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今天就跟大家聊聊有關MySQL中怎么實現表分區功能,可能很多人都不太了解,為了讓大家更加了解,小編給大家總結了以下內容,希望大家根據這篇文章可以有所收獲。
MySQL表分區功能基礎
創建分區表
CREATE TABLE `表名` (
`EQUIPMENTID` char(17) NOT NULL,
`ATTRIBUTEID` char(4) NOT NULL,
`VALUE` varchar(20) NOT NULL,
`COLLECTTIME` datetime NOT NULL
)
ENGINE=InnoDB (適用大部分引擎,可根據需要調整)
DEFAULT CHARSET=gbk(編碼可根據需要修改)
PARTITION BY RANGE (to_days(COLLECTTIME))
(PARTITION pmin VALUES LESS THAN (to_days('2010-01-01')),
PARTITION p201001 VALUES LESS THAN (to_days('2010-02-01')) ,
PARTITION p201002 VALUES LESS THAN (to_days('2010-03-01')) ,
PARTITION p201003 VALUES LESS THAN (to_days('2010-04-01')) ,
PARTITION p201004 VALUES LESS THAN (to_days('2010-05-01')) ,
PARTITION p201005 VALUES LESS THAN (to_days('2010-06-01')) ,
PARTITION p201006 VALUES LESS THAN (to_days('2010-07-01')) ,
PARTITION p201007 VALUES LESS THAN (to_days('2010-08-01')) ,
PARTITION p201008 VALUES LESS THAN (to_days('2010-09-01')) ,
PARTITION p201009 VALUES LESS THAN (to_days('2010-10-01')) ,
PARTITION p201010 VALUES LESS THAN (to_days('2010-11-01')),
PARTITION p201011 VALUES LESS THAN (to_days('2010-12-01')),
PARTITION p201012 VALUES LESS THAN (to_days('2011-01-01')),
PARTITION p201101 VALUES LESS THAN (to_days('2011-02-01')),
PARTITION p201102 VALUES LESS THAN (to_days('2011-03-01')),
PARTITION p201103 VALUES LESS THAN (to_days('2011-04-01')),
PARTITION p201104 VALUES LESS THAN (to_days('2011-05-01')),
PARTITION p201105 VALUES LESS THAN (to_days('2011-06-01')),
PARTITION p201106 VALUES LESS THAN (to_days('2011-07-01')),
PARTITION p201107 VALUES LESS THAN (to_days('2011-08-01')),
PARTITION p201108 VALUES LESS THAN (to_days('2011-09-01')),
PARTITION p201109 VALUES LESS THAN (to_days('2011-10-01')),
PARTITION p201110 VALUES LESS THAN (to_days('2011-11-01')),
PARTITION p201111 VALUES LESS THAN (to_days('2011-12-01')),
PARTITION p201112 VALUES LESS THAN (to_days('2012-01-01')),
PARTITION pmax VALUES LESS THAN MAXVALUE );
為現有表創建分區
alter table 表名
PARTITION BY RANGE (to_days(COLLECTTIME))
(PARTITION pmin VALUES LESS THAN (to_days('2010-01-01')),
PARTITION p201001 VALUES LESS THAN (to_days('2010-02-01')) ,
PARTITION p201002 VALUES LESS THAN (to_days('2010-03-01')) ,
PARTITION p201003 VALUES LESS THAN (to_days('2010-04-01')) ,
PARTITION p201004 VALUES LESS THAN (to_days('2010-05-01')) ,
PARTITION p201005 VALUES LESS THAN (to_days('2010-06-01')) ,
PARTITION p201006 VALUES LESS THAN (to_days('2010-07-01')) ,
PARTITION p201007 VALUES LESS THAN (to_days('2010-08-01')) ,
PARTITION p201008 VALUES LESS THAN (to_days('2010-09-01')) ,
PARTITION p201009 VALUES LESS THAN (to_days('2010-10-01')) ,
PARTITION p201010 VALUES LESS THAN (to_days('2010-11-01')),
PARTITION p201011 VALUES LESS THAN (to_days('2010-12-01')),
PARTITION p201012 VALUES LESS THAN (to_days('2011-01-01')),
PARTITION p201101 VALUES LESS THAN (to_days('2011-02-01')),
PARTITION p201102 VALUES LESS THAN (to_days('2011-03-01')),
PARTITION p201103 VALUES LESS THAN (to_days('2011-04-01')),
PARTITION p201104 VALUES LESS THAN (to_days('2011-05-01')),
PARTITION p201105 VALUES LESS THAN (to_days('2011-06-01')),
PARTITION p201106 VALUES LESS THAN (to_days('2011-07-01')),
PARTITION p201107 VALUES LESS THAN (to_days('2011-08-01')),
PARTITION p201108 VALUES LESS THAN (to_days('2011-09-01')),
PARTITION p201109 VALUES LESS THAN (to_days('2011-10-01')),
PARTITION p201110 VALUES LESS THAN (to_days('2011-11-01')),
PARTITION p201111 VALUES LESS THAN (to_days('2011-12-01')),
PARTITION p201112 VALUES LESS THAN (to_days('2012-01-01')),
PARTITION pmax VALUES LESS THAN MAXVALUE );
如果表中已有數據,分區時會自動進行分區存儲,不必擔心數據丟失或者手動分類數據.
刪除表中的指定分區
ALTER TABLE 表名 DROP PARTITION 分區名;
追加表分區
ALTER TABLE 表名 DROP PARTITION pmax;
ALTER TABLE 表名
ADD PARTITION (
PARTITION p201201 VALUES LESS THAN (to_days('2012-2-1')),
PARTITION pmax VALUES LESS THAN MAXVALUE);
查看標分區信息
SELECT
partition_name part,
partition_expression expr,
partition_description descr,
table_rows
FROM
INFORMATION_SCHEMA.partitions
WHERE
TABLE_SCHEMA = schema()
AND TABLE_NAME='表名';
查看查詢語句涉及分區信息
explain partitions
select … from 表名 where …;
該操作只查看查詢語句相關的分區信息,不會返回查詢結果.
看完上述內容,你們對MySQL中怎么實現表分區功能有進一步的了解嗎?如果還想了解更多知識或者相關內容,請關注億速云行業資訊頻道,感謝大家的支持。
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