mysql 5.6 分区与不分区的区别

mysql> CREATE  TABLE t1  ( id INT, date DATETIME DEFAULT CURRENT_TIMESTAMP) ENGINE=Innodb;

Query OK,  rows affected

mysql> insert into t1 values(, '2013-05-23 12:59:39');

Query OK,  row affected

mysql> insert into t1 values(, '2013-05-23 12:59:43');

insert into t1 values(, '2013-05-23 12:59:44');

insert into t1 values(, '2013-07-04 19:35:45');

insert into t1 values(, '2014-04-04 19:35:45' );

insert into t1 values(, '2014-05-04 19:35:45' );

insert into t1 values(,  '2015-05-04 19:35:45');

insert into t1 values(, '2015-05-05 19:35:45');

insert into t1 values(, '2017-05-05 19:35:45');

insert into t1 values(,'2018-05-05 19:35:45' );

Query OK,  row affected

Query OK,  row affected

Query OK,  row affected

Query OK,  row affected

Query OK,  row affected

Query OK,  row affected

Query OK,  row affected

Query OK,  row affected

Query OK,  row affected

mysql> select * from t1;

+----+---------------------+

| id | date                |

+----+---------------------+

|   | -- :: |

|   | -- :: |

|   | -- :: |

|   | -- :: |

|   | -- :: |

|   | -- :: |

|   | -- :: |

|   | -- :: |

|   | -- :: |

|  | -- :: |

+----+---------------------+

 rows in set

mysql> explain select * from t1;

+----+-------------+-------+------+---------------+------+---------+------+------+-------+

| id | select_type | table | type | possible_keys | key  | key_len | ref  | rows | Extra |

+----+-------------+-------+------+---------------+------+---------+------+------+-------+

|   | SIMPLE      | t1    | ALL  | NULL          | NULL | NULL    | NULL |    | NULL  |

+----+-------------+-------+------+---------------+------+---------+------+------+-------+

 row in set

mysql> EXPLAIN SELECT * FROM t1 WHERE date >= '2014-03-05 19:00:12' AND date <= '2016-03-05 18:45:12';

+----+-------------+-------+------+---------------+------+---------+------+------+-------------+

| id | select_type | table | type | possible_keys | key  | key_len | ref  | rows | Extra       |

+----+-------------+-------+------+---------------+------+---------+------+------+-------------+

|   | SIMPLE      | t1    | ALL  | NULL          | NULL | NULL    | NULL |    | Using where |

+----+-------------+-------+------+---------------+------+---------+------+------+-------------+

 row in set

mysql>  CREATE  TABLE t2  ( id INT, date DATETIME DEFAULT CURRENT_TIMESTAMP) ENGINE=Innodb

        PARTITION BY RANGE (YEAR(date)) (

        PARTITION p2013 VALUES LESS THAN(),

        PARTITION p2014 VALUES LESS THAN(),

        PARTITION p2015 VALUES LESS THAN(),

        PARTITION p2016 VALUES LESS THAN(),

        PARTITION p2017 VALUES LESS THAN(),

        PARTITION p2099 VALUES LESS THAN MAXVALUE

     ) ;

Query OK,  rows affected

mysql> show create table t2;

+-------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Table | Create Table                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      |

+-------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| t2    | CREATE TABLE `t2` (

  `id` int() DEFAULT NULL,

  `date` datetime DEFAULT CURRENT_TIMESTAMP

) ENGINE=InnoDB DEFAULT CHARSET=utf8

/*!50100 PARTITION BY RANGE (YEAR(date))

(PARTITION p2013 VALUES LESS THAN (2014) ENGINE = InnoDB,

 PARTITION p2014 VALUES LESS THAN (2015) ENGINE = InnoDB,

 PARTITION p2015 VALUES LESS THAN (2016) ENGINE = InnoDB,

 PARTITION p2016 VALUES LESS THAN (2017) ENGINE = InnoDB,

 PARTITION p2017 VALUES LESS THAN (2018) ENGINE = InnoDB,

 PARTITION p2099 VALUES LESS THAN MAXVALUE ENGINE = InnoDB) */ |

+-------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

 row in set

mysql>  SELECT table_name,partition_name,table_rows FROM information_schema.PARTITIONS  WHERE  table_schema=database() AND table_name='t2';

