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https://issues.apache.org/jira/browse/SPARK-8503?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14595501#comment-14595501
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Sean Owen commented on SPARK-8503:
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Yes, you are probably on the right track. Can you debug locally, perhaps by
writing a simple test along these lines, to see where it looks like it might go
wrong? circular structures should be handled but maybe there's a problem in a
corner case. it would be great if you can track it down and submit a PR.
> SizeEstimator returns negative value for recursive data structures
> ------------------------------------------------------------------
>
> Key: SPARK-8503
> URL: https://issues.apache.org/jira/browse/SPARK-8503
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.3.1
> Reporter: Ilya Rakitsin
>
> When estimating size of recursive data structures like graphs, with transient
> fields referencing one another, SizeEstimator may return negative value if
> the structure if big enough.
> This then affects the logic of other components, e.g.
> SizeTracker#takeSample() and may lead to incorrect behavior and exceptions
> like:
> java.lang.IllegalArgumentException: requirement failed: sizeInBytes was
> negative: -9223372036854691384
> at scala.Predef$.require(Predef.scala:233)
> at org.apache.spark.storage.BlockInfo.markReady(BlockInfo.scala:55)
> at org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:810)
> at
> org.apache.spark.storage.BlockManager.putIterator(BlockManager.scala:637)
> at
> org.apache.spark.storage.BlockManager.putSingle(BlockManager.scala:991)
> at
> org.apache.spark.broadcast.TorrentBroadcast.writeBlocks(TorrentBroadcast.scala:98)
> at
> org.apache.spark.broadcast.TorrentBroadcast.<init>(TorrentBroadcast.scala:84)
> at
> org.apache.spark.broadcast.TorrentBroadcastFactory.newBroadcast(TorrentBroadcastFactory.scala:34)
> at
> org.apache.spark.broadcast.TorrentBroadcastFactory.newBroadcast(TorrentBroadcastFactory.scala:29)
> at
> org.apache.spark.broadcast.BroadcastManager.newBroadcast(BroadcastManager.scala:62)
> at org.apache.spark.SparkContext.broadcast(SparkContext.scala:1051)
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