^^&&^^

Edit File: sum_distinct-big.test

#
# Various tests for SUM(DISTINCT ...)
#

--source include/big_test.inc
--disable_warnings
DROP TABLE IF EXISTS t1, t2;
--enable_warnings

#
# Test the case when distinct values doesn't fit in memory and 
# filesort is used (see uniques.cc:merge_walk)
#

CREATE TABLE t1 (id INTEGER);
CREATE TABLE t2 (id INTEGER);

INSERT INTO t1 (id) VALUES (1), (1), (1),(1);
INSERT INTO t1 (id) SELECT id FROM t1; /* 8 */
INSERT INTO t1 (id) SELECT id FROM t1; /* 12 */
INSERT INTO t1 (id) SELECT id FROM t1; /* 16 */
INSERT INTO t1 (id) SELECT id FROM t1; /* 20 */
INSERT INTO t1 (id) SELECT id FROM t1; /* 24 */
INSERT INTO t1 SELECT id+1 FROM t1;
INSERT INTO t1 SELECT id+2 FROM t1;
INSERT INTO t1 SELECT id+4 FROM t1;
INSERT INTO t1 SELECT id+8 FROM t1;
INSERT INTO t1 SELECT id+16 FROM t1;
INSERT INTO t1 SELECT id+32 FROM t1;
INSERT INTO t1 SELECT id+64 FROM t1;
INSERT INTO t1 SELECT id+128 FROM t1;
INSERT INTO t1 SELECT id+256 FROM t1;
INSERT INTO t1 SELECT id+512 FROM t1;

# Just test that AVG(DISTINCT) is there
SELECT AVG(DISTINCT id) FROM t1 GROUP BY id % 13;
SELECT SUM(DISTINCT id)/COUNT(DISTINCT id) FROM t1 GROUP BY id % 13;

INSERT INTO t1 SELECT id+1024 FROM t1;
INSERT INTO t1 SELECT id+2048 FROM t1;
INSERT INTO t1 SELECT id+4096 FROM t1;
INSERT INTO t1 SELECT id+8192 FROM t1;
INSERT INTO t2 SELECT id FROM t1 ORDER BY id*rand();

# SELECT '++++++++++++++++++++++++++++++++++++++++++++++++++';

SELECT SUM(DISTINCT id) sm FROM t1;
SELECT SUM(DISTINCT id) sm FROM t2;
SELECT SUM(DISTINCT id) sm FROM t1 group by id % 13;

# this limit for max_heap_table_size is set to force testing the case, when
# all distinct sum values can not fit in memory and must be stored in a
# temporary table

SET max_heap_table_size=16384;

# to check that max_heap_table_size was actually set (hard limit for minimum
# max_heap_table_size is set in mysqld.cc):

SHOW variables LIKE 'max_heap_table_size';

SELECT SUM(DISTINCT id) sm FROM t1;
SELECT SUM(DISTINCT id) sm FROM t2;
SELECT SUM(DISTINCT id) sm FROM t1 GROUP BY id % 13;

DROP TABLE t1;
DROP TABLE t2;