一、hiveserver2开启metrics，并启动jmx_exporter
1、修改hive-site.xml文件开启metrics
xml
<property>
<name>hive.server2.metrics.enabled</name>
<value>true</value>
</property>
<property>
<name>hive.service.metrics.codahale.reporter.classes</name>
<value>org.apache.hadoop.hive.common.metrics.metrics2.JmxMetricsReporter</value>
</property>2、启动时带上jmx_exporter
①下载jmx_exporter安装包放在服务器上
下载路径：
prometheus常用exporter下载地址大全
xml
/usr/local/jmx_expoter/jmx_prometheus_javaagent-0.9.0.jar
/usr/local/jmx_expoter/hiveserver2.yaml/usr/local/jmx_expoter/hiveserver2.yaml文件内容
yaml
rules:
- pattern: '.*'②修改hive安装目录bin/hive里的内容
bash
##把这段内容
export HADOOP_CLIENT_OPTS="$HADOOP_CLIENT_OPTS -Dlog4j.configurationFile=hive-log4j2.properties"
##修改为，增加上 指定jar和yaml文件和指定jmx端口随意9909
export HADOOP_CLIENT_OPTS="$HADOOP_CLIENT_OPTS java -javaagent:/usr/local/jmx_expoter/jmx_prometheus_javaagent-0.9.0.jar=9909:/usr/local/jmx_expoter/hiveserver2.yaml -Dlog4j.configurationFile=hive-log4j2.properties"3、查看都有哪些metrics
二、配置prometheus
prometheus下载地址
1、prometheus.yaml增加一下配置
yaml
scrape_configs:
- job_name: "hiveserver2"
static_configs:
- targets: ["hiveIp:9909","hiveIp:9909"]2、启动
bash
nohup ./prometheus --config.file=prometheus.yaml --web.listen-address=:9090 --storage.tsdb.retention=7d > ./prometheus.log 2>&1 &三、配置grafana
1、配置prometheus数据源
如果数据源不是这个名字，下边的json记得改名字
2、dashboards import json
其他指标可以自行添加panels(嵌板)
bash
{
"__inputs": [
{
"name": "VAR_JOB",
"type": "constant",
"label": "job",
"value": "hiveserver2",
"description": ""
}
],
"__requires": [
{
"type": "grafana",
"id": "grafana",
"name": "Grafana",
"version": "5.4.2"
},
{
"type": "panel",
"id": "graph",
"name": "Graph",
"version": "5.0.0"
},
{
"type": "datasource",
"id": "prometheus",
"name": "Prometheus",
"version": "5.0.0"
},
{
"type": "panel",
"id": "singlestat",
"name": "Singlestat",
"version": "5.0.0"
}
],
"annotations": {
"list": [
{
"builtIn": 1,
"datasource": "-- Grafana --",
"enable": true,
"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"name": "Annotations & Alerts",
"type": "dashboard"
}
]
},
"description": "Complete dashboard using metrics from prometheus JMX exporter, with drill down per job > instance",
"editable": true,
"gnetId": 8563,
"graphTooltip": 0,
"id": null,
"iteration": 1545278553000,
"links": [],
"panels": [
{
"datasource": {
"type": "prometheus",
"uid": "8mvN3liIz"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 0,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 9,
"w": 7,
"x": 0,
"y": 0
},
"id": 52,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom"
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "8mvN3liIz"
},
"expr": "metrics_open_connections_Count{instance=\"$instance\",job=\"$job\"}",
"refId": "A"
}
],
"title": "当前打开的连接数",
"type": "timeseries"
},
{
"datasource": {
"type": "prometheus",
"uid": "8mvN3liIz"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisLabel": "count",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 0,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineStyle": {
"fill": "solid"
},
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 9,
"w": 8,
"x": 7,
"y": 0
},
"id": 2,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom"
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "8mvN3liIz"
},
"editorMode": "code",
"exemplar": false,
"expr": "metrics_hs2_active_sessions_Value{instance=\"$instance\",job=\"$job\"}",
"format": "time_series",
"instant": false,
"legendFormat": "__auto",
"range": true,
"refId": "A"
}
],
"title": "当前活跃的session个数",
"type": "timeseries"
},
{
"datasource": {
"type": "prometheus",
"uid": "8mvN3liIz"
},
"fieldConfig": {
"defaults": {
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},
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"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 0,
"gradientMode": "none",
"hideFrom": {
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"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 9,
"w": 9,
"x": 15,
"y": 0
},
"id": 46,
"options": {
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"calcs": [],
"displayMode": "list",
"placement": "bottom"
},
"tooltip": {
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}
},
"pluginVersion": "9.0.0",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "8mvN3liIz"
},
"expr": "metrics_hive_tez_tasks_Count{instance=\"$instance\",job=\"$job\"}",
"refId": "A"
}
],
"title": "提交的Hive on Tez作业总数",
"type": "timeseries"
},
{
"datasource": {
"type": "prometheus",
"uid": "8mvN3liIz"
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"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
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"showPoints": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
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"x": 0,
"y": 9
