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一 应用场景描述
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http://john88wang.blog.51cto.com/2165294/1770582
在前面介绍可以通过创建新表然后导入一个月内的数据到新表，最后删除旧表的方法来处理历史数据。
但是这种方式非常耗费时间，至少是几个小时，同时也不必须停掉zabbix server防止新的数据写入。对于需要全天不停地处理监控的应用来说，这种方法还是不可取的。
我们可以使用MySQL表分区来对history这种大表进行分区，但是一定要在数据量小的时候进行分区，当数据量达到好几十G设置几百G了还是采用第一种方法把数据清理了再作表分区
二 MySQL表分区相关知识点
MySQL的表分区不支持外键。Zabbix2.0以上history和trend相关的表没有使用外键，因此可以使用分区。
MySQL表分区就是将一个大表在逻辑上切分成好几个物理分片。使用MySQL表分区有以下几个好处：
在有些场景下可以明显增加查询性能，特别是对于那些重度使用的表如果是一个单独的分区或者好几个分区就可以明显增加查询性能，因为比起加载整张表的数据到内存，一个分区的数据和索引更容易加载到内存。查看zabbix数据的general日志，可以发现zabbix对于history相关的几张表调用是非常频繁的，所以如果要优化zabbix的数据库重点要优化history这几张大表。
如果查询或者更新主要是使用一个分区，那么性能提升就可以简单地通过顺序访问磁盘上的这个分区而不用使用索引和随机访问整张表。
批量插入和删除执行的时候可以简单地删除或者增加分区，只要当创建分区的时候有计划的创建。ALTER TABLE操作也会很快
MySQL从5.1以后支持表分区。MySQL5.6之前查看是否支持表分区
mysql> show variables like 'have_partitioning'; +-------------------+-------+ | Variable_name | Value | +-------------------+-------+ | have_partitioning | YES | +-------------------+-------+ 1 row in set (0.00 sec)
MySQL5.6开始查看是否支持表分区
show plugins;
MySQL表分区类型
Range partitioning
根据取值范围将表划分成多块。每个单独分区的取值范围不能越界。例如根据日期分区或者根据其他摸个自定义字段分区。
Other partitioning types
其他的分区类型有hash，list和key。这里zabbix的history类表时候使用range类型的表分区。
三 管理history类表的分区
这里提供两种方案来管理分区：
使用MySQL存储过程
使用外部脚本
使用存储过程调试会比较麻烦，这里推荐使用外部脚本来管理分区
| Purpose | Data type | Maximum size | |
| history | Keeps raw history | Numeric (float) | double(16,4) - 999999999999.9999 |
| history_uint | Keeps raw history | Numeric (unsigned) | bigint(20) - 264+1 |
| history_str | Keeps raw short string data | Character | varchar(255) - 255 |
| history_text | Keeps raw long string data | Text | text - 65535 |
| history_log | Keeps raw log strings | Log | text - 65535 |
| trends | Keeps reduced dataset (trends) | Numeric (float) | double(16,4) - 999999999999.9999 |
| trends_uint | Keeps reduced dataset (trends) | Numeric (unsigned) | bigint(20) - 264+1 |
数据类型是Character,Text,Log类型的的监控项是没有趋势数据的，就是在trends表中没有数据，如果要对history_str,history_text,history_log作表分区需要考虑这个问题。
Partitionning descisions
在执行为zabbix执行表分区之前必须要考虑几个方面：
使用range partitioning就是使用基于范围的分区，一般是基于日期
Housekeeper对于某些数据类型不在需要了。可以通过Administration->General->Housekeeping来关闭不需要的数据类型的housekeeping。比如关闭History类的housekeeping
监控项目配置中的History storage period (in days) 和Trend storage period (in days)将不在使用，因为老数据会根据范围清理掉。这两个值可以也应该被Administration->General->Housekeeping中设置的时间间隔给重置。Housekeeping设置的时间间隔应该匹配期望保留的表分区。
如果需要存储数据很长一段时间，但是磁盘空间有限，可以利用对过期的分区使用软链接。
mysql> show variables like 'have_symlink';
+---------------+-------+
| Variable_name | Value |
+---------------+-------+
