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a615ebc549e7d4824272c96bfa0cba2d20e8413a
impala/testdata/workloads/functional-query/queries/QueryTest/aggregation.test
Alex Behm a615ebc549 IMPALA-822,IMP-1271: Binding predicates on an aggregation now properly trigger slot materialization. 
The bug was that the number of materialized agg-tuple slots did not correspond to the number
of materialized agg functions, due to binding predicates against an AggNode causing slot
materialization after SelectStmt.materializeRequiredSlots().
This patch fixes the issue by taking binding predicates (bound to a slot in an agg tuple)
into consideration in SelectStmt.materializeRequiredSlots().
I added a new sanity check in AggregationNode.toThrift() surfaced another issue with slot
materialization that is also fixed in this patch. The ordering exprs must be marked before
the agg exprs in SelectStmt.materializeRequiredSlots() because the odering exprs may contain
agg exprs that are only referenced inside the ORDER BY clause.

Change-Id: I1bdc0466f583907bed625ce6608938e59faee83f
Reviewed-on: http://gerrit.ent.cloudera.com:8080/1639
Reviewed-by: Marcel Kornacker <marcel@cloudera.com>
Tested-by: jenkins
Reviewed-on: http://gerrit.ent.cloudera.com:8080/1818
Reviewed-by: Alex Behm <alex.behm@cloudera.com>
2014-03-08 00:25:26 -08:00

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====
---- QUERY
# no grouping exprs, cols contain nulls except for bool cols
select count(bool_col), min(bool_col), max(bool_col)
from alltypesagg
---- TYPES
bigint, boolean, boolean
---- RESULTS
10000,false,true
====
---- QUERY
# no grouping exprs, cols contain nulls
select count(*), count(tinyint_col), min(tinyint_col), max(tinyint_col), sum(tinyint_col),
avg(tinyint_col)
from alltypesagg
---- TYPES
bigint, bigint, tinyint, tinyint, bigint, double
---- RESULTS
10000,9000,1,9,45000,5
====
---- QUERY
select count(*), count(smallint_col), min(smallint_col), max(smallint_col), sum(smallint_col),
avg(smallint_col)
from alltypesagg
---- TYPES
bigint, bigint, smallint, smallint, bigint, double
---- RESULTS
10000,9900,1,99,495000,50
====
---- QUERY
select count(*), count(int_col), min(int_col), max(int_col), sum(int_col), avg(int_col)
from alltypesagg
---- TYPES
bigint, bigint, int, int, bigint, double
---- RESULTS
10000,9990,1,999,4995000,500
====
---- QUERY
select count(*), count(bigint_col), min(bigint_col), max(bigint_col), sum(bigint_col),
avg(bigint_col)
from alltypesagg
---- TYPES
bigint, bigint, bigint, bigint, bigint, double
---- RESULTS
10000,9990,10,9990,49950000,5000
====
---- QUERY
select count(*), count(float_col), min(float_col), max(float_col), sum(float_col),
avg(float_col)
from alltypesagg
---- TYPES
bigint, bigint, float, float, double, double
---- RESULTS
10000,9990,1.100000023841858,1098.900024414062,5494499.999767542,549.9999999767309
====
---- QUERY
select count(*), count(double_col), min(double_col), max(double_col), round(sum(double_col), 0),
round(avg(double_col), 0)
from alltypesagg
---- TYPES
bigint, bigint, double, double, double, double
---- RESULTS
10000,9990,10.1,10089.9,50449500,5050
====
---- QUERY
select count(*), min(string_col), max(string_col), min(date_string_col),
max(date_string_col)
from alltypesagg
---- TYPES
bigint, string, string, string, string
---- RESULTS
10000,'0','999','01/01/10','01/10/10'
#====
#---- QUERY
