SQL優(yōu)化

MySQL優(yōu)化


體系結(jié)構(gòu)

MySQL Server由以下組成:Connection Pool(連接池組件);Management Service & Utilities(管理服務(wù)和工具組件);SQL Interface;Optimizer;Caches & Buffers;Pluggable Storage Engines(索引依靠于存儲(chǔ)引擎);File System;

索引

索引:幫助MySQL高校獲取數(shù)據(jù)的數(shù)據(jù)結(jié)構(gòu)(有序)。

索引設(shè)計(jì)原則

以下情況推薦建立索引:

  1. 主鍵自動(dòng)建立唯一索引
  2. 頻繁作為查詢(xún)條件的字段
  3. 查詢(xún)中與其他表關(guān)聯(lián)的字段,外鍵關(guān)系建立索引
  4. 單鍵/組合索引的選擇問(wèn)題,高并發(fā)下傾向創(chuàng)建組合索引
  5. 查詢(xún)中排序的字段,排序字段通過(guò)索引訪(fǎng)問(wèn)大幅提高排序速度
  6. 查詢(xún)中統(tǒng)計(jì)或分組字段

同時(shí),設(shè)計(jì)索引時(shí)可以遵循一些原則:

  1. 對(duì)查詢(xún)頻次較高,且數(shù)據(jù)量比較大的表建立索引;
  2. 索引字段的選擇,最佳候選應(yīng)當(dāng)從where子句中的條件中提??;
  3. 使用唯一索引,區(qū)分度越高,使用索引的效率越高;
  4. 索引越多越不易維護(hù);
  5. 使用短索引,索引創(chuàng)建后使用硬盤(pán)存儲(chǔ),短索引可以提升索引訪(fǎng)問(wèn)的I/O效率,可以提升總體的訪(fǎng)問(wèn)效率;
  6. 利用符合索引,對(duì)N個(gè)列組合而成的組合索引,就相當(dāng)于創(chuàng)建了N個(gè)索引,如果查詢(xún)時(shí)where子句中使用了組成該索引的前幾個(gè)字段,那么這條查詢(xún)SQL可以利用組合索引來(lái)提升查詢(xún)效率。

SQL性能監(jiān)測(cè)

查看SQL執(zhí)行頻率

以下命令顯示當(dāng)前session中所有統(tǒng)計(jì)參數(shù)的值:

show status like 'Com_______';

可以查看當(dāng)前數(shù)據(jù)庫(kù)以什么操作為主:

mysql> show status like 'Com_______';
+---------------+-------+
| Variable_name | Value |
+---------------+-------+
| Com_binlog    | 0     |
| Com_commit    | 0     |
| Com_delete    | 0     |
| Com_import    | 0     |
| Com_insert    | 0     |
| Com_repair    | 0     |
| Com_revoke    | 0     |
| Com_select    | 10    |
| Com_signal    | 0     |
| Com_update    | 0     |
| Com_xa_end    | 0     |
+---------------+-------+
11 rows in set (0.10 sec)

explain分析執(zhí)行計(jì)劃

explain select * from cnarea_2019 where id = 1;
image-20210305105526395

關(guān)于參數(shù)的初步解釋可以查看參考一。

慢查詢(xún)?nèi)罩?/h3>

默認(rèn)關(guān)閉。

show variables like 'slow_query%';
show variables like 'long_query%';
# 臨時(shí)開(kāi)啟
set global slow_query_log_file='/var/lib/mysql/tmp_slow.log';
set global long_query_time=1;
set global slow_query_log='ON';
image-20210305132149856

生成的文件格式如下:

image-20210305132605864

包含用戶(hù)、數(shù)據(jù)庫(kù)地址以及詳細(xì)的SQL語(yǔ)句。

索引的使用

索引驗(yàn)證

在測(cè)試索引之前,我們先準(zhǔn)備一張500萬(wàn)左右的數(shù)據(jù)表:

mysql> select count(*) from user;
+----------+
| count(*) |
+----------+
|  4999865 |
+----------+
1 row in set (2.51 sec)

mysql> select * from user limit 3;
+----+------------+------+------------+------------+
| id | username   | age  | address    | company    |
+----+------------+------+------------+------------+
|  1 | 88094c37-b |   54 | ecf48a5c-9 | e244831c-6 |
|  2 | 79c2f062-c |   71 | a03f8695-d | bd040bfb-1 |
|  3 | 18dd03ab-9 |   51 | 3332d698-a | 4b4fc273-a |
+----+------------+------+------------+------------+
3 rows in set (0.01 sec)

