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02724621ca1284d9eb18e7618f6b25317fb5d88c
mariadb/mysql-test/t/index_intersect.test
Michael Widenius 8d52c2cffe Fixed compiler warnings and test cases problems found by buildbot 
mysql-test/r/dyncol.result:
  Updated test results
mysql-test/r/index_intersect.result:
  Updated results
mysql-test/r/index_intersect_innodb.result:
  Updated results
mysql-test/t/dyncol.test:
  Added replace_result for floating point results that are different on windows
  Added round() around a result to get same result on all platforms.
mysql-test/t/index_intersect.test:
  Added replace_result to fix that index_merge may put key names in different order.
mysys/ma_dyncol.c:
  Fixed compiler warnings on Solaris
sql/key.cc:
  Fixed compiler warnings on Solaris
sql/mysqld.cc:
  Fixed compiler warning on windows
support-files/compiler_warnings.supp:
  Suppressed an unintersting warning on Solaris
2011-05-11 13:59:17 +03:00

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--disable_warnings
DROP TABLE IF EXISTS t1,t2,t3,t4;
DROP DATABASE IF EXISTS world;
--enable_warnings
set names utf8;
CREATE DATABASE world;
use world;
--source include/world_schema.inc
--disable_query_log
--disable_result_log
--disable_warnings
--source include/world.inc
--enable_warnings
--enable_result_log
--enable_query_log
SELECT COUNT(*) FROM Country;
SELECT COUNT(*) FROM City;
SELECT COUNT(*) FROM CountryLanguage;
CREATE INDEX Name ON City(Name);
--disable_query_log
--disable_result_log
--disable_warnings
ANALYZE TABLE City;
--enable_warnings
--enable_result_log
--enable_query_log
SET SESSION optimizer_switch='index_merge_sort_intersection=on';
SELECT COUNT(*) FROM City;
# The output of the next 6 queries tells us about selectivities
# of the conditions utilized in 4 queries following after them
SELECT COUNT(*) FROM City WHERE Name LIKE 'C%';
SELECT COUNT(*) FROM City WHERE Name LIKE 'M%';
SELECT COUNT(*) FROM City WHERE Population > 1000000;
SELECT COUNT(*) FROM City WHERE Population > 1500000;
SELECT COUNT(*) FROM City WHERE Population > 300000;
SELECT COUNT(*) FROM City WHERE Population > 7000000;
# The pattern of the WHERE condition used in the following 4 queries is
# range(key1) AND range(key2)
# Varying values of the constants in the conjuncts of the condition
# we can get either an index intersection retrieval over key1 and key2
# or a range index scan for one of these indexes
--replace_column 9 #
EXPLAIN
SELECT * FROM City WHERE
Name LIKE 'C%' AND Population > 1000000;
--replace_column 9 #
EXPLAIN
SELECT * FROM City WHERE
Name LIKE 'M%' AND Population > 1500000;
--replace_column 9 #
EXPLAIN
SELECT * FROM City
WHERE Name LIKE 'M%' AND Population > 300000;
--replace_column 9 #
EXPLAIN
SELECT * FROM City
WHERE Name LIKE 'M%' AND Population > 7000000;
# The following 8 queries check that
# the previous 4 plans are valid and return
# the correct results when executed
--sorted_result
SELECT * FROM City USE INDEX ()
WHERE Name LIKE 'C%' AND Population > 1000000;
--sorted_result
SELECT * FROM City
WHERE Name LIKE 'C%' AND Population > 1000000;
--sorted_result
SELECT * FROM City USE INDEX ()
WHERE Name LIKE 'M%' AND Population > 1500000;
