Github user ahmed-mahran commented on a diff in the pull request:
https://github.com/apache/spark/pull/13866#discussion_r68323120
--- Diff:
streaming/src/test/scala/org/apache/spark/streaming/StreamingContextSuite.scala
---
@@ -327,6 +329,50 @@ class StreamingContextSuite extends SparkFunSuite with
BeforeAndAfter with Timeo
}
}
+ test("stop gracefully - clear all metadata") {
+ val conf = new SparkConf().setMaster(master).setAppName(appName)
+ conf.set("spark.dummyTimeConfig", "3600s")
+ conf.set("spark.streaming.gracefulStopTimeout", "15s")
+ sc = new SparkContext(conf)
+ for (i <- 1 to 4) {
+ logInfo("==================================\n\n\n")
+ ssc = new StreamingContext(sc, Milliseconds(100))
+ val checkpointDirectory = Utils.createTempDir().getAbsolutePath()
+ ssc.checkpoint(checkpointDirectory)
+ val rddsArray = new CopyOnWriteArrayList[BlockRDD[_]]()
+ TestReceiver.counter.set(1)
+ val input = ssc.receiverStream(new TestReceiver)
+ input.checkpoint(Seconds(1)).foreachRDD { rdd =>
+ rdd match {
+ case blockRDD: BlockRDD[_] =>
+ rddsArray.add(blockRDD)
+ blockRDD.count
+ }
+ }
+ ssc.start()
+ // wait for enough jobs to be generated
+ Thread.sleep(5000)
+ eventually(timeout(5.seconds), interval(10.millis)) {
+ assert(rddsArray.size > 0)
+ }
+ ssc.stop(stopSparkContext = false, stopGracefully = true)
+ Utils.deleteRecursively(new File(checkpointDirectory))
+ val rdds = rddsArray.toArray.map(_.asInstanceOf[BlockRDD[_]]).toSeq
--- End diff --
Here, I just wanted a Scala friendly version of the collection, `toArray`
returns an array of `Object` hence the cast ... will use
`JavaConversions.collectionAsScalaIterable(generatedRDDs)`
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