mysql - 为日期列添加 mysql 范围分区

Question

下面是实际的分区表。

 CREATE TABLE `idea_partition` (
  `id` int(10) unsigned NOT NULL AUTO_INCREMENT,
  `mdn` varchar(45) NOT NULL,
  `keyword` varchar(45) NOT NULL,
  `circle` varchar(45) DEFAULT NULL,
  `status` varchar(45) NOT NULL,
  `mode` varchar(25) DEFAULT NULL,
  `action` varchar(45) DEFAULT NULL,
  `mobile_type` varchar(45) DEFAULT NULL,
  `date` datetime NOT NULL,
  `sunsign` varchar(45) DEFAULT NULL,
  `numerology` int(10) unsigned DEFAULT NULL,
  `unsubdate` datetime DEFAULT NULL,
  `user` varchar(15) DEFAULT NULL,
  `pass` varchar(15) DEFAULT NULL,
  `refid` varchar(64) DEFAULT NULL,
  `info` varchar(128) DEFAULT NULL,
  `precharge` varchar(1) DEFAULT NULL,
  `originator` varchar(15) DEFAULT NULL,
  `price` double(6,2) DEFAULT NULL,
  `renewal_count` int(11) DEFAULT '1',
  PRIMARY KEY (`id`,`date`),
  UNIQUE KEY `Index_on_mdn_keyword_status` (`mdn`,`keyword`,`status`,`date`),
  KEY `Index_2` (`mdn`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1
PARTITION BY RANGE( TO_DAYS(date) ) (
PARTITION rx201201 VALUES LESS THAN( TO_DAYS('2012-01-01 00:00:00') ), 
PARTITION rx201202 VALUES LESS THAN( TO_DAYS('2012-02-01 00:00:00') ), 
PARTITION rx201203 VALUES LESS THAN( TO_DAYS('2012-03-01 00:00:00') ), 
PARTITION rx201204 VALUES LESS THAN( TO_DAYS('2012-04-01 00:00:00') ), 
PARTITION rx201205 VALUES LESS THAN( TO_DAYS('2012-05-01 00:00:00') ), 
PARTITION rx201206 VALUES LESS THAN( TO_DAYS('2012-06-01 00:00:00') ), 
PARTITION rx201207 VALUES LESS THAN( TO_DAYS('2012-07-01 00:00:00') ), 
PARTITION rx201208 VALUES LESS THAN( TO_DAYS('2012-08-01 00:00:00') ), 
PARTITION rx201209 VALUES LESS THAN( TO_DAYS('2012-09-01 00:00:00') ), 
PARTITION rxMORES VALUES LESS THAN (MAXVALUE) );

是否可以通过日期列上的分区在现有范围上添加新分区。就像下面这样 -

ALTER TABLE idea_partition 分区 (TO_DAYS(date)) 分区 rx201301 值小于 (TO_DAYS('2013-01-01 00:00:00');

它给我带来了错误..!!但有没有办法实现呢？

Answer 1

您可以通过ALTER Table添加更多分区，例如

ALTER TABLE TableName ADD PARTITION (PARTITION PartitionName VALUES LESS THAN PartitionVlue);

但请记住一件事，您不能通过更改它来跨分区最大限制。

了解更多详情，请阅读 this .