Docker安装kafka

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Docker安装kafka

2023-07-11 09:41| 来源: 网络整理| 查看: 265

1、拉取zookeeper镜像

kafka需要zookeeper管理,所以需要先安装zookeeper。

docker pull zookeeper:3.6

2、启动zookeeper容器

docker run -d --name zookeeper -p 2181:2181 -v /etc/localtime:/etc/localtime zookeeper:3.6

3、拉取kafka镜像

docker pull wurstmeister/kafka:2.12-2.5.0

[root@~]$docker pull wurstmeister/kafka:2.12-2.5.0 Trying to pull repository docker.io/wurstmeister/kafka ... 2.12-2.5.0: Pulling from docker.io/wurstmeister/kafka e7c96db7181b: Already exists f910a506b6cb: Pull complete b6abafe80f63: Pull complete 9daa71a3a025: Pull complete a4cad7b8f41a: Pull complete d77df92e7131: Pull complete Digest: sha256:ec8dfb24c643b73903905fdd2b7bbffe818891fdba968bd97c8a8057bd01f3c7 Status: Downloaded newer image for docker.io/wurstmeister/kafka:2.12-2.5.0 复制代码 4、启动kafka镜像 启动kafka镜像生成容器 ## docker run -d --name kafka -p 9002:9002 -e KAFKA_BROKER_ID=0 -e KAFKA_ZOOKEEPER_CONNECT=192.168.124.28:2181/kafka -e KAFKA_ADVERTISED_LISTENERS=PLAINTEXT://192.168.124.28:9002 -e KAFKA_LISTENERS=PLAINTEXT://0.0.0.0:9002 -v /etc/localtime:/etc/localtime wurstmeister/kafka:2.12-2.5.0 $ docker run -d --restart=always --log-driver json-file --log-opt max-size=100m --log-opt max-file=2 --name kafka -p 9002:9002 -e KAFKA_BROKER_ID=0 -e KAFKA_ZOOKEEPER_CONNECT=172.16.152.136:2181/kafka -e KAFKA_ADVERTISED_LISTENERS=PLAINTEXT://172.16.152.136:9002 -e KAFKA_LISTENERS=PLAINTEXT://0.0.0.0:9002 -v /etc/localtime:/etc/localtime wurstmeister/kafka:2.12-2.5.0 参数说明: -e KAFKA_BROKER_ID=0 在kafka集群中,每个kafka都有一个BROKER_ID来区分自己 -e KAFKA_ZOOKEEPER_CONNECT=192.168.124.28:2181/kafka 配置zookeeper管理kafka的路径192.168.124.28:2181/kafka -e KAFKA_ADVERTISED_LISTENERS=PLAINTEXT://192.168.124.28:9002 把kafka的地址端口注册给zookeeper,如果是远程访问要改成外网IP,类如Java程序访问出现无法连接。 -e KAFKA_LISTENERS=PLAINTEXT://0.0.0.0:9002 配置kafka的监听端口 -v /etc/localtime:/etc/localtime 容器时间同步虚拟机的时间 复制代码 4.1 、可以设置的环境变量 [2021-04-19 23:49:11,660] INFO KafkaConfig values: advertised.host.name = null advertised.listeners = PLAINTEXT://127.0.0.1:9092 advertised.port = null authorizer.class.name = auto.create.topics.enable = true auto.leader.rebalance.enable = true background.threads = 10 broker.id = 0 broker.id.generation.enable = true broker.rack = null compression.type = producer connections.max.idle.ms = 600000 controlled.shutdown.enable = true controlled.shutdown.max.retries = 3 controlled.shutdown.retry.backoff.ms = 5000 controller.socket.timeout.ms = 30000 create.topic.policy.class.name = null default.replication.factor = 1 delete.topic.enable = false fetch.purgatory.purge.interval.requests = 1000 group.max.session.timeout.ms = 300000 group.min.session.timeout.ms = 6000 host.name = inter.broker.listener.name = null inter.broker.protocol.version = 0.10.2-IV0 leader.imbalance.check.interval.seconds = 300 leader.imbalance.per.broker.percentage = 10 listener.security.protocol.map = SSL:SSL,SASL_PLAINTEXT:SASL_PLAINTEXT,TRACE:TRACE,SASL_SSL:SASL_SSL,PLAINTEXT:PLAINTEXT listeners = PLAINTEXT://0.0.0.0:9092 log.cleaner.backoff.ms = 15000 log.cleaner.dedupe.buffer.size = 134217728 log.cleaner.delete.retention.ms = 86400000 log.cleaner.enable = true log.cleaner.io.buffer.load.factor = 0.9 log.cleaner.io.buffer.size = 524288 log.cleaner.io.max.bytes.per.second = 1.7976931348623157E308 log.cleaner.min.cleanable.ratio = 0.5 log.cleaner.min.compaction.lag.ms = 0 log.cleaner.threads = 1 log.cleanup.policy = [delete] log.dir = /tmp/kafka-logs log.dirs = /kafka/kafka-logs-2bfafd8a90d1 log.flush.interval.messages = 9223372036854775807 log.flush.interval.ms = null log.flush.offset.checkpoint.interval.ms = 60000 log.flush.scheduler.interval.ms = 9223372036854775807 log.index.interval.bytes = 4096 log.index.size.max.bytes = 10485760 log.message.format.version = 0.10.2-IV0 log.message.timestamp.difference.max.ms = 9223372036854775807 