Github user mateiz commented on a diff in the pull request:
https://github.com/apache/spark/pull/2514#discussion_r18012545
--- Diff:
core/src/test/scala/org/apache/spark/util/collection/ExternalSorterSuite.scala
---
@@ -707,4 +707,53 @@ class ExternalSorterSuite extends FunSuite with
LocalSparkContext with PrivateMe
Some(agg), Some(new HashPartitioner(FEW_PARTITIONS)), None, None)
assertDidNotBypassMergeSort(sorter4)
}
+
+ test("sort without breaking sorting contracts") {
+ val conf = createSparkConf(true)
+ conf.set("spark.shuffle.memoryFraction", "0.001")
+ conf.set("spark.shuffle.manager", "sort")
+ sc = new SparkContext("local-cluster[1,1,512]", "test", conf)
+
+ val testData = Array[String](
+ "hierarch", // -1732884796
+ "variants", // -1249574770
+ "inwork", // -1183663690
+ "isohel", // -1179291542
+ "misused" // 1069518484
+ )
+ val expected = testData.map(s => (s, 200000))
+
+ def createCombiner(i: Int) = ArrayBuffer(i)
+ def mergeValue(c: ArrayBuffer[Int], i: Int) = c += i
+ def mergeCombiners(c1: ArrayBuffer[Int], c2: ArrayBuffer[Int]) = c1
++= c2
+
+ val agg = new Aggregator[String, Int, ArrayBuffer[Int]](
+ createCombiner, mergeValue, mergeCombiners)
+
+ // Using wrongHashOrdering to show that integer overflow will lead to
wrong sort result.
+ val wrongHashOrdering = new Ordering[String] {
+ override def compare(a: String, b: String) = {
+ val h1 = a.hashCode()
+ val h2 = b.hashCode()
+ h1 - h2
+ }
+ }
+ val sorter1 = new ExternalSorter[String, Int, ArrayBuffer[Int]](
+ None, None, Some(wrongHashOrdering), None)
+ sorter1.insertAll(expected.iterator)
--- End diff --
Well, if the test data is not enough, please add suitable test data! You
got an exception in your reported version of this error, right? I think it's
fairly easy to add suitable data, just put integers that include Int.MaxValue
and MinValue and such (or other extreme integers). You can use a custom class
with a configurable hash code (we have one in our test suites). Otherwise this
is just testing that the Ordering is different.
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