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mysql - 统计查询花费的时间

转载 作者:行者123 更新时间:2023-11-29 07:46:05 25 4
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我的数据库 mysql 中有 61K 行,我尝试进行计数,但查询需要 4 秒,我认为这太多了。

select count( distinct appeloffre0_.ID_APPEL_OFFRE) 
from ao.appel_offre appeloffre0_
inner join ao.lot lots1_ on appeloffre0_.ID_APPEL_OFFRE=lots1_.ID_APPEL_OFFRE
inner join ao.lieu_execution lieuexecut2_ on appeloffre0_.ID_APPEL_OFFRE=lieuexecut2_.appel_offre
inner join ao.acheteur acheteur3_ on appeloffre0_.ID_ACHETEUR=acheteur3_.ID_ACHETEUR
inner join ao.ao_activite aoactivite4_ on appeloffre0_.ID_APPEL_OFFRE=aoactivite4_.ID_APPEL_OFFRE

我的查询结果:

+----------------------------------------------+
| count( distinct appeloffre0_.ID_APPEL_OFFRE) |
+----------------------------------------------+
| 61100 |
+----------------------------------------------+
1 row in set (4.35 sec)

为什么在explain cmd表appeloffre0_中使用键appel_offre_ibfk_2,它是FK列ID_ACHETEUR上的索引?

+----+-------------+--------------+--------+----------------------------+--------------------+---------+--------------------------------+-------+--------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+--------------+--------+----------------------------+--------------------+---------+--------------------------------+-------+--------------------------+
| 1 | SIMPLE | appeloffre0_ | index | PRIMARY,appel_offre_ibfk_2 | appel_offre_ibfk_2 | 4 | NULL | 60031 | Using index |
| 1 | SIMPLE | acheteur3_ | eq_ref | PRIMARY | PRIMARY | 4 | ao.appeloffre0_.ID_ACHETEUR | 1 | Using index |
| 1 | SIMPLE | lieuexecut2_ | ref | fk_ao_lieuex | fk_ao_lieuex | 4 | ao.appeloffre0_.ID_APPEL_OFFRE | 1 | Using index |
| 1 | SIMPLE | aoactivite4_ | ref | ao_activites_ao_fk | ao_activites_ao_fk | 4 | ao.lieuexecut2_.appel_offre | 3 | Using where; Using index |
| 1 | SIMPLE | lots1_ | ref | FK_LOT_AO | FK_LOT_AO | 4 | ao.lieuexecut2_.appel_offre | 5 | Using where; Using index |
+----+-------------+--------------+--------+----------------------------+--------------------+---------+--------------------------------+-------+--------------------------+
5 rows in set (0.00 sec)

显示来自appel_offre的索引

+-------------+------------+--------------------+--------------+---------------------+-----------+-------------+----------+--------+------+------------+---------+---------------+
| Table | Non_unique | Key_name | Seq_in_index | Column_name | Collation | Cardinality | Sub_part | Packed | Null | Index_type | Comment | Index_comment |
+-------------+------------+--------------------+--------------+---------------------+-----------+-------------+----------+--------+------+------------+---------+---------------+
| appel_offre | 0 | PRIMARY | 1 | ID_APPEL_OFFRE | A | 60953 | NULL | NULL | | BTREE | | |
| appel_offre | 1 | appel_offre_ibfk_1 | 1 | ID_APPEL_OFFRE_MERE | A | 2 | NULL | NULL | YES | BTREE | | |
| appel_offre | 1 | appel_offre_ibfk_2 | 1 | ID_ACHETEUR | A | 2 | NULL | NULL | | BTREE | | |
| appel_offre | 1 | appel_offre_ibfk_3 | 1 | USER_SAISIE | A | 2 | NULL | NULL | YES | BTREE | | |
| appel_offre | 1 | appel_offre_ibfk_4 | 1 | USER_VALIDATION | A | 2 | NULL | NULL | YES | BTREE | | |
| appel_offre | 1 | ao_fk_3 | 1 | TYPE_MARCHE | A | 2 | NULL | NULL | YES | BTREE | | |
| appel_offre | 1 | ao_fk_5 | 1 | USER_CONTROLE | A | 2 | NULL | NULL | YES | BTREE | | |
+-------------+------------+--------------------+--------------+---------------------+-----------+-------------+----------+--------+------+------------+---------+---------------+
7 rows in set (0.03 sec)
  1. 如何使用索引来运行快速计数查询?

  2. 当我们有多个连接时如何使用索引?

  3. 当我们有多个连接和多个搜索时如何使用索引查询?

最佳答案

不要在计数中使用 distinct,而是尝试用 exists 条件替换 1 到多个内部联接。

例如,如果 lot.ID_APPEL_OFFRE 不唯一,则删除内部联接

inner join ao.lot lots1_ on appeloffre0_.ID_APPEL_OFFRE=lots1_.ID_APPEL_OFFRE 

并在 where 子句中添加一个存在条件

where exists (select 1 from ao.lot lots_1 where appeloffre0_.ID_APPEL_OFFRE=lots1_.ID_APPEL_OFFRE)

关于mysql - 统计查询花费的时间,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/27761649/

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