# TODO: figure out why I'm getting a diff on the avg(timestamp_col) expr
# 2010-01-05 20:47:11.705094575
#select min(timestamp_col), max(timestamp_col), avg(timestamp_col) from alltypesagg
#---- TYPES
#timestamp, timestamp, timestamp
#---- RESULTS
#2010-01-01 00:00:00,2010-01-10 18:02:05.100000000,2010-01-05 20:47:11.705086469
====
---- QUERY
# grouping by different data types, with NULLs
select tinyint_col, count(*) from alltypesagg group by 1
---- TYPES
tinyint, bigint
---- RESULTS
1,1000
2,1000
3,1000
4,1000
5,1000
6,1000
7,1000
8,1000
9,1000
NULL,1000
====
---- QUERY
# grouping by different data types, with NULLs, grouping expr missing from select list
select bool_col,min(bool_col),max(bool_col) from alltypesagg group by 1
---- TYPES
boolean,boolean,boolean
---- RESULTS
false,false,false
true,true,true
====
---- QUERY
select count(*) from alltypesagg group by tinyint_col
---- TYPES
bigint
---- RESULTS
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
====
---- QUERY
select smallint_col % 10, count(*) from alltypesagg group by 1
---- TYPES
smallint, bigint
---- RESULTS
0,900
1,1000
2,1000
3,1000
4,1000
5,1000
6,1000
7,1000
8,1000
9,1000
NULL,100
====
---- QUERY
select count(*) from alltypesagg group by smallint_col % 10
---- TYPES
bigint
---- RESULTS
100
1000
1000
1000
1000
1000
1000
1000
1000
1000
900
====
---- QUERY
select int_col % 10, count(*) from alltypesagg group by 1
---- TYPES
int, bigint
---- RESULTS
0,990
1,1000
2,1000
3,1000
4,1000
5,1000
6,1000
7,1000
8,1000
9,1000
NULL,10
====
---- QUERY
select count(*) from alltypesagg group by int_col % 10
---- TYPES
bigint
---- RESULTS
10
1000
1000
1000
1000
1000
1000
1000
1000
1000
990
====
---- QUERY
# Check that ALL inside aggregates is correct
select count(ALL *) from alltypesagg group by int_col % 10
---- TYPES
bigint
---- RESULTS
10
1000
1000
1000
1000
1000
1000
1000
1000
1000
990
====
---- QUERY
select bigint_col % 100, count(*) from alltypesagg group by 1
---- TYPES
bigint, bigint
---- RESULTS
0,990
10,1000
20,1000
30,1000
40,1000
50,1000
60,1000
70,1000
80,1000
90,1000
NULL,10
====
---- QUERY
select count(*) from alltypesagg group by bigint_col % 100
---- TYPES
bigint
---- RESULTS
10
1000
1000
1000
1000
1000
1000
1000
1000
1000
990
====
---- QUERY
select float_col, float_col * 2, count(*) from alltypes group by 1, 2
---- TYPES
float, double, bigint
---- RESULTS
0,0,730
3.299999952316284,6.599999904632568,730
8.800000190734863,17.60000038146973,730
6.599999904632568,13.19999980926514,730
7.699999809265137,15.39999961853027,730
2.200000047683716,4.400000095367432,730
5.5,11,730
1.100000023841858,2.200000047683716,730
9.899999618530273,19.79999923706055,730
4.400000095367432,8.800000190734863,730
====
---- QUERY
select count(*) from alltypes group by float_col
---- TYPES
bigint
---- RESULTS
730
730
730
730
730
730
730
730
730
730
====
---- QUERY
select float_col, count(*) from alltypesagg where float_col is null group by 1
---- TYPES
float, bigint
---- RESULTS
NULL,10
====
---- QUERY
select double_col, double_col * 2, count(*) from alltypes group by 1, 2
---- TYPES
double, double, bigint
---- RESULTS
0,0,730
90.90000000000001,181.8,730
40.4,80.8,730
20.2,40.4,730
80.8,161.6,730
10.1,20.2,730
70.7,141.4,730
50.5,101,730
30.3,60.6,730
60.6,121.2,730
====
---- QUERY
select count(*) from alltypes group by double_col
---- TYPES
bigint
---- RESULTS
