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--- Diff: core/src/main/scala/org/apache/spark/ui/jobs/StagePage.scala ---
@@ -349,6 +365,23 @@ private[ui] class StagePage(parent: StagesTab) extends
WebUIP
Github user squito commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
---
@@ -773,16 +773,26 @@ class DAGScheduler(
stage.pendingTasks.clear()
Github user squito commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
---
@@ -773,16 +773,26 @@ class DAGScheduler(
stage.pendingTasks.clear()
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--- Diff: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
---
@@ -773,16 +773,26 @@ class DAGScheduler(
stage.pendingTasks.clear
Github user squito commented on the pull request:
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Other concerns aside ... can somebody explain the logic for resetting the
accumulator values to me?
IIUC you reset the values:
a) on the initial instance
Github user squito commented on the pull request:
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Hey Patrick,
that sounds good. I agree that there are probably a couple different
concerns here. My biggest concern was some overall direction we head on
metri
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Now that this has passed tests as of the latest commit, I'm going to merge
it to master and branch-1.5. Thanks!
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Hey Imran,
So I think there is a larger design discussion at hand that we can probably
break out into a mailing list thread or maybe discuss offline - about as
Github user squito commented on the pull request:
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Accumulators handle task failures, but have super confusing semantics
around recomputation from shared lineage, speculative execution, and stage
retries. (eg., I don't u
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LGTM pending Jenkins.
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Reviewed 2 of 2 files at r17, 3 of 5 files at r18, 1 of 1 files at r20, 4
of 4 files at r21.
Review status: all files reviewed at latest revisio
Github user JoshRosen commented on a diff in the pull request:
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
---
@@ -258,6 +259,24 @@ class SQLQuerySuite extends QueryTest with
BeforeAndAft
Github user andrewor14 commented on a diff in the pull request:
https://github.com/apache/spark/pull/7770#discussion_r36104996
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/joins/BroadcastJoinSuite.scala
---
@@ -0,0 +1,94 @@
+/*
+* Licensed to the Apache
Github user JoshRosen commented on the pull request:
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To clarify slightly, (@andrewor14, correct me if I'm wrong), these new
internal metrics are considered to be completely `private[spark]` right now, so
there's no `@Dev
Github user JoshRosen commented on a diff in the pull request:
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--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/joins/BroadcastJoinSuite.scala
---
@@ -0,0 +1,94 @@
+/*
+* Licensed to the Apache
Github user andrewor14 commented on the pull request:
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@squito we won't remove `TaskMetrics` before 2.0 because it breaks
compatibility, as you mentioned. Also, in my mind the semantics of accumulators
during retries are
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--- Diff: core/src/main/scala/org/apache/spark/ui/ToolTips.scala ---
@@ -62,6 +62,13 @@ private[spark] object ToolTips {
"""Time that the executor spen
Github user squito commented on the pull request:
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I didn't realize the point of that other PR was so we could start switching
all task metrics over ... accumulators have their own set of confusing
semantics around retrie
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Github user andrewor14 commented on the pull request:
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To add to @pwendell's comment, the biggest advantage of accumulators is the
ability to deal with failed and resubmitted tasks. Double counting has been a
perennial is
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--- Diff:
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---
@@ -0,0 +1,94 @@
+/*
+* Licensed to the Apache
Github user andrewor14 commented on the pull request:
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I was able to reproduce the test failure locally and fixed it. There were
many logical merge conflicts that changed the underlying assumptions of a few
of my tests. T
Github user JoshRosen commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/ui/ToolTips.scala ---
@@ -62,6 +62,13 @@ private[spark] object ToolTips {
"""Time that the executor s
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--- Diff: core/src/main/scala/org/apache/spark/ui/ToolTips.scala ---
@@ -62,6 +62,13 @@ private[spark] object ToolTips {
"""Time that the executor sp
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--- Diff: core/src/main/scala/org/apache/spark/ui/ToolTips.scala ---
@@ -62,6 +62,13 @@ private[spark] object ToolTips {
"""Time that the executor s
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--- Diff: core/src/main/scala/org/apache/spark/ui/ToolTips.scala ---
@@ -62,6 +62,13 @@ private[spark] object ToolTips {
"""Time that the executor spent
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--- Diff: core/src/main/scala/org/apache/spark/ui/ToolTips.scala ---
@@ -62,6 +62,13 @@ private[spark] object ToolTips {
"""Time that the executor spent
Github user pwendell commented on the pull request:
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@squito regarding accumulators, there was an earlier patch that supports
incremental updates of accumulators, so we can use them for this type of
measurement now. Over
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--- Diff: core/src/main/scala/org/apache/spark/ui/ToolTips.scala ---
@@ -62,6 +62,13 @@ private[spark] object ToolTips {
"""Time that the executor s
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--- Diff: core/src/main/scala/org/apache/spark/ui/ToolTips.scala ---
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"""Time that the executor sp
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+/*
+* Licensed to the Apache
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--- Diff: core/src/main/scala/org/apache/spark/ui/ToolTips.scala ---
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"""Time that the executor sp
Github user JoshRosen commented on the pull request:
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It looks like this is now passing all tests except for one of its own,
`BytesToBytesMapSuite.testTotalMemoryConsumption`.
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Whats the reason for using accumulators instead of TaskMetrics?
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--- Diff: core/src/main/scala/org/apache/spark/Aggregator.scala ---
@@ -89,13 +84,18 @@ case class Aggregator[K, V, C] (
} else {
val combin
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Haha, looks like I was wrong about commenting code out like that :(
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