zabbix优化

1.如何度量Zabbix性能

通过Zabbix的NVPS(每秒处理数值数)来衡量其性能。

在Zabbix的dashboard上有一个错略的估值。

在4核CPU，6GB内存，RAID10(带有写入缓存)这样的配置条件下,Zabbix可以处理每分钟1M个数值,大约每秒15000个

2.性能低下的可见症兆

zabbix队列中有太多被延迟的item: Administration -> Queue
zabbix绘图中经常性出现断档，一些item没有数据
带有nodata()函数的触发器出现false
前端页面无响应

3.哪些因素造成Zabbix性能低下

主机数量也是影响性能的主要因素

4.了解Zabbix工作状态

获得zabbix内部状态

zabbix[wcache,values,all]

zabbix[queue,1m] ----延迟超过1分钟的item

获得zabbix内部组件工作状态(该组件处于BUSY状态的时间百分比)

zabbix[process,type,mode,state]

其中可用的参数为:

type: trapper,discoverer,escalator,alerter,etc

mode: avg,count,min,max

state: busy,idel

5.Zabbix调优大的原则性建议

确保zabbix内部组件性能处于被监控状态(调优的基础！)
使用硬件性能足够好的服务器
不同角色分开，使用各自独立的服务器
使用分布式部署
调整MySQL性能
调整Zabbix自身配置

6.Zabbix数据库调优

a.使用专用数据服务器，配置应该较高

给一个参考配置，可以处理NVPS为3000

Dell PowerEdge R610

CPU: Intel Xeon L5520 2.27GHz (16 cores)

Memory: 24GB RAM

Disks: 6x SAS 10k 配置 RAID10

b.每个table一个文件,修改my.cnf

innodb_file_per_table=1

c.使用percona替代MySQL

d.使用分区表，关闭Houerkeeper

关闭Houserkeeper,zabbix_server.conf

DisableHousekeeper=1

step 1.准备相关表

ALTER TABLE `acknowledges` DROP PRIMARY KEY, ADD KEY `acknowledgedid` (`acknowledgeid`);

ALTER TABLE `alerts` DROP PRIMARY KEY, ADD KEY `alertid` (`alertid`);

ALTER TABLE `auditlog` DROP PRIMARY KEY, ADD KEY `auditid` (`auditid`);

ALTER TABLE `events` DROP PRIMARY KEY, ADD KEY `eventid` (`eventid`);

ALTER TABLE `service_alarms` DROP PRIMARY KEY, ADD KEY `servicealarmid` (`servicealarmid`);

ALTER TABLE `history_log` DROP PRIMARY KEY, ADD PRIMARY KEY (`itemid`,`id`,`clock`);

ALTER TABLE `history_log` DROP KEY `history_log_2`;

ALTER TABLE `history_text` DROP PRIMARY KEY, ADD PRIMARY KEY (`itemid`,`id`,`clock`);

ALTER TABLE `history_text` DROP KEY `history_text_2`;

step2.设置每月的分区

以下步骤请在第一步的所有表中重复，下例是为events表创建2011-5到2011-12之间的月度分区。

ALTER TABLE `events` PARTITION BY RANGE( clock ) (

PARTITION p201105 VALUES LESS THAN (UNIX_TIMESTAMP("2011-06-01 00:00:00")),

PARTITION p201106 VALUES LESS THAN (UNIX_TIMESTAMP("2011-07-01 00:00:00")),

PARTITION p201107 VALUES LESS THAN (UNIX_TIMESTAMP("2011-08-01 00:00:00")),

PARTITION p201108 VALUES LESS THAN (UNIX_TIMESTAMP("2011-09-01 00:00:00")),

PARTITION p201109 VALUES LESS THAN (UNIX_TIMESTAMP("2011-10-01 00:00:00")),

PARTITION p201110 VALUES LESS THAN (UNIX_TIMESTAMP("2011-11-01 00:00:00")),

PARTITION p201111 VALUES LESS THAN (UNIX_TIMESTAMP("2011-12-01 00:00:00")),

PARTITION p201112 VALUES LESS THAN (UNIX_TIMESTAMP("2012-01-01 00:00:00"))

