java.lang.OutOfMemoryError

GC overhead limit exceeded

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    • java.lang.OutOfMemoryError: GC overhead limit exceeded at scala.collection.mutable.ListBuffer.$plus$eq(ListBuffer.scala:168) at scala.collection.mutable.ListBuffer.$plus$eq(ListBuffer.scala:45) at scala.collection.generic.Growable$$anonfun$$plus$plus$eq$1.apply(Growable.scala:48) at scala.collection.generic.Growable$$anonfun$$plus$plus$eq$1.apply(Growable.scala:48) at scala.collection.immutable.List.foreach(List.scala:318) at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48) at scala.collection.mutable.ListBuffer.$plus$plus$eq(ListBuffer.scala:176) at scala.collection.immutable.List.$colon$colon$colon(List.scala:127) at scala.collection.immutable.List.$plus$plus(List.scala:193) at scala.collection.SeqLike$class.union(SeqLike.scala:417) at scala.collection.AbstractSeq.union(Seq.scala:40) at com.centrality.kBC.KBetweenness$.com$centrality$kBC$KBetweenness$$messageCombiner$1(KBetweenness.scala:54) at com.centrality.kBC.KBetweenness$$anonfun$createKGraphlets$3.apply(KBetweenness.scala:60) at com.centrality.kBC.KBetweenness$$anonfun$createKGraphlets$3.apply(KBetweenness.scala:60) at org.apache.spark.graphx.impl.AggregatingEdgeContext.send(EdgePartition.scala:536) at org.apache.spark.graphx.impl.AggregatingEdgeContext.sendToSrc(EdgePartition.scala:528) at org.apache.spark.graphx.impl.GraphImpl$$anonfun$org$apache$spark$graphx$impl$GraphImpl$$sendMsg$1$1.apply(GraphImpl.scala:201) at org.apache.spark.graphx.impl.GraphImpl$$anonfun$org$apache$spark$graphx$impl$GraphImpl$$sendMsg$1$1.apply(GraphImpl.scala:197) at scala.collection.Iterator$class.foreach(Iterator.scala:727) at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) at org.apache.spark.graphx.impl.GraphImpl.org$apache$spark$graphx$impl$GraphImpl$$sendMsg$1(GraphImpl.scala:197) at org.apache.spark.graphx.impl.GraphImpl$$anonfun$mapReduceTriplets$1.apply(GraphImpl.scala:213) at org.apache.spark.graphx.impl.GraphImpl$$anonfun$mapReduceTriplets$1.apply(GraphImpl.scala:213) at org.apache.spark.graphx.impl.EdgePartition.aggregateMessagesEdgeScan(EdgePartition.scala:409) at org.apache.spark.graphx.impl.GraphImpl$$anonfun$13$$anonfun$apply$3.apply(GraphImpl.scala:245) at org.apache.spark.graphx.impl.GraphImpl$$anonfun$13$$anonfun$apply$3.apply(GraphImpl.scala:235) at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371) at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:126) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) at org.apache.spark.scheduler.Task.run(Task.scala:89) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)

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