Eric Friedman created SPARK-3604:
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             Summary: 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: Blocker


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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