Kubernetes 搭建 Kafka 和 Zookeeper 集群（完整教程）

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本文原文链接：https://blog.csdn.net/xzk9381/article/details/109535377，转载请注明出处。如有发现文章中的任何问题，欢迎评论区留言。

本文完整介绍了在K8S中搭建 Kafka 和 Zookeeper 集群，并且通过修改镜像，实现扩容 Pod 时自动扩展 brokerID 和 zookeeper 集群信息，无需手动干预。

一、服务版本信息：

Kafka：v2.13-2.6.0
Zookeeper：v3.6.2
Kubernetes：v1.18.4

二、制作 Zookeeper 镜像

Zookeeper 使用的是 docker hub 中提供的官方镜像，使用如下命令可以直接下载：

docker pull zookeeper:3.6.2

由于官方镜像中使用的启动脚本不适用于我们公司内部使用，所以对其中的 docker-entrypoint.sh 脚本和 Dockerfile 进行了一些修改。

1. 修改 docker-entrypoint.sh 脚本

修改后的 docker-entrypoint.sh 脚本如下（原脚本内容可参考：https://github.com/31z4/zookeeper-docker/tree/2373492c6f8e74d3c1167726b19babe8ac7055dd/3.6.2）：

#!/bin/bashset -eHOST=$(hostname -s)
DOMAIN=$(hostname -d)
CLIENT_PORT=2181
SERVER_PORT=2888
ELECTION_PORT=3888function createConfig(){if [[ ! -f "$ZOO_CONF_DIR/${HOST}/zoo.cfg" ]]; thenmkdir -p $ZOO_CONF_DIR/${HOST}mkdir -p $ZOO_DATA_DIR/${HOST}mkdir -p $ZOO_DATA_LOG_DIR/${HOST}CONFIG="$ZOO_CONF_DIR/${HOST}/zoo.cfg"{echo "dataDir=$ZOO_DATA_DIR/${HOST}"echo "dataLogDir=$ZOO_DATA_LOG_DIR/${HOST}"echo "tickTime=$ZOO_TICK_TIME"echo "initLimit=$ZOO_INIT_LIMIT"echo "syncLimit=$ZOO_SYNC_LIMIT"echo "autopurge.snapRetainCount=$ZOO_AUTOPURGE_SNAPRETAINCOUNT"echo "autopurge.purgeInterval=$ZOO_AUTOPURGE_PURGEINTERVAL"echo "maxClientCnxns=$ZOO_MAX_CLIENT_CNXNS"echo "standaloneEnabled=$ZOO_STANDALONE_ENABLED"echo "admin.enableServer=$ZOO_ADMINSERVER_ENABLED"} >> ${CONFIG}if [[ -n $ZOO_4LW_COMMANDS_WHITELIST ]]; thenecho "4lw.commands.whitelist=$ZOO_4LW_COMMANDS_WHITELIST" >> ${CONFIG}fifor cfg_extra_entry in $ZOO_CFG_EXTRA; doecho "$cfg_extra_entry" >> ${CONFIG}donefi
}function getHostNum(){if [[ $HOST =~ (.*)-([0-9]+)$ ]]; thenNAME=${BASH_REMATCH[1]}ORD=${BASH_REMATCH[2]}elseecho "Fialed to parse name and ordinal of Pod"exit 1fi
}function createID(){ID_FILE="$ZOO_DATA_DIR/${HOST}/myid"MY_ID=$((ORD+1))echo $MY_ID > $ID_FILE
}function addServer(){for (( i=1; i<=$SERVERS; i++ ))dos="server.$i=$NAME-$((i-1)).$DOMAIN:$SERVER_PORT:$ELECTION_PORT;$CLIENT_PORT"[[ $(grep "$s" $ZOO_CONF_DIR/${HOST}/zoo.cfg) ]] || echo $s >> $ZOO_CONF_DIR/${HOST}/zoo.cfgdone
}function userPerm(){if [[ "$1" = 'zkServer.sh' && "$(id -u)" = '0' ]]; thenchown -R zookeeper "$ZOO_DATA_DIR" "$ZOO_DATA_LOG_DIR" "$ZOO_LOG_DIR" "$ZOO_CONF_DIR"exec gosu zookeeper "$0" "$@"fi
}function startZK(){/apache-zookeeper-3.6.2-bin/bin/zkServer.sh --config "$ZOO_CONF_DIR/$(hostname -s)" start-foreground
}createConfig
getHostNum
createID
addServer
userPerm
startZK

