kafka ProducerIdManager 源码
kafka ProducerIdManager 代码
文件路径:/core/src/main/scala/kafka/coordinator/transaction/ProducerIdManager.scala
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package kafka.coordinator.transaction
import kafka.server.{BrokerToControllerChannelManager, ControllerRequestCompletionHandler}
import kafka.utils.Logging
import kafka.zk.{KafkaZkClient, ProducerIdBlockZNode}
import org.apache.kafka.clients.ClientResponse
import org.apache.kafka.common.KafkaException
import org.apache.kafka.common.message.AllocateProducerIdsRequestData
import org.apache.kafka.common.protocol.Errors
import org.apache.kafka.common.requests.{AllocateProducerIdsRequest, AllocateProducerIdsResponse}
import org.apache.kafka.server.common.ProducerIdsBlock
import java.util.concurrent.{ArrayBlockingQueue, TimeUnit}
import java.util.concurrent.atomic.AtomicBoolean
import scala.util.{Failure, Success, Try}
/**
* ProducerIdManager is the part of the transaction coordinator that provides ProducerIds in a unique way
* such that the same producerId will not be assigned twice across multiple transaction coordinators.
*
* ProducerIds are managed by the controller. When requesting a new range of IDs, we are guaranteed to receive
* a unique block.
*/
object ProducerIdManager {
// Once we reach this percentage of PIDs consumed from the current block, trigger a fetch of the next block
val PidPrefetchThreshold = 0.90
// Creates a ProducerIdGenerate that directly interfaces with ZooKeeper, IBP < 3.0-IV0
def zk(brokerId: Int, zkClient: KafkaZkClient): ZkProducerIdManager = {
new ZkProducerIdManager(brokerId, zkClient)
}
// Creates a ProducerIdGenerate that uses AllocateProducerIds RPC, IBP >= 3.0-IV0
def rpc(brokerId: Int,
brokerEpochSupplier: () => Long,
controllerChannel: BrokerToControllerChannelManager,
maxWaitMs: Int): RPCProducerIdManager = {
new RPCProducerIdManager(brokerId, brokerEpochSupplier, controllerChannel, maxWaitMs)
}
}
trait ProducerIdManager {
def generateProducerId(): Long
def shutdown() : Unit = {}
}
object ZkProducerIdManager {
def getNewProducerIdBlock(brokerId: Int, zkClient: KafkaZkClient, logger: Logging): ProducerIdsBlock = {
// Get or create the existing PID block from ZK and attempt to update it. We retry in a loop here since other
// brokers may be generating PID blocks during a rolling upgrade
var zkWriteComplete = false
while (!zkWriteComplete) {
// refresh current producerId block from zookeeper again
val (dataOpt, zkVersion) = zkClient.getDataAndVersion(ProducerIdBlockZNode.path)
// generate the new producerId block
val newProducerIdBlock = dataOpt match {
case Some(data) =>
val currProducerIdBlock = ProducerIdBlockZNode.parseProducerIdBlockData(data)
logger.debug(s"Read current producerId block $currProducerIdBlock, Zk path version $zkVersion")
if (currProducerIdBlock.lastProducerId > Long.MaxValue - ProducerIdsBlock.PRODUCER_ID_BLOCK_SIZE) {
// we have exhausted all producerIds (wow!), treat it as a fatal error
logger.fatal(s"Exhausted all producerIds as the next block's end producerId is will has exceeded long type limit (current block end producerId is ${currProducerIdBlock.lastProducerId})")
throw new KafkaException("Have exhausted all producerIds.")
