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/**
* 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.server
import java.io.{File, IOException}
import java.util.concurrent.TimeUnit
import java.util.concurrent.atomic.{AtomicBoolean, AtomicLong}
import com.yammer.metrics.core.Gauge
import kafka.api._
import kafka.cluster.{Partition, Replica}
import kafka.common._
import kafka.controller.KafkaController
import kafka.log.{LogAppendInfo, LogManager}
import kafka.message.{ByteBufferMessageSet, InvalidMessageException, Message, MessageSet}
import kafka.metrics.KafkaMetricsGroup
import kafka.utils._
import org.I0Itec.zkclient.IZkChildListener
import org.apache.kafka.common.errors.{OffsetOutOfRangeException, RecordBatchTooLargeException, ReplicaNotAvailableException, RecordTooLargeException,
InvalidTopicException, ControllerMovedException, NotLeaderForPartitionException, CorruptRecordException, UnknownTopicOrPartitionException,
InvalidTimestampException}
import org.apache.kafka.common.TopicPartition
import org.apache.kafka.common.metrics.Metrics
import org.apache.kafka.common.protocol.Errors
import org.apache.kafka.common.requests.{LeaderAndIsrRequest, StopReplicaRequest, UpdateMetadataRequest}
import org.apache.kafka.common.requests.ProduceResponse.PartitionResponse
import org.apache.kafka.common.utils.{Time => JTime}
import scala.collection._
import scala.collection.JavaConverters._
/*
* Result metadata of a log append operation on the log
*/
case class LogAppendResult(info: LogAppendInfo, error: Option[Throwable] = None) {
def errorCode = error match {
case None => Errors.NONE.code
case Some(e) => Errors.forException(e).code
}
}
/*
* Result metadata of a log read operation on the log
* @param info @FetchDataInfo returned by the @Log read
* @param hw high watermark of the local replica
* @param readSize amount of data that was read from the log i.e. size of the fetch
* @param isReadFromLogEnd true if the request read up to the log end offset snapshot
* when the read was initiated, false otherwise
* @param error Exception if error encountered while reading from the log
*/
case class LogReadResult(info: FetchDataInfo,
hw: Long,
readSize: Int,
isReadFromLogEnd : Boolean,
error: Option[Throwable] = None) {
def errorCode = error match {
case None => Errors.NONE.code
case Some(e) => Errors.forException(e).code
}
override def toString = {
"Fetch Data: [%s], HW: [%d], readSize: [%d], isReadFromLogEnd: [%b], error: [%s]"
.format(info, hw, readSize, isReadFromLogEnd, error)
}
}
object LogReadResult {
val UnknownLogReadResult = LogReadResult(FetchDataInfo(LogOffsetMetadata.UnknownOffsetMetadata,
MessageSet.Empty),
-1L,
-1,
false)
}
case class BecomeLeaderOrFollowerResult(responseMap: collection.Map[TopicPartition, Short], errorCode: Short) {
override def toString = {
"update results: [%s], global error: [%d]".format(responseMap, errorCode)
}
}
object ReplicaManager {
val HighWatermarkFilename = "replication-offset-checkpoint"
val IsrChangePropagationBlackOut = 5000L
val IsrChangePropagationInterval = 60000L
}
class ReplicaManager(val config: KafkaConfig,
metrics: Metrics,
time: Time,
jTime: JTime,
val zkUtils: ZkUtils,
scheduler: Scheduler,
val logManager: LogManager,
val isShuttingDown: AtomicBoolean,
threadNamePrefix: Option[String] = None) extends Logging with KafkaMetricsGroup {
/* epoch of the controller that last changed the leader */
@volatile var controllerEpoch: Int = KafkaController.InitialControllerEpoch - 1
private val localBrokerId = config.brokerId
private val allPartitions = new Pool[(String, Int), Partition]
private val replicaStateChangeLock = new Object
val replicaFetcherManager = new ReplicaFetcherManager(config, this, metrics, jTime, threadNamePrefix)
private val highWatermarkCheckPointThreadStarted = new AtomicBoolean(false)
val highWatermarkCheckpoints = config.logDirs.map(dir => (new File(dir).getAbsolutePath, new OffsetCheckpoint(new File(dir, ReplicaManager.HighWatermarkFilename)))).toMap
private var hwThreadInitialized = false
this.logIdent = "[Replica Manager on Broker " + localBrokerId + "]: "
val stateChangeLogger = KafkaController.stateChangeLogger
private val isrChangeSet: mutable.Set[TopicAndPartition] = new mutable.HashSet[TopicAndPartition]()
private val lastIsrChangeMs = new AtomicLong(System.currentTimeMillis())
private val lastIsrPropagationMs = new AtomicLong(System.currentTimeMillis())
val delayedProducePurgatory = DelayedOperationPurgatory[DelayedProduce](
purgatoryName = "Produce", config.brokerId, config.producerPurgatoryPurgeIntervalRequests)
val delayedFetchPurgatory = DelayedOperationPurgatory[DelayedFetch](
purgatoryName = "Fetch", config.brokerId, config.fetchPurgatoryPurgeIntervalRequests)
val leaderCount = newGauge(
"LeaderCount",
new Gauge[Int] {
def value = {
getLeaderPartitions().size
}
}
)
val partitionCount = newGauge(
"PartitionCount",
new Gauge[Int] {
def value = allPartitions.size
}
)
val underReplicatedPartitions = newGauge(
"UnderReplicatedPartitions",
new Gauge[Int] {
def value = underReplicatedPartitionCount()
}
)
val isrExpandRate = newMeter("IsrExpandsPerSec", "expands", TimeUnit.SECONDS)
val isrShrinkRate = newMeter("IsrShrinksPerSec", "shrinks", TimeUnit.SECONDS)
def underReplicatedPartitionCount(): Int = {
getLeaderPartitions().count(_.isUnderReplicated)
}
def startHighWaterMarksCheckPointThread() = {
if(highWatermarkCheckPointThreadStarted.compareAndSet(false, true))
scheduler.schedule("highwatermark-checkpoint", checkpointHighWatermarks, period = config.replicaHighWatermarkCheckpointIntervalMs, unit = TimeUnit.MILLISECONDS)
}
def recordIsrChange(topicAndPartition: TopicAndPartition) {
isrChangeSet synchronized {
isrChangeSet += topicAndPartition
lastIsrChangeMs.set(System.currentTimeMillis())
}
}
/**
* This function periodically runs to see if ISR needs to be propagated. It propagates ISR when:
* 1. There is ISR change not propagated yet.
