Jaeger / Opentracing与Kafka和docker组成

分类：编程问答

如何解决Jaeger / Opentracing与Kafka和docker组成

我只能找到在Kafka上使用opentracing / jaeger的旧示例和不完整示例。我想在本地运行一个示例作为概念验证-opentracing跨越到kafka。

我设法使其中的一些工作正常了，但是在jeager-query服务上，我一直得到：

"msg":"Failed to init storage factory","error":"kafka: client has run out of available brokers to talk to (Is your cluster reachable?)"

我不确定是否也需要使用某种存储方式，例如cassandra？

version: '3.8'

services:
  
  zookeeper:
    image: confluentinc/cp-zookeeper
    networks:
      - kafka-net
    container_name: zookeeper
    environment:
        - ZOOKEEPER_CLIENT_PORT=2181
    ports:
        - 2181:2181

  kafka:
    image: confluentinc/cp-kafka
    networks:
      - kafka-net
    container_name: kafka
    environment:
        - KAFKA_ZOOKEEPER_CONNECT=zookeeper:2181
        - KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR=1
        - ALLOW_PLAINTEXT_LISTENER=yes
        - KAFKA_LISTENERS-INTERNAL://kafka:29092,EXTERNAL://localhost:9092
        - KAFKA_ADVERTISED=INTERNAL://kafka:29092,EXTERNAL://localhost:9092
        - KAFKA_ADVERTISED_LISTENERS=INTERNAL://kafka:29092,EXTERNAL://localhost:9092
        - KAFKA_LISTENER_SECURITY_PROTOCOL_MAP=INTERNAL:PLAINTEXT,EXTERNAL:PLAINTEXT
        - KAFKA_INTER_BROKER_LISTENER_NAME=INTERNAL
    ports:
        - 9092:9092
    depends_on:
        - zookeeper
    restart: on-failure
  
  jaeger-collector:
    image: jaegertracing/jaeger-collector
    container_name: jaeger-collector
    networks:
      - kafka-net
    ports:
      - "14250:14250"
      # - "14267:14267"
      - "14268:14268" # HTTP collector port to receive spans
      - "14269:14269" # HTTP health check port
    restart: on-failure
    environment:
      LOG_LEVEL: "debug"
      SPAN_STORAGE_TYPE: "kafka"
      KAFKA_TOPIC: "somekafkatag"
      KAFKA_BROKERS: "kafka:9092"
      KAFKA_PRODUCER_BROKERS: "kafka:29092"

  jaeger-agent:
    image: jaegertracing/jaeger-agent
    container_name: jaeger-agent
    networks:
      - kafka-net
    command: ["--reporter.grpc.host-port=jaeger-collector:14250"]
    ports:
      - "5775:5775/udp"
      - "6831:6831/udp"
      - "6832:6832/udp"
      - "5778:5778"
    environment:
      LOG_LEVEL: "debug"
      SPAN_STORAGE_TYPE: "kafka"
    restart: on-failure
    depends_on:
      - jaeger-collector

  jaeger-ingester:
    image: jaegertracing/jaeger-ingester
    container_name: jaeger-ingester
    networks:
      - kafka-net
    ports:
      - "14270:14270" # HTTP health check port: http://localhost:14270/
      - "14271:14271" # Metrics port: http://localhost:14271/metrics
    restart: on-failure
    command: ["--kafka.producer.brokers=kafka:9092"]
    environment:
      LOG_LEVEL: "debug"
      INGESTER_PARALLELISM: "1"
      INGESTER_DEADLOCKINTERVAL: "0ms"
      SPAN_STORAGE_TYPE: "kafka"
      KAFKA_CONSUMER_BROKERS: "kafka:9092"
      METRICS_BACKEND: "expvar"
      KAFKA_BROKERS: "kafka:29092"

  jaeger-query:
    image: jaegertracing/jaeger-query
    container_name: jaeger-query
    networks:
      - kafka-net
    ports:
      - "16686:16686" # Jaeger UI port
      - "16687:16687" # HTTP health check port: http://localhost:16687/
    restart: on-failure
    environment:
      LOG_LEVEL: "debug"
      SPAN_STORAGE_TYPE: "kafka"
      KAFKA_CONSUMER_BROKERS: "kafka:9092"
      KAFKA_BROKERS: "kafka:29092"

networks:
  kafka-net:
    driver: bridge

解决方法

您可以看到jaeger查询配置包括：SPAN_STORAGE_TYPE：“ kafka”