2. 修改 Dockerfile

我这里对于 Dockerfile 的改动很小，只是将原来的 ENTRYPOINT 配置项注释掉，CMD 配置项更改为由 docker-entrypoint.sh 启动：

FROM openjdk:11-jre-slimENV ZOO_CONF_DIR=/conf \ZOO_DATA_DIR=/data \ZOO_DATA_LOG_DIR=/datalog \ZOO_LOG_DIR=/logs \ZOO_TICK_TIME=2000 \ZOO_INIT_LIMIT=5 \ZOO_SYNC_LIMIT=2 \ZOO_AUTOPURGE_PURGEINTERVAL=0 \ZOO_AUTOPURGE_SNAPRETAINCOUNT=3 \ZOO_MAX_CLIENT_CNXNS=60 \ZOO_STANDALONE_ENABLED=true \ZOO_ADMINSERVER_ENABLED=true# Add a user with an explicit UID/GID and create necessary directories
RUN set -eux; \groupadd -r zookeeper --gid=1000; \useradd -r -g zookeeper --uid=1000 zookeeper; \mkdir -p "$ZOO_DATA_LOG_DIR" "$ZOO_DATA_DIR" "$ZOO_CONF_DIR" "$ZOO_LOG_DIR"; \chown zookeeper:zookeeper "$ZOO_DATA_LOG_DIR" "$ZOO_DATA_DIR" "$ZOO_CONF_DIR" "$ZOO_LOG_DIR"# Install required packges
RUN set -eux; \apt-get update; \DEBIAN_FRONTEND=noninteractive \apt-get install -y --no-install-recommends \ca-certificates \dirmngr \gosu \gnupg \netcat \wget; \rm -rf /var/lib/apt/lists/*; \
# Verify that gosu binary worksgosu nobody trueARG GPG_KEY=BBE7232D7991050B54C8EA0ADC08637CA615D22C
ARG SHORT_DISTRO_NAME=zookeeper-3.6.2
ARG DISTRO_NAME=apache-zookeeper-3.6.2-bin# Download Apache Zookeeper, verify its PGP signature, untar and clean up
RUN set -eux; \ddist() { \local f="$1"; shift; \local distFile="$1"; shift; \local success=; \local distUrl=; \for distUrl in \'https://www.apache.org/dyn/closer.cgi?action=download&filename=' \https://www-us.apache.org/dist/ \https://www.apache.org/dist/ \https://archive.apache.org/dist/ \; do \if wget -q -O "$f" "$distUrl$distFile" && [ -s "$f" ]; then \success=1; \break; \fi; \done; \[ -n "$success" ]; \}; \ddist "$DISTRO_NAME.tar.gz" "zookeeper/$SHORT_DISTRO_NAME/$DISTRO_NAME.tar.gz"; \ddist "$DISTRO_NAME.tar.gz.asc" "zookeeper/$SHORT_DISTRO_NAME/$DISTRO_NAME.tar.gz.asc"; \export GNUPGHOME="$(mktemp -d)"; \gpg --keyserver ha.pool.sks-keyservers.net --recv-key "$GPG_KEY" || \gpg --keyserver pgp.mit.edu --recv-keys "$GPG_KEY" || \gpg --keyserver keyserver.pgp.com --recv-keys "$GPG_KEY"; \gpg --batch --verify "$DISTRO_NAME.tar.gz.asc" "$DISTRO_NAME.tar.gz"; \tar -zxf "$DISTRO_NAME.tar.gz"; \mv "$DISTRO_NAME/conf/"* "$ZOO_CONF_DIR"; \rm -rf "$GNUPGHOME" "$DISTRO_NAME.tar.gz" "$DISTRO_NAME.tar.gz.asc"; \chown -R zookeeper:zookeeper "/$DISTRO_NAME"WORKDIR $DISTRO_NAME
VOLUME ["$ZOO_DATA_DIR", "$ZOO_DATA_LOG_DIR", "$ZOO_LOG_DIR"]EXPOSE 2181 2888 3888 8080ENV PATH=$PATH:/$DISTRO_NAME/bin \ZOOCFGDIR=$ZOO_CONF_DIRCOPY docker-entrypoint.sh /# 将 ENTRYPOINT 内容注释
# ENTRYPOINT ["/docker-entrypoint.sh"]# 将原 CMD 注释，并新增下面的配置
# CMD ["zkServer.sh", "start-foreground"]
CMD ["/docker-entrypoint.sh"]

3. 打包镜像并上传私服

在 Dockerfile 的根目录下，使用如下命令打包镜像，并修改 tag

docker build --tag 10.16.12.204/ops/zookeeper:custom-v3.6.2 -f Dockerfile .

