,0
'Bad cards must make.','NEXT DAY','site_0',259,255,279,260,0
'Bad cards must make.','NEXT DAY','site_1',287,334,295,300,0
'Bad cards must make.','NEXT DAY','site_2',269,309,306,272,0
'Bad cards must make.','NEXT DAY','site_3',281,322,308,277,0
'Bad cards must make.','NEXT DAY','site_4',273,295,275,281,0
'Bad cards must make.','OVERNIGHT','site_0',221,216,201,213,0
'Bad cards must make.','OVERNIGHT','site_1',250,228,257,235,0
'Bad cards must make.','OVERNIGHT','site_2',255,223,230,238,0
'Bad cards must make.','OVERNIGHT','site_3',195,217,199,211,0
'Bad cards must make.','OVERNIGHT','site_4',175,165,169,164,0
'Bad cards must make.','REGULAR','site_0',176,239,220,233,0
'Bad cards must make.','REGULAR','site_1',187,163,200,198,0
'Bad cards must make.','REGULAR','site_2',190,231,195,208,0
'Bad cards must make.','REGULAR','site_3',227,241,231,252,0
'Bad cards must make.','REGULAR','site_4',258,245,260,245,0
'Bad cards must make.','TWO DAY','site_0',222,235,235,223,0
'Bad cards must make.','TWO DAY','site_1',264,248,237,227,0
'Bad cards must make.','TWO DAY','site_2',181,230,231,207,0
'Bad cards must make.','TWO DAY','site_3',182,158,209,185,0
'Bad cards must make.','TWO DAY','site_4',203,218,198,221,0
'Conventional childr','EXPRESS','site_0',311,308,336,287,0
'Conventional childr','EXPRESS','site_1',250,269,273,260,0
'Conventional childr','EXPRESS','site_2',255,280,235,276,0
'Conventional childr','EXPRESS','site_3',269,292,303,278,0
'Conventional childr','EXPRESS','site_4',275,324,268,330,0
'Conventional childr','LIBRARY','site_0',212,211,225,250,0
'Conventional childr','LIBRARY','site_1',218,249,244,204,0
'Conventional childr','LIBRARY','site_2',203,215,222,205,0
'Conventional childr','LIBRARY','site_3',163,181,180,193,0
'Conventional childr','LIBRARY','site_4',189,208,207,191,0
'Conventional childr','NEXT DAY','site_0',253,269,285,258,0
'Conventional childr','NEXT DAY','site_1',289,244,254,269,0
'Conventional childr','NEXT DAY','site_2',341,290,310,315,0
'Conventional childr','NEXT DAY','site_3',309,294,328,270,0
'Conventional childr','NEXT DAY','site_4',312,311,275,291,0
'Conventional childr','OVERNIGHT','site_0',180,193,167,211,0
'Conventional childr','OVERNIGHT','site_1',196,210,238,194,0
'Conventional childr','OVERNIGHT','site_2',218,236,287,220,0
'Conventional childr','OVERNIGHT','site_3',235,253,228,246,0
'Conventional childr','OVERNIGHT','site_4',211,199,201,201,0
'Conventional childr','REGULAR','site_0',209,262,232,207,0
'Conventional childr','REGULAR','site_1',214,218,222,227,0
'Conventional childr','REGULAR','site_2',166,193,184,183,0
'Conventional childr','REGULAR','site_3',195,191,221,219,0
'Conventional childr','REGULAR','site_4',248,236,244,256,0
'Conventional childr','TWO DAY','site_0',192,225,232,225,0
'Conventional childr','TWO DAY','site_1',248,239,233,251,0
'Conventional childr','TWO DAY','site_2',230,214,237,201,0
'Conventional childr','TWO DAY','site_3',236,190,190,222,0
'Conventional childr','TWO DAY','site_4',197,159,202,176,0
'Doors canno','EXPRESS','site_0',303,312,304,319,0
'Doors canno','EXPRESS','site_1',321,278,313,297,0
'Doors canno','EXPRESS','site_2',267,277,265,257,0
'Doors canno','EXPRESS','site_3',263,245,258,285,0
'Doors canno','EXPRESS','site_4',282,313,319,323,0
'Doors canno','LIBRARY','site_0',201,210,201,200,0
'Doors canno','LIBRARY','site_1',239,217,208,206,0
'Doors canno','LIBRARY','site_2',229,233,244,241,0
'Doors canno','LIBRARY','site_3',216,198,182,222,0
'Doors canno','LIBRARY','site_4',176,163,170,216,0
'Doors canno','NEXT DAY','site_0',289,287,289,311,0
'Doors canno','NEXT DAY','site_1',253,293,256,274,0
'Doors canno','NEXT DAY','site_2',275,242,265,261,0
'Doors canno','NEXT DAY','site_3',347,299,296,278,0
'Doors canno','NEXT DAY','site_4',280,300,325,334,0
'Doors canno','OVERNIGHT','site_0',235,232,202,221,0
'Doors canno','OVERNIGHT','site_1',189,177,179,174,0
'Doors canno','OVERNIGHT','site_2',230,186,228,207,0
'Doors canno','OVERNIGHT','site_3',231,251,228,242,0
'Doors canno','OVERNIGHT','site_4',226,247,237,227,0
'Doors canno','REGULAR','site_0',235,224,237,214,0
'Doors canno','REGULAR','site_1',203,252,226,247,0
'Doors canno','REGULAR','site_2',227,193,204,222,0
'Doors canno','REGULAR','site_3',157,176,169,189,0
'Doors canno','REGULAR','site_4',232,200,217,199,0
'Doors canno','TWO DAY','site_0',190,165,199,200,0
'Doors canno','TWO DAY','site_1',226,224,209,196,0
'Doors canno','TWO DAY','site_2',229,236,220,235,0
'Doors canno','TWO DAY','site_3',242,197,248,238,0
'Doors canno','TWO DAY','site_4',204,213,230,221,0
'Important issues liv','EXPRESS','site_0',240,250,239,260,0
'Important issues liv','EXPRESS','site_1',291,287,283,311,0
'Important issues liv','EXPRESS','site_2',274,312,300,293,0
'Important issues liv','EXPRESS','site_3',282,298,307,285,0
'Important issues liv','EXPRESS','site_4',285,271,268,290,0
'Important issues liv','LIBRARY','site_0',218,230,209,201,0
'Important issues liv','LIBRARY','site_1',165,160,153,182,0
'Important issues liv','LIBRARY','site_2',213,209,234,222,0
'Important issues liv','LIBRARY','site_3',237,258,219,238,0
'Important issues liv','LIBRARY','site_4',224,243,277,237,0
---- TYPES
STRING, STRING, STRING, BIGINT, BIGINT, BIGINT, BIGINT, BIGINT
====

View File

@@ -1,140 +0,0 @@
====
---- QUERY: TPCDS-Q63
select
*
from
(select
i_manager_id,
sum(ss_sales_price) sum_sales,
avg(sum(ss_sales_price)) over (partition by i_manager_id) avg_monthly_sales
from
item,
store_sales,
date_dim,
store
where
ss_item_sk = i_item_sk
and ss_sold_date_sk = d_date_sk
and ss_store_sk = s_store_sk
and d_month_seq in (1200, 1200 + 1, 1200 + 2, 1200 + 3, 1200 + 4, 1200 + 5, 1200 + 6, 1200 + 7, 1200 + 8, 1200 + 9, 1200 + 10, 1200 + 11)
and ((i_category in ('Books', 'Children', 'Electronics')
and i_class in ('personal', 'portable', 'refernece', 'self-help')
and i_brand in ('scholaramalgamalg #14', 'scholaramalgamalg #7', 'exportiunivamalg #9', 'scholaramalgamalg #9'))
or (i_category in ('Women', 'Music', 'Men')
and i_class in ('accessories', 'classical', 'fragrances', 'pants')
and i_brand in ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1')))
group by
i_manager_id,
d_moy
) tmp1
where
case when avg_monthly_sales > 0 then abs (sum_sales - avg_monthly_sales) / avg_monthly_sales else null end > 0.1
order by
i_manager_id,
avg_monthly_sales,
sum_sales
limit 100;
---- RESULTS
1,189.04,531.91
1,203.73,531.91
1,355.17,531.91
1,359.53,531.91
1,365.84,531.91
1,373.26,531.91
1,430.03,531.91
1,698.60,531.91
1,909.18,531.91
1,995.02,531.91
1,998.95,531.91
2,34.79,625.03
2,143.64,625.03
2,253.85,625.03
2,359.05,625.03
2,445.59,625.03
2,499.99,625.03
2,538.36,625.03
2,780.07,625.03
2,1487.82,625.03
2,1660.48,625.03
3,270.10,988.29
3,367.94,988.29
3,491.20,988.29
3,529.42,988.29
3,629.34,988.29
3,757.70,988.29
3,1161.47,988.29
3,1234.30,988.29
3,1251.01,988.29
3,1522.49,988.29
3,2624.04,988.29
5,353.24,1169.48
5,581.28,1169.48
5,694.79,1169.48
5,696.66,1169.48
5,740.99,1169.48
5,890.86,1169.48
5,955.61,1169.48
5,1359.61,1169.48
5,1712.35,1169.48
5,1794.66,1169.48
5,2080.16,1169.48
5,2173.58,1169.48
6,644.61,1772.99
6,851.23,1772.99
6,868.62,1772.99
6,1056.06,1772.99
6,1150.40,1772.99
6,1196.50,1772.99
6,1551.15,1772.99
6,2576.64,1772.99
6,2875.54,1772.99
6,3299.70,1772.99
6,3309.13,1772.99
7,638.30,1499.65
7,663.54,1499.65
7,779.65,1499.65
7,800.25,1499.65
7,811.54,1499.65
7,987.78,1499.65
7,1046.24,1499.65
7,1667.92,1499.65
7,2750.32,1499.65
7,2970.80,1499.65
7,3524.00,1499.65
8,803.53,1618.95
8,819.18,1618.95
8,933.76,1618.95
8,944.19,1618.95
8,1019.24,1618.95
8,1159.06,1618.95
8,1290.94,1618.95
8,2168.17,1618.95
8,2264.18,1618.95
8,3033.41,1618.95
8,3213.77,1618.95
9,315.31,1509.97
9,559.82,1509.97
9,728.72,1509.97
9,784.15,1509.97
9,923.36,1509.97
9,933.68,1509.97
9,1239.49,1509.97
9,1848.85,1509.97
9,2172.04,1509.97
9,2178.07,1509.97
9,3165.98,1509.97
9,3270.26,1509.97
10,314.30,1125.25
10,365.57,1125.25
10,591.30,1125.25
10,760.81,1125.25
10,776.91,1125.25
10,959.65,1125.25
10,975.25,1125.25
10,1294.20,1125.25
10,1342.05,1125.25
10,1914.64,1125.25
10,3105.53,1125.25
---- TYPES
INT, DECIMAL, DECIMAL
====

View File

@@ -0,0 +1,144 @@
====
---- QUERY: TPCDS-Q64
-- RESULT MISMATCH FROM ORIGINAL
-- ADDED ORDER BY COLUMNS.
with cs_ui as
(select cs_item_sk
,sum(cs_ext_list_price) as sale,sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit) as refund
from catalog_sales
,catalog_returns
where cs_item_sk = cr_item_sk
and cs_order_number = cr_order_number
group by cs_item_sk
having sum(cs_ext_list_price)>2*sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit)),
cross_sales as
(select i_product_name product_name
,i_item_sk item_sk
,s_store_name store_name
,s_zip store_zip
,ad1.ca_street_number b_street_number
,ad1.ca_street_name b_street_name
,ad1.ca_city b_city
,ad1.ca_zip b_zip
,ad2.ca_street_number c_street_number
,ad2.ca_street_name c_street_name
,ad2.ca_city c_city
,ad2.ca_zip c_zip
,d1.d_year as syear
,d2.d_year as fsyear
,d3.d_year s2year
,count(*) cnt
,sum(ss_wholesale_cost) s1
,sum(ss_list_price) s2
,sum(ss_coupon_amt) s3
FROM store_sales
,store_returns
,cs_ui
,date_dim d1
,date_dim d2
,date_dim d3
,store
,customer
,customer_demographics cd1
,customer_demographics cd2
,promotion
,household_demographics hd1
,household_demographics hd2
,customer_address ad1
,customer_address ad2
,income_band ib1
,income_band ib2
,item
WHERE ss_store_sk = s_store_sk AND
ss_sold_date_sk = d1.d_date_sk AND
ss_customer_sk = c_customer_sk AND
ss_cdemo_sk= cd1.cd_demo_sk AND
ss_hdemo_sk = hd1.hd_demo_sk AND
ss_addr_sk = ad1.ca_address_sk and
ss_item_sk = i_item_sk and
ss_item_sk = sr_item_sk and
ss_ticket_number = sr_ticket_number and
ss_item_sk = cs_ui.cs_item_sk and
c_current_cdemo_sk = cd2.cd_demo_sk AND
c_current_hdemo_sk = hd2.hd_demo_sk AND
c_current_addr_sk = ad2.ca_address_sk and
c_first_sales_date_sk = d2.d_date_sk and
c_first_shipto_date_sk = d3.d_date_sk and
ss_promo_sk = p_promo_sk and
hd1.hd_income_band_sk = ib1.ib_income_band_sk and
hd2.hd_income_band_sk = ib2.ib_income_band_sk and
cd1.cd_marital_status <> cd2.cd_marital_status and
i_color in ('purple','burlywood','indian','spring','floral','medium') and
i_current_price between 64 and 64 + 10 and
i_current_price between 64 + 1 and 64 + 15
group by i_product_name
,i_item_sk
,s_store_name
,s_zip
,ad1.ca_street_number
,ad1.ca_street_name
,ad1.ca_city
,ad1.ca_zip
,ad2.ca_street_number
,ad2.ca_street_name
,ad2.ca_city
,ad2.ca_zip
,d1.d_year
,d2.d_year
,d3.d_year
)
select cs1.product_name
,cs1.store_name
,cs1.store_zip
,cs1.b_street_number
,cs1.b_street_name
,cs1.b_city
,cs1.b_zip
,cs1.c_street_number
,cs1.c_street_name
,cs1.c_city
,cs1.c_zip
,cs1.syear
,cs1.cnt
,cs1.s1 as s11
,cs1.s2 as s21
,cs1.s3 as s31
,cs2.s1 as s12
,cs2.s2 as s22
,cs2.s3 as s32
,cs2.syear
,cs2.cnt
from cross_sales cs1,cross_sales cs2
where cs1.item_sk=cs2.item_sk and
cs1.syear = 1999 and
cs2.syear = 1999 + 1 and
cs2.cnt <= cs1.cnt and
cs1.store_name = cs2.store_name and
cs1.store_zip = cs2.store_zip
order by cs1.product_name
,cs1.store_name
,cs2.cnt
-- Added to fix result ordering
,b_street_number desc
,b_street_name desc
,b_zip desc
,s11 desc
,s21 desc
,s31 desc
,s12 desc
,s22 desc
,s32 desc;
---- RESULTS
'n stableableantiought','able','31904','987','Hillcrest ','Fairbanks','46653','216','3rd ','Reno','40344',1999,1,55.42,80.91,954.53,59.08,76.80,0.00,2000,1
'n stableableantiought','ation','31904','425','Green ','Enterprise','11757','772','Valley ','NULL','NULL',1999,1,16.24,25.17,0.00,44.27,58.43,0.00,2000,1
'n stableableantiought','ation','31904','425','Green ','Enterprise','11757','772','Valley ','NULL','NULL',1999,1,16.24,25.17,0.00,7.92,11.80,0.00,2000,1
'n stableableantiought','ation','31904','316','Valley Tenth','Pine Grove','74593','806','Wilson Main','Jackson','59583',1999,1,49.63,78.41,14.22,44.27,58.43,0.00,2000,1
'n stableableantiought','ation','31904','316','Valley Tenth','Pine Grove','74593','806','Wilson Main','Jackson','59583',1999,1,49.63,78.41,14.22,7.92,11.80,0.00,2000,1
'n stableableantiought','ation','31904','173','Park Maple','Sulphur Springs','68354','232','Franklin ','Fairfield','66192',1999,1,60.78,85.09,0.00,44.27,58.43,0.00,2000,1
'n stableableantiought','ation','31904','173','Park Maple','Sulphur Springs','68354','232','Franklin ','Fairfield','66192',1999,1,60.78,85.09,0.00,7.92,11.80,0.00,2000,1
'n stableableantiought','eing','35709','928','First Oak','Summit','40499','178','Johnson Hillcrest','Oakdale','59584',1999,1,63.82,121.25,0.00,58.19,85.53,0.00,2000,1
'n stableableantiought','eing','35709','928','First Oak','Summit','40499','178','Johnson Hillcrest','Oakdale','59584',1999,1,63.82,121.25,0.00,30.28,49.65,0.00,2000,1
'n stableableantiought','eing','35709','928','First Oak','Summit','40499','178','Johnson Hillcrest','Oakdale','59584',1999,1,63.82,121.25,0.00,10.25,12.09,0.00,2000,1
---- TYPES
STRING, STRING, STRING, STRING, STRING, STRING, STRING, STRING, STRING, STRING, STRING, INT, BIGINT, DECIMAL, DECIMAL, DECIMAL, DECIMAL, DECIMAL, DECIMAL, INT, BIGINT
====

