Details
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Bug
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Status: Resolved
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Major
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Resolution: Fixed
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2.4.0
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None
Description
Replicating a block > 2GB currently fails because it tries to allocate a bytebuffer that is just a bit too large, due to a bad default config. This line:
ChunkedByteBuffer.fromFile(tmpFile, conf.get(config.MEMORY_MAP_LIMIT_FOR_TESTS).toInt)
MEMORY_MAP_LIMIT_FOR_TESTS defaults to Integer.MAX_VALUE, but unfortunately that is just a tiny bit too big. You'll see an exception like:
18/10/09 21:21:54 WARN server.TransportChannelHandler: Exception in connection from /172.31.118.153:53534
java.lang.OutOfMemoryError: Requested array size exceeds VM limit
at java.nio.HeapByteBuffer.<init>(HeapByteBuffer.java:57)
at java.nio.ByteBuffer.allocate(ByteBuffer.java:335)
at org.apache.spark.util.io.ChunkedByteBuffer$$anonfun$8.apply(ChunkedByteBuffer.scala:199)
at org.apache.spark.util.io.ChunkedByteBuffer$$anonfun$8.apply(ChunkedByteBuffer.scala:199)
at org.apache.spark.util.io.ChunkedByteBufferOutputStream.allocateNewChunkIfNeeded(ChunkedByteBufferOutputStream.scala:87)
at org.apache.spark.util.io.ChunkedByteBufferOutputStream.write(ChunkedByteBufferOutputStream.scala:75)
at org.apache.commons.io.IOUtils.copyLarge(IOUtils.java:2315)
at org.apache.commons.io.IOUtils.copy(IOUtils.java:2270)
at org.apache.commons.io.IOUtils.copyLarge(IOUtils.java:2291)
at org.apache.commons.io.IOUtils.copy(IOUtils.java:2246)
at org.apache.spark.util.io.ChunkedByteBuffer$$anonfun$fromFile$1.apply$mcI$sp(ChunkedByteBuffer.scala:201)
at org.apache.spark.util.io.ChunkedByteBuffer$$anonfun$fromFile$1.apply(ChunkedByteBuffer.scala:201)
at org.apache.spark.util.io.ChunkedByteBuffer$$anonfun$fromFile$1.apply(ChunkedByteBuffer.scala:201)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
at org.apache.spark.util.io.ChunkedByteBuffer$.fromFile(ChunkedByteBuffer.scala:202)
at org.apache.spark.util.io.ChunkedByteBuffer$.fromFile(ChunkedByteBuffer.scala:184)
at org.apache.spark.storage.BlockManager$$anon$1.onComplete(BlockManager.scala:454)
at least on my system, its just 2 bytes too big 
> scala -J-Xmx4G import java.nio.ByteBuffer scala> ByteBuffer.allocate(Integer.MAX_VALUE) java.lang.OutOfMemoryError: Requested array size exceeds VM limit at java.nio.HeapByteBuffer.<init>(HeapByteBuffer.java:57) at java.nio.ByteBuffer.allocate(ByteBuffer.java:335) ... 30 elided scala> ByteBuffer.allocate(Integer.MAX_VALUE - 1) java.lang.OutOfMemoryError: Requested array size exceeds VM limit at java.nio.HeapByteBuffer.<init>(HeapByteBuffer.java:57) at java.nio.ByteBuffer.allocate(ByteBuffer.java:335) ... 30 elided scala> ByteBuffer.allocate(Integer.MAX_VALUE - 2) res3: java.nio.ByteBuffer = java.nio.HeapByteBuffer[pos=0 lim=2147483645 cap=2147483645]
Workaround: Set to "spark.storage.memoryMapLimitForTests" something a bit smaller, eg. 2147483135 (that's Integer.MAX_VALUE - 512, just in case its a bit different on other systems).
This was introduced by SPARK-25422. I'll file a PR shortly.
Attachments
Issue Links
- is caused by
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SPARK-25422
flaky test: org.apache.spark.DistributedSuite.caching on disk, replicated (encryption = on) (with replication as stream)
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- Resolved
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- is related to
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- Resolved
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- relates to
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SPARK-25904 Avoid allocating arrays too large for JVMs
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- Resolved
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- links to
