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https://issues.apache.org/jira/browse/SPARK-3604?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Patrick Wendell resolved SPARK-3604.
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Resolution: Not a Problem
> unbounded recursion in getNumPartitions triggers stack overflow for large
> UnionRDD
> ----------------------------------------------------------------------------------
>
> Key: SPARK-3604
> URL: https://issues.apache.org/jira/browse/SPARK-3604
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.1.0
> Environment: linux. Used python, but error is in Scala land.
> Reporter: Eric Friedman
> Priority: Critical
>
> I have a large number of parquet files all with the same schema and attempted
> to make a UnionRDD out of them.
> When I call getNumPartitions(), I get a stack overflow error
> that looks like this:
> Py4JJavaError: An error occurred while calling o3275.partitions.
> : java.lang.StackOverflowError
> at
> scala.collection.TraversableLike$class.builder$1(TraversableLike.scala:239)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:243)
> at scala.collection.AbstractTraversable.map(Traversable.scala:105)
> at org.apache.spark.rdd.UnionRDD.getPartitions(UnionRDD.scala:65)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:204)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:202)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:202)
> at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:65)
> at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:65)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at
> scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:34)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
> at scala.collection.AbstractTraversable.map(Traversable.scala:105)
> at org.apache.spark.rdd.UnionRDD.getPartitions(UnionRDD.scala:65)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:204)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:202)
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