* 2. There is no ISR Change in the last five seconds, or it has been more than 60 seconds since the last ISR propagation.
* This allows an occasional ISR change to be propagated within a few seconds, and avoids overwhelming controller and
* other brokers when large amount of ISR change occurs.
*/
def maybePropagateIsrChanges() {
val now = System.currentTimeMillis()
isrChangeSet synchronized {
if (isrChangeSet.nonEmpty &&
(lastIsrChangeMs.get() + ReplicaManager.IsrChangePropagationBlackOut < now ||
lastIsrPropagationMs.get() + ReplicaManager.IsrChangePropagationInterval < now)) {
ReplicationUtils.propagateIsrChanges(zkUtils, isrChangeSet)
isrChangeSet.clear()
lastIsrPropagationMs.set(now)
}
}
}
/**
* Try to complete some delayed produce requests with the request key;
* this can be triggered when:
*
* 1. The partition HW has changed (for acks = -1)
* 2. A follower replica's fetch operation is received (for acks > 1)
*/
def tryCompleteDelayedProduce(key: DelayedOperationKey) {
val completed = delayedProducePurgatory.checkAndComplete(key)
debug("Request key %s unblocked %d producer requests.".format(key.keyLabel, completed))
}
/**
* Try to complete some delayed fetch requests with the request key;
* this can be triggered when:
*
* 1. The partition HW has changed (for regular fetch)
* 2. A new message set is appended to the local log (for follower fetch)
*/
def tryCompleteDelayedFetch(key: DelayedOperationKey) {
val completed = delayedFetchPurgatory.checkAndComplete(key)
debug("Request key %s unblocked %d fetch requests.".format(key.keyLabel, completed))
}
def startup() {
// start ISR expiration thread
scheduler.schedule("isr-expiration", maybeShrinkIsr, period = config.replicaLagTimeMaxMs, unit = TimeUnit.MILLISECONDS)
scheduler.schedule("isr-change-propagation", maybePropagateIsrChanges, period = 2500L, unit = TimeUnit.MILLISECONDS)
}
def stopReplica(topic: String, partitionId: Int, deletePartition: Boolean): Short = {
stateChangeLogger.trace("Broker %d handling stop replica (delete=%s) for partition [%s,%d]".format(localBrokerId,
deletePartition.toString, topic, partitionId))
val errorCode = Errors.NONE.code
getPartition(topic, partitionId) match {
case Some(partition) =>
if(deletePartition) {
val removedPartition = allPartitions.remove((topic, partitionId))
if (removedPartition != null)
removedPartition.delete() // this will delete the local log
}
case None =>
// Delete log and corresponding folders in case replica manager doesn't hold them anymore.
// This could happen when topic is being deleted while broker is down and recovers.
