prometheus 监控 hadoop + Hbase + zookeeper + mysql exporter

1. run JMX exporter as a java agent with all the four daemons. For this I have added EXTRA_JAVA_OPTS in hadoop-env.sh and yarn-env.sh :

[root@cloud01 hadoop]# cat yarn-env.sh |egrep -v '^$|#'
export YARN_RESOURCEMANAGER_OPTS="$YARN_RESOURCEMANAGER_OPTS -javaagent:/home/ec2-user/jmx_exporter/jmx_prometheus_javaagent-0.3.1.jar=9104:/home/ec2-user/jmx_exporter/prometheus_config.yml"
export YARN_NODEMANAGER_OPTS="$YARN_NODEMANAGER_OPTS -javaagent:/home/ec2-user/jmx_exporter/jmx_prometheus_javaagent-0.3.1.jar=9105:/home/ec2-user/jmx_exporter/prometheus_config.yml"

[root@do1cloud01 hadoop]# cat hadoop-env.sh |egrep -v '^$|#'
JAVA_HOME=/do1cloud/jdk1.8.0_151
export HADOOP_OS_TYPE=${HADOOP_OS_TYPE:-$(uname -s)}
case ${HADOOP_OS_TYPE} in
Darwin*)
export HADOOP_OPTS="${HADOOP_OPTS} -Djava.security.krb5.realm= "
export HADOOP_OPTS="${HADOOP_OPTS} -Djava.security.krb5.kdc= "
export HADOOP_OPTS="${HADOOP_OPTS} -Djava.security.krb5.conf= "
;;
esac
export HADOOP_NAMENODE_OPTS="$HADOOP_NAMENODE_OPTS -javaagent:/home/ec2-user/jmx_exporter/jmx_prometheus_javaagent-0.3.1.jar=9102:/home/ec2-user/jmx_exporter/prometheus_config.yml"
export HADOOP_DATANODE_OPTS="$HADOOP_DATANODE_OPTS -javaagent:/home/ec2-user/jmx_exporter/jmx_prometheus_javaagent-0.3.1.jar=9103:/home/ec2-user/jmx_exporter/prometheus_config.yml"

2.prometheus的配置

[root@do1cloud03 prometheus]# cat prometheus.yml|egrep -v '^$|#'
global:
rule_files:
   - "rules/cpu2mem.yml"
scrape_configs:
  - job_name: 'federate'
    scrape_interval: 10s
    honor_labels: true
    metrics_path: '/federate'
    params:
      'match[]':
         - '{job=~".+"}'

#hadoop
  - job_name: 'YARN_RESOURCEMANAGER'
    static_configs:
      - targets: ['10.0.0.99:9104','10.0.0.65:9104','10.0.0.77:9104']
    
  - job_name: 'YARN_NODEMANAGER'
    static_configs:
      - targets: ['10.0.0.99:9105','10.0.0.65:9105','10.0.0.77:9105']
  - job_name: 'HADOOP_NAMENODE'
    static_configs:
      - targets: ['10.0.0.99:9102','10.0.0.65:9102','10.0.0.77:9102']
  - job_name: 'HADOOP_DATANODE'
    static_configs:
      - targets: ['10.0.0.99:9103','10.0.0.65:9103','10.0.0.77:9103']
#hbase 
  - job_name: 'hbase'
    static_configs:
      - targets: ['10.0.0.99:7000']
        labels:
           instance: 99_7000
      - targets: ['10.0.0.65:7000']
        labels:
           instance: 65_7000
      - targets: ['10.0.0.77:7000']
        labels:
           instance: 77_7000

3.jar的配置文件

[root@do1cloud02 jmx_exporter]# cat /home/ec2-user/jmx_exporter/prometheus_config.yml
#rules:
# - pattern: Hadoop<service=ResourceManager, name=MetricsSystem, sub=Stats><>NumAllSources
#   name: sources
#   labels:
#    app_id: "hadoop_rm"
---
rules:
 - pattern: '.*'

 --------------------------------------------------------------------------------------------------

4.hbase的监控

[root@do1cloud01 conf]# cat hbase-env.sh  |egrep -v '^$|#'
export JAVA_HOME=/do1cloud/jdk1.8.0_151
export HBASE_CLASSPATH=/do1cloud/hadoop-3.0.3/etc/hadoop
export HBASE_MANAGES_ZK=false
export HBASE_OPTS="$HBASE_OPTS -XX:+UseConcMarkSweepGC"
HBASE_OPTS="$HBASE_OPTS -javaagent:/path/jmx_prometheus_javaagent-0.9.jar=7000:/path/hbase_jmx_config.yaml"
#再hbase启动后注释掉，再hbase shell

5.yaml文件内容

/path/hbase_jmx_config.yaml
---
rules:
 - pattern: '.*'

 参考：https://blog.godatadriven.com/hbase-prometheus-monitoring

用一个例子来演示会更加清晰