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这篇文章主要介绍了MySQL优化之Zabbix分区优化的示例分析,具有一定借鉴价值,感兴趣的朋友可以参考下,希望大家阅读完这篇文章之后大有收获,下面让小编带着大家一起了解一下。
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使用zabbix最大的瓶颈在于数据库,维护好zabbix的数据存储,告警,就能很好地应用zabbix去构建监控系统。目前zabbix的数据主要存储在history和trends的2个表中,随着时间的推移,这两个表变得非常大,性能会非常差,影响监控的使用。对MySQL进行调优,能够极大的提升Zabbix的性能,本文采用对MySQL进行分区的方法进行调优。
原理
对zabbix中的history和trends等表进行分区,按日期进行分区,每天一个,共保留90天分区。
操作详细步骤
操作影响: 可以在线操作,MySQL的读写变慢,Zabbix性能变慢,影响时间根据数据的小而变化,一般在2个小时左右。
第一步
登录zabbix server的数据库,统一MySQL的配置
cat > /etc/my.cnf<注意:一定要修改innodb_buffer_pool_size=物理内存的1/3
第二步
先确认zabbix的版本,本操作zabbix的版本一定要大于3.2.0。小于3.2的版本不能安装此操作,线上默认是zabbix-3.2.6。
a、 导入存储过程
#cat partition.sql DELIMITER $$ CREATE PROCEDURE `partition_create`(SCHEMANAMEvarchar(64), TABLENAME varchar(64), PARTITIONNAME varchar(64), CLOCK int) BEGIN /* SCHEMANAME = The DB schema in which to make changes TABLENAME = The table with partitions to potentially delete PARTITIONNAME = The name of the partition to create */ /* Verify that the partition does not already exist */ DECLARE RETROWS INT; SELECT COUNT(1) INTO RETROWS FROM information_schema.partitions WHERE table_schema = SCHEMANAME AND table_name = TABLENAME ANDpartition_description >= CLOCK; IF RETROWS = 0 THEN /* 1. Print a messageindicating that a partition was created. 2. Create the SQL to createthe partition. 3. Execute the SQL from #2. */ SELECT CONCAT( "partition_create(", SCHEMANAME, ",",TABLENAME, ",", PARTITIONNAME, ",", CLOCK, ")" )AS msg; SET @sql = CONCAT( 'ALTER TABLE ', SCHEMANAME, '.', TABLENAME, ' ADDPARTITION (PARTITION ', PARTITIONNAME, ' VALUES LESS THAN (', CLOCK, '));' ); PREPARE STMT FROM @sql; EXECUTE STMT; DEALLOCATE PREPARE STMT; END IF; END$$ DELIMITER ; DELIMITER $$ CREATE PROCEDURE `partition_drop`(SCHEMANAMEVARCHAR(64), TABLENAME VARCHAR(64), DELETE_BELOW_PARTITION_DATE BIGINT) BEGIN /* SCHEMANAME = The DB schema in which tomake changes TABLENAME = The table with partitions to potentially delete DELETE_BELOW_PARTITION_DATE = Delete any partitions with names that aredates older than this one (yyyy-mm-dd) */ DECLARE done INT DEFAULT FALSE; DECLARE drop_part_name VARCHAR(16); /* Get a list of all the partitions that are older than the date in DELETE_BELOW_PARTITION_DATE. All partitions are prefixed with a "p", so use SUBSTRING TOget rid of that character. */ DECLARE myCursor CURSOR FOR SELECT partition_name FROM information_schema.partitions WHERE table_schema = SCHEMANAME AND table_name = TABLENAME ANDCAST(SUBSTRING(partition_name FROM 2) AS UNSIGNED)CREATE_NEXT_INTERVALS THEN LEAVE create_loop; END IF; SET LESS_THAN_TIMESTAMP = CUR_TIME + (HOURLY_INTERVAL * @__interval *3600); SET PARTITION_NAME = FROM_UNIXTIME(CUR_TIME + HOURLY_INTERVAL *(@__interval - 1) * 3600, 'p%Y%m%d%H00'); IF(PARTITION_NAME != OLD_PARTITION_NAME) THEN CALLpartition_create(SCHEMA_NAME, TABLE_NAME, PARTITION_NAME, LESS_THAN_TIMESTAMP); END IF; SET @__interval=@__interval+1; SET OLD_PARTITION_NAME = PARTITION_NAME; END LOOP; SET OLDER_THAN_PARTITION_DATE=DATE_FORMAT(DATE_SUB(NOW(), INTERVALKEEP_DATA_DAYS DAY), '%Y%m%d0000'); CALL partition_drop(SCHEMA_NAME, TABLE_NAME, OLDER_THAN_PARTITION_DATE); END$$ DELIMITER ; DELIMITER $$ CREATE PROCEDURE `partition_verify`(SCHEMANAMEVARCHAR(64), TABLENAME VARCHAR(64), HOURLYINTERVAL INT(11)) BEGIN DECLARE PARTITION_NAME VARCHAR(16); DECLARE RETROWS INT(11); DECLARE FUTURE_TIMESTAMP TIMESTAMP; /* * Check if any partitions exist for the given SCHEMANAME.TABLENAME. */ SELECT COUNT(1) INTO RETROWS FROM information_schema.partitions WHERE table_schema = SCHEMANAME AND table_name = TABLENAME ANDpartition_name IS NULL; /* * If partitions do not exist, go ahead