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impala/testdata/workloads/functional-query/queries/QueryTest/decimal.test
Tim Armstrong 5bbe2fe23d IMPALA-2469: decimal table not found in exhaustive build 
Decimal tables are not generated for all file formats. The
analytic-fns test is run on some of these formats, so fails
when it cannot find the decimal_tiny table. Move the test to
the decimal test that handles this correctly.

Change-Id: Ic23b21ed90496fcc9f2f84cfd3dd92899d00498b
2015-10-05 11:30:41 -07:00

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====
---- QUERY
select count(*),count(c1),count(c2) from decimal_tiny
---- RESULTS
100,100,100
---- TYPES
bigint,bigint,bigint
====
---- QUERY
select * from decimal_tiny where c1 = cast(0.1111 as decimal(5,4))
---- RESULTS
0.1111,101.22222,0.1
---- TYPES
DECIMAL, DECIMAL, DECIMAL
====
---- QUERY
select count(*) from decimal_tiny where c1 != cast(0.1111 as decimal(5,4))
---- RESULTS
99
---- TYPES
bigint
====
---- QUERY
select count(*) from decimal_tiny where c1 = c2
---- RESULTS
0
---- TYPES
bigint
====
---- QUERY
select min(c1), max(c2) from decimal_tiny
---- RESULTS
0.0000,220.99978
---- TYPES
decimal,decimal
====
---- QUERY
select sum(d1), sum(d2), sum(d3), sum(d4), sum(d5) from decimal_tbl
---- RESULTS
161111,3332,13717.2838257900,0.61728394500000000000000000000000000000,12361.02889
---- TYPES
decimal,decimal,decimal,decimal,decimal
====
---- QUERY
select count(*), sum(d1), sum(d2), sum(d3), sum(d4), sum(d5) from decimal_tbl where d6 = 1
---- RESULTS
5,161111,3332,13717.2838257900,0.61728394500000000000000000000000000000,12361.02889
---- TYPES
bigint,decimal,decimal,decimal,decimal,decimal
====
---- QUERY
select count(*), sum(d1), sum(d2), sum(d3), sum(d4), sum(d5) from decimal_tbl where d6 = 0
---- RESULTS
0,NULL,NULL,NULL,NULL,NULL
---- TYPES
bigint,decimal,decimal,decimal,decimal,decimal
====
---- QUERY
select c3, count(*) from decimal_tiny group by c3
---- RESULTS
0.3,10
0.5,10
0.8,10
0.4,10
0.9,10
0.2,10
0.0,10
0.6,10
0.7,10
0.1,10
---- TYPES
decimal,bigint
====
---- QUERY
select c3, max(c1 + c2) from decimal_tiny group by c3
having max(c1 + c2) > cast('225' as decimal(18,5))
---- RESULTS
0.5,226.66540
0.8,230.66536
0.4,225.33208
0.9,231.99868
0.6,227.99872
0.7,229.33204
---- TYPES
decimal,decimal
====
---- QUERY
select ndv(c1), distinctpc(c2), distinctpcsa(c1 + c2) from decimal_tiny
---- RESULTS
98,94,103
---- TYPES
bigint,bigint,bigint
====
---- QUERY
select ndv(d1), distinctpc(d1), distinctpcsa(d1), count(distinct d1)
from decimal_tbl;
---- RESULTS
4,5,4,4
---- TYPES
bigint,bigint,bigint,bigint
====
---- QUERY
select c1 + c2 from decimal_tiny order by 1 limit 5
---- RESULTS
100.00000
101.33332
102.66664
103.99996
105.33328
---- TYPES
decimal
====
---- QUERY
select c1 + c2 from decimal_tiny order by 1 desc limit 5
---- RESULTS
231.99868
230.66536
229.33204
227.99872
226.66540
---- TYPES
decimal
====
---- QUERY
select t1.*,t2.* from decimal_tiny t1
join decimal_tiny t2
on t1.c1=t2.c1
order by t1.c1 desc limit 3
