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mariadb/mysql-test/suite/innodb_fts/t/innodb_fts_proximity.test
Marko Mäkelä e581396b7a MDEV-29983 Deprecate innodb_file_per_table
Before commit 6112853cda in MySQL 4.1.1
introduced the parameter innodb_file_per_table, all InnoDB data was
written to the InnoDB system tablespace (often named ibdata1).
A serious design problem is that once the system tablespace has grown to
some size, it cannot shrink even if the data inside it has been deleted.

There are also other design problems, such as the server hang MDEV-29930
that should only be possible when using innodb_file_per_table=0 and
innodb_undo_tablespaces=0 (storing both tables and undo logs in the
InnoDB system tablespace).

The parameter innodb_change_buffering was deprecated
in commit b5852ffbee.
Starting with commit baf276e6d4
(MDEV-19229) the number of innodb_undo_tablespaces can be increased,
so that the undo logs can be moved out of the system tablespace
of an existing installation.

If all these things (tables, undo logs, and the change buffer) are
removed from the InnoDB system tablespace, the only variable-size
data structure inside it is the InnoDB data dictionary.

DDL operations on .ibd files was optimized in
commit 86dc7b4d4c (MDEV-24626).
That should have removed any thinkable performance advantage of
using innodb_file_per_table=0.

Since there should be no benefit of setting innodb_file_per_table=0,
the parameter should be deprecated. Starting with MySQL 5.6 and
MariaDB Server 10.0, the default value is innodb_file_per_table=1.
2023-01-11 17:55:56 +02:00

