6000万个条目，请从特定月份选择条目如何优化数据库？

问题描述

利用innodb集群主键索引。

http://dev.mysql.com/doc/refman/5.0/en/innodb-index- types.html

这将是非常出色的：

create table datasources
(
year_id smallint unsigned not null,
month_id tinyint unsigned not null,
datasource_id tinyint unsigned not null,
id int unsigned not null, -- needed for uniqueness
data int unsigned not null default 0,
primary key (year_id, month_id, datasource_id, id)
)
engine=innodb;

select * from datasources where year_id = 2011 and month_id between 1 and 3;

select * from datasources where year_id = 2011 and month_id = 4 and datasouce_id = 100;

-- etc..

忘了我正在运行第一个包含3个月数据的测试脚本。这是一个月的结果：0.34和0.69秒。

select d.* from datasources d where d.year_id = 2010 and d.month_id = 3 and datasource_id = 100 order by d.id desc limit 10;
+---------+----------+---------------+---------+-------+
| year_id | month_id | datasource_id | id      | data  |
+---------+----------+---------------+---------+-------+
|    2010 |        3 |           100 | 3290330 | 38434 |
|    2010 |        3 |           100 | 3290329 |  9988 |
|    2010 |        3 |           100 | 3290328 | 25680 |
|    2010 |        3 |           100 | 3290327 | 17627 |
|    2010 |        3 |           100 | 3290326 | 64508 |
|    2010 |        3 |           100 | 3290325 | 14257 |
|    2010 |        3 |           100 | 3290324 | 45950 |
|    2010 |        3 |           100 | 3290323 | 49986 |
|    2010 |        3 |           100 | 3290322 |  2459 |
|    2010 |        3 |           100 | 3290321 | 52971 |
+---------+----------+---------------+---------+-------+
10 rows in set (0.34 sec)

select d.* from datasources d where d.year_id = 2010 and d.month_id = 3 order by d.id desc limit 10;
+---------+----------+---------------+---------+-------+
| year_id | month_id | datasource_id | id      | data  |
+---------+----------+---------------+---------+-------+
|    2010 |        3 |           116 | 3450346 | 42455 |
|    2010 |        3 |           116 | 3450345 | 64039 |
|    2010 |        3 |           116 | 3450344 | 27046 |
|    2010 |        3 |           116 | 3450343 | 23730 |
|    2010 |        3 |           116 | 3450342 | 52380 |
|    2010 |        3 |           116 | 3450341 | 35700 |
|    2010 |        3 |           116 | 3450340 | 20195 |
|    2010 |        3 |           116 | 3450339 | 21758 |
|    2010 |        3 |           116 | 3450338 | 51378 |
|    2010 |        3 |           116 | 3450337 | 34687 |
+---------+----------+---------------+---------+-------+
10 rows in set (0.69 sec)

决定使用大约。3年内分布了6000万行。每个查询都是冷运行的，即每个运行单独运行，然后重新启动mysql，清除所有缓冲区且没有查询缓存。

完整的测试脚本可以在这里找到：http ://pastie.org/1723506或以下…

如您所见，即使在我不起眼的桌面上，它也是一个非常出色的架构：)

select count(*) from datasources;
+----------+
| count(*) |
+----------+
| 60306030 |
+----------+

select count(*) from datasources where year_id = 2010;
+----------+
| count(*) |
+----------+
| 16691669 |
+----------+

select
 year_id, month_id, count(*) as counter
from
 datasources
where 
 year_id = 2010
group by
 year_id, month_id;
+---------+----------+---------+
| year_id | month_id | counter |
+---------+----------+---------+
|    2010 |        1 | 1080108 |
|    2010 |        2 | 1210121 |
|    2010 |        3 | 1160116 |
|    2010 |        4 | 1300130 |
|    2010 |        5 | 1860186 |
|    2010 |        6 | 1220122 |
|    2010 |        7 | 1250125 |
|    2010 |        8 | 1460146 |
|    2010 |        9 | 1730173 |
|    2010 |       10 | 1490149 |
|    2010 |       11 | 1570157 |
|    2010 |       12 | 1360136 |
+---------+----------+---------+
12 rows in set (5.92 sec)


select 
 count(*) as counter
from 
 datasources d
where 
 d.year_id = 2010 and d.month_id between 1 and 3 and datasource_id = 100;