---- RESULTS
10.9989,220.99978,0.9,10.9989,220.99978,0.9
10.8878,219.77756,0.8,10.8878,219.77756,0.8
10.7767,218.55534,0.7,10.7767,218.55534,0.7
---- TYPES
DECIMAL, DECIMAL, DECIMAL, DECIMAL, DECIMAL, DECIMAL
====
---- QUERY
select avg(d1), avg(d2), avg(d3), avg(d4), avg(d5), avg(d6) from decimal_tbl;
---- RESULTS
32222,666,2743.4567651580,0.12345678900000000000000000000000000000,2472.20577,1
---- TYPES
decimal,decimal,decimal,decimal,decimal,decimal
====
---- QUERY
select cast(avg(c1) as decimal(10,4)) as c from decimal_tiny
group by c3 having c > 5.5 order by 1
---- RESULTS
5.5550
5.6661
5.7772
5.8883
5.9994
---- TYPES
decimal
====
---- QUERY
select a.c1 from decimal_tiny a left semi join decimal_tiny b on a.c1=b.c3
---- RESULTS
0.0000
---- TYPES
decimal
====
---- QUERY
select * from decimal_tiny
---- RESULTS
0.0000,100.00000,0.0
0.1111,101.22222,0.1
0.2222,102.44444,0.2
0.3333,103.66666,0.3
0.4444,104.88888,0.4
0.5555,106.11110,0.5
0.6666,107.33332,0.6
0.7777,108.55554,0.7
0.8888,109.77776,0.8
0.9999,110.99998,0.9
1.1110,112.22220,0.0
1.2221,113.44442,0.1
1.3332,114.66664,0.2
1.4443,115.88886,0.3
1.5554,117.11108,0.4
1.6665,118.33330,0.5
1.7776,119.55552,0.6
1.8887,120.77774,0.7
1.9998,121.99996,0.8
2.1109,123.22218,0.9
2.2220,124.44440,0.0
2.3331,125.66662,0.1
2.4442,126.88884,0.2
2.5553,128.11106,0.3
2.6664,129.33328,0.4
2.7775,130.55550,0.5
2.8886,131.77772,0.6
2.9997,132.99994,0.7
3.1108,134.22216,0.8
3.2219,135.44438,0.9
3.3330,136.66660,0.0
3.4441,137.88882,0.1
3.5552,139.11104,0.2
3.6663,140.33326,0.3
3.7774,141.55548,0.4
3.8885,142.77770,0.5
3.9996,143.99992,0.6
4.1107,145.22214,0.7
4.2218,146.44436,0.8
4.3329,147.66658,0.9
4.4440,148.88880,0.0
4.5551,150.11102,0.1
4.6662,151.33324,0.2
4.7773,152.55546,0.3
4.8884,153.77768,0.4
4.9995,154.99990,0.5
5.1106,156.22212,0.6
5.2217,157.44434,0.7
5.3328,158.66656,0.8
5.4439,159.88878,0.9
5.5550,161.11100,0.0
5.6661,162.33322,0.1
5.7772,163.55544,0.2
5.8883,164.77766,0.3
5.9994,165.99988,0.4
6.1105,167.22210,0.5
6.2216,168.44432,0.6
6.3327,169.66654,0.7
6.4438,170.88876,0.8
6.5549,172.11098,0.9
6.6660,173.33320,0.0
6.7771,174.55542,0.1
6.8882,175.77764,0.2
6.9993,176.99986,0.3
7.1104,178.22208,0.4
7.2215,179.44430,0.5
7.3326,180.66652,0.6
7.4437,181.88874,0.7
7.5548,183.11096,0.8
7.6659,184.33318,0.9
7.7770,185.55540,0.0
7.8881,186.77762,0.1
7.9992,187.99984,0.2
8.1103,189.22206,0.3
8.2214,190.44428,0.4
8.3325,191.66650,0.5
8.4436,192.88872,0.6
8.5547,194.11094,0.7
8.6658,195.33316,0.8
8.7769,196.55538,0.9
8.8880,197.77760,0.0
8.9991,198.99982,0.1
9.1102,200.22204,0.2
9.2213,201.44426,0.3
9.3324,202.66648,0.4
9.4435,203.88870,0.5
9.5546,205.11092,0.6
9.6657,206.33314,0.7
9.7768,207.55536,0.8
9.8879,208.77758,0.9
9.9990,209.99980,0.0
10.1101,211.22202,0.1
10.2212,212.44424,0.2
10.3323,213.66646,0.3
10.4434,214.88868,0.4
10.5545,216.11090,0.5
10.6656,217.33312,0.6
10.7767,218.55534,0.7
10.8878,219.77756,0.8
10.9989,220.99978,0.9
---- TYPES
DECIMAL, DECIMAL, DECIMAL
====
---- QUERY
# Test sum() and avg() analytic fns with start bounds (tests Remove() for decimal)
select
