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[SPARK-21782][Core] Repartition creates skews when numPartitions is a power of 2 #18990

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[SPARK-21782][Core] Repartition creates skews when numPartitions is a power of 2 #18990

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[SPARK-21782][Core] Repartition creates skews when numPartitions is a…
megaserg Aug 18, 2017
bee7fca
Scramble seed bits instead of using non-deterministic ctor
megaserg Aug 18, 2017
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2 changes: 1 addition & 1 deletion core/src/main/scala/org/apache/spark/rdd/RDD.scala
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Expand Up @@ -448,7 +448,7 @@ abstract class RDD[T: ClassTag](
if (shuffle) {
/** Distributes elements evenly across output partitions, starting from a random partition. */
val distributePartition = (index: Int, items: Iterator[T]) => {
var position = (new Random(index)).nextInt(numPartitions)
var position = (new Random()).nextInt(numPartitions)
items.map { t =>
// Note that the hash code of the key will just be the key itself. The HashPartitioner
// will mod it with the number of total partitions.
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6 changes: 4 additions & 2 deletions core/src/test/scala/org/apache/spark/rdd/RDDSuite.scala
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Expand Up @@ -347,16 +347,18 @@ class RDDSuite extends SparkFunSuite with SharedSparkContext {
val partitions = repartitioned.glom().collect()
// assert all elements are present
assert(repartitioned.collect().sortWith(_ > _).toSeq === input.toSeq.sortWith(_ > _).toSeq)
// assert no bucket is overloaded
// assert no bucket is overloaded or empty
for (partition <- partitions) {
val avg = input.size / finalPartitions
val maxPossible = avg + initialPartitions
assert(partition.length <= maxPossible)
assert(partition.length <= maxPossible)
assert(!partition.isEmpty)
}
}

testSplitPartitions(Array.fill(100)(1), 10, 20)
testSplitPartitions(Array.fill(10000)(1) ++ Array.fill(10000)(2), 20, 100)
testSplitPartitions(Array.fill(1000)(1), 250, 128)
}

test("coalesced RDDs") {
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