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)
