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Posted to issues@spark.apache.org by "Aaron Davidson (JIRA)" <ji...@apache.org> on 2014/08/28 00:38:57 UTC
[jira] [Created] (SPARK-3267) Deadlock between ScalaReflectionLock
and Data type initialization
Aaron Davidson created SPARK-3267:
-------------------------------------
Summary: Deadlock between ScalaReflectionLock and Data type initialization
Key: SPARK-3267
URL: https://issues.apache.org/jira/browse/SPARK-3267
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.1.0
Reporter: Aaron Davidson
Deadlock here:
{code}
"Executor task launch worker-0" daemon prio=10 tid=0x00007fab50036000 nid=0x27a in Object.wait() [0x00007fab60c2e000
]
java.lang.Thread.State: RUNNABLE
at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator.defaultPrimitive(CodeGenerator.scala:565)
at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$$anonfun$1.applyOrElse(CodeGenerator.scal
a:202)
at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$$anonfun$1.applyOrElse(CodeGenerator.scal
a:195)
at scala.PartialFunction$Lifted.apply(PartialFunction.scala:218)
at scala.PartialFunction$Lifted.apply(PartialFunction.scala:214)
at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator.expressionEvaluator(CodeGenerator.scala:4
93)
at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$Evaluate2$2.evaluateAs(CodeGenerator.scal
a:175)
at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$$anonfun$1.applyOrElse(CodeGenerator.scal
a:304)
at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$$anonfun$1.applyOrElse(CodeGenerator.scal
a:195)
at scala.PartialFunction$Lifted.apply(PartialFunction.scala:218)
at scala.PartialFunction$Lifted.apply(PartialFunction.scala:214)
at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator.expressionEvaluator(CodeGenerator.scala:4
93)
at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$$anonfun$1.applyOrElse(CodeGenerator.scal
a:314)
at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$$anonfun$1.applyOrElse(CodeGenerator.scal
a:195)
at scala.PartialFunction$Lifted.apply(PartialFunction.scala:218)
at scala.PartialFunction$Lifted.apply(PartialFunction.scala:214)
at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator.expressionEvaluator(CodeGenerator.scala:4
93)
at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$$anonfun$1.applyOrElse(CodeGenerator.scal
a:313)
at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$$anonfun$1.applyOrElse(CodeGenerator.scal
a:195)
at scala.PartialFunction$Lifted.apply(PartialFunction.scala:218)
at scala.PartialFunction$Lifted.apply(PartialFunction.scala:214)
...
{code}
and
{code}
"Executor task launch worker-2" daemon prio=10 tid=0x00007fab100f0800 nid=0x27e in Object.wait() [0x00007fab0eeec000
]
java.lang.Thread.State: RUNNABLE
at org.apache.spark.sql.catalyst.expressions.Cast.cast$lzycompute(Cast.scala:250)
- locked <0x000000064e5d9a48> (a org.apache.spark.sql.catalyst.expressions.Cast)
at org.apache.spark.sql.catalyst.expressions.Cast.cast(Cast.scala:247)
at org.apache.spark.sql.catalyst.expressions.Cast.eval(Cast.scala:263)
at org.apache.spark.sql.parquet.ParquetTableScan$$anonfun$execute$2$$anonfun$6.apply(ParquetTableOperations.
scala:139)
at org.apache.spark.sql.parquet.ParquetTableScan$$anonfun$execute$2$$anonfun$6.apply(ParquetTableOperations.
scala:139)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
at scala.collection.AbstractTraversable.map(Traversable.scala:105)
at org.apache.spark.sql.parquet.ParquetTableScan$$anonfun$execute$2.apply(ParquetTableOperations.scala:139)
at org.apache.spark.sql.parquet.ParquetTableScan$$anonfun$execute$2.apply(ParquetTableOperations.scala:126)
at org.apache.spark.rdd.NewHadoopRDD$NewHadoopMapPartitionsWithSplitRDD.compute(NewHadoopRDD.scala:197)
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.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
at org.apache.spark.scheduler.Task.run(Task.scala:54)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:199)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:724)
{code}
Only happens with code gen on.
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