250 lines
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--source include/have_innodb.inc
--source include/maybe_versioning.inc
# This is the DDL function tests for innodb FTS
# Functional testing with FTS proximity search using '@'
# and try search default words
# Create FTS table
CREATE TABLE t1 (
id INT UNSIGNED AUTO_INCREMENT NOT NULL PRIMARY KEY,
a VARCHAR(200),
b TEXT
) ENGINE= InnoDB;
# Create the FTS index again
CREATE FULLTEXT INDEX idx on t1 (a,b);
# Insert rows
INSERT INTO t1 (a,b) VALUES
('MySQL from Tutorial','DBMS stands for DataBase ...') ,
('when To Use MySQL Well','After that you went through a ...'),
('where will Optimizing MySQL','what In this tutorial we will show ...');
# Try to Search default stopword from innodb, "where", "will", "what"
# and "when" are all stopwords
SELECT * FROM t1 WHERE MATCH(a,b) AGAINST ("where will");
SELECT * FROM t1 WHERE MATCH(a,b) AGAINST ("when");
SELECT * FROM t1 WHERE MATCH(a,b) AGAINST ("what" WITH QUERY EXPANSION);
# boolean No result expected
SELECT * FROM t1 WHERE MATCH(a,b) AGAINST("whe*" IN BOOLEAN MODE);
SELECT * FROM t1 WHERE MATCH(a,b) AGAINST("+what +will" IN BOOLEAN MODE);
SELECT * FROM t1 WHERE MATCH(a,b) AGAINST("+from" IN BOOLEAN MODE);
SELECT * FROM t1 WHERE MATCH(a,b) AGAINST("+where +(show what)" IN BOOLEAN MODE);
# no result expected. Words are filtered out as stopwords
SELECT * FROM t1
WHERE MATCH (a,b)
AGAINST ('"where will"@6' IN BOOLEAN MODE);
# no result expected
SELECT * FROM t1
WHERE MATCH (a,b)
AGAINST ('"where will"@9' IN BOOLEAN MODE);
# insert record with @ character which is used in proximity search
INSERT INTO t1 (a,b) VALUES
('MySQL Tutorial','request docteam@oraclehelp.com ...') ,
('Trial version','query performace @1255 minute on 2.1Hz Memory 2GB...') ,
('when To Use MySQL Well','for free faq mail@xyz.com ...');
# proximity search with @ charcter
# We don't need more than one word in proximity search. Single word
# treated as single word search
SELECT * FROM t1
WHERE MATCH (a,b)
AGAINST ('"request"@10' IN BOOLEAN MODE);
# If the distance is 0, it is treated as "phrase search"
SELECT * FROM t1
WHERE MATCH (a,b)
AGAINST ('"Trial version"@0' IN BOOLEAN MODE);
# @ is word seperator
SELECT * FROM t1
WHERE MATCH (a,b)
AGAINST ('"request docteam@oraclehelp.com"@10' IN BOOLEAN MODE);
# This should not return any document
SELECT * FROM t1
WHERE MATCH (a,b)
AGAINST ('"1255 minute"@1' IN BOOLEAN MODE);
# This should return the first document. That is "1255" and "minutes" are
# in a two-word range (adjacent)
SELECT * FROM t1
WHERE MATCH (a,b)
AGAINST ('"1255 minute"@2' IN BOOLEAN MODE);
SELECT * FROM t1
WHERE MATCH (a,b)
AGAINST ('"1255"@10' IN BOOLEAN MODE);
SELECT * FROM t1
WHERE MATCH (a,b)
AGAINST ('1255' WITH QUERY EXPANSION);
SELECT * FROM t1
WHERE MATCH (a,b)
AGAINST ('"request docteam"@2' IN BOOLEAN MODE);
SELECT * FROM t1
WHERE MATCH (a,b)
AGAINST ('"1255 minute"' IN BOOLEAN MODE);
SELECT * FROM t1
WHERE MATCH (a,b)
AGAINST ('request docteam@oraclehelp.com');
# Test across fields search
SELECT * FROM t1
WHERE MATCH (a,b)
AGAINST ('"MySQL request"@3' IN BOOLEAN MODE);
# Two words are in 10 words range
SELECT * FROM t1
WHERE MATCH (a,b)
AGAINST ('"Trial memory"@10' IN BOOLEAN MODE);
SELECT * FROM t1
WHERE MATCH (a,b)
AGAINST ('"Trial memory"@9' IN BOOLEAN MODE);
DROP TABLE t1;
# test on utf8 encoded proximity search
CREATE TABLE t1 (
id INT UNSIGNED AUTO_INCREMENT NOT NULL PRIMARY KEY,
a VARCHAR(200),
b TEXT
) CHARACTER SET = UTF8, ENGINE= InnoDB;
INSERT INTO t1 (a,b) VALUES
('MySQL from Tutorial','DBMS stands for DataBase ...') ,
('when To Use MySQL Well','After that you went through a ...'),
