查询背景
有一个表tmp_test_course大概有10万条记录,然后有个json字段叫outline,存了一对多关系(保存了多个编码,例如jy1577683381775)
我们需要在这10万条数据中检索特定类型的数据,目标总数据量:2931
条
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select count (*) from tmp_test_course where `type`=5 and del=2 and is_leaf=1 |
我们在限定为上面类型的同时,还得包含下面任意一个编码(也就是or查询)
jy1577683381775
jy1577683380808
jy1577683379178
jy1577683378676
jy1577683377617
jy1577683376672
jy1577683375903
jy1578385720787
jy1499916986208
jy1499917112460
jy1499917093400
jy1499917335579
jy1499917334770
jy1499917333339
jy1499917331557
jy1499917330833
jy1499917329615
jy1499917328496
jy1576922006950
jy1499916993558
jy1499916992308
jy1499917003454
jy1499917002952
下面分别列出4种方式查询outline字段,给出相应的查询时间和扫描行数
一、like查询
耗时248毫秒
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select * from tmp_test_course where `type`=5 and del=2 and is_leaf=1 and ( outline like '%jy1577683381775%' or outline like '%jy1577683380808%' or outline like '%jy1577683379178%' or outline like '%jy1577683378676%' or outline like '%jy1577683377617%' or outline like '%jy1577683376672%' or outline like '%jy1577683375903%' or outline like '%jy1578385720787%' or outline like '%jy1499916986208%' or outline like '%jy1499917112460%' or outline like '%jy1499917093400%' or outline like '%jy1499917335579%' or outline like '%jy1499917334770%' or outline like '%jy1499917333339%' or outline like '%jy1499917331557%' or outline like '%jy1499917330833%' or outline like '%jy1499917329615%' or outline like '%jy1499917328496%' or outline like '%jy1576922006950%' or outline like '%jy1499916993558%' or outline like '%jy1499916992308%' or outline like '%jy1499917003454%' or outline like '%jy1499917002952%' ) |
explain分析结果如下,全表扫描
二、json函数查询
耗时196毫秒,速度稍微快了一点
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select * from tmp_test_course where `type`=5 and del=2 and is_leaf=1 and ( json_search(outline, 'one' , 'jy1577683381775' ) is not null or json_search(outline, 'one' , 'jy1577683380808' ) is not null or json_search(outline, 'one' , 'jy1577683379178' ) is not null or json_search(outline, 'one' , 'jy1577683378676' ) is not null or json_search(outline, 'one' , 'jy1577683377617' ) is not null or json_search(outline, 'one' , 'jy1577683376672' ) is not null or json_search(outline, 'one' , 'jy1577683375903' ) is not null or json_search(outline, 'one' , 'jy1578385720787' ) is not null or json_search(outline, 'one' , 'jy1499916986208' ) is not null or json_search(outline, 'one' , 'jy1499917112460' ) is not null or json_search(outline, 'one' , 'jy1499917093400' ) is not null or json_search(outline, 'one' , 'jy1499917335579' ) is not null or json_search(outline, 'one' , 'jy1499917334770' ) is not null or json_search(outline, 'one' , 'jy1499917333339' ) is not null or json_search(outline, 'one' , 'jy1499917331557' ) is not null or json_search(outline, 'one' , 'jy1499917330833' ) is not null or json_search(outline, 'one' , 'jy1499917329615' ) is not null or json_search(outline, 'one' , 'jy1499917328496' ) is not null or json_search(outline, 'one' , 'jy1576922006950' ) is not null or json_search(outline, 'one' , 'jy1499916993558' ) is not null or json_search(outline, 'one' , 'jy1499916992308' ) is not null or json_search(outline, 'one' , 'jy1499917003454' ) is not null or json_search(outline, 'one' , 'jy1499917002952' ) is not null ) |
explain分析结果如下,还是全表扫描
三、联合索引查询
下面为该表建立一个联合索引(本来想建一个type-del-is_leaf-outline的索引,但是outline字段太长限制,所以只加type-del-is_leaf的联合索引
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alter table tmp_test_course add key `type-del-is_leaf` (`type`,`del`,`is_leaf`) |
加入索引后再执行like和json查询,明显提速。
like执行用了136毫秒,json查询用了82.6毫秒,由此可见针对json类型使用json函数查询比like快
explain分析结果如下,两者查询扫描的行数都限定在了2931行
四、全文索引查询
因为全文索引只支持char、varchar和text,我们需要把json字段定义改一下
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alter table tmp_test_course modify `outline` varchar (1024) not null default '[]' |
添加全文索引
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alter table tmp_test_course add fulltext index outline (outline); |
现在再来用全文索引进行检索
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select * from tmp_test_course where `type`=5 and del=2 and is_leaf=1 and match(outline) against ( 'jy1577683381775 jy1577683380808 jy1577683379178 jy1577683378676 jy1577683377617 jy1577683376672 jy1577683375903 jy1578385720787 jy1499916986208 jy1499917112460 jy1499917093400 jy1499917335579 jy1499917334770 jy1499917333339 jy1499917331557 jy1499917330833 jy1499917329615 jy1499917328496 jy1576922006950 jy1499916993558 jy1499916992308 jy1499917003454 jy1499917002952' ) |
耗时11.6毫秒,速度提升极其明显,可见全文索引的牛逼。
explain分析结果如下,显示只扫描了一行
结论
以下是4种情况的执行结果
全文索引: 11.6ms
联合索引:82.6ms(json)、136ms(like)
json函数查询:196ms
like查询: 248ms
结论:全文索引 > 联合索引 > json函数查询 > like查询
数据量越大,全文索引速度越明显,就10万的量,查询速度大概比直接查询快了20倍左右,如果是百万或千万级别的表,提升差距会更加大,所以有条件还是老老实实用全文索引吧
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原文链接:https://www.cnblogs.com/chenqionghe/p/12367268.html