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@@ -0,0 +1,175 @@
====
---- QUERY: TPCDS-Q67A
with results as
( select i_category ,i_class ,i_brand ,i_product_name ,d_year ,d_qoy ,d_moy ,s_store_id
,sum(coalesce(ss_sales_price*ss_quantity,0)) sumsales
from store_sales ,date_dim ,store ,item
where ss_sold_date_sk=d_date_sk
and ss_item_sk=i_item_sk
and ss_store_sk = s_store_sk
and d_month_seq between 1200 and 1200 + 11
group by i_category, i_class, i_brand, i_product_name, d_year, d_qoy, d_moy,s_store_id)
,
results_rollup as
(select i_category, i_class, i_brand, i_product_name, d_year, d_qoy, d_moy, s_store_id, sumsales
from results
union all
select i_category, i_class, i_brand, i_product_name, d_year, d_qoy, d_moy, null s_store_id, sum(sumsales) sumsales
from results
group by i_category, i_class, i_brand, i_product_name, d_year, d_qoy, d_moy
union all
select i_category, i_class, i_brand, i_product_name, d_year, d_qoy, null d_moy, null s_store_id, sum(sumsales) sumsales
from results
group by i_category, i_class, i_brand, i_product_name, d_year, d_qoy
union all
select i_category, i_class, i_brand, i_product_name, d_year, null d_qoy, null d_moy, null s_store_id, sum(sumsales) sumsales
from results
group by i_category, i_class, i_brand, i_product_name, d_year
union all
select i_category, i_class, i_brand, i_product_name, null d_year, null d_qoy, null d_moy, null s_store_id, sum(sumsales) sumsales
from results
group by i_category, i_class, i_brand, i_product_name
union all
select i_category, i_class, i_brand, null i_product_name, null d_year, null d_qoy, null d_moy, null s_store_id, sum(sumsales) sumsales
from results
group by i_category, i_class, i_brand
union all
select i_category, i_class, null i_brand, null i_product_name, null d_year, null d_qoy, null d_moy, null s_store_id, sum(sumsales) sumsales
from results
group by i_category, i_class
union all
select i_category, null i_class, null i_brand, null i_product_name, null d_year, null d_qoy, null d_moy, null s_store_id, sum(sumsales) sumsales
from results
group by i_category
union all
select null i_category, null i_class, null i_brand, null i_product_name, null d_year, null d_qoy, null d_moy, null s_store_id, sum(sumsales) sumsales
from results)
select *
from (select i_category
,i_class
,i_brand
,i_product_name
,d_year
,d_qoy
,d_moy
,s_store_id
,sumsales
,rank() over (partition by i_category order by sumsales desc) rk
from results_rollup) dw2
where rk <= 100
order by i_category
,i_class
,i_brand
,i_product_name
,d_year
,d_qoy
,d_moy
,s_store_id
,sumsales
,rk
limit 100;
---- RESULTS
'Books','arts','amalgmaxi #12','NULL',NULL,NULL,NULL,'NULL',1577322.20,26
'Books','arts','amalgmaxi #2','NULL',NULL,NULL,NULL,'NULL',757558.15,93
'Books','arts','amalgmaxi #3','NULL',NULL,NULL,NULL,'NULL',889848.65,79
'Books','arts','amalgmaxi #9','NULL',NULL,NULL,NULL,'NULL',816219.08,89
'Books','arts','NULL','NULL',NULL,NULL,NULL,'NULL',5188162.15,17
'Books','business','importomaxi #12','NULL',NULL,NULL,NULL,'NULL',1288307.29,42
'Books','business','importomaxi #2','NULL',NULL,NULL,NULL,'NULL',985887.08,68
'Books','business','importomaxi #8','NULL',NULL,NULL,NULL,'NULL',1067725.65,61
'Books','business','importomaxi #9','NULL',NULL,NULL,NULL,'NULL',1269598.91,45
'Books','business','NULL','NULL',NULL,NULL,NULL,'NULL',5905977.34,10
'Books','computers','exportimaxi #12','NULL',NULL,NULL,NULL,'NULL',1456918.73,28
'Books','computers','exportimaxi #2','NULL',NULL,NULL,NULL,'NULL',1626664.04,24
'Books','computers','exportimaxi #3','NULL',NULL,NULL,NULL,'NULL',875667.64,82
'Books','computers','exportimaxi #6','NULL',NULL,NULL,NULL,'NULL',847659.03,86
'Books','computers','exportimaxi #8','NULL',NULL,NULL,NULL,'NULL',1189646.65,49
'Books','computers','exportimaxi #9','NULL',NULL,NULL,NULL,'NULL',1059845.98,63
'Books','computers','NULL','NULL',NULL,NULL,NULL,'NULL',7061536.03,7
'Books','cooking','amalgunivamalg #12','NULL',NULL,NULL,NULL,'NULL',1097730.00,58
'Books','cooking','amalgunivamalg #3','NULL',NULL,NULL,NULL,'NULL',978431.47,69
'Books','cooking','amalgunivamalg #6','NULL',NULL,NULL,NULL,'NULL',858562.34,84
'Books','cooking','amalgunivamalg #8','NULL',NULL,NULL,NULL,'NULL',917692.00,74
'Books','cooking','amalgunivamalg #9','NULL',NULL,NULL,NULL,'NULL',881045.30,80
'Books','cooking','NULL','NULL',NULL,NULL,NULL,'NULL',5357549.49,16
'Books','entertainments','edu packmaxi #12','NULL',NULL,NULL,NULL,'NULL',962267.01,70
'Books','entertainments','edu packmaxi #2','NULL',NULL,NULL,NULL,'NULL',750249.81,94
'Books','entertainments','edu packmaxi #3','NULL',NULL,NULL,NULL,'NULL',1325140.63,39
'Books','entertainments','edu packmaxi #6','NULL',NULL,NULL,NULL,'NULL',874454.87,83
'Books','entertainments','edu packmaxi #8','NULL',NULL,NULL,NULL,'NULL',894416.62,78
'Books','entertainments','NULL','NULL',NULL,NULL,NULL,'NULL',5465761.48,14
'Books','fiction','scholarunivamalg #12','NULL',NULL,NULL,NULL,'NULL',957012.63,71
'Books','fiction','scholarunivamalg #2','NULL',NULL,NULL,NULL,'NULL',1798976.95,20
'Books','fiction','scholarunivamalg #3','NULL',NULL,NULL,NULL,'NULL',1288272.89,43
'Books','fiction','scholarunivamalg #6','NULL',NULL,NULL,NULL,'NULL',1031571.39,65
'Books','fiction','scholarunivamalg #8','NULL',NULL,NULL,NULL,'NULL',1444468.85,30
'Books','fiction','scholarunivamalg #9','NULL',NULL,NULL,NULL,'NULL',1333004.22,38
'Books','fiction','NULL','NULL',NULL,NULL,NULL,'NULL',7867516.44,3
'Books','history','scholarmaxi #12','NULL',NULL,NULL,NULL,'NULL',1407800.96,34
'Books','history','scholarmaxi #2','NULL',NULL,NULL,NULL,'NULL',1601550.87,25
'Books','history','scholarmaxi #3','NULL',NULL,NULL,NULL,'NULL',1181491.20,50
'Books','history','scholarmaxi #6','NULL',NULL,NULL,NULL,'NULL',1175904.65,51
'Books','history','scholarmaxi #8','NULL',NULL,NULL,NULL,'NULL',1205167.13,48
'Books','history','scholarmaxi #9','NULL',NULL,NULL,NULL,'NULL',1873407.99,18
'Books','history','NULL','NULL',NULL,NULL,NULL,'NULL',8458815.11,2
'Books','home repair','importounivamalg #12','NULL',NULL,NULL,NULL,'NULL',929871.46,72
'Books','home repair','importounivamalg #2','NULL',NULL,NULL,NULL,'NULL',1672201.56,22
'Books','home repair','importounivamalg #3','NULL',NULL,NULL,NULL,'NULL',1321000.94,40
'Books','home repair','importounivamalg #6','NULL',NULL,NULL,NULL,'NULL',717528.04,96
'Books','home repair','importounivamalg #8','NULL',NULL,NULL,NULL,'NULL',1669033.95,23
'Books','home repair','importounivamalg #9','NULL',NULL,NULL,NULL,'NULL',1066519.11,62
'Books','home repair','NULL','NULL',NULL,NULL,NULL,'NULL',7388154.74,4
'Books','mystery','corpunivamalg #12','NULL',NULL,NULL,NULL,'NULL',1146116.05,54
'Books','mystery','corpunivamalg #2','NULL',NULL,NULL,NULL,'NULL',747999.99,95
'Books','mystery','corpunivamalg #3','NULL',NULL,NULL,NULL,'NULL',1145257.96,55
'Books','mystery','corpunivamalg #6','NULL',NULL,NULL,NULL,'NULL',1098189.71,57
'Books','mystery','corpunivamalg #8','NULL',NULL,NULL,NULL,'NULL',759890.03,92
'Books','mystery','NULL','NULL',NULL,NULL,NULL,'NULL',5559086.76,13
'Books','parenting','corpmaxi #12','NULL',NULL,NULL,NULL,'NULL',1022503.60,66
'Books','parenting','corpmaxi #2','NULL',NULL,NULL,NULL,'NULL',908607.31,76
'Books','parenting','corpmaxi #6','NULL',NULL,NULL,NULL,'NULL',1717275.15,21
'Books','parenting','corpmaxi #9','NULL',NULL,NULL,NULL,'NULL',895829.36,77
'Books','parenting','NULL','NULL',NULL,NULL,NULL,'NULL',5905648.45,11
'Books','reference','brandmaxi #12','NULL',NULL,NULL,NULL,'NULL',1418372.80,33
'Books','reference','brandmaxi #2','NULL',NULL,NULL,NULL,'NULL',1154379.77,53
'Books','reference','brandmaxi #3','NULL',NULL,NULL,NULL,'NULL',1168210.15,52
'Books','reference','brandmaxi #6','NULL',NULL,NULL,NULL,'NULL',1349780.84,37
'Books','reference','brandmaxi #8','NULL',NULL,NULL,NULL,'NULL',1429502.89,31
'Books','reference','brandmaxi #9','NULL',NULL,NULL,NULL,'NULL',714094.43,97
'Books','reference','NULL','NULL',NULL,NULL,NULL,'NULL',7245435.64,6
'Books','romance','namelessmaxi #12','NULL',NULL,NULL,NULL,'NULL',1356568.45,36
'Books','romance','namelessmaxi #2','NULL',NULL,NULL,NULL,'NULL',1236630.16,47
'Books','romance','namelessmaxi #3','NULL',NULL,NULL,NULL,'NULL',1866764.20,19
'Books','romance','namelessmaxi #6','NULL',NULL,NULL,NULL,'NULL',1086707.92,59
'Books','romance','namelessmaxi #8','NULL',NULL,NULL,NULL,'NULL',825762.40,88
'Books','romance','namelessmaxi #9','NULL',NULL,NULL,NULL,'NULL',876869.83,81
'Books','romance','NULL','NULL',NULL,NULL,NULL,'NULL',7252274.41,5
'Books','science','maximaxi #2','NULL',NULL,NULL,NULL,'NULL',702171.30,98
'Books','science','maximaxi #3','NULL',NULL,NULL,NULL,'NULL',777021.93,90
'Books','science','maximaxi #6','NULL',NULL,NULL,NULL,'NULL',1446589.43,29
'Books','science','maximaxi #8','NULL',NULL,NULL,NULL,'NULL',1004042.04,67
'Books','science','maximaxi #9','NULL',NULL,NULL,NULL,'NULL',849422.20,85
'Books','science','NULL','NULL',NULL,NULL,NULL,'NULL',5359276.19,15
'Books','self-help','exportiunivamalg #2','NULL',NULL,NULL,NULL,'NULL',1283148.53,44
'Books','self-help','exportiunivamalg #3','NULL',NULL,NULL,NULL,'NULL',770181.59,91
'Books','self-help','exportiunivamalg #6','NULL',NULL,NULL,NULL,'NULL',1391623.86,35
'Books','self-help','exportiunivamalg #8','NULL',NULL,NULL,NULL,'NULL',695644.62,100
'Books','self-help','exportiunivamalg #9','NULL',NULL,NULL,NULL,'NULL',1427999.91,32
'Books','self-help','NULL','NULL',NULL,NULL,NULL,'NULL',6261649.72,8
'Books','sports','edu packunivamalg #12','NULL',NULL,NULL,NULL,'NULL',928301.94,73
'Books','sports','edu packunivamalg #6','NULL',NULL,NULL,NULL,'NULL',1503681.79,27
'Books','sports','edu packunivamalg #8','NULL',NULL,NULL,NULL,'NULL',1263974.84,46
'Books','sports','edu packunivamalg #9','NULL',NULL,NULL,NULL,'NULL',840684.29,87
'Books','sports','NULL','NULL',NULL,NULL,NULL,'NULL',5610649.06,12
'Books','travel','univunivamalg #12','NULL',NULL,NULL,NULL,'NULL',1135250.45,56
'Books','travel','univunivamalg #2','NULL',NULL,NULL,NULL,'NULL',1053533.86,64
'Books','travel','univunivamalg #3','NULL',NULL,NULL,NULL,'NULL',1085484.15,60
'Books','travel','univunivamalg #6','NULL',NULL,NULL,NULL,'NULL',696575.97,99
'Books','travel','univunivamalg #8','NULL',NULL,NULL,NULL,'NULL',1310411.80,41
'Books','travel','univunivamalg #9','NULL',NULL,NULL,NULL,'NULL',917487.24,75
'Books','travel','NULL','NULL',NULL,NULL,NULL,'NULL',6200882.35,9
'Books','NULL','NULL','NULL',NULL,NULL,NULL,'NULL',102246971.86,1
---- TYPES
STRING, STRING, STRING, STRING, INT, INT, INT, STRING, DECIMAL, BIGINT
====

View File

@@ -0,0 +1,150 @@
====
---- QUERY: TPCDS-Q69
select
cd_gender,
cd_marital_status,
cd_education_status,
count(*) cnt1,
cd_purchase_estimate,
count(*) cnt2,
cd_credit_rating,
count(*) cnt3
from
customer c,customer_address ca,customer_demographics
where
c.c_current_addr_sk = ca.ca_address_sk and
ca_state in ('KY','GA','NM') and
cd_demo_sk = c.c_current_cdemo_sk and
exists (select *
from store_sales,date_dim
where c.c_customer_sk = ss_customer_sk and
ss_sold_date_sk = d_date_sk and
d_year = 2001 and
d_moy between 4 and 4+2) and
(not exists (select *
from web_sales,date_dim
where c.c_customer_sk = ws_bill_customer_sk and
ws_sold_date_sk = d_date_sk and
d_year = 2001 and
d_moy between 4 and 4+2) and
not exists (select *
from catalog_sales,date_dim
where c.c_customer_sk = cs_ship_customer_sk and
cs_sold_date_sk = d_date_sk and
d_year = 2001 and
d_moy between 4 and 4+2))
group by cd_gender,
cd_marital_status,
cd_education_status,
cd_purchase_estimate,
cd_credit_rating
order by cd_gender,
cd_marital_status,
cd_education_status,
cd_purchase_estimate,
cd_credit_rating
limit 100;
---- RESULTS
'F','D','2 yr Degree',1,2500,1,'Low Risk',1
'F','D','2 yr Degree',1,4500,1,'Good',1
'F','D','2 yr Degree',2,4500,2,'Low Risk',2
'F','D','2 yr Degree',1,9000,1,'Good',1
'F','D','2 yr Degree',1,9500,1,'Good',1
'F','D','4 yr Degree',1,1000,1,'Low Risk',1
'F','D','4 yr Degree',1,1500,1,'Low Risk',1
'F','D','4 yr Degree',1,1500,1,'Unknown',1
'F','D','4 yr Degree',1,2000,1,'Good',1
'F','D','4 yr Degree',1,2500,1,'Unknown',1
'F','D','4 yr Degree',1,4000,1,'Unknown',1
'F','D','4 yr Degree',1,5500,1,'Good',1
'F','D','4 yr Degree',1,7000,1,'Good',1
'F','D','4 yr Degree',1,7000,1,'High Risk',1
'F','D','4 yr Degree',1,8000,1,'High Risk',1
'F','D','4 yr Degree',1,8500,1,'Unknown',1
'F','D','Advanced Degree',1,1000,1,'Good',1
'F','D','Advanced Degree',1,3500,1,'Good',1
'F','D','Advanced Degree',1,3500,1,'High Risk',1
'F','D','Advanced Degree',1,4000,1,'High Risk',1
'F','D','Advanced Degree',1,5000,1,'High Risk',1
'F','D','Advanced Degree',1,5500,1,'Good',1
'F','D','Advanced Degree',1,5500,1,'Low Risk',1
'F','D','Advanced Degree',1,6500,1,'Low Risk',1
'F','D','Advanced Degree',1,7000,1,'High Risk',1
'F','D','Advanced Degree',1,8000,1,'Low Risk',1
'F','D','Advanced Degree',1,8500,1,'High Risk',1
'F','D','Advanced Degree',1,9500,1,'Low Risk',1
'F','D','Advanced Degree',1,9500,1,'Unknown',1
'F','D','Advanced Degree',1,10000,1,'Low Risk',1
'F','D','College',1,1500,1,'Low Risk',1
'F','D','College',1,2500,1,'Good',1
'F','D','College',1,4000,1,'High Risk',1
'F','D','College',1,6000,1,'Good',1
'F','D','College',1,6000,1,'High Risk',1
'F','D','College',1,9000,1,'High Risk',1
'F','D','Primary',1,3000,1,'High Risk',1
'F','D','Primary',1,4000,1,'Low Risk',1
'F','D','Primary',1,4000,1,'Unknown',1
'F','D','Primary',1,4500,1,'Unknown',1
'F','D','Primary',1,5000,1,'High Risk',1
'F','D','Primary',1,5000,1,'Unknown',1
'F','D','Primary',1,6000,1,'Good',1
'F','D','Primary',1,6000,1,'Unknown',1
'F','D','Primary',1,8500,1,'Unknown',1
'F','D','Primary',1,9000,1,'Unknown',1
'F','D','Primary',1,9500,1,'High Risk',1
'F','D','Primary',1,9500,1,'Unknown',1
'F','D','Primary',1,10000,1,'Good',1
'F','D','Primary',2,10000,2,'Low Risk',2
'F','D','Secondary',1,500,1,'Low Risk',1
'F','D','Secondary',1,1000,1,'High Risk',1
'F','D','Secondary',1,3000,1,'Good',1
'F','D','Secondary',1,3500,1,'Good',1
'F','D','Secondary',1,6000,1,'Low Risk',1
'F','D','Secondary',1,6500,1,'Unknown',1
'F','D','Secondary',1,8500,1,'High Risk',1
'F','D','Secondary',1,10000,1,'Low Risk',1
'F','D','Unknown',1,1500,1,'High Risk',1
'F','D','Unknown',1,3000,1,'Good',1
'F','D','Unknown',1,3000,1,'High Risk',1
'F','D','Unknown',1,6000,1,'Good',1
'F','D','Unknown',1,6500,1,'High Risk',1
'F','D','Unknown',2,8000,2,'Low Risk',2
'F','D','Unknown',1,10000,1,'Unknown',1
'F','M','2 yr Degree',1,2500,1,'Low Risk',1
'F','M','2 yr Degree',3,4000,3,'Unknown',3
'F','M','2 yr Degree',1,4500,1,'Low Risk',1
'F','M','2 yr Degree',1,8500,1,'High Risk',1
'F','M','4 yr Degree',1,1000,1,'Good',1
'F','M','4 yr Degree',1,1500,1,'Good',1
'F','M','4 yr Degree',1,4000,1,'Low Risk',1
'F','M','4 yr Degree',1,4000,1,'Unknown',1
'F','M','4 yr Degree',1,5000,1,'Unknown',1
'F','M','4 yr Degree',1,5500,1,'Low Risk',1
'F','M','4 yr Degree',1,6000,1,'Good',1
'F','M','4 yr Degree',1,8000,1,'High Risk',1
'F','M','Advanced Degree',1,500,1,'Low Risk',1
'F','M','Advanced Degree',1,500,1,'Unknown',1
'F','M','Advanced Degree',1,2500,1,'Good',1
'F','M','Advanced Degree',1,3500,1,'High Risk',1
'F','M','Advanced Degree',2,5500,2,'Unknown',2
'F','M','Advanced Degree',1,6500,1,'Good',1
'F','M','Advanced Degree',1,6500,1,'Unknown',1
'F','M','Advanced Degree',1,8000,1,'Low Risk',1
'F','M','Advanced Degree',1,9500,1,'Good',1
'F','M','Advanced Degree',1,10000,1,'Low Risk',1
'F','M','College',1,1000,1,'Unknown',1
'F','M','College',1,3000,1,'Good',1
'F','M','College',2,5000,2,'High Risk',2
'F','M','College',1,6000,1,'Low Risk',1
'F','M','College',1,7000,1,'High Risk',1
'F','M','College',1,8000,1,'Good',1
'F','M','College',1,9000,1,'Good',1
'F','M','College',2,9000,2,'High Risk',2
'F','M','College',1,9500,1,'High Risk',1
'F','M','College',1,10000,1,'High Risk',1
'F','M','Primary',1,1000,1,'Low Risk',1
'F','M','Primary',1,1500,1,'High Risk',1
'F','M','Primary',1,7000,1,'Good',1
---- TYPES
STRING, STRING, STRING, BIGINT, INT, BIGINT, STRING, BIGINT
====

View File

@@ -0,0 +1,49 @@
====
---- QUERY: TPCDS-Q70A
with results as
( select
sum(ss_net_profit) as total_sum ,s_state ,s_county, 0 as gstate, 0 as g_county
from
store_sales
,date_dim d1
,store
where
d1.d_month_seq between 1200 and 1200 + 11
and d1.d_date_sk = ss_sold_date_sk
and s_store_sk = ss_store_sk
and s_state in
( select s_state
from (select s_state as s_state,
rank() over ( partition by s_state order by sum(ss_net_profit) desc) as ranking
from store_sales, store, date_dim
where d_month_seq between 1200 and 1200 + 11
and d_date_sk = ss_sold_date_sk
and s_store_sk = ss_store_sk
group by s_state
) tmp1
where ranking <= 5)
group by s_state,s_county) ,
results_rollup as
(select total_sum ,s_state ,s_county, 0 as g_state, 0 as g_county, 0 as lochierarchy from results
union
select sum(total_sum) as total_sum,s_state, NULL as s_county, 0 as g_state, 1 as g_county, 1 as lochierarchy from results group by s_state
union
select sum(total_sum) as total_sum ,NULL as s_state ,NULL as s_county, 1 as g_state, 1 as g_county, 2 as lochierarchy from results)
select total_sum ,s_state ,s_county, lochierarchy
,rank() over (
partition by lochierarchy,
case when g_county = 0 then s_state end
order by total_sum desc) as rank_within_parent
from results_rollup
order by
lochierarchy desc
,case when lochierarchy = 0 then s_state end
,rank_within_parent
limit 100;
---- RESULTS
-440986113.22,'NULL','NULL',2,1
-440986113.22,'TN','NULL',1,1
-440986113.22,'TN','Williamson County',0,1
---- TYPES
DECIMAL, STRING, STRING, TINYINT, BIGINT
====