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"id": 44,
"options": {
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"tooltip": {
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},
"targets": [
{
"datasource": {
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"uid": "8mvN3liIz"
},
"expr": "metrics_hs2_open_sessions_Value{instance=\"$instance\",job=\"$job\"}",
"refId": "A"
}
],
"title": "当前打开的session数",
"type": "timeseries"
},
{
"datasource": {
"type": "prometheus",
"uid": "8mvN3liIz"
},
"fieldConfig": {
"defaults": {
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"hideFrom": {
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"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"decimals": 0,
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
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},
{
"color": "red",
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]
},
"unit": "none"
},
"overrides": []
},
"gridPos": {
"h": 9,
"w": 8,
"x": 7,
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"id": 50,
"options": {
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"displayMode": "list",
"placement": "bottom"
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "8mvN3liIz"
},
"expr": "metrics_active_calls_api_runTasks_Count{instance=\"$instance\",job=\"$job\"}",
"refId": "A"
}
],
"title": "当前runtask请求数",
"type": "timeseries"
},
{
"datasource": {
"type": "prometheus",
"uid": "8mvN3liIz"
},
"fieldConfig": {
"defaults": {
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},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
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},
"overrides": []
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"gridPos": {
"h": 9,
"w": 9,
"x": 15,
"y": 9
},
"id": 48,
"options": {
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"graphMode": "area",
"justifyMode": "auto",
"orientation": "auto",
"reduceOptions": {
"calcs": [
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],
"fields": "",
"values": false
},
"textMode": "auto"
},
"pluginVersion": "9.0.0",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "8mvN3liIz"
},
"expr": "metrics_cumulative_connection_count_Count{instance=\"$instance\",job=\"$job\"}",
"refId": "A"
}
],
"title": "累计连接数",
"type": "stat"
},
{
"datasource": {
"type": "prometheus",
"uid": "8mvN3liIz"
},
"fieldConfig": {
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"pointSize": 5,
"scaleDistribution": {
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"stacking": {
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},
"thresholdsStyle": {
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},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
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{
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]
},
"unit": "decbytes"
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"overrides": []
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"gridPos": {
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"x": 0,
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"id": 14,
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"targets": [
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"datasource": {
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"uid": "8mvN3liIz"
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"expr": "metrics_memory_non_heap_committed_Value{instance=\"$instance\",job=\"$job\"}",
"refId": "A"
}
],
"title": "JVM已预留堆外内存",
"type": "timeseries"
},
{
"datasource": {
"type": "prometheus",
"uid": "8mvN3liIz"
},
"fieldConfig": {
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"targets": [
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"expr": "metrics_memory_total_init_Value{instance=\"$instance\",job=\"$job\"}",
"legendFormat": "__auto",
"range": true,
"refId": "A"
}
],
"title": "JVM初始化总内存",
"type": "stat"
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{
"datasource": {
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"uid": "8mvN3liIz"
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"fieldConfig": {
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"uid": "8mvN3liIz"
},
"expr": "metrics_memory_heap_max_Value{instance=\"$instance\",job=\"$job\"}",
"refId": "A"
}
],
"title": "JVM最大可用堆内存",
"type": "stat"
},
{
"datasource": {
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"uid": "8mvN3liIz"
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"expr": "metrics_memory_total_max_Value{instance=\"$instance\",job=\"$job\"}",
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],
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],
"title": "JVM初始化堆内存",
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},
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