上传至镜像仓库：

docker push 10.16.12.204/ops/zookeeper:custom-v3.6.2

三、制作 Kafka 镜像

制作 Kafka 镜像是基于 docker hub 中 wurstmeister 制作的镜像，原镜像文件可使用如下命令下载：

docker pull wurstmeister/kafka:2.13-2.6.0

这个镜像中使用 start-kafka.sh 脚本来初始化 Kafka 的配置并启动，但是其中有些内容不符合在 K8S 中部署的需求，所以对该脚本进行修改。

1. 修改 start-kafka.sh 脚本

原始的 start-kafka.sh 脚本内容可到 https://github.com/wurstmeister/kafka-docker 中查看。修改后的内容如下：

#!/bin/bash -e# Allow specific kafka versions to perform any unique bootstrap operations
OVERRIDE_FILE="/opt/overrides/${KAFKA_VERSION}.sh"
if [[ -x "$OVERRIDE_FILE" ]]; thenecho "Executing override file $OVERRIDE_FILE"eval "$OVERRIDE_FILE"
fi# Store original IFS config, so we can restore it at various stages
ORIG_IFS=$IFSif [[ -z "$KAFKA_ZOOKEEPER_CONNECT" ]]; thenecho "ERROR: missing mandatory config: KAFKA_ZOOKEEPER_CONNECT"exit 1
fiif [[ -z "$KAFKA_PORT" ]]; thenexport KAFKA_PORT=9092
ficreate-topics.sh &
unset KAFKA_CREATE_TOPICSif [[ -z "$KAFKA_BROKER_ID" ]]; thenif [[ -n "$BROKER_ID_COMMAND" ]]; thenKAFKA_BROKER_ID=$(eval "$BROKER_ID_COMMAND")export KAFKA_BROKER_IDelseexport KAFKA_BROKER_ID=-1fi
fiif [[ -z "$KAFKA_LOG_DIRS" ]]; thenexport KAFKA_LOG_DIRS="/kafka/kafka-logs-$HOSTNAME"
fiif [[ -n "$KAFKA_HEAP_OPTS" ]]; thensed -r -i 's/(export KAFKA_HEAP_OPTS)="(.*)"/\1="'"$KAFKA_HEAP_OPTS"'"/g' "$KAFKA_HOME/bin/kafka-server-start.sh"unset KAFKA_HEAP_OPTS
fiif [[ -n "$HOSTNAME_COMMAND" ]]; thenHOSTNAME_VALUE=$(eval "$HOSTNAME_COMMAND")# Replace any occurences of _{HOSTNAME_COMMAND} with the valueIFS=$'\n'for VAR in $(env); doif [[ $VAR =~ ^KAFKA_ && "$VAR" =~ "_{HOSTNAME_COMMAND}" ]]; theneval "export ${VAR//_\{HOSTNAME_COMMAND\}/$HOSTNAME_VALUE}"fidoneIFS=$ORIG_IFS
fiif [[ -n "$PORT_COMMAND" ]]; thenPORT_VALUE=$(eval "$PORT_COMMAND")# Replace any occurences of _{PORT_COMMAND} with the valueIFS=$'\n'for VAR in $(env); doif [[ $VAR =~ ^KAFKA_ && "$VAR" =~ "_{PORT_COMMAND}" ]]; theneval "export ${VAR//_\{PORT_COMMAND\}/$PORT_VALUE}"fidoneIFS=$ORIG_IFS
fiif [[ -n "$RACK_COMMAND" && -z "$KAFKA_BROKER_RACK" ]]; thenKAFKA_BROKER_RACK=$(eval "$RACK_COMMAND")export KAFKA_BROKER_RACK
