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authorWenchen Fan <wenchen@databricks.com>2016-05-10 11:16:31 -0700
committerAndrew Or <andrew@databricks.com>2016-05-10 11:16:56 -0700
commitbcfee153b1cacfe617e602f3b72c0877e0bdf1f7 (patch)
tree7d8aa24d2213d098901547d3b81390fb67bef2be /core
parent0b9cae42426e14060bc6182c037fd715f35a2d23 (diff)
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[SPARK-12837][CORE] reduce network IO for accumulators
Sending un-updated accumulators back to driver makes no sense, as merging a zero value accumulator is a no-op. We should only send back updated accumulators, to save network IO. new test in `TaskContextSuite` Author: Wenchen Fan <wenchen@databricks.com> Closes #12899 from cloud-fan/acc.
Diffstat (limited to 'core')
-rw-r--r--core/src/main/scala/org/apache/spark/executor/TaskMetrics.scala2
-rw-r--r--core/src/main/scala/org/apache/spark/scheduler/Task.scala9
-rw-r--r--core/src/main/scala/org/apache/spark/util/AccumulatorV2.scala4
-rw-r--r--core/src/test/scala/org/apache/spark/scheduler/TaskContextSuite.scala37
4 files changed, 41 insertions, 11 deletions
diff --git a/core/src/main/scala/org/apache/spark/executor/TaskMetrics.scala b/core/src/main/scala/org/apache/spark/executor/TaskMetrics.scala
index 7f4652c2dd..1893167cf7 100644
--- a/core/src/main/scala/org/apache/spark/executor/TaskMetrics.scala
+++ b/core/src/main/scala/org/apache/spark/executor/TaskMetrics.scala
@@ -218,7 +218,7 @@ class TaskMetrics private[spark] () extends Serializable {
/**
* External accumulators registered with this task.
*/
- @transient private lazy val externalAccums = new ArrayBuffer[AccumulatorV2[_, _]]
+ @transient private[spark] lazy val externalAccums = new ArrayBuffer[AccumulatorV2[_, _]]
private[spark] def registerAccumulator(a: AccumulatorV2[_, _]): Unit = {
externalAccums += a
diff --git a/core/src/main/scala/org/apache/spark/scheduler/Task.scala b/core/src/main/scala/org/apache/spark/scheduler/Task.scala
index 95bcc7bc96..15f863b66c 100644
--- a/core/src/main/scala/org/apache/spark/scheduler/Task.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/Task.scala
@@ -155,7 +155,14 @@ private[spark] abstract class Task[T](
*/
def collectAccumulatorUpdates(taskFailed: Boolean = false): Seq[AccumulatorV2[_, _]] = {
if (context != null) {
- context.taskMetrics.accumulators().filter { a => !taskFailed || a.countFailedValues }
+ context.taskMetrics.internalAccums.filter { a =>
+ // RESULT_SIZE accumulator is always zero at executor, we need to send it back as its
+ // value will be updated at driver side.
+ // Note: internal accumulators representing task metrics always count failed values
+ !a.isZero || a.name == Some(InternalAccumulator.RESULT_SIZE)
+ // zero value external accumulators may still be useful, e.g. SQLMetrics, we should not filter
+ // them out.
+ } ++ context.taskMetrics.externalAccums.filter(a => !taskFailed || a.countFailedValues)
} else {
Seq.empty
}
diff --git a/core/src/main/scala/org/apache/spark/util/AccumulatorV2.scala b/core/src/main/scala/org/apache/spark/util/AccumulatorV2.scala
index d8f380e123..c4879036f6 100644
--- a/core/src/main/scala/org/apache/spark/util/AccumulatorV2.scala
+++ b/core/src/main/scala/org/apache/spark/util/AccumulatorV2.scala
@@ -256,7 +256,7 @@ class LongAccumulator extends AccumulatorV2[jl.Long, jl.Long] {
* Adds v to the accumulator, i.e. increment sum by v and count by 1.