if(deletePartition) {
val topicAndPartition = TopicAndPartition(topic, partitionId)
if(logManager.getLog(topicAndPartition).isDefined) {
logManager.deleteLog(topicAndPartition)
}
}
stateChangeLogger.trace("Broker %d ignoring stop replica (delete=%s) for partition [%s,%d] as replica doesn't exist on broker"
.format(localBrokerId, deletePartition, topic, partitionId))
}
stateChangeLogger.trace("Broker %d finished handling stop replica (delete=%s) for partition [%s,%d]"
.format(localBrokerId, deletePartition, topic, partitionId))
errorCode
}
def stopReplicas(stopReplicaRequest: StopReplicaRequest): (mutable.Map[TopicPartition, Short], Short) = {
replicaStateChangeLock synchronized {
val responseMap = new collection.mutable.HashMap[TopicPartition, Short]
if(stopReplicaRequest.controllerEpoch() < controllerEpoch) {
stateChangeLogger.warn("Broker %d received stop replica request from an old controller epoch %d. Latest known controller epoch is %d"
.format(localBrokerId, stopReplicaRequest.controllerEpoch, controllerEpoch))
(responseMap, Errors.STALE_CONTROLLER_EPOCH.code)
} else {
val partitions = stopReplicaRequest.partitions.asScala
controllerEpoch = stopReplicaRequest.controllerEpoch
// First stop fetchers for all partitions, then stop the corresponding replicas
replicaFetcherManager.removeFetcherForPartitions(partitions.map(r => TopicAndPartition(r.topic, r.partition)))
for(topicPartition <- partitions){
val errorCode = stopReplica(topicPartition.topic, topicPartition.partition, stopReplicaRequest.deletePartitions)
responseMap.put(topicPartition, errorCode)
}
(responseMap, Errors.NONE.code)
}
}
}
def getOrCreatePartition(topic: String, partitionId: Int): Partition = {
var partition = allPartitions.get((topic, partitionId))
if (partition == null) {
allPartitions.putIfNotExists((topic, partitionId), new Partition(topic, partitionId, time, this))
partition = allPartitions.get((topic, partitionId))
}
partition
}
def getPartition(topic: String, partitionId: Int): Option[Partition] = {
val partition = allPartitions.get((topic, partitionId))
if (partition == null)
None
else
Some(partition)
}
def getReplicaOrException(topic: String, partition: Int): Replica = {
val replicaOpt = getReplica(topic, partition)
if(replicaOpt.isDefined)
replicaOpt.get
else
throw new ReplicaNotAvailableException("Replica %d is not available for partition [%s,%d]".format(config.brokerId, topic, partition))
}
def getLeaderReplicaIfLocal(topic: String, partitionId: Int): Replica = {
val partitionOpt = getPartition(topic, partitionId)
partitionOpt match {
case None =>
throw new UnknownTopicOrPartitionException("Partition [%s,%d] doesn't exist on %d".format(topic, partitionId, config.brokerId))
case Some(partition) =>
partition.leaderReplicaIfLocal match {
case Some(leaderReplica) => leaderReplica
case None =>
throw new NotLeaderForPartitionException("Leader not local for partition [%s,%d] on broker %d"
.format(topic, partitionId, config.brokerId))
}
}
}
def getReplica(topic: String, partitionId: Int, replicaId: Int = config.brokerId): Option[Replica] = {
val partitionOpt = getPartition(topic, partitionId)
partitionOpt match {
case None => None
case Some(partition) => partition.getReplica(replicaId)
}
}
/**
* Append messages to leader replicas of the partition, and wait for them to be replicated to other replicas;
* the callback function will be triggered either when timeout or the required acks are satisfied
*/
def appendMessages(timeout: Long,
requiredAcks: Short,
internalTopicsAllowed: Boolean,
messagesPerPartition: Map[TopicPartition, MessageSet],
responseCallback: Map[TopicPartition, PartitionResponse] => Unit) {
if (isValidRequiredAcks(requiredAcks)) {
val sTime = SystemTime.milliseconds
val localProduceResults = appendToLocalLog(internalTopicsAllowed, messagesPerPartition, requiredAcks)
debug("Produce to local log in %d ms".format(SystemTime.milliseconds - sTime))
val produceStatus = localProduceResults.map { case (topicPartition, result) =>
topicPartition ->
ProducePartitionStatus(
result.info.lastOffset + 1, // required offset
new PartitionResponse(result.errorCode, result.info.firstOffset, result.info.timestamp)) // response status
}
if (delayedRequestRequired(requiredAcks, messagesPerPartition, localProduceResults)) {
// create delayed produce operation
val produceMetadata = ProduceMetadata(requiredAcks, produceStatus)
val delayedProduce = new DelayedProduce(timeout, produceMetadata, this, responseCallback)
// create a list of (topic, partition) pairs to use as keys for this delayed produce operation
val producerRequestKeys = messagesPerPartition.keys.map(new TopicPartitionOperationKey(_)).toSeq
// try to complete the request immediately, otherwise put it into the purgatory
// this is because while the delayed produce operation is being created, new
// requests may arrive and hence make this operation completable.
delayedProducePurgatory.tryCompleteElseWatch(delayedProduce, producerRequestKeys)
} else {
// we can respond immediately
val produceResponseStatus = produceStatus.mapValues(status => status.responseStatus)
responseCallback(produceResponseStatus)
}
} else {
// If required.acks is outside accepted range, something is wrong with the client
// Just return an error and don't handle the request at all
val responseStatus = messagesPerPartition.map {
case (topicAndPartition, messageSet) =>
(topicAndPartition -> new PartitionResponse(Errors.INVALID_REQUIRED_ACKS.code,
LogAppendInfo.UnknownLogAppendInfo.firstOffset,
Message.NoTimestamp))
}
responseCallback(responseStatus)
}
}
// If all the following conditions are true, we need to put a delayed produce request and wait for replication to complete
//
// 1. required acks = -1
// 2. there is data to append
// 3. at least one partition append was successful (fewer errors than partitions)
private def delayedRequestRequired(requiredAcks: Short, messagesPerPartition: Map[TopicPartition, MessageSet],
