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  1. Spark
  2. SPARK-1391

BlockManager cannot transfer blocks larger than 2G in size

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Details

    • Improvement
    • Status: Closed
    • Major
    • Resolution: Duplicate
    • 1.0.0
    • None
    • None

    Description

      If a task tries to remotely access a cached RDD block, I get an exception when the block size is > 2G. The exception is pasted below.

      Memory capacities are huge these days (> 60G), and many workflows depend on having large blocks in memory, so it would be good to fix this bug.

      I don't know if the same thing happens on shuffles if one transfer (from mapper to reducer) is > 2G.

      14/04/02 02:33:10 ERROR storage.BlockManagerWorker: Exception handling buffer message
      java.lang.ArrayIndexOutOfBoundsException
              at it.unimi.dsi.fastutil.io.FastByteArrayOutputStream.write(FastByteArrayOutputStream.java:96)
              at it.unimi.dsi.fastutil.io.FastBufferedOutputStream.dumpBuffer(FastBufferedOutputStream.java:134)
              at it.unimi.dsi.fastutil.io.FastBufferedOutputStream.write(FastBufferedOutputStream.java:164)
              at java.io.ObjectOutputStream$BlockDataOutputStream.drain(ObjectOutputStream.java:1876)
              at java.io.ObjectOutputStream$BlockDataOutputStream.setBlockDataMode(ObjectOutputStream.java:1785)
              at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1188)
              at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:347)
              at org.apache.spark.serializer.JavaSerializationStream.writeObject(JavaSerializer.scala:38)
              at org.apache.spark.serializer.SerializationStream$class.writeAll(Serializer.scala:93)
              at org.apache.spark.serializer.JavaSerializationStream.writeAll(JavaSerializer.scala:26)
              at org.apache.spark.storage.BlockManager.dataSerializeStream(BlockManager.scala:913)
              at org.apache.spark.storage.BlockManager.dataSerialize(BlockManager.scala:922)
              at org.apache.spark.storage.MemoryStore.getBytes(MemoryStore.scala:102)
              at org.apache.spark.storage.BlockManager.doGetLocal(BlockManager.scala:348)
              at org.apache.spark.storage.BlockManager.getLocalBytes(BlockManager.scala:323)
              at org.apache.spark.storage.BlockManagerWorker.getBlock(BlockManagerWorker.scala:90)
              at org.apache.spark.storage.BlockManagerWorker.processBlockMessage(BlockManagerWorker.scala:69)
              at org.apache.spark.storage.BlockManagerWorker$$anonfun$2.apply(BlockManagerWorker.scala:44)
              at org.apache.spark.storage.BlockManagerWorker$$anonfun$2.apply(BlockManagerWorker.scala:44)
              at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
              at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
              at scala.collection.Iterator$class.foreach(Iterator.scala:727)
              at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
              at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
              at org.apache.spark.storage.BlockMessageArray.foreach(BlockMessageArray.scala:28)
              at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
              at org.apache.spark.storage.BlockMessageArray.map(BlockMessageArray.scala:28)
              at org.apache.spark.storage.BlockManagerWorker.onBlockMessageReceive(BlockManagerWorker.scala:44)
              at org.apache.spark.storage.BlockManagerWorker$$anonfun$1.apply(BlockManagerWorker.scala:34)
              at org.apache.spark.storage.BlockManagerWorker$$anonfun$1.apply(BlockManagerWorker.scala:34)
              at org.apache.spark.network.ConnectionManager.org$apache$spark$network$ConnectionManager$$handleMessage(ConnectionManager.scala:661)
              at org.apache.spark.network.ConnectionManager$$anon$9.run(ConnectionManager.scala:503)
              at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
              at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
              at java.lang.Thread.run(Thread.java:744)
      

      Attachments

        1. SPARK-1391.diff
          4 kB
          Min Zhou
        2. BlockLimitDesign.pdf
          75 kB
          Imran Rashid

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              Unassigned Unassigned
              shivaram Shivaram Venkataraman
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                Created:
                Updated:
                Resolved: