Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/5680#discussion_r29408816
--- Diff:
streaming/src/main/scala/org/apache/spark/streaming/scheduler/InputInfoTracker.scala
---
@@ -0,0 +1,74 @@
+/*
+ * 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 scala.collection.mutable
+
+import org.apache.spark.Logging
+import org.apache.spark.streaming.{Time, StreamingContext}
+
+/** To track the information of input stream at specified batch time. */
+case class InputInfo(batchTime: Time, inputStreamId: Int, numRecords: Long)
+
+/**
+ * This class manages all the input streams as well as their input data
statistics. The information
+ * will output to StreamingListener to better monitoring.
+ */
+private[streaming] class InputInfoTracker(ssc: StreamingContext) extends
Logging {
+
+ /** Track all the input streams registered in DStreamGraph */
+ val inputStreams = ssc.graph.getInputStreams()
+ /** Track all the id of input streams registered in DStreamGraph */
+ val inputStreamIds = inputStreams.map(_.id)
+
+ // Map to track all the InputInfo related to specific batch time and
input stream.
+ private val batchTimeToInputInfos = new mutable.HashMap[Time,
mutable.HashMap[Int, InputInfo]]
+
+ /** Report the input information with batch time to the tracker */
+ def reportInfo(batchTime: Time, inputInfo: InputInfo): Unit =
synchronized {
+ val inputInfos = batchTimeToInputInfos.getOrElseUpdate(batchTime,
+ new mutable.HashMap[Int, InputInfo]())
+
+ if (inputInfos.contains(inputInfo.inputStreamId)) {
+ throw new IllegalStateException(s"Input stream
${inputInfo.inputStreamId}} for batch" +
+ s"$batchTime is already added into InputInfoTracker, this is a
illegal state")
+ }
+ inputInfos += ((inputInfo.inputStreamId, inputInfo))
+ }
+
+ /** Get the all the input stream's information of specified batch time */
+ def getInfo(batchTime: Time): Map[Int, InputInfo] = synchronized {
+ val inputInfos = batchTimeToInputInfos.get(batchTime)
+ // Convert mutable HashMap to immutable Map for the caller
+ inputInfos.map(_.toMap).getOrElse(Map[Int, InputInfo]())
+ }
+
+ /** Get the input information of specified batch time and input stream
id */
+ def getInfoOfBatchAndStream(batchTime: Time, inputStreamId: Int
--- End diff --
This is not used anywhere other than tests, is this necessary?
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