| have_symlink | YES |
+---------------+-------+
1 row in set (0.00 sec)
但是不建议使用软链接功能，因为软连接很难保证对任何表都工作正常。还有就是即使监控项目的housekeeping在页面关闭了，Zabbix server和web接口还是会持续向housekeeper表写入housekeeping信息以供讲来使用。为了避免这个，可以设置
ALTER TABLE housekeeper ENGINE = BLACKHOLE;
A.使用MySQL存储过程和事件调度器进行分区
首先确定event scheduler开启
mysql> SHOW GLOBAL VARIABLES LIKE 'event_scheduler';
+-----------------+-------+
| Variable_name | Value |
+-----------------+-------+
| event_scheduler | ON |
+-----------------+-------+
1 row in set (0.00 sec)
在/etc/my.cnf文中也要设置
event_scheduler=ON
Zabbix 2.2之后的版本只有几个和历史数据的大表建议分区history, history_uint, history_str, history_text, history_log, trends, trends_uint。
由于MySQL有关于使用唯一索引，主键等的内部限制。在开始分区之前需要更改一些索引
Zabbix2.2以及以后的版本
ALTER TABLE `history_log` DROP PRIMARY KEY, ADD INDEX `history_log_0` (`id`);
ALTER TABLE `history_log` DROP KEY `history_log_2`;
ALTER TABLE `history_text` DROP PRIMARY KEY, ADD INDEX `history_text_0` (`id`);
ALTER TABLE `history_text` DROP KEY `history_text_2`;
现在可以为每个表开始执行分区操作。因为分区操作通常是对已经存在的的历史数据进行分区
对每张表必须指定分区从一个clock字段的最小值到当前时刻的值。
SELECT FROM_UNIXTIME(MIN(clock)) FROM `history_uint`;
mysql> SELECT FROM_UNIXTIME(MIN(clock)) FROM `history_uint`; +---------------------------+ | FROM_UNIXTIME(MIN(clock)) | +---------------------------+ | 2016-04-30 00:00:01 | +---------------------------+ 1 row in set (44 min 7.58 sec) mysql> SELECT FROM_UNIXTIME(MIN(clock)) FROM `history`; +---------------------------+ | FROM_UNIXTIME(MIN(clock)) | +---------------------------+ | 2016-04-30 00:00:01 | +---------------------------+ 1 row in set (26 min 9.16 sec) mysql> SELECT FROM_UNIXTIME(MIN(clock)) FROM `history_str`; +---------------------------+ | FROM_UNIXTIME(MIN(clock)) | +---------------------------+ | 2015-11-05 10:13:44 | +---------------------------+ 1 row in set (47.58 sec) mysql> SELECT FROM_UNIXTIME(MIN(clock)) FROM `history_text`; +---------------------------+ | FROM_UNIXTIME(MIN(clock)) | +---------------------------+ | 2016-04-30 00:00:26 | +---------------------------+ 1 row in set (0.17 sec) mysql> SELECT FROM_UNIXTIME(MIN(clock)) FROM `trends`; +---------------------------+ | FROM_UNIXTIME(MIN(clock)) | +---------------------------+ | 2015-10-15 13:00:00 | +---------------------------+ 1 row in set (9 min 57.65 sec) mysql> SELECT FROM_UNIXTIME(MIN(clock)) FROM `trends_uint`; | FROM_UNIXTIME(MIN(clock)) | +---------------------------+ | 2015-10-15 13:00:00 | +---------------------------+ 1 row in set (14 min 48.83 sec)
对所有要分区的表执行相同的查询操作
需要注意的是一个表总共的分区数量有限制，MySQL5.6.7之前是1024,MySQL5.6.7开始是8192
一张表要么全部分区要么全不要分区
mysql> ALTER TABLE `history_uint` PARTITION BY RANGE ( clock)