sum(c1) over (order by c1 rows between 5 preceding and current row),
sum(c2) over (order by c1 rows between 5 preceding and 5 following),
sum(c3) over (order by c1 rows between 5 preceding and 2 preceding),
avg(c1) over (order by c1 rows between 5 preceding and current row),
avg(c2) over (order by c1 rows between 5 preceding and 5 following),
avg(c3) over (order by c1 rows between 5 preceding and 2 preceding)
from decimal_tiny where c2 < 112
---- RESULTS: VERIFY_IS_EQUAL_SORTED
0.0000,618.33330,NULL,0.0000,103.05555,NULL
0.1111,725.66662,NULL,0.0555,103.66666,NULL
0.3333,834.22216,0.0,0.1111,104.27777,0.0
0.6666,943.99992,0.1,0.1666,104.88888,0.0
1.1110,1054.99990,0.3,0.2222,105.49999,0.1
1.6665,1054.99990,0.6,0.2777,105.49999,0.1
2.3331,954.99990,1.0,0.3888,106.11110,0.2
2.9997,853.77768,1.4,0.4999,106.72221,0.3
3.6663,751.33324,1.8,0.6110,107.33332,0.4
4.3329,647.66658,2.2,0.7221,107.94443,0.5
---- TYPES
DECIMAL, DECIMAL, DECIMAL, DECIMAL, DECIMAL, DECIMAL
====
---- QUERY
# IMPALA-1559: FIRST_VALUE rewrite function intermediate type not matching slot type
select
first_value(c3) over (order by c3 rows between 92 preceding and current row),
first_value(c2) over (order by c3 rows between 92 preceding and 1 preceding)
from decimal_tiny where c3 = 0.0
---- RESULTS
0.0,NULL
0.0,100.00000
0.0,100.00000
0.0,100.00000
0.0,100.00000
0.0,100.00000
0.0,100.00000
0.0,100.00000
0.0,100.00000
0.0,100.00000
---- TYPES
DECIMAL, DECIMAL
====
---- QUERY
select histogram(d1) from decimal_tbl;
---- RESULTS
'1234, 2345, 12345, 12345, 132842'
---- TYPES
STRING
====
---- QUERY
select appx_median(c1), appx_median(c2), appx_median(c3) from decimal_tiny
---- RESULTS
5.5550,161.11100,0.5
---- TYPES
DECIMAL, DECIMAL, DECIMAL
====
---- QUERY
select sample(d1) from decimal_tbl;
---- TYPES
# Results are unstable, just check that this doesn't crash
STRING
====
---- QUERY
# IMPALA-1837: Handle loss of precision when implicitly casting a literal to a decimal.
# Here "1.8" will be implicitly cast to a decimal(38,38), losing precision.
select coalesce(1.8, cast(0 as decimal(38,38)))
---- TYPES
DECIMAL
---- RESULTS
0.00000000000000000000000000000000000000
---- ERRORS
UDF WARNING: Expression overflowed, returning NULL
====
---- QUERY
# IMPALA-1837: Handle loss of precision when implicitly casting a literal to a decimal.
# Here "1.8" will be implicitly cast to a decimal(38,38), losing precision.
# No error is reported because the overflowed expr is never evaluated.
select coalesce(cast(0 as decimal(38,38)), 1.8)
---- TYPES
DECIMAL
---- RESULTS
0.00000000000000000000000000000000000000
---- ERRORS
====
---- QUERY
# IMPALA-2259 - wrong overload chosen for analytic function.
select lag(c1, 1) over (order by c1), c1
from decimal_tiny
order by c1
limit 10
---- RESULTS
NULL,0.0000
0.0000,0.1111
0.1111,0.2222
0.2222,0.3333
0.3333,0.4444
0.4444,0.5555
0.5555,0.6666
0.6666,0.7777
0.7777,0.8888
0.8888,0.9999
---- TYPES
DECIMAL, DECIMAL
====
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