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本篇内容介绍了“MySQL为什么有时候会选错索引”的有关知识，在实际案例的操作过程中，不少人都会遇到这样的困境，接下来就让小编带领大家学习一下如何处理这些情况吧！希望大家仔细阅读，能够学有所成！
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今天在生产环境中看到一个慢SQL，是个核心业务表，数据1300万+
看一下表索引：
mysql>show index from `order` +-----------------+----------------------+--------------------+------------------------+-----------------------+---------------------+-----------------------+--------------------+------------------+----------------+----------------------+-------------------+-------------------------+ | Table | Non_unique | Key_name | Seq_in_index | Column_name | Collation | Cardinality | Sub_part | Packed | Null | Index_type | Comment | Index_comment | +-----------------+----------------------+--------------------+------------------------+-----------------------+---------------------+-----------------------+--------------------+------------------+----------------+----------------------+-------------------+-------------------------+ | order | 0 | PRIMARY | 1 | id | A | 10493505 | | | | BTREE | | | | order | 0 | uidx_order | 1 | order_seq | A | 10512924 | | | | BTREE | | | | order | 1 | idx_user | 1 | user_id | A | 1995181 | | | YES | BTREE | | | | order | 1 | idx_shop | 1 | shop_id | A | 53933 | | | YES | BTREE | | | | order | 1 | idx_out_channel | 1 | out_channel | A | 524 | | | YES | BTREE | | | | order | 1 | idx_out_channel | 2 | out_order_no | A | 10512924 | | | YES | BTREE | | | | order | 1 | idx_order_time | 1 | order_time | A | 9867734 | | | | BTREE | | | | order | 1 | idx_update_time | 1 | update_time | A | 8305698 | | | | BTREE | | | | order | 1 | idx_create_time | 1 | create_time | A | 9951390 | | | | BTREE | | | +-----------------+----------------------+--------------------+------------------------+-----------------------+---------------------+-----------------------+--------------------+------------------+----------------+----------------------+-------------------+-------------------------+ 返回行数：[9]，耗时：4 ms.
mysql>SELECT id,order_seq,user_id FROM `ORDER` WHERE delete_flag = 0 AND user_id = 'd4b0c318b28a46968718dddbaf4775c0' AND display_status = 2 ORDER BY order_time asc LIMIT 0,20 +--------------+---------------------+----------------------------------+ | id | order_seq | user_id | +--------------+---------------------+----------------------------------+ | 6068129 | 20161128183300861 | d4b0c318b28a46968718dddbaf4775c0 | | 6118611 | 20161206171509550 | d4b0c318b28a46968718dddbaf4775c0 | | 6885081 | 20170427104933189 | d4b0c318b28a46968718dddbaf4775c0 | | 7720299 | 2017101718252243 | d4b0c318b28a46968718dddbaf4775c0 | | 10319613 | 201905281103186182 | d4b0c318b28a46968718dddbaf4775c0 | | 505498 | 2019082116584284235 | d4b0c318b28a46968718dddbaf4775c0 | | 10840144 | 1119082315041792571 | d4b0c318b28a46968718dddbaf4775c0 | +--------------+---------------------+----------------------------------+ 返回行数：[7]，耗时：18534 ms.
耗时18s，这个查询速度肯定是不能接受的。
我们看一下执行计划：
mysql>EXPLAIN SELECT id,order_seq,user_id FROM `ORDER` WHERE delete_flag = 0 AND user_id = 'd4b0c318b28a46968718dddbaf4775c0' AND display_status = 2 ORDER BY order_time asc LIMIT 0,20 +--------------+-----------------------+-----------------+----------------------+----------------+-------------------------+----------------+-------------------+---------------+----------------+--------------------+-----------------+ | id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra | +--------------+-----------------------+-----------------+----------------------+----------------+-------------------------+----------------+-------------------+---------------+----------------+--------------------+-----------------+ | 1 | SIMPLE | ORDER | | index | idx_user | idx_order_time | 5 | | 2705 | 0.01 | Using where | +--------------+-----------------------+-----------------+----------------------+----------------+-------------------------+----------------+-------------------+---------------+----------------+--------------------+-----------------+
执行计划中看到，这个SQL走索引idx_order_time，根据经验判断，此索引效率很差。而扫描行数为2705，慢日志显示扫描行数为13,347,074，二者相差甚远，那么为什么会出现如此大的差异呢？
选择索引是优化器的工作。而优化器选择索引的目的，是找一个最优的执行方案，并用最小的代价去执行语句。在数据库里面，扫描行数是影响执行代价的因素之一。扫描的行数越少，意味着访问磁盘数据的次数越少，消耗的CPU资源越少。
当然，扫描行数并不是唯一的判断标准，优化器还会结合是否使用临时表，是否排序等因素进行综合判断。扫描行数是怎么判断的？
MySQL在真正执行SQL之前，并不能准确的判断满足这个条件的数据有多少行，只能按统计信息来估算行数。
索引的统计信息就是索引的“区分度”，一个索引不同的值越多，这个索引的区分度就越好，而一个索引上不同的值的个数，我们称之为“基数”，基数越大，索引的区分度越好。