-> (PARTITION p2016_04_30 VALUES LESS THAN (UNIX_TIMESTAMP("2016-05-01 00:00:00")) ENGINE = InnoDB,
-> PARTITION p2016_05_01 VALUES LESS THAN (UNIX_TIMESTAMP("2016-05-02 00:00:00")) ENGINE = InnoDB,
-> PARTITION p2016_05_02 VALUES LESS THAN (UNIX_TIMESTAMP("2016-05-03 00:00:00")) ENGINE = InnoDB,
-> PARTITION p2016_05_03 VALUES LESS THAN (UNIX_TIMESTAMP("2016-05-04 00:00:00")) ENGINE = InnoDB,
-> PARTITION p2016_05_04 VALUES LESS THAN (UNIX_TIMESTAMP("2016-05-05 00:00:00")) ENGINE = InnoDB,
-> PARTITION p2016_05_05 VALUES LESS THAN (UNIX_TIMESTAMP("2016-05-06 00:00:00")) ENGINE = InnoDB,
-> PARTITION p2016_05_06 VALUES LESS THAN (UNIX_TIMESTAMP("2016-05-07 00:00:00")) ENGINE = InnoDB,
-> PARTITION p2016_05_07 VALUES LESS THAN (UNIX_TIMESTAMP("2016-05-08 00:00:00")) ENGINE = InnoDB,
-> PARTITION p2016_05_08 VALUES LESS THAN (UNIX_TIMESTAMP("2016-05-09 00:00:00")) ENGINE = InnoDB,
-> PARTITION p2016_05_09 VALUES LESS THAN (UNIX_TIMESTAMP("2016-05-10 00:00:00")) ENGINE = InnoDB,
-> PARTITION p2016_05_10 VALUES LESS THAN (UNIX_TIMESTAMP("2016-05-11 00:00:00")) ENGINE = InnoDB,
-> PARTITION p2016_05_11 VALUES LESS THAN (UNIX_TIMESTAMP("2016-05-12 00:00:00")) ENGINE = InnoDB,
-> PARTITION p2016_05_12 VALUES LESS THAN (UNIX_TIMESTAMP("2016-05-13 00:00:00")) ENGINE = InnoDB,
-> PARTITION p2016_05_13 VALUES LESS THAN (UNIX_TIMESTAMP("2016-05-14 00:00:00")) ENGINE = InnoDB)
-> ;执行完成后可以查看分区情况
mysql> show create table history_uint; +--------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | Table | Create Table | +--------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | history_uint | CREATE TABLE `history_uint` ( `itemid` bigint(20) unsigned NOT NULL, `clock` int(11) NOT NULL DEFAULT '0', `value` bigint(20) unsigned NOT NULL DEFAULT '0', `ns` int(11) NOT NULL DEFAULT '0', KEY `history_uint_1` (`itemid`,`clock`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin /*!50100 PARTITION BY RANGE ( clock) (PARTITION p2016_04_30 VALUES LESS THAN (1462032000) ENGINE = InnoDB, PARTITION p2016_05_01 VALUES LESS THAN (1462118400) ENGINE = InnoDB, PARTITION p2016_05_02 VALUES LESS THAN (1462204800) ENGINE = InnoDB, PARTITION p2016_05_03 VALUES LESS THAN (1462291200) ENGINE = InnoDB, PARTITION p2016_05_04 VALUES LESS THAN (1462377600) ENGINE = InnoDB, PARTITION p2016_05_05 VALUES LESS THAN (1462464000) ENGINE = InnoDB, PARTITION p2016_05_06 VALUES LESS THAN (1462550400) ENGINE = InnoDB, PARTITION p2016_05_07 VALUES LESS THAN (1462636800) ENGINE = InnoDB, PARTITION p2016_05_08 VALUES LESS THAN (1462723200) ENGINE = InnoDB, PARTITION p2016_05_09 VALUES LESS THAN (1462809600) ENGINE = InnoDB, PARTITION p2016_05_10 VALUES LESS THAN (1462896000) ENGINE = InnoDB, PARTITION p2016_05_11 VALUES LESS THAN (1462982400) ENGINE = InnoDB, PARTITION p2016_05_12 VALUES LESS THAN (1463068800) ENGINE = InnoDB, PARTITION p2016_05_13 VALUES LESS THAN (1463155200) ENGINE = InnoDB, PARTITION p2016_05_14 VALUES LESS THAN (1463241600) ENGINE = InnoDB, PARTITION p2016_05_15 VALUES LESS THAN (1463328000) ENGINE = InnoDB) */ | +--------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ 1 row in set (0.00 sec)
查看MySQL数据库目下下的表文件
# ls -lh|grep history_uint -rw-rw---- 1 mysql mysql 8.5K May 16 00:50 history_uint.frm -rw-rw---- 1 mysql mysql 240 May 16 00:50 history_uint.par -rw-rw---- 1 mysql mysql 2.5G May 15 10:44 history_uint#P#p2016_04_30.ibd -rw-rw---- 1 mysql mysql 2.5G May 15 10:54 history_uint#P#p2016_05_01.ibd -rw-rw---- 1 mysql mysql 2.5G May 15 11:03 history_uint#P#p2016_05_02.ibd -rw-rw---- 1 mysql mysql 2.5G May 15 11:13 history_uint#P#p2016_05_03.ibd -rw-rw---- 1 mysql mysql 2.5G May 15 11:23 history_uint#P#p2016_05_04.ibd -rw-rw---- 1 mysql mysql 2.3G May 15 11:31 history_uint#P#p2016_05_05.ibd -rw-rw---- 1 mysql mysql 112K May 15 10:34 history_uint#P#p2016_05_06.ibd -rw-rw---- 1 mysql mysql 972M May 15 11:35 history_uint#P#p2016_05_07.ibd -rw-rw---- 1 mysql mysql 1.0G May 15 11:38 history_uint#P#p2016_05_08.ibd -rw-rw---- 1 mysql mysql 2.6G May 15 11:48 history_uint#P#p2016_05_09.ibd -rw-rw---- 1 mysql mysql 2.6G May 15 11:57 history_uint#P#p2016_05_10.ibd -rw-rw---- 1 mysql mysql 2.6G May 15 12:07 history_uint#P#p2016_05_11.ibd -rw-rw---- 1 mysql mysql 2.6G May 15 12:17 history_uint#P#p2016_05_12.ibd -rw-rw---- 1 mysql mysql 2.6G May 15 12:27 history_uint#P#p2016_05_13.ibd -rw-rw---- 1 mysql mysql 2.4G May 15 20:50 history_uint#P#p2016_05_14.ibd -rw-rw---- 1 mysql mysql 696M May 16 01:23 history_uint#P#p2016_05_15.ibd -rw-rw---- 1 mysql mysql 1.9G May 16 15:28 history_uint#P#p2016_05_16.ibd
可以看到经过分区后的表的数据库文件由原来打个ibd文件变成了按照日期划分的多个ibd文件，同时增加了一个par文件来存储分区信息。
然后依次对history,history_log,history_str,history_text按照每天进行分区
对trends,trends_uint按照每个月进行分区
mysql> ALTER TABLE `trends_uint` PARTITION BY RANGE ( clock)
-> (PARTITION p2015_10 VALUES LESS THAN (UNIX_TIMESTAMP("2015-11-01 00:00:00")) ENGINE = InnoDB,
-> PARTITION p2015_11 VALUES LESS THAN (UNIX_TIMESTAMP("2015-12-01 00:00:00")) ENGINE = InnoDB,
-> PARTITION p2015_12 VALUES LESS THAN (UNIX_TIMESTAMP("2016-01-01 00:00:00")) ENGINE = InnoDB,
-> PARTITION p2016_01 VALUES LESS THAN (UNIX_TIMESTAMP("2016-02-01 00:00:00")) ENGINE = InnoDB,
-> PARTITION p2016_02 VALUES LESS THAN (UNIX_TIMESTAMP("2016-03-01 00:00:00")) ENGINE = InnoDB,