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====
---- QUERY: TPCDS-Q72
select i_item_desc
,w_warehouse_name
,d1.d_week_seq
,sum(case when p_promo_sk is null then 1 else 0 end) no_promo
,sum(case when p_promo_sk is not null then 1 else 0 end) promo
,count(*) total_cnt
from catalog_sales
join inventory on (cs_item_sk = inv_item_sk)
join warehouse on (w_warehouse_sk=inv_warehouse_sk)
join item on (i_item_sk = cs_item_sk)
join customer_demographics on (cs_bill_cdemo_sk = cd_demo_sk)
join household_demographics on (cs_bill_hdemo_sk = hd_demo_sk)
join date_dim d1 on (cs_sold_date_sk = d1.d_date_sk)
join date_dim d2 on (inv_date_sk = d2.d_date_sk)
join date_dim d3 on (cs_ship_date_sk = d3.d_date_sk)
left outer join promotion on (cs_promo_sk=p_promo_sk)
left outer join catalog_returns on (cr_item_sk = cs_item_sk and cr_order_number = cs_order_number)
where d1.d_week_seq = d2.d_week_seq
and inv_quantity_on_hand < cs_quantity
and cast(d3.d_date as timestamp) > (cast(d1.d_date as timestamp) + interval 5 days)
and hd_buy_potential = '>10000'
and d1.d_year = 1999
and cd_marital_status = 'D'
group by i_item_desc,w_warehouse_name,d1.d_week_seq
order by total_cnt desc, i_item_desc, w_warehouse_name, d_week_seq
limit 100;
---- RESULTS
'Best possible ages tell together new, st','Conventional childr',5213,0,2,2
'Closed, good condition','Doors canno',5169,0,2,2
'Departments make once again police. Very acceptable results call still extended, known ends; relationships shoot strangely. Acids shall discharge in order ethnic, ric','NULL',5168,0,2,2
'Futures should enjoy able galleries. Late blue tickets pass longer urgently dead types. Shoulders will see rigidly institutions. Other con','Conventional childr',5210,0,2,2
'Good, open studies dream more; industrial, social organisations could understand recently quick tall theories. Lines must answer functions; subtle factor','Important issues liv',5214,0,2,2
'Hard sudden aspects shall not commemorate about a functions. Western, british cases see here churches. Stairs a','Doors canno',5212,0,2,2
'High, essential groups should not weigh more other years; there different papers could announce; large departments c','Important issues liv',5198,0,2,2
'Just young partie','Important issues liv',5213,0,2,2
'Levels undermine unfortunately efficient weeks','NULL',5210,0,2,2
'New, full rises drive however. Legs retain often in a women. Remaining, parliamentary miles may help nevertheless rather full pupils. Glad crimes might','Bad cards must make.',5217,0,2,2
'Provisions go too. Sad others contain italian branches. Keys k','Bad cards must make.',5213,0,2,2
'Provisions go too. Sad others contain italian branches. Keys k','Doors canno',5213,0,2,2
'Shortly desperate nat','Conventional childr',5210,0,2,2
'True tears continue currently pale, close men. Soon medical numbers might not take other, ','Important issues liv',5199,0,2,2
'White employees name; figures feed sure. Speeches can achieve. Extremely final seats may exist too all religious studies. Medite','Bad cards must make.',5168,0,2,2
'Words use up a documents. Collections may','Conventional childr',5168,0,2,2
'Words use up a documents. Collections may','Important issues liv',5168,0,2,2
'A little average flames ought to break old, unique men. Things select often red, economic others. Hands will lift sufficiently; german, proper sections worry perhaps for the po','NULL',5212,0,1,1
'Abilities would not require almost; local','Bad cards must make.',5197,0,1,1
'Able','Conventional childr',5177,0,1,1
'Able hands help however inevitable policemen. Far true matters will not forgive never hands. Absolutely french events stop now. Well able procedures unde','Conventional childr',5195,0,1,1
'Able hands help however inevitable policemen. Far true matters will not forgive never hands. Absolutely french events stop now. Well able procedures unde','Doors canno',5195,0,1,1
'Able, alternative police shall not give so other complaints. There complex ','NULL',5212,0,1,1
'Able, long mammals can want new, serious years. Questions would not cope again mainly unable contributions. Less responsible shelves lose records; leading, similar ','Important issues liv',5170,0,1,1
'Able, main parties think really. Resources arrive only independent, old representations. Small, double advantages ','Doors canno',5213,0,1,1
'Able, main parties think really. Resources arrive only independent, old representations. Small, double advantages ','Important issues liv',5180,0,1,1
'About international concentrations could avoid then alone apparent activities; inadequate, mediterranean days get eve','Important issues liv',5215,0,1,1
'About natural economie','Bad cards must make.',5202,0,1,1
'About other levels should proceed certainly fine, severe facts.','Important issues liv',5210,0,1,1
'About working feelings could produce only types. Electoral, new visitors will not make more afraid, large tr','NULL',5197,0,1,1
'Absolutely','Bad cards must make.',5203,0,1,1
'Absolutely','Doors canno',5203,0,1,1
'Absolutely ','NULL',5206,0,1,1
'Absolutely front men turn spatial hours. Good, free sales used to marry outside appropriate ships. Noble men sa','NULL',5207,0,1,1
'Absolutely old payments will b','Doors canno',5216,0,1,1
'Accused men cannot increase e','Important issues liv',5207,0,1,1
'Acids grab below previous standards. Ever large metals will come on a articles. Underlying stories protect at last. Reasonable directions believe rather due to a','Bad cards must make.',5169,0,1,1
'Active plants need necessary, widespread roads. Best back visits hold regularly fresh friend','Conventional childr',5209,0,1,1
'Active plants need necessary, widespread roads. Best back visits hold regularly fresh friend','NULL',5209,0,1,1
'Active windows shall not find small, relig','Conventional childr',5203,0,1,1
'Actively different proceedings light yet so similar houses. Good circumstances shall not take only levels. Then moral pounds will clean very only national organisations. ','NULL',5183,0,1,1
'Activities say. Right lips resort current techniques. Regional, possible daughters might not present changes; students can notice ridiculous, l','Conventional childr',5192,0,1,1
'Acts','Bad cards must make.',5218,0,1,1
'Acts','Conventional childr',5218,0,1,1
'Actual, grey hands giv','NULL',5214,0,1,1
'Acute, important performances afford. New, nuclear men used to assess again small results.','NULL',5187,0,1,1
'Added, similar grounds spend also concrete terms. Fellow, mass','Important issues liv',5206,0,1,1
'Additional, terrible characters shall examine. Ago lexical conditions get into a weeks. Barely trying results perform still hot men. Great kinds end also committees. Police should live only on the ','Doors canno',5216,0,1,1
'Additional, terrible characters shall examine. Ago lexical conditions get into a weeks. Barely trying results perform still hot men. Great kinds end also committees. Police should live only on the ','Important issues liv',5214,0,1,1
'Adequate things reassure unknown legs. Old, possible bishops shall locate else during a companies; bitter, alone ','Bad cards must make.',5206,0,1,1
'Adequately unemployed aspects ought to keep on a years. Years get somewhere sometimes late examples; laws must shape determined stones. Recently real decisions may cost now other female thousands. ','Conventional childr',5214,0,1,1
'Adequately unemployed aspects ought to keep on a years. Years get somewhere sometimes late examples; laws must shape determined stones. Recently real decisions may cost now other female thousands. ','Important issues liv',5214,0,1,1
'Adults throw close recent women. Orange, guilty libraries let earnings. Initiatives ought to walk. Simple, successful states might work eventually full orders. Formerly very ','Bad cards must make.',5206,0,1,1
'Adults throw close recent women. Orange, guilty libraries let earnings. Initiatives ought to walk. Simple, successful states might work eventually full orders. Formerly very ','NULL',5206,0,1,1
'Advanced, certain fields miss electronically for the books. Open measures match therefore s','Doors canno',5196,0,1,1
'Advanced, certain fields miss electronically for the books. Open measures match therefore s','Important issues liv',5210,0,1,1
'Advantages go small. Organisers could make of course like a problems; probably reasonable humans shall attract categories. Agencies will enable much heavy matters. Stair','Doors canno',5186,0,1,1
'Advantages go small. Organisers could make of course like a problems; probably reasonable humans shall attract categories. Agencies will enable much heavy matters. Stair','Important issues liv',5186,0,1,1
'Advantages go small. Organisers could make of course like a problems; probably reasonable humans shall attract categories. Agencies will enable much heavy matters. Stair','NULL',5206,0,1,1
'Afraid years suspend much building','NULL',5171,0,1,1
'Afraid, grey officers mean costly institutions. Societi','Conventional childr',5199,0,1,1
'Afraid, old meals will get chronic, strong applicants. Arms could look with a needs. Hence wor','Important issues liv',5210,0,1,1
'Afraid, southern problems need according to a dec','Conventional childr',5207,0,1,1
'Afraid, southern problems need according to a dec','Important issues liv',5207,0,1,1
'Again available bags breathe good circumstances. Thus final cases must ','Bad cards must make.',5214,0,1,1
'Again available bags breathe good circumstances. Thus final cases must ','Conventional childr',5218,0,1,1
'Again judicial colours may blame fully british strange groups. Rules shall cover probably participants. W','NULL',5214,0,1,1
'Again small deaths could flou','Bad cards must make.',5175,0,1,1
'Agencies shall not consider false in a others. Obviously interesting authorities come anyway men. Small, ','Important issues liv',5206,0,1,1
'Agents see companies. Weekly clergy might not enable always mere studies. Men throw possible relations. Then static rights wr','Conventional childr',5209,0,1,1
'Ago foreign writings leave; even considerable artists let fully then minimal workers. Clear ministers keep. Specifically dry men increase central tests. Living, alternative meanings ought','Important issues liv',5180,0,1,1
'Ago regional objects finish courts. Large, serio','Bad cards must make.',5187,0,1,1
'Agricultural, difficult engines marry according to the things; instances shall not go however quietly statutory images. Still sharp patients work no doubt producers. Magazines ','Doors canno',5210,0,1,1
'Agricultural, selective groups follow much worthwhile panels. Fully sim','Bad cards must make.',5207,0,1,1
'Aims play already','Doors canno',5198,0,1,1
'Al','NULL',5167,0,1,1
'All ','Bad cards must make.',5175,0,1,1
'All ','Important issues liv',5210,0,1,1
'All numerous reasons explain upper teachers; necessary, inte','Bad cards must make.',5181,0,1,1
'All realistic employees should attempt all only expert parties. Complete days cannot come as possible rules. Normal candidates would not pay there improved, o','Doors canno',5204,0,1,1
'All right deliberate difficulties wait still between a seats; final, actual jobs may mee','Bad cards must make.',5212,0,1,1
'All right deliberate difficulties wait still between a seats; final, actual jobs may mee','Conventional childr',5174,0,1,1
'All right used men must demand. Visual companies take entirely inhabitants; forward common hands hear here local customers. So traditional questions shal','Doors canno',5188,0,1,1
'Alm','Important issues liv',5204,0,1,1
'Almost armed animals will maintain always pure, professional days; differe','Conventional childr',5175,0,1,1
'Almost armed animals will maintain always pure, professional days; differe','Doors canno',5175,0,1,1
'Almost armed animals will maintain always pure, professional days; differe','Important issues liv',5175,0,1,1
'Almost low provisions suggest to','Conventional childr',5211,0,1,1
'Almost separate f','Bad cards must make.',5215,0,1,1
'Almost separate f','NULL',5215,0,1,1
'Alone days must undertake children; pages will face cases. Days fit especially black standards. Certain, involved numbers may not intend high, ','Conventional childr',5176,0,1,1
'Alone relevant nights pretend so complete years. Currently new unions make horizontally bills. Most political troops could give most possible, australian elements; flowers shall recall most pop','Important issues liv',5212,0,1,1
'Alone working-class dates open from a issues. Most european concessions will not tell personal areas; central, poor officials might not act ','Doors canno',5197,0,1,1
'Alone, small conditions get either likely companies. Inner, long-term patients make hot rebels. Procedures see fi','Important issues liv',5215,0,1,1
'Already european mothers ought to impose big ever fixed parents. Dominant groups say even. Here basic weeks set as winners. Modern, young prayers release very environ','Doors canno',5215,0,1,1
'Also f','Doors canno',5192,0,1,1
'Also good subjects cannot clean then then difficult gaps. Good, sorry methods divert perhaps. Whit','Bad cards must make.',5211,0,1,1
'Also public waves will not bomb yesterday methods. Eyes ','NULL',5183,0,1,1
'Also real details used to travel for the articles. A bit anonymous factors aim there early, clean standards. Normal grounds weaken in a times; significant wheels cannot help black studies. Right l','Important issues liv',5199,0,1,1
'Also silent nurses find also fully mental priorities. Savings shall bring naturally silent e','Conventional childr',5168,0,1,1
---- TYPES
STRING, STRING, INT, BIGINT, BIGINT, BIGINT
====

View File

@@ -0,0 +1,156 @@
====
---- QUERY: TPCDS-Q74
with year_total as (
select c_customer_id customer_id
,c_first_name customer_first_name
,c_last_name customer_last_name
,d_year as year
,sum(ss_net_paid) year_total
,'s' sale_type
from customer
,store_sales
,date_dim
where c_customer_sk = ss_customer_sk
and ss_sold_date_sk = d_date_sk
and d_year in (2001,2001+1)
group by c_customer_id
,c_first_name
,c_last_name
,d_year
union all
select c_customer_id customer_id
,c_first_name customer_first_name
,c_last_name customer_last_name
,d_year as year
,sum(ws_net_paid) year_total
,'w' sale_type
from customer
,web_sales
,date_dim
where c_customer_sk = ws_bill_customer_sk
and ws_sold_date_sk = d_date_sk
and d_year in (2001,2001+1)
group by c_customer_id
,c_first_name
,c_last_name
,d_year
)
select
t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name
from year_total t_s_firstyear
,year_total t_s_secyear
,year_total t_w_firstyear
,year_total t_w_secyear
where t_s_secyear.customer_id = t_s_firstyear.customer_id
and t_s_firstyear.customer_id = t_w_secyear.customer_id
and t_s_firstyear.customer_id = t_w_firstyear.customer_id
and t_s_firstyear.sale_type = 's'
and t_w_firstyear.sale_type = 'w'
and t_s_secyear.sale_type = 's'
and t_w_secyear.sale_type = 'w'
and t_s_firstyear.year = 2001
and t_s_secyear.year = 2001+1
and t_w_firstyear.year = 2001
and t_w_secyear.year = 2001+1
and t_s_firstyear.year_total > 0
and t_w_firstyear.year_total > 0
and case when t_w_firstyear.year_total > 0 then t_w_secyear.year_total / t_w_firstyear.year_total else null end
> case when t_s_firstyear.year_total > 0 then t_s_secyear.year_total / t_s_firstyear.year_total else null end
order by 1,1,1
limit 100;
---- RESULTS
'AAAAAAAAAMGDAAAA','Kenneth','Harlan'
'AAAAAAAAANFAAAAA','Philip','Banks'
'AAAAAAAAAOPFBAAA','Jerry','Fields'
'AAAAAAAABLEIBAAA','Paula','Wakefield'
'AAAAAAAABNBBAAAA','Irma','Smith'
'AAAAAAAACADPAAAA','Cristobal','Thomas'
'AAAAAAAACFCGBAAA','Marcus','Sanders'
'AAAAAAAACFENAAAA','Christopher','Dawson'
'AAAAAAAACIJMAAAA','Elizabeth','Thomas'
'AAAAAAAACJDIAAAA','James','Kerr'
'AAAAAAAACNAGBAAA','Virginia','May'
'AAAAAAAADBEFBAAA','Bennie','Bowers'
'AAAAAAAADCKOAAAA','Robert','Gonzalez'
'AAAAAAAADFIEBAAA','John','Gray'
'AAAAAAAADFKABAAA','Latoya','Craft'
'AAAAAAAADIIOAAAA','David','Carroll'
'AAAAAAAADIJGBAAA','Ruth','Sanders'
'AAAAAAAADLHBBAAA','Henry','Bertrand'
'AAAAAAAAEADJAAAA','Ruth','Carroll'
'AAAAAAAAEJDLAAAA','Alice','Wright'
'AAAAAAAAEKFPAAAA','Annika','Chin'
'AAAAAAAAEKJLAAAA','Aisha','Carlson'
'AAAAAAAAEOAKAAAA','Molly','Benjamin'
'AAAAAAAAEPOGAAAA','Felisha','Mendes'
'AAAAAAAAFACEAAAA','Priscilla','Miller'
'AAAAAAAAFBAHAAAA','Michael','Williams'
'AAAAAAAAFGIGAAAA','Eduardo','Miller'
'AAAAAAAAFGPGAAAA','Albert','Wadsworth'
'AAAAAAAAFHACBAAA','NULL','NULL'
'AAAAAAAAFJHFAAAA','Larissa','Roy'
'AAAAAAAAFMHIAAAA','Emilio','Darling'
'AAAAAAAAFOGIAAAA','Michelle','Greene'
'AAAAAAAAFOJAAAAA','Don','Castillo'
'AAAAAAAAGEHIAAAA','Tyler','Miller'
'AAAAAAAAGFMDBAAA','Kathleen','Gibson'
'AAAAAAAAGHPBBAAA','Nick','Mendez'
'AAAAAAAAGNDAAAAA','Terry','Mcdowell'
'AAAAAAAAHGOABAAA','Sonia','White'
'AAAAAAAAHHCABAAA','William','Stewart'
'AAAAAAAAHJLAAAAA','Audrey','Beltran'
'AAAAAAAAHMJNAAAA','Ryan','Baptiste'
'AAAAAAAAHMOIAAAA','Grace','Henderson'
'AAAAAAAAHNFHAAAA','Rebecca','Wilson'
'AAAAAAAAIADEBAAA','Diane','Aldridge'
'AAAAAAAAIBAEBAAA','Sandra','Wilson'
'AAAAAAAAIBFCBAAA','Ruth','Grantham'
'AAAAAAAAIBHHAAAA','Jennifer','Ballard'
'AAAAAAAAICHFAAAA','Linda','Mccoy'
'AAAAAAAAIDKFAAAA','Michael','Mack'
'AAAAAAAAIJEMAAAA','Charlie','Cummings'
'AAAAAAAAIMHBAAAA','Kathy','Knowles'
'AAAAAAAAIMHHBAAA','Lillian','Davidson'
'AAAAAAAAJEKFBAAA','Norma','Burkholder'
'AAAAAAAAJGMMAAAA','Richard','Larson'
'AAAAAAAAJIALAAAA','Santos','Gutierrez'
'AAAAAAAAJKBNAAAA','Julie','Kern'
'AAAAAAAAJONHBAAA','Warren','Orozco'
'AAAAAAAAKAECAAAA','Milton','Mackey'
'AAAAAAAAKBCABAAA','Debra','Bell'
'AAAAAAAAKJBKAAAA','Georgia','Scott'
'AAAAAAAAKJBLAAAA','Kerry','Davis'
'AAAAAAAAKKGEAAAA','Katie','Dunbar'
'AAAAAAAAKLHHBAAA','Manuel','Castaneda'
'AAAAAAAAKNAKAAAA','Gladys','Banks'
'AAAAAAAAKOJJAAAA','Gracie','Mendoza'
'AAAAAAAALFKKAAAA','Ignacio','Miller'
'AAAAAAAALHMCAAAA','Brooke','Nelson'
'AAAAAAAALIOPAAAA','Derek','Allen'
'AAAAAAAALJNCBAAA','George','Gamez'
'AAAAAAAAMDCAAAAA','Louann','Hamel'
'AAAAAAAAMFFLAAAA','Margret','Gray'
'AAAAAAAAMMOBBAAA','Margaret','Smith'
'AAAAAAAANFBDBAAA','Vernice','Fernandez'
'AAAAAAAANGDBBAAA','Carlos','Jewell'
'AAAAAAAANIPLAAAA','Eric','Lawrence'
'AAAAAAAANJAGAAAA','Allen','Hood'
'AAAAAAAANJHCBAAA','Christopher','Schreiber'
'AAAAAAAAOBADBAAA','Elizabeth','Burnham'
'AAAAAAAAOCAJAAAA','Jenna','Staton'
'AAAAAAAAOCDJAAAA','Nina','Sanchez'
'AAAAAAAAOCICAAAA','Zachary','Pennington'
'AAAAAAAAOCLBBAAA','NULL','NULL'
'AAAAAAAAOFLCAAAA','James','Taylor'
'AAAAAAAAOPDLAAAA','Ann','Pence'
'AAAAAAAAPDFBAAAA','Terrance','Banks'
'AAAAAAAAPEHEBAAA','Edith','Molina'
'AAAAAAAAPFCLAAAA','Felicia','Neville'
'AAAAAAAAPJENAAAA','Ashley','Norton'
'AAAAAAAAPKBCBAAA','Andrea','White'
'AAAAAAAAPKIKAAAA','Wendy','Horvath'
'AAAAAAAAPMMBBAAA','Paul','Jordan'
'AAAAAAAAPPIBBAAA','Candice','Lee'
---- TYPES
STRING, STRING, STRING
====

View File

@@ -0,0 +1,173 @@
====
---- QUERY: TPCDS-Q75
WITH all_sales AS (
SELECT d_year
,i_brand_id
,i_class_id
,i_category_id
,i_manufact_id
,SUM(sales_cnt) AS sales_cnt
,SUM(sales_amt) AS sales_amt
FROM (SELECT d_year
,i_brand_id
,i_class_id
,i_category_id
,i_manufact_id
,cs_quantity - COALESCE(cr_return_quantity,0) AS sales_cnt
,cs_ext_sales_price - COALESCE(cr_return_amount,0.0) AS sales_amt
FROM catalog_sales JOIN item ON i_item_sk=cs_item_sk
JOIN date_dim ON d_date_sk=cs_sold_date_sk
LEFT JOIN catalog_returns ON (cs_order_number=cr_order_number
AND cs_item_sk=cr_item_sk)
WHERE i_category='Books'
UNION
SELECT d_year
,i_brand_id
,i_class_id
,i_category_id
,i_manufact_id
,ss_quantity - COALESCE(sr_return_quantity,0) AS sales_cnt
,ss_ext_sales_price - COALESCE(sr_return_amt,0.0) AS sales_amt
FROM store_sales JOIN item ON i_item_sk=ss_item_sk
JOIN date_dim ON d_date_sk=ss_sold_date_sk
LEFT JOIN store_returns ON (ss_ticket_number=sr_ticket_number
AND ss_item_sk=sr_item_sk)
WHERE i_category='Books'
UNION
SELECT d_year
,i_brand_id
,i_class_id
,i_category_id
,i_manufact_id
,ws_quantity - COALESCE(wr_return_quantity,0) AS sales_cnt
,ws_ext_sales_price - COALESCE(wr_return_amt,0.0) AS sales_amt
FROM web_sales JOIN item ON i_item_sk=ws_item_sk
JOIN date_dim ON d_date_sk=ws_sold_date_sk
LEFT JOIN web_returns ON (ws_order_number=wr_order_number
AND ws_item_sk=wr_item_sk)
WHERE i_category='Books') sales_detail
GROUP BY d_year, i_brand_id, i_class_id, i_category_id, i_manufact_id)
SELECT prev_yr.d_year AS prev_year
,curr_yr.d_year AS year
,curr_yr.i_brand_id
,curr_yr.i_class_id
,curr_yr.i_category_id
,curr_yr.i_manufact_id
,prev_yr.sales_cnt AS prev_yr_cnt
,curr_yr.sales_cnt AS curr_yr_cnt
,curr_yr.sales_cnt-prev_yr.sales_cnt AS sales_cnt_diff
,curr_yr.sales_amt-prev_yr.sales_amt AS sales_amt_diff
FROM all_sales curr_yr, all_sales prev_yr
WHERE curr_yr.i_brand_id=prev_yr.i_brand_id
AND curr_yr.i_class_id=prev_yr.i_class_id
AND curr_yr.i_category_id=prev_yr.i_category_id
AND curr_yr.i_manufact_id=prev_yr.i_manufact_id
AND curr_yr.d_year=2002
AND prev_yr.d_year=2002-1
AND CAST(curr_yr.sales_cnt AS DECIMAL(17,2))/CAST(prev_yr.sales_cnt AS DECIMAL(17,2))<0.9
ORDER BY sales_cnt_diff, sales_amt_diff
limit 100;
---- RESULTS
2001,2002,9011004,11,9,730,6136,3927,-2209,-64592.86
2001,2002,9004008,4,9,454,6130,4012,-2118,-137401.99
2001,2002,9006010,6,9,373,6584,4510,-2074,-56824.27
2001,2002,9003002,3,9,331,6314,4249,-2065,-162310.87
2001,2002,9016002,16,9,761,6098,4109,-1989,-75674.23
2001,2002,2001001,7,9,85,5689,3750,-1939,-79485.07
2001,2002,9011010,11,9,254,6635,4698,-1937,-108841.59
2001,2002,9003002,3,9,1000,6152,4220,-1932,-51341.52
2001,2002,9009010,1,9,311,6980,5065,-1915,-166624.10
2001,2002,9003004,3,9,25,6382,4612,-1770,-109080.80
2001,2002,9008008,8,9,322,5391,3664,-1727,-58283.91
2001,2002,3004001,1,9,89,6307,4616,-1691,-105539.10
2001,2002,9014004,12,9,423,6427,4742,-1685,-66528.45
2001,2002,1001001,5,9,172,5642,3998,-1644,-65808.52
2001,2002,8007009,9,9,322,5493,3906,-1587,-31458.78
2001,2002,9015002,15,9,303,5722,4211,-1511,-81847.95
2001,2002,8015003,4,9,289,6413,4905,-1508,-140884.23
2001,2002,9002008,2,9,202,5758,4287,-1471,-27415.18
2001,2002,9004002,4,9,55,5596,4196,-1400,-277.92
2001,2002,9010002,10,9,432,5153,3767,-1386,-56643.31
2001,2002,9015003,15,9,278,5120,3745,-1375,-61503.40
2001,2002,5001001,10,9,136,5271,3918,-1353,-52691.74
2001,2002,9007002,7,9,207,6416,5088,-1328,-28312.29
2001,2002,9016004,8,9,114,5560,4263,-1297,-65169.90
2001,2002,9007004,7,9,968,5625,4330,-1295,-86120.30
2001,2002,9008008,8,9,535,6155,4861,-1294,-66647.47
2001,2002,3003001,1,9,175,6170,4892,-1278,-72260.64
2001,2002,9010004,3,9,948,5640,4387,-1253,-34985.51
2001,2002,9012008,12,9,249,5254,4002,-1252,-15484.88
2001,2002,9015008,15,9,281,5558,4315,-1243,10022.91
2001,2002,9006004,6,9,620,4822,3594,-1228,-19309.88
2001,2002,9010008,10,9,171,6500,5279,-1221,-73654.23
2001,2002,9004008,4,9,256,5366,4164,-1202,-93628.46
2001,2002,9008008,8,9,82,6042,4852,-1190,-78558.05
2001,2002,9014010,2,9,727,6579,5396,-1183,-45368.94
2001,2002,10002014,1,9,12,5662,4515,-1147,-47170.70
2001,2002,9005002,5,9,105,5650,4508,-1142,-75927.61
2001,2002,1001001,1,9,183,5538,4417,-1121,-34086.49
2001,2002,8015005,11,9,898,5677,4557,-1120,-49916.13
2001,2002,9016010,16,9,662,5306,4197,-1109,-29664.55
2001,2002,2001001,1,9,151,6309,5200,-1109,-13881.98
2001,2002,7007001,12,9,221,6250,5147,-1103,8445.22
2001,2002,9010008,10,9,106,5739,4637,-1102,-39967.26
2001,2002,5001001,6,9,201,5714,4615,-1099,-2073.61
2001,2002,9002004,2,9,578,5976,4881,-1095,-26222.70
2001,2002,9013010,12,9,28,5672,4579,-1093,-61365.10
2001,2002,9003002,3,9,238,5784,4694,-1090,-52094.93
2001,2002,9012010,12,9,4,6214,5128,-1086,-41244.90
2001,2002,4003001,6,9,356,5890,4815,-1075,-19594.68
2001,2002,9009002,9,9,633,5839,4786,-1053,-40163.90
2001,2002,9006010,6,9,100,5322,4271,-1051,-65656.49
2001,2002,9003002,3,9,130,5708,4658,-1050,-121435.05
2001,2002,9011004,3,9,115,5101,4064,-1037,-38404.07
2001,2002,9006008,6,9,156,5824,4793,-1031,-16295.15
2001,2002,4004001,10,9,105,5560,4533,-1027,-29705.36
2001,2002,9009008,9,9,3,5731,4718,-1013,-62660.48
2001,2002,10005001,5,9,65,5890,4879,-1011,-57577.01
2001,2002,9007008,7,9,122,6085,5077,-1008,-108804.86
2001,2002,9001008,1,9,258,5714,4706,-1008,-73311.07
2001,2002,9003008,3,9,382,5145,4143,-1002,-23005.48
2001,2002,2001001,1,9,177,5711,4718,-993,-45422.40
2001,2002,8002001,13,9,268,5521,4545,-976,-50681.49
2001,2002,9010008,10,9,9,5549,4578,-971,45104.79
2001,2002,5002001,2,9,230,5856,4887,-969,-25537.87
2001,2002,10015001,1,9,399,6188,5225,-963,-76365.39
2001,2002,9010004,10,9,110,5035,4082,-953,-81282.12
2001,2002,9013010,3,9,235,5771,4821,-950,-81516.67
2001,2002,9003004,3,9,311,5414,4467,-947,-19498.98
2001,2002,9007008,7,9,766,5412,4470,-942,-43150.76
2001,2002,3003001,9,9,210,5703,4761,-942,-22794.72
2001,2002,9010008,10,9,621,5897,4955,-942,-1466.75
2001,2002,4001001,15,9,42,5385,4444,-941,-77081.27
2001,2002,9012010,12,9,268,5363,4425,-938,-13775.61
2001,2002,4002001,2,9,891,6168,5233,-935,-54473.40
2001,2002,10011013,11,9,123,6141,5207,-934,-77290.63
2001,2002,9005002,5,9,379,5673,4742,-931,-66550.24
2001,2002,9005002,5,9,35,6085,5166,-919,-23898.75
2001,2002,9014008,14,9,904,5637,4725,-912,-54696.64
2001,2002,9010002,10,9,351,5553,4668,-885,-58399.99
2001,2002,9002008,2,9,603,5399,4518,-881,-8944.74
2001,2002,9005002,5,9,226,6438,5559,-879,-78309.56
2001,2002,9016008,16,9,134,5482,4617,-865,-93343.25
2001,2002,7004007,2,9,248,5385,4527,-858,-59997.87
2001,2002,9002002,2,9,556,5690,4832,-858,2965.47
2001,2002,6012003,9,9,48,5468,4620,-848,17912.88
2001,2002,9013010,13,9,288,5473,4631,-842,22917.88
2001,2002,9009008,9,9,958,5837,5002,-835,-63092.62
2001,2002,9015008,15,9,384,5348,4519,-829,-29937.40
2001,2002,1003001,3,9,242,5504,4697,-807,-10853.56
2001,2002,9011002,11,9,372,5085,4279,-806,-78551.75
2001,2002,9015002,15,9,224,5915,5112,-803,-46136.85
2001,2002,9015002,15,9,531,5831,5029,-802,-10846.84
2001,2002,2004001,16,9,443,5269,4475,-794,-28869.68
2001,2002,9003010,3,9,269,6297,5505,-792,-53827.19
2001,2002,9007002,7,9,306,5398,4608,-790,-67953.64
2001,2002,9012004,12,9,808,5796,5006,-790,-43025.36
2001,2002,6015001,15,9,543,5041,4252,-789,3631.40
2001,2002,9004012,4,9,621,5974,5186,-788,52156.56
2001,2002,9010008,10,9,284,5382,4597,-785,22162.92
2001,2002,9011002,11,9,42,5750,4968,-782,-87125.33
---- TYPES
INT, INT, INT, INT, INT, INT, BIGINT, BIGINT, BIGINT, DECIMAL
====