该错误表明jaeger-query用于在Kafka中存储跨度的kafka客户端实际上无法到达Kafka，因此jaeger存储工厂无法初始化。

这可能是因为Kafka无法启动（您检查了吗）？或者您的docker中的网络配置有误。

,

我缺少很多信息。我设法使其正常工作：

version: '3.8'

services:
  
  zookeeper:
    image: confluentinc/cp-zookeeper
    networks:
      - kafka-net
    container_name: zookeeper
    environment:
        ZOOKEEPER_CLIENT_PORT: 2181
    ports:
        - 2181:2181

  cassandra:
    hostname: cassandra
    image: cassandra
    networks:
      - kafka-net
    environment:
      MAX_HEAP_SIZE: 1G
      HEAP_NEWSIZE: 256M
    ports:
     - "9042:9042"

  cassandra-schema:
    image: jaegertracing/jaeger-cassandra-schema
    networks:
      - kafka-net
    depends_on:
      - cassandra

  kafka:
    image: confluentinc/cp-kafka
    networks:
      - kafka-net
    container_name: kafka
    environment:
        KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
        KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
        ALLOW_PLAINTEXT_LISTENER: "yes"
        KAFKA_LISTENERS-INTERNAL: //kafka:29092,EXTERNAL://localhost:9092
        KAFKA_ADVERTISED: INTERNAL://kafka:29092,EXTERNAL://localhost:9092
        KAFKA_ADVERTISED_LISTENERS: INTERNAL://kafka:29092,EXTERNAL://localhost:9092
        KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: INTERNAL:PLAINTEXT,EXTERNAL:PLAINTEXT
        KAFKA_INTER_BROKER_LISTENER_NAME: INTERNAL
    ports:
        - 9092:9092
        - 29092:29092
    depends_on:
        - zookeeper
    restart: on-failure
  
  jaeger-collector:
    image: jaegertracing/jaeger-collector
    container_name: jaeger-collector
    networks:
      - kafka-net
    ports:
      - "14250:14250"
      - "14267:14267"
      - "14268:14268" # HTTP collector port to receive spans
      - "14269:14269" # HTTP health check port
    restart: on-failure
    environment:
      LOG_LEVEL: "debug"
      SPAN_STORAGE_TYPE: "kafka"
      KAFKA_BROKERS: "kafka:9092"
      KAFKA_PRODUCER_BROKERS: "kafka:29092"

  jaeger-agent:
    image: jaegertracing/jaeger-agent
    container_name: jaeger-agent
    networks:
      - kafka-net
    command: ["--reporter.grpc.host-port=jaeger-collector:14250"]
    ports:
      - "5775:5775/udp"
      - "6831:6831/udp"
      - "6832:6832/udp"
      - "5778:5778"
    environment:
      LOG_LEVEL: "debug"
      SPAN_STORAGE_TYPE: "kafka"
    restart: on-failure
    depends_on:
      - jaeger-collector

  jaeger-ingester:
    image: jaegertracing/jaeger-ingester
    container_name: jaeger-ingester
    networks:
      - kafka-net
    ports:
      - "14270:14270" # HTTP health check port: http://localhost:14270/
      - "14271:14271" # Metrics port: http://localhost:14270/metrics
    restart: on-failure
    environment:
      LOG_LEVEL: debug
      INGESTER_PARALLELISM: 1
      INGESTER_DEADLOCKINTERVAL: ms
      SPAN_STORAGE_TYPE: cassandra
      CASSANDRA_SERVERS: cassandra
      CASSANDRA_KEYSPACE: jaeger_v1_dc1
      METRICS_BACKEND: expvar
      KAFKA_CONSUMER_BROKERS: kafka:29092
      KAFKA_CONSUMER_TOPIC: jaeger-spans
    depends_on:
      - cassandra-schema

