创建表,字段tid上无索引(mysql 5.7)

CREATE TABLE `test` (
`tid` int(11) DEFAULT NULL,
`tname` varchar(12) DEFAULT NULL,
`test_id` int(11) NOT NULL AUTO_INCREMENT COMMENT '主键',
`tvalue` varchar(90) DEFAULT NULL,
`CreateTime` datetime DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
`c1` varchar(11) DEFAULT NULL,
`c2` varchar(11) DEFAULT NULL,
PRIMARY KEY (`test_id`)
) ENGINE=InnoDB AUTO_INCREMENT=55652 DEFAULT CHARSET=utf8mb4

tid上无索引

mysql> explain select * from test where test_id < 4 order by tid;
+----+-------------+-------+------------+-------+---------------+---------+---------+------+------+----------+-----------------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+-------+---------------+---------+---------+------+------+----------+-----------------------------+
| 1 | SIMPLE | test | NULL | range | PRIMARY | PRIMARY | 4 | NULL | 2 | 100.00 | Using where; Using filesort |
+----+-------------+-------+------------+-------+---------------+---------+---------+------+------+----------+-----------------------------+
1 row in set, 1 warning (0.00 sec)

在使用order by关键字的时候,如果待排序的内容不能由所使用的索引直接完成排序的话,那么mysql有可能就要进行文件排序。

【这个 filesort 并不是说通过磁盘文件进行排序,而只是告诉我们进行了一个排序操作而已】。

当然,using filesort不一定引起mysql的性能问题。但是如果查询次数非常多,那么每次在mysql中进行排序,还是会有影响的。
此时,可以进行的优化:
1、修改逻辑,不在mysql中使用order by而是在应用中自己进行排序。
2、使用mysql索引,将待排序的内容放到索引中,直接利用索引的排序。

mysql> alter table test add index idx_c(c1,c2);
Query OK, 0 rows affected (0.04 sec)
Records: 0 Duplicates: 0 Warnings: 0 mysql> explain select tid from test where c1='' order by c2 ;
+----+-------------+-------+------------+------+---------------+-------+---------+-------+------+----------+-----------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+------+---------------+-------+---------+-------+------+----------+-----------------------+
| 1 | SIMPLE | test | NULL | ref | idx_c | idx_c | 47 | const | 1 | 100.00 | Using index condition |
+----+-------------+-------+------------+------+---------------+-------+---------+-------+------+----------+-----------------------+
1 row in set, 1 warning (0.00 sec)

只对order by 后的字段加索引并不能避免filesort,还需要在where条件中使用该字段;

mysql> explain select tid from test where c1='' order by c1 ;
+----+-------------+-------+------------+------+---------------+-------+---------+-------+------+----------+-------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+------+---------------+-------+---------+-------+------+----------+-------+
| 1 | SIMPLE | test | NULL | ref | idx_c | idx_c | 47 | const | 1 | 100.00 | NULL |
+----+-------------+-------+------------+------+---------------+-------+---------+-------+------+----------+-------+
1 row in set, 1 warning (0.00 sec) mysql> explain select tid from test where c1='' order by c2 ;
+----+-------------+-------+------------+------+---------------+-------+---------+-------+------+----------+-----------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+------+---------------+-------+---------+-------+------+----------+-----------------------+
| 1 | SIMPLE | test | NULL | ref | idx_c | idx_c | 47 | const | 1 | 100.00 | Using index condition |
+----+-------------+-------+------------+------+---------------+-------+---------+-------+------+----------+-----------------------+
1 row in set, 1 warning (0.00 sec) mysql> explain select tid from test where test_id < 5 order by c2 ;
+----+-------------+-------+------------+-------+---------------+---------+---------+------+------+----------+-----------------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+-------+---------------+---------+---------+------+------+----------+-----------------------------+
| 1 | SIMPLE | test | NULL | range | PRIMARY | PRIMARY | 4 | NULL | 2 | 100.00 | Using where; Using filesort |
+----+-------------+-------+------------+-------+---------------+---------+---------+------+------+----------+-----------------------------+
1 row in set, 1 warning (0.00 sec) mysql> explain select tid from test where test_id < 5 order by c1 ;
+----+-------------+-------+------------+-------+---------------+---------+---------+------+------+----------+-----------------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+-------+---------------+---------+---------+------+------+----------+-----------------------------+
| 1 | SIMPLE | test | NULL | range | PRIMARY | PRIMARY | 4 | NULL | 2 | 100.00 | Using where; Using filesort |
+----+-------------+-------+------------+-------+---------------+---------+---------+------+------+----------+-----------------------------+
1 row in set, 1 warning (0.00 sec)
mysql> alter table test add index idx_tid(tid);
Query OK, 0 rows affected (0.05 sec)
Records: 0 Duplicates: 0 Warnings: 0 mysql> explain select * from test where test_id < 4 order by tid;
+----+-------------+-------+------------+-------+---------------+---------+---------+------+------+----------+-----------------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+-------+---------------+---------+---------+------+------+----------+-----------------------------+
| 1 | SIMPLE | test | NULL | range | PRIMARY | PRIMARY | 4 | NULL | 2 | 100.00 | Using where; Using filesort |
+----+-------------+-------+------------+-------+---------------+---------+---------+------+------+----------+-----------------------------+
1 row in set, 1 warning (0.00 sec)
mysql> explain select tid from test where tid < 5 order by tid ;
+----+-------------+-------+------------+-------+---------------+---------+---------+------+------+----------+--------------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+-------+---------------+---------+---------+------+------+----------+--------------------------+
| 1 | SIMPLE | test | NULL | range | idx_tid | idx_tid | 5 | NULL | 28 | 100.00 | Using where; Using index |
+----+-------------+-------+------------+-------+---------------+---------+---------+------+------+----------+--------------------------+
1 row in set, 1 warning (0.00 sec)

