【MySQL】sql优化小调优一例

前言:今天在生产环境抓到慢SQL一例,单独拿出来执行速度非常快,我们拿出该SQL分析一下。

原始SQL:

select  distinct metadatalogid,opertime from xwcmmetadatalog where metadataid='4395597' order by opertime desc;

执行计划:

MariaDB [test]> explain select  distinct metadatalogid,opertime from xwcmmetadatalog where metadataid='4395597' order by opertime desc;
+------+-------------+-----------------+------+-------------------------------+-------------------------------+---------+-------+------+-----------------------------+
| id   | select_type | table           | type | possible_keys                 | key                           | key_len | ref   | rows | Extra                       |
+------+-------------+-----------------+------+-------------------------------+-------------------------------+---------+-------+------+-----------------------------+
|    1 | SIMPLE      | xwcmmetadatalog | ref  | IX_xwcmmetadatalog_METADATAID | IX_xwcmmetadatalog_METADATAID | 5       | const |    1 | Using where; Using filesort |
+------+-------------+-----------------+------+-------------------------------+-------------------------------+---------+-------+------+-----------------------------+
1 row in set (0.00 sec)

我们可以看到该执行计划其实问题也不是很大,唯一需要注意的就是用到了文件排序,当MySQL SERVER io比较吃紧的时候大量执行该SQL就会有问题了,所以我们优化思路就是消除这个文件排序即可。
查看索引

MariaDB [test]> show index from xwcmmetadatalog;
+-----------------+------------+----------------------------------+--------------+---------------+-----------+-------------+----------+--------+------+------------+---------+---------------+
| Table           | Non_unique | Key_name                         | Seq_in_index | Column_name   | Collation | Cardinality | Sub_part | Packed | Null | Index_type | Comment | Index_comment |
+-----------------+------------+----------------------------------+--------------+---------------+-----------+-------------+----------+--------+------+------------+---------+---------------+
| xwcmmetadatalog |          0 | PRIMARY                          |            1 | METADATALOGID | A         |           0 |     NULL | NULL   |      | BTREE      |         |               |
| xwcmmetadatalog |          1 | IX_xwcmmetadatalog_SRCMETADATAID |            1 | SRCMETADATAID | A         |           0 |     NULL | NULL   | YES  | BTREE      |         |               |
| xwcmmetadatalog |          1 | IX_xwcmmetadatalog_METADATAID    |            1 | METADATAID    | A         |           0 |     NULL | NULL   | YES  | BTREE      |         |               |
+-----------------+------------+----------------------------------+--------------+---------------+-----------+-------------+----------+--------+------+------------+---------+---------------+
3 rows in set (0.00 sec)

我们看到执行计划用到的索引只包含METADATAID列,而我们的sql筛选条件不仅包含metadataid=’4395597′ 还用到了opertime来排序,所以我们针对这两个字段建立索引即可。

MariaDB [test]> create index idx_medataid_opertime on xwcmmetadatalog(metadataid,opertime);
Query OK, 0 rows affected (0.01 sec)
Records: 0  Duplicates: 0  Warnings: 0

再次查看执行计划:

MariaDB [test]> explain select  distinct metadatalogid,opertime from xwcmmetadatalog where metadataid='4395597' order by opertime desc;
+------+-------------+-----------------+------+-----------------------------------------------------+-----------------------+---------+-------+------+--------------------------+
| id   | select_type | table           | type | possible_keys                                       | key                   | key_len | ref   | rows | Extra                    |
+------+-------------+-----------------+------+-----------------------------------------------------+-----------------------+---------+-------+------+--------------------------+
|    1 | SIMPLE      | xwcmmetadatalog | ref  | IX_xwcmmetadatalog_METADATAID,idx_medataid_opertime | idx_medataid_opertime | 5       | const |    1 | Using where; Using index |
+------+-------------+-----------------+------+-----------------------------------------------------+-----------------------+---------+-------+------+--------------------------+
1 row in set (0.00 sec)

完美

    原文作者:拾荒者charley
    原文地址: https://www.jianshu.com/p/b2f8990d45b0
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