* @since 2.0.0
*/
- override def isZero: Boolean = _count == 0L
+ override def isZero: Boolean = _sum == 0L && _count == 0
override def copyAndReset(): LongAccumulator = new LongAccumulator
@@ -321,7 +321,7 @@ class DoubleAccumulator extends AccumulatorV2[jl.Double, jl.Double] {
private[this] var _sum = 0.0
private[this] var _count = 0L
- override def isZero: Boolean = _count == 0L
+ override def isZero: Boolean = _sum == 0.0 && _count == 0
override def copyAndReset(): DoubleAccumulator = new DoubleAccumulator
diff --git a/core/src/test/scala/org/apache/spark/scheduler/TaskContextSuite.scala b/core/src/test/scala/org/apache/spark/scheduler/TaskContextSuite.scala
index 9aca4dbc23..368668bc7e 100644
--- a/core/src/test/scala/org/apache/spark/scheduler/TaskContextSuite.scala
+++ b/core/src/test/scala/org/apache/spark/scheduler/TaskContextSuite.scala
@@ -168,8 +168,10 @@ class TaskContextSuite extends SparkFunSuite with BeforeAndAfter with LocalSpark
test("failed tasks collect only accumulators whose values count during failures") {
sc = new SparkContext("local", "test")
- val acc1 = AccumulatorSuite.createLongAccum("x", true)
- val acc2 = AccumulatorSuite.createLongAccum("y", false)
+ val acc1 = AccumulatorSuite.createLongAccum("x", false)
+ val acc2 = AccumulatorSuite.createLongAccum("y", true)
+ acc1.add(1)
+ acc2.add(1)
// Create a dummy task. We won't end up running this; we just want to collect
// accumulator updates from it.
val taskMetrics = TaskMetrics.empty
@@ -185,12 +187,33 @@ class TaskContextSuite extends SparkFunSuite with BeforeAndAfter with LocalSpark
}
// First, simulate task success. This should give us all the accumulators.
val accumUpdates1 = task.collectAccumulatorUpdates(taskFailed = false)
- val accumUpdates2 = taskMetrics.internalAccums ++ Seq(acc1, acc2)
- TaskMetricsSuite.assertUpdatesEquals(accumUpdates1, accumUpdates2)
+ TaskMetricsSuite.assertUpdatesEquals(accumUpdates1.takeRight(2), Seq(acc1, acc2))
// Now, simulate task failures. This should give us only the accums that count failed values.
- val accumUpdates3 = task.collectAccumulatorUpdates(taskFailed = true)
- val accumUpdates4 = taskMetrics.internalAccums ++ Seq(acc1)
- TaskMetricsSuite.assertUpdatesEquals(accumUpdates3, accumUpdates4)
+ val accumUpdates2 = task.collectAccumulatorUpdates(taskFailed = true)
+ TaskMetricsSuite.assertUpdatesEquals(accumUpdates2.takeRight(1), Seq(acc2))
+ }
+
+ test("only updated internal accumulators will be sent back to driver") {
+ sc = new SparkContext("local", "test")
+ // Create a dummy task. We won't end up running this; we just want to collect
+ // accumulator updates from it.
+ val taskMetrics = TaskMetrics.empty
+ val task = new Task[Int](0, 0, 0) {
+ context = new TaskContextImpl(0, 0, 0L, 0,
+ new TaskMemoryManager(SparkEnv.get.memoryManager, 0L),
+ new Properties,
+ SparkEnv.get.metricsSystem,
+ taskMetrics)
+ taskMetrics.incMemoryBytesSpilled(10)
+ override def runTask(tc: TaskContext): Int = 0
+ }
+ val updatedAccums = task.collectAccumulatorUpdates()
+ assert(updatedAccums.length == 2)
+ // the RESULT_SIZE accumulator will be sent back anyway.
+ assert(updatedAccums(0).name == Some(InternalAccumulator.RESULT_SIZE))
+ assert(updatedAccums(0).value == 0)
+ assert(updatedAccums(1).name == Some(InternalAccumulator.MEMORY_BYTES_SPILLED))
+ assert(updatedAccums(1).value == 10)
}
test("localProperties are propagated to executors correctly") {