k8s构建zookeeper集群

阅读目录

• zookeeper镜像构建
• k8s资源构建

介绍

   ZooKeeper是Apache软件基金会的一个软件项目，它为大型分布式计算提供开源的分布式配置服务、同步服务和命名注册。

       ZooKeeper的架构通过冗余服务实现高可用性。

       Zookeeper的设计目标是将那些复杂且容易出错的分布式一致性服务封装起来，构成一个高效可靠的原语集，并以一系列简单易用的接口提供给用户使用。

       一个典型的分布式数据一致性的解决方案，分布式应用程序可以基于它实现诸如数据发布/订阅、负载均衡、命名服务、分布式协调/通知、集群管理、Master 选举、分布式锁和分布式队列等功能。

 

读写数据流程

       1、读数据流程

       当Client向zookeeper发出读请求时，无论是Leader还是Follower，都直接返回查询结果

       Zookeeper并不保证读取的是最新数据

       如果是对zk进行读取操作，读取到的数据可能是过期的旧数据，不是最新的数据。

       如果一个zk集群有10000台节点，当进行写入的时候，如果已经有6K个节点写入成功，zk就认为本次写请求成功。但是这时候如果一个客户端读取的刚好是另外4K个节点的数据，那么读取到的就是旧的过期数据。

 

 

  2、写数据流程

       zookeeper写入操作分为两种情况，这两种情况有略微的区别。

       ① 写入请求直接发送到leader节点；

       ② 写入请求发送到Follower节点。

      

       （1）写入请求直接发送到Leader节点时的操作步骤如下：

       ①Client向Leader发出写请求。

       ②Leader将数据写入到本节点，并将数据发送到所有的Follower节点；

       ③等待Follower节点返回；

       ④当Leader接收到一半以上节点(包含自己)返回写成功的信息之后，返回写入成功消息给client;

 

  (2）写入请求发送到Follower节点的操作步骤如下：

  ①Client向Follower发出写请求

       ②Follower节点将请求转发给Leader

       ③Leader将数据写入到本节点，并将数据发送到所有的Follower节点

       ④等待Follower节点返回

       ⑤当Leader接收到一半以上节点(包含自己)返回写成功的信息之后，返回写入成功消息给原来的Follower

       ⑥原来的Follower返回写入成功消息给Client

Leader选举原理

  zookeeper的leader选举存在两个阶段，一个是服务器启动时leader选举，另一个是运行过程中leader服务器宕机。在分析选举原理前，先介绍几个重要的参数。

 

  服务器 ID(myid)：编号越大在选举算法中权重越大

  事务ID(zxid)：值越大说明数据越新，权重越大

  逻辑时钟(epoch-logicalclock)：同一轮投票过程中的逻辑时钟值是相同的，每投完一次值会增加

 

  选举状态：

   LOOKING: 竞选状态

  FOLLOWING: 随从状态，同步leader状态，参与投票

  OBSERVING: 观察状态，同步leader状态，不参与投票

  LEADING: 领导者状态

 

  1、服务器启动时的leader选举

       每个节点启动的时候都LOOKING观望状态，接下来就开始进行选举主流程。这里选取三台机器组成的集群为例。第一台服务器server启动时，无法进行leader选举，当第二台服务器server2启动时，两台机器可以相互通信，进入leader选举过程。

 

       （1）每台server发出一个投票，由于是初始情况，server1和server2都将自己作为leader服务器进行投票，每次投票包含所推举的服务器myid、zxid、epoch，使用（myid，zxid）表示，此时server1投票为（1,0），server2 投票为（2,0），然后将各自投票发送给集群中其他机器。

 

    （2）接收来自各个服务器的投票。集群中的每个服务器收到投票后，首先判断该投票的有效性，如检查是否是本轮投票（epoch）、是否来自LOOKING状态的服务器。

 

    （3）分别处理投票。针对每一次投票，服务器都需要将其他服务器的投票和自己的投票进行对比，对比规则如下：

1. 优先比较epoch
2. 检查zxid，zxid比较大的服务器优先作为leader
3. 如果zxid相同，那么就比较myid，myid较大的服务器作为leader服务器

