kafka消费组管理模块(四)-GroupCoordinator分析

最新推荐文章于 2023-02-27 15:28:35 发布

原创

最新推荐文章于 2023-02-27 15:28:35 发布 · 497 阅读

0 ·

CC 4.0 BY-SA版权

文章标签：

#kafka

GroupCoordinator负责对接上层KafkaApis的各种handle请求,对下封装了GroupMetadataManager的各个方法

重点分析rebalance的两个阶段JoinRequest和SyncRequest

一.JoinRequest

1.最上层由KafkaApis的handleJoinGroupRequest方法发起
case ApiKeys.JOIN_GROUP => handleJoinGroupRequest(request)

def handleJoinGroupRequest(request: RequestChannel.Request): Unit = {
  val joinGroupRequest = request.body[JoinGroupRequest]

  // 封装返回结果
  def sendResponseCallback(joinResult: JoinGroupResult): Unit = {
    def createResponse(requestThrottleMs: Int): AbstractResponse = {
      val protocolName = if (request.context.apiVersion() >= 7)
        joinResult.protocolName.orNull
      else
        joinResult.protocolName.getOrElse(GroupCoordinator.NoProtocol)

      val responseBody = new JoinGroupResponse(
        new JoinGroupResponseData()
          .setThrottleTimeMs(requestThrottleMs)
          .setErrorCode(joinResult.error.code)
          .setGenerationId(joinResult.generationId)
          .setProtocolType(joinResult.protocolType.orNull)
          .setProtocolName(protocolName)
          .setLeader(joinResult.leaderId)
          .setMemberId(joinResult.memberId)
          .setMembers(joinResult.members.asJava)
      )

      trace("Sending join group response %s for correlation id %d to client %s."
        .format(responseBody, request.header.correlationId, request.header.clientId))
      response