flume监控

Flume本身提供了http, ganglia的监控服务,而我们目前主要使用zabbix做监控。因此,我们为Flume添加了zabbix监控模块,和sa的监控服务无缝融合。

另一方面,净化Flume的metrics。只将我们需要的metrics发送给zabbix,避免 zabbix server造成压力。目前我们最为关心的是Flume能否及时把应用端发送过来的日志写到Hdfs上, 对应关注的metrics为:

  • Source : 接收的event数和处理的event数
  • Channel : Channel中拥堵的event数
  • Sink : 已经处理的event数

zabbix监控Flume

#JVM性能监控
Young GC counts
sudo /usr/local/jdk1.7.0_21/bin/jstat -gcutil $(pgrep java)|tail -1|awk '{print $6}'

Full GC counts

sudo  /usr/local/jdk1.7.0_21/bin/jstat -gcutil $(pgrep java)|tail -1|awk '{print  $8}'

JVM total memory usage

sudo  /usr/local/jdk1.7.0_21/bin/jmap -histo $(pgrep java)|grep Total|awk '{print  $3}'

JVM total instances usage

sudo  /usr/local/jdk1.7.0_21/bin/jmap -histo $(pgrep java)|grep Total|awk '{print  $2}'

#flume应用参数监控
启动时加上JSON repoting参数,这样就可以通过http://localhost:34545/metrics访问

bin/flume-ng agent -n consumer -c conf -f bin/conf.properties -Dflume.monitoring.type=http -Dflume.monitoring.port=34545 &

#生成一些数据

for i in  {1..100};do echo "exec test$i" >> /usr/logs/log.10;echo  $i;done

#通过shell脚本对JSON输出进行排版

curl http://localhost:34545/metrics 2>/dev/null|sed -e  's/\([,]\)\s*/\1\n/g' -e 's/[{}]/\n/g' -e 's/[",]//g'

SOURCE.kafka:
OpenConnectionCount:0
AppendBatchAcceptedCount:0
AppendBatchReceivedCount:0
Type:SOURCE
EventAcceptedCount:7252225
AppendReceivedCount:0
StopTime:0
EventReceivedCount:0
StartTime:1407731371546
AppendAcceptedCount:0

SINK.es:
BatchCompleteCount:10697
ConnectionFailedCount:0
EventDrainAttemptCount:7253061
ConnectionCreatedCount:1
BatchEmptyCount:226
Type:SINK
ConnectionClosedCount:0
EventDrainSuccessCount:7253061
StopTime:0
StartTime:1407731371546
BatchUnderflowCount:14857

SINK.hdp:
BatchCompleteCount:1290
ConnectionFailedCount:0
EventDrainAttemptCount:8057502
ConnectionCreatedCount:35787
BatchEmptyCount:54894
Type:SINK
ConnectionClosedCount:35609
EventDrainSuccessCount:8057502
StopTime:0
StartTime:1407731371545
BatchUnderflowCount:45433

--------------$1 变量!!!eg:EventDrainSuccessCount(source,channel,sink)

#配置监控flume的脚本文件
cat /opt/monitor_flume.sh

curl  http://localhost:34545/metrics 2>/dev/null|sed -e 's/\([,]\)\s*/\1\n/g' -e  's/[{}]/\n/g' -e 's/[",]//g'|grep $1|awk -F: '{print $2}'
 
curl  http://localhost:34545/metrics 2>/dev/null|sed -e 's/\([,]\)\s*/\1\n/g' -e  's/[{}]/\n/g' -e 's/[",]//g'|grep Total|awk -F: '{print $2}'
 
curl  http://localhost:34545/metrics 2>/dev/null|sed -e 's/\([,]\)\s*/\1\n/g' -e  's/[{}]/\n/g' -e 's/[",]//g'|grep StartTime|awk -F: '{print $2}'

#在zabbix agent配置文件进行部署
cat zabbix_flume_jdk.conf

UserParameter=ygc.counts,sudo  /usr/local/jdk1.7.0_21/bin/jstat -gcutil $(pgrep java|head -1)|tail -1|awk  '{print $6}'
UserParameter=fgc.counts,sudo  /usr/local/jdk1.7.0_21/bin/jstat -gcutil $(pgrep java|head -1)|tail -1|awk  '{print $8}'
UserParameter=jvm.memory.usage,sudo  /usr/local/jdk1.7.0_21/bin/jmap -histo $(pgrep java|head -1)|grep Total|awk  '{print $3}'
UserParameter=jvm.instances.usage,sudo  /usr/local/jdk1.7.0_21/bin/jmap -histo $(pgrep java|head -1)|grep Total|awk '{print  $2}'
UserParameter=flume.monitor[*],/bin/bash  /opt/monitor_flume.sh $1

还没有评论,快来抢沙发!

发表评论

  • 😉
  • 😐
  • 😡
  • 😈
  • 🙂
  • 😯
  • 🙁
  • 🙄
  • 😛
  • 😳
  • 😮
  • emoji-mrgree
  • 😆
  • 💡
  • 😀
  • 👿
  • 😥
  • 😎
  • 😕
  • 68 queries in 0.199 seconds