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impala/testdata/workloads/functional-query/queries/QueryTest/aggregation.test
Nong Li 15db34e356 AggregationNode refactoring 
This patch redoes how the aggregation node is implemented. The functionality is
now split between aggregation-node, agg-expr and aggregate-functions. This is a working
progress (there's still a lot of debug stuff I added that needs to be cleaned up) but
it does pass the tests.

Aggregation-node is now very simple and now only deals with the grouping part.
Aggregate-expr serves as the glue between the agg node and the aggregate functions.
The aggregation functions are implemented with the UDA interface. I've reimplemented
our existing aggregate functions with this setup. For true UDAs, the binaries would be
loaded in aggregate-expr.

This also includes some preliminary changes in the FE. We now need to annotate each
AggNode as executing the update vs. merge phase (root aggs execute update, others
execute merge) and if it needs a finalize step (only the root does). This is more
general than our builtins which are too simple to need this structure.

There is a big TODO here to allow the intermediate types between agg nodes to change.
For example, in distinct estimate, the input type is the column type and the output type
is a bigint. We'd like the intermediate type to be CHAR(256). This is different since
currently, the intermediate type and output type have always been the same. We've hacked
around this by having both the intermediate and output type be TYPE_STRING. I've left
this for another patch (changing the BE to support this is trivial).
For aggregates that result in strings, we used to store some additional stuff past the
end of the tuple. The layout was:
<tuple> <length of 1st string buffer>,<length of 2nd string buffer>, etc

The rationale for this is that we want to reuse the buffer for min/max and grow the buffer
more quickly for group_concat. This breaks down the abstraction between agg-expr and
agg-node and is not something UDAs can use in general. Rather than try to hack around
this, I think the proper solution is to the intermediate type not be StringValue and
to contain the buffer length itself.

This patch also resurrects the distinct estimate code. The distinct estimate functions
exercise all of the code paths.

Change-Id: Ic152a2cd03bc1713967673681e1e6204dcd80346
Reviewed-on: http://gerrit.ent.cloudera.com:8080/564
Reviewed-by: Nong Li <nong@cloudera.com>
Tested-by: Nong Li <nong@cloudera.com>
2014-01-08 10:53:13 -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, NULL, NULL, NULL, 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
NULL, NULL
---- 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(string_col, 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'
====
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