 

    （4）统计投票。每次投票后，服务器统计投票信息，判断是都有过半机器接收到相同的投票信息。server1、server2都统计出集群中有两台机器接受了（2,0）的投票信息，此时已经选出了server2为leader节点。

 

    （5）改变服务器状态。一旦确定了leader，每个服务器响应更新自己的状态，如果是follower，那么就变更为FOLLOWING，如果是Leader，变更为 LEADING。此时server3继续启动，直接加入变更自己为FOLLOWING。

  2、运行过程中的leader选举

 

       当集群中leader服务器出现宕机或者不可用情况时，整个集群无法对外提供服务，进入新一轮的leader选举。

 

       （1）变更状态。leader挂后，其他非Oberver服务器将自身服务器状态变更为LOOKING。

       （2）每个server发出一个投票。在运行期间，每个服务器上zxid可能不同。

       （3）处理投票。规则同启动过程。

       （4）统计投票。与启动过程相同。

       （5）改变服务器状态。与启动过程相同。

 

构建zookeeper集群案例

  流程图

回到顶部

zookeeper镜像构建

       1、创建zookeeper集群配置文件模板

       创建zoo.cfg文件

root@master1:/dockerfile/project/zookeeper/conf# cat zoo.cfg 
tickTime=2000
initLimit=10
syncLimit=5
dataDir=/usr/local/zookeeper/data
dataLogDir=/usr/local/zookeeper/wal
#snapCount=100000
autopurge.purgeInterval=1
clientPort=2181
quorumListenOnAllIPs=true

 

       日志配置文件

root@master1:/dockerfile/project/zookeeper/conf# cat log4j.properties 
# Define some default values that can be overridden by system properties
zookeeper.root.logger=INFO, CONSOLE, ROLLINGFILE
zookeeper.console.threshold=INFO
zookeeper.log.dir=/usr/local/zookeeper/log
zookeeper.log.file=zookeeper.log
zookeeper.log.threshold=INFO
zookeeper.tracelog.dir=/usr/local/zookeeper/log
zookeeper.tracelog.file=zookeeper_trace.log
 
#
# ZooKeeper Logging Configuration
#
 
# Format is "<default threshold> (, <appender>)+
 
# DEFAULT: console appender only
log4j.rootLogger=${zookeeper.root.logger}
 
# Example with rolling log file
#log4j.rootLogger=DEBUG, CONSOLE, ROLLINGFILE
 
# Example with rolling log file and tracing
#log4j.rootLogger=TRACE, CONSOLE, ROLLINGFILE, TRACEFILE
 
#
# Log INFO level and above messages to the console
#
log4j.appender.CONSOLE=org.apache.log4j.ConsoleAppender
log4j.appender.CONSOLE.Threshold=${zookeeper.console.threshold}
log4j.appender.CONSOLE.layout=org.apache.log4j.PatternLayout
log4j.appender.CONSOLE.layout.ConversionPattern=%d{ISO8601} [myid:%X{myid}] - %-5p [%t:%C{1}@%L] - %m%n
 
#
# Add ROLLINGFILE to rootLogger to get log file output
#    Log DEBUG level and above messages to a log file
log4j.appender.ROLLINGFILE=org.apache.log4j.RollingFileAppender
log4j.appender.ROLLINGFILE.Threshold=${zookeeper.log.threshold}
log4j.appender.ROLLINGFILE.File=${zookeeper.log.dir}/${zookeeper.log.file}
 
# Max log file size of 10MB
log4j.appender.ROLLINGFILE.MaxFileSize=10MB
# uncomment the next line to limit number of backup files
log4j.appender.ROLLINGFILE.MaxBackupIndex=5
 
log4j.appender.ROLLINGFILE.layout=org.apache.log4j.PatternLayout
log4j.appender.ROLLINGFILE.layout.ConversionPattern=%d{ISO8601} [myid:%X{myid}] - %-5p [%t:%C{1}@%L] - %m%n
 
