Please use --driver-memory 2g instead of --conf
spark.driver.memory=2g. I'm not sure whether this is a bug. -Xiangrui
On Thu, Oct 9, 2014 at 9:00 AM, Jaonary Rabarisoa <jaon...@gmail.com> wrote:
> Dear all,
>
> I have a spark job with the following configuration
>
> val conf = new SparkConf()
> .setAppName("My Job")
> .set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
> .set("spark.kryo.registrator", "value.serializer.Registrator")
> .setMaster("local[4]")
> .set("spark.executor.memory", "4g")
>
>
> that I can run manually with sbt run without any problem.
>
> But, I try to run the same job with spark-submit
>
> ./spark-1.1.0-bin-hadoop2.4/bin/spark-submit \
> --class value.jobs.MyJob \
> --master local[4] \
> --conf spark.executor.memory=4g \
> --conf spark.driver.memory=2g \
> target/scala-2.10/my-job_2.10-1.0.jar
>
>
> I get the following error :
>
> Exception in thread "stdin writer for List(patch_matching_similarity)"
> java.lang.OutOfMemoryError: Java heap space
> at java.util.Arrays.copyOf(Arrays.java:2271)
> at java.io.ByteArrayOutputStream.grow(ByteArrayOutputStream.java:113)
> at
> java.io.ByteArrayOutputStream.ensureCapacity(ByteArrayOutputStream.java:93)
> at java.io.ByteArrayOutputStream.write(ByteArrayOutputStream.java:140)
> at java.io.BufferedOutputStream.flushBuffer(BufferedOutputStream.java:82)
> at java.io.BufferedOutputStream.write(BufferedOutputStream.java:126)
> at com.esotericsoftware.kryo.io.Output.flush(Output.java:155)
> at com.esotericsoftware.krput.writeString_slow(Output.java:420)
> at com.esotericsoftware.kryo.io.Output.writeString(Output.java:326)
> at
> com.esotericsoftware.kryo.serializers.DefaultSerializers$StringSerializer.write(DefaultSerializers.java:153)
> at
> com.esotericsoftware.kryo.serializers.DefaultSerializers$StringSerializer.write(DefaultSerializers.java:146)
> at com.esotericsoftware.kryo.Kryo.writeObjectOrNull(Kryo.java:549)
> at
> com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.write(FieldSerializer.java:570)
> at
> com.esotericsoftware.kryo.serializers.FieldSerializer.write(FieldSerializer.java:213)
> at com.esotericsoftware.kryo.Kryo.writeClassAndObject(Kryo.java:568)
> at
> org.apache.spark.serializer.KryoSerializationStream.writeObject(KryoSerializer.scala:119)
> at
> org.apache.spark.serializer.SerializationStream.writeAll(Serializer.scala:110)
> at
> org.apache.spark.storage.BlockManager.dataSerializeStream(BlockManager.scala:1047)
> at
> org.apache.spark.storage.BlockManager.dataSerialize(BlockManager.scala:1056)
> at org.apache.spark.storage.MemoryStore.putArray(MemoryStore.scala:93)
> at org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:745)
> at org.apache.spark.storage.BlockManager.putArray(BlockManager.scala:625)
> at org.apache.spark.CacheManager.putInBlockManager(CacheManager.scala:167)
> at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:70)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:227)
> at org.apache.spark.rdd.FilteredRDD.compute(FilteredRDD.scala:34)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
> at
> org.apache.spark.rdd.CartesianRDD$$anonfun$compute$1.apply(CartesianRDD.scala:75)
> at
> org.apache.spark.rdd.CartesianRDD$$anonfun$compute$1.apply(CartesianRDD.scala:74)
> at
> scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)yo.io.Output.require(Output.java:135)
> at com.esotericsoftware.kryo.io.Out
>
>
> I don't understand why since I set the same amount of memory in the two
> cases.
>
> Any ideas will be helpfull. I use spark 1.1.0.
>
> Cheers,
>
> Jao
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