zabbix做为越来越受大家欢迎的监控工具，其相对于nagios,cacti之流，最大的一个特点就是数据是存放在关系型数据库中的，这样就可以极大的方便后续的数据查询，处理等，比如我们想知道一台机器全天ioutil 超过80的时间比例，在zabbix的数据库中，一个sql就可以搞定了，而在cacti中就不这么方便了，而且也不用担心数据随着时间的边长而被稀释掉。
在做zabbix的数据分析时，用到的比较多的表一般有hosts,items，interface,hisory*,trend*相关表，比如，通过zabbix监控整个hadoop集群的mapred的使用情况，只需要把每台机器的lastvalue进行聚合就好了。。
可以简单通过下面这种方式：
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#!/usr/bin/python#edit by ericni#to get hadoop totaol statistics# -*- coding: utf8 -*-import MySQLdb
import sys
import os
def get_total_value(sql):
db = MySQLdb.connect(host='xxx',user='xxxx',passwd='xxx',db='xxx')
cursor = db.cursor()
cursor.execute(sql)
try:
result = cursor.fetchone()[0]
except:
result = 0
cursor.close()
db.close()
return result
if __name__ == '__main__':
sql = ''
if sys.argv[1] == "all_mapTaskSlots":
sql = "select sum(lastvalue) from hosts a, items b where key_ = 'hadoop_metrics[mrmetrics.log,mapred.tasktracker,mapTaskSlots]' and lower(host) like '%-hadoop-datanode%' and a.hostid = b.hostid"
elif sys.argv[1] == "all_maps_running":
sql = "select sum(lastvalue) from hosts a, items b where key_ = 'hadoop_metrics[mrmetrics.log,mapred.tasktracker,maps_running]' and lower(host) like '%-hadoop-datanode%' and a.hostid = b.hostid"
elif sys.argv[1] == "all_reduceTaskSlots":
sql = "select sum(lastvalue) from hosts a, items b where key_ = 'hadoop_metrics[mrmetrics.log,mapred.tasktracker,reduceTaskSlots]' and lower(host) like '%-hadoop-datanode%' and a.hostid = b.hostid"
elif sys.argv[1] == "all_reduces_running":
sql = "select sum(lastvalue) from hosts a, items b where key_ = 'hadoop_metrics[mrmetrics.log,mapred.tasktracker,reduces_running]' and lower(host) like '%-hadoop-datanode%' and a.hostid = b.hostid"
elif sys.argv[1] == "all_ThreadsBlocked":
sql = "select sum(lastvalue) from hosts a, items b where key_ = 'hadoop_stats[datanode,ThreadsBlocked]' and lower(host) like '%-hadoop-datanode%' and a.hostid = b.hostid"
elif sys.argv[1] == "all_ThreadsRunnable":
sql = "select sum(lastvalue) from hosts a, items b where key_ = 'hadoop_stats[datanode,ThreadsRunnable]' and lower(host) like '%-hadoop-datanode%' and a.hostid = b.hostid"
elif sys.argv[1] == "all_ThreadsWaiting":
sql = "select sum(lastvalue) from hosts a, items b where key_ = 'hadoop_stats[datanode,ThreadsWaiting]' and lower(host) like '%-hadoop-datanode%' and a.hostid = b.hostid"
else:
sys.exit(0)
value = get_total_value(sql)
print value
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然后把可用的total map和total running map画在一个graph里面就可以知道map的使用率情况了。。
当然，zabbix也有自己的前端聚合的功能，不过相对来说，这样灵活性会高一些。。
本文转自菜菜光 51CTO博客，原文链接：http://blog.51cto.com/caiguangguang/1369808，如需转载请自行联系原作者