log.message.timestamp.type = CreateTime log.preallocate = false log.retention.bytes = -1 log.retention.check.interval.ms = 300000 log.retention.hours = 168 log.retention.minutes = null log.retention.ms = null log.roll.hours = 168 log.roll.jitter.hours = 0 log.roll.jitter.ms = null log.roll.ms = null log.segment.bytes = 1073741824 log.segment.delete.delay.ms = 60000 max.connections.per.ip = 2147483647 max.connections.per.ip.overrides = message.max.bytes = 1000012 metric.reporters = [] metrics.num.samples = 2 metrics.recording.level = INFO metrics.sample.window.ms = 30000 min.insync.replicas = 1 num.io.threads = 8 num.network.threads = 3 num.partitions = 1 num.recovery.threads.per.data.dir = 1 num.replica.fetchers = 1 offsetadata.max.bytes = 4096 offsets.commit.required.acks = -1 offsets.commit.timeout.ms = 5000 offsets.load.buffer.size = 5242880 offsets.retention.check.interval.ms = 600000 offsets.retention.minutes = 1440 offsets.topic.compression.codec = 0 offsets.topic.num.partitions = 50 offsets.topic.replication.factor = 3 offsets.topic.segment.bytes = 104857600 port = 9092 principal.builder.class = class org.apache.kafka.common.security.auth.DefaultPrincipalBuilder producer.purgatory.purge.interval.requests = 1000 queued.max.requests = 500 quota.consumer.default = 9223372036854775807 quota.producer.default = 9223372036854775807 quota.window.num = 11 quota.window.size.seconds = 1 replica.fetch.backoff.ms = 1000 replica.fetch.max.bytes = 1048576 replica.fetch.min.bytes = 1 replica.fetch.response.max.bytes = 10485760 replica.fetch.wait.max.ms = 500 replica.high.watermark.checkpoint.interval.ms = 5000 replica.lag.time.max.ms = 10000 replica.socket.receive.buffer.bytes = 65536 replica.socket.timeout.ms = 30000 replication.quota.window.num = 11 replication.quota.window.size.seconds = 1 request.timeout.ms = 30000 reserved.broker.max.id = 1000 sasl.enabled.mechanisms = [GSSAPI] sasl.kerberos.kinit.cmd = /usr/bin/kinit sasl.kerberos.min.time.before.relogin = 60000 sasl.kerberos.principal.to.local.rules = [DEFAULT] sasl.kerberos.service.name = null sasl.kerberos.ticket.renew.jitter = 0.05 sasl.kerberos.ticket.renew.window.factor = 0.8 sasl.mechanism.inter.broker.protocol = GSSAPI security.inter.broker.protocol = PLAINTEXT socket.receive.buffer.bytes = 102400 socket.request.max.bytes = 104857600 socket.send.buffer.bytes = 102400 ssl.cipher.suites = null ssl.client.auth = none ssl.enabled.protocols = [TLSv1.2, TLSv1.1, TLSv1] ssl.endpoint.identification.algorithm = null ssl.key.password = null ssl.keymanager.algorithm = SunX509 ssl.keystore.location = null ssl.keystore.password = null ssl.keystore.type = JKS ssl.protocol = TLS ssl.provider = null ssl.secure.random.implementation = null ssl.trustmanager.algorithm = PKIX ssl.truststore.location = null ssl.truststore.password = null ssl.truststore.type = JKS unclean.leader.election.enable = true zookeeper.connect = 127.0.0.1:2181 zookeeper.connection.timeout.ms = 6000 zookeeper.session.timeout.ms = 6000 zookeeper.set.acl = false zookeeper.sync.time.ms = 2000 复制代码 5、zookeeper和kafka容器启动后的状态 [root@blog]$docker run -d --restart=always --log-driver json-file --log-opt max-size=100m --log-opt max-file=2 --name kafka -p 9002:9002 -e KAFKA_BROKER_ID=0 -e KAFKA_ZOOKEEPER_CONNECT=192.168.124.28:2181/kafka -e KAFKA_ADVERTISED_LISTENERS=PLAINTEXT://192.168.124.28:9002 -e KAFKA_LISTENERS=PLAINTEXT://0.0.0.0:9002 -v /etc/localtime:/etc/localtime wurstmeister/kafka:2.12-2.5.0 d8e3973e228c5c18229882b5a82ac05f976bd32c5e503332fd6ac4503276be43 [root@blog]$docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES d8e3973e228c wurstmeister/kafka:2.12-2.5.0 "start-kafka.sh" 8 seconds ago Up 7 seconds 0.0.0.0:9002->9002/tcp kafka 53f73b512f02 zookeeper:3.6 "/docker-entrypoin..." 34 minutes ago Up 34 minutes 2888/tcp, 3888/tcp, 0.0.0.0:2181->2181/tcp, 8080/tcp zookeeper 复制代码 6、验证kafka是否可用 6.1、进入镜像内