localProduceResults: Map[TopicPartition, LogAppendResult]): Boolean = {
requiredAcks == -1 &&
messagesPerPartition.size > 0 &&
localProduceResults.values.count(_.error.isDefined) < messagesPerPartition.size
}
private def isValidRequiredAcks(requiredAcks: Short): Boolean = {
requiredAcks == -1 || requiredAcks == 1 || requiredAcks == 0
}
/**
* Append the messages to the local replica logs
*/
private def appendToLocalLog(internalTopicsAllowed: Boolean,
messagesPerPartition: Map[TopicPartition, MessageSet],
requiredAcks: Short): Map[TopicPartition, LogAppendResult] = {
trace("Append [%s] to local log ".format(messagesPerPartition))
messagesPerPartition.map { case (topicPartition, messages) =>
BrokerTopicStats.getBrokerTopicStats(topicPartition.topic).totalProduceRequestRate.mark()
BrokerTopicStats.getBrokerAllTopicsStats().totalProduceRequestRate.mark()
// reject appending to internal topics if it is not allowed
if (Topic.isInternal(topicPartition.topic) && !internalTopicsAllowed) {
(topicPartition, LogAppendResult(
LogAppendInfo.UnknownLogAppendInfo,
Some(new InvalidTopicException("Cannot append to internal topic %s".format(topicPartition.topic)))))
} else {
try {
val partitionOpt = getPartition(topicPartition.topic, topicPartition.partition)
val info = partitionOpt match {
case Some(partition) =>
partition.appendMessagesToLeader(messages.asInstanceOf[ByteBufferMessageSet], requiredAcks)
case None => throw new UnknownTopicOrPartitionException("Partition %s doesn't exist on %d"
.format(topicPartition, localBrokerId))
}
val numAppendedMessages =
if (info.firstOffset == -1L || info.lastOffset == -1L)
0
else
info.lastOffset - info.firstOffset + 1
// update stats for successfully appended bytes and messages as bytesInRate and messageInRate
BrokerTopicStats.getBrokerTopicStats(topicPartition.topic).bytesInRate.mark(messages.sizeInBytes)
BrokerTopicStats.getBrokerAllTopicsStats.bytesInRate.mark(messages.sizeInBytes)
BrokerTopicStats.getBrokerTopicStats(topicPartition.topic).messagesInRate.mark(numAppendedMessages)
BrokerTopicStats.getBrokerAllTopicsStats.messagesInRate.mark(numAppendedMessages)
trace("%d bytes written to log %s-%d beginning at offset %d and ending at offset %d"
.format(messages.sizeInBytes, topicPartition.topic, topicPartition.partition, info.firstOffset, info.lastOffset))
(topicPartition, LogAppendResult(info))
} catch {
// NOTE: Failed produce requests metric is not incremented for known exceptions
// it is supposed to indicate un-expected failures of a broker in handling a produce request
case e: KafkaStorageException =>
fatal("Halting due to unrecoverable I/O error while handling produce request: ", e)
Runtime.getRuntime.halt(1)
(topicPartition, null)
case e@ (_: UnknownTopicOrPartitionException |
_: NotLeaderForPartitionException |
_: RecordTooLargeException |
_: RecordBatchTooLargeException |
_: CorruptRecordException |
_: InvalidMessageException |
_: InvalidTimestampException) =>
(topicPartition, LogAppendResult(LogAppendInfo.UnknownLogAppendInfo, Some(e)))
case t: Throwable =>
BrokerTopicStats.getBrokerTopicStats(topicPartition.topic).failedProduceRequestRate.mark()
BrokerTopicStats.getBrokerAllTopicsStats.failedProduceRequestRate.mark()
error("Error processing append operation on partition %s".format(topicPartition), t)
(topicPartition, LogAppendResult(LogAppendInfo.UnknownLogAppendInfo, Some(t)))
}
}
}
}
/**
* Fetch messages from the leader replica, and wait until enough data can be fetched and return;
* the callback function will be triggered either when timeout or required fetch info is satisfied
*/
def fetchMessages(timeout: Long,
replicaId: Int,
fetchMinBytes: Int,
fetchInfo: immutable.Map[TopicAndPartition, PartitionFetchInfo],
responseCallback: Map[TopicAndPartition, FetchResponsePartitionData] => Unit) {
val isFromFollower = replicaId >= 0
val fetchOnlyFromLeader: Boolean = replicaId != Request.DebuggingConsumerId
val fetchOnlyCommitted: Boolean = ! Request.isValidBrokerId(replicaId)
// read from local logs
val logReadResults = readFromLocalLog(fetchOnlyFromLeader, fetchOnlyCommitted, fetchInfo)
// if the fetch comes from the follower,
// update its corresponding log end offset
if(Request.isValidBrokerId(replicaId))
updateFollowerLogReadResults(replicaId, logReadResults)
// check if this fetch request can be satisfied right away
val bytesReadable = logReadResults.values.map(_.info.messageSet.sizeInBytes).sum
val errorReadingData = logReadResults.values.foldLeft(false) ((errorIncurred, readResult) =>
errorIncurred || (readResult.errorCode != Errors.NONE.code))
// respond immediately if 1) fetch request does not want to wait
// 2) fetch request does not require any data
// 3) has enough data to respond
// 4) some error happens while reading data
if(timeout <= 0 || fetchInfo.size <= 0 || bytesReadable >= fetchMinBytes || errorReadingData) {
val fetchPartitionData = logReadResults.mapValues(result =>
FetchResponsePartitionData(result.errorCode, result.hw, result.info.messageSet))
responseCallback(fetchPartitionData)
} else {
// construct the fetch results from the read results
val fetchPartitionStatus = logReadResults.map { case (topicAndPartition, result) =>
(topicAndPartition, FetchPartitionStatus(result.info.fetchOffsetMetadata, fetchInfo.get(topicAndPartition).get))
}
val fetchMetadata = FetchMetadata(fetchMinBytes, fetchOnlyFromLeader, fetchOnlyCommitted, isFromFollower, fetchPartitionStatus)
val delayedFetch = new DelayedFetch(timeout, fetchMetadata, this, responseCallback)
// create a list of (topic, partition) pairs to use as keys for this delayed fetch operation
val delayedFetchKeys = fetchPartitionStatus.keys.map(new TopicPartitionOperationKey(_)).toSeq
// try to complete the request immediately, otherwise put it into the purgatory;
// this is because while the delayed fetch operation is being created, new requests
// may arrive and hence make this operation completable.