-> PARTITION p2016_03 VALUES LESS THAN (UNIX_TIMESTAMP("2016-04-01 00:00:00")) ENGINE = InnoDB,
-> PARTITION p2016_04 VALUES LESS THAN (UNIX_TIMESTAMP("2016-05-01 00:00:00")) ENGINE = InnoDB,
-> PARTITION p2016_05 VALUES LESS THAN (UNIX_TIMESTAMP("2016-06-01 00:00:00")) ENGINE = InnoDB)
-> ;手动增加或者删除分区
MySQL 5.6之前
ALTER TABLE `history_uint` ADD PARTITION p2011_10_23 VALUES LESS THAN (UNIX_TIMESTAMP("2011-10-24 00:00:00") ENGINE = InnoDB;
ALTER TABLE `history_uint` DROP PARTITION p2011_06;
MySQL5.6之后
ALTER TABLE `history_uint` ADD PARTITION (PARTITION p2016_05_16 VALUES LESS THAN (UNIX_TIMESTAMP("2016-05-17 00:00:00")) ENGINE=InnoDB);
ALTER TABLE `history_uint` DROP PARTITION p2016_05_16;
如果在MySQL5.6上按照MySQL5.6之前的ADD PARTITION语句执行会报如下错误
ERROR 1064 (42000): You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near 'p2016_05_16 VALUES LESS THAN (1463414400) ENGINE=InnoDB' at line 1
使用存储过程来进行分区 Partitioning with stored procedurces
1.创建一个管理分区的表，这个表记录每张需要进行分区的表的数据保留多长时间
INSERT INTO manage_partitions (tablename, period, keep_history, last_updated, comments) VALUES ('history', 'day', 30, now(), '');
INSERT INTO manage_partitions (tablename, period, keep_history, last_updated, comments) VALUES ('history_uint', 'day', 30, now(), '');
INSERT INTO manage_partitions (tablename, period, keep_history, last_updated, comments) VALUES ('history_str', 'day', 120, now(), '');
INSERT INTO manage_partitions (tablename, period, keep_history, last_updated, comments) VALUES ('history_text', 'day', 120, now(), '');
INSERT INTO manage_partitions (tablename, period, keep_history, last_updated, comments) VALUES ('history_log', 'day', 120, now(), '');
INSERT INTO manage_partitions (tablename, period, keep_history, last_updated, comments) VALUES ('trends', 'month', 24, now(), '');
INSERT INTO manage_partitions (tablename, period, keep_history, last_updated, comments) VALUES ('trends_uint', 'month', 24, now(), '');
Zabbix2.2之后的数据库只需要这几行
2.验证分区是否存在
DELIMITER $$
USE `zabbix`$$
DROP PROCEDURE IF EXISTS `create_next_partitions`$$
CREATE PROCEDURE `create_next_partitions`(IN_SCHEMANAME VARCHAR(64))
BEGIN
DECLARE TABLENAME_TMP VARCHAR(64);
DECLARE PERIOD_TMP VARCHAR(12);
DECLARE DONE INT DEFAULT 0;
DECLARE get_prt_tables CURSOR FOR
SELECT `tablename`, `period`
FROM manage_partitions;
DECLARE CONTINUE HANDLER FOR NOT FOUND SET done = 1;
OPEN get_prt_tables;
loop_create_part: LOOP
IF DONE THEN
LEAVE loop_create_part;
END IF;
FETCH get_prt_tables INTO TABLENAME_TMP, PERIOD_TMP;
CASE WHEN PERIOD_TMP = 'day' THEN
CALL `create_partition_by_day`(IN_SCHEMANAME, TABLENAME_TMP);
WHEN PERIOD_TMP = 'month' THEN