存儲(chǔ)一些隨機(jī)生成的數(shù)據(jù)。

當(dāng)前表除主鍵外并沒(méi)有索引。

mysql> select * from user where id = 3000000;
+---------+------------+------+------------+------------+
| id      | username   | age  | address    | company    |
+---------+------------+------+------------+------------+
| 3000000 | 3b7df0e5-d |   92 | 425d44f5-a | 2b508d46-0 |
+---------+------------+------+------------+------------+
1 row in set (0.00 sec)

mysql> select * from user where username = '3b7df0e5-d';
+---------+------------+------+------------+------------+
| id      | username   | age  | address    | company    |
+---------+------------+------+------------+------------+
| 3000000 | 3b7df0e5-d |   92 | 425d44f5-a | 2b508d46-0 |
+---------+------------+------+------------+------------+
1 row in set (2.93 sec)

可以看到,通過(guò)主鍵ID進(jìn)行查詢(xún)快于使用username查詢(xún),接下來(lái)我們?yōu)閡sername添加索引。

mysql> create index ind_username on user(username);
Query OK, 0 rows affected (32.32 sec)
Records: 0  Duplicates: 0  Warnings: 0

再進(jìn)行測(cè)試:

mysql> select * from user where id = 4320000;
+---------+------------+------+------------+------------+
| id      | username   | age  | address    | company    |
+---------+------------+------+------------+------------+
| 4320000 | dce56995-b |   26 | bc64326a-e | b01d5ba2-8 |
+---------+------------+------+------------+------------+
1 row in set (0.00 sec)

mysql> select * from user where username = "dce56995-b";
+---------+------------+------+------------+------------+
| id      | username   | age  | address    | company    |
+---------+------------+------+------------+------------+
| 4320000 | dce56995-b |   26 | bc64326a-e | b01d5ba2-8 |
+---------+------------+------+------------+------------+
1 row in set (0.00 sec)

建立索引后數(shù)據(jù)查詢(xún)效率與主鍵查詢(xún)速度相當(dāng)。

索引使用

刪除之前的索引

mysql> drop index ind_username on user;
Query OK, 0 rows affected (0.04 sec)
Records: 0  Duplicates: 0  Warnings: 0

為username、age、addresss創(chuàng)建復(fù)合索引:

mysql> create index ind_username_age_address on user(username,age,address);
Query OK, 0 rows affected (46.24 sec)
Records: 0  Duplicates: 0  Warnings: 0

先使用explain觀(guān)察SQL執(zhí)行計(jì)劃

mysql> explain select * from user where username = "dce56995-b" and age = 26 and company = "b01d5ba2-8"\G;
*************************** 1. row ***************************
           id: 1
  select_type: SIMPLE
        table: user
   partitions: NULL
         type: ref
possible_keys: ind_username_age_address
          key: ind_username_age_address
      key_len: 88
          ref: const,const
         rows: 1
     filtered: 10.00
        Extra: Using where
1 row in set, 1 warning (0.00 sec)

ERROR: 
No query specified

mysql> explain select * from user where username = "dce56995-b" and age = 26\G;
*************************** 1. row ***************************
           id: 1
  select_type: SIMPLE
        table: user
   partitions: NULL
         type: ref
possible_keys: ind_username_age_address
          key: ind_username_age_address
      key_len: 88
          ref: const,const
         rows: 1
     filtered: 100.00
        Extra: NULL
1 row in set, 1 warning (0.00 sec)

ERROR: 
No query specified

mysql> explain select * from user where username = "dce56995-b"\G;
*************************** 1. row ***************************
           id: 1
  select_type: SIMPLE
        table: user
   partitions: NULL
         type: ref
possible_keys: ind_username_age_address
          key: ind_username_age_address
      key_len: 83
          ref: const
         rows: 1
     filtered: 100.00
        Extra: NULL
1 row in set, 1 warning (0.00 sec)

ERROR: 
No query specified

可以看到以上三個(gè)查詢(xún)條件都可以走ind_username_age_address索引。

再看以下例子

mysql> explain select * from user where age = 26 and username = "dce56995-b"\G;
*************************** 1. row ***************************
           id: 1
  select_type: SIMPLE
        table: user
   partitions: NULL
         type: ref
possible_keys: ind_username_age_address
          key: ind_username_age_address
      key_len: 88
          ref: const,const
         rows: 1
     filtered: 100.00
        Extra: NULL
1 row in set, 1 warning (0.00 sec)

