使用jmx exporter采集kafka指标示例详解
charlieroro 人气:0预置条件
安装kafka、prometheus
使用JMX exporter暴露指标
下载jmx exporter以及配置文件。Jmx exporter中包含了kafka各个组件的指标,如server metrics、producer metrics、consumer metrics等,但这些指标并不是prometheus格式的,因此需要通过重命名方式转变为prometheus格式,重命名规则配置在kafka-2_0_0.yml
中。
wget https://repo1.maven.org/maven2/io/prometheus/jmx/jmx_prometheus_javaagent/0.12.0/jmx_prometheus_javaagent-0.12.0.jar wget https://raw.githubusercontent.com/prometheus/jmx_exporter/master/example_configs/kafka-2_0_0.yml
kafka集群启用监控
启用的方式比较简单,只需要在kafka-server-start.sh
中添加如下两行即可:
... #添加如下两行 export JMX_PORT="7081" export KAFKA_OPTS="-javaagent:/Users/charlie.liu/kafka_2.13-3.2.3/monitor/jmx_prometheus_javaagent-0.12.0.jar=7072:/Users/charlie.liu/kafka_2.13-3.2.3/monitor/kafka-2_0_0.yml" COMMAND=$1 case $COMMAND in -daemon) EXTRA_ARGS="-daemon "$EXTRA_ARGS shift ;; *) ;; esac exec $base_dir/kafka-run-class.sh $EXTRA_ARGS kafka.Kafka "$@"
prometheus的配置文件如下,启动之后即可看到kafka的指标:
global: scrape_interval: 15s scrape_configs: - job_name: "kafka-cluster" static_configs: - targets: ["localhost:7072"]
采集producer/consumer的指标
kafka的producer metrics和consumer metrics的格式与kafka server metrics的格式不同,因此需要特定的重命名配置,可以将其追加到kafka-2_0_0.yml
文件中:
# MBean: kafka.producer:type=producer-metrics,client-id=([-.w]+) - pattern: kafka.(.*)<type=(.*)-metrics, client-id=(.*)><>(.+):\w* name: kafka_$2-metrics labels: client_id: "$3" attr_name: "$4" help: "Kafka global client JMX metric $1 $2-metrics" type: GAUGE # MBean: kafka.producer:type=producer-node-metrics,client-id=([-.w]+),node-id=([0-9]+) # MBean: kafka.consumer:type=consumer-node-metrics,client-id=([-.w]+),node-id=([0-9]+) - pattern: kafka.(.*)<type=(.*)-metrics, client-id=(.*), node-id=(.*)><>(.+):\w* name: kafka_$2_$5-metrics labels: client_id: "$3" node_id: "$4" attr_name: "$5" help: "Kafka client JMX metric $1 $2-metrics" type: GAUGE - pattern: kafka.(.*)<type=(.*)-metrics, client-id=(.*), topic=(.*)><>(.+):\w* name: kafka_$2_$5-metrics labels: client_id: "$3" topic: "$4" attr_name: "$5" help: "Kafka client JMX metric $1 $2-metrics" type: GAUGE
使用如下方式启动consumer,
KAFKA_OPTS="-javaagent:/kafka_2.13-3.2.3/monitor/jmx_prometheus_javaagent-0.12.0.jar=7073:/kafka_2.13-3.2.3/monitor/kafka-2_0_0.yml" kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic charlie-test1 --from-beginning
并在prometheus的配置文件中添加consumer target,reload prometheus 配置即可发现consumer的指标,producer的指标采集与consumer类似。
global: scrape_interval: 15s scrape_configs: - job_name: "kafka-cluster" static_configs: - targets: ["localhost:7072"] - job_name: "kafka-consumer" static_configs: - targets: ["localhost:7073"]
官方给出了Jmx exporter的其他例子。
注:由于不同的配置Jmx exporter生成的kafka指标名称是不一样的,因此并没有统一的kafka grafana dashboard,最好还是自己绘制。
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