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@@ -0,0 +1,127 @@
====
---- QUERY: TPCDS-Q76
select channel, col_name, d_year, d_qoy, i_category, COUNT(*) sales_cnt, SUM(ext_sales_price) sales_amt FROM (
SELECT 'store' as channel, 'ss_store_sk' col_name, d_year, d_qoy, i_category, ss_ext_sales_price ext_sales_price
FROM store_sales, item, date_dim
WHERE ss_store_sk IS NULL
AND ss_sold_date_sk=d_date_sk
AND ss_item_sk=i_item_sk
UNION ALL
SELECT 'web' as channel, 'ws_ship_customer_sk' col_name, d_year, d_qoy, i_category, ws_ext_sales_price ext_sales_price
FROM web_sales, item, date_dim
WHERE ws_ship_customer_sk IS NULL
AND ws_sold_date_sk=d_date_sk
AND ws_item_sk=i_item_sk
UNION ALL
SELECT 'catalog' as channel, 'cs_ship_addr_sk' col_name, d_year, d_qoy, i_category, cs_ext_sales_price ext_sales_price
FROM catalog_sales, item, date_dim
WHERE cs_ship_addr_sk IS NULL
AND cs_sold_date_sk=d_date_sk
AND cs_item_sk=i_item_sk) foo
GROUP BY channel, col_name, d_year, d_qoy, i_category
ORDER BY channel, col_name, d_year, d_qoy, i_category
limit 100;
---- RESULTS
'catalog','cs_ship_addr_sk',1998,1,'Books',14,24660.12
'catalog','cs_ship_addr_sk',1998,1,'Children',5,5064.75
'catalog','cs_ship_addr_sk',1998,1,'Electronics',13,31709.80
'catalog','cs_ship_addr_sk',1998,1,'Home',12,11651.18
'catalog','cs_ship_addr_sk',1998,1,'Jewelry',13,13102.23
'catalog','cs_ship_addr_sk',1998,1,'Men',11,17458.37
'catalog','cs_ship_addr_sk',1998,1,'Music',13,6741.65
'catalog','cs_ship_addr_sk',1998,1,'Shoes',9,24531.24
'catalog','cs_ship_addr_sk',1998,1,'Sports',9,19244.50
'catalog','cs_ship_addr_sk',1998,1,'Women',13,24864.50
'catalog','cs_ship_addr_sk',1998,2,'Books',14,16581.16
'catalog','cs_ship_addr_sk',1998,2,'Children',12,26195.71
'catalog','cs_ship_addr_sk',1998,2,'Electronics',9,7133.74
'catalog','cs_ship_addr_sk',1998,2,'Home',15,44228.54
'catalog','cs_ship_addr_sk',1998,2,'Jewelry',11,6804.54
'catalog','cs_ship_addr_sk',1998,2,'Men',11,11700.11
'catalog','cs_ship_addr_sk',1998,2,'Music',10,32062.82
'catalog','cs_ship_addr_sk',1998,2,'Shoes',7,4682.58
'catalog','cs_ship_addr_sk',1998,2,'Sports',7,5470.29
'catalog','cs_ship_addr_sk',1998,2,'Women',5,14928.09
'catalog','cs_ship_addr_sk',1998,2,'NULL',1,1535.61
'catalog','cs_ship_addr_sk',1998,3,'Books',20,22224.09
'catalog','cs_ship_addr_sk',1998,3,'Children',19,18667.83
'catalog','cs_ship_addr_sk',1998,3,'Electronics',15,21854.97
'catalog','cs_ship_addr_sk',1998,3,'Home',22,24690.28
'catalog','cs_ship_addr_sk',1998,3,'Jewelry',14,4586.41
'catalog','cs_ship_addr_sk',1998,3,'Men',20,30700.69
'catalog','cs_ship_addr_sk',1998,3,'Music',23,44816.68
'catalog','cs_ship_addr_sk',1998,3,'Shoes',20,33458.73
'catalog','cs_ship_addr_sk',1998,3,'Sports',25,35679.92
'catalog','cs_ship_addr_sk',1998,3,'Women',22,48029.28
'catalog','cs_ship_addr_sk',1998,4,'Books',28,46283.99
'catalog','cs_ship_addr_sk',1998,4,'Children',40,57305.90
'catalog','cs_ship_addr_sk',1998,4,'Electronics',29,42656.07
'catalog','cs_ship_addr_sk',1998,4,'Home',29,29708.36
'catalog','cs_ship_addr_sk',1998,4,'Jewelry',29,24689.26
'catalog','cs_ship_addr_sk',1998,4,'Men',36,64378.63
'catalog','cs_ship_addr_sk',1998,4,'Music',35,51308.03
'catalog','cs_ship_addr_sk',1998,4,'Shoes',27,10881.49
'catalog','cs_ship_addr_sk',1998,4,'Sports',33,33380.56
'catalog','cs_ship_addr_sk',1998,4,'Women',35,14347.96
'catalog','cs_ship_addr_sk',1998,4,'NULL',2,839.65
'catalog','cs_ship_addr_sk',1999,1,'Books',14,35278.57
'catalog','cs_ship_addr_sk',1999,1,'Children',13,17183.17
'catalog','cs_ship_addr_sk',1999,1,'Electronics',4,153.18
'catalog','cs_ship_addr_sk',1999,1,'Home',11,19895.88
'catalog','cs_ship_addr_sk',1999,1,'Jewelry',9,1341.90
'catalog','cs_ship_addr_sk',1999,1,'Men',9,6625.86
'catalog','cs_ship_addr_sk',1999,1,'Music',10,27861.23
'catalog','cs_ship_addr_sk',1999,1,'Shoes',15,5365.20
'catalog','cs_ship_addr_sk',1999,1,'Sports',9,10745.83
'catalog','cs_ship_addr_sk',1999,1,'Women',11,15388.74
'catalog','cs_ship_addr_sk',1999,2,'Books',6,3659.91
'catalog','cs_ship_addr_sk',1999,2,'Children',13,6066.50
'catalog','cs_ship_addr_sk',1999,2,'Electronics',10,14915.50
'catalog','cs_ship_addr_sk',1999,2,'Home',13,12035.96
'catalog','cs_ship_addr_sk',1999,2,'Jewelry',6,23975.00
'catalog','cs_ship_addr_sk',1999,2,'Men',13,16414.16
'catalog','cs_ship_addr_sk',1999,2,'Music',13,6061.53
'catalog','cs_ship_addr_sk',1999,2,'Shoes',10,12500.71
'catalog','cs_ship_addr_sk',1999,2,'Sports',11,2181.52
'catalog','cs_ship_addr_sk',1999,2,'Women',11,16390.31
'catalog','cs_ship_addr_sk',1999,3,'Books',18,29809.59
'catalog','cs_ship_addr_sk',1999,3,'Children',16,12816.74
'catalog','cs_ship_addr_sk',1999,3,'Electronics',17,36415.09
'catalog','cs_ship_addr_sk',1999,3,'Home',15,19664.04
'catalog','cs_ship_addr_sk',1999,3,'Jewelry',20,23257.68
'catalog','cs_ship_addr_sk',1999,3,'Men',19,20150.72
'catalog','cs_ship_addr_sk',1999,3,'Music',20,12062.24
'catalog','cs_ship_addr_sk',1999,3,'Shoes',13,14924.61
'catalog','cs_ship_addr_sk',1999,3,'Sports',24,56456.44
'catalog','cs_ship_addr_sk',1999,3,'Women',17,6958.54
'catalog','cs_ship_addr_sk',1999,4,'Books',27,50890.95
'catalog','cs_ship_addr_sk',1999,4,'Children',36,30608.13
'catalog','cs_ship_addr_sk',1999,4,'Electronics',28,59307.37
'catalog','cs_ship_addr_sk',1999,4,'Home',46,51713.78
'catalog','cs_ship_addr_sk',1999,4,'Jewelry',34,44238.07
'catalog','cs_ship_addr_sk',1999,4,'Men',19,17925.34
'catalog','cs_ship_addr_sk',1999,4,'Music',28,14816.79
'catalog','cs_ship_addr_sk',1999,4,'Shoes',35,48226.50
'catalog','cs_ship_addr_sk',1999,4,'Sports',32,35012.19
'catalog','cs_ship_addr_sk',1999,4,'Women',30,24033.32
'catalog','cs_ship_addr_sk',1999,4,'NULL',1,NULL
'catalog','cs_ship_addr_sk',2000,1,'Books',15,50786.51
'catalog','cs_ship_addr_sk',2000,1,'Children',6,5623.72
'catalog','cs_ship_addr_sk',2000,1,'Electronics',13,35869.18
'catalog','cs_ship_addr_sk',2000,1,'Home',14,11212.87
'catalog','cs_ship_addr_sk',2000,1,'Jewelry',9,16751.45
'catalog','cs_ship_addr_sk',2000,1,'Men',14,34465.53
'catalog','cs_ship_addr_sk',2000,1,'Music',9,23103.03
'catalog','cs_ship_addr_sk',2000,1,'Shoes',9,2854.29
'catalog','cs_ship_addr_sk',2000,1,'Sports',5,159.04
'catalog','cs_ship_addr_sk',2000,1,'Women',8,8663.29
'catalog','cs_ship_addr_sk',2000,2,'Books',14,18943.05
'catalog','cs_ship_addr_sk',2000,2,'Children',8,7309.74
'catalog','cs_ship_addr_sk',2000,2,'Electronics',9,11856.27
'catalog','cs_ship_addr_sk',2000,2,'Home',8,10107.78
'catalog','cs_ship_addr_sk',2000,2,'Jewelry',9,19113.02
'catalog','cs_ship_addr_sk',2000,2,'Men',12,41513.90
'catalog','cs_ship_addr_sk',2000,2,'Music',10,7181.12
---- TYPES
STRING, STRING, INT, INT, STRING, BIGINT, DECIMAL
====

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@@ -0,0 +1,167 @@
====
---- QUERY: TPCDS-Q77A
-- RESULT MISMATCH FROM ORIGINAL
-- FIXED. TAKE ACTUAL RESULT AS EXPECTED
with ss as
(select s_store_sk,
sum(ss_ext_sales_price) as sales,
sum(ss_net_profit) as profit
from store_sales,
date_dim,
store
where ss_sold_date_sk = d_date_sk
and cast(d_date as timestamp) between cast('2000-08-23' as timestamp)
and (cast('2000-08-23' as timestamp) + interval 30 days)
and ss_store_sk = s_store_sk
group by s_store_sk)
,
sr as
(select s_store_sk,
sum(sr_return_amt) as return_amt,
sum(sr_net_loss) as profit_loss
from store_returns,
date_dim,
store
where sr_returned_date_sk = d_date_sk
and cast(d_date as timestamp) between cast('2000-08-23' as timestamp)
and (cast('2000-08-23' as timestamp) + interval 30 days)
and sr_store_sk = s_store_sk
group by s_store_sk),
cs as
(select cs_call_center_sk,
sum(cs_ext_sales_price) as sales,
sum(cs_net_profit) as profit
from catalog_sales,
date_dim
where cs_sold_date_sk = d_date_sk
and cast(d_date as timestamp) between cast('2000-08-23' as timestamp)
and (cast('2000-08-23' as timestamp) + interval 30 days)
group by cs_call_center_sk
),
cr as
(select cr_call_center_sk,
sum(cr_return_amount) as return_amt,
sum(cr_net_loss) as profit_loss
from catalog_returns,
date_dim
where cr_returned_date_sk = d_date_sk
and cast(d_date as timestamp) between cast('2000-08-23' as timestamp)
and (cast('2000-08-23' as timestamp) + interval 30 days)
group by cr_call_center_sk
),
ws as
( select wp_web_page_sk,
sum(ws_ext_sales_price) as sales,
sum(ws_net_profit) as profit
from web_sales,
date_dim,
web_page
where ws_sold_date_sk = d_date_sk
and cast(d_date as timestamp) between cast('2000-08-23' as timestamp)
and (cast('2000-08-23' as timestamp) + interval 30 days)
and ws_web_page_sk = wp_web_page_sk
group by wp_web_page_sk),
wr as
(select wp_web_page_sk,
sum(wr_return_amt) as return_amt,
sum(wr_net_loss) as profit_loss
from web_returns,
date_dim,
web_page
where wr_returned_date_sk = d_date_sk
and cast(d_date as timestamp) between cast('2000-08-23' as timestamp)
and (cast('2000-08-23' as timestamp) + interval 30 days)
and wr_web_page_sk = wp_web_page_sk
group by wp_web_page_sk)
,
results as
(select channel
, id
, sum(sales) as sales
, sum(return_amt) as return_amt
, sum(profit) as profit
from
(select 'store channel' as channel
, ss.s_store_sk as id
, sales
, coalesce(return_amt, 0) as return_amt
, (profit - coalesce(profit_loss,0)) as profit
from ss left join sr
on ss.s_store_sk = sr.s_store_sk
union all
select 'catalog channel' as channel
, cs_call_center_sk as id
, sales
, return_amt
, (profit - profit_loss) as profit
from cs
, cr
union all
select 'web channel' as channel
, ws.wp_web_page_sk as id
, sales
, coalesce(return_amt, 0) return_amt
, (profit - coalesce(profit_loss,0)) as profit
from ws left join wr
on ws.wp_web_page_sk = wr.wp_web_page_sk
) x
group by channel, id )
select *
from (
select channel, id, sales, return_amt, profit from results
union
select channel, NULL AS id, sum(sales) as sales, sum(return_amt) as return_amt, sum(profit) as profit from results group by channel
union
select NULL AS channel, NULL AS id, sum(sales) as sales, sum(return_amt) as return_amt, sum(profit) as profit from results
) foo
order by channel, id
limit 100;
---- RESULTS
'catalog channel',1,132885061.65,2050279.74,-12674076.58
'catalog channel',2,140503047.65,2050279.74,-14906564.08
'catalog channel',5,130483795.90,2050279.74,-13798294.43
'catalog channel',NULL,538912.55,2050279.74,-1383554.73
'catalog channel',NULL,404410817.75,8201118.96,-42762489.82
'store channel',1,20390161.35,562762.31,-9133254.67
'store channel',2,19807085.95,539649.43,-8817821.00
'store channel',4,19599593.20,557973.00,-8389920.41
'store channel',7,19480205.51,520479.41,-8861241.78
'store channel',8,18636331.60,472731.69,-8409599.72
'store channel',10,19335995.71,519959.15,-8771453.62
'store channel',NULL,117249373.32,3173554.99,-52383291.20
'web channel',1,1226811.57,28406.98,-227375.53
'web channel',2,1191229.91,99179.48,-264992.86
'web channel',5,1467083.19,21625.36,-147366.78
'web channel',7,1343208.21,67708.76,-200969.21
'web channel',8,1262065.97,46749.46,-271001.70
'web channel',11,1425934.76,10034.84,-84693.54
'web channel',13,1335813.60,62142.91,-218022.02
'web channel',14,1469352.58,50742.65,-197789.09
'web channel',17,1219451.02,28732.85,-205497.30
'web channel',19,1343058.55,24108.59,-175397.06
'web channel',20,1511303.97,42538.28,-89439.28
'web channel',23,1409483.07,37116.42,-89855.78
'web channel',25,1370755.17,48916.38,-207512.02
'web channel',26,1465712.89,48072.56,-157007.72
'web channel',29,1407813.82,19233.11,-188381.47
'web channel',31,1369226.19,25494.42,-180972.91
'web channel',32,1166947.23,50731.53,-189061.60
'web channel',35,1400811.57,22363.43,-189390.67
'web channel',37,1407716.73,32534.27,-127244.28
'web channel',38,1444241.42,41815.25,-135372.36
'web channel',41,1492530.29,19599.96,-101110.49
'web channel',43,1343104.79,41175.01,-227340.10
'web channel',44,1416507.16,37134.99,-274620.10
'web channel',47,1449718.94,15989.92,-105473.72
'web channel',49,1414898.83,45004.31,-146020.31
'web channel',50,1319375.84,28284.26,-151036.44
'web channel',53,1389137.89,24570.34,-120694.61
'web channel',55,1463362.30,38157.61,-154431.83
'web channel',56,1355553.42,46633.14,-164174.45
'web channel',59,1395251.52,10683.93,-213197.75
'web channel',NULL,41277462.40,1115481.00,-5205442.98
'NULL',NULL,562937653.47,12490154.95,-100351224.00
---- TYPES
STRING, INT, DECIMAL, DECIMAL, DECIMAL
====