ERROR: 
No query specified

交換and左右條件該走索引依然會(huì)走。

但是如果查詢(xún)未經(jīng)過(guò)最左邊的列時(shí)便不會(huì)走索引

mysql> explain select * from user where age = 26 and address = "dce56995-b"\G;
*************************** 1. row ***************************
           id: 1
  select_type: SIMPLE
        table: user
   partitions: NULL
         type: ALL
possible_keys: NULL
          key: NULL
      key_len: NULL
          ref: NULL
         rows: 4981012
     filtered: 1.00
        Extra: Using where
1 row in set, 1 warning (0.01 sec)

ERROR: 
No query specified

下面總結(jié)了索引失效的可能原因。

索引失效

  1. 不符合最左匹配原則

    mysql> explain select * from user where  age = 26 and company = "b01d5ba2-8"\G;
    *************************** 1. row ***************************
               id: 1
      select_type: SIMPLE
            table: user
       partitions: NULL
             type: ALL
    possible_keys: NULL
              key: NULL
          key_len: NULL
              ref: NULL
             rows: 4981012
         filtered: 1.00
            Extra: Using where
    1 row in set, 1 warning (0.00 sec)
    
    ERROR: 
    No query specified
    
  2. 復(fù)合索引中范圍查詢(xún)右邊的列

    MySQL8中測(cè)試仍會(huì)走索引

    mysql> explain select * from user where username = "adb-5" and age > 64 and company = "e938fd76-e"\G;
    *************************** 1. row ***************************
               id: 1
      select_type: SIMPLE
            table: user
       partitions: NULL
             type: range
    possible_keys: ind_username_age_address
              key: ind_username_age_address
          key_len: 88
              ref: NULL
             rows: 1
         filtered: 10.00
            Extra: Using index condition; Using where
    1 row in set, 1 warning (0.00 sec)
    
    ERROR: 
    No query specified
    
    mysql> explain select * from user where username = "adb-5" and age = 64 and company = "e938fd76-e"\G;
    *************************** 1. row ***************************
               id: 1
      select_type: SIMPLE
            table: user
       partitions: NULL
             type: ref
    possible_keys: ind_username_age_address
              key: ind_username_age_address
          key_len: 88
              ref: const,const
             rows: 1
         filtered: 10.00
            Extra: Using where
    1 row in set, 1 warning (0.00 sec)
    
    ERROR: 
    No query specified
    

    只是type發(fā)生了變化。

  1. like查詢(xún)前有‘%’,eg: "%Hello"
    like使用索引如何避免失效

    我測(cè)試的時(shí)候發(fā)現(xiàn)都會(huì)走索引。

    mysql> explain select * from user where username = "%adb-5" and age = 64 and company = "e938fd76-e"\G;
    *************************** 1. row ***************************
               id: 1
      select_type: SIMPLE
            table: user
       partitions: NULL
             type: ref
    possible_keys: ind_username_age_address
              key: ind_username_age_address
          key_len: 88
              ref: const,const
             rows: 1
         filtered: 10.00
            Extra: Using where
    1 row in set, 1 warning (0.00 sec)
    
    ERROR: 
    No query specified
    
    mysql> explain select * from user where username = "adb-5" and age = 64 and company = "%e938fd76-e"\G;
    *************************** 1. row ***************************
               id: 1
      select_type: SIMPLE
            table: user
       partitions: NULL
             type: ref
    possible_keys: ind_username_age_address
              key: ind_username_age_address
          key_len: 88
              ref: const,const
             rows: 1
         filtered: 10.00
            Extra: Using where
    1 row in set, 1 warning (0.00 sec)
    
    ERROR: 
    No query specified
    

    猜測(cè):MySQL8對(duì)like模糊查詢(xún)進(jìn)行了優(yōu)化。

  1. or連接的條件,一個(gè)有索引,一個(gè)沒(méi)有,則整個(gè)索引都失效

    mysql> explain select * from user where username = "adb-5" or company = "Hello"\G;
    *************************** 1. row ***************************
               id: 1
      select_type: SIMPLE
            table: user
       partitions: NULL
             type: ALL
    possible_keys: ind_username_age_address
              key: NULL
          key_len: NULL
              ref: NULL
             rows: 4981012
         filtered: 10.00
            Extra: Using where
    1 row in set, 1 warning (0.00 sec)
    
