有一個表tmp_test_course大概有10萬條記錄,而後有個json字段叫outline,存了一對多關係(保存了多個編碼,例如jy1577683381775)html
咱們須要在這10萬條數據中檢索特定類型的數據,目標總數據量:2931
條mysql
SELECT COUNT(*) FROM tmp_test_course WHERE `type`=5 AND del=2 AND is_leaf=1
咱們在限定爲上面類型的同時,還得包含下面任意一個編碼(也就是OR查詢)sql
jy1577683381775 jy1577683380808 jy1577683379178 jy1577683378676 jy1577683377617 jy1577683376672 jy1577683375903 jy1578385720787 jy1499916986208 jy1499917112460 jy1499917093400 jy1499917335579 jy1499917334770 jy1499917333339 jy1499917331557 jy1499917330833 jy1499917329615 jy1499917328496 jy1576922006950 jy1499916993558 jy1499916992308 jy1499917003454 jy1499917002952
下面分別列出4種方式查詢outline字段,給出相應的查詢時間和掃描行數json
耗時248毫秒ide
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分析結果以下,全表掃描函數
使用函數JSON_SEARCH,更多函數請查看MySQL官方文檔編碼
能夠看到,查詢耗時196毫秒,速度稍微快了一點code
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分析結果以下,仍是全表掃描htm
下面爲該表創建一個聯合索引(原本想建一個type-del-is_leaf-outline的索引,可是outline字段太長限制,因此只加type-del-is_leaf的聯合索引blog
ALTER TABLE tmp_test_course ADD KEY `type-del-is_leaf` (`type`,`del`,`is_leaf`)
加入索引後再執行like和json查詢,明顯提速。
like執行用了136毫秒,json查詢用了82.6毫秒,因而可知針對json類型使用json函數查詢比like快
EXPLAIN分析結果以下,二者查詢掃描的行數都限定在了2931行
由於全文索引只支持CHAR、VARCHAR和TEXT,咱們須要把JSON字段定義改一下
ALTER TABLE tmp_test_course MODIFY `outline` VARCHAR(1024) NOT NULL DEFAULT '[]'
添加全文索引
ALTER TABLE tmp_test_course ADD FULLTEXT INDEX outline (outline);
如今再來用全文索引進行檢索
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')
耗時11.6毫秒,速度提高極其明顯,可見全文索引的牛逼。
EXPLAIN分析結果以下,顯示只掃描了一行
如下是4種狀況的執行結果
全文索引: 11.6ms
聯合索引:82.6ms(json)、136ms(like)
json函數查詢:196ms
like查詢: 248ms
結論:全文索引 > 聯合索引 > json函數查詢 > like查詢數據量越大,全文索引速度越明顯,就10萬的量,查詢速度大概比直接查詢快了20倍左右,若是是百萬或千萬級別的表,提高差距會更加大,因此有條件仍是老老實實用全文索引吧