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@@ -0,0 +1,163 @@
====
---- QUERY: TPCDS-Q78
-- RESULT MISMATCH FROM ORIGINAL
-- FIXED. TAKE ACTUAL RESULT AS EXPECTED
with ws as
(select d_year AS ws_sold_year, ws_item_sk,
ws_bill_customer_sk ws_customer_sk,
sum(ws_quantity) ws_qty,
sum(ws_wholesale_cost) ws_wc,
sum(ws_sales_price) ws_sp
from web_sales
left join web_returns on wr_order_number=ws_order_number and ws_item_sk=wr_item_sk
join date_dim on ws_sold_date_sk = d_date_sk
where wr_order_number is null
group by d_year, ws_item_sk, ws_bill_customer_sk
),
cs as
(select d_year AS cs_sold_year, cs_item_sk,
cs_bill_customer_sk cs_customer_sk,
sum(cs_quantity) cs_qty,
sum(cs_wholesale_cost) cs_wc,
sum(cs_sales_price) cs_sp
from catalog_sales
left join catalog_returns on cr_order_number=cs_order_number and cs_item_sk=cr_item_sk
join date_dim on cs_sold_date_sk = d_date_sk
where cr_order_number is null
group by d_year, cs_item_sk, cs_bill_customer_sk
),
ss as
(select d_year AS ss_sold_year, ss_item_sk,
ss_customer_sk,
sum(ss_quantity) ss_qty,
sum(ss_wholesale_cost) ss_wc,
sum(ss_sales_price) ss_sp
from store_sales
left join store_returns on sr_ticket_number=ss_ticket_number and ss_item_sk=sr_item_sk
join date_dim on ss_sold_date_sk = d_date_sk
where sr_ticket_number is null
group by d_year, ss_item_sk, ss_customer_sk
)
select
ss_sold_year, ss_item_sk, ss_customer_sk,
round(ss_qty/(coalesce(ws_qty,0)+coalesce(cs_qty,0)),2) ratio,
ss_qty store_qty, ss_wc store_wholesale_cost, ss_sp store_sales_price,
coalesce(ws_qty,0)+coalesce(cs_qty,0) other_chan_qty,
coalesce(ws_wc,0)+coalesce(cs_wc,0) other_chan_wholesale_cost,
coalesce(ws_sp,0)+coalesce(cs_sp,0) other_chan_sales_price
from ss
left join ws on (ws_sold_year=ss_sold_year and ws_item_sk=ss_item_sk and ws_customer_sk=ss_customer_sk)
left join cs on (cs_sold_year=ss_sold_year and cs_item_sk=ss_item_sk and cs_customer_sk=ss_customer_sk)
where (coalesce(ws_qty,0)>0 or coalesce(cs_qty, 0)>0) and ss_sold_year=2002
order by
ss_sold_year, ss_item_sk, ss_customer_sk,
ss_qty desc, ss_wc desc, ss_sp desc,
other_chan_qty,
other_chan_wholesale_cost,
other_chan_sales_price,
round(ss_qty/(coalesce(ws_qty+cs_qty,1)),2)
limit 100;
---- RESULTS
2002,9,5646,0.43,20,7.84,11.54,47,30.81,85.03
2002,57,97133,6.36,70,40.21,43.02,11,5.16,11.10
2002,129,108,26.00,26,10.48,2.37,1,87.68,47.14
2002,321,41960,0.17,7,90.35,105.67,41,39.05,24.69
2002,511,14899,0.25,21,72.09,108.17,84,89.30,103.17
2002,690,2510,0.54,37,79.26,68.23,69,56.38,22.82
2002,721,403,1.67,95,61.68,65.23,57,52.67,50.53
2002,729,46247,2.09,73,91.24,89.89,35,80.58,35.77
2002,765,37957,0.06,5,84.16,14.01,90,12.45,5.09
2002,1059,25758,1.38,47,86.96,91.23,34,32.27,5.76
2002,1236,41346,1.59,43,28.56,40.90,27,7.18,2.01
2002,1260,46874,1.11,98,5.18,3.01,88,50.18,1.29
2002,1335,76341,2.94,97,86.95,3.30,33,68.26,73.11
2002,1347,76414,0.01,1,5.00,NULL,79,45.08,13.14
2002,1464,89045,1.03,100,95.99,NULL,97,38.98,27.96
2002,1477,17492,2.12,89,38.91,37.74,42,38.00,39.46
2002,1767,16602,0.76,16,94.71,47.81,21,12.73,15.51
2002,1983,47178,2.53,76,63.03,75.63,30,90.09,116.43
2002,1986,6198,0.72,31,71.27,97.49,43,44.13,79.14
2002,2071,24159,0.84,63,84.99,55.68,75,89.63,120.08
2002,2245,73119,0.09,6,10.04,2.59,65,61.47,44.42
2002,2293,27432,10.57,74,47.06,59.52,7,5.27,7.03
2002,2353,92698,1.41,58,85.54,11.20,41,41.20,86.32
2002,2761,38357,0.34,32,49.23,9.98,94,37.74,37.64
2002,2845,7790,1.73,76,85.75,30.56,44,93.91,0.00
2002,2959,47472,1.97,75,77.31,92.67,38,82.28,83.75
2002,3045,20740,0.51,25,97.93,88.86,49,70.74,157.56
2002,3129,26451,0.09,6,31.93,10.29,65,62.81,90.30
2002,3204,35986,1.88,32,12.65,3.84,17,64.95,44.36
2002,3219,29526,1.46,82,42.31,65.89,56,9.90,15.19
2002,3357,71540,0.11,9,50.44,22.46,81,53.38,74.94
2002,3399,72,2.61,81,4.58,3.13,31,63.52,40.03
2002,3462,88673,0.17,11,40.93,43.54,66,39.83,35.68
2002,3627,71405,0.24,21,61.60,20.18,86,30.17,2.98
2002,3732,41263,0.35,33,63.24,71.03,93,64.70,123.62
2002,3942,31747,0.28,8,14.21,22.64,29,55.38,6.42
2002,4117,54024,0.57,41,66.75,72.00,72,71.80,96.35
2002,4242,37012,0.78,47,15.86,6.80,60,97.79,170.03
2002,4302,64566,1.55,82,6.26,2.15,53,50.12,55.86
2002,4447,74056,0.48,27,16.86,11.21,56,89.56,144.94
2002,4686,76933,1.00,15,75.29,54.19,15,7.49,6.75
2002,4717,79946,0.89,57,39.12,67.27,64,7.08,1.71
2002,4723,36380,3.62,47,65.36,15.68,13,48.79,8.87
2002,4819,62327,0.77,63,44.48,52.39,82,68.44,88.28
2002,4957,36983,2.33,70,38.96,14.99,30,34.89,22.13
2002,4992,62746,0.48,15,17.23,11.02,31,60.22,97.22
2002,5004,31716,3.00,78,30.61,21.16,26,73.11,50.70
2002,5133,97233,0.58,49,59.82,43.19,84,85.44,4.07
2002,5245,45142,0.49,30,1.10,0.37,61,36.53,44.48
2002,5251,73991,3.20,96,51.64,93.16,30,27.34,8.36
2002,5449,95871,0.19,16,18.71,8.24,85,12.35,5.29
2002,5472,24589,0.24,8,34.74,26.11,33,42.48,35.38
2002,5503,34938,0.69,9,98.38,93.49,13,49.87,54.85
2002,5569,64962,0.50,50,NULL,5.68,100,93.35,78.15
2002,5583,92620,0.72,56,97.86,50.80,78,93.99,1.40
2002,5727,60671,1.14,49,43.70,1.73,43,86.92,100.16
2002,5737,39389,2.71,46,59.71,2.72,17,95.38,25.03
2002,5749,62425,1.10,100,39.91,16.04,91,88.00,54.33
2002,5841,67686,0.33,22,54.47,86.52,67,62.11,7.52
2002,5937,84826,1.59,86,97.93,75.53,54,75.03,58.06
2002,6015,91432,2.81,73,95.72,98.89,26,14.50,16.96
2002,6060,4560,0.20,15,8.54,13.22,75,62.88,117.71
2002,6139,45325,1.08,92,55.42,6.16,85,58.04,52.46
2002,6195,65834,1.33,61,88.07,88.10,46,95.23,15.42
2002,6471,70702,0.26,12,59.51,50.98,46,61.85,26.39
2002,6576,13149,1.08,13,11.27,2.64,12,63.38,111.35
2002,6609,27877,9.00,90,66.94,22.75,10,82.77,144.84
2002,6633,42874,0.93,82,31.20,35.97,88,44.86,6.40
2002,6855,15315,0.31,25,58.32,89.27,80,78.76,14.83
2002,6912,52490,1.13,85,56.88,35.84,75,40.18,0.58
2002,6931,79419,5.00,10,27.63,18.85,2,65.44,132.47
2002,7033,66414,0.26,13,94.05,1.16,50,67.17,107.46
2002,7063,21112,0.77,27,49.27,79.81,35,77.32,93.24
2002,7215,31653,0.42,32,57.07,1.72,77,92.67,171.36
2002,7561,51218,1.00,68,35.23,21.28,68,59.73,129.01
2002,7782,49798,1.04,53,83.78,112.52,51,76.63,63.44
2002,7801,88304,0.48,12,96.02,41.33,25,95.64,20.64
2002,7815,66823,0.94,72,25.50,25.58,77,53.59,76.78
2002,7957,96021,0.44,43,79.68,30.03,98,73.48,90.26
2002,8049,60811,0.39,12,81.72,20.26,31,37.82,50.91
2002,8227,91553,0.87,60,87.92,111.61,69,31.14,25.90
2002,8337,8072,0.20,12,63.82,50.02,61,98.28,5.38
2002,8349,57239,0.25,22,3.17,0.78,89,20.00,18.55
2002,8451,86351,0.42,40,83.30,109.88,96,77.69,52.56
2002,8505,27133,0.19,5,30.40,21.53,27,88.89,7.57
2002,8646,73272,0.72,23,13.59,6.28,32,17.75,13.76
2002,8761,53153,0.88,37,2.97,4.64,42,58.26,55.88
2002,8898,57830,0.57,47,30.69,17.17,83,16.40,36.64
2002,8979,50230,0.50,15,12.02,1.03,30,36.85,34.45
2002,8983,80488,0.18,7,46.94,49.14,39,51.17,61.25
2002,8989,69606,0.45,22,99.16,93.14,49,73.63,37.31
2002,9165,45023,3.67,22,32.15,14.95,6,28.47,38.94
2002,9193,88085,0.84,61,34.73,34.78,73,30.59,9.83
2002,9307,30830,0.01,1,53.62,23.51,72,74.60,55.05
2002,9327,65904,0.97,38,79.26,122.00,39,10.33,14.31
2002,9385,42467,0.52,27,64.95,23.69,52,86.42,2.37
2002,9387,87700,0.88,14,85.04,132.39,16,99.04,64.37
2002,9519,47703,1.49,85,7.64,11.98,57,83.37,144.89
2002,9541,38364,0.36,27,14.91,11.36,76,2.16,1.32
2002,9918,45262,1.09,98,3.02,1.91,90,90.79,154.11
---- TYPES
INT, BIGINT, INT, DOUBLE, BIGINT, DECIMAL, DECIMAL, BIGINT, DECIMAL, DECIMAL
====

View File

@@ -6,7 +6,7 @@ select
from
store_sales
join store on (store_sales.ss_store_sk = store.s_store_sk)
join
join
(select
a.ca_zip
from
@@ -22,8 +22,8 @@ from
ca_zip
having
count(*) > 10
) a
left semi join
) a
left semi join
(select
substr(ca_zip, 1, 5) ca_zip
from
@@ -66,7 +66,7 @@ where
group by
s_store_name
order by
s_store_name
s_store_name
limit 100
---- RESULTS
---- TYPES

View File

@@ -0,0 +1,213 @@
====
---- QUERY: TPCDS-Q80A
with ssr as
(select s_store_id as store_id,
sum(ss_ext_sales_price) as sales,
sum(coalesce(sr_return_amt, 0)) as return_amt,
sum(ss_net_profit - coalesce(sr_net_loss, 0)) as profit
from store_sales left outer join store_returns on
(ss_item_sk = sr_item_sk and ss_ticket_number = sr_ticket_number),
date_dim,
store,
item,
promotion
where ss_sold_date_sk = d_date_sk
and d_date between cast('2000-08-23' as timestamp)
and (cast('2000-08-23' as timestamp) + interval 30 days )
and ss_store_sk = s_store_sk
and ss_item_sk = i_item_sk
and i_current_price > 50
and ss_promo_sk = p_promo_sk
and p_channel_tv = 'N'
group by s_store_id)
,
csr as
(select cp_catalog_page_id as catalog_page_id,
sum(cs_ext_sales_price) as sales,
sum(coalesce(cr_return_amount, 0)) as return_amt,
sum(cs_net_profit - coalesce(cr_net_loss, 0)) as profit
from catalog_sales left outer join catalog_returns on
(cs_item_sk = cr_item_sk and cs_order_number = cr_order_number),
date_dim,
catalog_page,
item,
promotion
where cs_sold_date_sk = d_date_sk
and d_date between cast('2000-08-23' as timestamp)
and (cast('2000-08-23' as timestamp) + interval 30 days )
and cs_catalog_page_sk = cp_catalog_page_sk
and cs_item_sk = i_item_sk
and i_current_price > 50
and cs_promo_sk = p_promo_sk
and p_channel_tv = 'N'
group by cp_catalog_page_id)
,
wsr as
(select web_site_id,
sum(ws_ext_sales_price) as sales,
sum(coalesce(wr_return_amt, 0)) as return_amt,
sum(ws_net_profit - coalesce(wr_net_loss, 0)) as profit
from web_sales left outer join web_returns on
(ws_item_sk = wr_item_sk and ws_order_number = wr_order_number),
date_dim,
web_site,
item,
promotion
where ws_sold_date_sk = d_date_sk
and d_date between cast('2000-08-23' as timestamp)
and (cast('2000-08-23' as timestamp) + interval 30 days )
and ws_web_site_sk = web_site_sk
and ws_item_sk = i_item_sk
and i_current_price > 50
and ws_promo_sk = p_promo_sk
and p_channel_tv = 'N'
group by web_site_id)
,
results as
(select channel
, id
, sum(sales) as sales
, sum(return_amt) as return_amt
, sum(profit) as profit
from
(select 'store channel' as channel
, concat('store', store_id) as id
, sales
, return_amt
, profit
from ssr
union all
select 'catalog channel' as channel
, concat('catalog_page', catalog_page_id) as id
, sales
, return_amt
, profit
from csr
union all
select 'web channel' as channel
, concat('web_site', web_site_id) as id
, sales
, return_amt
, profit
from wsr
) x
group by channel, id)
select channel
, id
, sales
, return_amt
, profit
from (
select channel, id, sales, return_amt, profit from results
union
select channel, NULL AS id, sum(sales) as sales, sum(return_amt) as return_amt, sum(profit) as profit from results group by channel
union
select NULL AS channel, NULL AS id, sum(sales) as sales, sum(return_amt) as return_amt, sum(profit) as profit from results
) foo
order by channel, id
limit 100;
---- RESULTS
'catalog channel','catalog_pageAAAAAAAAAAABAAAA',19965.69,3132.48,-16011.54
'catalog channel','catalog_pageAAAAAAAAABABAAAA',14376.88,380.90,-3715.45
'catalog channel','catalog_pageAAAAAAAAACABAAAA',4427.58,0.00,-6520.01
'catalog channel','catalog_pageAAAAAAAAADABAAAA',8488.29,0.00,-3247.97
'catalog channel','catalog_pageAAAAAAAAADCBAAAA',16052.65,0.00,-5900.88
'catalog channel','catalog_pageAAAAAAAAAEABAAAA',10314.44,0.00,-7096.25
'catalog channel','catalog_pageAAAAAAAAAECBAAAA',2857.44,2548.08,-136.42
'catalog channel','catalog_pageAAAAAAAAAFABAAAA',5184.92,0.00,-507.04
'catalog channel','catalog_pageAAAAAAAAAFCBAAAA',594.44,0.00,-1518.44
'catalog channel','catalog_pageAAAAAAAAAGABAAAA',1107.03,190.82,-897.30
'catalog channel','catalog_pageAAAAAAAAAGCBAAAA',3059.65,0.00,-5088.38
'catalog channel','catalog_pageAAAAAAAAAHABAAAA',13134.30,0.00,2118.90
'catalog channel','catalog_pageAAAAAAAAAHCBAAAA',16181.17,0.00,4761.95
'catalog channel','catalog_pageAAAAAAAAAJCBAAAA',2448.69,0.00,557.49
'catalog channel','catalog_pageAAAAAAAAAKCBAAAA',1005.27,0.00,154.35
'catalog channel','catalog_pageAAAAAAAAAKPAAAAA',8445.19,0.00,-4147.63
'catalog channel','catalog_pageAAAAAAAAALCBAAAA',11511.46,0.00,1173.29
'catalog channel','catalog_pageAAAAAAAAALPAAAAA',22038.68,94.24,2354.44
'catalog channel','catalog_pageAAAAAAAAAMPAAAAA',24071.71,5664.86,-6484.42
'catalog channel','catalog_pageAAAAAAAAANCBAAAA',8352.06,0.00,4237.49
'catalog channel','catalog_pageAAAAAAAAANPAAAAA',14597.62,134.64,-15964.47
'catalog channel','catalog_pageAAAAAAAAAOCBAAAA',373.75,0.00,-1085.83
'catalog channel','catalog_pageAAAAAAAAAOPAAAAA',23808.03,0.00,5548.05
'catalog channel','catalog_pageAAAAAAAAAPCBAAAA',9531.26,0.00,581.49
'catalog channel','catalog_pageAAAAAAAAAPPAAAAA',33119.11,55.44,7393.54
'catalog channel','catalog_pageAAAAAAAABAABAAAA',4272.46,501.30,-9581.06
'catalog channel','catalog_pageAAAAAAAABBABAAAA',1080.28,0.00,-4305.79
'catalog channel','catalog_pageAAAAAAAABCABAAAA',33.90,0.00,-278.65
'catalog channel','catalog_pageAAAAAAAABDABAAAA',5872.30,88.38,-480.99
'catalog channel','catalog_pageAAAAAAAABDCBAAAA',5743.76,0.00,1462.64
'catalog channel','catalog_pageAAAAAAAABEABAAAA',2049.28,0.00,-4059.03
'catalog channel','catalog_pageAAAAAAAABECBAAAA',18997.60,0.00,-8490.71
'catalog channel','catalog_pageAAAAAAAABFABAAAA',31503.86,0.00,7136.80
'catalog channel','catalog_pageAAAAAAAABFCBAAAA',25421.67,8976.00,10129.52
'catalog channel','catalog_pageAAAAAAAABGABAAAA',10594.99,367.65,-2926.53
'catalog channel','catalog_pageAAAAAAAABHABAAAA',9000.33,1145.50,-12055.00
'catalog channel','catalog_pageAAAAAAAABICBAAAA',1094.54,0.00,-202.67
'catalog channel','catalog_pageAAAAAAAABJCBAAAA',2178.01,0.00,979.05
'catalog channel','catalog_pageAAAAAAAABKCBAAAA',9189.93,0.00,4352.16
'catalog channel','catalog_pageAAAAAAAABKPAAAAA',9637.79,1986.96,-19295.74
'catalog channel','catalog_pageAAAAAAAABLCBAAAA',13969.57,0.00,5111.08
'catalog channel','catalog_pageAAAAAAAABLPAAAAA',11655.71,3796.68,-15600.79
'catalog channel','catalog_pageAAAAAAAABMCBAAAA',11936.10,14.70,1200.76
'catalog channel','catalog_pageAAAAAAAABMPAAAAA',14866.48,0.00,-662.88
'catalog channel','catalog_pageAAAAAAAABNCBAAAA',5440.20,0.00,-3049.20
'catalog channel','catalog_pageAAAAAAAABNPAAAAA',4186.13,188.37,-16115.36
'catalog channel','catalog_pageAAAAAAAABOCBAAAA',3112.32,0.00,-2559.36
'catalog channel','catalog_pageAAAAAAAABOPAAAAA',2020.48,0.00,-192.04
'catalog channel','catalog_pageAAAAAAAABPCBAAAA',7148.02,0.00,1781.91
'catalog channel','catalog_pageAAAAAAAABPPAAAAA',17674.89,0.00,345.58
'catalog channel','catalog_pageAAAAAAAACAABAAAA',17255.36,0.00,-3926.28
'catalog channel','catalog_pageAAAAAAAACBABAAAA',2470.13,1545.21,-1544.35
'catalog channel','catalog_pageAAAAAAAACCABAAAA',6361.92,0.00,3790.08
'catalog channel','catalog_pageAAAAAAAACDCBAAAA',1526.49,0.00,-3403.89
'catalog channel','catalog_pageAAAAAAAACEABAAAA',10732.94,0.00,-984.47
'catalog channel','catalog_pageAAAAAAAACECBAAAA',648.84,0.00,170.04
'catalog channel','catalog_pageAAAAAAAACFABAAAA',6745.24,0.00,-3013.83
'catalog channel','catalog_pageAAAAAAAACGABAAAA',5143.41,0.00,1545.93
'catalog channel','catalog_pageAAAAAAAACGCBAAAA',1284.52,0.00,-144.08
'catalog channel','catalog_pageAAAAAAAACHABAAAA',10246.18,0.00,-6015.51
'catalog channel','catalog_pageAAAAAAAACHCBAAAA',10416.70,0.00,19.49
'catalog channel','catalog_pageAAAAAAAACICBAAAA',396.76,0.00,154.44
'catalog channel','catalog_pageAAAAAAAACJCBAAAA',281.26,0.00,-5252.32
'catalog channel','catalog_pageAAAAAAAACKCBAAAA',163.02,0.00,-46.83
'catalog channel','catalog_pageAAAAAAAACKPAAAAA',12857.24,730.99,-2517.04
'catalog channel','catalog_pageAAAAAAAACLCBAAAA',5470.63,0.00,1082.94
'catalog channel','catalog_pageAAAAAAAACLPAAAAA',21549.31,0.00,6695.34
'catalog channel','catalog_pageAAAAAAAACMCBAAAA',11329.50,0.00,5202.60
'catalog channel','catalog_pageAAAAAAAACMPAAAAA',7546.59,294.84,-2582.73
'catalog channel','catalog_pageAAAAAAAACNPAAAAA',23904.66,0.00,488.70
'catalog channel','catalog_pageAAAAAAAACOPAAAAA',19014.47,648.01,-8700.92
'catalog channel','catalog_pageAAAAAAAACPCBAAAA',1148.55,0.00,-932.52
'catalog channel','catalog_pageAAAAAAAACPPAAAAA',25230.53,0.00,-741.80
'catalog channel','catalog_pageAAAAAAAADAABAAAA',20305.27,0.00,972.58
'catalog channel','catalog_pageAAAAAAAADBABAAAA',1390.65,0.00,-4835.48
'catalog channel','catalog_pageAAAAAAAADCABAAAA',8296.22,4011.70,-5197.32
'catalog channel','catalog_pageAAAAAAAADDABAAAA',6289.02,0.00,1457.49
'catalog channel','catalog_pageAAAAAAAADDCBAAAA',14137.81,0.00,479.91
'catalog channel','catalog_pageAAAAAAAADEABAAAA',7572.00,77.80,2937.68
'catalog channel','catalog_pageAAAAAAAADECBAAAA',4207.12,0.00,-2457.02
'catalog channel','catalog_pageAAAAAAAADFABAAAA',23991.62,3.15,1216.83
'catalog channel','catalog_pageAAAAAAAADFCBAAAA',6537.84,0.00,-6173.37
'catalog channel','catalog_pageAAAAAAAADGABAAAA',9050.23,3062.68,-2935.52
'catalog channel','catalog_pageAAAAAAAADGCBAAAA',7789.42,0.00,-3868.94
'catalog channel','catalog_pageAAAAAAAADHABAAAA',25558.98,0.00,-6817.76
'catalog channel','catalog_pageAAAAAAAADHCBAAAA',5245.91,65.34,-1734.29
'catalog channel','catalog_pageAAAAAAAADICBAAAA',0.00,0.00,-2246.10
'catalog channel','catalog_pageAAAAAAAADJCBAAAA',7721.15,0.00,3313.85
'catalog channel','catalog_pageAAAAAAAADKCBAAAA',5463.32,1677.60,874.45
'catalog channel','catalog_pageAAAAAAAADKPAAAAA',30068.71,0.00,-8011.27
'catalog channel','catalog_pageAAAAAAAADLCBAAAA',1146.19,0.00,-1287.95
'catalog channel','catalog_pageAAAAAAAADLPAAAAA',35314.26,0.00,-5055.96
'catalog channel','catalog_pageAAAAAAAADMCBAAAA',2420.23,0.00,-1610.01
'catalog channel','catalog_pageAAAAAAAADMPAAAAA',32509.00,737.40,-14350.75
'catalog channel','catalog_pageAAAAAAAADNCBAAAA',9986.56,5534.72,1208.35
'catalog channel','catalog_pageAAAAAAAADNPAAAAA',1953.82,0.00,220.42
'catalog channel','catalog_pageAAAAAAAADOCBAAAA',3356.59,62.99,-4084.30
'catalog channel','catalog_pageAAAAAAAADOPAAAAA',5090.89,0.00,-2319.86
'catalog channel','catalog_pageAAAAAAAADPCBAAAA',7004.85,78.75,-1243.37
'catalog channel','catalog_pageAAAAAAAADPPAAAAA',22004.30,2309.27,3234.13
---- TYPES
STRING, STRING, DECIMAL, DECIMAL, DECIMAL
====

