+----------------------------+------------------------------------------------------------------------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+----------------------------+------------------------------------------------------------------------------+------+-----+---------+----------------+
| type | enum('Website','Facebook','Twitter','Linkedin','Youtube','SeatGeek','Yahoo') | NO | MUL | NULL | |
| name | varchar(100) | YES | MUL | NULL | |
| processing_interface_id | bigint(20) | YES | MUL | NULL | |
| processing_interface_table | varchar(100) | YES | MUL | NULL | |
| create_time | datetime | YES | MUL | NULL | |
| run_time | datetime | YES | MUL | NULL | |
| completed_time | datetime | YES | MUL | NULL | |
| reserved | int(10) | YES | MUL | NULL | |
| params | text | YES | | NULL | |
| params_md5 | varchar(100) | YES | MUL | NULL | |
| priority | int(10) | YES | MUL | NULL | |
| id | bigint(20) unsigned | NO | PRI | NULL | auto_increment |
| status | varchar(40) | NO | MUL | none | |
+----------------------------+------------------------------------------------------------------------------+------+-----+---------+----------------+
select * from remote_request use index ( processing_order ) where remote_request.status = 'none' and type = 'Facebook' and reserved = '0' order by priority desc limit 0, 40;
该表接收到极其大量的写入和读取。每个 remote_request 最终都是一个进程,根据请求的类型和请求的作用,它可以产生 0 到 5 个其他 remote_requests 之间的任何地方。
该表目前大约有 350 万条记录,当站点本身处于高负载状态并且我同时运行 50 多个或更多实例时,它会变得非常缓慢。(REST 请求是表格的目的,以防您不确定)。
随着桌子的增长,它变得越来越糟。我可以每天清除处理过的请求,但最终这并不能解决问题。
我需要的是这个查询总是有一个非常低的响应率。
这是表上的当前索引。
+----------------+------------+----------------------------------+--------------+----------------------------+-----------+-------------+----------+--------+------+------------+---------+---------------+
| Table | Non_unique | Key_name | Seq_in_index | Column_name | Collation | Cardinality | Sub_part | Packed | Null | Index_type | Comment | Index_comment |
+----------------+------------+----------------------------------+--------------+----------------------------+-----------+-------------+----------+--------+------+------------+---------+---------------+
| remote_request | 0 | PRIMARY | 1 | id | A | 2403351 | NULL | NULL | | BTREE | | |
| remote_request | 1 | type_index | 1 | type | A | 18 | NULL | NULL | | BTREE | | |
| remote_request | 1 | processing_interface_id_index | 1 | processing_interface_id | A | 18 | NULL | NULL | YES | BTREE | | |
| remote_request | 1 | processing_interface_table_index | 1 | processing_interface_table | A | 18 | NULL | NULL | YES | BTREE | | |
| remote_request | 1 | create_time_index | 1 | create_time | A | 160223 | NULL | NULL | YES | BTREE | | |
| remote_request | 1 | run_time_index | 1 | run_time | A | 343335 | NULL | NULL | YES | BTREE | | |
| remote_request | 1 | completed_time_index | 1 | completed_time | A | 267039 | NULL | NULL | YES | BTREE | | |
| remote_request | 1 | reserved_index | 1 | reserved | A | 18 | NULL | NULL | YES | BTREE | | |
| remote_request | 1 | params_md5_index | 1 | params_md5 | A | 2403351 | NULL | NULL | YES | BTREE | | |
| remote_request | 1 | priority_index | 1 | priority | A | 716 | NULL | NULL | YES | BTREE | | |
| remote_request | 1 | status_index | 1 | status | A | 18 | NULL | NULL | | BTREE | | |
| remote_request | 1 | name_index | 1 | name | A | 18 | NULL | NULL | YES | BTREE | | |
| remote_request | 1 | processing_order | 1 | priority | A | 200 | NULL | NULL | YES | BTREE | | |
| remote_request | 1 | processing_order | 2 | status | A | 200 | NULL | NULL | | BTREE | | |
| remote_request | 1 | processing_order | 3 | type | A | 200 | NULL | NULL | | BTREE | | |
| remote_request | 1 | processing_order | 4 | reserved | A | 200 | NULL | NULL | YES | BTREE | | |
+----------------+------------+----------------------------------+--------------+----------------------------+-----------+-------------+----------+--------+------+------------+---------+---------------+
知道我如何解决这个问题吗?是否不可能制作某种复杂的索引来自动对它们进行优先排序,然后取前 40 个与“Facebook”类型匹配的索引?它目前正在扫描超过 500k 行的表,然后才返回一个效率极低的结果。
我一直在修改的其他一些查询版本是:
select * from remote_request use index ( type_index,status_index,reserved_index,priority_index ) where remote_request.status = 'none' and type = 'Facebook' and reserv ed = '0' order by priority desc limit 0, 40
如果我们能够根据进入表的请求类型的数量将行扫描到 1000 行以下,那将是惊人的。
在此先感谢,对于大多数人来说,这可能是一个真正的胡桃夹子,除了最有经验的 mysql 专家吗?