fiif [[ -z "$KAFKA_ADVERTISED_HOST_NAME$KAFKA_LISTENERS" ]]; thenif [[ -n "$KAFKA_ADVERTISED_LISTENERS" ]]; thenecho "ERROR: Missing environment variable KAFKA_LISTENERS. Must be specified when using KAFKA_ADVERTISED_LISTENERS"exit 1elif [[ -z "$HOSTNAME_VALUE" ]]; thenecho "ERROR: No listener or advertised hostname configuration provided in environment."echo "       Please define KAFKA_LISTENERS / (deprecated) KAFKA_ADVERTISED_HOST_NAME"exit 1fiexport KAFKA_ADVERTISED_HOST_NAME="$HOSTNAME_VALUE"
fiecho "" >> "$KAFKA_HOME/config/server.properties"(function updateConfig() {key=$1value=$2file=$3echo "[Configuring] '$key' in '$file'"if grep -E -q "^#?$key=" "$file"; thensed -r -i "s@^#?$key=.*@$key=$value@g" "$file" elseecho "$key=$value" >> "$file"fi}# KAFKA_VERSION + KAFKA_HOME + grep -rohe KAFKA[A-Z0-0_]* /opt/kafka/bin | sort | uniq | tr '\n' '|'EXCLUSIONS="|KAFKA_VERSION|KAFKA_HOME|KAFKA_DEBUG|KAFKA_GC_LOG_OPTS|KAFKA_HEAP_OPTS|KAFKA_JMX_OPTS|KAFKA_JVM_PERFORMANCE_OPTS|KAFKA_LOG|KAFKA_OPTS|"IFS=$'\n'for VAR in $(env)doenv_var=$(echo "$VAR" | cut -d= -f1)if [[ "$EXCLUSIONS" = *"|$env_var|"* ]]; thenecho "Excluding $env_var from broker config"continuefiif [[ $env_var =~ ^KAFKA_ ]]; thenkafka_name=$(echo "$env_var" | cut -d_ -f2- | tr '[:upper:]' '[:lower:]' | tr _ .)updateConfig "$kafka_name" "${!env_var}" "$KAFKA_HOME/config/server.properties"fiif [[ $env_var =~ ^LOG4J_ ]]; thenlog4j_name=$(echo "$env_var" | tr '[:upper:]' '[:lower:]' | tr _ .)updateConfig "$log4j_name" "${!env_var}" "$KAFKA_HOME/config/log4j.properties"fidonePODNAME=$(hostname -s | awk -F'-' 'OFS="-"{$NF="";print}' |sed 's/-$//g')for ((i=0;i<$SERVERS;i++))doBOOTSTRAP_SERVERS+="$PODNAME-$i.$(hostname -d):${KAFKA_PORT},"doneBOOTSTRAP_SERVERS=${BOOTSTRAP_SERVERS%?}echo ${BOOTSTRAP_SERVERS} > /opt/log.txtsed -i "s/bootstrap.servers.*$/bootstrap.servers=$BOOTSTRAP_SERVERS/g" $KAFKA_HOME/config/consumer.propertiessed -i "s/bootstrap.servers.*$/bootstrap.servers=$BOOTSTRAP_SERVERS/g" $KAFKA_HOME/config/producer.properties
)if [[ -n "$CUSTOM_INIT_SCRIPT" ]] ; theneval "$CUSTOM_INIT_SCRIPT"
fiexec "$KAFKA_HOME/bin/kafka-server-start.sh" "$KAFKA_HOME/config/server.properties"

2. 修改 Dockerfile

Dockerfile 未做其他修改，只是将修改后的 start-kafka.sh 脚本添加到镜像中，并使用 bash 环境来执行脚本（否则会有些命令无法执行）：

FROM wurstmeister/kafka:2.13-2.6.0ADD start-kafka.sh /CMD ["bash","start-kafka.sh"]

3. 打包镜像并上传私服

使用如下命令重新打包镜像并修改 tag：

docker build --tag 10.16.12.204/ops/kafka:custom-v2.13-2.6.0 -f Dockerfile .

