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author | Tathagata Das <tathagata.das1565@gmail.com> | 2015-11-24 23:13:01 -0800 |
---|---|---|
committer | Shixiong Zhu <shixiong@databricks.com> | 2015-11-24 23:13:01 -0800 |
commit | 2169886883d33b33acf378ac42a626576b342df1 (patch) | |
tree | c1b94aab923d9d5d605f940dc489a19518249534 /streaming/src/test/scala/org | |
parent | 151d7c2baf18403e6e59e97c80c8bcded6148038 (diff) | |
download | spark-2169886883d33b33acf378ac42a626576b342df1.tar.gz spark-2169886883d33b33acf378ac42a626576b342df1.tar.bz2 spark-2169886883d33b33acf378ac42a626576b342df1.zip |
[SPARK-11979][STREAMING] Empty TrackStateRDD cannot be checkpointed and recovered from checkpoint file
This solves the following exception caused when empty state RDD is checkpointed and recovered. The root cause is that an empty OpenHashMapBasedStateMap cannot be deserialized as the initialCapacity is set to zero.
```
Job aborted due to stage failure: Task 0 in stage 6.0 failed 1 times, most recent failure: Lost task 0.0 in stage 6.0 (TID 20, localhost): java.lang.IllegalArgumentException: requirement failed: Invalid initial capacity
at scala.Predef$.require(Predef.scala:233)
at org.apache.spark.streaming.util.OpenHashMapBasedStateMap.<init>(StateMap.scala:96)
at org.apache.spark.streaming.util.OpenHashMapBasedStateMap.<init>(StateMap.scala:86)
at org.apache.spark.streaming.util.OpenHashMapBasedStateMap.readObject(StateMap.scala:291)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1017)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1893)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:76)
at org.apache.spark.serializer.DeserializationStream$$anon$1.getNext(Serializer.scala:181)
at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73)
at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
at scala.collection.AbstractIterator.to(Iterator.scala:1157)
at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:921)
at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:921)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1858)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1858)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:744)
```
Author: Tathagata Das <tathagata.das1565@gmail.com>
Closes #9958 from tdas/SPARK-11979.
Diffstat (limited to 'streaming/src/test/scala/org')
-rw-r--r-- | streaming/src/test/scala/org/apache/spark/streaming/StateMapSuite.scala | 30 | ||||
-rw-r--r-- | streaming/src/test/scala/org/apache/spark/streaming/rdd/TrackStateRDDSuite.scala | 10 |
2 files changed, 30 insertions, 10 deletions
diff --git a/streaming/src/test/scala/org/apache/spark/streaming/StateMapSuite.scala b/streaming/src/test/scala/org/apache/spark/streaming/StateMapSuite.scala index 48d3b41b66..c4a01eaea7 100644 --- a/streaming/src/test/scala/org/apache/spark/streaming/StateMapSuite.scala +++ b/streaming/src/test/scala/org/apache/spark/streaming/StateMapSuite.scala @@ -122,23 +122,27 @@ class StateMapSuite extends SparkFunSuite { test("OpenHashMapBasedStateMap - serializing and deserializing") { val map1 = new OpenHashMapBasedStateMap[Int, Int]() + testSerialization(map1, "error deserializing and serialized empty map") + map1.put(1, 100, 1) map1.put(2, 200, 2) + testSerialization(map1, "error deserializing and serialized map with data + no delta") val map2 = map1.copy() + // Do not test compaction + assert(map2.asInstanceOf[OpenHashMapBasedStateMap[_, _]].shouldCompact === false) + testSerialization(map2, "error deserializing and serialized map with 1 delta + no new data") + map2.put(3, 300, 3) map2.put(4, 400, 4) + testSerialization(map2, "error deserializing and serialized map with 1 delta + new data") val map3 = map2.copy() + assert(map3.asInstanceOf[OpenHashMapBasedStateMap[_, _]].shouldCompact === false) + testSerialization(map3, "error deserializing and serialized map with 2 delta + no new data") map3.put(3, 600, 3) map3.remove(2) - - // Do not test compaction - assert(map3.asInstanceOf[OpenHashMapBasedStateMap[_, _]].shouldCompact === false) - - val deser_map3 = Utils.deserialize[StateMap[Int, Int]]( - Utils.serialize(map3), Thread.currentThread().getContextClassLoader) - assertMap(deser_map3, map3, 1, "Deserialized map not same as original map") + testSerialization(map3, "error deserializing and serialized map with 2 delta + new data") } test("OpenHashMapBasedStateMap - serializing and deserializing with compaction") { @@ -156,11 +160,9 @@ class StateMapSuite extends SparkFunSuite { assert(map.deltaChainLength > deltaChainThreshold) assert(map.shouldCompact === true) - val deser_map = Utils.deserialize[OpenHashMapBasedStateMap[Int, Int]]( - Utils.serialize(map), Thread.currentThread().getContextClassLoader) + val deser_map = testSerialization(map, "Deserialized + compacted map not same as original map") assert(deser_map.deltaChainLength < deltaChainThreshold) assert(deser_map.shouldCompact === false) - assertMap(deser_map, map, 1, "Deserialized + compacted map not same as original map") } test("OpenHashMapBasedStateMap - all possible sequences of operations with copies ") { @@ -265,6 +267,14 @@ class StateMapSuite extends SparkFunSuite { assertMap(stateMap, refMap.toMap, time, "Final state map does not match reference map") } + private def testSerialization[MapType <: StateMap[Int, Int]]( + map: MapType, msg: String): MapType = { + val deserMap = Utils.deserialize[MapType]( + Utils.serialize(map), Thread.currentThread().getContextClassLoader) + assertMap(deserMap, map, 1, msg) + deserMap + } + // Assert whether all the data and operations on a state map matches that of a reference state map private def assertMap( mapToTest: StateMap[Int, Int], diff --git a/streaming/src/test/scala/org/apache/spark/streaming/rdd/TrackStateRDDSuite.scala b/streaming/src/test/scala/org/apache/spark/streaming/rdd/TrackStateRDDSuite.scala index 0feb3af1ab..3b2d43f2ce 100644 --- a/streaming/src/test/scala/org/apache/spark/streaming/rdd/TrackStateRDDSuite.scala +++ b/streaming/src/test/scala/org/apache/spark/streaming/rdd/TrackStateRDDSuite.scala @@ -332,6 +332,16 @@ class TrackStateRDDSuite extends SparkFunSuite with RDDCheckpointTester with Bef makeStateRDDWithLongLineageParenttateRDD, reliableCheckpoint = true, rddCollectFunc _) } + test("checkpointing empty state RDD") { + val emptyStateRDD = TrackStateRDD.createFromPairRDD[Int, Int, Int, Int]( + sc.emptyRDD[(Int, Int)], new HashPartitioner(10), Time(0)) + emptyStateRDD.checkpoint() + assert(emptyStateRDD.flatMap { _.stateMap.getAll() }.collect().isEmpty) + val cpRDD = sc.checkpointFile[TrackStateRDDRecord[Int, Int, Int]]( + emptyStateRDD.getCheckpointFile.get) + assert(cpRDD.flatMap { _.stateMap.getAll() }.collect().isEmpty) + } + /** Assert whether the `trackStateByKey` operation generates expected results */ private def assertOperation[K: ClassTag, V: ClassTag, S: ClassTag, T: ClassTag]( testStateRDD: TrackStateRDD[K, V, S, T], |