 
#
# Add TRACEFILE to rootLogger to get log file output
#    Log DEBUG level and above messages to a log file
log4j.appender.TRACEFILE=org.apache.log4j.FileAppender
log4j.appender.TRACEFILE.Threshold=TRACE
log4j.appender.TRACEFILE.File=${zookeeper.tracelog.dir}/${zookeeper.tracelog.file}
 
log4j.appender.TRACEFILE.layout=org.apache.log4j.PatternLayout
### Notice we are including log4j's NDC here (%x)
log4j.appender.TRACEFILE.layout.ConversionPattern=%d{ISO8601} [myid:%X{myid}] - %-5p [%t:%C{1}@%L][%x] - %m%n

 

       创建zookeeper生成集群配置文件脚本

root@master1:/dockerfile/project/zookeeper# cat entrypoint.sh
#!/bin/bash
  
echo ${MYID:-0} > /usr/local/zookeeper/data/myid
 
#k8s zookeeper集群service名称
servers=(zookeeper1 zookeeper2 zookeeper3)
 
if [ -n "$servers" ]; then
   for list in "${!servers[@]}"; do
      printf "\nserver.%s = %s:2888:3888" "$((1 + $list))" "${servers[$list]}" >> /usr/local/zookeeper/conf/zoo.cfg
   done
fi
 
exec "$@"

 

       创建集群状态检查脚本

root@master1:/dockerfile/project/zookeeper# cat bin/zkReady.sh 
#!/bin/bash
 
/usr/local/zookeeper/bin/zkServer.sh status | egrep 'Mode: (standalone|leader|follower|observing)'

 

       创建dockerfile镜像文件

root@master1:/dockerfile/project/zookeeper# cat Dockerfile
FROM harbor.cncf.net/baseimages/jdk:1.8.191 
 
ENV ZK_VERSION 3.5.10
COPY apache-zookeeper-3.5.10-bin.tar.gz /usr/local
 
RUN mkdir -p /usr/local/zookeeper/data /usr/local/zookeeper/wal /usr/local/zookeeper/log
RUN cd /usr/local/ &&  \
tar xf apache-zookeeper-3.5.10-bin.tar.gz -C /usr/local/zookeeper/ --strip-component=1 && \
rm -rf apache-zookeeper-3.5.10-bin.tar.gz
 
COPY conf /usr/local/zookeeper/conf/
COPY bin/zkReady.sh /usr/local/zookeeper/bin/
COPY entrypoint.sh /
 
ENV PATH=/usr/local/zookeeper/bin:${PATH} \
    ZOO_LOG_DIR=/usr/local/zookeeper/log \
    ZOO_LOG4J_PROP="INFO, CONSOLE, ROLLINGFILE" \
    JMXPORT=9010
 
ENTRYPOINT [ "/entrypoint.sh" ]
 
CMD [ "zkServer.sh", "start-foreground" ]
 
EXPOSE 2181 2888 3888 9010

 

 

   创建镜像构建脚本：

root@master1:/dockerfile/project/zookeeper# cat build-command.sh 
#!/bin/bash
TAG=$1
nerdctl  build -t harbor.cncf.net/project/zookeeper:${TAG} .
 
nerdctl push harbor.cncf.net/project/zookeeper:${TAG}

 

       所有文件如下：

       构建zookeeper镜像

root@master1:/dockerfile/project/zookeeper# ./build-command.sh 1.1.4

       harbor仓库查看

 

回到顶部

k8s资源构建

       1、配置nfs server

       先创建nfs文件共享目录

root@harbor:~# mkdir /data/k8sdata/zookeeper/zookeeper-datadir-{1..3} -p

 

       配置目录共享

root@harbor:/data/k8sdata/zookeeper# cat /etc/exports 
/data/k8sdata  *(rw,sync,no_root_squash)
 
root@harbor:/data/k8sdata/zookeeper# exportfs -r

       创建zookeeper集群pv

root@master1:/dockerfile/project/zookeeper/pv# cat zookeeper-persistentvolume.yaml 
---
apiVersion: v1
kind: PersistentVolume
metadata:
  name: zookeeper-datadir-pv-1
spec:
  capacity:
    storage: 20Gi
  accessModes:
    - ReadWriteOnce 
  nfs:
    server: 192.168.100.15
    path: /data/k8sdata/zookeeper/zookeeper-datadir-1 
 