若强制使用idx_user索引，看下执行情况：
mysql>SELECT id,order_seq,user_id FROM `ORDER` force index(idx_user) WHERE delete_flag = 0 AND user_id = 'd4b0c318b28a46968718dddbaf4775c0' AND display_status = 2 ORDER BY order_time asc LIMIT 0,20 +--------------+---------------------+----------------------------------+ | id | order_seq | user_id | +--------------+---------------------+----------------------------------+ | 6068129 | 20161128183300861 | d4b0c318b28a46968718dddbaf4775c0 | | 6118611 | 20161206171509550 | d4b0c318b28a46968718dddbaf4775c0 | | 6885081 | 20170427104933189 | d4b0c318b28a46968718dddbaf4775c0 | | 7720299 | 2017101718252243 | d4b0c318b28a46968718dddbaf4775c0 | | 10319613 | 201905281103186182 | d4b0c318b28a46968718dddbaf4775c0 | | 505498 | 2019082116584284235 | d4b0c318b28a46968718dddbaf4775c0 | | 10840144 | 1119082315041792571 | d4b0c318b28a46968718dddbaf4775c0 | +--------------+---------------------+----------------------------------+
查询速度还是很快的，看一下执行计划：
mysql>explain SELECT id,order_seq,user_id FROM `ORDER` force index(idx_user) WHERE delete_flag = 0 AND user_id = 'd4b0c318b28a46968718dddbaf4775c0' AND display_status = 2 ORDER BY order_time asc LIMIT 0,20 +--------------+-----------------------+-----------------+----------------------+----------------+-------------------------+---------------+-------------------+---------------+----------------+--------------------+----------------------------------------------------+ | id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra | +--------------+-----------------------+-----------------+----------------------+----------------+-------------------------+---------------+-------------------+---------------+----------------+--------------------+----------------------------------------------------+ | 1 | SIMPLE | ORDER | | ref | idx_user | idx_user | 163 | const | 77706 | 1 | Using index condition; Using where; Using filesort | +--------------+-----------------------+-----------------+----------------------+----------------+-------------------------+---------------+-------------------+---------------+----------------+--------------------+----------------------------------------------------+ 返回行数：[1]，耗时：4 ms.
如果换成数据行数少一些的user_id
mysql>EXPLAIN SELECT id,order_seq,user_id FROM `ORDER` WHERE delete_flag = 0 AND user_id = '1e41c833fc6f4f57b490a4627a4170dc' AND display_status = 2 ORDER BY order_time asc LIMIT 0,20 +--------------+-----------------------+-----------------+----------------------+----------------+-------------------------+---------------+-------------------+---------------+----------------+--------------------+----------------------------------------------------+ | id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra | +--------------+-----------------------+-----------------+----------------------+----------------+-------------------------+---------------+-------------------+---------------+----------------+--------------------+----------------------------------------------------+ | 1 | SIMPLE | ORDER | | ref | idx_user | idx_user | 163 | const | 13 | 1 | Using index condition; Using where; Using filesort | +--------------+-----------------------+-----------------+----------------------+----------------+-------------------------+---------------+-------------------+---------------+----------------+--------------------+----------------------------------------------------+ 返回行数：[1]，耗时：4 ms. mysql>SELECT id,order_seq,user_id FROM `ORDER` WHERE delete_flag = 0 AND user_id = '1e41c833fc6f4f57b490a4627a4170dc' AND display_status = 2 ORDER BY order_time asc LIMIT 0,20 +--------------+---------------------+----------------------------------+ | id | order_seq | user_id | +--------------+---------------------+----------------------------------+ | 10397123 | 2019092523044218361 | 1e41c833fc6f4f57b490a4627a4170dc | +--------------+---------------------+----------------------------------+ 返回行数：[1]，耗时：4 ms.
对比一下两个user_id对应的数据量：
返回行数：[1]，耗时：4 ms. mysql>select count(*) from order01 where user_id='1e41c833fc6f4f57b490a4627a4170dc' +--------------------+ | count(*) | +--------------------+ | 15 | +--------------------+ 返回行数：[1]，耗时：4 ms. mysql>select count(*) from order01 where user_id='d4b0c318b28a46968718dddbaf4775c0' +--------------------+ | count(*) | +--------------------+ | 38611 | +--------------------+ 返回行数：[1]，耗时：14 ms.
