MySQL删除数据表前三个月的数据
2021/10/9 13:19:00
本文主要是介绍MySQL删除数据表前三个月的数据,对大家解决编程问题具有一定的参考价值,需要的程序猿们随着小编来一起学习吧!
testrecord数据库中存储着玩家行为记录,每三个月需要清理掉。
删除数据前的准备
查看testrecord数据库的大小:
MySQL [(none)]> USE information_schema; Database changed MySQL [information_schema]> SELECT CONCAT(ROUND(SUM(DATA_LENGTH/1024/1024/1024),2),'GB') -> as DATA FROM TABLES WHERE -> table_schema='testrecord'; +---------+ | DATA | +---------+ | 56.70GB | +---------+ 1 row in set (0.00 sec)
查看testrecord数据库各数据表大小:
MySQL [information_schema]> SELECT -> table_schema as '数据库', -> table_name as '表名', -> table_rows as '记录数', -> TRUNCATE(data_length/1024/1024/1024, 2) as '数据容量(GB)', -> TRUNCATE(index_length/1024/1024/1024, 2) as '索引容量(GB)' -> FROM information_schema.tables -> WHERE table_schema='testrecord' -> ORDER BY data_length DESC, index_length DESC; +----------- +-------------------+-----------+----------------+----------------+ | 数据库 | 表名 | 记录数 | 数据容量(GB) | 索引容量(GB) | +----------- +-------------------+----------------------------+----------------+ | testrecord | playeritem | 71206129 | 9.71 | 4.17 | | testrecord | dropcord | 102342337 | 7.92 | 6.22 | | testrecord | ipcord | 22256444 | 4.97 | 3.93 | | testrecord | store | 16583137 | 2.58 | 1.20 | | testrecord | teip | 6887136 | 2.43 | 1.28 |
以上得知:
需要清理数据的前三个数据表分别是:playeritem、dropcord、ipcord
查看创建数据表的SQL语句:
MySQL [(none)]> USE testrecord; Database changed MySQL [testrecord]> SHOW CREATE TABLE playeritem \G *************************** 1. row *************************** Table: playeritem Create Table: CREATE TABLE `playeritem` ( #——————————————————字段结构略————————————————————————# ) ENGINE=InnoDB DEFAULT CHARSET=utf8 ROW_FORMAT=COMPACT /*!50100 PARTITION BY RANGE (`cordTime`) (PARTITION `playeritem_2021-05` VALUES LESS THAN (1622476800) ENGINE = InnoDB, PARTITION `playeritem_2021-06` VALUES LESS THAN (1625068800) ENGINE = InnoDB, PARTITION `playeritem_2021-07` VALUES LESS THAN (1627747200) ENGINE = InnoDB, PARTITION `playeritem_2021-08` VALUES LESS THAN (1630425600) ENGINE = InnoDB, PARTITION `playeritem_2021-09` VALUES LESS THAN (1633017600) ENGINE = InnoDB, PARTITION `playeritem_2021-10` VALUES LESS THAN (1635696000) ENGINE = InnoDB, PARTITION `playeritem_2021-11` VALUES LESS THAN (1638288000) ENGINE = InnoDB, PARTITION `playeritem_2021-12` VALUES LESS THAN (1640966400) ENGINE = InnoDB, PARTITION playeritem_max VALUES LESS THAN MAXVALUE ENGINE = InnoDB) */ 1 row in set (0.00 sec) MySQL [testrecord]> SHOW CREATE TABLE dropcord \G *************************** 1. row *************************** Table: dropcord Create Table: CREATE TABLE `dropcord` ( #——————————————————字段结构略————————————————————————# ) ENGINE=InnoDB DEFAULT CHARSET=utf8 /*!50100 PARTITION BY RANGE (to_days(cordtime)) (PARTITION p202105 VALUES LESS THAN (738307) ENGINE = InnoDB, PARTITION p202106 VALUES LESS THAN (738337) ENGINE = InnoDB, PARTITION p202107 VALUES LESS THAN (738368) ENGINE = InnoDB, PARTITION p202108 VALUES LESS THAN (738399) ENGINE = InnoDB, PARTITION p202109 VALUES LESS THAN (738429) ENGINE = InnoDB, PARTITION p202110 VALUES LESS THAN (738460) ENGINE = InnoDB, PARTITION p202111 VALUES LESS THAN (738490) ENGINE = InnoDB, PARTITION p202112 VALUES LESS THAN (738521) ENGINE = InnoDB, PARTITION pmax VALUES LESS THAN MAXVALUE ENGINE = InnoDB) */ 1 row in set (0.00 sec) MySQL [testrecord]> SHOW CREATE TABLE ipcord \G *************************** 1. row *************************** Table: ipcord Create Table: CREATE TABLE `ipcord` ( #——————————————————字段结构略————————————————————————# ) ENGINE=InnoDB