--sorted_result
SELECT * FROM City
WHERE Name LIKE 'M%' AND Population > 1500000;
--sorted_result
SELECT * FROM City USE INDEX ()
WHERE Name LIKE 'M%' AND Population > 300000;
--sorted_result
SELECT * FROM City
WHERE Name LIKE 'M%' AND Population > 300000;
SELECT * FROM City USE INDEX ()
WHERE Name LIKE 'M%' AND Population > 7000000;
SELECT * FROM City
WHERE Name LIKE 'M%' AND Population > 7000000;
# The output of the next 7 queries tells us about selectivities
# of the conditions utilized in 3 queries following after them
SELECT COUNT(*) FROM City WHERE Name BETWEEN 'M' AND 'N';
SELECT COUNT(*) FROM City WHERE Name BETWEEN 'G' AND 'J';
SELECT COUNT(*) FROM City WHERE Name BETWEEN 'G' AND 'K';
SELECT COUNT(*) FROM City WHERE Population > 1000000;
SELECT COUNT(*) FROM City WHERE Population > 500000;
SELECT COUNT(*) FROM City WHERE Country LIKE 'C%';
SELECT COUNT(*) FROM City WHERE Country LIKE 'B%';
# The pattern of the WHERE condition used in the following 3 queries is
# range(key1) AND range(key2) AND range(key3)
# Varying values of the constants in the conjuncts of the condition
# we can get index intersection over different pairs of keys:
# over(key1,key2), over(key1,key3) and over(key2,key3)
--replace_column 9 #
EXPLAIN
SELECT * FROM City
WHERE Name BETWEEN 'M' AND 'N' AND Population > 1000000 AND Country LIKE 'C%';
--replace_column 9 #
EXPLAIN
SELECT * FROM City
WHERE Name BETWEEN 'G' AND 'J' AND Population > 1000000 AND Country LIKE 'B%';
--replace_column 7 # 9 #
--replace_result Population,Country,Name Population,Name,Country
EXPLAIN
SELECT * FROM City
WHERE Name BETWEEN 'G' AND 'K' AND Population > 500000 AND Country LIKE 'C%';
# The following 6 queries check that
# the previous 3 plans are valid and return
# the correct results when executed
SELECT * FROM City USE INDEX ()
WHERE Name BETWEEN 'M' AND 'N' AND Population > 1000000 AND Country LIKE 'C%';
SELECT * FROM City
WHERE Name BETWEEN 'M' AND 'N' AND Population > 1000000 AND Country LIKE 'C%';
SELECT * FROM City USE INDEX ()
WHERE Name BETWEEN 'G' AND 'J' AND Population > 1000000 AND Country LIKE 'B%';
SELECT * FROM City
WHERE Name BETWEEN 'G' AND 'J' AND Population > 1000000 AND Country LIKE 'B%';
SELECT * FROM City USE INDEX ()
WHERE Name BETWEEN 'G' AND 'K' AND Population > 500000 AND Country LIKE 'C%';
SELECT * FROM City
WHERE Name BETWEEN 'G' AND 'K' AND Population > 500000 AND Country LIKE 'C%';
# The output of the next 12 queries tells us about selectivities
# of the conditions utilized in 5 queries following after them
SELECT COUNT(*) FROM City WHERE ID BETWEEN 501 AND 1000;
SELECT COUNT(*) FROM City WHERE ID BETWEEN 1 AND 500;
SELECT COUNT(*) FROM City WHERE ID BETWEEN 2001 AND 2500;
SELECT COUNT(*) FROM City WHERE ID BETWEEN 3701 AND 4000;
SELECT COUNT(*) FROM City WHERE Population > 700000;
SELECT COUNT(*) FROM City WHERE Population > 1000000;
SELECT COUNT(*) FROM City WHERE Population > 300000;
SELECT COUNT(*) FROM City WHERE Population > 600000;
SELECT COUNT(*) FROM City WHERE Country LIKE 'C%';
SELECT COUNT(*) FROM City WHERE Country LIKE 'A%';
SELECT COUNT(*) FROM City WHERE Country LIKE 'H%';
SELECT COUNT(*) FROM City WHERE Country BETWEEN 'S' AND 'Z';
