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mariadb/mysql-test/main/mrr_icp_extra.test
Igor Babaev 658128af43 MDEV-16188 Use in-memory PK filters built from range index scans
This patch contains a full implementation of the optimization
that allows to use in-memory rowid / primary filters built for range  
conditions over indexes. In many cases usage of such filters reduce  
the number of disk seeks spent for fetching table rows.

In this implementation the choice of what possible filter to be applied  
(if any) is made purely on cost-based considerations.

This implementation re-achitectured the partial implementation of
the feature pushed by Galina Shalygina in the commit
8d5a11122c.

Besides this patch contains a better implementation of the generic  
handler function handler::multi_range_read_info_const() that
takes into account gaps between ranges when calculating the cost of
range index scans. It also contains some corrections of the
implementation of the handler function records_in_range() for MyISAM.

This patch supports the feature for InnoDB and MyISAM.
2019-02-03 14:56:12 -08:00

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# Generated by an ALTER TABLE in include/varchar.inc
call mtr.add_suppression("Can't find record in .*");
set @mrr_icp_extra_tmp=@@optimizer_switch;
set optimizer_switch='mrr=on,mrr_sort_keys=on,index_condition_pushdown=on';
set optimizer_switch='rowid_filter=off';
SET NAMES latin1;
CREATE TABLE t1
(s1 char(10) COLLATE latin1_german1_ci,
s2 char(10) COLLATE latin1_swedish_ci,
KEY(s1),
KEY(s2));
INSERT INTO t1 VALUES ('a','a');
INSERT INTO t1 VALUES ('b','b');
INSERT INTO t1 VALUES ('c','c');
INSERT INTO t1 VALUES ('d','d');
INSERT INTO t1 VALUES ('e','e');
INSERT INTO t1 VALUES ('f','f');
INSERT INTO t1 VALUES ('g','g');
INSERT INTO t1 VALUES ('h','h');
INSERT INTO t1 VALUES ('i','i');
INSERT INTO t1 VALUES ('j','j');
EXPLAIN SELECT * FROM t1 WHERE s1='a';
EXPLAIN SELECT * FROM t1 WHERE s2='a';
EXPLAIN SELECT * FROM t1 WHERE s1='a' COLLATE latin1_german1_ci;
EXPLAIN SELECT * FROM t1 WHERE s2='a' COLLATE latin1_german1_ci;
EXPLAIN SELECT * FROM t1 WHERE s1 BETWEEN 'a' AND 'b' COLLATE latin1_german1_ci;
EXPLAIN SELECT * FROM t1 WHERE s2 BETWEEN 'a' AND 'b' COLLATE latin1_german1_ci;
EXPLAIN SELECT * FROM t1 WHERE s1 IN ('a','b' COLLATE latin1_german1_ci);
EXPLAIN SELECT * FROM t1 WHERE s2 IN ('a','b' COLLATE latin1_german1_ci);
EXPLAIN SELECT * FROM t1 WHERE s1 LIKE 'a' COLLATE latin1_german1_ci;
EXPLAIN SELECT * FROM t1 WHERE s2 LIKE 'a' COLLATE latin1_german1_ci;
DROP TABLE t1;
--echo #
--echo #
CREATE TABLE t2 (a varchar(32), b int(11), c float, d double,
UNIQUE KEY a (a,b,c), KEY b (b), KEY c (c));
CREATE TABLE t1 (a varchar(32), b char(3), UNIQUE KEY a (a,b), KEY b (b));
CREATE TABLE t3 (a varchar(32), b char(3), UNIQUE KEY a (a,b));
INSERT INTO t3 SELECT * FROM t1;
EXPLAIN
SELECT d FROM t1, t2
WHERE t2.b=14 AND t2.a=t1.a AND 5.1<t2.c AND t1.b='DE'
ORDER BY t2.c LIMIT 1;
SELECT d FROM t1, t2
WHERE t2.b=14 AND t2.a=t1.a AND 5.1<t2.c AND t1.b='DE'
ORDER BY t2.c LIMIT 1;
DROP TABLE t1,t2,t3;
--echo #
--echo #
create table t1(a int, b int, index(b));
insert into t1 values (2, 1), (1, 1), (4, NULL), (3, NULL), (6, 2), (5, 2);
insert into t1 values (2, 11), (1, 11), (4, 14), (3, 14), (6, 12), (5, 12);
explain select * from t1 where b=1 or b is null order by a;
select * from t1 where b=1 or b is null order by a;
explain select * from t1 where b=2 or b is null order by a;
select * from t1 where b=2 or b is null order by a;
drop table t1;
--echo #
--echo #
CREATE TABLE t1 (
FieldKey varchar(36) NOT NULL default '',
LongVal bigint(20) default NULL,