    ERROR: 
    No query specified
    
  2. 字符串未加單引號(hào),存在隱式數(shù)據(jù)轉(zhuǎn)換可能導(dǎo)致索引失效

    mysql> explain select * from user where username = 13\G;
    *************************** 1. row ***************************
               id: 1
      select_type: SIMPLE
            table: user
       partitions: NULL
             type: ALL
    possible_keys: ind_username_age_address
              key: NULL
          key_len: NULL
              ref: NULL
             rows: 4981012
         filtered: 10.00
            Extra: Using where
    1 row in set, 3 warnings (0.00 sec)
    
    ERROR: 
    No query specified
    
  3. 在索引列上進(jìn)行運(yùn)算操作

    mysql> explain select * from user where substring(username,2,3) = "abc"\G;
    *************************** 1. row ***************************
               id: 1
      select_type: SIMPLE
            table: user
       partitions: NULL
             type: ALL
    possible_keys: NULL
              key: NULL
          key_len: NULL
              ref: NULL
             rows: 4981012
         filtered: 100.00
            Extra: Using where
    1 row in set, 1 warning (0.00 sec)
    
    ERROR: 
    No query specified
    
  4. MySQL內(nèi)部?jī)?yōu)化(MySQL覺(jué)得全表掃描會(huì)更快)

    回表:簡(jiǎn)單來(lái)說(shuō)就是數(shù)據(jù)庫(kù)根據(jù)索引(非主鍵)找到了指定的記錄所在行后,還需要根據(jù)主鍵再次到數(shù)據(jù)塊里獲取數(shù)據(jù)。

常見(jiàn)SQL優(yōu)化

主鍵優(yōu)化

沒(méi)有特別的需要的話(huà)盡量使用一個(gè)與業(yè)務(wù)無(wú)關(guān)的自增字段作為主鍵。

原因:1.占用空間小;2.插入搜索快;3.檢索搜索快

優(yōu)化insert語(yǔ)句

1.如果需要同時(shí)對(duì)一張表插入很多數(shù)據(jù)時(shí),盡量使用多個(gè)值表的insert語(yǔ)句。

insert into user(username,age) values("Hello",3),("World",4);

2.在事務(wù)中進(jìn)行數(shù)據(jù)插入。

start transaction;
insert into user(username,age) values("Hello",3);
commit;

3.主鍵有序插入。

優(yōu)化order by語(yǔ)句

mysql> explain select age,username from user order by age limit 10\G;
*************************** 1. row ***************************
           id: 1
  select_type: SIMPLE
        table: user
   partitions: NULL
         type: index
possible_keys: NULL
          key: ind_username_age_address
      key_len: 1111
          ref: NULL
         rows: 4981014
     filtered: 100.00
        Extra: Using index; Using filesort
1 row in set, 1 warning (0.00 sec)

ERROR: 
No query specified

mysql> explain select age,username,company from user order by age limit 10\G;
*************************** 1. row ***************************
           id: 1
  select_type: SIMPLE
        table: user
   partitions: NULL
         type: ALL
possible_keys: NULL
          key: NULL
      key_len: NULL
          ref: NULL
         rows: 4981014
     filtered: 100.00
        Extra: Using filesort
1 row in set, 1 warning (0.00 sec)

ERROR: 
No query specified

索引覆蓋:所要查詢(xún)的列已包含在索引中,不需要再查詢(xún)主表。

Extra中為Using Index

第一條語(yǔ)句中的ageusername都有對(duì)應(yīng)的索引,而第二條語(yǔ)句中的company沒(méi)有對(duì)應(yīng)的索引。所以第一條語(yǔ)句做到了索引覆蓋,查詢(xún)效率更優(yōu)。

MySQL5.x分組后會(huì)進(jìn)行排序,而8則不會(huì)。要禁用排序可以用 order by null

優(yōu)化嵌套查詢(xún)

MySQL 4.1版本之后,開(kāi)始支持SQL的子查詢(xún)。這個(gè)技術(shù)可以使用SELECT語(yǔ)句來(lái)創(chuàng)建一個(gè)單列的查詢(xún)結(jié)果, 然后把這個(gè)結(jié)果作為過(guò)濾條件用在另一個(gè)查詢(xún)中。使用子查詢(xún)可以一次性的完成很多邏輯上需要多個(gè)步驟才能完成的SQL操作,同時(shí)也可以避免事務(wù)或者表鎖死,并且寫(xiě)起來(lái)也很容易。但是,有些情況下,子查詢(xún)是可以被更高效的連接(JOIN) 替代。

示例,查找有角色的所有的用戶(hù)信息(子查詢(xún)):

 select * from t_user where id in (select user_id from user_role);

優(yōu)化后(多表聯(lián)查):

select * from t_user u, user_role ur where u.id = ur.user_id;