---
apiVersion: v1
kind: PersistentVolume
metadata:
  name: zookeeper-datadir-pv-2
spec:
  capacity:
    storage: 20Gi
  accessModes:
    - ReadWriteOnce
  nfs:
    server: 192.168.100.15
    path: /data/k8sdata/zookeeper/zookeeper-datadir-2 
 
---
apiVersion: v1
kind: PersistentVolume
metadata:
  name: zookeeper-datadir-pv-3
spec:
  capacity:
    storage: 20Gi
  accessModes:
    - ReadWriteOnce
  nfs:
    server: 192.168.100.15 
    path: /data/k8sdata/zookeeper/zookeeper-datadir-3
 
 
root@master1:/dockerfile/project/zookeeper/pv# kubectl apply -f zookeeper-persistentvolume.yaml

 

       创建zookeeper pvc

root@master1:/dockerfile/project/zookeeper/pv# cat zookeeper-persistentvolumeclaim.yaml 
---
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: zookeeper-datadir-pvc-1
  namespace: test
spec:
  accessModes:
    - ReadWriteOnce
  volumeName: zookeeper-datadir-pv-1
  resources:
    requests:
      storage: 10Gi
---
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: zookeeper-datadir-pvc-2
  namespace: test
spec:
  accessModes:
    - ReadWriteOnce
  volumeName: zookeeper-datadir-pv-2
  resources:
    requests:
      storage: 10Gi
---
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: zookeeper-datadir-pvc-3
  namespace: test
spec:
  accessModes:
    - ReadWriteOnce
  volumeName: zookeeper-datadir-pv-3
  resources:
    requests:
      storage: 10Gi

 

       查看pvc构建绑定pv

root@master1:/dockerfile/project/zookeeper/pv# kubectl apply -f zookeeper-persistentvolumeclaim.yaml 
persistentvolumeclaim/zookeeper-datadir-pvc-1 created
persistentvolumeclaim/zookeeper-datadir-pvc-2 created
persistentvolumeclaim/zookeeper-datadir-pvc-3 created
 
root@master1:/dockerfile/project/zookeeper/pv# kubectl get pvc
NAME                      STATUS   VOLUME                   CAPACITY   ACCESS MODES   STORAGECLASS   AGE
zookeeper-datadir-pvc-1   Bound    zookeeper-datadir-pv-1   20Gi       RWO                           8s
zookeeper-datadir-pvc-2   Bound    zookeeper-datadir-pv-2   20Gi       RWO                           8s
zookeeper-datadir-pvc-3   Bound    zookeeper-datadir-pv-3   20Gi       RWO                           8s

 

       创建zookeeper k8s资源清单文件 deployment和service

root@master1:/dockerfile/project/zookeeper# cat zookeeper.yaml 
#所有zookeeper节点内网访问client
apiVersion: v1
kind: Service
metadata:
  name: zookeeper
  namespace: test
spec:
  ports:
    - name: client
      port: 2181
  selector:
    app: zookeeper
 
---
#对外访问zookeeper1
apiVersion: v1
kind: Service
metadata:
  name: zookeeper1
  namespace: test
spec:
  type: NodePort        
  ports:
    - name: client
      port: 2181
      nodePort: 32181
    - name: followers
      port: 2888
    - name: election
      port: 3888
  selector:
    app: zookeeper
    server-id: "1"
 
---
#对外访问zookeeper2
apiVersion: v1
kind: Service
metadata:
  name: zookeeper2
  namespace: test
spec:
  type: NodePort        
  ports:
    - name: client
      port: 2181
      nodePort: 32182
    - name: followers
      port: 2888
    - name: election
      port: 3888
  selector:
    app: zookeeper
    server-id: "2"
 