CALL `create_partition_by_month`(IN_SCHEMANAME, TABLENAME_TMP);
ELSE
BEGIN
ITERATE loop_create_part;
END;
END CASE;
UPDATE manage_partitions set last_updated = NOW() WHERE tablename = TABLENAME_TMP;
END LOOP loop_create_part;
CLOSE get_prt_tables;
END$$
DELIMITER ;
3.根据每天来创建表分区
DELIMITER $$
USE `zabbix`$$
DROP PROCEDURE IF EXISTS `create_partition_by_day`$$
CREATE PROCEDURE `create_partition_by_day`(IN_SCHEMANAME VARCHAR(64), IN_TABLENAME VARCHAR(64))
BEGIN
DECLARE ROWS_CNT INT UNSIGNED;
DECLARE BEGINTIME TIMESTAMP;
DECLARE ENDTIME INT UNSIGNED;
DECLARE PARTITIONNAME VARCHAR(16);
SET BEGINTIME = DATE(NOW()) + INTERVAL 1 DAY;
SET PARTITIONNAME = DATE_FORMAT( BEGINTIME, 'p%Y_%m_%d' );
SET ENDTIME = UNIX_TIMESTAMP(BEGINTIME + INTERVAL 1 DAY);
SELECT COUNT(*) INTO ROWS_CNT
FROM information_schema.partitions
WHERE table_schema = IN_SCHEMANAME AND table_name = IN_TABLENAME AND partition_name = PARTITIONNAME;
IF ROWS_CNT = 0 THEN
SET @SQL = CONCAT( 'ALTER TABLE `', IN_SCHEMANAME, '`.`', IN_TABLENAME, '`',
' ADD PARTITION (PARTITION ', PARTITIONNAME, ' VALUES LESS THAN (', ENDTIME, '));' );
PREPARE STMT FROM @SQL;
EXECUTE STMT;
DEALLOCATE PREPARE STMT;
ELSE
SELECT CONCAT("partition `", PARTITIONNAME, "` for table `",IN_SCHEMANAME, ".", IN_TABLENAME, "` already exists") AS result;
END IF;
END$$
DELIMITER ;
4.根据每个月来设置表分区
DELIMITER $$
USE `zabbix`$$
DROP PROCEDURE IF EXISTS `create_partition_by_month`$$
CREATE PROCEDURE `create_partition_by_month`(IN_SCHEMANAME VARCHAR(64), IN_TABLENAME VARCHAR(64))
BEGIN
DECLARE ROWS_CNT INT UNSIGNED;
DECLARE BEGINTIME TIMESTAMP;
DECLARE ENDTIME INT UNSIGNED;
DECLARE PARTITIONNAME VARCHAR(16);
SET BEGINTIME = DATE(NOW() - INTERVAL DAY(NOW()) DAY + INTERVAL 1 DAY + INTERVAL 1 MONTH);
SET PARTITIONNAME = DATE_FORMAT( BEGINTIME, 'p%Y_%m' );
SET ENDTIME = UNIX_TIMESTAMP(BEGINTIME + INTERVAL 1 MONTH);
SELECT COUNT(*) INTO ROWS_CNT
FROM information_schema.partitions
WHERE table_schema = IN_SCHEMANAME AND table_name = IN_TABLENAME AND partition_name = PARTITIONNAME;
IF ROWS_CNT = 0 THEN
SET @SQL = CONCAT( 'ALTER TABLE `', IN_SCHEMANAME, '`.`', IN_TABLENAME, '`',
' ADD PARTITION (PARTITION ', PARTITIONNAME, ' VALUES LESS THAN (', ENDTIME, '));' );
PREPARE STMT FROM @SQL;
EXECUTE STMT;
DEALLOCATE PREPARE STMT;
ELSE
SELECT CONCAT("partition `", PARTITIONNAME, "` for table `",IN_SCHEMANAME, ".", IN_TABLENAME, "` already exists") AS result;
END IF;
END$$
DELIMITER ;
5.验证和删除老的分区
DELIMITER $$
USE `zabbix`$$
DROP PROCEDURE IF EXISTS `drop_partitions`$$ CREATE PROCEDURE `drop_partitions`(IN_SCHEMANAME VARCHAR(64))
BEGIN
DECLARE TABLENAME_TMP VARCHAR(64);
