表分区,是指根据一定规则,将数据库中的一张表分解成多个更小的,容易管理的部分。从逻辑上看,只有一张表,但是底层却是由多个物理分区组成。

表分区有什么好处:
a.分区表的数据可以分布在不同的物理设备上,从而高效地利用多个硬件设备。
b.和单个磁盘或者文件系统相比,可以存储更多数据
c.优化查询。在where语句中包含分区条件时,可以只扫描一个或多个分区表来提高查询效率;涉及sum和count语句时,也可以在多个分区上并行处理,最后汇总结果。
d.分区表更容易维护。例如:想批量删除大量数据可以清除整个分区。
e.可以使用分区表来避免某些特殊的瓶颈,例如InnoDB的单个索引的互斥访问,ext3问价你系统的inode锁竞争等。
   今天,我通过查阅相关资料与动手操作,学习了一下数据库表分区的技术。个人理解,其实就是当有大数据的数据表时,将数据表中的数据按照一定的规则,分门别类存储到规定的区域空间,
如果要对表进行“增删改查”的操作时,执行操作的区域不会是整张表,而是该表中的某个区域,实际就是“以空间换时间”,无疑会提高执行效率。

分区表的限制因素

a.一个表最多只能有个分区

b.MySQL5.1中,分区表达式必须是整数,或者返回整数的表达式。在MySQL5.5中提供了非整数表达式分区的支持。

c.如果分区字段中有主键或者唯一索引的列,那么多有主键列和唯一索引列都必须包含进来。即:分区字段要么不包含主键或者索引列,要么包含全部主键和索引列。

d.分区表中无法使用外键约束

e.MySQL的分区适用于一个表的所有数据和索引,不能只对表数据分区而不对索引分区,也不能只对索引分区而不对表分区,也不能只对表的一部分数据分区。


如何判断当前MySQL是否支持分区

命令:show variables like '%partition%'

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其中 Variable_name 的Value = 1,我测试过了,表示可以正常分区的。我数据库的版本是:

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MySQL支持的分区类型有:RANGE分区,LIST分区,HASH分区,KEY分区。其中RANGE,LIST,HASH分区等一般使用Int类型,KEY分区使用BLOB,TEXT类型等。

aaarticlea/png;base64,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" alt="" />
接下来创建数据表
aaarticlea/png;base64,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" alt="" />
紧接着:
aaarticlea/png;base64,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" alt="" />
以上的报错,说明partition by 不能够单独的使用(stand-alone).此处要注意!
然后采取第二种用法,如图所示:

aaarticlea/png;base64,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" alt="" />

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" alt="" />
    分区成功了,呵呵呵!

 有几点注意:
a. 对于分区s1,表示 1 <= id < 10;对于分区s2,表示 10<= id < 20;对于分区s3,表示 20<= id < 30;对于分区s4,表示 id >= 30,无上限
b. 如果将less than(10) 和less than (20)的顺序颠倒过来,那么将报错,如: VALUES LESS THAN value must be strictly increasing for each partition,
所以也用注意顺序问题
c. 一个表最大分区为:1024.(上面已经提到过),在有限的表分区内,最后加上 :partition xxx values less than maxvalue,是很有必要的。
d. 不管哪种分区类型,分区键必须是主键或唯一键,除非两者都没有,否者将会报如下错误。

如果是将注册日期作为分区键,则须要使用日期处理函数转换为整型,例如year(regDate),to_days(regDate),to_seconds(regDate),且只支持这三个函数。

或者使用RANGE COLUMNS分区,则不需要转换日期,如下所示

create table users_par(
id int not null,
usrName varchar(50) not null,
usrEmail varchar(50) not null,
age int not null,
regDate date not null
partition by range columns(regDate)(
partition p0 values less than('2005-05-05'),
partition p1 values less than('2009-09-09'),
partition p2 values less than('2015-05-05'),
);
RANGE分区特别适用于删除过期数据或者某范围数据,只需要alter table tbl_name truncate partition partition_name即可,
比delete语句效率要高很多,还有就是经常使用分区键的查询,可以提高查询性能,因为只需扫描某些分区就OK
Error Code: 1503. A PRIMARY KEY must include all columns in the table's partitioning function
 
 接下来,我们查看,我们建立的分区,相关的语法:EXPLAIN PARTITIONS SELECT * FROM `demo`
  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alt="" />
  当然,我们需要做测试,“实践是检验真理的唯一标准”嘛。
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 语法: explain partitions sql语句,如
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" alt="" />
 
 等等,也可以做其他的测试。
 接下来,尝试其他方式的表分区形式。
 List 表分区创建:
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" alt="" />
语法:desc partitions select * from table_name;
aaarticlea/png;base64,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" alt="" />
同时,语法:show create table table_name;
aaarticlea/png;base64,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" 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Hash表分区创建:

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Key分区创建与Hash分区类似。可以参考上面的。

子分区的创建:分区表中对每个分区再次分割,又成为复合分区。可参考:数据切分——Mysql分区表的建立及性能分析

地址:http://www.cnblogs.com/zmxmumu/p/4450857.html分区管理补充
RANGE和LIST分区在删除,添加,重新定义等分区管理上非常类似,如下所示。
删除分区(alter table tbl_name drop partition partition_name),分区被删除后,该分区的数据一起被删除。
mysql> alter table users_par drop partition p0;
Query OK, 0 rows affected (0.24 sec)
Records: 0 Duplicates: 0 Warnings: 0
添加分区(alter table tbl_name add partition)
mysql>  alter table users_par add partition (partition p0 values less than (20));
ERROR 1481 (HY000): MAXVALUE can only be used in last partition definition
--这里报错是因为添加分区必须在原分区的最大端添加,在为LIST分区添加分区时,新分区的值列表的值不能包含任意一个现有分区中值列表中的值,否则报错
mysql> alter table student add partition (partition p2 values in ('男'));
ERROR 1495 (HY000): Multiple definition of same constant in list partitioning
重新定义分区(alter table tbl_name reorganize partition partition_name into),可以将一个分区拆开成多个,反之可以合并多个成一个或多个。
mysql> alter table users_par reorganize partition p1 into (partition p0 values less than (20),partition p1 values less t
han(30));
Query OK, 1 row affected (0.05 sec)
Records: 1 Duplicates: 0 Warnings: 0
需要注意的是:RANGE和LIST分区在重新定义时,只能重新定义相邻的分区,不可以跳过分区,并且重新定义的分区区间必须和原分区区间一致,也不可以改变分区的类型。
HASH和KEY分区的管理
减少分区数量,使用coaleace关键字
mysql> alter table hash_par coalesce partition 2;
Query OK, 1 row affected (0.04 sec)
Records: 1 Duplicates: 0 Warnings: 0
增加分区数量
mysql> alter table hash_par add partition partitions 2;
Query OK, 1 row affected (0.04 sec)
Records: 1 Duplicates: 0 Warnings: 0
MySQL分区有利于查询优化,快速删除过期数据,提高查询吞吐量等。

补充:http://www.cnblogs.com/zmxmumu/p/4450857.html

 
 

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