and partition the table */ IFRETROWS = 1 THEN /* * Take the current date at 00:00:00 and add HOURLYINTERVAL to it. This is the timestamp below which we willstore values. * We begin partitioning based on the beginning of a day. This is because we don't want to generate arandom partition * that won't necessarily fall in line with the desired partition naming(ie: if the hour interval is 24 hours, we could * end up creating a partition now named "p201403270600" whenall other partitions will be like "p201403280000"). */ SET FUTURE_TIMESTAMP = TIMESTAMPADD(HOUR, HOURLYINTERVAL,CONCAT(CURDATE(), " ", '00:00:00')); SET PARTITION_NAME = DATE_FORMAT(CURDATE(), 'p%Y%m%d%H00'); -- Create the partitioning query SET @__PARTITION_SQL = CONCAT("ALTER TABLE ", SCHEMANAME,".", TABLENAME, " PARTITION BY RANGE(`clock`)"); SET @__PARTITION_SQL = CONCAT(@__PARTITION_SQL, "(PARTITION ",PARTITION_NAME, " VALUES LESS THAN (",UNIX_TIMESTAMP(FUTURE_TIMESTAMP), "));"); -- Run the partitioning query PREPARE STMT FROM @__PARTITION_SQL; EXECUTE STMT; DEALLOCATE PREPARE STMT; END IF; END$$ DELIMITER ; DELIMITER $$ CREATE PROCEDURE`partition_maintenance_all`(SCHEMA_NAME VARCHAR(32)) BEGIN CALL partition_maintenance(SCHEMA_NAME, 'history', 90, 24, 14); CALL partition_maintenance(SCHEMA_NAME, 'history_log', 90, 24, 14); CALL partition_maintenance(SCHEMA_NAME, 'history_str', 90, 24, 14); CALL partition_maintenance(SCHEMA_NAME, 'history_text', 90, 24, 14); CALLpartition_maintenance(SCHEMA_NAME, 'history_uint', 90, 24, 14); CALL partition_maintenance(SCHEMA_NAME, 'trends', 730, 24, 14); CALL partition_maintenance(SCHEMA_NAME, 'trends_uint', 730, 24, 14); END$$ DELIMITER ; 上面内容包含了创建分区的存储过程,将上面内容复制到partition.sql中,然后执行如下:
mysql -uzabbix -pzabbix zabbix < partition.sqlb、 添加crontable,每天执行01点01分执行,如下:
crontab -l > crontab.txt cat >> crontab.txt </dev/null EOF cat crontab.txt |crontab 注意: mysql的zabbix用户的密码部分按照实际环境配置
c、首先执行一次(由于首次执行的时间较长,请使用nohup执行),如下:
nohup mysql -uzabbix -pzabbix zabbix -e "CALLpartition_maintenance_all('zabbix')" &> /root/partition.log&注意:观察/root/partition.log的输出
d、 查看结果
登录mysql,查看history等表, 如下:
MariaDB [zabbix]> showcreate table history | history | CREATE TABLE `history` ( `itemid` bigint(20) unsigned NOT NULL, `clock`int(11) NOT NULL DEFAULT '0', `value`double(16,4) NOT NULL DEFAULT '0.0000', `ns`int(11) NOT NULL DEFAULT '0', KEY`history_1` (`itemid`,`clock`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8 /*!50100 PARTITION BY RANGE (`clock`) (PARTITION p201708280000 VALUES LESS THAN(1503936000) ENGINE = InnoDB, PARTITION p201708290000 VALUES LESS THAN(1504022400) ENGINE = InnoDB, PARTITION p201708300000 VALUES LESS THAN(1504108800) ENGINE = InnoDB, PARTITION p201708310000 VALUES LESS THAN(1504195200) ENGINE = InnoDB, PARTITION p201709010000 VALUES LESS THAN(1504281600) ENGINE = InnoDB, PARTITION p201709020000 VALUES LESS THAN(1504368000) ENGINE = InnoDB, PARTITION p201709030000 VALUES LESS THAN(1504454400) ENGINE = InnoDB, PARTITION p201709040000 VALUES LESS THAN(1504540800) ENGINE = InnoDB, PARTITION p201709050000 VALUES LESS THAN(1504627200) ENGINE = InnoDB, PARTITION p201709060000 VALUES LESS THAN(1504713600) ENGINE = InnoDB, PARTITION p201709070000 VALUES LESS THAN(1504800000) ENGINE = InnoDB, PARTITION p201709080000 VALUES LESS THAN(1504886400) ENGINE = InnoDB, PARTITION p201709090000 VALUES LESS THAN(1504972800) ENGINE = InnoDB, PARTITION p201709100000 VALUES LESS THAN(1505059200) ENGINE = InnoDB, PARTITION p201709110000 VALUES LESS THAN(1505145600) ENGINE = InnoDB) */ |发现了大量PARTITION字段,说明配置正确。注意观察Mysql的Slow Query,一般到执行操作的第二天,Slow Query几乎就会有了,此时Zabbix的Dashboard响应速度应该非常流畅了。
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