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MySQL中索引的優(yōu)化的示例詳解
瀏覽:134日期:2023-02-18 16:43:47
目錄
- 使用索引優(yōu)化
- 數(shù)據(jù)準(zhǔn)備
- 避免索引失效應(yīng)用-全值匹配
- 避免索引失效應(yīng)用-最左前綴法則
- 避免索引失效應(yīng)用-其他匹配原則
使用索引優(yōu)化
索引是數(shù)據(jù)庫(kù)優(yōu)化最常用也是最重要的手段之一,通過(guò)索引通常可以幫助用戶解決大多數(shù)的MySQL的性能優(yōu)化問(wèn)題。
數(shù)據(jù)準(zhǔn)備
use world; create table tb_seller( sellerid varchar(100), name varchar(100), nickname varchar(50), password varchar(60), status varchar(1), address varchar(100), createtime datetime, primary key(sellerid)); insert into tb_seller values("alibaba","阿里巴巴","阿里小店","e10adc3949ba59abbe057f20f883e","1","北京市","2088-01-01 12:00:00"), ("baidu","百度科技有限公司","百度小店","e10adc3949ba59abbe057f20f883e","1","北京市","2088-01-01 12:00:00"), ("huawei","華為科技有限公司","華為小店","e10adc3949ba59abbe057f20f883e","0","北京市","2088-01-01 12:00:00"), ("itcast","傳智播客教育科技有限公司","傳智播客","e10adc3949ba59abbe057f20f883e","1","北京市","2088-01-01 12:00:00"), ("itheima","黑馬程序員","黑馬程序員","e10adc3949ba59abbe057f20f883e","0","北京市","2088-01-01 12:00:00"), ("luoji","羅技科技有限公司","羅技小店","e10adc3949ba59abbe057f20f883e","1","北京市","2088-01-01 12:00:00"), ("oppo","oppo科技有限公司","oppo官方旗艦店","e10adc3949ba59abbe057f20f883e","0","北京市","2088-01-01 12:00:00"), ("ourpalm","掌趣科技股份有限公司","掌趣小店","e10adc3949ba59abbe057f20f883e","1","北京市","2088-01-01 12:00:00"), ("qiandu","千度科技","千度小店","e10adc3949ba59abbe057f20f883e","2","北京市","2088-01-01 12:00:00"), ("sina","新浪科技有限公司","新浪官方旗艦店","e10adc3949ba59abbe057f20f883e","1","北京市","2088-01-01 12:00:00"), ("xiaomi","小米科技","小米官方旗艦店","e10adc3949ba59abbe057f20f883e","1","西安市","2088-01-01 12:00:00"), ("yijia","宜家家居","宜家官方旗艦店","e10adc3949ba59abbe057f20f883e","1","北京市","2088-01-01 12:00:00"); -- 創(chuàng)建組合索引create index index_seller_name_sta_addr on tb_seller(name,status,address);
避免索引失效應(yīng)用-全值匹配
該情況下,索引生效,執(zhí)行效率高。
-- 避免索引失效應(yīng)用-全值匹配-- 全值匹配,和字段匹配成功即可,和字段順序無(wú)關(guān)explain select * from tb_seller ts where name ="小米科技" and status ="1" and address ="北京市"; explain select * from tb_seller ts where status ="1" and name ="小米科技" and address ="北京市";
避免索引失效應(yīng)用-最左前綴法則
該情況下,索引生效,執(zhí)行效率高。
-- 避免索引失效應(yīng)用-最左前綴法則-- 如果索引了多列,要遵守最左前綴法則,指的是查詢從索引的最左前列開(kāi)始,并且不跳過(guò)索引中的列explain select * from tb_seller ts where name="小米科技";-- key_lem:403explain select * from tb_seller ts where name="小米科技" and status ="1";-- key_lem:410explain select * from tb_seller ts where status ="1" and name="小米科技" ;-- key_lem:410,依然跟順序無(wú)關(guān) -- 違反最左前綴法則,索引失效explain select * from tb_seller ts where status ="1";-- 違反最左前綴法則,索引失效 -- 如果符合最左前綴法則,但是出現(xiàn)跳躍某一列,只有最左列索引生效explain select * from tb_seller where name="小米科技" and address="北京市";-- key_lem:403
避免索引失效應(yīng)用-其他匹配原則
該情況下,索引生效,執(zhí)行效率高。
1、情況一
-- 避免索引失效應(yīng)用-其他匹配原則-- 范圍查詢右邊的列,不能使用索引explain select * from tb_seller where name= "小米科技" and status >"1" and address="北京市";-- key_lem:410,沒(méi)有使用status這個(gè)索引-- 不要在索引列上進(jìn)行運(yùn)算操作,索引將失效。explain select * from tb_seller where substring(name,3,2) ="科技";-- 沒(méi)有使用索引-- 字符串不加單引號(hào),造成索引失效。explain select * from tb_seller where name="小米科技" and status = 1 ;-- key_lem:403,沒(méi)有使用status這個(gè)索引
2、 情況二
explain中的extra列
extra含義using filesort說(shuō)明mysq|會(huì)對(duì)數(shù)據(jù)使用一個(gè)外部的索引排序,而不是按照表內(nèi)的索引順序進(jìn)行讀取,稱為“文件排序" ,效率低。using temporary需要建立臨時(shí)表(temporary table)來(lái)暫存中間結(jié)果,常見(jiàn)于order by和group by;效率低using indexSQL所需要返回的所有列數(shù)據(jù)均在一棵索引樹(shù)上,避免訪問(wèn)表的數(shù)據(jù)行,效率不錯(cuò)using where在查找使用索引的情況下,需要回表去查詢所需的數(shù)據(jù)using index condition查找使用了索引,但是需要回表查詢數(shù)據(jù)using index;using where查找使用了索引,但是需要的數(shù)據(jù)都在索引列中能找到,所以不需要回表查詢數(shù)據(jù)但是再加有個(gè)password
3、情況三
4、情況四
5、 如果MySQL評(píng)估使用索引比全表更慢,則不使用索引。is NULL , is NOT NULL有時(shí)有效,有時(shí)索引失效。in走索引,not in索引失效。單列索引和復(fù)合索引,盡量使用符合索引
驗(yàn)證
創(chuàng)建了單一的三個(gè)索引,最后面where全使用了但explain顯示只用了index_name
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