View File

@@ -0,0 +1,134 @@
====
---- QUERY: TPCDS-Q81
with customer_total_return as
(select cr_returning_customer_sk as ctr_customer_sk
,ca_state as ctr_state,
sum(cr_return_amt_inc_tax) as ctr_total_return
from catalog_returns
,date_dim
,customer_address
where cr_returned_date_sk = d_date_sk
and d_year =2000
and cr_returning_addr_sk = ca_address_sk
group by cr_returning_customer_sk
,ca_state )
select c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name
,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset
,ca_location_type,ctr_total_return
from customer_total_return ctr1
,customer_address
,customer
where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2
from customer_total_return ctr2
where ctr1.ctr_state = ctr2.ctr_state)
and ca_address_sk = c_current_addr_sk
and ca_state = 'GA'
and ctr1.ctr_customer_sk = c_customer_sk
order by c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name
,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset
,ca_location_type,ctr_total_return
limit 100;
---- RESULTS
'AAAAAAAAABBEAAAA','Dr.','Oscar','Fox','183','15th ','Ln','Suite P','Greenwood','Clay County','GA','38828','United States',-5.00,'condo',4607.92
'AAAAAAAAADCEBAAA','Sir','Billy','Bell','690','4th Fifth','Ct.','Suite 390','Hillcrest','Spalding County','GA','33003','United States',-5.00,'condo',5567.44
'AAAAAAAAAFBGAAAA','Mrs.','Erika','Buford','527','1st ','Ln','Suite 380','Lakewood','Jasper County','GA','38877','United States',-5.00,'single family',5412.16
'AAAAAAAAAFLABAAA','Mr.','Richard','James','40','2nd Miller','Road','Suite 190','Arlington','Morgan County','GA','36557','United States',-5.00,'apartment',2249.10
'AAAAAAAAAHOEAAAA','Mr.','Michael','Yates','349','Elm South','ST','Suite 30','Blanchard','Talbot County','GA','35985','United States',-5.00,'single family',1810.13
'AAAAAAAAAIEHBAAA','Miss','Tamara','Chestnut','934','13th Cherry','Blvd','Suite O','Antioch','Haralson County','GA','38605','United States',-5.00,'condo',1639.26
'AAAAAAAAAJLNAAAA','Dr.','Sheree','Bragg','664','Elm 4th','Ave','Suite 320','Glenwood','McDuffie County','GA','33511','United States',-5.00,'condo',3012.45
'AAAAAAAAAJNEBAAA','Dr.','David','Hamilton','108','Spring Wilson','Ct.','Suite F','Glenwood','Macon County','GA','33511','United States',-5.00,'apartment',2567.79
'AAAAAAAAAKJOAAAA','Dr.','Gus','Stewart','883','Valley ','Drive','Suite J','Macedonia','Lanier County','GA','31087','United States',-5.00,'single family',3530.28
'AAAAAAAAAMFBBAAA','Mr.','Jackson','NULL','177','8th Walnut','Ct.','Suite 300','Riverview','Jenkins County','GA','39003','United States',-5.00,'single family',4875.86
'AAAAAAAAAMPKAAAA','Ms.','Elizabeth','Booth','344','Jackson North','Drive','Suite 100','Woodville','Fayette County','GA','34289','United States',-5.00,'single family',2372.60
'AAAAAAAAANCLAAAA','Mr.','Raymond','Dixon','189','Jackson 7th','Parkway','Suite 360','Lakewood','Dade County','GA','38877','United States',-5.00,'single family',4655.74
'AAAAAAAAANJIAAAA','Dr.','Dennis','Roper','600','Walnut ','Pkwy','Suite 140','Plainview','Barrow County','GA','33683','United States',-5.00,'apartment',3500.40
'AAAAAAAAANLABAAA','Sir','Thomas','Zimmerman','496','Forest ','ST','Suite L','Saratoga','Lumpkin County','GA','32123','United States',-5.00,'apartment',9193.95
'AAAAAAAAAODFAAAA','Mrs.','Kathy','Villegas','156','4th Sunset','Cir.','Suite I','Red Hill','Appling County','GA','34338','United States',-5.00,'single family',2106.00
'AAAAAAAAAOEBBAAA','Sir','Benjamin','Parker','698','6th ','Drive','Suite O','Plainview','Screven County','GA','33683','United States',-5.00,'apartment',3891.38
'AAAAAAAAAOEBBAAA','Sir','Benjamin','Parker','698','6th ','Drive','Suite O','Plainview','Screven County','GA','33683','United States',-5.00,'apartment',9787.55
'AAAAAAAAAPBBBAAA','Sir','Donald','Littlejohn','467','Lake ','Ln','Suite 20','Riverside','Turner County','GA','39231','United States',-5.00,'single family',4831.52
'AAAAAAAABABBBAAA','Mr.','David','Roe','521','Jefferson ','Parkway','Suite 120','Enterprise','Wilcox County','GA','31757','United States',-5.00,'apartment',4079.80
'AAAAAAAABAJHAAAA','Mrs.','Doris','Gillespie','179','Washington Chestnut','Dr.','Suite W','Jackson','Columbia County','GA','39583','United States',-5.00,'condo',4617.58
'AAAAAAAABANGBAAA','Mr.','Ralph','Condon','755','Davis ','Blvd','Suite 280','Antioch','Pike County','GA','38605','United States',-5.00,'condo',14966.24
'AAAAAAAABBHKAAAA','Mrs.','Kristin','Grant','870','Ash Park','Ave','Suite 300','Lakeview','Harris County','GA','38579','United States',-5.00,'single family',3580.44
'AAAAAAAABBOBBAAA','Mr.','Herman','Rivera','396','Walnut ','Cir.','Suite P','Athens','Baldwin County','GA','36796','United States',-5.00,'single family',4608.96
'AAAAAAAABCAOAAAA','Dr.','Brenda','Bell','562','7th Park','Road','Suite 320','Edgewood','Troup County','GA','30069','United States',-5.00,'apartment',3721.03
'AAAAAAAABCIMAAAA','Dr.','Becky','Seals','174','Park Park','Ct.','Suite H','Green Acres','Schley County','GA','37683','United States',-5.00,'single family',2980.15
'AAAAAAAABDHFAAAA','Mr.','Charles','Miller','531','Church 14th','Circle','Suite 60','Ashland','Franklin County','GA','34244','United States',-5.00,'apartment',3241.85
'AAAAAAAABEHABAAA','Dr.','Gregory','NULL','391','Seventh ','Road','Suite Q','Oakwood','Liberty County','GA','30169','United States',-5.00,'single family',3520.33
'AAAAAAAABGDGBAAA','Sir','Brian','Adams','915','Jackson ','RD','Suite O','Concord','Columbia County','GA','34107','United States',-5.00,'apartment',2912.27
'AAAAAAAABGLCBAAA','Dr.','Joseph','Torres','103','Highland 7th','Court','Suite I','Wilson','Jenkins County','GA','36971','United States',-5.00,'single family',1842.89
'AAAAAAAABHOFAAAA','Ms.','Anthony','NULL','518','Meadow Smith','Ct.','Suite C','Riverdale','Bleckley County','GA','39391','United States',-5.00,'single family',1878.44
'AAAAAAAABIMMAAAA','Dr.','Shanna','Mcrae','764','Walnut ','Street','Suite B','Brownsville','Lumpkin County','GA','39310','United States',-5.00,'condo',7237.05
'AAAAAAAABINIAAAA','Dr.','Jose','Reynolds','571','Main ','Ave','Suite B','Mount Zion','Troup County','GA','38054','United States',-5.00,'apartment',2463.65
'AAAAAAAABJMEAAAA','Miss','Deborah','Sheehan','450','Willow ','Cir.','Suite G','Marion','Franklin County','GA','30399','United States',-5.00,'condo',6623.88
'AAAAAAAABKAIAAAA','Miss','Ruth','Rodriguez','706','Williams ','Pkwy','Suite Y','Antioch','Lanier County','GA','38605','United States',-5.00,'single family',3025.05
'AAAAAAAABMBLAAAA','Ms.','Ava','Jackson','601','Fourth Washington','Way','Suite 440','Glendale','Cherokee County','GA','33951','United States',-5.00,'apartment',1637.46
'AAAAAAAABMBLAAAA','Ms.','Ava','Jackson','601','Fourth Washington','Way','Suite 440','Glendale','Cherokee County','GA','33951','United States',-5.00,'apartment',2373.14
'AAAAAAAABMFDAAAA','Mrs.','Megan','Webster','124','11th ','Pkwy','Suite K','Shady Grove','Miller County','GA','32812','United States',-5.00,'single family',3059.27
'AAAAAAAABNMGBAAA','Mrs.','Wanda','Shumate','422','Pine 3rd','Cir.','Suite 170','Crossroads','Berrien County','GA','30534','United States',-5.00,'single family',1699.41
'AAAAAAAABNMIAAAA','Miss','Bobbi','Erickson','731','Jefferson ','Parkway','Suite H','Mountain View','Taylor County','GA','34466','United States',-5.00,'apartment',2925.34
'AAAAAAAABOAPAAAA','Ms.','Karen','Burt','794','Sunset Sunset','Drive','Suite 470','Glendale','Calhoun County','GA','33951','United States',-5.00,'condo',8807.07
'AAAAAAAABOCDBAAA','Ms.','Flora','Messer','608','10th ','Court','Suite A','Highland Park','Dooly County','GA','36534','United States',-5.00,'single family',3255.56
'AAAAAAAABPIMAAAA','Dr.','Steve','Cano','711','Park ','Ln','Suite N','Smith','Gwinnett County','GA','37317','United States',-5.00,'single family',2086.39
'AAAAAAAACABFAAAA','Sir','Steven','Lamb','726','Cherry Hill','ST','Suite E','Woodville','Worth County','GA','34289','United States',-5.00,'apartment',2361.71
'AAAAAAAACBDDAAAA','Sir','Terry','Seiler','960','Eigth ','Way','Suite 240','Mountain View','Putnam County','GA','34466','United States',-5.00,'apartment',3222.09
'AAAAAAAACCBOAAAA','Sir','Patrick','Miller','577','Church ','Ave','Suite 110','Bethel','White County','GA','35281','United States',-5.00,'single family',2927.35
'AAAAAAAACDOPAAAA','Mrs.','Carolyn','Singer','399','Second ','Boulevard','Suite O','White Oak','Wayne County','GA','36668','United States',-5.00,'condo',4011.31
'AAAAAAAACFADBAAA','NULL','NULL','NULL','502','Willow Park','Cir.','Suite E','Dewey','Colquitt County','GA','31160','United States',-5.00,'apartment',3732.03
'AAAAAAAACIHABAAA','Ms.','Arlene','Baker','216','Maple Walnut','Ave','Suite 310','Greenfield','Glascock County','GA','35038','United States',-5.00,'single family',2857.28
'AAAAAAAACJCHAAAA','Mr.','Wilbur','Mullins','119','Eigth ','Dr.','Suite W','Fairview','Wilkes County','GA','35709','United States',-5.00,'single family',4861.83
'AAAAAAAACJJKAAAA','Mr.','Ramon','Zaragoza','934','Park ','Lane','Suite K','Lakewood','Muscogee County','GA','38877','United States',-5.00,'condo',9022.65
'AAAAAAAACKHEAAAA','Mr.','Richard','Leblanc','18','Green View','Court','Suite J','Woodville','Butts County','GA','34289','United States',-5.00,'single family',3787.49
'AAAAAAAACODJAAAA','Dr.','Neal','Nash','95','NULL','Street','Suite 110','Spring Hill','Murray County','GA','36787','NULL',-5.00,'NULL',2144.31
'AAAAAAAACOFIBAAA','Mr.','Fred','Morales','687','5th Park','Cir.','Suite X','Fairview','Murray County','GA','35709','United States',-5.00,'condo',1936.70
'AAAAAAAACOHIAAAA','Mr.','Roger','Grider','191','Williams Second','Avenue','Suite 420','Brownsville','Coweta County','GA','39310','United States',-5.00,'single family',5782.43
'AAAAAAAACPBABAAA','Miss','Lucile','Anderson','149','View Williams','Ct.','Suite L','Mount Pleasant','Washington County','GA','31933','United States',-5.00,'single family',2600.59
'AAAAAAAADANFBAAA','Mrs.','Ann','Nadeau','247','Maple ','Avenue','Suite 260','Hamilton','Elbert County','GA','32808','United States',-5.00,'single family',4103.32
'AAAAAAAADBAHAAAA','Dr.','Lucille','Hill','668','West Laurel','Pkwy','Suite M','Mount Olive','Quitman County','GA','38059','United States',-5.00,'single family',2033.22
'AAAAAAAADBEIBAAA','Miss','Erica','Hill','396','Maple Johnson','Avenue','Suite R','Crossroads','Hall County','GA','30534','United States',-5.00,'condo',4500.01
'AAAAAAAADBEOAAAA','Miss','Loretta','Smith','149','Maple ','ST','Suite 350','Fairview','Cherokee County','GA','35709','United States',-5.00,'apartment',3810.28
'AAAAAAAADBFHBAAA','Mr.','Charles','Robinson','731','Ridge ','Lane','Suite 160','New Hope','Bartow County','GA','39431','United States',-5.00,'apartment',4042.46
'AAAAAAAADCAEAAAA','Dr.','Joanna','Walker','665','15th Maple','Avenue','Suite Y','Camden','McDuffie County','GA','37119','United States',-5.00,'single family',4067.57
'AAAAAAAADCLBAAAA','Mrs.','Evelyn','Hammett','302','1st Adams','Cir.','Suite 370','Five Points','Pulaski County','GA','36098','United States',-5.00,'single family',2187.12
'AAAAAAAADDENAAAA','Sir','Alejandro','Doyle','916','Cherry Elm','ST','Suite 110','Providence','Clay County','GA','36614','United States',-5.00,'single family',3357.92
'AAAAAAAADEGFAAAA','Sir','Jesse','Johnson','725','Laurel First','Parkway','Suite O','Pleasant Valley','Candler County','GA','32477','United States',-5.00,'condo',4969.77
'AAAAAAAADGCCAAAA','Miss','Loretta','Moss','274','3rd Walnut','Ave','Suite L','Arlington','Lee County','GA','36557','United States',-5.00,'condo',1891.74
'AAAAAAAADHFLAAAA','Mr.','George','Schneider','579','Johnson Ash','Way','Suite 110','Concord','Seminole County','GA','34107','United States',-5.00,'condo',4011.59
'AAAAAAAADHOIAAAA','Miss','Andrew','James','139','Smith Lincoln','Lane','Suite 360','Stringtown','Coweta County','GA','30162','United States',-5.00,'condo',2834.91
'AAAAAAAADJABAAAA','Mrs.','Charity','Arroyo','158','Highland Elm','Ln','Suite K','Woodland','Pickens County','GA','34854','United States',-5.00,'apartment',2443.75
'AAAAAAAADJJMAAAA','Dr.','Joseph','Burns','339','12th ','Blvd','Suite S','Hamilton','Banks County','GA','32808','United States',-5.00,'condo',2670.84
'AAAAAAAADJODAAAA','Dr.','Larry','Phillips','612','Mill Church','Blvd','Suite 0','Sunnyside','Fannin County','GA','31952','United States',-5.00,'single family',7260.82
'AAAAAAAADKKGAAAA','Sir','Robert','Patrick','638','Fourth ','Cir.','Suite 250','Lebanon','Clay County','GA','32898','United States',-5.00,'condo',9049.72
'AAAAAAAADMDHAAAA','Mr.','Samuel','Wells','877','Highland East','Road','Suite I','Valley View','Bartow County','GA','35124','United States',-5.00,'single family',4490.95
'AAAAAAAADNIBBAAA','Miss','Sharon','Prince','955','Walnut Ridge','Boulevard','Suite W','Cedar Grove','Troup County','GA','30411','United States',-5.00,'condo',2158.11
'AAAAAAAADNOGBAAA','Dr.','David','Lofton','327','11th Central','Parkway','Suite D','White Oak','Glynn County','GA','36668','United States',-5.00,'single family',1971.52
'AAAAAAAADOBCBAAA','Dr.','Benjamin','Pham','300','Willow Sycamore','Blvd','Suite 380','Liberty','Twiggs County','GA','33451','United States',-5.00,'apartment',1787.84
'AAAAAAAADOFNAAAA','Mrs.','Sebrina','Jacobs','611','Center ','Avenue','Suite 210','Glenwood','Ware County','GA','33511','United States',-5.00,'condo',5738.75
'AAAAAAAAEAFJAAAA','Mr.','Gregory','Quigley','932','Maple ','Avenue','Suite 300','Glendale','Butts County','GA','33951','United States',-5.00,'single family',2621.58
'AAAAAAAAEAJGBAAA','Miss','Helen','Flora','38','Park ','Circle','Suite 360','Florence','Pike County','GA','33394','United States',-5.00,'apartment',2804.13
'AAAAAAAAEBDFAAAA','Mr.','Ed','Chavis','276','Pine Hill','Boulevard','Suite 150','Shiloh','Lincoln County','GA','39275','United States',-5.00,'single family',1800.04
'AAAAAAAAECIHAAAA','Sir','Gilberto','Mcdonald','615','10th ','Blvd','Suite 150','Oakdale','Glynn County','GA','39584','United States',-5.00,'apartment',6023.68
'AAAAAAAAECOGBAAA','Dr.','David','Lamb','436','Second Elm','Way','Suite 30','Green Acres','Laurens County','GA','37683','United States',-5.00,'single family',4778.71
'AAAAAAAAEDOAAAAA','Dr.','NULL','Finley','899','Willow Pine','ST','Suite 160','Clinton','Peach County','GA','38222','United States',-5.00,'condo',18954.78
'AAAAAAAAEEFEBAAA','Mr.','Gordon','Lee','444','Park Jackson','Boulevard','Suite 150','Kingston','Mitchell County','GA','34975','United States',-5.00,'single family',2499.41
'AAAAAAAAEFMHBAAA','Ms.','Anne','Busby','724','Second ','ST','Suite 20','Union Hill','Pulaski County','GA','37746','United States',-5.00,'condo',2866.95
'AAAAAAAAEGOJAAAA','Miss','Caroline','Miller','719','Smith ','RD','Suite M','Empire','Oglethorpe County','GA','34145','United States',-5.00,'single family',7530.99
'AAAAAAAAEHCIAAAA','Ms.','Laura','Wright','816','Main ','Ln','Suite 300','Sunnyside','Emanuel County','GA','31952','United States',-5.00,'apartment',2767.59
'AAAAAAAAEHPBAAAA','Dr.','Paula','Bearden','932','Williams Forest','Ln','Suite 10','Allentown','Long County','GA','31838','United States',-5.00,'single family',12021.15
'AAAAAAAAEJFNAAAA','Dr.','Chad','Baldwin','404','Cedar ','Ct.','Suite Y','Enterprise','Treutlen County','GA','31757','United States',-5.00,'apartment',1737.56
'AAAAAAAAEJJDAAAA','Ms.','Katherine','Hernandez','741','Park Jefferson','ST','Suite 270','Oak Ridge','McIntosh County','GA','38371','United States',-5.00,'single family',6714.64
'AAAAAAAAEKGABAAA','Sir','Steven','Thurman','638','Park Green','Ct.','Suite 270','Lakeside','Wayne County','GA','39532','United States',-5.00,'single family',1662.14
'AAAAAAAAEKJGBAAA','Sir','Kurt','Jenkins','656','8th ','Dr.','Suite E','Franklin','Heard County','GA','39101','United States',-5.00,'apartment',1607.08
'AAAAAAAAELCGBAAA','Sir','Harold','Randolph','535','Lee ','RD','Suite 160','Sutton','Bacon County','GA','35413','United States',-5.00,'apartment',4737.51
'AAAAAAAAELJAAAAA','Miss','Gwendolyn','Johnson','482','Sunset Spring','Ave','Suite J','Mount Olive','Madison County','GA','38059','United States',-5.00,'apartment',7387.08
'AAAAAAAAENFHBAAA','Dr.','Janice','Ojeda','127','Williams 5th','Ave','Suite 280','Walnut Grove','Burke County','GA','37752','United States',-5.00,'condo',4838.93
'AAAAAAAAEOBHAAAA','Miss','Janet','Mcculloch','379','Spring Eigth','Street','Suite R','Cedar Grove','Wilcox County','GA','30411','United States',-5.00,'single family',7581.20
'AAAAAAAAEOGGAAAA','Sir','Christopher','Garrett','308','Broadway 4th','Lane','Suite 360','Sunnyside','Coffee County','GA','31952','United States',-5.00,'apartment',3279.85
'AAAAAAAAEPBDBAAA','Dr.','Curtis','Briscoe','142','Meadow ','Road','Suite 460','Woodville','Montgomery County','GA','34289','United States',-5.00,'single family',5239.12
'AAAAAAAAFAHCAAAA','Ms.','Anna','Koch','482','Sunset Spring','Ave','Suite J','Mount Olive','Madison County','GA','38059','United States',-5.00,'apartment',1858.37
'AAAAAAAAFANDAAAA','Dr.','Daniel','Wilson','586','Pine Cherry','Street','Suite U','Deerfield','Muscogee County','GA','39840','United States',-5.00,'condo',2774.69
'AAAAAAAAFANDAAAA','Dr.','Daniel','Wilson','586','Pine Cherry','Street','Suite U','Deerfield','Muscogee County','GA','39840','United States',-5.00,'condo',2946.52
---- TYPES
STRING, STRING, STRING, STRING, STRING, STRING, STRING, STRING, STRING, STRING, STRING, STRING, STRING, DECIMAL, STRING, DECIMAL
====

