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本文主要研究一下如何使用jmxtrans+influxdb+granfa监控zookeeper
配置zookeeper jmx
在conf目录下新增zookeeper-env.sh，并使用chmod +x赋予执行权限，内容如下
JMXLOCALONLY=false
JMXDISABLE=false
JMXPORT=8999
JMXAUTH=false
JMXSSL=false- 指定JMXPORT为8999
搭建influxdb及grafana
这里使用docker构建，如下
docker network create monitoring-network
docker run -d -p 8083:8083 -p 8086:8086 \
--net monitoring-network \
--name influxdb \
influxdb:1.5.4
curl -POST http://192.168.99.100:8086/query --data-urlencode "q=CREATE DATABASE zookeeper"
docker run -d -p 3000:3000 --net monitoring-network --name grafana grafana/grafana:5.2.4
curl 'http://admin:[email protected]:3000/api/datasources' -X POST \
-H 'Content-Type: application/json;charset=UTF-8' \
--data-binary '{"name":"influx","type":"influxdb","url":"http://192.168.99.100:8086",
"access":"proxy","isDefault":true,"database":"zookeeper","user":"admin","password":"admin"}'- 创建monitoring-network，让docker中的influxdb与grafana连通，然后使用rest api创建zookeeper数据库
- 创建grafana并指定net为monitoring-network，然后使用rest api配置数据源
jmxtrans配置
- 下载jmxtrans
wget http://central.maven.org/maven2/org/jmxtrans/jmxtrans/270/jmxtrans-270-all.jar- 下载执行脚本
wget -q https://raw.githubusercontent.com/jmxtrans/jmxtrans/master/jmxtrans/jmxtrans.sh
chmod +x jmxtrans.sh- 配置zookeeper.json
{
"servers": [
{
"port": 8999,
"host": "localhost",
"alias": "zk",
"queries": [
{
"outputWriters" : [
{
"@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
"url" : "http://192.168.99.100:8086/",
"database" : "zookeeper",
"username" : "admin",
"password" : "admin"
} ],
"obj": "org.apache.ZooKeeperService:name0=ReplicatedServer_id*",
"attr": [
"QuorumSize"
]
},
{
"outputWriters" : [
{
"@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
"url" : "http://192.168.99.100:8086/",
"database" : "zookeeper",
"username" : "admin",
"password" : "admin"
} ],
"obj": "org.apache.ZooKeeperService:name0=ReplicatedServer_id*,name1=replica*,name2=*",
"attr": [
"MaxClientCnxnsPerHost",
"MaxRequestLatency",
"AvgRequestLatency",
"MinRequestLatency",
"MaxSessionTimeout",
"MinSessionTimeout",
"OutstandingRequests",
"PacketsReceived",
"PacketsSent",
"PendingRevalidationCount",
"TickTime"
]
},
{
"outputWriters" : [
{
"@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
"url" : "http://192.168.99.100:8086/",
"database" : "zookeeper",
"username" : "admin",
"password" : "admin"
} ],
"obj": "org.apache.ZooKeeperService:name0=ReplicatedServer_id*,name1=replica*,name2=*,name3=InMemoryDataTree",
"attr": [
"NodeCount",
"WatchCount"
]
},
{
"outputWriters" : [
{
"@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
"url" : "http://192.168.99.100:8086/",
"database" : "zookeeper",
"username" : "admin",
"password" : "admin"
} ],
"obj": "org.apache.ZooKeeperService:name0=ReplicatedServer_id*,name1=replica*,name2=*,name3=Connections,name4=*,name5=*",
"resultAlias": "Clients",
"attr": [
"AvgLatency",
"LastLatency",
"MaxLatency",
"MinLatency",
"OutstandingRequests",
"PacketsReceived",
"PacketsSent"
]
},
{
"outputWriters" : [
{
"@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
"url" : "http://192.168.99.100:8086/",
"database" : "zookeeper",
"username" : "admin",
"password" : "admin"
} ],
"obj": "org.apache.ZooKeeperService:name0=StandaloneServer_port*",
"resultAlias": "Clients",
"attr": [
"AvgLatency",
"LastLatency",
"MaxLatency",
"MinLatency",
"OutstandingRequests",
"PacketsReceived",
"PacketsSent",
"NumAliveConnections"
]
},
{
"outputWriters" : [
{
"@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
"url" : "http://192.168.99.100:8086/",
"database" : "zookeeper",
"username" : "admin",
"password" : "admin"
} ],
"obj": "java.lang:type=Memory",
"resultAlias": "Memory",
"attr": [
"HeapMemoryUsage",
"NonHeapMemoryUsage"
]
},
{
"outputWriters" : [
{
"@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
"url" : "http://192.168.99.100:8086/",
"database" : "zookeeper",
"username" : "admin",
"password" : "admin"
} ],
"obj": "java.lang:type=OperatingSystem",
"resultAlias": "Process",
"attr": [
"OpenFileDescriptorCount",
"ProcessCpuLoad"
]
},
{
"outputWriters" : [
{
"@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
"url" : "http://192.168.99.100:8086/",
"database" : "zookeeper",
"username" : "admin",
"password" : "admin"
} ],
"obj": "java.lang:type=Threading",
"resultAlias": "Threading",
"attr": [
"ThreadCount"
]
}
],
"numQueryThreads": 2
}
]
}放在跟jmxtrans.sh脚本同一个目录下即可自动加载
- 启动
JAR_FILE=jmxtrans-270-all.jar ./jmxtrans.sh start- 日志输出实例
2018-10-04 11:28:30 [main] level org.quartz.impl.StdSchedulerFactory [StdSchedulerFactory.java:1179] - Using default implementation for ThreadExecutor
2018-10-04 11:28:30 [main] level org.quartz.core.SchedulerSignalerImpl [SchedulerSignalerImpl.java:60] - Initialized Scheduler Signaller of type: class org.quartz.core.SchedulerSignalerImpl
2018-10-04 11:28:30 [main] level org.quartz.core.QuartzScheduler [QuartzScheduler.java:229] - Quartz Scheduler v.1.8.6 created.
