有没有办法进一步优化它，或者我应该满足于计算 1100 万行需要 9 秒？

devuser@xcmst > mysql --user=user --password=pass -D marctoxctransformation -e "desc record_updates"                                                                    
+--------------+----------+------+-----+---------+-------+
| Field        | Type     | Null | Key | Default | Extra |
+--------------+----------+------+-----+---------+-------+
| record_id    | int(11)  | YES  | MUL | NULL    |       | 
| date_updated | datetime | YES  | MUL | NULL    |       | 
+--------------+----------+------+-----+---------+-------+
devuser@xcmst > date; mysql --user=user --password=pass -D marctoxctransformation -e "select count(*) from record_updates where date_updated > '2009-10-11 15:33:22' "; date                         
Thu Dec  9 11:13:17 EST 2010
+----------+
| count(*) |
+----------+
| 11772117 | 
+----------+
Thu Dec  9 11:13:26 EST 2010
devuser@xcmst > mysql --user=user --password=pass -D marctoxctransformation -e "explain select count(*) from record_updates where date_updated > '2009-10-11 15:33:22' "      
+----+-------------+----------------+-------+--------------------------------------------------------+--------------------------------------------------------+---------+------+----------+--------------------------+
| id | select_type | table          | type  | possible_keys                                          | key                                                    | key_len | ref  | rows     | Extra                    |
+----+-------------+----------------+-------+--------------------------------------------------------+--------------------------------------------------------+---------+------+----------+--------------------------+
|  1 | SIMPLE      | record_updates | index | idx_marctoxctransformation_record_updates_date_updated | idx_marctoxctransformation_record_updates_date_updated | 9       | NULL | 11772117 | Using where; Using index | 
+----+-------------+----------------+-------+--------------------------------------------------------+--------------------------------------------------------+---------+------+----------+--------------------------+
devuser@xcmst > mysql --user=user --password=pass -D marctoxctransformation -e "show keys from record_updates"
+----------------+------------+--------------------------------------------------------+--------------+--------------+-----------+-------------+----------+--------+------+------------+---------+
| Table          | Non_unique | Key_name                                               | Seq_in_index | Column_name  | Collation | Cardinality | Sub_part | Packed | Null | Index_type | Comment |
+----------------+------------+--------------------------------------------------------+--------------+--------------+-----------+-------------+----------+--------+------+------------+---------+
| record_updates |          1 | idx_marctoxctransformation_record_updates_date_updated |            1 | date_updated | A         |        2416 |     NULL | NULL   | YES  | BTREE      |         | 
| record_updates |          1 | idx_marctoxctransformation_record_updates_record_id    |            1 | record_id    | A         |    11772117 |     NULL | NULL   | YES  | BTREE      |         | 
+----------------+------------+--------------------------------------------------------+--------------+--------------+-----------+-------------+----------+--------+------+------------+---------+

最佳答案

如果 mysql 必须对 1100 万行进行计数，那么确实没有太多方法可以加快简单计数的速度。至少不要让它达到低于 1 秒的速度。您应该重新考虑如何计数。一些想法:

1. 向表中添加一个自动递增字段。看起来您不会从表中删除，因此您可以使用简单的数学运算来查找记录数。选择初始较早日期的最小自动递增数和较晚日期的最大值，然后从另一个中减去一个以获得记录数。例如:

   SELECT min(incr_id) min_id FROM record_updates WHERE date_updated BETWEEN '2009-10-11 15:33:22' AND '2009-10-12 23:59:59';
   SELECT max(incr_id) max_id FROM record_updates WHERE date_updated > DATE_SUB(NOW(), INTERVAL 2 DAY);`
   

2. 创建另一个表来汇总每天的记录数。然后您可以查询该表以获取总记录。每年只有 365 条记录。如果您需要获得更细粒度的时间，请查询全天汇总表，查询当前表以获取开始和结束日期的记录数。然后将它们全部加在一起。

如果数据没有变化(看起来不像)，那么汇总表将很容易维护和更新。他们将大大加快速度。

关于sql - 优化mysql计数查询，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/4400451/