  jaeger-query:
    image: jaegertracing/jaeger-query
    container_name: jaeger-query
    networks:
      - kafka-net
    ports:
      - "16686:16686" # Jaeger UI port
      - "16687:16687" # HTTP health check port: http://localhost:16687/
    restart: on-failure
    depends_on:
      - cassandra-schema
    environment:
      LOG_LEVEL: debug
      SPAN_STORAGE_TYPE: cassandra
      CASSANDRA_SERVERS: cassandra
      CASSANDRA_KEYSPACE: jaeger_v1_dc1
      JAEGER_ENDPOINT: http://jaeger-collector:14268/api/traces

networks:
  kafka-net:
    driver: bridge
,

Jaeger 与 kafka 合而为一，并为 kafka-connect 提供跟踪拦截器

version: '3'

services:
  jaeger:
    image: jaegertracing/all-in-one:latest
    hostname: jaeger
    container_name: jaeger
    restart: always
    environment:
      - COLLECTOR_ZIPKIN_HTTP_PORT=9411
      - POSTGRES_PASSWORD=password
      - POSTGRES_DB=nextcloud
    ports:
      - 5775:5775/udp
      - 6831:6831/udp
      - 6832:6832/udp
      - 5778:5778 
      - 16686:16686
      - 14268:14268
      - 14250:14250
      - 9411:9411

  zookeeper:
    image: confluentinc/cp-zookeeper:6.1.0
    hostname: zookeeper
    container_name: zookeeper
    ports:
      - "2181:2181"
    environment:
      ZOOKEEPER_CLIENT_PORT: 2181
      ZOOKEEPER_TICK_TIME: 2000

  broker:
    image: confluentinc/cp-server:6.1.0
    hostname: broker
    container_name: broker
    depends_on:
      - zookeeper
      - jaeger
    ports:
      - "9092:9092"
      - "9101:9101"
    environment:
      KAFKA_BROKER_ID: 1
      KAFKA_ZOOKEEPER_CONNECT: 'zookeeper:2181'
      KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: PLAINTEXT:PLAINTEXT,PLAINTEXT_HOST:PLAINTEXT
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://broker:29092,PLAINTEXT_HOST://localhost:9092
      KAFKA_METRIC_REPORTERS: io.confluent.metrics.reporter.ConfluentMetricsReporter
      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
      KAFKA_GROUP_INITIAL_REBALANCE_DELAY_MS: 0
      KAFKA_CONFLUENT_LICENSE_TOPIC_REPLICATION_FACTOR: 1
      KAFKA_CONFLUENT_BALANCER_TOPIC_REPLICATION_FACTOR: 1
      KAFKA_TRANSACTION_STATE_LOG_MIN_ISR: 1
      KAFKA_TRANSACTION_STATE_LOG_REPLICATION_FACTOR: 1
      KAFKA_JMX_PORT: 9101
      KAFKA_JMX_HOSTNAME: localhost
      KAFKA_CONFLUENT_SCHEMA_REGISTRY_URL: http://schema-registry:8081
      CONFLUENT_METRICS_REPORTER_BOOTSTRAP_SERVERS: broker:29092
      CONFLUENT_METRICS_REPORTER_TOPIC_REPLICAS: 1
      CONFLUENT_METRICS_ENABLE: 'true'
      CONFLUENT_SUPPORT_CUSTOMER_ID: 'anonymous'

  schema-registry:
    image: confluentinc/cp-schema-registry:6.1.0
    hostname: schema-registry
    container_name: schema-registry
    depends_on:
      - broker
    ports:
      - "8081:8081"
    environment:
      SCHEMA_REGISTRY_HOST_NAME: schema-registry
      SCHEMA_REGISTRY_KAFKASTORE_BOOTSTRAP_SERVERS: 'broker:29092'
      SCHEMA_REGISTRY_LISTENERS: http://0.0.0.0:8081