delayedFetchPurgatory.tryCompleteElseWatch(delayedFetch, delayedFetchKeys)
}
}
/**
* Read from a single topic/partition at the given offset upto maxSize bytes
*/
def readFromLocalLog(fetchOnlyFromLeader: Boolean,
readOnlyCommitted: Boolean,
readPartitionInfo: Map[TopicAndPartition, PartitionFetchInfo]): Map[TopicAndPartition, LogReadResult] = {
readPartitionInfo.map { case (TopicAndPartition(topic, partition), PartitionFetchInfo(offset, fetchSize)) =>
BrokerTopicStats.getBrokerTopicStats(topic).totalFetchRequestRate.mark()
BrokerTopicStats.getBrokerAllTopicsStats().totalFetchRequestRate.mark()
val partitionDataAndOffsetInfo =
try {
trace("Fetching log segment for topic %s, partition %d, offset %d, size %d".format(topic, partition, offset, fetchSize))
// decide whether to only fetch from leader
val localReplica = if (fetchOnlyFromLeader)
getLeaderReplicaIfLocal(topic, partition)
else
getReplicaOrException(topic, partition)
// decide whether to only fetch committed data (i.e. messages below high watermark)
val maxOffsetOpt = if (readOnlyCommitted)
Some(localReplica.highWatermark.messageOffset)
else
None
/* Read the LogOffsetMetadata prior to performing the read from the log.
* We use the LogOffsetMetadata to determine if a particular replica is in-sync or not.
* Using the log end offset after performing the read can lead to a race condition
* where data gets appended to the log immediately after the replica has consumed from it
* This can cause a replica to always be out of sync.
*/
val initialLogEndOffset = localReplica.logEndOffset
val logReadInfo = localReplica.log match {
case Some(log) =>
log.read(offset, fetchSize, maxOffsetOpt)
case None =>
error("Leader for partition [%s,%d] does not have a local log".format(topic, partition))
FetchDataInfo(LogOffsetMetadata.UnknownOffsetMetadata, MessageSet.Empty)
}
val readToEndOfLog = initialLogEndOffset.messageOffset - logReadInfo.fetchOffsetMetadata.messageOffset <= 0
LogReadResult(logReadInfo, localReplica.highWatermark.messageOffset, fetchSize, readToEndOfLog, None)
} catch {
// NOTE: Failed fetch requests metric is not incremented for known exceptions since it
// is supposed to indicate un-expected failure of a broker in handling a fetch request
case utpe: UnknownTopicOrPartitionException =>
LogReadResult(FetchDataInfo(LogOffsetMetadata.UnknownOffsetMetadata, MessageSet.Empty), -1L, fetchSize, false, Some(utpe))
case nle: NotLeaderForPartitionException =>
LogReadResult(FetchDataInfo(LogOffsetMetadata.UnknownOffsetMetadata, MessageSet.Empty), -1L, fetchSize, false, Some(nle))
case rnae: ReplicaNotAvailableException =>
LogReadResult(FetchDataInfo(LogOffsetMetadata.UnknownOffsetMetadata, MessageSet.Empty), -1L, fetchSize, false, Some(rnae))
case oor : OffsetOutOfRangeException =>
LogReadResult(FetchDataInfo(LogOffsetMetadata.UnknownOffsetMetadata, MessageSet.Empty), -1L, fetchSize, false, Some(oor))
case e: Throwable =>
BrokerTopicStats.getBrokerTopicStats(topic).failedFetchRequestRate.mark()
BrokerTopicStats.getBrokerAllTopicsStats().failedFetchRequestRate.mark()
error("Error processing fetch operation on partition [%s,%d] offset %d".format(topic, partition, offset), e)
LogReadResult(FetchDataInfo(LogOffsetMetadata.UnknownOffsetMetadata, MessageSet.Empty), -1L, fetchSize, false, Some(e))
}
(TopicAndPartition(topic, partition), partitionDataAndOffsetInfo)
}
}
def getMessageFormatVersion(topicAndPartition: TopicAndPartition): Option[Byte] =
getReplica(topicAndPartition.topic, topicAndPartition.partition).flatMap { replica =>
replica.log.map(_.config.messageFormatVersion.messageFormatVersion)
}
def maybeUpdateMetadataCache(correlationId: Int, updateMetadataRequest: UpdateMetadataRequest, metadataCache: MetadataCache) {
replicaStateChangeLock synchronized {
if(updateMetadataRequest.controllerEpoch < controllerEpoch) {
val stateControllerEpochErrorMessage = ("Broker %d received update metadata request with correlation id %d from an " +
"old controller %d with epoch %d. Latest known controller epoch is %d").format(localBrokerId,
correlationId, updateMetadataRequest.controllerId, updateMetadataRequest.controllerEpoch,
controllerEpoch)
stateChangeLogger.warn(stateControllerEpochErrorMessage)
throw new ControllerMovedException(stateControllerEpochErrorMessage)
} else {
metadataCache.updateCache(correlationId, updateMetadataRequest)
controllerEpoch = updateMetadataRequest.controllerEpoch
}
}
}
def becomeLeaderOrFollower(correlationId: Int,leaderAndISRRequest: LeaderAndIsrRequest,
metadataCache: MetadataCache,
onLeadershipChange: (Iterable[Partition], Iterable[Partition]) => Unit): BecomeLeaderOrFollowerResult = {
leaderAndISRRequest.partitionStates.asScala.foreach { case (topicPartition, stateInfo) =>
stateChangeLogger.trace("Broker %d received LeaderAndIsr request %s correlation id %d from controller %d epoch %d for partition [%s,%d]"
.format(localBrokerId, stateInfo, correlationId,
leaderAndISRRequest.controllerId, leaderAndISRRequest.controllerEpoch, topicPartition.topic, topicPartition.partition))
}
replicaStateChangeLock synchronized {
val responseMap = new mutable.HashMap[TopicPartition, Short]
if (leaderAndISRRequest.controllerEpoch < controllerEpoch) {
leaderAndISRRequest.partitionStates.asScala.foreach { case (topicPartition, stateInfo) =>