StringVal mediumtext,
KEY FieldKey (FieldKey),
KEY LongField (FieldKey,LongVal),
KEY StringField (FieldKey,StringVal(32))
);
INSERT INTO t1 VALUES ('0',3,'0'),('0',2,'1'),('0',1,'2'),('1',2,'1'),('1',1,'3'), ('1',0,'2'),('2',3,'0'),('2',2,'1'),('2',1,'2'),('2',3,'0'),('2',2,'1'),('2',1,'2'),('3',2,'1'),('3',1,'2'),('3','3','3');
EXPLAIN SELECT * FROM t1 IGNORE INDEX (LongField, StringField) WHERE FieldKey > '2' ORDER BY LongVal;
EXPLAIN SELECT * FROM t1 IGNORE INDEX (FieldKey, LongField) WHERE FieldKey > '2' ORDER BY LongVal;
SELECT * FROM t1 WHERE FieldKey > '2' ORDER BY LongVal;
DROP TABLE t1;
--echo #
--echo #
CREATE TABLE t1 (a int not null, b int, c int, key(b), key(c), key(a,b), key(c,a));
INSERT into t1 values (0, null, 0), (0, null, 1), (0, null, 2), (0, null,3), (1,1,4);
create table t2 (a int not null, b int, c int, key(b), key(c), key(a));
INSERT into t2 values (1,1,1), (2,2,2);
optimize table t1;
explain select * from t1 force index (a) where a=0 or a=2;
select * from t1 force index (a) where a=0 or a=2;
drop table t1;
--echo #
--echo #
create table t1
(
pk1 int not null,
pk2 int not null,
key1 int not null,
key2 int not null,
pktail1ok int not null,
pktail2ok int not null,
pktail3bad int not null,
pktail4bad int not null,
pktail5bad int not null,
pk2copy int not null,
badkey int not null,
filler1 char (200),
filler2 char (200),
key (key1),
key (key2),
/* keys with tails from CPK members */
key (pktail1ok, pk1),
key (pktail2ok, pk1, pk2),
key (pktail3bad, pk2, pk1),
key (pktail4bad, pk1, pk2copy),
key (pktail5bad, pk1, pk2, pk2copy),
primary key (pk1, pk2)
);
--disable_query_log
set autocommit=0;
let $1=10000;
while ($1)
{
eval insert into t1 values ($1 div 10,$1 mod 100, $1/100,$1/100, $1/100,$1/100,$1/100,$1/100,$1/100, $1 mod 100, $1/1000,'filler-data-$1','filler2');
dec $1;
}
set autocommit=1;
--enable_query_log
explain select * from t1 where pk1 = 1 and pk2 < 80 and key1=0;
select * from t1 where pk1 = 1 and pk2 < 80 and key1=0;
drop table t1;
--echo #
--echo #
CREATE TABLE t1 (
f1 int,
f4 varchar(32),
f5 int,
PRIMARY KEY (f1),
KEY (f4)
);
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);
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;
--echo #
--echo #
--source include/varchar.inc
--echo #
--echo #
--disable_warnings
drop database if exists world;
--enable_warnings
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 * FROM City
WHERE ((Name > 'Ca' AND Name < 'Cf') OR (Country > 'E' AND Country < 'F'))
AND (Population > 101000 AND Population < 102000);
--replace_column 9 #
explain
SELECT * FROM City
WHERE ((Name > 'Ca' AND Name < 'Cf') OR (Country > 'E' AND Country < 'F'))
AND (Population > 101000 AND Population < 102000);
--replace_column 9 #
explain
SELECT * FROM City
WHERE (Name < 'Ac' AND (Country > 'A' AND Country < 'B')) OR
(Name BETWEEN 'P' AND 'Pb' AND (Population > 101000 AND Population < 110000));
SELECT * FROM City
WHERE (Name < 'Ac' AND (Country > 'A' AND Country < 'B')) OR
(Name BETWEEN 'P' AND 'Pb' AND (Population > 101000 AND Population < 110000));
SELECT * FROM City
WHERE Name LIKE 'M%' AND Population > 7000000;
--replace_column 9 #
explain
SELECT * FROM City
WHERE Name LIKE 'M%' AND Population > 7000000;
--replace_column 6 # 7 # 9 #
explain
SELECT * FROM City
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%';
--replace_column 6 # 7 # 9 #
explain
SELECT * FROM City
WHERE Name BETWEEN 'G' AND 'J' AND Population > 500000 AND Country LIKE 'C%';
SELECT * FROM City
WHERE Name BETWEEN 'G' AND 'J' AND Population > 500000 AND Country LIKE 'C%';
drop database world;
use test;
set @mrr_icp_extra_tmp=@@optimizer_switch;