  connect:
    image: cnfldemos/kafka-connect-datagen:0.4.0-6.1.0
    hostname: connect
    container_name: connect
    depends_on:
      - broker
      - schema-registry
      - jaeger
    ports:
      - "8083:8083"
    environment:
      CONNECT_BOOTSTRAP_SERVERS: 'broker:29092'
      CONNECT_REST_ADVERTISED_HOST_NAME: connect
      CONNECT_REST_PORT: 8083
      CONNECT_GROUP_ID: compose-connect-group
      CONNECT_CONFIG_STORAGE_TOPIC: docker-connect-configs
      CONNECT_CONFIG_STORAGE_REPLICATION_FACTOR: 1
      CONNECT_OFFSET_FLUSH_INTERVAL_MS: 10000
      CONNECT_OFFSET_STORAGE_TOPIC: docker-connect-offsets
      CONNECT_OFFSET_STORAGE_REPLICATION_FACTOR: 1
      CONNECT_STATUS_STORAGE_TOPIC: docker-connect-status
      CONNECT_STATUS_STORAGE_REPLICATION_FACTOR: 1
      CONNECT_KEY_CONVERTER: org.apache.kafka.connect.storage.StringConverter
      CONNECT_VALUE_CONVERTER: io.confluent.connect.avro.AvroConverter
      CONNECT_VALUE_CONVERTER_SCHEMA_REGISTRY_URL: http://schema-registry:8081
      # CLASSPATH required due to CC-2422
      CLASSPATH: /usr/share/java/*
      CONNECT_PRODUCER_INTERCEPTOR_CLASSES: "globaltracer.CustomProducerInterceptor"
      CONNECT_CONSUMER_INTERCEPTOR_CLASSES: "globaltracer.CustomConsumerInterceptor"
      CONNECT_PLUGIN_PATH: "/usr/share/java,/usr/share/confluent-hub-components,/usr/share/java/kafka"
      CONNECT_LOG4J_LOGGERS: org.apache.zookeeper=ERROR,org.I0Itec.zkclient=ERROR,org.reflections=ERROR
      JAEGER_SERVICE_NAME: kafka-connect
      JAEGER_AGENT_HOST: jaeger
      JAEGER_AGENT_PORT: 6831
      JAEGER_SAMPLER_TYPE: const
      JAEGER_SAMPLER_PARAM: 1
      JAEGER_REPORTER_LOG_SPANS: 'true'


  control-center:
    image: confluentinc/cp-enterprise-control-center:6.1.0
    hostname: control-center
    container_name: control-center
    depends_on:
      - broker
      - schema-registry
      - connect
      - ksqldb-server
    ports:
      - "9021:9021"
    environment:
      CONTROL_CENTER_BOOTSTRAP_SERVERS: 'broker:29092'
      CONTROL_CENTER_CONNECT_CLUSTER: 'connect:8083'
      CONTROL_CENTER_KSQL_KSQLDB1_URL: "http://ksqldb-server:8088"
      CONTROL_CENTER_KSQL_KSQLDB1_ADVERTISED_URL: "http://localhost:8088"
      CONTROL_CENTER_SCHEMA_REGISTRY_URL: "http://schema-registry:8081"
      CONTROL_CENTER_REPLICATION_FACTOR: 1
      CONTROL_CENTER_INTERNAL_TOPICS_PARTITIONS: 1
      CONTROL_CENTER_MONITORING_INTERCEPTOR_TOPIC_PARTITIONS: 1
      CONFLUENT_METRICS_TOPIC_REPLICATION: 1
      PORT: 9021