2018-10-04 11:28:30 [main] level org.quartz.simpl.RAMJobStore [RAMJobStore.java:139] - RAMJobStore initialized.
2018-10-04 11:28:30 [main] level org.quartz.core.QuartzScheduler [QuartzScheduler.java:255] - Scheduler meta-data: Quartz Scheduler (v1.8.6) 'ServerScheduler' with instanceId 'Mars.local1538623710548'
Scheduler class: 'org.quartz.core.QuartzScheduler' - running locally.
NOT STARTED.
Currently in standby mode.
Number of jobs executed: 0
Using thread pool 'org.quartz.simpl.SimpleThreadPool' - with 10 threads.
Using job-store 'org.quartz.simpl.RAMJobStore' - which does not support persistence. and is not clustered.
2018-10-04 11:28:30 [main] level org.quartz.impl.StdSchedulerFactory [StdSchedulerFactory.java:1324] - Quartz scheduler 'ServerScheduler' initialized from an externally opened InputStream.
2018-10-04 11:28:30 [main] level org.quartz.impl.StdSchedulerFactory [StdSchedulerFactory.java:1328] - Quartz scheduler version: 1.8.6
2018-10-04 11:28:30 [main] level org.quartz.core.QuartzScheduler [QuartzScheduler.java:2267] - JobFactory set to: com.googlecode.jmxtrans.guice.GuiceJobFactory@263f04ca
2018-10-04 11:28:30 [main] level com.googlecode.jmxtrans.JmxTransformer [JmxTransformer.java:177] - Starting Jmxtrans on : .
2018-10-04 11:28:30 [main] level org.quartz.core.QuartzScheduler [QuartzScheduler.java:519] - Scheduler ServerScheduler_$_Mars.local1538623710548 started.
2018-10-04 11:28:30 [main] level com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory [InfluxDbWriterFactory.java:121] - Result Tags to write set to: [ResultAttribute(name=typeName), ResultAttribute(name=objDomain), ResultAttribute(name=className), ResultAttribute(name=attributeName)]
2018-10-04 11:28:30 [main] level com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory [InfluxDbWriterFactory.java:102] - Connecting to url: http://192.168.99.100:8086/ as: username: admin
2018-10-04 11:28:31 [main] level com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory [InfluxDbWriterFactory.java:121] - Result Tags to write set to: [ResultAttribute(name=typeName), ResultAttribute(name=objDomain), ResultAttribute(name=className), ResultAttribute(name=attributeName)]查询influxdb数据
docker exec -it influxdb influx
Connected to http://localhost:8086 version 1.5.4
InfluxDB shell version: 1.5.4
> use zookeeper
Using database zookeeper
> show MEASUREMENTS
name: measurements
name
----
Clients
Memory
Process
Threading
> show series from "Memory"
key
---
Memory,attributeName=HeapMemoryUsage,className=sun.management.MemoryImpl,hostname=zk,objDomain=java.lang,typeName=type\=Memory
Memory,attributeName=NonHeapMemoryUsage,className=sun.management.MemoryImpl,hostname=zk,objDomain=java.lang,typeName=type\=Memory- 之后通过select * from "Memory"可以查看具体指标数据
- 查询到有数据之后，就可以在grafana上面进行配置可视化，然后进行监控
小结
对于zookeeper、kafka之类应用来说，内置了jmx，因而其监控可以通过jmxtrans进行指标收集转换，然后输出到influxdb或者graphite或者prometheus等，最后通过grafana进行可视化及监控报警。
doc
- jmxtrans
- jmxtrans-270-all.jar
- How do i enable remote jmx with port in zookeeper zkServer.cmd
- Monitoring Apache Kafka with Grafana / InfluxDB via JMX