Github user liyinan926 commented on the issue:
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@felixcheung This feature was discussed and this PR was started before
https://issues.apache.org/jira/browse/SPARK-24434 was even brought up. Being
able to mount commonly used types of volumes
Github user viirya commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
---
@@ -344,6 +344,36 @@ case class Join(
Github user caneGuy commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
---
@@ -1049,6 +1049,13 @@ class DAGScheduler(
abortStage(stage,
Github user felixcheung commented on the issue:
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@skonto is it better to generalize the approach to match the one in
https://issues.apache.org/jira/browse/SPARK-24435?
not sure if @mccheah @foxish @erikerlandson have any last thought
Github user caneGuy commented on the issue:
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@maropu May be i will do this check?As @cloud-fan mentioned.
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--- Diff:
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@@ -131,6 +132,8 @@ private[sql] class HiveSessionCatalog(
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Github user mridulm commented on the issue:
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@jiangxb1987 Any closure sensitive to iteration order [1] is effected by
this - under the set of circumstances.
If we cannot solve it in a principled manner (make shuffle repeatable which
I
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Github user dongjoon-hyun commented on a diff in the pull request:
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--- Diff:
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---
@@ -160,7 +160,7 @@ class
Github user edwinalu commented on a diff in the pull request:
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--- Diff:
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@@ -160,11 +160,29 @@ case class
Github user felixcheung commented on the issue:
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IMO it's fine we have one version supported in the image and stick with
that.
the tricky thing is having maintainers to keep updating/testing the newer
versions in the images (we have
Github user rdblue commented on a diff in the pull request:
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--- Diff:
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@@ -240,21 +238,27 @@ final class DataFrameWriter[T] private[sql](ds:
Github user rdblue commented on a diff in the pull request:
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--- Diff:
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@@ -38,15 +38,16 @@
* If this method fails (by throwing an
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--- Diff:
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@@ -2120,6 +2122,99 @@ class Analyzer(
}
}
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}
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}
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[SPARK-24759] [SQL] No reordering keys for broadcast hash join
## What changes were proposed in this pull request?
As the implementation of the broadcast hash join is independent of the
Github user rdblue commented on a diff in the pull request:
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--- Diff:
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@@ -0,0 +1,123 @@
+/*
+ * Licensed to the Apache
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Merging to master. Thanks!
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Github user jiangxb1987 commented on the issue:
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Thank you for your comments @mridulm !
We focus on resolving the RDD.repartition() correctness issue here in this
PR, because it is most commonly used, and that we can still address the
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Can one of the admins verify this patch?
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@hvanhovell Please, have a look at the PR.
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[SPARK-24757][SQL] Improving the error message for broadcast timeouts
## What changes were proposed in this pull request?
In the PR, I propose to provide a tip to user how to resolve the
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retest this please.
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--- Diff: dev/deps/spark-deps-hadoop-2.6 ---
@@ -21,8 +21,6 @@ automaton-1.11-8.jar
avro-1.7.7.jar
avro-ipc-1.7.7.jar
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retest this please
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Github user yuanboliu commented on the issue:
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@koeninger Thanks for your reply. Agree with you. there is no need to to
use pause repeatedly.
This is my test without any pause, and the app master stuck for a long time
without any process
Github user baluchicken commented on the issue:
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Nice work, only one thing I would consider including a StorageClass name
option for the PersistentVolumeClaim volume type which defaults to an empty
string. Without that the PVC will always use
Github user mridulm commented on the issue:
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I did not go over the PR itself in detail, but the proposal sounds very
expensive - particularly given the cascading costs involved.
Also, I am not sure why we are special case'ing only
Github user ifilonenko commented on the issue:
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@foxish The problem is the same as described here:
https://github.com/moby/moby/issues/32457 which should have been solved in
`Docker 17.05`. As such, this is prompted by a deprecated version
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--- Diff:
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@@ -723,6 +723,13 @@ private[spark] class TaskSetManager(
def
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retest this please
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Github user AmplabJenkins commented on the issue:
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