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Before commit6112853cdain 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 commitb5852ffbee. Starting with commitbaf276e6d4(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 commit86dc7b4d4c(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.
250 lines
7.6 KiB
Plaintext
250 lines
7.6 KiB
Plaintext
--source include/have_innodb.inc
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--source include/maybe_versioning.inc
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# This is the DDL function tests for innodb FTS
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# Functional testing with FTS proximity search using '@'
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# and try search default words
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# Create FTS table
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CREATE TABLE t1 (
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id INT UNSIGNED AUTO_INCREMENT NOT NULL PRIMARY KEY,
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a VARCHAR(200),
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b TEXT
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) ENGINE= InnoDB;
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# Create the FTS index again
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CREATE FULLTEXT INDEX idx on t1 (a,b);
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# Insert rows
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INSERT INTO t1 (a,b) VALUES
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('MySQL from Tutorial','DBMS stands for DataBase ...') ,
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('when To Use MySQL Well','After that you went through a ...'),
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('where will Optimizing MySQL','what In this tutorial we will show ...');
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# Try to Search default stopword from innodb, "where", "will", "what"
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# and "when" are all stopwords
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SELECT * FROM t1 WHERE MATCH(a,b) AGAINST ("where will");
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SELECT * FROM t1 WHERE MATCH(a,b) AGAINST ("when");
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SELECT * FROM t1 WHERE MATCH(a,b) AGAINST ("what" WITH QUERY EXPANSION);
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# boolean No result expected
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SELECT * FROM t1 WHERE MATCH(a,b) AGAINST("whe*" IN BOOLEAN MODE);
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SELECT * FROM t1 WHERE MATCH(a,b) AGAINST("+what +will" IN BOOLEAN MODE);
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SELECT * FROM t1 WHERE MATCH(a,b) AGAINST("+from" IN BOOLEAN MODE);
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SELECT * FROM t1 WHERE MATCH(a,b) AGAINST("+where +(show what)" IN BOOLEAN MODE);
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# no result expected. Words are filtered out as stopwords
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SELECT * FROM t1
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WHERE MATCH (a,b)
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AGAINST ('"where will"@6' IN BOOLEAN MODE);
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# no result expected
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SELECT * FROM t1
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WHERE MATCH (a,b)
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AGAINST ('"where will"@9' IN BOOLEAN MODE);
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# insert record with @ character which is used in proximity search
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INSERT INTO t1 (a,b) VALUES
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('MySQL Tutorial','request docteam@oraclehelp.com ...') ,
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('Trial version','query performace @1255 minute on 2.1Hz Memory 2GB...') ,
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('when To Use MySQL Well','for free faq mail@xyz.com ...');
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# proximity search with @ charcter
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# We don't need more than one word in proximity search. Single word
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# treated as single word search
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SELECT * FROM t1
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WHERE MATCH (a,b)
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AGAINST ('"request"@10' IN BOOLEAN MODE);
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# If the distance is 0, it is treated as "phrase search"
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SELECT * FROM t1
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WHERE MATCH (a,b)
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AGAINST ('"Trial version"@0' IN BOOLEAN MODE);
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# @ is word seperator
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SELECT * FROM t1
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WHERE MATCH (a,b)
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AGAINST ('"request docteam@oraclehelp.com"@10' IN BOOLEAN MODE);
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# This should not return any document
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SELECT * FROM t1
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WHERE MATCH (a,b)
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AGAINST ('"1255 minute"@1' IN BOOLEAN MODE);
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# This should return the first document. That is "1255" and "minutes" are
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# in a two-word range (adjacent)
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SELECT * FROM t1
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WHERE MATCH (a,b)
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AGAINST ('"1255 minute"@2' IN BOOLEAN MODE);
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SELECT * FROM t1
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WHERE MATCH (a,b)
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AGAINST ('"1255"@10' IN BOOLEAN MODE);
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SELECT * FROM t1
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WHERE MATCH (a,b)
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AGAINST ('1255' WITH QUERY EXPANSION);
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SELECT * FROM t1
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WHERE MATCH (a,b)
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AGAINST ('"request docteam"@2' IN BOOLEAN MODE);
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SELECT * FROM t1
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WHERE MATCH (a,b)
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AGAINST ('"1255 minute"' IN BOOLEAN MODE);
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SELECT * FROM t1
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WHERE MATCH (a,b)
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AGAINST ('request docteam@oraclehelp.com');
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# Test across fields search
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SELECT * FROM t1
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WHERE MATCH (a,b)
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AGAINST ('"MySQL request"@3' IN BOOLEAN MODE);
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# Two words are in 10 words range
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SELECT * FROM t1
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WHERE MATCH (a,b)
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AGAINST ('"Trial memory"@10' IN BOOLEAN MODE);
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SELECT * FROM t1
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WHERE MATCH (a,b)
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AGAINST ('"Trial memory"@9' IN BOOLEAN MODE);
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DROP TABLE t1;
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# test on utf8 encoded proximity search
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CREATE TABLE t1 (
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id INT UNSIGNED AUTO_INCREMENT NOT NULL PRIMARY KEY,
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a VARCHAR(200),
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b TEXT