}
new ProducerIdsBlock(brokerId, currProducerIdBlock.nextBlockFirstId(), ProducerIdsBlock.PRODUCER_ID_BLOCK_SIZE)
case None =>
logger.debug(s"There is no producerId block yet (Zk path version $zkVersion), creating the first block")
new ProducerIdsBlock(brokerId, 0L, ProducerIdsBlock.PRODUCER_ID_BLOCK_SIZE)
}
val newProducerIdBlockData = ProducerIdBlockZNode.generateProducerIdBlockJson(newProducerIdBlock)
// try to write the new producerId block into zookeeper
val (succeeded, version) = zkClient.conditionalUpdatePath(ProducerIdBlockZNode.path, newProducerIdBlockData, zkVersion, None)
zkWriteComplete = succeeded
if (zkWriteComplete) {
logger.info(s"Acquired new producerId block $newProducerIdBlock by writing to Zk with path version $version")
return newProducerIdBlock
}
}
throw new IllegalStateException()
}
}
class ZkProducerIdManager(brokerId: Int,
zkClient: KafkaZkClient) extends ProducerIdManager with Logging {
this.logIdent = "[ZK ProducerId Manager " + brokerId + "]: "
private var currentProducerIdBlock: ProducerIdsBlock = ProducerIdsBlock.EMPTY
private var nextProducerId: Long = _
// grab the first block of producerIds
this synchronized {
allocateNewProducerIdBlock()
nextProducerId = currentProducerIdBlock.firstProducerId
}
private def allocateNewProducerIdBlock(): Unit = {
this synchronized {
currentProducerIdBlock = ZkProducerIdManager.getNewProducerIdBlock(brokerId, zkClient, this)
}
}
def generateProducerId(): Long = {
this synchronized {
// grab a new block of producerIds if this block has been exhausted
if (nextProducerId > currentProducerIdBlock.lastProducerId) {
allocateNewProducerIdBlock()
nextProducerId = currentProducerIdBlock.firstProducerId
}
nextProducerId += 1
nextProducerId - 1
}
}
}
class RPCProducerIdManager(brokerId: Int,
brokerEpochSupplier: () => Long,
controllerChannel: BrokerToControllerChannelManager,
maxWaitMs: Int) extends ProducerIdManager with Logging {
this.logIdent = "[RPC ProducerId Manager " + brokerId + "]: "
private val nextProducerIdBlock = new ArrayBlockingQueue[Try[ProducerIdsBlock]](1)
private val requestInFlight = new AtomicBoolean(false)
private var currentProducerIdBlock: ProducerIdsBlock = ProducerIdsBlock.EMPTY
private var nextProducerId: Long = -1L
override def generateProducerId(): Long = {
this synchronized {
if (nextProducerId == -1L) {
// Send an initial request to get the first block
maybeRequestNextBlock()
nextProducerId = 0L
} else {
nextProducerId += 1
// Check if we need to fetch the next block
if (nextProducerId >= (currentProducerIdBlock.firstProducerId + currentProducerIdBlock.size * ProducerIdManager.PidPrefetchThreshold)) {
maybeRequestNextBlock()
}
}
// If we've exhausted the current block, grab the next block (waiting if necessary)
if (nextProducerId > currentProducerIdBlock.lastProducerId) {
val block = nextProducerIdBlock.poll(maxWaitMs, TimeUnit.MILLISECONDS)
if (block == null) {
throw Errors.REQUEST_TIMED_OUT.exception("Timed out waiting for next producer ID block")
} else {
block match {
case Success(nextBlock) =>
currentProducerIdBlock = nextBlock
nextProducerId = currentProducerIdBlock.firstProducerId
case Failure(t) => throw t
}
}
}
nextProducerId
}
}
private def maybeRequestNextBlock(): Unit = {
if (nextProducerIdBlock.isEmpty && requestInFlight.compareAndSet(false, true)) {
sendRequest()
}
}
private[transaction] def sendRequest(): Unit = {
val message = new AllocateProducerIdsRequestData()
.setBrokerEpoch(brokerEpochSupplier.apply())
.setBrokerId(brokerId)
val request = new AllocateProducerIdsRequest.Builder(message)
debug("Requesting next Producer ID block")
controllerChannel.sendRequest(request, new ControllerRequestCompletionHandler() {
override def onComplete(response: ClientResponse): Unit = {
val message = response.responseBody().asInstanceOf[AllocateProducerIdsResponse]
handleAllocateProducerIdsResponse(message)
}
override def onTimeout(): Unit = handleTimeout()
})
}
private[transaction] def handleAllocateProducerIdsResponse(response: AllocateProducerIdsResponse): Unit = {
requestInFlight.set(false)
val data = response.data
Errors.forCode(data.errorCode()) match {
case Errors.NONE =>
debug(s"Got next producer ID block from controller $data")
// Do some sanity checks on the response
if (data.producerIdStart() < currentProducerIdBlock.lastProducerId) {
nextProducerIdBlock.put(Failure(new KafkaException(
s"Producer ID block is not monotonic with current block: current=$currentProducerIdBlock response=$data")))
} else if (data.producerIdStart() < 0 || data.producerIdLen() < 0 || data.producerIdStart() > Long.MaxValue - data.producerIdLen()) {
nextProducerIdBlock.put(Failure(new KafkaException(s"Producer ID block includes invalid ID range: $data")))
} else {
nextProducerIdBlock.put(
Success(new ProducerIdsBlock(brokerId, data.producerIdStart(), data.producerIdLen())))
}
case Errors.STALE_BROKER_EPOCH =>
warn("Our broker epoch was stale, trying again.")
maybeRequestNextBlock()
case Errors.BROKER_ID_NOT_REGISTERED =>
warn("Our broker ID is not yet known by the controller, trying again.")
maybeRequestNextBlock()
case e: Errors =>
warn("Had an unknown error from the controller, giving up.")
nextProducerIdBlock.put(Failure(e.exception()))
}
}
private[transaction] def handleTimeout(): Unit = {
warn("Timed out when requesting AllocateProducerIds from the controller.")
requestInFlight.set(false)
nextProducerIdBlock.put(Failure(Errors.REQUEST_TIMED_OUT.exception))
maybeRequestNextBlock()
}
}
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