優(yōu)化分頁(yè)

mysql> select count(*) from user;
+----------+
| count(*) |
+----------+
|  4999867 |
+----------+
1 row in set (3.03 sec)

mysql> select * from user limit 4000000,10;
+---------+------------+------+------------+------------+
| id      | username   | age  | address    | company    |
+---------+------------+------+------------+------------+
| 4000001 | 273b8cfa-8 |   14 | 8ac53fae-8 | 58682f84-1 |
| 4000002 | e15525b4-7 |   84 | 6c462c67-5 | 86d91e7c-3 |
| 4000003 | 96db55fb-f |   15 | d64c3ca8-4 | 83c58363-1 |
| 4000004 | ed3d258a-a |   76 | d7ef91ef-9 | 1179e728-3 |
| 4000005 | c03a8321-b |   15 | 176320ef-6 | 109928fe-8 |
| 4000006 | 5ca5eba0-2 |   97 | 06d920cd-7 | 5f37f70e-a |
| 4000007 | ed5500ac-4 |   17 | a49b060b-4 | b92af423-a |
| 4000008 | 659d36ca-d |   57 | 3ec9420a-7 | 048298c2-5 |
| 4000009 | 40e965ba-1 |   96 | 778e34c3-4 | de69750e-d |
| 4000010 | 3d9146e1-0 |    1 | acc5050f-b | 59a0e1a9-6 |
+---------+------------+------+------------+------------+
10 rows in set (2.41 sec)

分頁(yè)查詢(xún)很慢,可以進(jìn)行如下優(yōu)化(多表聯(lián)查)

mysql> select * from user u, (select id from user order by id limit 4000000,10) a where u.id = a.id;
+---------+------------+------+------------+------------+---------+
| id      | username   | age  | address    | company    | id      |
+---------+------------+------+------------+------------+---------+
| 4000001 | 273b8cfa-8 |   14 | 8ac53fae-8 | 58682f84-1 | 4000001 |
| 4000002 | e15525b4-7 |   84 | 6c462c67-5 | 86d91e7c-3 | 4000002 |
| 4000003 | 96db55fb-f |   15 | d64c3ca8-4 | 83c58363-1 | 4000003 |
| 4000004 | ed3d258a-a |   76 | d7ef91ef-9 | 1179e728-3 | 4000004 |
| 4000005 | c03a8321-b |   15 | 176320ef-6 | 109928fe-8 | 4000005 |
| 4000006 | 5ca5eba0-2 |   97 | 06d920cd-7 | 5f37f70e-a | 4000006 |
| 4000007 | ed5500ac-4 |   17 | a49b060b-4 | b92af423-a | 4000007 |
| 4000008 | 659d36ca-d |   57 | 3ec9420a-7 | 048298c2-5 | 4000008 |
| 4000009 | 40e965ba-1 |   96 | 778e34c3-4 | de69750e-d | 4000009 |
| 4000010 | 3d9146e1-0 |    1 | acc5050f-b | 59a0e1a9-6 | 4000010 |
+---------+------------+------+------------+------------+---------+
10 rows in set (2.24 sec)

也可以用如下方式

mysql> select * from user where id > 4000000 limit 10;
+---------+------------+------+------------+------------+
| id      | username   | age  | address    | company    |
+---------+------------+------+------------+------------+
| 4000001 | 273b8cfa-8 |   14 | 8ac53fae-8 | 58682f84-1 |
| 4000002 | e15525b4-7 |   84 | 6c462c67-5 | 86d91e7c-3 |
| 4000003 | 96db55fb-f |   15 | d64c3ca8-4 | 83c58363-1 |
| 4000004 | ed3d258a-a |   76 | d7ef91ef-9 | 1179e728-3 |
| 4000005 | c03a8321-b |   15 | 176320ef-6 | 109928fe-8 |
| 4000006 | 5ca5eba0-2 |   97 | 06d920cd-7 | 5f37f70e-a |
| 4000007 | ed5500ac-4 |   17 | a49b060b-4 | b92af423-a |
| 4000008 | 659d36ca-d |   57 | 3ec9420a-7 | 048298c2-5 |
| 4000009 | 40e965ba-1 |   96 | 778e34c3-4 | de69750e-d |
| 4000010 | 3d9146e1-0 |    1 | acc5050f-b | 59a0e1a9-6 |
+---------+------------+------+------------+------------+
10 rows in set (0.00 sec)

參考

  1. 高性能Mysql優(yōu)化實(shí)戰(zhàn)*
  2. SQL執(zhí)行計(jì)劃詳解explain
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