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Github user vanzin commented on the issue:
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I went through the code again, and the main thing for me is that following
this whole "steps" thing in the k8s backend still seems really hard to me. It
feels like related code gets scattered around
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retest this please
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Github user gatorsmile commented on the issue:
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Sorry for the late reply. Could we hold this PR since we are actively
working on the data source API V2? Will revisit it after that. Also cc
@gengliangwang @cloud-fan
FYI, I just marke
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//
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FROM openjdk:8-alpine
ARG spark_jar
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[SPARK-25674][FOLLOW-UP] Update the stats for each ColumnarBatch
## What changes were proposed in this pull request?
This PR is a follow-up of https://github.com/apache/spark/pull/22594 . Thi
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Github user liyinan926 commented on the issue:
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@huafengw we are working on a new shuffle service + dynamic resource
allocation design for k8s, and decided to not adopt the approach we used in the
fork. @mccheah.
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So far looking good to those who have looked, and it passed Maven and SBT
tests. I think this will help reduce complexity a bit (and test time in some
cases), so will go for it tomorrow.
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[SPARK-16775][CORE] Remove deprecated accumulator v1 APIs
## What changes were proposed in this pull request?
Remove deprecated accumulator v1
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[SPARK-25737][CORE] Remove JavaSparkContextVarargsWorkaround
## What changes were proposed in this pull request?
Remove JavaSparkContextVarargsWorkaround
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Github user viirya commented on the issue:
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Yea, it is definitely good to add document and test for current behavior.
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BTW MySQL doesn't support `count(a, b)` but supports `count(distinct a,
b)`, the result is same as Spark.
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this is indeed the behavior I'd expect. Good to add tests to enforce the
behavior. Did you check other RDBMs apart from Postgres?
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[SPARK-25736][SQL][TEST] add tests to verify the behavior of multi-column
count
## What changes were proposed in this pull request?
AFAIK multi-column count is not widely supported by th
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--- Diff:
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val is = new File
Github user maryannxue commented on the issue:
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@srowen I don't think this would make a big difference performance-wise,
but if it's the right change, it just looks cleaner now. Anyone have any idea
why it wasn't like this before?
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Github user tgravescs commented on a diff in the pull request:
https://github.com/apache/spark/pull/22288#discussion_r225198423
--- Diff:
core/src/test/scala/org/apache/spark/scheduler/TaskSchedulerImplSuite.scala ---
@@ -503,6 +505,89 @@ class TaskSchedulerImplSuite extends SparkF
Github user maryannxue commented on the issue:
https://github.com/apache/spark/pull/22713
We do need a test case here anyway. Ideally it would be just as simple as
#22701 but the difficulty is in declaring a view.
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Github user tgravescs commented on a diff in the pull request:
https://github.com/apache/spark/pull/22288#discussion_r225193634
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala ---
@@ -415,9 +419,61 @@ private[spark] class TaskSchedulerImpl(
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Github user tgravescs commented on a diff in the pull request:
https://github.com/apache/spark/pull/22288#discussion_r225185389
--- Diff:
core/src/main/scala/org/apache/spark/internal/config/package.scala ---
@@ -597,6 +597,16 @@ package object config {
.checkValue(v =>
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