DEFAULT CHARSET=utf8 /*!50100 PARTITION BY RANGE (to_days(cordtime)) (PARTITION p202105 VALUES LESS THAN (738307) ENGINE = InnoDB, PARTITION p202106 VALUES LESS THAN (738337) ENGINE = InnoDB, PARTITION p202107 VALUES LESS THAN (738368) ENGINE = InnoDB, PARTITION p202108 VALUES LESS THAN (738399) ENGINE = InnoDB, PARTITION p202109 VALUES LESS THAN (738429) ENGINE = InnoDB, PARTITION p202110 VALUES LESS THAN (738460) ENGINE = InnoDB, PARTITION p202111 VALUES LESS THAN (738490) ENGINE = InnoDB, PARTITION p202112 VALUES LESS THAN (738521) ENGINE = InnoDB, PARTITION pmax VALUES LESS THAN MAXVALUE ENGINE = InnoDB) */ 1 row in set (0.00 sec)
以上得知:
数据表采用了RNAGE分区,分别以月份天数创建了分区
查看数据表分区情况
MySQL [testrecord]> SELECT PARTITION_NAME part, -> PARTITION_EXPRESSION expr, -> PARTITION_DESCRIPTION descr, -> TABLE_ROWS -> FROM information_schema.PARTITIONS -> WHERE TABLE_SCHEMA = schema() AND TABLE_NAME = 'playeritem'; +--------------------+------------+------------+------------+ | part | expr | descr | TABLE_ROWS | +--------------------+------------+------------+------------+ | playeritem_2021-05 | `cordTime` | 1622476800 | 96549342 | | playeritem_2021-06 | `cordTime` | 1625068800 | 26259322 | | playeritem_2021-07 | `cordTime` | 1627747200 | 44541353 | | playeritem_2021-08 | `cordTime` | 1630425600 | 27246100 | | playeritem_2021-09 | `cordTime` | 1633017600 | 29226451 | | playeritem_2021-10 | `cordTime` | 1635696000 | 6806093 | | playeritem_2021-11 | `cordTime` | 1638288000 | 0 | | playeritem_2021-12 | `cordTime` | 1640966400 | 0 | | playeritem_max | `cordTime` | MAXVALUE | 0 | +------------------------+-------------------+------------+------------+ 9 rows in set (0.00 sec) MySQL [testrecord]> SELECT PARTITION_NAME part, -> PARTITION_EXPRESSION expr, -> PARTITION_DESCRIPTION descr, -> TABLE_ROWS -> FROM information_schema.PARTITIONS -> WHERE TABLE_SCHEMA = schema() AND TABLE_NAME = 'dropcord'; +---------+-------------------+----------+------------+ | part | expr | descr | TABLE_ROWS | +---------+-------------------+----------+------------+ | p202105 | to_days(cordtime) | 738307 | 60519201 | | p202106 | to_days(cordtime) | 738337 | 30759304 | | p202107 | to_days(cordtime) | 738368 | 55525655 | | p202108 | to_days(cordtime) | 738399 | 51800453 | | p202109 | to_days(cordtime) | 738429 | 58897747 | | p202110 | to_days(cordtime) | 738460 | 14470693 | | p202111 | to_days(cordtime) | 738490 | 0 | | p202112 | to_days(cordtime) | 738521 | 0 | | pmax | to_days(cordtime) | MAXVALUE | 0 | +---------+---------------------+----------+------------+ 9 rows in set (0.00 sec) MySQL [testrecord]> SELECT PARTITION_NAME part, -> PARTITION_EXPRESSION expr, -> PARTITION_DESCRIPTION descr, -> TABLE_ROWS -> FROM information_schema.PARTITIONS -> WHERE TABLE_SCHEMA = schema() AND TABLE_NAME = 'ipcord'; +---------+---------------------+----------+------------+ | part | expr | descr | TABLE_ROWS | +---------+---------------------+----------+------------+ | p202105 | to_days(cordtime) | 738307 | 70512202 | | p202106 | to_days(cordtime) | 738337 | 50759503 | | p202107 | to_days(cordtime) | 738368 | 65529654 | | p202108 | to_days(cordtime) | 738399 | 11692729 | | p202109 | to_days(cordtime) | 738429 | 17989204 | | p202110 | to_days(cordtime) | 738460 | 5010364 | | p202111 | to_days(cordtime) | 738490 | 0 | | p202112 | to_days(cordtime) | 738521 | 0 | | pmax | to_days(cordtime) | MAXVALUE | 0 | +---------+---------------------+----------+------------+ 9 rows in set (0.00 sec)
删除数据