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) CHARACTER SET = UTF8, ENGINE= InnoDB;
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INSERT INTO t1 (a,b) VALUES
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('MySQL from Tutorial','DBMS stands for DataBase ...') ,
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('when To Use MySQL Well','After that you went through a ...'),
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('where will Optimizing MySQL','what In this tutorial we will show ...');
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CREATE FULLTEXT INDEX idx on t1 (a,b);
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INSERT INTO t1 (a,b) VALUES
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('MySQL Tutorial','request docteam@oraclehelp.com ...') ,
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('Trial version','query performace @1255 minute on 2.1Hz Memory 2GB...'),
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('when To Use MySQL Well','for free faq mail@xyz.com ...');
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# Should have 2 rows. Note proximity search does require words in order
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SELECT * FROM t1
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WHERE MATCH (a,b)
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AGAINST ('"mysql use"@2' IN BOOLEAN MODE);
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# Should return 0 row
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SELECT * FROM t1
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WHERE MATCH (a,b)
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AGAINST ('"mysql use"@1' IN BOOLEAN MODE);
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INSERT INTO t1 (a,b) VALUES ('XYZ, long blob', repeat("a", 9000));
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INSERT IGNORE INTO t1 (a,b) VALUES (repeat("b", 9000), 'XYZ, long blob');
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# 2 rows match
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SELECT count(*) FROM t1
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WHERE MATCH (a,b)
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AGAINST ('"xyz blob"@3' IN BOOLEAN MODE);
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DROP TABLE t1;
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# Test fts with externally stored long column
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CREATE TABLE t1 (
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id INT UNSIGNED AUTO_INCREMENT NOT NULL PRIMARY KEY,
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a TEXT,
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b TEXT,
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c TEXT
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) CHARACTER SET = UTF8, ROW_FORMAT=DYNAMIC, ENGINE= InnoDB;
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INSERT INTO t1 (a,b,c) VALUES (repeat("b", 19000), 'XYZ, long text', 'very long blob');
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INSERT INTO t1 (a,b,c) VALUES (repeat("b", 19000), 'XYZ, very little long blob very much blob', 'very long blob');
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# Note 租车 is count as one word
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INSERT INTO t1 (a,b,c) VALUES (repeat("b", 19000),"very 租车 供 blob","new 供需分析information");
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CREATE FULLTEXT INDEX idx on t1 (a,b,c);
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INSERT INTO t1 (a,b,c) VALUES (repeat("x", 19000), 'new, long text', 'very new blob');
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INSERT INTO t1 (a,b,c) VALUES ('interesting, long text', repeat("x", 19000), 'very very good new blob');
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# 3 rows should match
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SELECT count(*) FROM t1
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WHERE MATCH (a,b,c)
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AGAINST ('"very blob"@3' IN BOOLEAN MODE);
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SELECT count(*) FROM t1
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WHERE MATCH (a,b,c)
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AGAINST ('"very long blob"@0' IN BOOLEAN MODE);
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# 4 rows should match
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SELECT count(*) FROM t1
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WHERE MATCH (a,b,c)
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AGAINST ('"very blob"@4' IN BOOLEAN MODE);
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# 1 row should match
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SELECT count(*) FROM t1
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WHERE MATCH (a,b,c)
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AGAINST ('"interesting blob"@9' IN BOOLEAN MODE);
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# should have 3 rows
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SELECT COUNT(*) FROM t1
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WHERE MATCH (a,b,c)
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AGAINST ('"interesting blob"@9 "very long blob"@0' IN BOOLEAN MODE);
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# should have 3 rows
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SELECT COUNT(*) FROM t1
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WHERE MATCH (a,b,c)
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AGAINST ('"very blob"@4 - "interesting blob"@9' IN BOOLEAN MODE);
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DROP TABLE t1;
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CREATE TABLE t1 (
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id INT UNSIGNED AUTO_INCREMENT NOT NULL PRIMARY KEY,
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a VARCHAR(200),
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b TEXT
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) CHARACTER SET = UTF8, ENGINE= InnoDB;
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# Space and special characters are not counted as word
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INSERT INTO t1 (a,b) VALUES
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('MySQL from Tutorial','DBMS stands for + DataBase ...');
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CREATE FULLTEXT INDEX idx on t1 (a,b);
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SELECT * FROM t1
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WHERE MATCH (a,b)
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AGAINST ('"stands database"@3' IN BOOLEAN MODE);
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DROP TABLE t1;
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# Test fts with externally stored long column
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CREATE TABLE t1 (
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id INT UNSIGNED AUTO_INCREMENT NOT NULL PRIMARY KEY,
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a TEXT,
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b TEXT,
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c TEXT
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) CHARACTER SET = UTF8, ROW_FORMAT=DYNAMIC, ENGINE= InnoDB;
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INSERT INTO t1 (a,b,c) VALUES (repeat("b", 19000), 'XYZ, long text', 'very long blob');
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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');
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CREATE FULLTEXT INDEX idx on t1 (a,b,c);
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DELETE FROM t1;
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INSERT INTO t1 (a,b,c) VALUES (repeat("b", 19000), 'XYZ, long text', 'very long blob');
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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');
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SELECT count(*) FROM t1
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WHERE MATCH (a,b,c)
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AGAINST ('"very blob"@4' IN BOOLEAN MODE);
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SELECT count(*) FROM t1
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WHERE MATCH (a,b,c)
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AGAINST ('"very blob"@3' IN BOOLEAN MODE);
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DROP TABLE t1;
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