文档文档

Jolokia2 Agent 输入插件

此插件从一个或多个 Jolokia 代理 REST 端点读取 JMX 指标。

引入于: Telegraf v1.5.0 标签: applications, network 操作系统支持: all

全局配置选项

插件支持其他全局和插件配置设置,用于修改指标、标签和字段,创建别名以及配置插件顺序等任务。更多详情请参阅 CONFIGURATION.md

配置

# Read JMX metrics from a Jolokia REST agent endpoint
[[inputs.jolokia2_agent]]
  # default_tag_prefix      = ""
  # default_field_prefix    = ""
  # default_field_separator = "."

  # Add agents URLs to query
  urls = ["https://:8080/jolokia"]
  # username = ""
  # password = ""
  # response_timeout = "5s"

  ## Optional origin URL to include as a header in the request. Some endpoints
  ## may reject an empty origin.
  # origin = ""

  ## Optional TLS config
  # tls_ca   = "/var/private/ca.pem"
  # tls_cert = "/var/private/client.pem"
  # tls_key  = "/var/private/client-key.pem"
  # insecure_skip_verify = false

  ## Add metrics to read
  [[inputs.jolokia2_agent.metric]]
    name  = "java_runtime"
    mbean = "java.lang:type=Runtime"
    paths = ["Uptime"]

可选地,为与代理通信指定 TLS 选项

[[inputs.jolokia2_agent]]
  urls = ["https://agent:8080/jolokia"]
  tls_ca   = "/var/private/ca.pem"
  tls_cert = "/var/private/client.pem"
  tls_key  = "/var/private/client-key.pem"
  #insecure_skip_verify = false

  [[inputs.jolokia2_agent.metric]]
    name  = "jvm_runtime"
    mbean = "java.lang:type=Runtime"
    paths = ["Uptime"]

指标配置

每个 metric 声明都会生成一个 Jolokia 请求,用于从 JMX MBean 获取遥测数据。

必需描述
mbeanJMX MBean 的对象名称。MBean 属性-键值可以包含通配符 *,允许您通过一个声明获取多个 MBean。
paths要读取的 MBean 属性列表。
tag_keys要转换为标签的 MBean 属性-键名称列表。属性-键名称成为标签名称,而属性-键值成为标签值。
tag_prefix要添加到由此 metric 声明生成的标签名称开头的字符串。
field_name设置为由此指标生成的字段名称的字符串;可以包含替换。
field_prefix要添加到由此 metric 声明生成的字段名称开头的字符串;可以包含替换。

使用 paths 来精炼要收集的字段。

[[inputs.jolokia2_agent.metric]]
  name  = "jvm_memory"
  mbean = "java.lang:type=Memory"
  paths = ["HeapMemoryUsage", "NonHeapMemoryUsage", "ObjectPendingFinalizationCount"]

前面的 jvm_memory metric 声明将产生以下输出

jvm_memory HeapMemoryUsage.committed=4294967296,HeapMemoryUsage.init=4294967296,HeapMemoryUsage.max=4294967296,HeapMemoryUsage.used=1750658992,NonHeapMemoryUsage.committed=67350528,NonHeapMemoryUsage.init=2555904,NonHeapMemoryUsage.max=-1,NonHeapMemoryUsage.used=65821352,ObjectPendingFinalizationCount=0 1503762436000000000

使用 * 通配符匹配 mbean 属性-键值,通过将值捕获到 tag_keys 来创建不同的系列。

[[inputs.jolokia2_agent.metric]]
  name     = "jvm_garbage_collector"
  mbean    = "java.lang:name=*,type=GarbageCollector"
  paths    = ["CollectionTime", "CollectionCount"]
  tag_keys = ["name"]

由于 name=* 匹配 G1 Old GenerationG1 Young Generation,并且 name 被用作标签,因此前面的 jvm_garbage_collector metric 声明将生成两个指标。

jvm_garbage_collector,name=G1\ Old\ Generation CollectionCount=0,CollectionTime=0 1503762520000000000
jvm_garbage_collector,name=G1\ Young\ Generation CollectionTime=32,CollectionCount=2 1503762520000000000

使用 tag_prefixtag_keys 来为标签名称添加详细信息。

[[inputs.jolokia2_agent.metric]]
  name       = "jvm_memory_pool"
  mbean      = "java.lang:name=*,type=MemoryPool"
  paths      = ["Usage", "PeakUsage", "CollectionUsage"]
  tag_keys   = ["name"]
  tag_prefix = "pool_"