---
#对外访问zookeeper3
apiVersion: v1
kind: Service
metadata:
  name: zookeeper3
  namespace: test
spec:
  type: NodePort        
  ports:
    - name: client
      port: 2181
      nodePort: 32183
    - name: followers
      port: 2888
    - name: election
      port: 3888
  selector:
    app: zookeeper
    server-id: "3"
 
---
#创建zookeeper1
kind: Deployment
apiVersion: apps/v1
metadata:
  name: zookeeper1
  namespace: test
spec:
  replicas: 1
  selector:
    matchLabels:
      app: zookeeper
  template:
    metadata:
      labels:
        app: zookeeper
        server-id: "1"
    spec:
      volumes:
        - name: data
          emptyDir: {}
        - name: wal
          emptyDir:
            medium: Memory #预写日志数据持久化到内存
      containers:
        - name: server
          image: harbor.cncf.net/project/zookeeper:1.1.4
          imagePullPolicy: IfNotPresent
          env:
            - name: MYID
              value: "1"
            - name: JVMFLAGS
              value: "-Xmx2G"
          ports:
            - containerPort: 2181
            - containerPort: 2888
            - containerPort: 3888
          volumeMounts:
          - mountPath: "/usr/local/zookeeper/data"
            name: zookeeper-datadir-pvc-1 
      volumes:
        - name: zookeeper-datadir-pvc-1 
          persistentVolumeClaim:
            claimName: zookeeper-datadir-pvc-1
 
---
#创建zookeeper2实例
kind: Deployment
apiVersion: apps/v1
metadata:
  name: zookeeper2
  namespace: test
spec:
  replicas: 1
  selector:
    matchLabels:
      app: zookeeper
  template:
    metadata:
      labels:
        app: zookeeper
        server-id: "2"
    spec:
      volumes:
        - name: data
          emptyDir: {}
        - name: wal
          emptyDir:
            medium: Memory
      containers:
        - name: server
          image: harbor.cncf.net/project/zookeeper:1.1.4
          imagePullPolicy: IfNotPresent
          env:
            - name: MYID
              value: "2"
            - name: JVMFLAGS
              value: "-Xmx2G"
          ports:
            - containerPort: 2181
            - containerPort: 2888
            - containerPort: 3888
          volumeMounts:
          - mountPath: "/usr/local/zookeeper/data"
            name: zookeeper-datadir-pvc-2 
      volumes:
        - name: zookeeper-datadir-pvc-2
          persistentVolumeClaim:
            claimName: zookeeper-datadir-pvc-2
 
---
#创建zookeeper3实例
kind: Deployment
apiVersion: apps/v1
metadata:
  name: zookeeper3
  namespace: test
spec:
  replicas: 1
  selector:
    matchLabels:
      app: zookeeper
  template:
    metadata:
      labels:
        app: zookeeper
        server-id: "3"
    spec:
      volumes:
        - name: data
          emptyDir: {}
        - name: wal
          emptyDir:
            medium: Memory
      containers:
        - name: server
          image: harbor.cncf.net/project/zookeeper:1.1.4
          imagePullPolicy: IfNotPresent
          env:
            - name: MYID
              value: "3"
            - name: JVMFLAGS
              value: "-Xmx2G"
          ports:
            - containerPort: 2181
            - containerPort: 2888
            - containerPort: 3888
          volumeMounts:
          - mountPath: "/usr/local/zookeeper/data"
            name: zookeeper-datadir-pvc-3
      volumes:
        - name: zookeeper-datadir-pvc-3
          persistentVolumeClaim:
           claimName: zookeeper-datadir-pvc-3
           
           
root@master1:/dockerfile/project/zookeeper# kubectl apply -f zookeeper.yaml 
service/zookeeper created
service/zookeeper1 created
service/zookeeper2 created
service/zookeeper3 created
deployment.apps/zookeeper1 created
deployment.apps/zookeeper2 created
deployment.apps/zookeeper3 created

 

 

       查看service

 

       查看pod

 

 

       观察验证zookeeper集群模式，leader和follower

 

       观察验证zookeeper集群模式，leader和follower

 

 

 

       客户端链接测试

       创建节点测试