依次删除5、6、7月的数据
ALTER TABLE playeritem DROP PARTITION playeritem_2021-05; ALTER TABLE dropcord DROP PARTITION p202105; ALTER TABLE ipcord DROP PARTITION p202105;
删除数据后的检查
依次检查分区表情况
MySQL [testrecord]> SELECT PARTITION_NAME part, -> PARTITION_EXPRESSION expr, -> PARTITION_DESCRIPTION descr, -> TABLE_ROWS -> FROM information_schema.PARTITIONS -> WHERE TABLE_SCHEMA = schema() AND TABLE_NAME = 'dropcord'; +---------+---------------------+----------+------------+ | part | expr | descr | TABLE_ROWS | +---------+---------------------+----------+------------+ | p202108 | to_days(recordtime) | 738399 | 51800453 | | p202109 | to_days(recordtime) | 738429 | 58897747 | | p202110 | to_days(recordtime) | 738460 | 14496732 | | p202111 | to_days(recordtime) | 738490 | 0 | | p202112 | to_days(recordtime) | 738521 | 0 | | pmax | to_days(recordtime) | MAXVALUE | 0 | +---------+---------------------+----------+------------+ 6 rows in set (0.00 sec)
并再次检查数据表大小确认存储空间是否已释放。
将以上操作写入脚本
clear_table_partition.sh
#!/bin/sh source /root/.bash_profile for db in $(mysql_cmd -Ne "SHOW DATABASES;" | grep testrecord) do # look the table partitions l_t_cmd="SELECT PARTITION_NAME part, \ PARTITION_EXPRESSION expr, \ PARTITION_DESCRIPTION descr, \ TABLE_ROWS \ FROM information_schema.PARTITIONS \ WHERE \ TABLE_SCHEMA = schema() \ AND TABLE_NAME = 'ipcord';" echo $l_t_cmd echo $db mysql_cmd -e "USE $db; $l_t_cmd;" # drop the table partitions d_t_cmd="ALTER TABLE playeritem DROP PARTITION playeritem_2021-05; ALTER TABLE playeritem DROP PARTITION playeritem_2021-06; ALTER TABLE playeritem DROP PARTITION playeritem_2021-07; ALTER TABLE dropcord DROP PARTITION p202105; ALTER TABLE dropcord DROP PARTITION p202106; ALTER TABLE dropcord DROP PARTITION p202107; ALTER TABLE ipcord DROP PARTITION p202105; ALTER TABLE ipcord DROP PARTITION p202106; ALTER TABLE ipcord DROP PARTITION p202107;" echo $d_t_cmd echo $db mysql_cmd -e "USE $db; $d_t_cmd;" done
总结
1、source命令可在当前shell环境中读取并执行来自文件里的命令
2、环境变量文件.bash_profile对当前登录用户有效,在文件内设置登录MySQL别名,简化代码:
3、mysql命令行工具选项 -Ne 的解释:
-e, --execute=name 表示执行MySQL语句并退出
-N, --skip-column-names 选项表示不要在结果中写入列名
有无 -N选项的区别如下:
[root@mysql ~]# mysql -uroot -p -e "SHOW DATABASES;" +--------------------+ | Database | +--------------------+ | information_schema | | mysql | | performance_schema | | sys | +--------------------+ [root@mysql ~]# mysql -uroot -p -Ne "SHOW DATABASES;" +--------------------+ | information_schema | | mysql | | performance_schema | | sys | +--------------------+
4、$()是shell的命令替换字符,shell会先执行括号里面的命令,并返回命令执行的标准输出结果
5、变量名l_t_cmd 定义的是查看表分区的语句,由此得知数据表采用了表分区
6、echo ${l_t_cmd}、echo ${db},使用echo将变量值输出,使脚本在执行过程中具有可读性
7、变量名d_t_cmd定义了删除表分区的语句,即使用ALTER TABLE table_name DROP PARTITION part_name语句删除表分区
8、INFORMATION_SCHEMA是每个 MySQL 实例中的数据库,存储有关 MySQL 服务器维护的所有其他数据库的详细信息
9、前面查看见建表语句时,descr列的数字代表的是时间戳,时间戳的值如何得来?
通过以下语句获得,
TO_DAY(date)函数返回日期date距离0000年1月1日的天数。
UNIX_TIMESTAMP(date)函数返回UNIX时间戳,自’1970-01-01 00:00:00’的到当前时间的秒数差
MariaDB [(none)]> SELECT TO_DAYS('2021-07-01 00:00:00'); +--------------------------------+ | TO_DAYS('2021-07-01 00:00:00') | +--------------------------------+ | 738337 | +--------------------------------+ 1 row in set (0.00 sec) MariaDB [(none)]> SELECT UNIX_TIMESTAMP('2021-07-01 00:00:00'); +---------------------------------------+ | UNIX_TIMESTAMP('2021-07-01 00:00:00') | +---------------------------------------+ | 1625068800 | +---------------------------------------+ 1 row in set (0.00 sec)
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