# The pattern of the WHERE condition used in the following 5 queries is
# range(key1) AND range(key2) AND range(key3)
# with key1 happens to be a primary key (it matters only for InnoDB)
# Varying values of the constants in the conjuncts of the condition
# we can get index intersection either over all three keys, or over
# different pairs, or a range scan over one of these keys.
# Bear in mind that the condition (Country LIKE 'A%') is actually
# equivalent to the condition (Country BETWEEN 'A' AND 'B') for the
# tested instance the table City.
--replace_column 9 #
EXPLAIN
SELECT * FROM City
WHERE ID BETWEEN 501 AND 1000 AND Population > 700000 AND Country LIKE 'C%';
--replace_column 9 #
EXPLAIN
SELECT * FROM City
WHERE ID BETWEEN 1 AND 500 AND Population > 1000000 AND Country LIKE 'A%';
--replace_column 9 #
EXPLAIN
SELECT * FROM City
WHERE ID BETWEEN 2001 AND 2500 AND Population > 300000 AND Country LIKE 'H%';
--replace_column 9 #
EXPLAIN
SELECT * FROM City
WHERE ID BETWEEN 3701 AND 4000 AND Population > 1000000
AND Country BETWEEN 'S' AND 'Z';
--replace_column 9 #
EXPLAIN
SELECT * FROM City
WHERE ID BETWEEN 3001 AND 4000 AND Population > 600000
AND Country BETWEEN 'S' AND 'Z' ;
# The following 10 queries check that
# the previous 5 plans are valid and return
# the correct results when executed
SELECT * FROM City USE INDEX ()
WHERE ID BETWEEN 501 AND 1000 AND Population > 700000 AND Country LIKE 'C%';
SELECT * FROM City
WHERE ID BETWEEN 501 AND 1000 AND Population > 700000 AND Country LIKE 'C%';
--sorted_result
SELECT * FROM City USE INDEX ()
WHERE ID BETWEEN 1 AND 500 AND Population > 1000000 AND Country LIKE 'A%';
--sorted_result
SELECT * FROM City
WHERE ID BETWEEN 1 AND 500 AND Population > 1000000 AND Country LIKE 'A%';
SELECT * FROM City USE INDEX ()
WHERE ID BETWEEN 2001 AND 2500 AND Population > 300000 AND Country LIKE 'H%';
SELECT * FROM City
WHERE ID BETWEEN 2001 AND 2500 AND Population > 300000 AND Country LIKE 'H%';
--sorted_result
SELECT * FROM City USE INDEX ()
WHERE ID BETWEEN 3701 AND 4000 AND Population > 700000
AND Country BETWEEN 'S' AND 'Z';
--sorted_result
SELECT * FROM City
WHERE ID BETWEEN 3701 AND 4000 AND Population > 700000
AND Country BETWEEN 'S' AND 'Z';
--sorted_result
SELECT * FROM City USE INDEX ()
WHERE ID BETWEEN 3001 AND 4000 AND Population > 600000
AND Country BETWEEN 'S' AND 'Z' ;
--sorted_result
SELECT * FROM City
WHERE ID BETWEEN 3001 AND 4000 AND Population > 600000
AND Country BETWEEN 'S' AND 'Z' ;
SET SESSION sort_buffer_size = 2048;
# The following EXPLAIN command demonstrate that the execution plans
# may be different if sort_buffer_size is set to a small value
--replace_column 9 #
EXPLAIN
SELECT * FROM City WHERE
Name LIKE 'C%' AND Population > 1000000;
--replace_column 9 #
EXPLAIN
SELECT * FROM City WHERE
Name LIKE 'M%' AND Population > 1500000;
--replace_column 9 #
EXPLAIN
SELECT * FROM City
WHERE Name BETWEEN 'G' AND 'J' AND Population > 1000000 AND Country LIKE 'B%';
--replace_column 9 #
EXPLAIN
SELECT * FROM City
WHERE Name BETWEEN 'G' AND 'J' AND Population > 500000 AND Country LIKE 'C%';
--replace_column 9 #
EXPLAIN
SELECT * FROM City
WHERE ID BETWEEN 1 AND 500 AND Population > 1000000 AND Country LIKE 'A%';
--replace_column 9 #
EXPLAIN
SELECT * FROM City
WHERE ID BETWEEN 3001 AND 4000 AND Population > 600000
AND Country BETWEEN 'S' AND 'Z';
#Yet the query themselves return the correct results in this case as well
--sorted_result
SELECT * FROM City WHERE
Name LIKE 'C%' AND Population > 1000000;
SELECT * FROM City WHERE
Name LIKE 'M%' AND Population > 1500000;
