Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/10744#discussion_r50178908
--- Diff:
external/akka/src/main/scala/org/apache/spark/streaming/akka/AkkaUtils.scala ---
@@ -0,0 +1,237 @@
+/*
+ * 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.akka
+
+import scala.reflect.ClassTag
+
+import akka.actor.{ActorSystem, Props, SupervisorStrategy}
+
+import org.apache.spark.api.java.function.{Function0 => JFunction0}
+import org.apache.spark.storage.StorageLevel
+import org.apache.spark.streaming.StreamingContext
+import org.apache.spark.streaming.api.java.{JavaReceiverInputDStream,
JavaStreamingContext}
+import org.apache.spark.streaming.dstream.ReceiverInputDStream
+
+object AkkaUtils {
+
+ /**
+ * Create an input stream with a user-defined actor. See
[[ActorReceiver]] for more details.
+ *
+ * @param ssc The StreamingContext instance
+ * @param propsForActor Props object defining creation of the actor
+ * @param actorName Name of the actor
+ * @param storageLevel RDD storage level (default:
StorageLevel.MEMORY_AND_DISK_SER_2)
+ * @param actorSystemCreator A function to create ActorSystem in
executors. `ActorSystem` will
+ * be shut down when the receiver is stopping
(default:
+ * ActorReceiver.defaultActorSystemCreator)
+ * @param supervisorStrategy the supervisor strategy (default:
ActorReceiver.defaultStrategy)
+ *
+ * @note An important point to note:
+ * Since Actor may exist outside the spark framework, It is thus
user's responsibility
+ * to ensure the type safety, i.e. parametrized type of data
received and createStream
+ * should be same.
+ */
+ def createStream[T: ClassTag](
+ ssc: StreamingContext,
+ propsForActor: Props,
+ actorName: String,
+ storageLevel: StorageLevel = StorageLevel.MEMORY_AND_DISK_SER_2,
+ actorSystemCreator: () => ActorSystem =
ActorReceiver.defaultActorSystemCreator,
+ supervisorStrategy: SupervisorStrategy =
ActorReceiver.defaultStrategy
+ ): ReceiverInputDStream[T] = ssc.withNamedScope("actor stream") {
+ val cleanF = ssc.sc.clean(actorSystemCreator)
+ ssc.receiverStream(new ActorReceiverSupervisor[T](
+ cleanF,
+ propsForActor,
+ actorName,
+ storageLevel,
+ supervisorStrategy))
+ }
+
+ /**
+ * Create an input stream with a user-defined actor. See
[[JavaActorReceiver]] for more details.
+ *
+ * @param jssc The StreamingContext instance
+ * @param propsForActor Props object defining creation of the actor
+ * @param actorName Name of the actor
+ * @param storageLevel Storage level to use for storing the received
objects
+ * @param supervisorStrategy the supervisor strategy
+ *
+ * @note An important point to note:
+ * Since Actor may exist outside the spark framework, It is thus
user's responsibility
+ * to ensure the type safety, i.e. parametrized type of data
received and createStream
+ * should be same.
+ */
+ def createStream[T](
+ jssc: JavaStreamingContext,
+ propsForActor: Props,
+ actorName: String,
+ storageLevel: StorageLevel,
+ supervisorStrategy: SupervisorStrategy
+ ): JavaReceiverInputDStream[T] = {
+ implicit val cm: ClassTag[T] =
+ implicitly[ClassTag[AnyRef]].asInstanceOf[ClassTag[T]]
+ createStream[T](
+ jssc.ssc,
+ propsForActor,
+ actorName,
+ storageLevel,
+ supervisorStrategy = supervisorStrategy)
+ }
+
+ /**
+ * Create an input stream with a user-defined actor. See
[[JavaActorReceiver]] for more details.
+ *
+ * @param jssc The StreamingContext instance
+ * @param propsForActor Props object defining creation of the actor
+ * @param actorName Name of the actor
+ * @param storageLevel Storage level to use for storing the received
objects
+ * @param actorSystemCreator A function to create ActorSystem in
executors. `ActorSystem` will
+ * be shut down when the receiver is stopping.
+ * @param supervisorStrategy the supervisor strategy
+ *
+ * @note An important point to note:
+ * Since Actor may exist outside the spark framework, It is thus
user's responsibility
+ * to ensure the type safety, i.e. parametrized type of data
received and createStream
+ * should be same.
