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| author | Aaron Davidson <aaron@databricks.com> | 2014-07-17 01:01:14 -0700 |
|---|---|---|
| committer | Patrick Wendell <pwendell@gmail.com> | 2014-07-17 01:01:14 -0700 |
| commit | 7c23c0dc3ed721c95690fc49f435d9de6952523c (patch) | |
| tree | 24916b22933995a60f0f14b4ebf58ca28fa0ad2f /core | |
| parent | 9c249743eaabe5fc8d961c7aa581cc0197f6e950 (diff) | |
| download | spark-7c23c0dc3ed721c95690fc49f435d9de6952523c.tar.gz spark-7c23c0dc3ed721c95690fc49f435d9de6952523c.tar.bz2 spark-7c23c0dc3ed721c95690fc49f435d9de6952523c.zip | |
[SPARK-2412] CoalescedRDD throws exception with certain pref locs
If the first pass of CoalescedRDD does not find the target number of locations AND the second pass finds new locations, an exception is thrown, as "groupHash.get(nxt_replica).get" is not valid.
The fix is just to add an ArrayBuffer to groupHash for that replica if it didn't already exist.
Author: Aaron Davidson <aaron@databricks.com>
Closes #1337 from aarondav/2412 and squashes the following commits:
f587b5d [Aaron Davidson] getOrElseUpdate
3ad8a3c [Aaron Davidson] [SPARK-2412] CoalescedRDD throws exception with certain pref locs
Diffstat (limited to 'core')
| -rw-r--r-- | core/src/main/scala/org/apache/spark/rdd/CoalescedRDD.scala | 4 | ||||
| -rw-r--r-- | core/src/test/scala/org/apache/spark/rdd/RDDSuite.scala | 14 |
2 files changed, 16 insertions, 2 deletions
diff --git a/core/src/main/scala/org/apache/spark/rdd/CoalescedRDD.scala b/core/src/main/scala/org/apache/spark/rdd/CoalescedRDD.scala index c45b759f00..e7221e3032 100644 --- a/core/src/main/scala/org/apache/spark/rdd/CoalescedRDD.scala +++ b/core/src/main/scala/org/apache/spark/rdd/CoalescedRDD.scala @@ -258,7 +258,7 @@ private[spark] class PartitionCoalescer(maxPartitions: Int, prev: RDD[_], balanc val pgroup = PartitionGroup(nxt_replica) groupArr += pgroup addPartToPGroup(nxt_part, pgroup) - groupHash += (nxt_replica -> (ArrayBuffer(pgroup))) // list in case we have multiple + groupHash.put(nxt_replica, ArrayBuffer(pgroup)) // list in case we have multiple numCreated += 1 } } @@ -267,7 +267,7 @@ private[spark] class PartitionCoalescer(maxPartitions: Int, prev: RDD[_], balanc var (nxt_replica, nxt_part) = rotIt.next() val pgroup = PartitionGroup(nxt_replica) groupArr += pgroup - groupHash.get(nxt_replica).get += pgroup + groupHash.getOrElseUpdate(nxt_replica, ArrayBuffer()) += pgroup var tries = 0 while (!addPartToPGroup(nxt_part, pgroup) && tries < targetLen) { // ensure at least one part nxt_part = rotIt.next()._2 diff --git a/core/src/test/scala/org/apache/spark/rdd/RDDSuite.scala b/core/src/test/scala/org/apache/spark/rdd/RDDSuite.scala index 6ea045198e..2924de1129 100644 --- a/core/src/test/scala/org/apache/spark/rdd/RDDSuite.scala +++ b/core/src/test/scala/org/apache/spark/rdd/RDDSuite.scala @@ -351,6 +351,20 @@ class RDDSuite extends FunSuite with SharedSparkContext { } } + // Test for SPARK-2412 -- ensure that the second pass of the algorithm does not throw an exception + test("coalesced RDDs with locality, fail first pass") { + val initialPartitions = 1000 + val targetLen = 50 + val couponCount = 2 * (math.log(targetLen)*targetLen + targetLen + 0.5).toInt // = 492 + + val blocks = (1 to initialPartitions).map { i => + (i, List(if (i > couponCount) "m2" else "m1")) + } + val data = sc.makeRDD(blocks) + val coalesced = data.coalesce(targetLen) + assert(coalesced.partitions.length == targetLen) + } + test("zipped RDDs") { val nums = sc.makeRDD(Array(1, 2, 3, 4), 2) val zipped = nums.zip(nums.map(_ + 1.0)) |