stateChangeLogger.warn(("Broker %d ignoring LeaderAndIsr request from controller %d with correlation id %d since " +
"its controller epoch %d is old. Latest known controller epoch is %d").format(localBrokerId, leaderAndISRRequest.controllerId,
correlationId, leaderAndISRRequest.controllerEpoch, controllerEpoch))
}
BecomeLeaderOrFollowerResult(responseMap, Errors.STALE_CONTROLLER_EPOCH.code)
} else {
val controllerId = leaderAndISRRequest.controllerId
controllerEpoch = leaderAndISRRequest.controllerEpoch
// First check partition's leader epoch
val partitionState = new mutable.HashMap[Partition, LeaderAndIsrRequest.PartitionState]()
leaderAndISRRequest.partitionStates.asScala.foreach { case (topicPartition, stateInfo) =>
val partition = getOrCreatePartition(topicPartition.topic, topicPartition.partition)
val partitionLeaderEpoch = partition.getLeaderEpoch()
// If the leader epoch is valid record the epoch of the controller that made the leadership decision.
// This is useful while updating the isr to maintain the decision maker controller's epoch in the zookeeper path
if (partitionLeaderEpoch < stateInfo.leaderEpoch) {
if(stateInfo.replicas.contains(config.brokerId))
partitionState.put(partition, stateInfo)
else {
stateChangeLogger.warn(("Broker %d ignoring LeaderAndIsr request from controller %d with correlation id %d " +
"epoch %d for partition [%s,%d] as itself is not in assigned replica list %s")
.format(localBrokerId, controllerId, correlationId, leaderAndISRRequest.controllerEpoch,
topicPartition.topic, topicPartition.partition, stateInfo.replicas.asScala.mkString(",")))
responseMap.put(topicPartition, Errors.UNKNOWN_TOPIC_OR_PARTITION.code)
}
} else {
// Otherwise record the error code in response
stateChangeLogger.warn(("Broker %d ignoring LeaderAndIsr request from controller %d with correlation id %d " +
"epoch %d for partition [%s,%d] since its associated leader epoch %d is old. Current leader epoch is %d")
.format(localBrokerId, controllerId, correlationId, leaderAndISRRequest.controllerEpoch,
topicPartition.topic, topicPartition.partition, stateInfo.leaderEpoch, partitionLeaderEpoch))
responseMap.put(topicPartition, Errors.STALE_CONTROLLER_EPOCH.code)
}
}
val partitionsTobeLeader = partitionState.filter { case (partition, stateInfo) =>
stateInfo.leader == config.brokerId
}
val partitionsToBeFollower = (partitionState -- partitionsTobeLeader.keys)
val partitionsBecomeLeader = if (!partitionsTobeLeader.isEmpty)
makeLeaders(controllerId, controllerEpoch, partitionsTobeLeader, correlationId, responseMap)
else
Set.empty[Partition]
val partitionsBecomeFollower = if (!partitionsToBeFollower.isEmpty)
makeFollowers(controllerId, controllerEpoch, partitionsToBeFollower, correlationId, responseMap, metadataCache)
else
Set.empty[Partition]
// we initialize highwatermark thread after the first leaderisrrequest. This ensures that all the partitions
// have been completely populated before starting the checkpointing there by avoiding weird race conditions
if (!hwThreadInitialized) {
startHighWaterMarksCheckPointThread()
hwThreadInitialized = true
}
replicaFetcherManager.shutdownIdleFetcherThreads()
onLeadershipChange(partitionsBecomeLeader, partitionsBecomeFollower)
BecomeLeaderOrFollowerResult(responseMap, Errors.NONE.code)
}
}
}
/*
* Make the current broker to become leader for a given set of partitions by:
*
* 1. Stop fetchers for these partitions
* 2. Update the partition metadata in cache
* 3. Add these partitions to the leader partitions set
*
* If an unexpected error is thrown in this function, it will be propagated to KafkaApis where
* the error message will be set on each partition since we do not know which partition caused it. Otherwise,
* return the set of partitions that are made leader due to this method
*
* TODO: the above may need to be fixed later
*/
private def makeLeaders(controllerId: Int,
epoch: Int,
partitionState: Map[Partition, LeaderAndIsrRequest.PartitionState],
correlationId: Int,
responseMap: mutable.Map[TopicPartition, Short]): Set[Partition] = {
partitionState.foreach(state =>
stateChangeLogger.trace(("Broker %d handling LeaderAndIsr request correlationId %d from controller %d epoch %d " +
"starting the become-leader transition for partition %s")
.format(localBrokerId, correlationId, controllerId, epoch, TopicAndPartition(state._1.topic, state._1.partitionId))))
for (partition <- partitionState.keys)
responseMap.put(new TopicPartition(partition.topic, partition.partitionId), Errors.NONE.code)
val partitionsToMakeLeaders: mutable.Set[Partition] = mutable.Set()
try {
// First stop fetchers for all the partitions
replicaFetcherManager.removeFetcherForPartitions(partitionState.keySet.map(new TopicAndPartition(_)))
// Update the partition information to be the leader
partitionState.foreach{ case (partition, partitionStateInfo) =>
if (partition.makeLeader(controllerId, partitionStateInfo, correlationId))
partitionsToMakeLeaders += partition
else
stateChangeLogger.info(("Broker %d skipped the become-leader state change after marking its partition as leader with correlation id %d from " +
"controller %d epoch %d for partition %s since it is already the leader for the partition.")