);

step3.设置每日的分区

以下步骤请在第一步的所有表中重复，下例是为history_uint表创建5.15到5.22之间的每日分区。

ALTER TABLE `history_uint` PARTITION BY RANGE( clock ) (

PARTITION p20110515 VALUES LESS THAN (UNIX_TIMESTAMP("2011-05-16 00:00:00")),

PARTITION p20110516 VALUES LESS THAN (UNIX_TIMESTAMP("2011-05-17 00:00:00")),

PARTITION p20110517 VALUES LESS THAN (UNIX_TIMESTAMP("2011-05-18 00:00:00")),

PARTITION p20110518 VALUES LESS THAN (UNIX_TIMESTAMP("2011-05-19 00:00:00")),

PARTITION p20110519 VALUES LESS THAN (UNIX_TIMESTAMP("2011-05-20 00:00:00")),

PARTITION p20110520 VALUES LESS THAN (UNIX_TIMESTAMP("2011-05-21 00:00:00")),

PARTITION p20110521 VALUES LESS THAN (UNIX_TIMESTAMP("2011-05-22 00:00:00")),

PARTITION p20110522 VALUES LESS THAN (UNIX_TIMESTAMP("2011-05-23 00:00:00"))

);

手动维护分区：

增加新分区

ALTER TABLE `history_uint` ADD PARTITION (

PARTITION p20110523 VALUES LESS THAN (UNIX_TIMESTAMP("2011-05-24 00:00:00"))

);

删除分区(使用Housekeepeing)

ALTER TABLE `history_uint` DROP PARTITION p20110515;

step4.自动每日分区

确认已经在step3的时候为history表正确创建了分区。

以下脚本自动drop和创建每日分区,默认只保留最近3天,如果你需要更多天的，请修改

@mindays 这个变量。

不要忘记将这条命令加入到你的cron中！

mysql -B -h localhost -u zabbix -pPASSWORD zabbix -e "CALL create_zabbix_partitions();"

自动创建分区的脚本:

https://github.com/xsbr/zabbixzone/blob/master/zabbix-mysql-autopartitioning.sql

DELIMITER //

DROP PROCEDURE IF EXISTS `zabbix`.`create_zabbix_partitions` //

CREATE PROCEDURE `zabbix`.`create_zabbix_partitions` ()

BEGIN

CALL zabbix.create_next_partitions("zabbix","history");

CALL zabbix.create_next_partitions("zabbix","history_log");

CALL zabbix.create_next_partitions("zabbix","history_str");

CALL zabbix.create_next_partitions("zabbix","history_text");

CALL zabbix.create_next_partitions("zabbix","history_uint");

CALL zabbix.drop_old_partitions("zabbix","history");

CALL zabbix.drop_old_partitions("zabbix","history_log");

CALL zabbix.drop_old_partitions("zabbix","history_str");

CALL zabbix.drop_old_partitions("zabbix","history_text");

CALL zabbix.drop_old_partitions("zabbix","history_uint");

END //

DROP PROCEDURE IF EXISTS `zabbix`.`create_next_partitions` //

CREATE PROCEDURE `zabbix`.`create_next_partitions` (SCHEMANAME varchar(64), TABLENAME varchar(64))

BEGIN

DECLARE NEXTCLOCK timestamp;

DECLARE PARTITIONNAME varchar(16);

DECLARE CLOCK int;

SET @totaldays = 7;

SET @i = 1;

createloop: LOOP

SET NEXTCLOCK = DATE_ADD(NOW(),INTERVAL @i DAY);

SET PARTITIONNAME = DATE_FORMAT( NEXTCLOCK, 'p%Y%m%d' );

SET CLOCK = UNIX_TIMESTAMP(DATE_FORMAT(DATE_ADD( NEXTCLOCK ,INTERVAL 1 DAY),'%Y-%m-%d 00:00:00'));

CALL zabbix.create_partition( SCHEMANAME, TABLENAME, PARTITIONNAME, CLOCK );

SET @i=@i+1;

IF @i > @totaldays THEN

LEAVE createloop;

END IF;

END LOOP;

END //

DROP PROCEDURE IF EXISTS `zabbix`.`drop_old_partitions` //

CREATE PROCEDURE `zabbix`.`drop_old_partitions` (SCHEMANAME varchar(64), TABLENAME varchar(64))

BEGIN

DECLARE OLDCLOCK timestamp;

DECLARE PARTITIONNAME varchar(16);

DECLARE CLOCK int;

SET @mindays = 3;

SET @maxdays = @mindays+4;

SET @i = @maxdays;

droploop: LOOP

SET OLDCLOCK = DATE_SUB(NOW(),INTERVAL @i DAY);

SET PARTITIONNAME = DATE_FORMAT( OLDCLOCK, 'p%Y%m%d' );

CALL zabbix.drop_partition( SCHEMANAME, TABLENAME, PARTITIONNAME );

SET @i=@i-1;

IF @i <= @mindays THEN

LEAVE droploop;

END IF;

END LOOP;

