Thanks, Cody, will try that. Unfortunately due to a reinstall I don't have the original checkpointing directory :( Thanks for the clarification on spark.driver.memory, I'll keep testing (at 2g things seem OK for now).
On Mon, Aug 10, 2015 at 12:10 PM, Cody Koeninger <c...@koeninger.org> wrote: > That looks like it's during recovery from a checkpoint, so it'd be driver > memory not executor memory. > > How big is the checkpoint directory that you're trying to restore from? > > On Mon, Aug 10, 2015 at 10:57 AM, Dmitry Goldenberg < > dgoldenberg...@gmail.com> wrote: > >> We're getting the below error. Tried increasing spark.executor.memory >> e.g. from 1g to 2g but the below error still happens. >> >> Any recommendations? Something to do with specifying -Xmx in the submit >> job scripts? >> >> Thanks. >> >> Exception in thread "main" java.lang.OutOfMemoryError: GC overhead limit >> exceeded >> at java.util.Arrays.copyOf(Arrays.java:3332) >> at >> java.lang.AbstractStringBuilder.expandCapacity(AbstractStringBuilder.java:137) >> at >> java.lang.AbstractStringBuilder.ensureCapacityInternal(AbstractStringBuilder.java:121) >> at java.lang.AbstractStringBuilder.append(AbstractStringBuilder.java:421) >> at java.lang.StringBuilder.append(StringBuilder.java:136) >> at java.lang.StackTraceElement.toString(StackTraceElement.java:173) >> at >> org.apache.spark.util.Utils$$anonfun$getCallSite$1.apply(Utils.scala:1212) >> at >> org.apache.spark.util.Utils$$anonfun$getCallSite$1.apply(Utils.scala:1190) >> at >> scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) >> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108) >> at org.apache.spark.util.Utils$.getCallSite(Utils.scala:1190) >> at >> org.apache.spark.SparkContext$$anonfun$getCallSite$2.apply(SparkContext.scala:1441) >> at >> org.apache.spark.SparkContext$$anonfun$getCallSite$2.apply(SparkContext.scala:1441) >> at scala.Option.getOrElse(Option.scala:120) >> at org.apache.spark.SparkContext.getCallSite(SparkContext.scala:1441) >> at org.apache.spark.rdd.RDD.<init>(RDD.scala:1365) >> at org.apache.spark.streaming.kafka.KafkaRDD.<init>(KafkaRDD.scala:46) >> at >> org.apache.spark.streaming.kafka.DirectKafkaInputDStream$DirectKafkaInputDStreamCheckpointData$$anonfun$restore$2.apply(DirectKafkaInputDStream.scala:155) >> at >> org.apache.spark.streaming.kafka.DirectKafkaInputDStream$DirectKafkaInputDStreamCheckpointData$$anonfun$restore$2.apply(DirectKafkaInputDStream.scala:153) >> at >> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) >> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) >> at >> org.apache.spark.streaming.kafka.DirectKafkaInputDStream$DirectKafkaInputDStreamCheckpointData.restore(DirectKafkaInputDStream.scala:153) >> at >> org.apache.spark.streaming.dstream.DStream.restoreCheckpointData(DStream.scala:402) >> at >> org.apache.spark.streaming.dstream.DStream$$anonfun$restoreCheckpointData$2.apply(DStream.scala:403) >> at >> org.apache.spark.streaming.dstream.DStream$$anonfun$restoreCheckpointData$2.apply(DStream.scala:403) >> at scala.collection.immutable.List.foreach(List.scala:318) >> at >> org.apache.spark.streaming.dstream.DStream.restoreCheckpointData(DStream.scala:403) >> at >> org.apache.spark.streaming.dstream.DStream$$anonfun$restoreCheckpointData$2.apply(DStream.scala:403) >> at >> org.apache.spark.streaming.dstream.DStream$$anonfun$restoreCheckpointData$2.apply(DStream.scala:403) >> at scala.collection.immutable.List.foreach(List.scala:318) >> at >> org.apache.spark.streaming.dstream.DStream.restoreCheckpointData(DStream.scala:403) >> at >> org.apache.spark.streaming.DStreamGraph$$anonfun$restoreCheckpointData$2.apply(DStreamGraph.scala:149) >> >> >> >> >