('where will Optimizing MySQL','what In this tutorial we will show ...');
CREATE FULLTEXT INDEX idx on t1 (a,b);
INSERT INTO t1 (a,b) VALUES
('MySQL Tutorial','request docteam@oraclehelp.com ...') ,
('Trial version','query performace @1255 minute on 2.1Hz Memory 2GB...'),
('when To Use MySQL Well','for free faq mail@xyz.com ...');
# Should have 2 rows. Note proximity search does require words in order
SELECT * FROM t1
WHERE MATCH (a,b)
AGAINST ('"mysql use"@2' IN BOOLEAN MODE);
# Should return 0 row
SELECT * FROM t1
WHERE MATCH (a,b)
AGAINST ('"mysql use"@1' IN BOOLEAN MODE);
INSERT INTO t1 (a,b) VALUES ('XYZ, long blob', repeat("a", 9000));
INSERT IGNORE INTO t1 (a,b) VALUES (repeat("b", 9000), 'XYZ, long blob');
# 2 rows match
SELECT count(*) FROM t1
WHERE MATCH (a,b)
AGAINST ('"xyz blob"@3' IN BOOLEAN MODE);
DROP TABLE t1;
# Test fts with externally stored long column
CREATE TABLE t1 (
id INT UNSIGNED AUTO_INCREMENT NOT NULL PRIMARY KEY,
a TEXT,
b TEXT,
c TEXT
) CHARACTER SET = UTF8, ROW_FORMAT=DYNAMIC, ENGINE= InnoDB;
INSERT INTO t1 (a,b,c) VALUES (repeat("b", 19000), 'XYZ, long text', 'very long blob');
INSERT INTO t1 (a,b,c) VALUES (repeat("b", 19000), 'XYZ, very little long blob very much blob', 'very long blob');
# Note 租车 is count as one word
INSERT INTO t1 (a,b,c) VALUES (repeat("b", 19000),"very 租车 供 blob","new 供需分析information");
CREATE FULLTEXT INDEX idx on t1 (a,b,c);
INSERT INTO t1 (a,b,c) VALUES (repeat("x", 19000), 'new, long text', 'very new blob');
INSERT INTO t1 (a,b,c) VALUES ('interesting, long text', repeat("x", 19000), 'very very good new blob');
# 3 rows should match
SELECT count(*) FROM t1
WHERE MATCH (a,b,c)
AGAINST ('"very blob"@3' IN BOOLEAN MODE);
SELECT count(*) FROM t1
WHERE MATCH (a,b,c)
AGAINST ('"very long blob"@0' IN BOOLEAN MODE);
# 4 rows should match
SELECT count(*) FROM t1
WHERE MATCH (a,b,c)
AGAINST ('"very blob"@4' IN BOOLEAN MODE);
# 1 row should match
SELECT count(*) FROM t1
WHERE MATCH (a,b,c)
AGAINST ('"interesting blob"@9' IN BOOLEAN MODE);
# should have 3 rows
SELECT COUNT(*) FROM t1
WHERE MATCH (a,b,c)
AGAINST ('"interesting blob"@9 "very long blob"@0' IN BOOLEAN MODE);
# should have 3 rows
SELECT COUNT(*) FROM t1
WHERE MATCH (a,b,c)
AGAINST ('"very blob"@4 - "interesting blob"@9' IN BOOLEAN MODE);
DROP TABLE t1;
CREATE TABLE t1 (
id INT UNSIGNED AUTO_INCREMENT NOT NULL PRIMARY KEY,
a VARCHAR(200),
b TEXT
) CHARACTER SET = UTF8, ENGINE= InnoDB;
# Space and special characters are not counted as word
INSERT INTO t1 (a,b) VALUES
('MySQL from Tutorial','DBMS stands for + DataBase ...');
CREATE FULLTEXT INDEX idx on t1 (a,b);
SELECT * FROM t1
WHERE MATCH (a,b)
AGAINST ('"stands database"@3' IN BOOLEAN MODE);
DROP TABLE t1;
# Test fts with externally stored long column
CREATE TABLE t1 (
id INT UNSIGNED AUTO_INCREMENT NOT NULL PRIMARY KEY,
a TEXT,
b TEXT,
c TEXT
) CHARACTER SET = UTF8, ROW_FORMAT=DYNAMIC, ENGINE= InnoDB;
INSERT INTO t1 (a,b,c) VALUES (repeat("b", 19000), 'XYZ, long text', 'very long blob');
INSERT INTO t1 (a,b,c) VALUES ('XYZ, 租车 very little long blob very much blob', repeat("b", 19000), 'very long but smaller blob');
CREATE FULLTEXT INDEX idx on t1 (a,b,c);
DELETE FROM t1;
INSERT INTO t1 (a,b,c) VALUES (repeat("b", 19000), 'XYZ, long text', 'very long blob');
INSERT INTO t1 (a,b,c) VALUES ('XYZ, 租车 very little long blob is a very much longer blob', repeat("b", 19000), 'this is very long but smaller blob');
SELECT count(*) FROM t1
WHERE MATCH (a,b,c)
AGAINST ('"very blob"@4' IN BOOLEAN MODE);
SELECT count(*) FROM t1
WHERE MATCH (a,b,c)
AGAINST ('"very blob"@3' IN BOOLEAN MODE);
DROP TABLE t1;