查看zookeeper中有关kafka的配置

docker exec -it 53f73b512f02 /bin/bash sh zkCli.sh -server 127.0.0.1:2181 [zk: 127.0.0.1:2181(CONNECTED) 7] ls / [zookeeper, kafka] [zk: 127.0.0.1:2181(CONNECTED) 8] ls /kafka [cluster, controller, controller_epoch, brokers, admin, isr_change_notification, consumers, config] [zk: 127.0.0.1:2181(CONNECTED) 9] 复制代码

进入kafka容器查看

[root@blog]$docker exec -it d8e3973e228c /bin/sh / # ps -ef PID USER TIME COMMAND 1 root 0:08 /usr/lib/jvm/java-1.8-openjdk/jre/bin/java -Xmx1G -Xms1G -server -XX:+UseG1GC -XX:MaxGCPauseMillis=20 -XX:InitiatingHeapOccupancyPercent=35 -XX:+ExplicitGCInvokesConcurrent -XX:MaxIn 502 root 0:00 /bin/sh 506 root 0:00 ps -ef / # 复制代码 生产者 bash-4.4# ./kafka-console-producer.sh --broker-listrver localhost:9092 --topic sun 123456789 abcdefgs 消费者 bash-4.4# ./kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic sun --from-beginning 123456789 abcdefgs 复制代码 参考

Docker安装kafka docker安装kafka 在使用Kafka过程中遇到的错误 Zookeeper 教程 ZooKeeper 教程 Kafka可以不依赖ZooKeeper独立使用吗? kafka 中 zookeeper 具体是做什么的?



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