mysql explain using filesort的更多相关文章

  1. 【转载】 mysql explain用法

    转载链接:  mysql explain用法 官网说明:     http://dev.mysql.com/doc/refman/5.7/en/explain-output.html 参数:  htt ...

  2. Mysql Explain 详解(转)

    原文:http://www.cnitblog.com/aliyiyi08/archive/2008/09/09/48878.html 一.语法 explain < table_name > ...

  3. mysql explain详解

    对于经常使用mysql的兄弟们,对explain一定不会陌生.当你在一条SELECT语句前放上关键词EXPLAIN,MySQL解释它将如何处理SELECT,提供有关表如何联合和以什么次序的信息.借助于 ...

  4. mysql explain用法和结果的含义

    重点是第二种用法,需要深入的了解. 先看一个例子: mysql> explain select * from t_order; +----+-------------+---------+--- ...

  5. [转]MySQL Explain详解

    在日常工作中,我们会有时会开慢查询去记录一些执行时间比较久的SQL语句,找出这些SQL语句并不意味着完事了,些时我们常常用到explain这个命令来查看一个这些SQL语句的执行计划,查看该SQL语句有 ...

  6. mysql explain 命令讲解

    explian命令可以显示select语句的执行计划 explain的结果中每行对应select语句中的一个表,输出结果中的顺序是按照语句处理表的顺序. mysql使用嵌套循环来处理所有的join连接 ...

  7. mysql explain用法和结果的含义(转)

    重点是第二种用法,需要深入的了解. 先看一个例子: mysql> explain select * from t_order; +----+-------------+---------+--- ...

  8. [mysql] mysql explain 使用

    explain显示了mysql如何使用索引来处理select语句以及连接表.可以帮助选择更好的索引和写出更优化的查询语句. 先解析一条sql语句,看出现什么内容 EXPLAINSELECTs.uid, ...

  9. mysql优化 mysql explain

    一篇文章: 使用use index优化sql查询   先看一下arena_match_index的表结构,大家注意表的索引结构CREATE TABLE `arena_match_index` (  ` ...

随机推荐

  1. Linux部署Apollo+.Net Core简单使用

    Apollo官方网站非常详细,以下只是本人学习过程的整理 一.概念 Apollo(阿波罗)是一款可靠的分布式配置管理中心,能够集中化管理应用不同环境.不同集群的配置,配置修改后能够实时推送到应用端,并 ...

  2. ELK集群之filebeat(6)

    filebeat工作原理 ilebeat是本地文件的日志数据采集器. 作为服务器上的代理安装,Filebeat监视日志目录或特定日志文件,tail file,并将它们转发给Elasticsearch或 ...

  3. Spark的安装及其配置

    1.Spark下载 https://archive.apache.org/dist/spark/ 2.上传解压,配置环境变量 配置bin目录 解压:tar -zxvf spark-2.4.5-bin- ...

  4. 自动化SQL注入工具 sqlmap 使用手册

    0x00 sqlmap介绍 什么是sqlmap? sqlmap是一个开源的渗透测试工具,它自动化了检测和利用SQL注入缺陷 以及接管数据库服务器的过程.它配备了一个强大的检测引擎 ,以及终极渗透测试仪 ...

  5. WebRTC概念介绍

    WebRTC WebRTC(Web Real-Time Communication).Real-Time Communication,实时通讯. WebRTC能让web应用和站点之间选择性地分享音视频 ...

  6. 谷粒 | 11 | nginx windows版简单安装使用

    nginx配置 下载安装 传送门:官网下载 官网提供三种版本: Mainline version:Mainline 是 Nginx 目前主力在做的版本,可以说是开发版 Stable version:最 ...

  7. MySQL基础语句(查询)

    students表 id class_id name gender score 1 1 小明 M 90 2 1 小红 F 95 3 1 小军 M 88 4 1 小米 F 73 5 2 小白 F 81 ...

  8. Python 字符串索引、切片、修改

    字符串索引.切片.修改1.字符串操作(切片.修改)应用场景    a.爬虫截取网址数据    b.数据分析,语言处理(分词)    c.电信号码升级           0452 8869504   ...

  9. PAT A1091——BFS

    Acute Stroke One important factor to identify acute stroke (急性脑卒中) is the volume of the stroke core. ...

  10. [cf1217F]Forced Online Queries Problem

    可以用并查集维护连通性,删除可以用按置合并并查集,但删掉一条边后无法再维护两点的联通性了(因为产生环的边是不加入的)暴力思路是, 考虑前i个操作后边的集合,暴力加入即可,但复杂度是$o(n^2)$的用 ...