View File

@@ -0,0 +1,22 @@
====
---- QUERY: TPCDS-Q82
select i_item_id
,i_item_desc
,i_current_price
from item, inventory, date_dim, store_sales
where i_current_price between 62 and 62+30
and inv_item_sk = i_item_sk
and d_date_sk=inv_date_sk
and cast(d_date as timestamp) between cast('2000-05-25' as timestamp) and (cast('2000-05-25' as timestamp) + interval 60 days)
and i_manufact_id in (129,270,821,423)
and inv_quantity_on_hand between 100 and 500
and ss_item_sk = i_item_sk
group by i_item_id,i_item_desc,i_current_price
order by i_item_id
limit 100;
---- RESULTS
'AAAAAAAAECMCAAAA','Rather vast companies pose quiet, actual carers. Close times take only simple possibilities. Current events might say only on a foundation',67.28
'AAAAAAAALIHCAAAA','Things select increased views. Tools imagine for example; ever likely developments live so scottish benefits. Soft, short-term services should give indeed good illu',86.90
---- TYPES
STRING, STRING, DECIMAL
====

View File

@@ -0,0 +1,49 @@
====
---- QUERY: TPCDS-Q84
select c_customer_id as customer_id
,concat(coalesce(c_last_name,''), ', ', coalesce(c_first_name,'')) as customername
from customer
,customer_address
,customer_demographics
,household_demographics
,income_band
,store_returns
where ca_city = 'Edgewood'
and c_current_addr_sk = ca_address_sk
and ib_lower_bound >= 38128
and ib_upper_bound <= 38128 + 50000
and ib_income_band_sk = hd_income_band_sk
and cd_demo_sk = c_current_cdemo_sk
and hd_demo_sk = c_current_hdemo_sk
and sr_cdemo_sk = cd_demo_sk
order by c_customer_id
limit 100;
---- RESULTS
'AAAAAAAAAIPGAAAA','Carter, Rodney'
'AAAAAAAAAKMBBAAA','Mcarthur, Emma'
'AAAAAAAACBNHBAAA','Wells, Ron'
'AAAAAAAADBMEAAAA','Vera, Tina'
'AAAAAAAADBMEAAAA','Vera, Tina'
'AAAAAAAADHKGBAAA','Scott, Pamela'
'AAAAAAAAEIIBBAAA','Atkins, Susan'
'AAAAAAAAFKAHAAAA','Batiste, Ernest'
'AAAAAAAAGHMAAAAA','Mitchell, Gregory'
'AAAAAAAAIAODBAAA','Murray, Karen'
'AAAAAAAAIEOKAAAA','Solomon, Clyde'
'AAAAAAAAIIBOAAAA','Owens, David'
'AAAAAAAAIPDCAAAA','Wallace, Eric'
'AAAAAAAAIPIMAAAA','Hayward, Benjamin'
'AAAAAAAAJCIKAAAA','Ramos, Donald'
'AAAAAAAAKFJEAAAA','Roberts, Yvonne'
'AAAAAAAAKPGBBAAA','Moore, '
'AAAAAAAALCLABAAA','Whitaker, Lettie'
'AAAAAAAAMGMEAAAA','Sharp, Michael'
'AAAAAAAAMIGBBAAA','Montgomery, Jesenia'
'AAAAAAAAMPDKAAAA','Lopez, Isabel'
'AAAAAAAANEOMAAAA','Powell, Linda'
'AAAAAAAANKPCAAAA','Shaffer, Sergio'
'AAAAAAAANOCKAAAA','Vargas, James'
'AAAAAAAAOGJEBAAA','Owens, Denice'
---- TYPES
STRING, STRING
====

View File

@@ -0,0 +1,139 @@
====
---- QUERY: TPCDS-Q86A
-- RESULT MISMATCH FROM ORIGINAL
-- FIXED. TAKE ACTUAL RESULT AS EXPECTED
with results as
( select sum(ws_net_paid) as total_sum, i_category, i_class, 0 as g_category, 0 as g_class
from
web_sales
,date_dim d1
,item
where
d1.d_month_seq between 1200 and 1200+11
and d1.d_date_sk = ws_sold_date_sk
and i_item_sk = ws_item_sk
group by i_category,i_class
) ,
results_rollup as
( select total_sum ,i_category ,i_class, g_category, g_class, 0 as lochierarchy from results
union
select sum(total_sum) as total_sum, i_category, NULL as i_class, 0 as g_category, 1 as g_class, 1 as lochierarchy from results group by i_category
union
select sum(total_sum) as total_sum, NULL as i_category, NULL as i_class, 1 as g_category, 1 as g_class, 2 as lochierarchy from results)
select
total_sum ,i_category ,i_class, lochierarchy
,rank() over (
partition by lochierarchy,
case when g_class = 0 then i_category end
order by total_sum desc) as rank_within_parent
from
results_rollup
order by
lochierarchy desc,
case when lochierarchy = 0 then i_category end,
rank_within_parent
limit 100;
---- RESULTS
325552630.64,'NULL','NULL',2,1
33602545.41,'Shoes','NULL',1,1
33399717.80,'Music','NULL',1,2
33061835.62,'Women','NULL',1,3
32942681.04,'Books','NULL',1,4
32233369.67,'Men','NULL',1,5
32135907.22,'Electronics','NULL',1,6
32027085.12,'Jewelry','NULL',1,7
31908139.65,'Sports','NULL',1,8
31877378.15,'Children','NULL',1,9
31428816.29,'Home','NULL',1,10
935154.67,'NULL','NULL',1,11
2981755.34,'Books','history',0,1
2533681.90,'Books','romance',0,2
2513406.90,'Books','computers',0,3
2359621.74,'Books','fiction',0,4
2220829.36,'Books','home repair',0,5
2132619.93,'Books','reference',0,6
2023862.05,'Books','travel',0,7
1938302.12,'Books','parenting',0,8
1916049.65,'Books','science',0,9
1904474.64,'Books','business',0,10
1903280.30,'Books','sports',0,11
1819360.79,'Books','self-help',0,12
1817324.19,'Books','mystery',0,13
1698653.10,'Books','entertainments',0,14
1641874.01,'Books','cooking',0,15
1453516.79,'Books','arts',0,16
84068.23,'Books','NULL',0,17
8603692.12,'Children','infants',0,1
7982811.62,'Children','toddlers',0,2
7716135.48,'Children','school-uniforms',0,3
7529560.01,'Children','newborn',0,4
45178.92,'Children','NULL',0,5
2625503.90,'Electronics','dvd/vcr players',0,1
2351244.66,'Electronics','televisions',0,2
2283231.32,'Electronics','memory',0,3
2262599.89,'Electronics','stereo',0,4
2257811.83,'Electronics','karoke',0,5
2235218.27,'Electronics','monitors',0,6
2228844.29,'Electronics','scanners',0,7
1948029.88,'Electronics','wireless',0,8
1894729.95,'Electronics','disk drives',0,9
1838653.07,'Electronics','automotive',0,10
1793728.96,'Electronics','portable',0,11
1768939.49,'Electronics','cameras',0,12
1733994.95,'Electronics','musical',0,13
1730490.24,'Electronics','personal',0,14
1670511.23,'Electronics','camcorders',0,15
1512375.29,'Electronics','audio',0,16
2408305.34,'Home','paint',0,1
2349779.93,'Home','curtains/drapes',0,2
2306676.63,'Home','bedding',0,3
2284168.74,'Home','flatware',0,4
2269734.86,'Home','glassware',0,5
2112112.73,'Home','lighting',0,6
2085612.39,'Home','bathroom',0,7
1924834.23,'Home','mattresses',0,8
1868688.89,'Home','tables',0,9
1820604.22,'Home','furniture',0,10
1816997.04,'Home','decor',0,11
1805905.27,'Home','kids',0,12
1788142.30,'Home','blinds/shades',0,13
1570699.11,'Home','accent',0,14
1503088.13,'Home','rugs',0,15
1457642.85,'Home','wallpaper',0,16
55823.63,'Home','NULL',0,17
2754963.88,'Jewelry','jewelry boxes',0,1
2346470.04,'Jewelry','pendants',0,2
2308524.13,'Jewelry','rings',0,3
2216602.19,'Jewelry','custom',0,4
2141484.71,'Jewelry','gold',0,5
2105589.88,'Jewelry','estate',0,6
2105536.74,'Jewelry','womens watch',0,7
2057556.93,'Jewelry','mens watch',0,8
1964085.08,'Jewelry','costume',0,9
1838748.38,'Jewelry','birdal',0,10
1820456.21,'Jewelry','earings',0,11
1811297.48,'Jewelry','loose stones',0,12
1738088.37,'Jewelry','diamonds',0,13
1636759.38,'Jewelry','semi-precious',0,14
1625306.26,'Jewelry','bracelets',0,15
1457032.40,'Jewelry','consignment',0,16
98583.06,'Jewelry','NULL',0,17
8968117.21,'Men','shirts',0,1
8079270.31,'Men','sports-apparel',0,2
7734264.66,'Men','accessories',0,3
7451717.49,'Men','pants',0,4
9196797.97,'Music','classical',0,1
8755969.85,'Music','pop',0,2
8444376.89,'Music','country',0,3
6891047.77,'Music','rock',0,4
111525.32,'Music','NULL',0,5
8938639.40,'Shoes','mens',0,1
8290473.41,'Shoes','kids',0,2
8241359.70,'Shoes','womens',0,3
8132072.90,'Shoes','athletic',0,4
2530419.12,'Sports','golf',0,1
2513869.92,'Sports','athletic shoes',0,2
2340416.63,'Sports','outdoor',0,3
---- TYPES
DECIMAL, STRING, STRING, TINYINT, BIGINT
====

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@@ -1,131 +0,0 @@
====
---- QUERY: TPCDS-Q89
select *
from(
select i_category, i_class, i_brand,
s_store_name, s_company_name,
d_moy,
sum(ss_sales_price) sum_sales,
avg(sum(ss_sales_price)) over
(partition by i_category, i_brand, s_store_name, s_company_name)
avg_monthly_sales
from item, store_sales, date_dim, store
where ss_item_sk = i_item_sk and
ss_sold_date_sk = d_date_sk and
ss_store_sk = s_store_sk and
d_year in (1999) and
((i_category in ('Books','Electronics','Sports') and
i_class in ('computers','stereo','football')
)
or (i_category in ('Men','Jewelry','Women') and
i_class in ('shirts','birdal','dresses')
))
group by i_category, i_class, i_brand,
s_store_name, s_company_name, d_moy) tmp1
where case when (avg_monthly_sales <> 0) then (abs(sum_sales - avg_monthly_sales) / avg_monthly_sales) else null end > 0.1
order by sum_sales - avg_monthly_sales, s_store_name
limit 100;
---- RESULTS
'Men','shirts','importoimporto #1','ese','Unknown',3,2070.65,5492.81
'Men','shirts','importoimporto #1','ought','Unknown',6,2152.15,5045.75
'Men','shirts','importoimporto #1','able','Unknown',2,2333.43,5194.81
'Men','shirts','importoimporto #1','ese','Unknown',6,2691.33,5492.81
'Men','shirts','importoimporto #1','ought','Unknown',2,2253.70,5045.75
'Women','dresses','amalgamalg #1','able','Unknown',6,1761.81,4507.24
'Men','shirts','importoimporto #1','ation','Unknown',3,2672.68,5410.91
'Men','shirts','importoimporto #1','ation','Unknown',5,2677.81,5410.91
'Men','shirts','importoimporto #1','eing','Unknown',5,2356.88,5074.07
'Men','shirts','importoimporto #1','ese','Unknown',4,2784.11,5492.81
'Women','dresses','amalgamalg #1','ought','Unknown',7,1926.67,4619.70
'Women','dresses','amalgamalg #1','ought','Unknown',1,2065.94,4619.70
'Men','shirts','importoimporto #1','ation','Unknown',6,2881.34,5410.91
'Men','shirts','importoimporto #1','able','Unknown',3,2674.91,5194.81
'Women','dresses','amalgamalg #1','ation','Unknown',2,2192.31,4690.89
'Men','shirts','importoimporto #1','bar','Unknown',5,2475.90,4973.50
'Women','dresses','amalgamalg #1','ese','Unknown',2,2146.52,4642.99
'Men','shirts','importoimporto #1','eing','Unknown',2,2588.02,5074.07
'Women','dresses','amalgamalg #1','bar','Unknown',7,2428.75,4914.11
'Women','dresses','amalgamalg #1','bar','Unknown',3,2451.51,4914.11
'Men','shirts','importoimporto #1','ation','Unknown',7,2951.67,5410.91
'Men','shirts','importoimporto #1','able','Unknown',1,2765.75,5194.81
'Women','dresses','amalgamalg #1','able','Unknown',2,2082.54,4507.24
'Men','shirts','importoimporto #1','ation','Unknown',4,2988.08,5410.91
'Men','shirts','importoimporto #1','ought','Unknown',7,2667.92,5045.75
'Women','dresses','amalgamalg #1','bar','Unknown',4,2549.27,4914.11
'Women','dresses','amalgamalg #1','ese','Unknown',7,2307.00,4642.99
'Women','dresses','amalgamalg #1','eing','Unknown',4,2204.15,4528.82
'Men','shirts','importoimporto #1','able','Unknown',7,2880.34,5194.81
'Men','shirts','importoimporto #1','ese','Unknown',5,3210.74,5492.81
'Women','dresses','amalgamalg #1','ation','Unknown',4,2418.39,4690.89
'Men','shirts','importoimporto #1','eing','Unknown',4,2833.40,5074.07
'Women','dresses','amalgamalg #1','bar','Unknown',2,2692.79,4914.11
'Men','shirts','importoimporto #1','eing','Unknown',6,2854.62,5074.07
'Women','dresses','amalgamalg #1','eing','Unknown',6,2314.71,4528.82
'Men','shirts','importoimporto #1','ought','Unknown',5,2834.94,5045.75
'Women','dresses','amalgamalg #1','ation','Unknown',5,2480.25,4690.89
'Women','dresses','amalgamalg #1','able','Unknown',7,2302.21,4507.24
'Women','dresses','amalgamalg #1','ation','Unknown',6,2501.15,4690.89
'Men','shirts','importoimporto #1','ese','Unknown',2,3307.78,5492.81
'Men','shirts','importoimporto #1','able','Unknown',5,3016.43,5194.81
'Men','shirts','importoimporto #1','able','Unknown',4,3040.23,5194.81
'Women','dresses','amalgamalg #1','eing','Unknown',5,2420.31,4528.82
'Women','dresses','amalgamalg #1','ese','Unknown',5,2535.80,4642.99
'Women','dresses','amalgamalg #1','ought','Unknown',2,2521.70,4619.70
'Men','shirts','importoimporto #1','bar','Unknown',3,2877.96,4973.50
'Women','dresses','amalgamalg #1','ese','Unknown',3,2577.15,4642.99
'Women','dresses','amalgamalg #1','ation','Unknown',7,2637.27,4690.89
'Men','shirts','importoimporto #1','ation','Unknown',1,3380.16,5410.91
'Women','dresses','amalgamalg #1','eing','Unknown',7,2524.32,4528.82
'Men','shirts','importoimporto #1','bar','Unknown',4,2986.70,4973.50
'Women','dresses','amalgamalg #1','ought','Unknown',4,2648.80,4619.70
'Men','shirts','importoimporto #1','bar','Unknown',7,3026.41,4973.50
'Women','dresses','amalgamalg #1','ation','Unknown',3,2751.11,4690.89
'Men','shirts','importoimporto #1','bar','Unknown',2,3073.45,4973.50
'Men','shirts','importoimporto #1','eing','Unknown',3,3179.96,5074.07
'Women','dresses','amalgamalg #1','ation','Unknown',1,2797.07,4690.89
'Women','dresses','amalgamalg #1','able','Unknown',1,2621.05,4507.24
'Women','dresses','amalgamalg #1','ese','Unknown',4,2808.36,4642.99
'Women','dresses','amalgamalg #2','bar','Unknown',6,680.47,2506.96
'Men','shirts','importoimporto #1','ation','Unknown',2,3591.65,5410.91
'Women','dresses','amalgamalg #1','able','Unknown',3,2706.15,4507.24
'Women','dresses','amalgamalg #2','eing','Unknown',2,773.08,2569.34
'Men','shirts','importoimporto #1','bar','Unknown',6,3199.08,4973.50
'Men','shirts','importoimporto #1','ese','Unknown',7,3754.33,5492.81
'Women','dresses','amalgamalg #1','bar','Unknown',5,3190.77,4914.11
'Women','dresses','amalgamalg #1','eing','Unknown',2,2841.88,4528.82
'Men','shirts','importoimporto #1','able','Unknown',6,3538.25,5194.81
'Women','dresses','amalgamalg #1','ese','Unknown',6,3006.94,4642.99
'Women','dresses','amalgamalg #1','bar','Unknown',1,3284.93,4914.11
'Women','dresses','amalgamalg #2','bar','Unknown',5,878.42,2506.96
'Women','dresses','amalgamalg #1','able','Unknown',5,2891.95,4507.24
'Men','shirts','importoimporto #1','eing','Unknown',7,3465.77,5074.07
'Women','dresses','amalgamalg #2','eing','Unknown',3,964.29,2569.34
'Women','dresses','amalgamalg #1','bar','Unknown',6,3324.49,4914.11
'Men','shirts','importoimporto #1','ought','Unknown',3,3467.09,5045.75
'Women','dresses','amalgamalg #1','ought','Unknown',5,3049.25,4619.70
'Women','dresses','amalgamalg #1','eing','Unknown',3,2978.07,4528.82
'Men','shirts','importoimporto #1','ought','Unknown',4,3544.97,5045.75
'Men','shirts','importoimporto #1','bar','Unknown',1,3490.62,4973.50
'Men','shirts','importoimporto #2','able','Unknown',2,628.63,2095.47
'Men','shirts','importoimporto #1','eing','Unknown',1,3628.21,5074.07
'Women','dresses','amalgamalg #1','able','Unknown',4,3082.17,4507.24
'Men','shirts','importoimporto #2','eing','Unknown',5,765.86,2137.65
'Women','dresses','amalgamalg #2','ation','Unknown',4,1064.70,2431.22
'Women','dresses','amalgamalg #2','ought','Unknown',3,991.89,2355.44
'Women','dresses','amalgamalg #2','eing','Unknown',5,1211.13,2569.34
'Women','dresses','amalgamalg #2','ation','Unknown',7,1078.41,2431.22
'Men','shirts','importoimporto #2','ation','Unknown',4,807.67,2141.06
'Women','dresses','amalgamalg #2','ation','Unknown',2,1102.89,2431.22
'Women','dresses','amalgamalg #2','eing','Unknown',6,1247.86,2569.34
'Women','dresses','amalgamalg #2','able','Unknown',4,1020.39,2337.27
'Men','shirts','importoimporto #2','able','Unknown',7,780.91,2095.47
'Women','dresses','amalgamalg #2','ese','Unknown',2,904.34,2200.82
'Women','dresses','amalgamalg #2','ought','Unknown',7,1061.87,2355.44
'Women','dresses','amalgamalg #2','able','Unknown',3,1054.94,2337.27
'Men','shirts','importoimporto #2','ought','Unknown',6,633.96,1908.05
'Men','shirts','importoimporto #2','ese','Unknown',6,853.37,2113.57
'Women','dresses','amalgamalg #2','able','Unknown',5,1084.94,2337.27
'Women','dresses','amalgamalg #2','eing','Unknown',4,1317.08,2569.34
---- TYPES
STRING, STRING, STRING, STRING, STRING, INT, DECIMAL, DECIMAL
====

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====
---- QUERY: TPCDS-Q91
select
cc_call_center_id Call_Center,
cc_name Call_Center_Name,
cc_manager Manager,
sum(cr_net_loss) Returns_Loss
from
call_center,
catalog_returns,
date_dim,
customer,
customer_address,
customer_demographics,
household_demographics
where
cr_call_center_sk = cc_call_center_sk
and cr_returned_date_sk = d_date_sk
and cr_returning_customer_sk= c_customer_sk
and cd_demo_sk = c_current_cdemo_sk
and hd_demo_sk = c_current_hdemo_sk
and ca_address_sk = c_current_addr_sk
and d_year = 1998
and d_moy = 11
and ( (cd_marital_status = 'M' and cd_education_status = 'Unknown')
or(cd_marital_status = 'W' and cd_education_status = 'Advanced Degree'))
and hd_buy_potential like 'Unknown%'
and ca_gmt_offset = -7
group by cc_call_center_id,cc_name,cc_manager,cd_marital_status,cd_education_status
order by sum(cr_net_loss) desc;
---- RESULTS
'AAAAAAAACAAAAAAA','Mid Atlantic','Felipe Perkins',109.74
---- TYPES
STRING, STRING, STRING, DECIMAL
====

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@@ -0,0 +1,34 @@
====
---- QUERY: TPCDS-Q92
select
sum(ws_ext_discount_amt) as "Excess Discount Amount"
from
web_sales
,item
,date_dim
where
i_manufact_id = 350
and i_item_sk = ws_item_sk
and cast(d_date as timestamp) between cast('2000-01-27' as timestamp) and
(cast('2000-01-27' as timestamp) + interval 90 days)
and d_date_sk = ws_sold_date_sk
and ws_ext_discount_amt
> (
SELECT
1.3 * avg(ws_ext_discount_amt)
FROM
web_sales
,date_dim
WHERE
ws_item_sk = i_item_sk
and cast(d_date as timestamp) between cast('2000-01-27' as timestamp) and
(cast('2000-01-27' as timestamp) + interval 90 days)
and d_date_sk = ws_sold_date_sk
)
order by sum(ws_ext_discount_amt)
limit 100;
---- RESULTS
39529.71
---- TYPES
DECIMAL
====