DECLARE PARTITIONNAME_TMP VARCHAR(64);
DECLARE VALUES_LESS_TMP INT;
DECLARE PERIOD_TMP VARCHAR(12);
DECLARE KEEP_HISTORY_TMP INT;
DECLARE KEEP_HISTORY_BEFORE INT;
DECLARE DONE INT DEFAULT 0;
DECLARE get_partitions CURSOR FOR
SELECT p.`table_name`, p.`partition_name`, LTRIM(RTRIM(p.`partition_description`)), mp.`period`, mp.`keep_history`
FROM information_schema.partitions p
JOIN manage_partitions mp ON mp.tablename = p.table_name
WHERE p.table_schema = IN_SCHEMANAME
ORDER BY p.table_name, p.subpartition_ordinal_position;
DECLARE CONTINUE HANDLER FOR NOT FOUND SET done = 1;
OPEN get_partitions;
loop_check_prt: LOOP
IF DONE THEN
LEAVE loop_check_prt;
END IF;
FETCH get_partitions INTO TABLENAME_TMP, PARTITIONNAME_TMP, VALUES_LESS_TMP, PERIOD_TMP, KEEP_HISTORY_TMP;
CASE WHEN PERIOD_TMP = 'day' THEN
SET KEEP_HISTORY_BEFORE = UNIX_TIMESTAMP(DATE(NOW() - INTERVAL KEEP_HISTORY_TMP DAY));
WHEN PERIOD_TMP = 'month' THEN
SET KEEP_HISTORY_BEFORE = UNIX_TIMESTAMP(DATE(NOW() - INTERVAL KEEP_HISTORY_TMP MONTH - INTERVAL DAY(NOW())-1 DAY));
ELSE
BEGIN
ITERATE loop_check_prt;
END;
END CASE;
IF KEEP_HISTORY_BEFORE >= VALUES_LESS_TMP THEN
CALL drop_old_partition(IN_SCHEMANAME, TABLENAME_TMP, PARTITIONNAME_TMP);
END IF;
END LOOP loop_check_prt;
CLOSE get_partitions;
END$$
DELIMITER ;
6.删除设定的分区
DELIMITER $$
USE `zabbix`$$
DROP PROCEDURE IF EXISTS `drop_old_partition`$$ CREATE PROCEDURE `drop_old_partition`(IN_SCHEMANAME VARCHAR(64), IN_TABLENAME VARCHAR(64), IN_PARTITIONNAME VARCHAR(64))
BEGIN
DECLARE ROWS_CNT INT UNSIGNED;
SELECT COUNT(*) INTO ROWS_CNT
FROM information_schema.partitions
WHERE table_schema = IN_SCHEMANAME AND table_name = IN_TABLENAME AND partition_name = IN_PARTITIONNAME;
IF ROWS_CNT = 1 THEN
SET @SQL = CONCAT( 'ALTER TABLE `', IN_SCHEMANAME, '`.`', IN_TABLENAME, '`',
' DROP PARTITION ', IN_PARTITIONNAME, ';' );
PREPARE STMT FROM @SQL;
EXECUTE STMT;
DEALLOCATE PREPARE STMT;
ELSE
SELECT CONCAT("partition `", IN_PARTITIONNAME, "` for table `", IN_SCHEMANAME, ".", IN_TABLENAME, "` not exists") AS result;
END IF;
END$$
DELIMITER ;
7.设置事件调度器
DELIMITER $$
USE `zabbix`$$
CREATE EVENT IF NOT EXISTS `e_part_manage`
ON SCHEDULE EVERY 1 DAY
STARTS '2011-08-08 04:00:00'
ON COMPLETION PRESERVE
ENABLE
COMMENT 'Creating and dropping partitions'
DO BEGIN
CALL zabbix.drop_partitions('zabbix');
CALL zabbix.create_next_partitions('zabbix');
END$$
DELIMITER ;
B.使用外部脚本来执行表分区
使用外部脚本来执行分区比使用存储过程简单，也便于排错。
脚本中注意MySQL的版本号
#!/usr/bin/perl
use strict;
use Data::Dumper;
use DBI;
use Sys::Syslog qw(:standard :macros);
use DateTime;
use POSIX qw(strftime);
openlog("mysql_zbx_part", "ndelay,pid", LOG_LOCAL0);