将镜像上传至镜像仓库：

docker push 10.16.12.204/ops/kafka:custom-v2.13-2.6.0

四、创建命名空间

整个 Kafka 和 Zookeeper 集群都要在同一个命名空间下，所以使用如下 yaml 文件创建 ns-kafka 命名空间：

---
apiVersion: v1
kind: Namespace
metadata:name: ns-kafkalabels:name: ns-kafka

五、创建 Secret

Kubelet 到镜像仓库中拉取镜像需要进行验证，所以创建一个用于验证 Harbor 仓库的 Secret：

kubectl create secret docker-registry harbor-secret --namespace=ns-kafka --docker-server=http://10.16.12.204 --docker-username=admin --docker-password=Harbor12345

六、创建 PV 和 PVC

在此次搭建集群的过程中，计划让 Kafka 集群和 Zookeeper 集群使用同一个 PV。在前面定义 Pod 初始化脚本时可以看到，Kafka 和 Zookeeper 中的数据目录以及日志目录，都是在以自己主机名命名的目录下，所以即便使用同一个 PV，也可以对目录进行区分。创建 PV 和 PVC 的 yaml 文件内容如下：

---
apiVersion: v1
kind: PersistentVolume
metadata:name: kafka-data-pv
spec:accessModes:- ReadWriteManycapacity:storage: 500Gilocal:path: /opt/ops_ceph_data/kafka_datanodeAffinity:required:nodeSelectorTerms:- matchExpressions:- key: kafka-clusteroperator: Invalues:- "true"persistentVolumeReclaimPolicy: Retain
---
kind: PersistentVolumeClaim
apiVersion: v1
metadata:name: kafka-data-pvcnamespace: ns-kafka
spec:accessModes:- ReadWriteManyresources:requests:storage: 500Gi

需要声明的一点是，我当前使用的存储是 cephfs，并将其挂载到 K8S 的各个节点的 /opt/ops_ceph_data 目录下，所以在创建 PV 的时候使用的存储类型是 local。

七、创建 Labels

由于上面创建 PV 时指定的存储类型是 local，这个 PV 只能在满足指定 Label 的节点中进行调度，所以为集群中的所有节点添加一个 label：

for i in 1 2 3 4 5; do kubectl label nodes k8s-node${i} kafka-cluster=true; done

八、创建 Zookeeper 集群

1. 创建 Service

创建用于 Zookeeper 与其他节点通信的 Service，yaml 文件内容如下：

---
apiVersion: v1
kind: Service
metadata:name: zk-inner-servicenamespace: ns-kafkalabels:app: zk
spec:selector:app: zkclusterIP: Noneports:- name: serverport: 2888- name: leader-electionport: 3888
---
apiVersion: v1
kind: Service
metadata:name: zk-client-servicenamespace: ns-kafkalabels:app: zk
spec:selector:app: zktype: NodePortports:- name: clientport: 2181nodePort: 31811

2. 创建 StatefulSet

Zookeeper 属于有状态服务，所以要使用 StatefulSet 来部署，yaml 文件内容如下：

---
apiVersion: apps/v1
kind: StatefulSet
metadata:name: zknamespace: ns-kafka
spec:selector:matchLabels:app: zkserviceName: "zk-inner-service"replicas: 3updateStrategy:type: RollingUpdatepodManagementPolicy: Paralleltemplate:metadata:labels:app: zkspec:containers:- name: zkimagePullPolicy: Alwaysimage: 10.16.12.204/ops/zookeeper:custom-v3.6.2resources:requests:memory: "500Mi"cpu: "0.5"ports:- containerPort: 2181name: client- containerPort: 2888name: server- containerPort: 3888name: leader-electionenv:- name: SERVERSvalue: "3"- name: ZOO_CONF_DIRvalue: /opt/conf- name: ZOO_DATA_DIRvalue: /opt/data- name: ZOO_DATA_LOG_DIRvalue: /opt/data_logvolumeMounts:- name: zookeeper-datamountPath: /opt/datasubPath: zookeeper-cluster-data/data- name: zookeeper-datamountPath: /opt/data_logsubPath: zookeeper-cluster-data/data_log- name: data-confmountPath: /etc/localtimeimagePullSecrets:- name: harbor-secretvolumes:- name: zookeeper-datapersistentVolumeClaim:claimName: kafka-data-pvc- name: data-confhostPath:path: /usr/share/zoneinfo/Asia/Shanghai

3. 验证集群状态

集群搭建完成后，查看 zookeeper 各个节点当前的状态，使用如下命令：

[@k8s-master1 /]# for i in  0 1 2; do kubectl exec -it zk-$i  -n ns-kafka -- zkServer.sh --config /opt/conf/zk-$i status; done
ZooKeeper JMX enabled by default
Using config: /opt/conf/zk-0/zoo.cfg
Client port found: 2181. Client address: localhost. Client SSL: false.
Mode: follower
ZooKeeper JMX enabled by default
Using config: /opt/conf/zk-1/zoo.cfg
Client port found: 2181. Client address: localhost. Client SSL: false.
Mode: leader
ZooKeeper JMX enabled by default
Using config: /opt/conf/zk-2/zoo.cfg
Client port found: 2181. Client address: localhost. Client SSL: false.
Mode: follower