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@@ -0,0 +1,33 @@
====
---- QUERY: TPCDS-Q94
select
count(distinct ws_order_number) as "order count"
,sum(ws_ext_ship_cost) as "total shipping cost"
,sum(ws_net_profit) as "total net profit"
from
web_sales ws1
,date_dim
,customer_address
,web_site
where
cast(d_date as timestamp) between cast('1999-02-01' as timestamp) and
(cast('1999-02-01' as timestamp) + interval 60 days)
and ws1.ws_ship_date_sk = d_date_sk
and ws1.ws_ship_addr_sk = ca_address_sk
and ca_state = 'IL'
and ws1.ws_web_site_sk = web_site_sk
and web_company_name = 'pri'
and exists (select *
from web_sales ws2
where ws1.ws_order_number = ws2.ws_order_number
and ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk)
and not exists(select *
from web_returns wr1
where ws1.ws_order_number = wr1.wr_order_number)
order by count(distinct ws_order_number)
limit 100;
---- RESULTS
33,64554.35,-3979.35
---- TYPES
BIGINT, DECIMAL, DECIMAL
====

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@@ -0,0 +1,36 @@
====
---- QUERY: TPCDS-Q95
with ws_wh as
(select ws1.ws_order_number,ws1.ws_warehouse_sk wh1,ws2.ws_warehouse_sk wh2
from web_sales ws1,web_sales ws2
where ws1.ws_order_number = ws2.ws_order_number
and ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk)
select
count(distinct ws_order_number) as "order count"
,sum(ws_ext_ship_cost) as "total shipping cost"
,sum(ws_net_profit) as "total net profit"
from
web_sales ws1
,date_dim
,customer_address
,web_site
where
cast(d_date as timestamp) between cast('1999-02-01' as timestamp) and
(cast('1999-02-01' as timestamp) + interval 60 days)
and ws1.ws_ship_date_sk = d_date_sk
and ws1.ws_ship_addr_sk = ca_address_sk
and ca_state = 'IL'
and ws1.ws_web_site_sk = web_site_sk
and web_company_name = 'pri'
and ws1.ws_order_number in (select ws_order_number
from ws_wh)
and ws1.ws_order_number in (select wr_order_number
from web_returns,ws_wh
where wr_order_number = ws_wh.ws_order_number)
order by count(distinct ws_order_number)
limit 100;
---- RESULTS
73,120440.34,42133.12
---- TYPES
BIGINT, DECIMAL, DECIMAL
====

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@@ -0,0 +1,29 @@
====
---- QUERY: TPCDS-Q97
with ssci as (
select ss_customer_sk customer_sk
,ss_item_sk item_sk
from store_sales,date_dim
where ss_sold_date_sk = d_date_sk
and d_month_seq between 1200 and 1200 + 11
group by ss_customer_sk
,ss_item_sk),
csci as(
select cs_bill_customer_sk customer_sk
,cs_item_sk item_sk
from catalog_sales,date_dim
where cs_sold_date_sk = d_date_sk
and d_month_seq between 1200 and 1200 + 11
group by cs_bill_customer_sk
,cs_item_sk)
select sum(case when ssci.customer_sk is not null and csci.customer_sk is null then 1 else 0 end) store_only
,sum(case when ssci.customer_sk is null and csci.customer_sk is not null then 1 else 0 end) catalog_only
,sum(case when ssci.customer_sk is not null and csci.customer_sk is not null then 1 else 0 end) store_and_catalog
from ssci full outer join csci on (ssci.customer_sk=csci.customer_sk
and ssci.item_sk = csci.item_sk)
limit 100;
---- RESULTS
540401,286628,174
---- TYPES
BIGINT, BIGINT, BIGINT
====

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====
---- QUERY: TPCDS-Q99
select
substr(w_warehouse_name,1,20)
,sm_type
,cc_name
,sum(case when (cs_ship_date_sk - cs_sold_date_sk <= 30 ) then 1 else 0 end) as "30 days"
,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 30) and
(cs_ship_date_sk - cs_sold_date_sk <= 60) then 1 else 0 end ) as "31-60 days"
,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 60) and
(cs_ship_date_sk - cs_sold_date_sk <= 90) then 1 else 0 end) as "61-90 days"
,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 90) and
(cs_ship_date_sk - cs_sold_date_sk <= 120) then 1 else 0 end) as "91-120 days"
,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 120) then 1 else 0 end) as ">120 days"
from
catalog_sales
,warehouse
,ship_mode
,call_center
,date_dim
where
d_month_seq between 1200 and 1200 + 11
and cs_ship_date_sk = d_date_sk
and cs_warehouse_sk = w_warehouse_sk
and cs_ship_mode_sk = sm_ship_mode_sk
and cs_call_center_sk = cc_call_center_sk
group by
substr(w_warehouse_name,1,20)
,sm_type
,cc_name
order by substr(w_warehouse_name,1,20)
,sm_type
,cc_name
limit 100;
---- RESULTS
'Bad cards must make.','EXPRESS','Mid Atlantic',1270,1318,1281,0,0
'Bad cards must make.','EXPRESS','NY Metro',1226,1287,1282,0,0
'Bad cards must make.','EXPRESS','North Midwest',1208,1242,1294,0,0
'Bad cards must make.','LIBRARY','Mid Atlantic',962,976,1009,0,0
'Bad cards must make.','LIBRARY','NY Metro',978,984,999,0,0
'Bad cards must make.','LIBRARY','North Midwest',898,959,958,0,0
'Bad cards must make.','NEXT DAY','Mid Atlantic',1225,1328,1327,0,0
'Bad cards must make.','NEXT DAY','NY Metro',1262,1325,1246,0,0
'Bad cards must make.','NEXT DAY','North Midwest',1227,1300,1276,0,0
'Bad cards must make.','OVERNIGHT','Mid Atlantic',956,935,990,0,0
'Bad cards must make.','OVERNIGHT','NY Metro',982,930,993,0,0
'Bad cards must make.','OVERNIGHT','North Midwest',907,990,955,0,0
'Bad cards must make.','REGULAR','Mid Atlantic',928,974,1005,0,0
'Bad cards must make.','REGULAR','NY Metro',942,1009,948,0,0
'Bad cards must make.','REGULAR','North Midwest',921,968,925,0,0
'Bad cards must make.','TWO DAY','Mid Atlantic',954,971,979,0,0
'Bad cards must make.','TWO DAY','NY Metro',947,1013,952,0,0
'Bad cards must make.','TWO DAY','North Midwest',904,930,947,0,0
'Conventional childr','EXPRESS','Mid Atlantic',1214,1296,1243,0,0
'Conventional childr','EXPRESS','NY Metro',1284,1331,1277,0,0
'Conventional childr','EXPRESS','North Midwest',1180,1287,1226,0,0
'Conventional childr','LIBRARY','Mid Atlantic',990,1008,962,0,0
'Conventional childr','LIBRARY','NY Metro',983,976,981,0,0
'Conventional childr','LIBRARY','North Midwest',925,892,953,0,0
'Conventional childr','NEXT DAY','Mid Atlantic',1284,1315,1274,0,0
'Conventional childr','NEXT DAY','NY Metro',1288,1280,1284,0,0
'Conventional childr','NEXT DAY','North Midwest',1249,1278,1308,0,0
'Conventional childr','OVERNIGHT','Mid Atlantic',897,973,926,0,0
'Conventional childr','OVERNIGHT','NY Metro',958,963,897,0,0
'Conventional childr','OVERNIGHT','North Midwest',942,934,937,0,0
'Conventional childr','REGULAR','Mid Atlantic',941,1007,945,0,0
'Conventional childr','REGULAR','NY Metro',949,928,987,0,0
'Conventional childr','REGULAR','North Midwest',920,927,925,0,0
'Conventional childr','TWO DAY','Mid Atlantic',926,979,1047,0,0
'Conventional childr','TWO DAY','NY Metro',925,1007,962,0,0
'Conventional childr','TWO DAY','North Midwest',879,980,971,0,0
'Doors canno','EXPRESS','Mid Atlantic',1240,1245,1267,0,0
'Doors canno','EXPRESS','NY Metro',1234,1270,1349,0,0
'Doors canno','EXPRESS','North Midwest',1185,1238,1197,0,0
'Doors canno','LIBRARY','Mid Atlantic',873,974,948,0,0
'Doors canno','LIBRARY','NY Metro',987,1005,990,0,0
'Doors canno','LIBRARY','North Midwest',947,952,1025,0,0
'Doors canno','NEXT DAY','Mid Atlantic',1264,1276,1185,0,0
'Doors canno','NEXT DAY','NY Metro',1263,1337,1310,0,0
'Doors canno','NEXT DAY','North Midwest',1202,1247,1278,0,0
'Doors canno','OVERNIGHT','Mid Atlantic',912,888,934,0,0
'Doors canno','OVERNIGHT','NY Metro',942,1003,959,0,0
'Doors canno','OVERNIGHT','North Midwest',896,903,911,0,0
'Doors canno','REGULAR','Mid Atlantic',888,953,974,0,0
'Doors canno','REGULAR','NY Metro',971,1028,946,0,0
'Doors canno','REGULAR','North Midwest',937,974,914,0,0
'Doors canno','TWO DAY','Mid Atlantic',974,898,985,0,0
'Doors canno','TWO DAY','NY Metro',982,1017,997,0,0
'Doors canno','TWO DAY','North Midwest',985,937,959,0,0
'Important issues liv','EXPRESS','Mid Atlantic',1322,1329,1293,0,0
'Important issues liv','EXPRESS','NY Metro',1301,1300,1239,0,0
'Important issues liv','EXPRESS','North Midwest',1266,1228,1285,0,0
'Important issues liv','LIBRARY','Mid Atlantic',988,997,925,0,0
'Important issues liv','LIBRARY','NY Metro',947,963,988,0,0
'Important issues liv','LIBRARY','North Midwest',937,972,964,0,0
'Important issues liv','NEXT DAY','Mid Atlantic',1221,1268,1217,0,0
'Important issues liv','NEXT DAY','NY Metro',1281,1311,1310,0,0
'Important issues liv','NEXT DAY','North Midwest',1219,1214,1327,0,0
'Important issues liv','OVERNIGHT','Mid Atlantic',929,1018,991,0,0
'Important issues liv','OVERNIGHT','NY Metro',950,965,931,0,0
'Important issues liv','OVERNIGHT','North Midwest',936,989,932,0,0
'Important issues liv','REGULAR','Mid Atlantic',961,995,949,0,0
'Important issues liv','REGULAR','NY Metro',972,934,1018,0,0
'Important issues liv','REGULAR','North Midwest',905,947,941,0,0
'Important issues liv','TWO DAY','Mid Atlantic',954,982,944,0,0
'Important issues liv','TWO DAY','NY Metro',844,972,1006,0,0
'Important issues liv','TWO DAY','North Midwest',914,969,960,0,0
'NULL','EXPRESS','Mid Atlantic',1223,1314,1257,0,0
'NULL','EXPRESS','NY Metro',1274,1296,1286,0,0
'NULL','EXPRESS','North Midwest',1159,1329,1276,0,0
'NULL','LIBRARY','Mid Atlantic',941,978,948,0,0
'NULL','LIBRARY','NY Metro',886,1001,1009,0,0
'NULL','LIBRARY','North Midwest',917,943,991,0,0
'NULL','NEXT DAY','Mid Atlantic',1304,1264,1349,0,0
'NULL','NEXT DAY','NY Metro',1271,1251,1291,0,0
'NULL','NEXT DAY','North Midwest',1199,1233,1273,0,0
'NULL','OVERNIGHT','Mid Atlantic',965,989,967,0,0
'NULL','OVERNIGHT','NY Metro',979,993,1039,0,0
'NULL','OVERNIGHT','North Midwest',946,1016,905,0,0
'NULL','REGULAR','Mid Atlantic',933,994,997,0,0
'NULL','REGULAR','NY Metro',961,1022,1034,0,0
'NULL','REGULAR','North Midwest',893,921,949,0,0
'NULL','TWO DAY','Mid Atlantic',972,968,972,0,0
'NULL','TWO DAY','NY Metro',926,974,1004,0,0
'NULL','TWO DAY','North Midwest',941,921,981,0,0
---- TYPES
STRING, STRING, STRING, BIGINT, BIGINT, BIGINT, BIGINT, BIGINT
====

View File

@@ -26,7 +26,7 @@ from tests.common.test_dimensions import (
class TestTpcdsQuery(ImpalaTestSuite):
@classmethod
def get_workload(self):
def get_workload(cls):
return 'tpcds'
@classmethod
@@ -52,101 +52,226 @@ class TestTpcdsQuery(ImpalaTestSuite):
self.run_test_case('count', vector)
def test_tpcds_q1(self, vector):
self.run_test_case('tpcds-q1', vector)
self.run_test_case(self.get_workload() + '-q1', vector)
def test_tpcds_q2(self, vector):
self.run_test_case('tpcds-q2', vector)
self.run_test_case(self.get_workload() + '-q2', vector)
def test_tpcds_q3(self, vector):
self.run_test_case('tpcds-q3', vector)
self.run_test_case(self.get_workload() + '-q3', vector)
def test_tpcds_q4(self, vector):
self.run_test_case('tpcds-q4', vector)
self.run_test_case(self.get_workload() + '-q4', vector)
def test_tpcds_q6(self, vector):
self.run_test_case('tpcds-q6', vector)
self.run_test_case(self.get_workload() + '-q6', vector)
def test_tpcds_q7(self, vector):
self.run_test_case('tpcds-q7', vector)
self.run_test_case(self.get_workload() + '-q7', vector)
def test_tpcds_q8(self, vector):
self.run_test_case('tpcds-q8', vector)
self.run_test_case(self.get_workload() + '-q8', vector)
def test_tpcds_q10a(self, vector):
self.run_test_case(self.get_workload() + '-q10a', vector)
def test_tpcds_q11(self, vector):
self.run_test_case(self.get_workload() + '-q11', vector)
def test_tpcds_q12(self, vector):
self.run_test_case(self.get_workload() + '-q12', vector)
def test_tpcds_q13(self, vector):
self.run_test_case(self.get_workload() + '-q13', vector)
def test_tpcds_q15(self, vector):
self.run_test_case(self.get_workload() + '-q15', vector)
def test_tpcds_q16(self, vector):
self.run_test_case(self.get_workload() + '-q16', vector)
def test_tpcds_q17(self, vector):
self.run_test_case(self.get_workload() + '-q17', vector)
def test_tpcds_q18a(self, vector):
self.run_test_case(self.get_workload() + '-q18a', vector)
def test_tpcds_q19(self, vector):
self.run_test_case('tpcds-q19', vector)
self.run_test_case(self.get_workload() + '-q19', vector)
def test_tpcds_q23(self, vector):
self.run_test_case('tpcds-q23-1', vector)
self.run_test_case('tpcds-q23-2', vector)
def test_tpcds_q20(self, vector):
self.run_test_case(self.get_workload() + '-q20', vector)
def test_tpcds_q27(self, vector):
self.run_test_case('tpcds-q27', vector)
self.run_test_case('tpcds-q27a', vector)
def test_tpcds_q21(self, vector):
self.run_test_case(self.get_workload() + '-q21', vector)
def test_tpcds_q28(self, vector):
self.run_test_case('tpcds-q28', vector)
def test_tpcds_q22a(self, vector):
self.run_test_case(self.get_workload() + '-q22a', vector)
def test_tpcds_q25(self, vector):
self.run_test_case(self.get_workload() + '-q25', vector)
def test_tpcds_q29(self, vector):
self.run_test_case(self.get_workload() + '-q29', vector)
def test_tpcds_q32(self, vector):
self.run_test_case(self.get_workload() + '-q32', vector)
def test_tpcds_q33(self, vector):
self.run_test_case(self.get_workload() + '-q33', vector)
def test_tpcds_q34(self, vector):
self.run_test_case('tpcds-q34', vector)
self.run_test_case(self.get_workload() + '-q34', vector)
def test_tpcds_q37(self, vector):
self.run_test_case(self.get_workload() + '-q37', vector)
def test_tpcds_q39_1(self, vector):
self.run_test_case(self.get_workload() + '-q39-1', vector)
def test_tpcds_q39_2(self, vector):
self.run_test_case(self.get_workload() + '-q39-2', vector)
def test_tpcds_q40(self, vector):
self.run_test_case(self.get_workload() + '-q40', vector)
def test_tpcds_q41(self, vector):
self.run_test_case(self.get_workload() + '-q41', vector)
def test_tpcds_q42(self, vector):
self.run_test_case('tpcds-q42', vector)
self.run_test_case(self.get_workload() + '-q42', vector)
def test_tpcds_q43(self, vector):
self.run_test_case('tpcds-q43', vector)
self.run_test_case(self.get_workload() + '-q43', vector)
def test_tpcds_q46(self, vector):
self.run_test_case('tpcds-q46', vector)
self.run_test_case(self.get_workload() + '-q46', vector)
def test_tpcds_q47(self, vector):
self.run_test_case('tpcds-q47', vector)
def test_tpcds_q50(self, vector):
self.run_test_case(self.get_workload() + '-q50', vector)
def test_tpcds_q51(self, vector):
self.run_test_case(self.get_workload() + '-q51', vector)
def test_tpcds_q51a(self, vector):
self.run_test_case(self.get_workload() + '-q51a', vector)
def test_tpcds_q52(self, vector):
self.run_test_case('tpcds-q52', vector)
self.run_test_case(self.get_workload() + '-q52', vector)
def test_tpcds_q53(self, vector):
self.run_test_case('tpcds-q53', vector)
self.run_test_case(self.get_workload() + '-q53', vector)
def test_tpcds_q54(self, vector):
self.run_test_case(self.get_workload() + '-q54', vector)
def test_tpcds_q55(self, vector):
self.run_test_case('tpcds-q55', vector)
self.run_test_case(self.get_workload() + '-q55', vector)
def test_tpcds_q59(self, vector):
self.run_test_case('tpcds-q59', vector)
def test_tpcds_q56(self, vector):
self.run_test_case(self.get_workload() + '-q56', vector)
def test_tpcds_q60(self, vector):
self.run_test_case(self.get_workload() + '-q60', vector)
def test_tpcds_q61(self, vector):
self.run_test_case('tpcds-q61', vector)
self.run_test_case(self.get_workload() + '-q61', vector)
def test_tpcds_q63(self, vector):
self.run_test_case('tpcds-q63', vector)
def test_tpcds_q62(self, vector):
self.run_test_case(self.get_workload() + '-q62', vector)
def test_tpcds_q64(self, vector):
self.run_test_case(self.get_workload() + '-q64', vector)
def test_tpcds_q65(self, vector):
self.run_test_case('tpcds-q65', vector)
self.run_test_case(self.get_workload() + '-q65', vector)
def test_tpcds_q67a(self, vector):
self.run_test_case(self.get_workload() + '-q67a', vector)
def test_tpcds_q68(self, vector):
self.run_test_case('tpcds-q68', vector)
self.run_test_case(self.get_workload() + '-q68', vector)
def test_tpcds_q69(self, vector):
self.run_test_case(self.get_workload() + '-q69', vector)
def test_tpcds_q70a(self, vector):
self.run_test_case(self.get_workload() + '-q70a', vector)
def test_tpcds_q71(self, vector):
self.run_test_case(self.get_workload() + '-q71', vector)
def test_tpcds_q72(self, vector):
self.run_test_case(self.get_workload() + '-q72', vector)
def test_tpcds_q73(self, vector):
self.run_test_case('tpcds-q73', vector)
self.run_test_case(self.get_workload() + '-q73', vector)
def test_tpcds_q74(self, vector):
self.run_test_case(self.get_workload() + '-q74', vector)
def test_tpcds_q75(self, vector):
self.run_test_case(self.get_workload() + '-q75', vector)
def test_tpcds_q76(self, vector):
self.run_test_case(self.get_workload() + '-q76', vector)
def test_tpcds_q77a(self, vector):
self.run_test_case(self.get_workload() + '-q77a', vector)
def test_tpcds_q78(self, vector):
self.run_test_case(self.get_workload() + '-q78', vector)
def test_tpcds_q79(self, vector):
self.run_test_case('tpcds-q79', vector)
self.run_test_case(self.get_workload() + '-q79', vector)
def test_tpcds_q80a(self, vector):
self.run_test_case(self.get_workload() + '-q80a', vector)
def test_tpcds_q81(self, vector):
self.run_test_case(self.get_workload() + '-q81', vector)
def test_tpcds_q82(self, vector):
self.run_test_case(self.get_workload() + '-q82', vector)
def test_tpcds_q84(self, vector):
self.run_test_case(self.get_workload() + '-q84', vector)
def test_tpcds_q86a(self, vector):
self.run_test_case(self.get_workload() + '-q86a', vector)
def test_tpcds_q88(self, vector):
self.run_test_case('tpcds-q88', vector)
self.run_test_case(self.get_workload() + '-q88', vector)
def test_tpcds_q89(self, vector):
self.run_test_case('tpcds-q89', vector)
def test_tpcds_q91(self, vector):
self.run_test_case(self.get_workload() + '-q91', vector)
def test_tpcds_q92(self, vector):
self.run_test_case(self.get_workload() + '-q92', vector)
def test_tpcds_q94(self, vector):
self.run_test_case(self.get_workload() + '-q94', vector)
def test_tpcds_q95(self, vector):
self.run_test_case(self.get_workload() + '-q95', vector)
def test_tpcds_q96(self, vector):
self.run_test_case('tpcds-q96', vector)
self.run_test_case(self.get_workload() + '-q96', vector)
def test_tpcds_q97(self, vector):
self.run_test_case(self.get_workload() + '-q97', vector)
def test_tpcds_q98(self, vector):
self.run_test_case('tpcds-q98', vector)
self.run_test_case(self.get_workload() + '-q98', vector)
def test_tpcds_q99(self, vector):
self.run_test_case(self.get_workload() + '-q99', vector)
class TestTpcdsInsert(ImpalaTestSuite):
@classmethod
def get_workload(self):
return 'tpcds-insert'
return TestTpcdsQuery.get_workload() + '-insert'
@classmethod
def add_test_dimensions(cls):