730
730
730
730
730
730
730
730
730
730
====
---- QUERY
select double_col, count(*) from alltypesagg where double_col is null group by 1
---- TYPES
double, bigint
---- RESULTS
NULL,10
====
---- QUERY
select date_string_col, count(*) from alltypesagg group by 1
---- TYPES
string, bigint
---- RESULTS
'01/01/10',1000
'01/02/10',1000
'01/03/10',1000
'01/04/10',1000
'01/05/10',1000
'01/06/10',1000
'01/07/10',1000
'01/08/10',1000
'01/09/10',1000
'01/10/10',1000
====
---- QUERY
select count(*) from alltypesagg group by date_string_col
---- TYPES
bigint
---- RESULTS
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
====
---- QUERY
# grouping by multiple exprs, with nulls
select tinyint_col % 3, smallint_col % 3, count(*) from alltypesagg
where day = 1 group by 1, 2
---- TYPES
tinyint, smallint, bigint
---- RESULTS
0,0,120
0,1,90
0,2,90
1,0,90
1,1,120
1,2,90
2,0,90
2,1,90
2,2,120
NULL,0,30
NULL,1,30
NULL,2,30
NULL,NULL,10
====
---- QUERY
select count(*) from alltypesagg
where day = 1 group by tinyint_col % 3, smallint_col % 3
---- TYPES
bigint
---- RESULTS
10
120
120
120
30
30
30
90
90
90
90
90
90
====
---- QUERY
# same result as previous query
select tinyint_col % 3, smallint_col % 3, count(*) from alltypesagg where day = 1 group by 2, 1
---- TYPES
tinyint, smallint, bigint
---- RESULTS
0,0,120
0,1,90
0,2,90
1,0,90
1,1,120
1,2,90
2,0,90
2,1,90
2,2,120
NULL,0,30
NULL,1,30
NULL,2,30
NULL,NULL,10
====
---- QUERY
select tinyint_col % 2, smallint_col % 2, int_col % 2, bigint_col % 2, date_string_col, count(*)
from alltypesagg
where date_string_col = '01/01/10' or date_string_col = '01/02/10'
group by 1, 2, 3, 4, 5
---- TYPES
tinyint, smallint, int, bigint, string, bigint
---- RESULTS
0,0,0,0,'01/01/10',400
0,0,0,0,'01/02/10',400
1,1,1,0,'01/01/10',500
1,1,1,0,'01/02/10',500
NULL,0,0,0,'01/01/10',90
NULL,0,0,0,'01/02/10',90
NULL,NULL,0,0,'01/01/10',9
NULL,NULL,0,0,'01/02/10',9
NULL,NULL,NULL,NULL,'01/01/10',1
NULL,NULL,NULL,NULL,'01/02/10',1
====
---- QUERY
select count(*)
from alltypesagg
where date_string_col = '01/01/10' or date_string_col = '01/02/10'
group by tinyint_col % 2, smallint_col % 2, int_col % 2, bigint_col % 2, date_string_col
---- TYPES
bigint
---- RESULTS
1
1
400
400
500
500
9
9
90
90
====
---- QUERY
# no grouping cols, no matching rows
select count(*), min(tinyint_col), max(tinyint_col), sum(tinyint_col), avg(tinyint_col)
from alltypesagg
where tinyint_col = -1
---- TYPES
bigint, tinyint, tinyint, bigint, double
---- RESULTS
0,NULL,NULL,NULL,NULL
====
---- QUERY
select count(*), min(smallint_col), max(smallint_col), sum(smallint_col), avg(smallint_col)
from alltypesagg
where smallint_col = -1
---- TYPES
bigint, smallint, smallint, bigint, double
---- RESULTS
0,NULL,NULL,NULL,NULL
====
---- QUERY
select count(*), min(int_col), max(int_col), sum(int_col), avg(int_col)
from alltypesagg
where int_col = -1
---- TYPES
bigint, int, int, bigint, double
---- RESULTS
0,NULL,NULL,NULL,NULL
====
---- QUERY
select count(*), min(bigint_col), max(bigint_col), sum(bigint_col), avg(bigint_col)
from alltypesagg
where bigint_col = -1
---- TYPES
bigint, bigint, bigint, bigint, double
---- RESULTS
0,NULL,NULL,NULL,NULL
====
---- QUERY
select count(*), min(float_col), max(float_col), sum(float_col), avg(float_col)
from alltypesagg
where float_col < -1.0
---- TYPES
bigint, float, float, double, double
---- RESULTS
