Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/3026#discussion_r19689220
--- Diff:
streaming/src/main/scala/org/apache/spark/streaming/scheduler/ReceivedBlockTracker.scala
---
@@ -0,0 +1,207 @@
+/*
+ * 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.scheduler
+
+import java.nio.ByteBuffer
+
+import scala.collection.mutable
+import scala.language.implicitConversions
+
+import org.apache.hadoop.conf.Configuration
+import org.apache.hadoop.fs.Path
+
+import org.apache.spark.{Logging, SparkConf}
+import org.apache.spark.storage.StreamBlockId
+import org.apache.spark.streaming.Time
+import org.apache.spark.streaming.util.{Clock, WriteAheadLogManager}
+import org.apache.spark.util.Utils
+
+/** Trait representing any action done in the ReceivedBlockTracker */
+private[streaming] sealed trait ReceivedBlockTrackerAction
+
+private[streaming] case class BlockAddition(receivedBlockInfo:
ReceivedBlockInfo)
+ extends ReceivedBlockTrackerAction
+private[streaming] case class BatchAllocations(time: Time,
allocatedBlocks: AllocatedBlocks)
+ extends ReceivedBlockTrackerAction
+private[streaming] case class BatchCleanup(times: Seq[Time])
+ extends ReceivedBlockTrackerAction
+
+
+/** Class representing the blocks of all the streams allocated to a batch
*/
+case class AllocatedBlocks(streamIdToAllocatedBlocks: Map[Int,
Seq[ReceivedBlockInfo]]) {
+ def apply(streamId: Int) = streamIdToAllocatedBlocks(streamId)
+}
+
+/**
+ * Class that keep track of all the received blocks, and allocate them to
batches
+ * when required. All actions taken by this class can be saved to a write
ahead log,
+ * so that the state of the tracker (received blocks and block-to-batch
allocations)
+ * can be recovered after driver failure.
+ */
+private[streaming]
+class ReceivedBlockTracker(
+ conf: SparkConf, hadoopConf: Configuration, streamIds: Seq[Int],
clock: Clock,
+ checkpointDirOption: Option[String]) extends Logging {
+
+ private type ReceivedBlockQueue = mutable.Queue[ReceivedBlockInfo]
+
+ private val streamIdToUnallocatedBlockInfo = new mutable.HashMap[Int,
ReceivedBlockQueue]
+ private val timeToAllocatedBlockInfo = new mutable.HashMap[Time,
AllocatedBlocks]
+
+ private val logManagerRollingIntervalSecs = conf.getInt(
+
"spark.streaming.receivedBlockTracker.writeAheadLog.rotationIntervalSecs", 60)
+ private val logManagerOption = checkpointDirOption.map { checkpointDir =>
+ new WriteAheadLogManager(
+ ReceivedBlockTracker.checkpointDirToLogDir(checkpointDir),
+ hadoopConf,
+ rollingIntervalSecs = logManagerRollingIntervalSecs,
+ callerName = "ReceivedBlockHandlerMaster",
+ clock = clock
+ )
+ }
+
+ // Recover block information from write ahead logs
+ recoverFromWriteAheadLogs()
+
+ /** Add received block */
+ def addBlock(receivedBlockInfo: ReceivedBlockInfo): Boolean =
synchronized {
--- End diff --
This is a fair point. I wouldnt be surprised if this turns out to be a
problem. Just wondering whether to address that complexity in this PR, or do a
bit more real HDFS testing next week and then change this. What do you think?
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