Nice, we currently encounter a stackoverflow error caused by this bug. We also found that "val partitionsRDD: RDD[(PartitionID, EdgePartition[ED, VD])], val targetStorageLevel: StorageLevel = StorageLevel.MEMORY_ONLY)" will not be serialized even without adding @transient.
However, transient can affect the JVM stack. Our guess is that: If we do not add @transient, the pointers of "partitionsRDD" and "targetStorageLevel" will be kept in the stack. Or else, the stack will not keep any information of the two variables during serialization/deserialization. I'm wondering whether the guess is right. 2014-11-11 11:16 GMT+08:00 GuoQiang Li <wi...@qq.com>: > I have been trying to fix this bug. > The related PR: > https://github.com/apache/spark/pull/2631 > > ------------------ Original ------------------ > *From: * "Xu Lijie";<lijie....@gmail.com>; > *Date: * Tue, Nov 11, 2014 10:19 AM > *To: * "user"<u...@spark.apache.org>; "dev"<dev@spark.apache.org>; > *Subject: * Checkpoint bugs in GraphX > > Hi, all. I'm not sure whether someone has reported this bug: > > > There should be a checkpoint() method in EdgeRDD and VertexRDD as follows: > > override def checkpoint(): Unit = { partitionsRDD.checkpoint() } > > > Current EdgeRDD and VertexRDD use *RDD.checkpoint()*, which only checkpoint > the edges/vertices but not the critical partitionsRDD. > > > Also, the variables (partitionsRDD and targetStroageLevel) in EdgeRDD and > VertexRDD should be transient. > > class EdgeRDD[@specialized ED: ClassTag, VD: ClassTag]( @transient val > partitionsRDD: RDD[(PartitionID, EdgePartition[ED, VD])], @transient val > targetStorageLevel: StorageLevel = StorageLevel.MEMORY_ONLY) extends > RDD[Edge[ED]](partitionsRDD.context, List(new > OneToOneDependency(partitionsRDD))) { > > > class VertexRDD[@specialized VD: ClassTag]( @transient val partitionsRDD: > RDD[ShippableVertexPartition[VD]], @transient val targetStorageLevel: > StorageLevel = StorageLevel.MEMORY_ONLY) extends RDD[(VertexId, > VD)](partitionsRDD.context, List(new OneToOneDependency(partitionsRDD))) { > > > These two bugs usually lead to stackoverflow error in iterative application > written by GraphX. > >