总结：在此业务场景中，MySQL优化器认为检索38000行数据然后进行排序要比检索15行数据排序代价大得多，所以选择了有序的索引idx_order_time，但未必是最快的执行计划。
但是，此处还有一个疑问，如果对于user_id：d4b0c318b28a46968718dddbaf4775c0，不使用limit分页，执行计划是什么样呢？
mysql>SELECT * FROM ORDER01 WHERE delete_flag = 0 AND user_id = 'd4b0c318b28a46968718dddbaf4775c0' AND display_status = 2 ORDER BY order_time desc +--------------+---------------------+----------------------+----------------------+----------------------------------+-----------------------+---------------------+----------------------------------+---------------------+----------------------+---------------------+-------------------------------+-------------------------+---------------------------+-----------------------------------+-----------------------+-------------------------+-------------------+-----------------------+------------------------+--------------------------+----------------------+---------------------+--------------------------+------------------------+------------------------+---------------------+------------------+-----------------------+-----------------------+-----------------------+ | id | order_seq | order_type | order_flag | user_id | user_mobile | user_nick | shop_id | shop_name | pay_status | pay_time | receiver_address_id | receiver_name | receiver_mobile | receiver_address | cancel_time | cancel_reason | channel | out_channel | out_order_no | out_store_name | order_time | over_time | display_status | order_status | sale_channel | sale_mode | remark | delete_flag | create_time | update_time | +--------------+---------------------+----------------------+----------------------+----------------------------------+-----------------------+---------------------+----------------------------------+---------------------+----------------------+---------------------+-------------------------------+-------------------------+---------------------------+-----------------------------------+-----------------------+-------------------------+-------------------+-----------------------+------------------------+--------------------------+----------------------+---------------------+--------------------------+------------------------+------------------------+---------------------+------------------+-----------------------+-----------------------+-----------------------+ | 11153421 | 201911091339555506 | 1 | 1 | d4b0c318b28a46968718dddbaf4775c0 | 13718903545 | 总部-客服-补单 | 29e541d6da9b4aae8957409ca03c6670 | 清悠 | 1 | 2019-11-09 13:40:10 | 2666265 | 总部-客服-补单 | 13718903545 | 东城区 王府井 王府井 总部补单 | | 0 | | 0 | 201911091339555506 | | 2019-11-09 13:39:55 | | 2 | 200 | 1 | 1 | | 0 | 2019-11-09 13:39:55 | 2019-11-09 13:40:10 | | 7720299 | 2017101718252243 | 1 | 1 | d4b0c318b28a46968718dddbaf4775c0 | 13718903545 | 总部-客服-补单 | ad41dba7bf5c4b69b03e0222878cb2b0 | 蝶舞 | 1 | 2017-10-17 18:25:26 | 2282099 | 总部-客服-补单 | 13718903545 | 2号线; 地铁7号线 华强北 总部补单 | | 0 | | 0 | 2017101718252243 | | 2017-10-17 18:25:22 | | 2 | 200 | 1 | 1 | | 0 | 2017-10-17 18:25:22 | 2017-10-17 18:25:22 | | 6885081 | 20170427104933189 | 1 | 1 | d4b0c318b28a46968718dddbaf4775c0 | 13718903545 | 总部-客服-补单 | c6092260f92643098f7f56e68560d8c0 | 木兰花 | 1 | 2017-04-27 10:49:39 | 2264946 | 总部-客服-补单 | 13718903545 | 天河北商圈 | | 0 | | 0 | 20170427104933189 | | 2017-04-27 10:49:33 | | 2 | 200 | 1 | 1 | | 0 | 2017-04-27 10:49:33 | 2017-04-27 10:49:33 | | 6118611 | 20161206171509550 | 1 | 1 | d4b0c318b28a46968718dddbaf4775c0 | 13718903545 | 总部-客服-补单 | 7a0cd4d60f52423fb757b0be1ab55be6 | 娟子 | 1 | 2016-12-06 17:15:12 | 1904075 | 总部-客服-补单 | 13718903545 | 广东省深圳市南山区深南大道 科技园 | | 0 | helijia | 0 | 20161206171509550 | | 2016-12-06 17:15:09 | | 2 | 200 | 1 | 1 | | 0 | 2016-12-06 17:15:09 | 2016-12-06 17:15:09 | | 6068129 | 20161128183300861 | 1 | 1 | d4b0c318b28a46968718dddbaf4775c0 | 13718903545 | 总部-客服-补单 | f6f4612493654695ac4c6bac6df67672 | 美天 | 1 | 2016-11-28 18:33:03 | 1544109 | 总部-客服-补单 | 13718903545 | 青羊区金河路口宽窄巷子 宽窄巷子 | | 0 | helijia | 0 | 20161128183300861 | | 2016-11-28 18:33:00 | | 2 | 200 | 1 | 1 | | 0 | 2016-11-28 18:33:00 | 2016-11-28 18:33:00 | +--------------+---------------------+----------------------+----------------------+----------------------------------+-----------------------+---------------------+----------------------------------+---------------------+----------------------+---------------------+-------------------------------+-------------------------+---------------------------+-----------------------------------+-----------------------+-------------------------+-------------------+-----------------------+------------------------+--------------------------+----------------------+---------------------+--------------------------+------------------------+------------------------+---------------------+------------------+-----------------------+-----------------------+-----------------------+ 返回行数：[5]，耗时：152 ms. mysql>explain SELECT * FROM ORDER01 WHERE delete_flag = 0 AND user_id = 'd4b0c318b28a46968718dddbaf4775c0' AND display_status = 2 ORDER BY order_time desc +--------------+-----------------------+-----------------+----------------------+----------------+-------------------------+---------------+-------------------+---------------+----------------+--------------------+----------------------------------------------------+ | id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra | +--------------+-----------------------+-----------------+----------------------+----------------+-------------------------+---------------+-------------------+---------------+----------------+--------------------+----------------------------------------------------+ | 1 | SIMPLE | ORDER01 | | ref | idx_user | idx_user | 163 | const | 75800 | 1 | Using index condition; Using where; Using filesort | +--------------+-----------------------+-----------------+----------------------+----------------+-------------------------+---------------+-------------------+---------------+----------------+--------------------+----------------------------------------------------+ 返回行数：[1]，耗时：4 ms.
查询速度很快，执行计划走了user_id字段的索引。为什么会出现这样的情况呢？
查阅了相关资料，对于order by limit这样的排序，当检索到的数据较多的时候，排序消耗是很大的，这个时候由于优化器选择了有序的idx_order_time而导致执行索引选择错误。
优化办法：
1、强制使用索引idx_user；
2、创建组合索引idx_uid_ordertime(user_id,order_time)
mysql>alter table `ORDER` add index idx_uid_ordertime(user_id,order_time) 执行成功，耗时：60334 ms. mysql>SELECT id,order_seq,user_id FROM `ORDER` WHERE delete_flag = 0 AND user_id = 'd4b0c318b28a46968718dddbaf4775c0' AND display_status = 2 ORDER BY order_time asc LIMIT 0,20 +--------------+---------------------+----------------------------------+ | id | order_seq | user_id | +--------------+---------------------+----------------------------------+ | 6068129 | 20161128183300861 | d4b0c318b28a46968718dddbaf4775c0 | | 6118611 | 20161206171509550 | d4b0c318b28a46968718dddbaf4775c0 | | 6885081 | 20170427104933189 | d4b0c318b28a46968718dddbaf4775c0 | | 7720299 | 2017101718252243 | d4b0c318b28a46968718dddbaf4775c0 | | 10319613 | 201905281103186182 | d4b0c318b28a46968718dddbaf4775c0 | | 505498 | 2019082116584284235 | d4b0c318b28a46968718dddbaf4775c0 | | 10840144 | 1119082315041792571 | d4b0c318b28a46968718dddbaf4775c0 | +--------------+---------------------+----------------------------------+ 返回行数：[7]，耗时：86 ms. mysql>explain SELECT id,order_seq,user_id FROM `ORDER` WHERE delete_flag = 0 AND user_id = 'd4b0c318b28a46968718dddbaf4775c0' AND display_status = 2 ORDER BY order_time asc LIMIT 0,20 +--------------+-----------------------+-----------------+----------------------+----------------+----------------------------+-------------------+-------------------+---------------+----------------+--------------------+------------------------------------+ | id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra | +--------------+-----------------------+-----------------+----------------------+----------------+----------------------------+-------------------+-------------------+---------------+----------------+--------------------+------------------------------------+ | 1 | SIMPLE | ORDER | | ref | idx_user,idx_uid_ordertime | idx_uid_ordertime | 163 | const | 72772 | 1 | Using index condition; Using where | +--------------+-----------------------+-----------------+----------------------+----------------+----------------------------+-------------------+-------------------+---------------+----------------+--------------------+------------------------------------+ 返回行数：[1]，耗时：4 ms.
“MySQL为什么有时候会选错索引”的内容就介绍到这里了，感谢大家的阅读。如果想了解更多行业相关的知识可以关注创新互联网站，小编将为大家输出更多高质量的实用文章！