可以看到当前集群中是一个 leader，两个follower。接下来验证集群各个节点的消息同步，首先在 zk-0 节点上创建一个信息：

[@k8s-master1 /]# kubectl exec -it zk-0 -n ns-kafka -- zkCli.sh
[zk: localhost:2181(CONNECTED) 0] create /testMessage Hello
Created /testMessage

在其他两个节点上查看这条消息：

[@k8s-master1 /]# kubectl exec -it zk-1 -n ns-kafka -- zkCli.sh
[zk: localhost:2181(CONNECTED) 0] get /testMessage
Hello[@k8s-master1 /]# kubectl exec -it zk-2 -n ns-kafka -- zkCli.sh
[zk: localhost:2181(CONNECTED) 0] get /testMessage
Hello

可以正常看到消息，代表集群当前运行正常。

本文原文链接：https://blog.csdn.net/xzk9381/article/details/109535377，转载请注明出处。如有发现文章中的任何问题，欢迎评论区留言。

九、创建 Kafka 集群

1. 创建 Service

创建用于 Kafka 通信的 Service，yaml 文件内容如下：

---
apiVersion: v1
kind: Service
metadata:name: kafka-servicenamespace: ns-kafkalabels:app: kafka
spec:ports:- port: 9092name: serverclusterIP: Noneselector:app: kafka

2. 创建 StatefulSet

Kafka 属于有状态服务，所以要使用 StatefulSet 来部署，yaml 文件内容如下：

---
apiVersion: apps/v1
kind: StatefulSet
metadata:name: kafkanamespace: ns-kafka
spec:selector:matchLabels:app: kafkaserviceName: "kafka-service"replicas: 3updateStrategy:type: RollingUpdatepodManagementPolicy: Paralleltemplate:metadata:labels:app: kafkaspec:imagePullSecrets:- name: harbor-secretcontainers:- name: kafkaimagePullPolicy: Alwaysimage: 10.16.12.204/ops/kafka:custom-v2.13-2.6.0resources:requests:memory: "500Mi"cpu: "0.5"env:- name: SERVERS                      # 要确保 SERVERS 设置的值与副本数一致value: "3"- name: KAFKA_LISTENERSvalue: "PLAINTEXT://:9092"- name: KAFKA_ZOOKEEPER_CONNECT      # 设置 Zookeeper 连接地址value: "zk-inner-service.ns-kafka.svc.cluster.local:2181"- name: KAFKA_PORTvalue: "9092"- name: KAFKA_MESSAGE_MAX_BYTESvalue: "20000000"- name: BROKER_ID_COMMAND            # 这个变量用于在容器内部生成一个 broker idvalue: "hostname | awk -F'-' '{print $NF}'"volumeMounts:- name: kafka-log                    # 只需要将 kafka 的 log 目录持久化存储mountPath: /kafkasubPath: kafka-cluster-log- name: data-confmountPath: /etc/localtimevolumes:- name: kafka-logpersistentVolumeClaim:claimName: kafka-data-pvc- name: data-confhostPath:path: /usr/share/zoneinfo/Asia/Shanghai