+ */
+ def createStream[T](
+ jssc: JavaStreamingContext,
+ propsForActor: Props,
+ actorName: String,
+ storageLevel: StorageLevel,
+ actorSystemCreator: JFunction0[ActorSystem],
+ supervisorStrategy: SupervisorStrategy
+ ): JavaReceiverInputDStream[T] = {
+ implicit val cm: ClassTag[T] =
+ implicitly[ClassTag[AnyRef]].asInstanceOf[ClassTag[T]]
+ createStream[T](
+ jssc.ssc,
+ propsForActor,
+ actorName,
+ storageLevel,
+ () => actorSystemCreator.call(),
+ supervisorStrategy)
+ }
+
+ /**
+ * Create an input stream with a user-defined actor. See
[[JavaActorReceiver]] for more details.
+ *
+ * @param jssc The StreamingContext instance
+ * @param propsForActor Props object defining creation of the actor
+ * @param actorName Name of the actor
+ * @param storageLevel Storage level to use for storing the received
objects
+ *
+ * @note An important point to note:
+ * Since Actor may exist outside the spark framework, It is thus
user's responsibility
+ * to ensure the type safety, i.e. parametrized type of data
received and createStream
+ * should be same.
+ */
+ def createStream[T](
+ jssc: JavaStreamingContext,
+ propsForActor: Props,
+ actorName: String,
+ storageLevel: StorageLevel
+ ): JavaReceiverInputDStream[T] = {
+ implicit val cm: ClassTag[T] =
+ implicitly[ClassTag[AnyRef]].asInstanceOf[ClassTag[T]]
+ createStream[T](jssc.ssc, propsForActor, actorName, storageLevel)
+ }
+
+ /**
+ * Create an input stream with a user-defined actor. See
[[JavaActorReceiver]] for more details.
+ *
+ * @param jssc The StreamingContext instance
+ * @param propsForActor Props object defining creation of the actor
+ * @param actorName Name of the actor
+ * @param storageLevel Storage level to use for storing the received
objects
+ * @param actorSystemCreator A function to create ActorSystem in
executors. `ActorSystem` will
+ * be shut down when the receiver is stopping.
+ *
+ * @note An important point to note:
+ * Since Actor may exist outside the spark framework, It is thus
user's responsibility
+ * to ensure the type safety, i.e. parametrized type of data
received and createStream
+ * should be same.
+ */
+ def createStream[T](
+ jssc: JavaStreamingContext,
+ propsForActor: Props,
+ actorName: String,
+ storageLevel: StorageLevel,
+ actorSystemCreator: JFunction0[ActorSystem]
+ ): JavaReceiverInputDStream[T] = {
+ implicit val cm: ClassTag[T] =
+ implicitly[ClassTag[AnyRef]].asInstanceOf[ClassTag[T]]
+ createStream[T](
+ jssc.ssc, propsForActor, actorName, storageLevel, () =>
actorSystemCreator.call())
+ }
+
+ /**
+ * Create an input stream with a user-defined actor. Storage level of
the data will be the default
+ * StorageLevel.MEMORY_AND_DISK_SER_2. See [[JavaActorReceiver]] for
more details.
+ *
+ * @param jssc The StreamingContext instance
+ * @param propsForActor Props object defining creation of the actor
+ * @param actorName Name of the actor
+ *
+ * @note An important point to note:
+ * Since Actor may exist outside the spark framework, It is thus
user's responsibility
+ * to ensure the type safety, i.e. parametrized type of data
received and createStream
+ * should be same.
+ */
+ def createStream[T](
+ jssc: JavaStreamingContext,
+ propsForActor: Props,
+ actorName: String
+ ): JavaReceiverInputDStream[T] = {
+ implicit val cm: ClassTag[T] =
+ implicitly[ClassTag[AnyRef]].asInstanceOf[ClassTag[T]]
+ createStream[T](jssc.ssc, propsForActor, actorName)
+ }
+
+ /**
+ * Create an input stream with a user-defined actor. Storage level of
the data will be the default
+ * StorageLevel.MEMORY_AND_DISK_SER_2. See [[JavaActorReceiver]] for
more details.
+ *
+ * @param jssc The StreamingContext instance
+ * @param propsForActor Props object defining creation of the actor
+ * @param actorName Name of the actor
+ * @param actorSystemCreator A function to create ActorSystem in
executors. `ActorSystem` will
+ * be shut down when the receiver is stopping.
+ *
+ * @note An important point to note:
+ * Since Actor may exist outside the spark framework, It is thus
user's responsibility
+ * to ensure the type safety, i.e. parametrized type of data
received and createStream
+ * should be same.
+ */
+ def createStream[T](
+ jssc: JavaStreamingContext,
+ propsForActor: Props,
+ actorName: String,
+ actorSystemCreator: JFunction0[ActorSystem]
--- End diff --
Too many variations for the Java one. Let's just have 3.
1> props, name
2> 1 + storage level // for Advanced Spark users
3> 2 + actorSystemCreator + supervisorStrategy // for advanced Spark and
Akka users
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