前面的 jvm_memory_pool metric 声明将生成六个指标,每个指标都有一个独特的 pool_name 标签。

jvm_memory_pool,pool_name=Compressed\ Class\ Space PeakUsage.max=1073741824,PeakUsage.committed=3145728,PeakUsage.init=0,Usage.committed=3145728,Usage.init=0,PeakUsage.used=3017976,Usage.max=1073741824,Usage.used=3017976 1503764025000000000
jvm_memory_pool,pool_name=Code\ Cache PeakUsage.init=2555904,PeakUsage.committed=6291456,Usage.committed=6291456,PeakUsage.used=6202752,PeakUsage.max=251658240,Usage.used=6210368,Usage.max=251658240,Usage.init=2555904 1503764025000000000
jvm_memory_pool,pool_name=G1\ Eden\ Space CollectionUsage.max=-1,PeakUsage.committed=56623104,PeakUsage.init=56623104,PeakUsage.used=53477376,Usage.max=-1,Usage.committed=49283072,Usage.used=19922944,CollectionUsage.committed=49283072,CollectionUsage.init=56623104,CollectionUsage.used=0,PeakUsage.max=-1,Usage.init=56623104 1503764025000000000
jvm_memory_pool,pool_name=G1\ Old\ Gen CollectionUsage.max=1073741824,CollectionUsage.committed=0,PeakUsage.max=1073741824,PeakUsage.committed=1017118720,PeakUsage.init=1017118720,PeakUsage.used=137032208,Usage.max=1073741824,CollectionUsage.init=1017118720,Usage.committed=1017118720,Usage.init=1017118720,Usage.used=134708752,CollectionUsage.used=0 1503764025000000000
jvm_memory_pool,pool_name=G1\ Survivor\ Space Usage.max=-1,Usage.init=0,CollectionUsage.max=-1,CollectionUsage.committed=7340032,CollectionUsage.used=7340032,PeakUsage.committed=7340032,Usage.committed=7340032,Usage.used=7340032,CollectionUsage.init=0,PeakUsage.max=-1,PeakUsage.init=0,PeakUsage.used=7340032 1503764025000000000
jvm_memory_pool,pool_name=Metaspace PeakUsage.init=0,PeakUsage.used=21852224,PeakUsage.max=-1,Usage.max=-1,Usage.committed=22282240,Usage.init=0,Usage.used=21852224,PeakUsage.committed=22282240 1503764025000000000

使用替换来创建字段和字段前缀,其中包含通配符捕获的 MBean 属性-键。在下面的示例中,$1 代表属性-键 name 的值,$2 代表属性-键 topic 的值。

[[inputs.jolokia2_agent.metric]]
  name         = "kafka_topic"
  mbean        = "kafka.server:name=*,topic=*,type=BrokerTopicMetrics"
  field_prefix = "$1"
  tag_keys     = ["topic"]

前面的 kafka_topic metric 声明为每个 Kafka 主题生成一个指标。name Mbean 属性-键用作字段前缀,以帮助将字段汇总到单个指标中。

kafka_topic,topic=my-topic BytesOutPerSec.MeanRate=0,FailedProduceRequestsPerSec.MeanRate=0,BytesOutPerSec.EventType="bytes",BytesRejectedPerSec.Count=0,FailedProduceRequestsPerSec.RateUnit="SECONDS",FailedProduceRequestsPerSec.EventType="requests",MessagesInPerSec.RateUnit="SECONDS",BytesInPerSec.EventType="bytes",BytesOutPerSec.RateUnit="SECONDS",BytesInPerSec.OneMinuteRate=0,FailedFetchRequestsPerSec.EventType="requests",TotalFetchRequestsPerSec.MeanRate=146.301533938701,BytesOutPerSec.FifteenMinuteRate=0,TotalProduceRequestsPerSec.MeanRate=0,BytesRejectedPerSec.FifteenMinuteRate=0,MessagesInPerSec.FiveMinuteRate=0,BytesInPerSec.Count=0,BytesRejectedPerSec.MeanRate=0,FailedFetchRequestsPerSec.MeanRate=0,FailedFetchRequestsPerSec.FiveMinuteRate=0,FailedFetchRequestsPerSec.FifteenMinuteRate=0,FailedProduceRequestsPerSec.Count=0,TotalFetchRequestsPerSec.FifteenMinuteRate=128.59314292334466,TotalFetchRequestsPerSec.OneMinuteRate=126.71551273850747,TotalFetchRequestsPerSec.Count=1353483,TotalProduceRequestsPerSec.FifteenMinuteRate=0,FailedFetchRequestsPerSec.OneMinuteRate=0,FailedFetchRequestsPerSec.Count=0,FailedProduceRequestsPerSec.FifteenMinuteRate=0,TotalFetchRequestsPerSec.FiveMinuteRate=130.8516148751592,TotalFetchRequestsPerSec.RateUnit="SECONDS",BytesRejectedPerSec.RateUnit="SECONDS",BytesInPerSec.MeanRate=0,FailedFetchRequestsPerSec.RateUnit="SECONDS",BytesRejectedPerSec.OneMinuteRate=0,BytesOutPerSec.Count=0,BytesOutPerSec.OneMinuteRate=0,MessagesInPerSec.FifteenMinuteRate=0,MessagesInPerSec.MeanRate=0,BytesInPerSec.FiveMinuteRate=0,TotalProduceRequestsPerSec.RateUnit="SECONDS",FailedProduceRequestsPerSec.OneMinuteRate=0,TotalProduceRequestsPerSec.EventType="requests",BytesRejectedPerSec.FiveMinuteRate=0,BytesRejectedPerSec.EventType="bytes",BytesOutPerSec.FiveMinuteRate=0,FailedProduceRequestsPerSec.FiveMinuteRate=0,MessagesInPerSec.Count=0,TotalProduceRequestsPerSec.FiveMinuteRate=0,TotalProduceRequestsPerSec.OneMinuteRate=0,MessagesInPerSec.EventType="messages",MessagesInPerSec.OneMinuteRate=0,TotalFetchRequestsPerSec.EventType="requests",BytesInPerSec.RateUnit="SECONDS",BytesInPerSec.FifteenMinuteRate=0,TotalProduceRequestsPerSec.Count=0 1503767532000000000

