Github user viirya commented on the issue:
https://github.com/apache/spark/pull/16865
My colleagues recently have a case that their codes throw an exception like
this:
12:45:10 at
org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator.generate(CodeGenerator.scala:874)
12:45:10 java.lang.RuntimeException: org.apache.spark.SparkException: Job
aborted due to stage failure: Task 7 in stage 0.0 failed 1 times, most recent
failure: Lost task 7.0 in stage 0.0 (TID 7, localhost, executor driver):
org.spark_project.guava.util.concurrent.ExecutionError:
java.lang.OutOfMemoryError: Java heap space
12:45:10 at
org.spark_project.guava.cache.LocalCache$Segment.get(LocalCache.java:2261)
12:45:10 at
org.spark_project.guava.cache.LocalCache.get(LocalCache.java:4000)
12:45:10 at
org.spark_project.guava.cache.LocalCache.getOrLoad(LocalCache.java:4004)
12:45:10 at
org.spark_project.guava.cache.LocalCache$LocalLoadingCache.get(LocalCache.java:4874)
12:45:10 at
org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$.compile(CodeGenerator.scala:890)
12:45:10 at
org.apache.spark.sql.catalyst.expressions.codegen.GenerateUnsafeProjection$.create(GenerateUnsafeProjection.scala:405)
12:45:10 at
org.apache.spark.sql.catalyst.expressions.codegen.GenerateUnsafeProjection$.create(GenerateUnsafeProjection.scala:359)
12:45:10 at
org.apache.spark.sql.catalyst.expressions.codegen.GenerateUnsafeProjection$.create(GenerateUnsafeProjection.scala:32)
12:45:10 at
org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator.generate(CodeGenerator.scala:874)
12:45:10 at
org.apache.spark.sql.catalyst.encoders.ExpressionEncoder.extractProjection$lzycompute(ExpressionEncoder.scala:266)
12:45:10 at
org.apache.spark.sql.catalyst.encoders.ExpressionEncoder.extractProjection(ExpressionEncoder.scala:266)
12:45:10 at
org.apache.spark.sql.catalyst.encoders.ExpressionEncoder.toRow(ExpressionEncoder.scala:290)
12:45:10 at
org.apache.spark.sql.SparkSession$$anonfun$3.apply(SparkSession.scala:547)
12:45:10 at
org.apache.spark.sql.SparkSession$$anonfun$3.apply(SparkSession.scala:547)
12:45:10 at
scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
12:45:10 at
scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
12:45:10 at
scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
12:45:10 at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithoutKey$(Unknown
Source)
12:45:10 at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown
Source)
12:45:10 at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
12:45:10 at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:377)
12:45:10 at
scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
12:45:10 at
org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:126)
12:45:10 at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
12:45:10 at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
12:45:10 at org.apache.spark.scheduler.Task.run(Task.scala:99)
12:45:10 at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
12:45:10 at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
12:45:10 at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
12:45:10 at java.lang.Thread.run(Thread.java:745)
Looks like the cache tries to load a new generated class but fails to
allocate enough memory.
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