0,NULL,NULL,NULL,NULL
====
---- QUERY
select count(*), min(double_col), max(double_col), sum(double_col), avg(double_col)
from alltypesagg
where double_col < -1.0
---- TYPES
bigint, double, double, double, double
---- RESULTS
0,NULL,NULL,NULL,NULL
====
---- QUERY
# HAVING clauses over all aggregation functions, plus compound HAVING clauses
select int_col % 7, count(*), max(int_col) from alltypesagg group by 1
---- TYPES
int, bigint, int
---- RESULTS
0,1420,994
1,1430,995
2,1430,996
3,1430,997
4,1430,998
5,1430,999
6,1420,993
NULL,10,NULL
====
---- QUERY
select int_col % 7, count(*) from alltypesagg group by 1 having max(int_col) > 991
---- TYPES
int, bigint
---- RESULTS
0,1420
1,1430
2,1430
3,1430
4,1430
5,1430
6,1420
====
---- QUERY
select int_col % 7, count(*) from alltypesagg group by 1
having max(int_col) > 991 and count(*) > 1420
---- TYPES
int, bigint
---- RESULTS
1,1430
2,1430
3,1430
4,1430
5,1430
====
---- QUERY
select int_col % 7, count(*) from alltypesagg group by 1
having min(int_col) < 7
---- TYPES
int, bigint
---- RESULTS
1,1430
2,1430
3,1430
4,1430
5,1430
6,1420
====
---- QUERY
select int_col % 7, count(*) from alltypesagg group by 1
having min(int_col) < 7 and count(*) > 1420
---- TYPES
int, bigint
---- RESULTS
1,1430
2,1430
3,1430
4,1430
5,1430
====
---- QUERY
select int_col % 7, count(*), sum(int_col) from alltypesagg group by 1
---- TYPES
int, bigint, bigint
---- RESULTS
0,1420,710710
1,1430,712140
2,1430,713570
3,1430,715000
4,1430,716430
5,1430,717860
6,1420,709290
NULL,10,NULL
====
---- QUERY
select int_col % 7, count(*), sum(int_col) from alltypesagg group by 1
having sum(int_col) >= 715000
---- TYPES
int, bigint, bigint
---- RESULTS
3,1430,715000
4,1430,716430
5,1430,717860
====
---- QUERY
select int_col % 7, count(*), sum(int_col) from alltypesagg group by 1
having sum(int_col) >= 715000 or count(*) > 1420
---- TYPES
int, bigint, bigint
---- RESULTS
1,1430,712140
2,1430,713570
3,1430,715000
4,1430,716430
5,1430,717860
====
---- QUERY
select int_col % 7, count(*), sum(int_col) from alltypesagg group by 1
having sum(int_col) is null
---- TYPES
int, bigint, bigint
---- RESULTS
NULL,10,NULL
====
---- QUERY
select int_col % 7, count(*), avg(int_col) from alltypesagg group by 1
---- TYPES
int, bigint, double
---- RESULTS
0,1420,500.5
1,1430,498
2,1430,499
3,1430,500
4,1430,501
5,1430,502
6,1420,499.5
NULL,10,NULL
====
---- QUERY
select int_col % 7, count(*), avg(int_col) from alltypesagg group by 1
having avg(int_col) > 500
---- TYPES
int, bigint, double
---- RESULTS
0,1420,500.5
4,1430,501
5,1430,502
====
---- QUERY
select int_col % 7, count(*), avg(int_col) from alltypesagg group by 1
having avg(int_col) > 500 or count(*) = 10
---- TYPES
int, bigint, double
---- RESULTS
0,1420,500.5
4,1430,501
5,1430,502
NULL,10,NULL
====
---- QUERY
select timestamp_col, count(*) from alltypesagg
group by timestamp_col having timestamp_col < cast('2010-01-01 01:05:20' as timestamp)
---- TYPES
timestamp, bigint
---- RESULTS
2010-01-01 00:00:00,1
2010-01-01 00:01:00,1
2010-01-01 00:02:00.100000000,1
2010-01-01 00:03:00.300000000,1
2010-01-01 00:04:00.600000000,1
2010-01-01 00:05:00.100000000,1
2010-01-01 00:06:00.150000000,1
2010-01-01 00:07:00.210000000,1
2010-01-01 00:08:00.280000000,1
2010-01-01 00:09:00.360000000,1
2010-01-01 00:10:00.450000000,1
2010-01-01 00:11:00.550000000,1
2010-01-01 00:12:00.660000000,1
