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  • MySQL大数据表水平分区优化的详细步骤

    将运行中的大表修改为分区表

    本文章代码仅限于以数据时间按月水平分区,其他需求可自行修改代码实现

    1. 创建一张分区表

    这张表的表字段和原表的字段一摸一样,附带分区

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    CREATE TABLE `metric_data_tmp`  (

        id bigint primary key auto_increment,

        metric varchar(128),

        datadt datetime not null unqine,

        value decimal(30, 6)

    ) ENGINE=InnoDB AUTO_INCREMENT=0 DEFAULT CHARSET=utf8

    partition by range (to_days(DATADT)) (

        PARTITION p201811 VALUES LESS THAN (to_days("2018-12-01")),

        PARTITION p201812 VALUES LESS THAN (to_days("2019-01-01")),

        PARTITION p201901 VALUES LESS THAN (to_days("2019-02-01")),

        PARTITION p201902 VALUES LESS THAN (to_days("2019-03-01")),

    );

    2. 将原表数据复制到临时表

    • 直接通过insert语句

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    insert into metric_data_tmp select * from metric_data;

    • 数据量非常大,可使用select into outfile, Load data file方式导出导入

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    SELECT * INTO OUTFILE 'data.txt' FIELDS TERMINATED BY ',' FROM metric_data;

    LOAD DATA INFILE 'data.txt' INTO TABLE metric_data_tmp FIELDS TERMINATED BY ',';

    3. 重命名分区表和历史表:

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    rename table metric_data to metric_data_bak;

    rename table metric_data_tmp to metric_data;

    4. 通过数据库的定时任务定时自动创建下月的分区

    • 存储过程

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    delimiter $$

    use `db_orbit`$$

    drop procedure if exists `create_partition_by_month`$$

    create procedure `create_partition_by_month`(in_schemaname varchar(64), in_tablename varchar(64))

    begin

        # 用于判断需要创建的表分区是否已经存在

        declare rows_cnt int unsigned;

        # 要创建表分区的时间

        declare target_date timestamp;

        #分区的名称,格式为p201811

        declare partition_name varchar(8);

             

        #要创建的分区时间为下个月

        set target_date = date_add(now(), interval 1 month);

        set partition_name = date_format( target_date, 'p%Y%m' );

             

        # 判断要创建的分区是否存在

        select count(1) into rows_cnt from information_schema.partitions t where table_schema = in_schemaname and table_name = in_tablename and ifnull(t.partition_name, '') = partition_name;

        if rows_cnt = 0 then

            set @sql = concat(

                'alter table `',

                in_schemaname,

                '`.`',

                in_tablename,

                '`',

                ' add partition (partition ',

                partition_name,

                " values less than (to_days('",

                date_format(DATE_ADD(target_date, INTERVAL 1 month), '%Y-%m-01'),

                "')) engine = innodb);"

            );

            prepare stmt from @sql;

            execute stmt;

            deallocate prepare stmt;

         else

           select concat("partition `", partition_name, "` for table `",in_schemaname, ".", in_tablename, "` already exists") as result;

         end if;

    end$$

    delimiter ;

    • 创建定时任务,定时执行存储过程创建分区

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    DELIMITER $$

    #该表所在的数据库名称

    USE `db_orbit`$$

    CREATE EVENT IF NOT EXISTS `generate_partition_for_metric_data`

    ON SCHEDULE EVERY 1 MONTH   #执行周期,还有天、月等等

    STARTS '2019-03-15 00:00:00'

    ON COMPLETION PRESERVE

    ENABLE

    COMMENT 'Creating partitions'

    DO BEGIN

        #调用刚才创建的存储过程,第一个参数是数据库名称,第二个参数是表名称

        CALL db_orbit.create_partition_by_month('db_orbit', 'metric_data');

    END$$

    DELIMITER ;

    5.其他

    • 查看表分区情况的SQL

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    select

        partition_name part, 

        partition_expression expr,

        partition_description descr,

        table_rows 

    from information_schema.partitions where table_name='metric_data';

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  • 原文地址:https://www.cnblogs.com/DataArt/p/10223582.html
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