my $db_schema = 'zabbix';
my $dsn = 'DBI:mysql:'.$db_schema.':mysql_socket=/var/lib/mysql/mysql.sock';
my $db_user_name = 'zbx_srv';
my $db_password = '';
my $tables = { 'history' => { 'period' => 'day', 'keep_history' => '30'},
'history_log' => { 'period' => 'day', 'keep_history' => '30'},
'history_str' => { 'period' => 'day', 'keep_history' => '30'},
'history_text' => { 'period' => 'day', 'keep_history' => '30'},
'history_uint' => { 'period' => 'day', 'keep_history' => '30'},
'trends' => { 'period' => 'month', 'keep_history' => '2'},
'trends_uint' => { 'period' => 'month', 'keep_history' => '2'},
# comment next 5 lines if you partition zabbix database starting from 2.2
# they usually used for zabbix database before 2.2
# 'acknowledges' => { 'period' => 'month', 'keep_history' => '23'},
# 'alerts' => { 'period' => 'month', 'keep_history' => '6'},
# 'auditlog' => { 'period' => 'month', 'keep_history' => '24'},
# 'events' => { 'period' => 'month', 'keep_history' => '12'},
# 'service_alarms' => { 'period' => 'month', 'keep_history' => '6'},
};
my $amount_partitions = 10;
my $curr_tz = 'Asia/Shanghai';
my $part_tables;
my $dbh = DBI->connect($dsn, $db_user_name, $db_password);
unless ( check_have_partition() ) {
print "Your installation of MySQL does not support table partitioning.\n";
syslog(LOG_CRIT, 'Your installation of MySQL does not support table partitioning.');
exit 1;
}
my $sth = $dbh->prepare(qq{SELECT table_name, partition_name, lower(partition_method) as partition_method,
rtrim(ltrim(partition_expression)) as partition_expression,
partition_description, table_rows
FROM information_schema.partitions
WHERE partition_name IS NOT NULL AND table_schema = ?});
$sth->execute($db_schema);
while (my $row = $sth->fetchrow_hashref()) {
$part_tables->{$row->{'table_name'}}->{$row->{'partition_name'}} = $row;
}
$sth->finish();
foreach my $key (sort keys %{$tables}) {
unless (defined($part_tables->{$key})) {
syslog(LOG_ERR, 'Partitioning for "'.$key.'" is not found! The table might be not partitioned.');
next;
}
create_next_partition($key, $part_tables->{$key}, $tables->{$key}->{'period'});
remove_old_partitions($key, $part_tables->{$key}, $tables->{$key}->{'period'}, $tables->{$key}->{'keep_history'})
}
delete_old_data();
$dbh->disconnect();
sub check_have_partition {
my $result = 0;
# MySQL 5.5
my $sth = $dbh->prepare(qq{SELECT variable_value FROM information_schema.global_variables WHERE variable_name = 'have_partitioning'});
# MySQL 5.6
#my $sth = $dbh->prepare(qq{SELECT plugin_status&nb
文章题目：处理Zabbix历史数据库办法二---使用MySQL表分区
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