.format(localBrokerId, correlationId, controllerId, epoch, TopicAndPartition(partition.topic, partition.partitionId)));
}
partitionsToMakeLeaders.foreach { partition =>
stateChangeLogger.trace(("Broker %d stopped fetchers as part of become-leader request from controller " +
"%d epoch %d with correlation id %d for partition %s")
.format(localBrokerId, controllerId, epoch, correlationId, TopicAndPartition(partition.topic, partition.partitionId)))
}
} catch {
case e: Throwable =>
partitionState.foreach { state =>
val errorMsg = ("Error on broker %d while processing LeaderAndIsr request correlationId %d received from controller %d" +
" epoch %d for partition %s").format(localBrokerId, correlationId, controllerId, epoch,
TopicAndPartition(state._1.topic, state._1.partitionId))
stateChangeLogger.error(errorMsg, e)
}
// Re-throw the exception for it to be caught in KafkaApis
throw e
}
partitionState.foreach { state =>
stateChangeLogger.trace(("Broker %d completed LeaderAndIsr request correlationId %d from controller %d epoch %d " +
"for the become-leader transition for partition %s")
.format(localBrokerId, correlationId, controllerId, epoch, TopicAndPartition(state._1.topic, state._1.partitionId)))
}
partitionsToMakeLeaders
}
/*
* Make the current broker to become follower for a given set of partitions by:
*
* 1. Remove these partitions from the leader partitions set.
* 2. Mark the replicas as followers so that no more data can be added from the producer clients.
* 3. Stop fetchers for these partitions so that no more data can be added by the replica fetcher threads.
* 4. Truncate the log and checkpoint offsets for these partitions.
* 5. Clear the produce and fetch requests in the purgatory
* 6. If the broker is not shutting down, add the fetcher to the new leaders.
*
* The ordering of doing these steps make sure that the replicas in transition will not
* take any more messages before checkpointing offsets so that all messages before the checkpoint
* are guaranteed to be flushed to disks
*
* If an unexpected error is thrown in this function, it will be propagated to KafkaApis where
* the error message will be set on each partition since we do not know which partition caused it. Otherwise,
* return the set of partitions that are made follower due to this method
*/
private def makeFollowers(controllerId: Int,
epoch: Int,
partitionState: Map[Partition, LeaderAndIsrRequest.PartitionState],
correlationId: Int,
responseMap: mutable.Map[TopicPartition, Short],
metadataCache: MetadataCache) : Set[Partition] = {
partitionState.foreach { state =>
stateChangeLogger.trace(("Broker %d handling LeaderAndIsr request correlationId %d from controller %d epoch %d " +
"starting the become-follower transition for partition %s")
.format(localBrokerId, correlationId, controllerId, epoch, TopicAndPartition(state._1.topic, state._1.partitionId)))
}
for (partition <- partitionState.keys)
responseMap.put(new TopicPartition(partition.topic, partition.partitionId), Errors.NONE.code)
val partitionsToMakeFollower: mutable.Set[Partition] = mutable.Set()
try {
// TODO: Delete leaders from LeaderAndIsrRequest
partitionState.foreach{ case (partition, partitionStateInfo) =>
val newLeaderBrokerId = partitionStateInfo.leader
metadataCache.getAliveBrokers.find(_.id == newLeaderBrokerId) match {
// Only change partition state when the leader is available
case Some(leaderBroker) =>
if (partition.makeFollower(controllerId, partitionStateInfo, correlationId))
partitionsToMakeFollower += partition
else
stateChangeLogger.info(("Broker %d skipped the become-follower state change after marking its partition as follower with correlation id %d from " +
"controller %d epoch %d for partition [%s,%d] since the new leader %d is the same as the old leader")
.format(localBrokerId, correlationId, controllerId, partitionStateInfo.controllerEpoch,
partition.topic, partition.partitionId, newLeaderBrokerId))
case None =>
// The leader broker should always be present in the metadata cache.
// If not, we should record the error message and abort the transition process for this partition
stateChangeLogger.error(("Broker %d received LeaderAndIsrRequest with correlation id %d from controller" +
" %d epoch %d for partition [%s,%d] but cannot become follower since the new leader %d is unavailable.")