+------------+----------------+------------+

| table_name | partition_name | table_rows |

+------------+----------------+------------+

| t2         | p2013          |           |

| t2         | p2014          |           |

| t2         | p2015          |           |

| t2         | p2016          |           |

| t2         | p2017          |           |

| t2         | p2099          |           |

+------------+----------------+------------+

 rows in set

mysql>  EXPLAIN SELECT * FROM t2;

+----+-------------+-------+------+---------------+------+---------+------+------+-------+

| id | select_type | table | type | possible_keys | key  | key_len | ref  | rows | Extra |

+----+-------------+-------+------+---------------+------+---------+------+------+-------+

|   | SIMPLE      | t2    | ALL  | NULL          | NULL | NULL    | NULL |     | NULL  |

+----+-------------+-------+------+---------------+------+---------+------+------+-------+

 row in set

mysql> insert into t2 select * from t1;

Query OK,  rows affected

Records:   Duplicates:   Warnings: 

mysql> explain select *  from t2;

+----+-------------+-------+------+---------------+------+---------+------+------+-------+

| id | select_type | table | type | possible_keys | key  | key_len | ref  | rows | Extra |

+----+-------------+-------+------+---------------+------+---------+------+------+-------+

|   | SIMPLE      | t2    | ALL  | NULL          | NULL | NULL    | NULL |    | NULL  |

+----+-------------+-------+------+---------------+------+---------+------+------+-------+

 row in set

mysql> select *  from t2;

+----+---------------------+

| id | date                |

+----+---------------------+

|   | -- :: |

|   | -- :: |

|   | -- :: |

|   | -- :: |

|   | -- :: |

|   | -- :: |

|   | -- :: |

|   | -- :: |

|   | -- :: |

|  | -- :: |

+----+---------------------+

 rows in set

mysql>  SELECT table_name,partition_name,table_rows FROM information_schema.PARTITIONS  WHERE  table_schema=database() AND table_name='t2';

+------------+----------------+------------+

| table_name | partition_name | table_rows |

+------------+----------------+------------+

| t2         | p2013          |           |

| t2         | p2014          |           |

| t2         | p2015          |           |

| t2         | p2016          |           |

| t2         | p2017          |           |

| t2         | p2099          |           |

+------------+----------------+------------+

 rows in set

mysql>  EXPLAIN PARTITIONS SELECT * FROM t2 WHERE date >= '2014-03-05 19:00:12' AND date <= '2016-03-05 18:45:12';

+----+-------------+-------+-------------------+------+---------------+------+---------+------+------+-------------+

| id | select_type | table | partitions        | type | possible_keys | key  | key_len | ref  | rows | Extra       |

+----+-------------+-------+-------------------+------+---------------+------+---------+------+------+-------------+

|   | SIMPLE      | t2    | p2014,p2015,p2016 | ALL  | NULL          | NULL | NULL    | NULL |     | Using where |

+----+-------------+-------+-------------------+------+---------------+------+---------+------+------+-------------+

 row in set

mysql>

SELECT *

FROM tb_common_biz

PARTITION (p201707);

如果可以通过代码确定使用的PARTITION，可以这样查：

SELECT * FROM B PARTITION(p1)

数据插入完成后，要验证是否对应id的数据保存在了对应的分区，可以使用查询分区的命令，如下：

SELECT partition_name,partition_expression,partition_description,table_rows

FROM information_schema.PARTITIONS

WHERE table_schema = SCHEMA() AND table_name='tb_common_biz'

http://blog.csdn.net/tuzongxun/article/details/53288571

DROP TABLE IF EXISTS `tb_common_biz`;