2010-01-01 00:13:00.780000000,1
2010-01-01 00:14:00.910000000,1
2010-01-01 00:15:01.500000000,1
2010-01-01 00:16:01.200000000,1
2010-01-01 00:17:01.360000000,1
2010-01-01 00:18:01.530000000,1
2010-01-01 00:19:01.710000000,1
2010-01-01 00:20:01.900000000,1
2010-01-01 00:21:02.100000000,1
2010-01-01 00:22:02.310000000,1
2010-01-01 00:23:02.530000000,1
2010-01-01 00:24:02.760000000,1
2010-01-01 00:25:03,1
2010-01-01 00:26:03.250000000,1
2010-01-01 00:27:03.510000000,1
2010-01-01 00:28:03.780000000,1
2010-01-01 00:29:04.600000000,1
2010-01-01 00:30:04.350000000,1
2010-01-01 00:31:04.650000000,1
2010-01-01 00:32:04.960000000,1
2010-01-01 00:33:05.280000000,1
2010-01-01 00:34:05.610000000,1
2010-01-01 00:35:05.950000000,1
2010-01-01 00:36:06.300000000,1
2010-01-01 00:37:06.660000000,1
2010-01-01 00:38:07.300000000,1
2010-01-01 00:39:07.410000000,1
2010-01-01 00:40:07.800000000,1
2010-01-01 00:41:08.200000000,1
2010-01-01 00:42:08.610000000,1
2010-01-01 00:43:09.300000000,1
2010-01-01 00:44:09.460000000,1
2010-01-01 00:45:09.900000000,1
2010-01-01 00:46:10.350000000,1
2010-01-01 00:47:10.810000000,1
2010-01-01 00:48:11.280000000,1
2010-01-01 00:49:11.760000000,1
2010-01-01 00:50:12.250000000,1
2010-01-01 00:51:12.750000000,1
2010-01-01 00:52:13.260000000,1
2010-01-01 00:53:13.780000000,1
2010-01-01 00:54:14.310000000,1
2010-01-01 00:55:14.850000000,1
2010-01-01 00:56:15.400000000,1
2010-01-01 00:57:15.960000000,1
2010-01-01 00:58:16.530000000,1
2010-01-01 00:59:17.110000000,1
2010-01-01 01:00:17.700000000,1
2010-01-01 01:01:18.300000000,1
2010-01-01 01:02:18.910000000,1
2010-01-01 01:03:19.530000000,1
2010-01-01 01:04:20.160000000,1
====
---- QUERY
# Test NULLs in aggregate functions
select count(NULL), min(NULL), max(NULL), sum(NULL), avg(NULL) from alltypesagg
---- TYPES
bigint, boolean, boolean, bigint, double
---- RESULTS
0,NULL,NULL,NULL,NULL
====
---- QUERY
# Test ignored distinct in MIN and MAX with NULLs
select min(distinct NULL), max(distinct NULL) from alltypesagg
---- TYPES
boolean, boolean
---- RESULTS
NULL,NULL
====
---- QUERY
# Test group_concat with default delimiter
select day, group_concat(string_col)
from alltypesagg
where id % 100 = day
group by day
---- TYPES
int, string
---- RESULTS
3,'3, 103, 203, 303, 403, 503, 603, 703, 803, 903'
5,'5, 105, 205, 305, 405, 505, 605, 705, 805, 905'
8,'8, 108, 208, 308, 408, 508, 608, 708, 808, 908'
4,'4, 104, 204, 304, 404, 504, 604, 704, 804, 904'
9,'9, 109, 209, 309, 409, 509, 609, 709, 809, 909'
2,'2, 102, 202, 302, 402, 502, 602, 702, 802, 902'
6,'6, 106, 206, 306, 406, 506, 606, 706, 806, 906'
10,'10, 110, 210, 310, 410, 510, 610, 710, 810, 910'
7,'7, 107, 207, 307, 407, 507, 607, 707, 807, 907'
1,'1, 101, 201, 301, 401, 501, 601, 701, 801, 901'
====
---- QUERY
# Test group_concat with NULL (default) delimiter
select day, group_concat(string_col, NULL)
from alltypesagg
where id % 100 = day
group by day
---- TYPES
int, string
---- RESULTS
3,'3, 103, 203, 303, 403, 503, 603, 703, 803, 903'
5,'5, 105, 205, 305, 405, 505, 605, 705, 805, 905'
8,'8, 108, 208, 308, 408, 508, 608, 708, 808, 908'
4,'4, 104, 204, 304, 404, 504, 604, 704, 804, 904'
9,'9, 109, 209, 309, 409, 509, 609, 709, 809, 909'
2,'2, 102, 202, 302, 402, 502, 602, 702, 802, 902'
6,'6, 106, 206, 306, 406, 506, 606, 706, 806, 906'
10,'10, 110, 210, 310, 410, 510, 610, 710, 810, 910'
