【大数据监控】Grafana、Spark、HDFS、YARN、Hbase指标性能监控安装部署详细文档

Grafana

简介

Grafana 是一款开源的数据可视化工具，使用 Grafana 可以非常轻松的将数据转成图表(如下图)的展现形式来做到数据监控以及数据统计。

下载软件包

wget https://dl.grafana.com/enterprise/release/grafana-enterprise-9.1.6.linux-amd64.tar.gz

安装部署

解压

tar -xvzf grafana-enterprise-9.1.6.linux-arm64.tar.gz

mv grafana-9.1.6 /data/apps/
cd /data/apps/grafana-9.1.6/conf
cp sample.ini grafana.ini

修改配置文件

vim grafana.ini

[paths]
# Path to where grafana can store temp files, sessions, and the sqlite3 db (if that is used)
;data = /var/lib/grafana
data = /data/apps/grafana-9.1.6/data
logs = /data/apps/grafana-9.1.6/logs
plugins = /data/apps/grafana-9.1.6/plugins

[log]

mode = file
level = warn

创建用户

groupadd -g 9100 monitor
useradd -g 9100 -u 9100 -s /sbin/nologin -M monitor
mkdir data && mkdir logs && mkdir plugins

chown -R monitor:monitor grafana-9.1.6

创建Systemd服务

vim /usr/lib/systemd/system/grafana.service

[Unit]
Description=grafana service
After=network.target

[Service]
User=monitor
Group=monitor
KillMode=control-group
Restart=on-failure
RestartSec=60
ExecStart=/data/apps/grafana-9.1.6/bin/grafana-server -config /data/apps/grafana-9.1.6/conf/grafana.ini -pidfile /data/apps/grafana-9.1.6/grafana.pid -homepath /data/apps/grafana-9.1.6

[Install]
WantedBy=multi-user.target

启动 Grafana

systemctl daemon-reload
systemctl restart grafana.service
systemctl enable grafana.service
systemctl status grafana

Spark应用监控 Graphite_exporter

配置 mapping 文件

cd /usr/local/graphite_exporter
vim graphite_exporter_mapping

graphite_exportergraphite_exportengs:
- match: '*.*.executor.filesystem.*.*'
  name: spark_app_filesystem_usage
  labels:
    application: $1
    executor_id: $2
    fs_type: $3
    qty: $4
- match: '*.*.jvm.*.*'
  name: spark_app_jvm_memory_usage
  labels:
    application: $1
    executor_id: $2
    mem_type: $3
    qty: $4
- match: '*.*.executor.jvmGCTime.count'
  name: spark_app_jvm_gcTime_count
  labels:
    application: $1
    executor_id: $2
- match: '*.*.jvm.pools.*.*'
  name: spark_app_jvm_memory_pools
  labels:
    application: $1
    executor_id: $2
    mem_type: $3
    qty: $4
- match: '*.*.executor.threadpool.*'
  name: spark_app_executor_tasks
  labels:
    application: $1
    executor_id: $2
    qty: $3
- match: '*.*.BlockManager.*.*'
  name: spark_app_block_manager
  labels:
    application: $1
    executor_id: $2
    type: $3
    qty: $4
- match: '*.*.DAGScheduler.*.*'
  name: spark_app_dag_scheduler
  labels:
    application: $1
    executor_id: $2
    type: $3
    qty: $4
- match: '*.*.CodeGenerator.*.*'
  name: spark_app_code_generator
  labels:
    application: $1
    executor_id: $2
    type: $3
    qty: $4
- match: '*.*.HiveExternalCatalog.*.*'
  name: spark_app_hive_external_catalog
  labels:
    application: $1
    executor_id: $2
    type: $3
    qty: $4
- match: '*.*.*.StreamingMetrics.*.*'
  name: spark_app_streaming_metrics
  labels:
    application: $1
    executor_id: $2
    app_name: $3
    type: $4
    qty: $5

修改spark的metrics.properties配置文件，让其推送metrics到Graphite_exporter

*.sink.graphite.class=org.apache.spark.metrics.sink.GraphiteSink
*.sink.graphite.host=10.253.128.31
*.sink.graphite.port=9108
*.sink.graphite.period=10
*.sink.graphite.unit=seconds
#*.sink.graphite.prefix=<optional_value>

