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228b7e4db5
This imports and adapts a number of MySQL 5.7 test cases that are applicable to MariaDB. Some tests for old bug fixes are not that relevant because the code has been refactored since then (especially starting with MariaDB Server 10.6), and the tests would not reproduce the original bug if the fix was reverted. In the test innodb_fts.opt, there are many duplicate MATCH ranks, which would make the results nondeterministic. The test was stabilized by changing some LIMIT clauses or by adding sorted_result in those cases where the purpose of a test was to show that no sorting took place in the server. In the test innodb_fts.phrase, MySQL 5.7 would generate FTS_DOC_ID that are 1 larger than in MariaDB. In innodb_fts.index_table the difference is 2. This is because in MariaDB, fts_get_next_doc_id() post-increments cache->next_doc_id, while MySQL 5.7 pre-increments it. Reviewed by: Thirunarayanan Balathandayuthapani
263 lines
7.9 KiB
Text
263 lines
7.9 KiB
Text
--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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--disable_warnings
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drop table if exists t1;
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--enable_warnings
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--disable_query_log
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let $innodb_file_per_table_orig = `select @@innodb_file_per_table`;
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--enable_query_log
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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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set global innodb_file_per_table=1;
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set names utf8;
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--character_set utf8
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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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eval SET GLOBAL innodb_file_per_table=$innodb_file_per_table_orig;
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