  ksqldb-server:
    image: confluentinc/cp-ksqldb-server:6.1.0
    hostname: ksqldb-server
    container_name: ksqldb-server
    depends_on:
      - broker
      - connect
    ports:
      - "8088:8088"
    environment:
      KSQL_CONFIG_DIR: "/etc/ksql"
      KSQL_BOOTSTRAP_SERVERS: "broker:29092"
      KSQL_HOST_NAME: ksqldb-server
      KSQL_LISTENERS: "http://0.0.0.0:8088"
      KSQL_CACHE_MAX_BYTES_BUFFERING: 0
      KSQL_KSQL_SCHEMA_REGISTRY_URL: "http://schema-registry:8081"
      KSQL_PRODUCER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringProducerInterceptor"
      KSQL_CONSUMER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringConsumerInterceptor"
      KSQL_KSQL_CONNECT_URL: "http://connect:8083"
      KSQL_KSQL_LOGGING_PROCESSING_TOPIC_REPLICATION_FACTOR: 1
      KSQL_KSQL_LOGGING_PROCESSING_TOPIC_AUTO_CREATE: 'true'
      KSQL_KSQL_LOGGING_PROCESSING_STREAM_AUTO_CREATE: 'true'

  ksqldb-cli:
    image: confluentinc/cp-ksqldb-cli:6.1.0
    container_name: ksqldb-cli
    depends_on:
      - broker
      - connect
      - ksqldb-server
    entrypoint: /bin/sh
    tty: true

  ksql-datagen:
    image: confluentinc/ksqldb-examples:6.1.0
    hostname: ksql-datagen
    container_name: ksql-datagen
    depends_on:
      - ksqldb-server
      - broker
      - schema-registry
      - connect
    command: "bash -c 'echo Waiting for Kafka to be ready... && \
                       cub kafka-ready -b broker:29092 1 40 && \
                       echo Waiting for Confluent Schema Registry to be ready... && \
                       cub sr-ready schema-registry 8081 40 && \
                       echo Waiting a few seconds for topic creation to finish... && \
                       sleep 11 && \
                       tail -f /dev/null'"
    environment:
      KSQL_CONFIG_DIR: "/etc/ksql"
      STREAMS_BOOTSTRAP_SERVERS: broker:29092
      STREAMS_SCHEMA_REGISTRY_HOST: schema-registry
      STREAMS_SCHEMA_REGISTRY_PORT: 8081

  rest-proxy:
    image: confluentinc/cp-kafka-rest:6.1.0
    depends_on:
      - broker
      - schema-registry
    ports:
      - 8082:8082
    hostname: rest-proxy
    container_name: rest-proxy
    environment:
      KAFKA_REST_HOST_NAME: rest-proxy
      KAFKA_REST_BOOTSTRAP_SERVERS: 'broker:29092'
      KAFKA_REST_LISTENERS: "http://0.0.0.0:8082"
      KAFKA_REST_SCHEMA_REGISTRY_URL: 'http://schema-registry:8081'

版权声明：本文内容由互联网用户自发贡献，该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务，不拥有所有权，不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容， 请发送邮件至 dio@foxmail.com 举报，一经查实，本站将立刻删除。

