Hi all, I faced with the next exception during map step: java.lang.OutOfMemoryError (java.lang.OutOfMemoryError: GC overhead limit exceeded) java.lang.reflect.Array.newInstance(Array.java:70) com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ObjectArraySerializer.read(DefaultArraySerializers.java:325) com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ObjectArraySerializer.read(DefaultArraySerializers.java:293) com.esotericsoftware.kryo.Kryo.readObjectOrNull(Kryo.java:699) com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.read(FieldSerializer.java:611) com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:221) com.esotericsoftware.kryo.Kryo.readObject(Kryo.java:648) com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.read(FieldSerializer.java:605) com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:221) com.esotericsoftware.kryo.Kryo.readObject(Kryo.java:648) com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.read(FieldSerializer.java:605) com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:221) com.esotericsoftware.kryo.Kryo.readObject(Kryo.java:648) com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.read(FieldSerializer.java:605) com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:221) com.esotericsoftware.kryo.Kryo.readObjectOrNull(Kryo.java:699) com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.read(FieldSerializer.java:611) com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:221) com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:729) com.twitter.chill.Tuple2Serializer.read(TupleSerializers.scala:43) com.twitter.chill.Tuple2Serializer.read(TupleSerializers.scala:34) com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:729) org.apache.spark.serializer.KryoDeserializationStream.readObject(KryoSerializer.scala:115) org.apache.spark.serializer.DeserializationStream$$anon$1.getNext(Serializer.scala:125) org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:71) scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371) org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:30) org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39) org.apache.spark.rdd.CoGroupedRDD$$anonfun$compute$4.apply(CoGroupedRDD.scala:155) org.apache.spark.rdd.CoGroupedRDD$$anonfun$compute$4.apply(CoGroupedRDD.scala:154) scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) I'm using Spark 1.0In map I create new object each time, as I understand I can't reuse object similar to MapReduce development? I wondered, if you could point me how is it possible to avoid GC overhead...thank you in advance
Thank you, Konstantin Kudryavtsev