+---------+
| counter |
+---------+
|   30003 |
+---------+
1 row in set (1.04 sec)

explain
select 
 d.* 
from 
 datasources d
where 
 d.year_id = 2010 and d.month_id between 1 and 3 and datasource_id = 100
order by
 d.id desc limit 10;

+----+-------------+-------+-------+---------------+---------+---------+------+---------+-----------------------------+
| id | select_type | table | type  | possible_keys | key     | key_len | ref  |rows    | Extra                       |
+----+-------------+-------+-------+---------------+---------+---------+------+---------+-----------------------------+
|  1 | SIMPLE      | d     | range | PRIMARY       | PRIMARY | 4       | NULL |4451372 | Using where; Using filesort |
+----+-------------+-------+-------+---------------+---------+---------+------+---------+-----------------------------+
1 row in set (0.00 sec)


select 
 d.* 
from 
 datasources d
where 
 d.year_id = 2010 and d.month_id between 1 and 3 and datasource_id = 100
order by
 d.id desc limit 10;

+---------+----------+---------------+---------+-------+
| year_id | month_id | datasource_id | id      | data  |
+---------+----------+---------------+---------+-------+
|    2010 |        3 |           100 | 3290330 | 38434 |
|    2010 |        3 |           100 | 3290329 |  9988 |
|    2010 |        3 |           100 | 3290328 | 25680 |
|    2010 |        3 |           100 | 3290327 | 17627 |
|    2010 |        3 |           100 | 3290326 | 64508 |
|    2010 |        3 |           100 | 3290325 | 14257 |
|    2010 |        3 |           100 | 3290324 | 45950 |
|    2010 |        3 |           100 | 3290323 | 49986 |
|    2010 |        3 |           100 | 3290322 |  2459 |
|    2010 |        3 |           100 | 3290321 | 52971 |
+---------+----------+---------------+---------+-------+
10 rows in set (0.98 sec)


select 
 count(*) as counter
from 
 datasources d
where 
 d.year_id = 2010 and d.month_id between 1 and 3;

+---------+
| counter |
+---------+
| 3450345 |
+---------+
1 row in set (1.64 sec)

explain
select 
 d.* 
from 
 datasources d
where 
 d.year_id = 2010 and d.month_id between 1 and 3
order by
 d.id desc limit 10;

+----+-------------+-------+-------+---------------+---------+---------+------+---------+-----------------------------+
| id | select_type | table | type  | possible_keys | key     | key_len | ref  |rows    | Extra                       |
+----+-------------+-------+-------+---------------+---------+---------+------+---------+-----------------------------+
|  1 | SIMPLE      | d     | range | PRIMARY       | PRIMARY | 3       | NULL |6566916 | Using where; Using filesort |
+----+-------------+-------+-------+---------------+---------+---------+------+---------+-----------------------------+
1 row in set (0.00 sec)


select 
 d.* 
from 
 datasources d
where 
 d.year_id = 2010 and d.month_id between 1 and 3
order by
 d.id desc limit 10;

+---------+----------+---------------+---------+-------+
| year_id | month_id | datasource_id | id      | data  |
+---------+----------+---------------+---------+-------+
|    2010 |        3 |           116 | 3450346 | 42455 |
|    2010 |        3 |           116 | 3450345 | 64039 |
|    2010 |        3 |           116 | 3450344 | 27046 |
|    2010 |        3 |           116 | 3450343 | 23730 |
|    2010 |        3 |           116 | 3450342 | 52380 |
|    2010 |        3 |           116 | 3450341 | 35700 |
|    2010 |        3 |           116 | 3450340 | 20195 |
|    2010 |        3 |           116 | 3450339 | 21758 |
|    2010 |        3 |           116 | 3450338 | 51378 |
|    2010 |        3 |           116 | 3450337 | 34687 |
+---------+----------+---------------+---------+-------+
10 rows in set (1.98 sec)

希望这可以帮助：）

解决方法

我有一个拥有6000万个条目的数据库。

每个条目包含：

ID
数据源ID
一些数据
约会时间

我需要从特定月份中选择条目。每个月约有200万个条目。
```
 select *
```
from Entries
where time between “2010-04-01 00:00:00” and “2010-05-01 00:00:00”

（查询大约需要1.5分钟）

我还想从给定的DataSourceID中选择特定月份的数据。（大约需要20秒）

大约有50-100个不同的DataSourceID。

有没有办法使它更快？我有什么选择？如何优化此数据库/查询？

编辑： 有大约。每秒钟60-100次插入！

6000万个条目，请从特定月份选择条目如何优化数据库？

问题描述

解决方法

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