.format(localBrokerId, correlationId, controllerId, partitionStateInfo.controllerEpoch,
partition.topic, partition.partitionId, newLeaderBrokerId))
// Create the local replica even if the leader is unavailable. This is required to ensure that we include
// the partition's high watermark in the checkpoint file (see KAFKA-1647)
partition.getOrCreateReplica()
}
}
replicaFetcherManager.removeFetcherForPartitions(partitionsToMakeFollower.map(new TopicAndPartition(_)))
partitionsToMakeFollower.foreach { partition =>
stateChangeLogger.trace(("Broker %d stopped fetchers as part of become-follower request from controller " +
"%d epoch %d with correlation id %d for partition %s")
.format(localBrokerId, controllerId, epoch, correlationId, TopicAndPartition(partition.topic, partition.partitionId)))
}
logManager.truncateTo(partitionsToMakeFollower.map(partition => (new TopicAndPartition(partition), partition.getOrCreateReplica().highWatermark.messageOffset)).toMap)
partitionsToMakeFollower.foreach { partition =>
val topicPartitionOperationKey = new TopicPartitionOperationKey(partition.topic, partition.partitionId)
tryCompleteDelayedProduce(topicPartitionOperationKey)
tryCompleteDelayedFetch(topicPartitionOperationKey)
}
partitionsToMakeFollower.foreach { partition =>
stateChangeLogger.trace(("Broker %d truncated logs and checkpointed recovery boundaries for partition [%s,%d] as part of " +
"become-follower request with correlation id %d from controller %d epoch %d").format(localBrokerId,
partition.topic, partition.partitionId, correlationId, controllerId, epoch))
}
if (isShuttingDown.get()) {
partitionsToMakeFollower.foreach { partition =>
stateChangeLogger.trace(("Broker %d skipped the adding-fetcher step of the become-follower state change with correlation id %d from " +
"controller %d epoch %d for partition [%s,%d] since it is shutting down").format(localBrokerId, correlationId,
controllerId, epoch, partition.topic, partition.partitionId))
}
}
else {
// we do not need to check if the leader exists again since this has been done at the beginning of this process
val partitionsToMakeFollowerWithLeaderAndOffset = partitionsToMakeFollower.map(partition =>
new TopicAndPartition(partition) -> BrokerAndInitialOffset(
metadataCache.getAliveBrokers.find(_.id == partition.leaderReplicaIdOpt.get).get.getBrokerEndPoint(config.interBrokerSecurityProtocol),
partition.getReplica().get.logEndOffset.messageOffset)).toMap
replicaFetcherManager.addFetcherForPartitions(partitionsToMakeFollowerWithLeaderAndOffset)
partitionsToMakeFollower.foreach { partition =>
stateChangeLogger.trace(("Broker %d started fetcher to new leader as part of become-follower request from controller " +
"%d epoch %d with correlation id %d for partition [%s,%d]")
.format(localBrokerId, controllerId, epoch, correlationId, partition.topic, partition.partitionId))
}
}
} catch {
case e: Throwable =>
val errorMsg = ("Error on broker %d while processing LeaderAndIsr request with correlationId %d received from controller %d " +
"epoch %d").format(localBrokerId, correlationId, controllerId, epoch)
stateChangeLogger.error(errorMsg, e)
// Re-throw the exception for it to be caught in KafkaApis
throw e
}
partitionState.foreach { state =>
stateChangeLogger.trace(("Broker %d completed LeaderAndIsr request correlationId %d from controller %d epoch %d " +
"for the become-follower transition for partition %s")
.format(localBrokerId, correlationId, controllerId, epoch, TopicAndPartition(state._1.topic, state._1.partitionId)))
}
partitionsToMakeFollower
}
private def maybeShrinkIsr(): Unit = {
trace("Evaluating ISR list of partitions to see which replicas can be removed from the ISR")
allPartitions.values.foreach(partition => partition.maybeShrinkIsr(config.replicaLagTimeMaxMs))
}
private def updateFollowerLogReadResults(replicaId: Int, readResults: Map[TopicAndPartition, LogReadResult]) {
debug("Recording follower broker %d log read results: %s ".format(replicaId, readResults))
readResults.foreach { case (topicAndPartition, readResult) =>
getPartition(topicAndPartition.topic, topicAndPartition.partition) match {
case Some(partition) =>
partition.updateReplicaLogReadResult(replicaId, readResult)
// for producer requests with ack > 1, we need to check
// if they can be unblocked after some follower's log end offsets have moved
tryCompleteDelayedProduce(new TopicPartitionOperationKey(topicAndPartition))
case None =>
warn("While recording the replica LEO, the partition %s hasn't been created.".format(topicAndPartition))
}
}
}
private def getLeaderPartitions() : List[Partition] = {
allPartitions.values.filter(_.leaderReplicaIfLocal().isDefined).toList
}
// Flushes the highwatermark value for all partitions to the highwatermark file
def checkpointHighWatermarks() {
val replicas = allPartitions.values.flatMap(_.getReplica(config.brokerId))
val replicasByDir = replicas.filter(_.log.isDefined).groupBy(_.log.get.dir.getParentFile.getAbsolutePath)
for ((dir, reps) <- replicasByDir) {
val hwms = reps.map(r => new TopicAndPartition(r) -> r.highWatermark.messageOffset).toMap
try {
highWatermarkCheckpoints(dir).write(hwms)
} catch {
case e: IOException =>
fatal("Error writing to highwatermark file: ", e)
Runtime.getRuntime().halt(1)
}
}
}
// High watermark do not need to be checkpointed only when under unit tests
def shutdown(checkpointHW: Boolean = true) {
info("Shutting down")
replicaFetcherManager.shutdown()
delayedFetchPurgatory.shutdown()
delayedProducePurgatory.shutdown()
if (checkpointHW)
checkpointHighWatermarks()
info("Shut down completely")
}
}