HDFS 监控

namenode.yaml

---
startDelaySeconds: 0
hostPort: localhost:1234 #master为本机IP（一般可设置为localhost）；1234为想设置的jmx端口
#jmxUrl: service:jmx:rmi:///jndi/rmi://127.0.0.1:1234/jmxrmi
ssl: false
lowercaseOutputName: false
lowercaseOutputLabelNames: false

datanode.yaml

---
startDelaySeconds: 0
hostPort: localhost:1244 #master为本机IP（一般可设置为localhost）；1244为想设置的jmx端口（可设置为未被占用的端口）
#jmxUrl: service:jmx:rmi:///jndi/rmi://127.0.0.1:1234/jmxrmi
ssl: false
lowercaseOutputName: false
lowercaseOutputLabelNames: false

配置 hadoop-env.sh

export HADOOP_NAMENODE_JMX_OPTS="-Dcom.sun.management.jmxremote.authenticate=false -Dcom.sun.management.jmxremote.ssl=false -Dcom.sun.management.jmxremote.local.only=false -Dcom.sun.management.jmxremote.port=1234 -javaagent:/jmx_prometheus_javaagent-0.8.jar=9211:/namenode.yaml"

export HADOOP_DATANODE_JMX_OPTS="-Dcom.sun.management.jmxremote.authenticate=false -Dcom.sun.management.jmxremote.ssl=false -Dcom.sun.management.jmxremote.local.only=false -Dcom.sun.management.jmxremote.port=1244 -javaagent:/jmx_prometheus_javaagent-0.8.jar=9212:/datanode.yaml"

YARN 监控

yarn.yaml

---
startDelaySeconds: 0
hostPort: localhost:2111 #master为本机IP（一般可设置为localhost）；1234为想设置的jmx端口
#jmxUrl: service:jmx:rmi:///jndi/rmi://127.0.0.1:1234/jmxrmi
ssl: false
lowercaseOutputName: false
lowercaseOutputLabelNames: false

配置 yarn-env.sh

export YARN_JMX_OPTS="-Dcom.sun.management.jmxremote.authenticate=false -Dcom.sun.management.jmxremote.ssl=false -Dcom.sun.management.jmxremote.local.only=false -Dcom.sun.management.jmxremote.port=2111 -javaagent:/jmx_prometheus_javaagent-0.8.jar=9323:/yarn.yaml"

HBase 监控

master.yaml

---
startDelaySeconds: 0
hostPort: IP:1254 #master为本机IP（一般可设置为localhost）；1234为想设置的jmx端口（可设
#jmxUrl: service:jmx:rmi:///jndi/rmi://127.0.0.1:1234/jmxrmi
ssl: false
lowercaseOutputName: false
lowercaseOutputLabelNames: false

regionserver.yaml

---
startDelaySeconds: 0
hostPort: IP:1255 #master为本机IP（一般可设置为localhost）；1234为想设置的jmx端口
#jmxUrl: service:jmx:rmi:///jndi/rmi://127.0.0.1:1234/jmxrmi
ssl: false
lowercaseOutputName: false
lowercaseOutputLabelNames: false

配置 hbase-env.sh

HBASE_M_JMX_OPTS="-Dcom.sun.management.jmxremote.authenticate=false -Dcom.sun.management.jmxremote.ssl=false -Dcom.sun.management.jmxremote.local.only=false -Dcom.sun.management.jmx    remote.port=1254 -javaagent:/jmx_prometheus_javaagent-0.8.jar=9523:/hbasem.yaml"
#======================================= prometheus jmx export start===================================
HBASE_JMX_OPTS="-Dcom.sun.management.jmxremote.authenticate=false -Dcom.sun.management.jmxremote.ssl=false -Dcom.sun.management.jmxremote.local.only=false -Dcom.sun.management.jmxre    mote.port=1255 -javaagent:/jmx_prometheus_javaagent-0.8.jar=9522:/hbase.yaml"
#======================================= prometheus jmx export end ===================================

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