此插件支持适用于每个 metric 声明的默认配置。

默认值描述
default_field_separator.在创建字段时用于连接 Mbean 属性的字符。
default_field_prefixNone要添加到所有 metric 声明生成的字段名称开头的字符串。
default_tag_prefixNone要添加到所有 metric 声明生成的标签名称开头的字符串。

Metrics

指标取决于 inputs.jolokia2_agent.metric 部分中的定义。

示例输出

jvm_memory_pool,pool_name=Compressed\ Class\ Space PeakUsage.max=1073741824,PeakUsage.committed=3145728,PeakUsage.init=0,Usage.committed=3145728,Usage.init=0,PeakUsage.used=3017976,Usage.max=1073741824,Usage.used=3017976 1503764025000000000
jvm_memory_pool,pool_name=Code\ Cache PeakUsage.init=2555904,PeakUsage.committed=6291456,Usage.committed=6291456,PeakUsage.used=6202752,PeakUsage.max=251658240,Usage.used=6210368,Usage.max=251658240,Usage.init=2555904 1503764025000000000
jvm_memory_pool,pool_name=G1\ Eden\ Space CollectionUsage.max=-1,PeakUsage.committed=56623104,PeakUsage.init=56623104,PeakUsage.used=53477376,Usage.max=-1,Usage.committed=49283072,Usage.used=19922944,CollectionUsage.committed=49283072,CollectionUsage.init=56623104,CollectionUsage.used=0,PeakUsage.max=-1,Usage.init=56623104 1503764025000000000
jvm_memory_pool,pool_name=G1\ Old\ Gen CollectionUsage.max=1073741824,CollectionUsage.committed=0,PeakUsage.max=1073741824,PeakUsage.committed=1017118720,PeakUsage.init=1017118720,PeakUsage.used=137032208,Usage.max=1073741824,CollectionUsage.init=1017118720,Usage.committed=1017118720,Usage.init=1017118720,Usage.used=134708752,CollectionUsage.used=0 1503764025000000000
jvm_memory_pool,pool_name=G1\ Survivor\ Space Usage.max=-1,Usage.init=0,CollectionUsage.max=-1,CollectionUsage.committed=7340032,CollectionUsage.used=7340032,PeakUsage.committed=7340032,Usage.committed=7340032,Usage.used=7340032,CollectionUsage.init=0,PeakUsage.max=-1,PeakUsage.init=0,PeakUsage.used=7340032 1503764025000000000
jvm_memory_pool,pool_name=Metaspace PeakUsage.init=0,PeakUsage.used=21852224,PeakUsage.max=-1,Usage.max=-1,Usage.committed=22282240,Usage.init=0,Usage.used=21852224,PeakUsage.committed=22282240 1503764025000000000

示例配置

  • ActiveMQ
  • BitBucket
  • Cassandra
  • Hadoop-HDFS
  • Java JVM
  • JBoss
  • Kafka
  • Kafka Connect
  • Tomcat
  • Weblogic
  • ZooKeeper

请帮助改进此列表,并通过打开 issue 或 pull request 来贡献新的配置文件。


此页面是否有帮助?

感谢您的反馈!


InfluxDB 3.8 新特性

InfluxDB 3.8 和 InfluxDB 3 Explorer 1.6 的主要增强功能。

查看博客文章

InfluxDB 3.8 现已适用于 Core 和 Enterprise 版本,同时发布了 InfluxDB 3 Explorer UI 的 1.6 版本。本次发布着重于操作成熟度,以及如何更轻松地部署、管理和可靠地运行 InfluxDB。

更多信息,请查看

InfluxDB Docker 的 latest 标签将指向 InfluxDB 3 Core

在 **2026 年 2 月 3 日**,InfluxDB Docker 镜像的 latest 标签将指向 InfluxDB 3 Core。为避免意外升级,请在您的 Docker 部署中使用特定的版本标签。

如果使用 Docker 来安装和运行 InfluxDB,latest 标签将指向 InfluxDB 3 Core。为避免意外升级,请在您的 Docker 部署中使用特定的版本标签。例如,如果使用 Docker 运行 InfluxDB v2,请将 latest 版本标签替换为 Docker pull 命令中的特定版本标签 — 例如

docker pull influxdb:2