squito commented on a change in pull request #23767: [SPARK-26329][CORE] Faster
polling of executor memory metrics.
URL: https://github.com/apache/spark/pull/23767#discussion_r304122257
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File path: core/src/test/scala/org/apache/spark/executor/ExecutorSuite.scala
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@@ -342,6 +320,87 @@ class ExecutorSuite extends SparkFunSuite
}
}
+ test("Send task executor metrics in DirectTaskResult") {
+ // Run a successful, trivial result task
+ // We need to ensure, however, that executor metrics are polled after the
task is started
+ // so this requires some coordination using ExecutorSuiteHelper.
+ val conf = new SparkConf().setMaster("local").setAppName("executor suite
test")
+ sc = new SparkContext(conf)
+ val serializer = SparkEnv.get.closureSerializer.newInstance()
+ ExecutorSuiteHelper.latches = new ExecutorSuiteHelper
+ val resultFunc =
+ (context: TaskContext, itr: Iterator[Int]) => {
+ ExecutorSuiteHelper.latches.latch1.await(300, TimeUnit.MILLISECONDS)
+ ExecutorSuiteHelper.latches.latch2.countDown()
+ ExecutorSuiteHelper.latches.latch3.await(500, TimeUnit.MILLISECONDS)
+ itr.size
+ }
+ val rdd = new RDD[Int](sc, Nil) {
+ override def compute(split: Partition, context: TaskContext):
Iterator[Int] = {
+ val l = List(1)
+ l.iterator
Review comment:
can just be `Iterator(1)`
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