3. 验证集群状态

3.1 在 Zookeeper 中查看 broker

[@k8s-master1 ~]# kubectl exec -it zk-0 -n ns-kafka -- zkCli.sh
Connecting to localhost:2181[zk: localhost:2181(CONNECTED) 0] ls /
[admin, brokers, cluster, config, consumers, controller, controller_epoch, isr_change_notification, latest_producer_id_block, log_dir_event_notification, zookeeper][zk: localhost:2181(CONNECTED) 1] ls /brokers
[ids, seqid, topics][zk: localhost:2181(CONNECTED) 2] ls /brokers/ids
[0, 1, 2][zk: localhost:2181(CONNECTED) 3] get /brokers/ids/0
{"listener_security_protocol_map":{"PLAINTEXT":"PLAINTEXT"},"endpoints":["PLAINTEXT://kafka-0.kafka-service.ns-kafka.svc.cluster.local:9092"],"jmx_port":-1,"port":9092,"host":"kafka-0.kafka-service.ns-kafka.svc.cluster.local","version":4,"timestamp":"1604644074102"}[zk: localhost:2181(CONNECTED) 4] get /brokers/ids/1
{"listener_security_protocol_map":{"PLAINTEXT":"PLAINTEXT"},"endpoints":["PLAINTEXT://kafka-1.kafka-service.ns-kafka.svc.cluster.local:9092"],"jmx_port":-1,"port":9092,"host":"kafka-1.kafka-service.ns-kafka.svc.cluster.local","version":4,"timestamp":"1604644074079"}[zk: localhost:2181(CONNECTED) 5] get /brokers/ids/2
{"listener_security_protocol_map":{"PLAINTEXT":"PLAINTEXT"},"endpoints":["PLAINTEXT://kafka-2.kafka-service.ns-kafka.svc.cluster.local:9092"],"jmx_port":-1,"port":9092,"host":"kafka-2.kafka-service.ns-kafka.svc.cluster.local","version":4,"timestamp":"1604644074009"}

可以看到 3 个 broker 都已经在 zookeeper 中注册了。

3.2 创建 Topic

在 kafka-0 节点中创建一个名为 Message 的 topic，3个分区，3个副本：

[@k8s-master1 ~]# kubectl exec -it kafka-0 -n ns-kafka -- /bin/bash
bash-4.4# kafka-topics.sh --create --topic Message --zookeeper zk-inner-service.ns-kafka.svc.cluster.local:2181 --partitions 3 --replication-factor 3
Created topic Message.

在 zk-1 节点中查看是否存在这个 Topic：

[@k8s-master1 ~]# kubectl exec -it zk-1 -n ns-kafka -- zkCli.sh
Connecting to localhost:2181
[zk: localhost:2181(CONNECTED) 0] ls /
[admin, brokers, cluster, config, consumers, controller, controller_epoch, isr_change_notification, latest_producer_id_block, log_dir_event_notification, zookeeper]
[zk: localhost:2181(CONNECTED) 1] ls /brokers
[ids, seqid, topics]
[zk: localhost:2181(CONNECTED) 3] ls /brokers/topics
[Message]

可以看到 Zookeeper 中已经存在这个 Topic 了。

3.3 模拟生产者和消费者

首先在 kafka-1 上模拟生产者向 Message 中写入消息：

[@k8s-master1 ~]# kubectl exec -it kafka-1 -n ns-kafka -- /bin/bash
bash-4.4# kafka-console-producer.sh --topic Message --broker-list kafka-0.kafka-service.ns-kafka.svc.cluster.local:9092,kafka-1.kafka-service.ns-kafka.svc.cluster.local:9092,kafka-2.kafka-service.ns-kafka.svc.cluster.local:9092
>This is a test message
>Welcome to Kafka

然后在 kafka-2 中模拟消费者消费这些信息：

[@k8s-master1 ~]# kubectl exec -it kafka-2 -n ns-kafka -- /bin/bash
bash-4.4# kafka-console-consumer.sh --topic Message --bootstrap-server kafka-0.kafka-service.ns-kafka.svc.cluster.local:9092,kafka-1.kafka-service.ns-kafka.svc.cluster.local:9092,kafka-2.kafka-service.ns-kafka.svc.cluster.local:9092 --from-beginningThis is a test message
Welcome to Kafka

可以正常生产消息和消费消息，代表 Kafka 集群运行正常。

十、FAQ

1. 如何在 yaml 文件中指定要创建的 Topic

在 yaml 文件中指定如下 env，即可在 Pod 启动自动创建 Topic：

env:- name: KAFKA_CREATE_TOPICSvalue: "Topic1:1:3,Topic2:1:1:compact"

上面的内容代表 Topic1 会有 1 个分区，3个副本，Topic2 会有 1 个分区，1 个副本并且副本的 cleanup.policy 设置为 compact。

自动创建 Topic 一定要设置 KAFKA_CREATE_TOPICS 变量，然后会由 create_topic.sh 脚本（镜像中存在）根据变量内容自动创建。

2. 为 Topic 设置的 compaction 不生效

可参考网址：https://github.com/wurstmeister/kafka-docker/wiki#topic-compaction-does-not-work

本文原文链接：https://blog.csdn.net/xzk9381/article/details/109535377，转载请注明出处。如有发现文章中的任何问题，欢迎评论区留言。