相关推荐

matplotlib报错：AttributeError: module 'backend_interagg' has no attribute 'FigureCanvas'. Did you mean: 'FigureCanvasAgg'?
使用本地python环境可以成功执行 import pandas as pd import matplotlib.pyplot as plt # 设置字体 plt.rcParams['font.sans-serif'] = ['SimHei'] # 能正确显示负号 p
gitlab登录失败，报错：This challenge page was accidentally cached by an intermediary and is no longer available.
设置时间 控制面板
后端开发常见错误
错误1：Request method ‘DELETE‘ not supported 错误还原：controller层有一个接口，访问该接口时报错：Request method ‘DELETE‘ not supported 错误原因：没有接收到前端传入的参数，修改为如下 参考 错误2：cannot r
docker常见错误
错误1：启动docker镜像时报错：Error response from daemon: driver failed programming external connectivity on endpoint quirky_allen 解决方法：重启docker -> systemctl r
idea常见错误
错误1：private field ‘xxx‘ is never assigned 按Altʾnter快捷键，选择第2项 参考：https://blog.csdn.net/shi_hong_fei_hei/article/details/88814070 错误2：启动时报错，不能找到主启动类 #
pip安装依赖失败
报错如下，通过源不能下载，最后警告pip需升级版本 Requirement already satisfied: pip in c:\users\ychen\appdata\local\programs\python\python310\lib\site-packages (22.0.4) Coll
maven常见错误
错误1：maven打包报错 错误还原：使用maven打包项目时报错如下 [ERROR] Failed to execute goal org.apache.maven.plugins:maven-resources-plugin:3.2.0:resources (default-resources)
cloud项目中常见错误
错误1：服务调用时报错 服务消费者模块assess通过openFeign调用服务提供者模块hires 如下为服务提供者模块hires的控制层接口 @RestController @RequestMapping("/hires") public class FeignControl
springboot常见错误
错误1：运行项目后报如下错误 解决方案 报错2：Failed to execute goal org.apache.maven.plugins:maven-compiler-plugin:3.8.1:compile (default-compile) on project sb 解决方案：在pom.
springmvc拦截器中使用redisTemplate报空指针异常
参考 错误原因 过滤器或拦截器在生效时，redisTemplate还没有注入 解决方案：在注入容器时就生效 @Component //项目运行时就注入Spring容器 public class RedisBean { @Resource private RedisTemplate<String
vite报错：npm ERR! command C:WINDOWSsystem32cmd.exe /d /s /c C:UsersychenAppDataLocalTempnpx-dde1c848.cmd
使用vite构建项目报错 C:\Users\ychen\work>npm init @vitejs/app @vitejs/create-app is deprecated, use npm init vite instead C:\Users\ychen\AppData\Local\npm-
VM VirtualBox中安装centos时报错：设置基础软件仓库时出错
参考1 参考2 解决方案 # 点击安装源 协议选择 http:// 路径填写 mirrors.aliyun.com/centos/8.3.2011/BaseOS/x86_64/os URL类型 软件库URL 其他路径 # 版本 7 mirrors.aliyun.com/centos/7/os/x86
kafka常见问题
报错1 [root@slave1 data_mocker]# kafka-console-consumer.sh --bootstrap-server slave1:9092 --topic topic_db [2023-12-19 18:31:12,770] WARN [Consumer clie
hive常见问题
错误1 # 重写数据 hive (edu)> insert overwrite table dwd_trade_cart_add_inc > select data.id, > data.user_id, > data.course_id, > date_format(
装载数据时报错：Failed to execute spark task, with exception 'org.apache.hadoop.hive.ql.metadata.HiveException(Failed to create spark client.)'
错误1 hive (edu)> insert into huanhuan values(1,'haoge'); Query ID = root_20240110071417_fe1517ad-3607-41f4-bdcf-d00b98ac443e Total jobs = 1
flume常见问题
报错1：执行到如下就不执行了，没有显示Successfully registered new MBean. [root@slave1 bin]# /usr/local/software/flume-1.9.0/bin/flume-ng agent -n a1 -c /usr/local/softwa
hadoop集群常见错误
虚拟及没有启动任何服务器查看jps会显示jps，如果没有显示任何东西 [root@slave2 ~]# jps 9647 Jps 解决方案 # 进入/tmp查看 [root@slave1 dfs]# cd /tmp [root@slave1 tmp]# ll 总用量 48 drwxr-xr-x. 2
hive常见错误
报错1 hive> show databases; OK Failed with exception java.io.IOException:java.lang.RuntimeException: Error in configuring object Time taken: 0.474 se
Linux常见错误
报错1 [root@localhost ~]# vim -bash: vim: 未找到命令 安装vim yum -y install vim* # 查看是否安装成功 [root@hadoop01 hadoop]# rpm -qa |grep vim vim-X11-7.4.629-8.el7_9.x
使用sqoop一直卡在：mapreduce.Job: Running job: job_1703173956074_0001
修改hadoop配置 vi /usr/local/software/hadoop-2.9.2/etc/hadoop/yarn-site.xml # 添加如下 <configuration> <property> <name>yarn.nodemanager.res
pythonJavaScriptjavaHTMLPHPreactjsC#AndroidCSSNode.jssqlrpython-3.xMysqLjQueryc++pandasFlutterangularIOSdjangolinuxswifttypescript路由器JSON路由器设置无线路由器h3c华三华三路由器设置华三路由器电脑软件教程arraysdocker软件图文教程Cvue.jslaravelspring-boot