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Copy content of KinesisReceiver implementation from Spark original …
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…repository at the following point in time (`branch-2.4`):

https://github.com/apache/spark/blob/4be566062defa249435c4d72eb106fe7b933e023/external/kinesis-asl/src/main/scala/org/apache/spark/streaming/kinesis/KinesisReceiver.scala

This commit can be used as a point of reference to easily see the changes we applied to the original implementation.
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julienrf committed Apr 16, 2024
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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 org.apache.spark.streaming.kinesis

import java.util.concurrent._

import scala.util.control.NonFatal

import com.amazonaws.services.kinesis.clientlibrary.interfaces.IRecordProcessorCheckpointer
import com.amazonaws.services.kinesis.clientlibrary.lib.worker.ShutdownReason

import org.apache.spark.internal.Logging
import org.apache.spark.streaming.Duration
import org.apache.spark.streaming.util.RecurringTimer
import org.apache.spark.util.{Clock, SystemClock}

/**
* This is a helper class for managing Kinesis checkpointing.
*
* @param receiver The receiver that keeps track of which sequence numbers we can checkpoint
* @param checkpointInterval How frequently we will checkpoint to DynamoDB
* @param workerId Worker Id of KCL worker for logging purposes
* @param clock In order to use ManualClocks for the purpose of testing
*/
private[kinesis] class KinesisCheckpointer(
receiver: KinesisReceiver[_],
checkpointInterval: Duration,
workerId: String,
clock: Clock = new SystemClock) extends Logging {

// a map from shardId's to checkpointers
private val checkpointers = new ConcurrentHashMap[String, IRecordProcessorCheckpointer]()

private val lastCheckpointedSeqNums = new ConcurrentHashMap[String, String]()

private val checkpointerThread: RecurringTimer = startCheckpointerThread()

/** Update the checkpointer instance to the most recent one for the given shardId. */
def setCheckpointer(shardId: String, checkpointer: IRecordProcessorCheckpointer): Unit = {
checkpointers.put(shardId, checkpointer)
}

/**
* Stop tracking the specified shardId.
*
* If a checkpointer is provided, e.g. on IRecordProcessor.shutdown [[ShutdownReason.TERMINATE]],
* we will use that to make the final checkpoint. If `null` is provided, we will not make the
* checkpoint, e.g. in case of [[ShutdownReason.ZOMBIE]].
*/
def removeCheckpointer(shardId: String, checkpointer: IRecordProcessorCheckpointer): Unit = {
synchronized {
checkpointers.remove(shardId)
}
if (checkpointer != null) {
try {
// We must call `checkpoint()` with no parameter to finish reading shards.
// See a URL below for details:
// https://forums.aws.amazon.com/thread.jspa?threadID=244218
KinesisRecordProcessor.retryRandom(checkpointer.checkpoint(), 4, 100)
} catch {
case NonFatal(e) =>
logError(s"Exception: WorkerId $workerId encountered an exception while checkpointing" +
s"to finish reading a shard of $shardId.", e)
// Rethrow the exception to the Kinesis Worker that is managing this RecordProcessor
throw e
}
}
}

/** Perform the checkpoint. */
private def checkpoint(shardId: String, checkpointer: IRecordProcessorCheckpointer): Unit = {
try {
if (checkpointer != null) {
receiver.getLatestSeqNumToCheckpoint(shardId).foreach { latestSeqNum =>
val lastSeqNum = lastCheckpointedSeqNums.get(shardId)
// Kinesis sequence numbers are monotonically increasing strings, therefore we can do
// safely do the string comparison
if (lastSeqNum == null || latestSeqNum > lastSeqNum) {
/* Perform the checkpoint */
KinesisRecordProcessor.retryRandom(checkpointer.checkpoint(latestSeqNum), 4, 100)
logDebug(s"Checkpoint: WorkerId $workerId completed checkpoint at sequence number" +
s" $latestSeqNum for shardId $shardId")
lastCheckpointedSeqNums.put(shardId, latestSeqNum)
}
}
} else {
logDebug(s"Checkpointing skipped for shardId $shardId. Checkpointer not set.")
}
} catch {
case NonFatal(e) =>
logWarning(s"Failed to checkpoint shardId $shardId to DynamoDB.", e)
}
}

/** Checkpoint the latest saved sequence numbers for all active shardId's. */
private def checkpointAll(): Unit = synchronized {
// if this method throws an exception, then the scheduled task will not run again
try {
val shardIds = checkpointers.keys()
while (shardIds.hasMoreElements) {
val shardId = shardIds.nextElement()
checkpoint(shardId, checkpointers.get(shardId))
}
} catch {
case NonFatal(e) =>
logWarning("Failed to checkpoint to DynamoDB.", e)
}
}

/**
* Start the checkpointer thread with the given checkpoint duration.
*/
private def startCheckpointerThread(): RecurringTimer = {
val period = checkpointInterval.milliseconds
val threadName = s"Kinesis Checkpointer - Worker $workerId"
val timer = new RecurringTimer(clock, period, _ => checkpointAll(), threadName)
timer.start()
logDebug(s"Started checkpointer thread: $threadName")
timer
}

/**
* Shutdown the checkpointer. Should be called on the onStop of the Receiver.
*/
def shutdown(): Unit = {
// the recurring timer checkpoints for us one last time.
checkpointerThread.stop(interruptTimer = false)
checkpointers.clear()
lastCheckpointedSeqNums.clear()
logInfo("Successfully shutdown Kinesis Checkpointer.")
}
}
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