END //

DROP PROCEDURE IF EXISTS `zabbix`.`create_partition` //

CREATE PROCEDURE `zabbix`.`create_partition` (SCHEMANAME varchar(64), TABLENAME varchar(64), PARTITIONNAME varchar(64), CLOCK int)

BEGIN

DECLARE RETROWS int;

SELECT COUNT(1) INTO RETROWS

FROM `information_schema`.`partitions`

WHERE `table_schema` = SCHEMANAME AND `table_name` = TABLENAME AND `partition_name` = PARTITIONNAME;

IF RETROWS = 0 THEN

SELECT CONCAT( "create_partition(", SCHEMANAME, ",", TABLENAME, ",", PARTITIONNAME, ",", CLOCK, ")" ) AS msg;

SET @sql = CONCAT( 'ALTER TABLE `', SCHEMANAME, '`.`', TABLENAME, '`',

' ADD PARTITION (PARTITION ', PARTITIONNAME, ' VALUES LESS THAN (', CLOCK, '));' );

PREPARE STMT FROM @sql;

EXECUTE STMT;

DEALLOCATE PREPARE STMT;

END IF;

END //

DROP PROCEDURE IF EXISTS `zabbix`.`drop_partition` //

CREATE PROCEDURE `zabbix`.`drop_partition` (SCHEMANAME varchar(64), TABLENAME varchar(64), PARTITIONNAME varchar(64))

BEGIN

DECLARE RETROWS int;

SELECT COUNT(1) INTO RETROWS

FROM `information_schema`.`partitions`

WHERE `table_schema` = SCHEMANAME AND `table_name` = TABLENAME AND `partition_name` = PARTITIONNAME;

IF RETROWS = 1 THEN

SELECT CONCAT( "drop_partition(", SCHEMANAME, ",", TABLENAME, ",", PARTITIONNAME, ")" ) AS msg;

SET @sql = CONCAT( 'ALTER TABLE `', SCHEMANAME, '`.`', TABLENAME, '`',

' DROP PARTITION ', PARTITIONNAME, ';' );

PREPARE STMT FROM @sql;

EXECUTE STMT;

DEALLOCATE PREPARE STMT;

END IF;

END //

DELIMITER ;

e.使用tmpfs存储临时文件

mkdir /tmp/mysqltmp

修改/etc/fstab:

tmfs /tmp/mysqltmp tmpfs rw,uid=mysql,gid=mysql,size=1G,nr_inodes=10k,mode=0700 0 0

修改my.cnf

tmpdir=/tmp/mysqltmp

f.设置正确的buffer pool

设置Innodb可用多少内存，建议设置成物理内存的70%~80%

修改my.cnf

innodb_buffer_pool_size=14G

设置innodb使用O_DIRECT，这样buffer_pool中的数据就不会与系统缓存中的重复。

innodb_flush_method=O_DIRECT

以下给一个示例my.cnf，物理内存大小为24G:

g.设置合适的log大小

zabbix数据库属于写入较多的数据库，因此设置大一点可以避免MySQL持续将log文件flush到表中。

不过有一个副作用,就是启动和关闭数据库会变慢一点。

修改my.cnf

innodb_log_file_size=64M

h.打开慢查询日志

修改my.cnf

log_slow_queries=/var/log/mysql.slow.log

i.设置thread_cache_size

这个值似乎会影响show global status输出中Threads_created per Connection的hit rate

当设置成4的时候,有3228483 Connections和5840 Threads_created,hit rate达到了99.2%

Threads_created这个数值应该越小越好。

j.其他MySQL文档建议的参数调整

query_cache_limit=1M

query_cache_size=128M

tmp_table_size=256M

max_heap_table_size=256M

table_cache=256

max_connections = 300

innodb_flush_log_at_trx_commit=2

join_buffer_size=256k

read_buffer_size=256k

read_rnd_buffer_size=256k

7.调整zabbix工作进程数量,zabbix_server.conf

StartPollers=90

StartPingers=10

StartPollersUnreacheable=80

StartIPMIPollers=10

StartTrappers=20

StartDBSyncers=8

LogSlowQueries=1000

参考文档:

http://www.slideshare.net/xsbr/alexei-vladishev-zabbixperformancetuning

http://zabbixzone.com/zabbix/mysql-performance-tips-for-zabbix/

http://zabbixzone.com/zabbix/partitioning-tables/

http://linux-knowledgebase.com/en/Tip_of_the_day/March/Performance_Tuning_for_Zabbix

http://sysadminnotebook.blogspot.jp/2011/08/performance-tuning-mysql-for-zabbix.html