7,'7, 107, 207, 307, 407, 507, 607, 707, 807, 907'
1,'1, 101, 201, 301, 401, 501, 601, 701, 801, 901'
====
---- QUERY
# Test group_concat with both args as NULL
select day, group_concat(NULL, NULL)
from alltypesagg
where id % 100 = day
group by day
---- TYPES
int, string
---- RESULTS
3,'NULL'
5,'NULL'
8,'NULL'
4,'NULL'
9,'NULL'
2,'NULL'
6,'NULL'
10,'NULL'
7,'NULL'
1,'NULL'
====
---- QUERY
# Test group_concat with arrow delimiter
select day, group_concat(string_col, "->")
from alltypesagg
where id % 100 = day
group by day
---- TYPES
int, string
---- RESULTS
3,'3->103->203->303->403->503->603->703->803->903'
5,'5->105->205->305->405->505->605->705->805->905'
8,'8->108->208->308->408->508->608->708->808->908'
4,'4->104->204->304->404->504->604->704->804->904'
9,'9->109->209->309->409->509->609->709->809->909'
2,'2->102->202->302->402->502->602->702->802->902'
6,'6->106->206->306->406->506->606->706->806->906'
10,'10->110->210->310->410->510->610->710->810->910'
7,'7->107->207->307->407->507->607->707->807->907'
1,'1->101->201->301->401->501->601->701->801->901'
====
---- QUERY
# Test group_concat with column delimiter
# Will cause all columns save first to be duplicated
select day, group_concat(trim(string_col), trim(string_col))
from alltypesagg
where id % 200 = day
group by day
---- TYPES
int, string
---- RESULTS
3,'3203203403403603603803803'
5,'5205205405405605605805805'
8,'8208208408408608608808808'
4,'4204204404404604604804804'
9,'9209209409409609609809809'
2,'2202202402402602602802802'
6,'6206206406406606606806806'
10,'10210210410410610610810810'
7,'7207207407407607607807807'
1,'1201201401401601601801801'
====
---- QUERY
# Test group_concat with multiple agg columns
select day, group_concat(string_col, '->'), group_concat(date_string_col)
from alltypesagg
where id % 250 = day
group by day
---- TYPES
int, string, string
---- RESULTS
3,'3->253->503->753','01/03/10, 01/03/10, 01/03/10, 01/03/10'
5,'5->255->505->755','01/05/10, 01/05/10, 01/05/10, 01/05/10'
8,'8->258->508->758','01/08/10, 01/08/10, 01/08/10, 01/08/10'
4,'4->254->504->754','01/04/10, 01/04/10, 01/04/10, 01/04/10'
9,'9->259->509->759','01/09/10, 01/09/10, 01/09/10, 01/09/10'
2,'2->252->502->752','01/02/10, 01/02/10, 01/02/10, 01/02/10'
6,'6->256->506->756','01/06/10, 01/06/10, 01/06/10, 01/06/10'
10,'10->260->510->760','01/10/10, 01/10/10, 01/10/10, 01/10/10'
7,'7->257->507->757','01/07/10, 01/07/10, 01/07/10, 01/07/10'
1,'1->251->501->751','01/01/10, 01/01/10, 01/01/10, 01/01/10'
====
---- QUERY
# Test group_concat with null result
select group_concat(string_col) from alltypesagg where string_col = NULL;
---- TYPES
string
---- RESULTS
'NULL'
====
---- QUERY
# Test correct removal of redundant group-by expressions (IMPALA-817)
select int_col * int_col, int_col + int_col
from functional.alltypesagg
group by int_col * int_col, int_col + int_col, int_col * int_col
having (int_col + int_col) < 5 order by 1 limit 10
---- TYPES
bigint,bigint
----
1,2
4,4
====
---- QUERY
# Test that binding predicates on an aggregation properly trigger materialization of
# slots in the agg tuple and the slots needed for evaluating the corresponding agg funcs
# (IMPALA-822).
select 1 from
(select count(bigint_col) c from functional.alltypesagg
having min(int_col) is not null) as t
where c is not null
---- TYPES
bigint
----
1
====
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