CREATE TABLE `tb_common_biz` (

`data_id` bigint(20) NOT NULL,

`data_category` varchar(32) DEFAULT NULL,

`service_type` varchar(32) DEFAULT NULL,

`group_id` varchar(32) DEFAULT NULL,

`group_name` varchar(64) DEFAULT NULL,

`create_person_id` varchar(16) DEFAULT NULL,

`create_person_name` varchar(64) DEFAULT NULL,

`create_person_telno` varchar(32) DEFAULT NULL,

`create_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,

`update_person` varchar(16) DEFAULT NULL,

`update_time` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00',

`result` varchar(256) DEFAULT NULL,

`result_ext` varchar(256) DEFAULT NULL,

`service_owner` varchar(64) DEFAULT NULL,

`process_instance_id` varchar(64) DEFAULT NULL,

`task_id` varchar(64) DEFAULT NULL,

`ext_activiti_info` varchar(256) DEFAULT NULL,

`status` varchar(256) DEFAULT NULL,

`ext_status` varchar(256) DEFAULT NULL,

`data1` varchar(1024) DEFAULT NULL,

`data2` varchar(1024) DEFAULT NULL,

`data3` varchar(1024) DEFAULT NULL,

`data4` varchar(1024) DEFAULT NULL,

`data5` varchar(1024) DEFAULT NULL,

`data6` varchar(1024) DEFAULT NULL,

`data7` varchar(1024) DEFAULT NULL,

`data8` varchar(1024) DEFAULT NULL,

`data9` varchar(1024) DEFAULT NULL,

`data10` varchar(1024) DEFAULT NULL,

PRIMARY KEY (`data_id`)

)

PARTITION BY RANGE (data_id) (

PARTITION p201704 VALUES LESS THAN (2017050100010000001),

PARTITION p201705 VALUES LESS THAN (2017060100010000001),

PARTITION p201706 VALUES LESS THAN (2017070100010000001),

PARTITION p201707 VALUES LESS THAN (2017080100010000001),

PARTITION p201708 VALUES LESS THAN (2017090100010000001),

PARTITION p201709 VALUES LESS THAN (2017100100010000001),

PARTITION p201710 VALUES LESS THAN (2017110100010000001),

PARTITION p201711 VALUES LESS THAN (2017120100010000001),

PARTITION p201712 VALUES LESS THAN (2018010100010000001),

PARTITION p201801 VALUES LESS THAN (2018020100010000001),

PARTITION p201802 VALUES LESS THAN (2018030100010000001),

PARTITION p201803 VALUES LESS THAN (2018040100010000001),

PARTITION p201804 VALUES LESS THAN (2018050100010000001),

PARTITION p201805 VALUES LESS THAN (2018060100010000001),

PARTITION p201806 VALUES LESS THAN (2018070100010000001),

PARTITION p201807 VALUES LESS THAN (2018080100010000001),

PARTITION p201808 VALUES LESS THAN (2018090100010000001),

PARTITION p201809 VALUES LESS THAN (2018100100010000001),

PARTITION p201810 VALUES LESS THAN (2018110100010000001),

PARTITION p201811 VALUES LESS THAN (2018120100010000001),

PARTITION p201812 VALUES LESS THAN (2019010100010000001),

PARTITION p2019 VALUES LESS THAN (MAXVALUE) )

;