SELECT * FROM City
WHERE Name BETWEEN 'G' AND 'J' AND Population > 700000 AND Country LIKE 'B%';
SELECT * FROM City
WHERE Name BETWEEN 'G' AND 'J' AND Population > 500000 AND Country LIKE 'C%';
SELECT * FROM City
WHERE ID BETWEEN 1 AND 500 AND Population > 1000000 AND Country LIKE 'A%';
--sorted_result
SELECT * FROM City
WHERE ID BETWEEN 3001 AND 4000 AND Population > 600000
AND Country BETWEEN 'S' AND 'Z';
SET SESSION sort_buffer_size = default;
# Instead of the index on the column Country create two compound indexes
# including this column as the first component
DROP INDEX Country ON City;
CREATE INDEX CountryID ON City(Country,ID);
CREATE INDEX CountryName ON City(Country,Name);
--disable_query_log
--disable_result_log
--disable_warnings
ANALYZE TABLE City;
--enable_warnings
--enable_result_log
--enable_query_log
# Check that the first component of a compound index can be used for
# index intersection, even in the cases when we have a ref access
# for this component
--replace_column 9 #
EXPLAIN
SELECT * FROM City
WHERE Country LIKE 'M%' AND Population > 1000000;
--replace_column 9 #
EXPLAIN
SELECT * FROM City
WHERE Country='CHN' AND Population > 1500000;
--replace_column 9 #
EXPLAIN
SELECT * FROM City
WHERE Country='CHN' AND Population > 1500000 AND Name LIKE 'C%';
# Check that the previous 3 plans return the right results when executed
--sorted_result
SELECT * FROM City USE INDEX ()
WHERE Country LIKE 'M%' AND Population > 1000000;
--sorted_result
SELECT * FROM City
WHERE Country LIKE 'M%' AND Population > 1000000;
--sorted_result
SELECT * FROM City USE INDEX ()
WHERE Country='CHN' AND Population > 1500000;
--sorted_result
SELECT * FROM City
WHERE Country='CHN' AND Population > 1500000;
SELECT * FROM City USE INDEX ()
WHERE Country='CHN' AND Population > 1500000 AND Name LIKE 'C%';
SELECT * FROM City
WHERE Country='CHN' AND Population > 1500000 AND Name LIKE 'C%';
#
# Bug #754521: wrong cost of index intersection leading
# to the choice of a suboptimal execution plan
#
--replace_column 9 #
EXPLAIN
SELECT * FROM City, Country
WHERE City.Name LIKE 'C%' AND City.Population > 1000000 AND
Country.Code=City.Country;
DROP DATABASE world;
use test;
#
# Bug #684086: crash with EXPLAIN in InnoDB for index intersection
# of two indexes one of which is primary
#
CREATE TABLE t1 (
f1 int,
f4 varchar(32),
f5 int,
PRIMARY KEY (f1),
KEY (f4)
) ENGINE=InnoDB;
INSERT INTO t1 VALUES
(5,'H',1), (9,'g',0), (527,'i',0), (528,'y',1), (529,'S',6),
(530,'m',7), (531,'b',2), (532,'N',1), (533,'V',NULL), (534,'l',1),
(535,'M',0), (536,'w',1), (537,'j',5), (538,'l',0), (539,'n',2),
(540,'m',2), (541,'r',2), (542,'l',2), (543,'h',3),(544,'o',0),
(956,'h',0), (957,'g',0), (958,'W',5), (959,'s',3), (960,'w',0),
(961,'q',0), (962,'e',NULL), (963,'u',7), (964,'q',1), (965,'N',NULL),
(966,'e',0), (967,'t',3), (968,'e',6), (969,'f',NULL), (970,'j',0),
(971,'s',3), (972,'I',0), (973,'h',4), (974,'g',1), (975,'s',0),
(976,'r',3), (977,'x',1), (978,'v',8), (979,'j',NULL), (980,'z',7),
(981,'t',9), (982,'j',5), (983,'u',NULL), (984,'g',6), (985,'w',1),
(986,'h',1), (987,'v',0), (988,'v',0), (989,'c',2), (990,'b',7),
(991,'z',0), (992,'M',1), (993,'u',2), (994,'r',2), (995,'b',4),
(996,'A',2), (997,'u',0), (998,'a',0), (999,'j',2), (1,'I',2);
--replace_column 9 #
EXPLAIN
SELECT * FROM t1
WHERE (f1 < 535 OR f1 > 985) AND ( f4='r' OR f4 LIKE 'a%' ) ;
SELECT * FROM t1
WHERE (f1 < 535 OR f1 > 985) AND ( f4='r' OR f4 LIKE 'a%' ) ;
DROP TABLE t1;
SET SESSION optimizer_switch='index_merge_sort_intersection=on';
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