mysql 5.6 分区与不分区的区别的更多相关文章

MySQL学习笔记十三：表分区
1.分区一般用于非常大的表,采用“分而治之”的策略,将一个很大的对象分成多个小对象进行管理,每个分区都是一个独立的对象. 分区使用分区键将数据根据范围值,特定列值或HASH值等规则分布在不同的分区中. ...
Mysql --分区(4)List分区
LIST分区 LIST分区是建立离散的值列表告诉数据库特定的值属于哪个分区,LIST分区在很多方面类似于RANGE分区,区别在LIST分区是从属于一个枚举列表的值得集合,RANGE分区是从属于一个连续 ...
Mysql --分区(3)range分区
3.分区类型 RANGE分区按照range分区的表是利用取值范围将数据分成分区,区间要连续并且不能互相重叠,使用values less than操作符进行分区定义 CREATE TABLE tnp ...
mysql的分区技术(建立分区)
-- mysql建立表分区,使用range方法建立: create table t_range( id int(11), money int(11) unsigned not null, date d ...
mysql表分区、查看分区
原文地址:http://blog.csdn.net/feihong247/article/details/7885199 一. mysql分区简介数据库分区数据库分区是一种物理数据库设 ...
mysql分区之range分区
随着互联网的发展,各方面的数据越来越多,从最近两年大数据越来越强的呼声中就可见一斑. 我们所做的项目虽算不上什么大项目,但是由于业务量的问题,数据也是相当的多. 数据一多,就很容易出现性能问题,而为了 ...
MySQL 横向表分区之RANGE分区小结
MySQL 横向表分区之RANGE分区小结 by:授客 QQ:1033553122 目录简介 1 RANGE分区 1 创建分区表 1 查看表分区 2 新增表分区 2 新增数据 3 分区表查询 3 删 ...
mysql数据库优化（三）--分区
mysql的分区,分表分区:把一个数据表的文件和索引分散存储在不同的物理文件中. 特点:业务层透明,无需任何修改,即使从新分表,也是在mysql层进行更改(业务层代码不动) 分表:把原来的表根据条件 ...
mysql 表分区查看表分区修改表分区
原文地址:http://blog.csdn.net/feihong247/article/details/7885199 一. mysql分区简介数据库分区数据库分区是一种物理数据库设 ...
mysql分区表之二：MySQL的表的四种分区类型介绍
一.什么是表分区通俗地讲表分区是将一大表,根据条件分割成若干个小表.mysql5.1开始支持数据表分区了.如:某用户表的记录超过了600万条,那么就可以根据入库日期将表分区,也可以根据所在地将表分区 ...

随机推荐

iOS开发 - 事件传递响应链
序言当我们在使用微信等工具,点击扫一扫,就能打开二维码扫描视图.在我们点击屏幕的时候,iphone OS获取到了用户进行了“单击”这一行为,操作系统把包含这些点击事件的信息包装成UITouch和UI ...
查找->动态查找表->键树(无代码)
文字描述键树定义键树又叫数字查找树,它是一棵度大于或等于2的树,树中的每个结点中不是包含一个或几个关键字,而是只含有组成关键字的符号.例如,若关键字是数值,则结点中只包含一个数位:若关键字是单词, ...
启动虚拟机提示"Units specified don’t exist SHSUCDX can’t install"
新建虚拟机快速分区后启动报"Units specified don’t exist SHSUCDX can’t install",试过网上说的修改BIOS设置方法不起作用修改虚 ...
linux测试环境搭建步骤
一.建用户 1.新建用户root用户登录,执行命令:useradd + 用户名 -m -d + 指定路径如:新建用户liuwq ,指定路径/home/ios命令:useradd liuwq -m -d ...
JSON.parseObject 和 JSON.toJSONString
JSON.parseObject,是将Json字符串转化为相应的对象:JSON.toJSONString则是将对象转化为Json字符串.在前后台的传输过程中,Json字符串是相当常用的,这里就不多介绍 ...
LeetCode-300.Longst Increasing Subsequence
Given an unsorted array of integers, find the length of longest increasing subsequence. Example: Inp ...
帝国cms添加修改会员字段时字段名不能带数字,否则注册页会出现空白
这几天ytkah在整帝国cms会员模块,根据客户需求添加不同的字段,这个相对不难,可还是遇到了点问题.当时添加会员字段时,在字段名用数字“1”来代表第一次,如下图的字段名“1rwsdy” 但是添加以后 ...
【PCA】周志华
一.书籍
node 学习系列-hello world
准备学习node,记录一段 1.搭建好 node 以后,就记录一下 hello world
共分为六部完成根据模板导出excel操作
第一步.设置excel模板路径(setSrcPath) 第二步.设置要生成excel文件路径(setDesPath) 第三步.设置模板中哪个Sheet列(setSheetName) 第四步.获取所读取 ...

mysql 5.6 分区与不分区的区别

mysql 5.6 分区与不分区的区别的更多相关文章

随机推荐

热门专题