GitHub user zhichao-li opened a pull request:
https://github.com/apache/spark/pull/9097
[WIP]Combine splits by size
The idea is simple and it try to solve this problem by combining splits by
size which has been generated by the underlying inputformat, so it would
support all of
Github user a-roberts commented on the pull request:
https://github.com/apache/spark/pull/8995#issuecomment-147657380
Josh, apologies for the late response here and making sure I'm
understanding your proposal
For your first comment the naive way would to be add
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Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/9095#issuecomment-147665208
CC @sryza @vanzin seems reasonable to make sure it's actually allocating
what YARN said it could?
Is this really the extent of the assumption though? it seems
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Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/9076#issuecomment-147672457
(Lines are too long and have some trailing whitespace it seems)
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https://github.com/apache/spark/pull/9096#discussion_r41845779
--- Diff: core/src/main/scala/org/apache/spark/scheduler/TaskLocation.scala
---
@@ -62,12 +62,5 @@ private[spark] object TaskLocation {
* These
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Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/9026#issuecomment-147664500
OK I confess I don't know this aspect well but I think you explained how
this is different from just accidentally making two HiveContexts here. To my
knowledge it sounds
Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/9095#issuecomment-147668124
Gotcha. This is probably my ignorance/misunderstanding then. As long as
this is the only place the fact that the requested amount wasn't the same as
the granted amount.
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Github user SaintBacchus commented on the pull request:
https://github.com/apache/spark/pull/9026#issuecomment-147660393
Actually there are two metastores. In hive-1.2.1 when we use
`metastoe.Hive`, it will create the metastore in static code block. As spark
have two class
Github user jerryshao commented on the pull request:
https://github.com/apache/spark/pull/9095#issuecomment-147667700
@srowen , not sure what exactly you mean?
From what I know in `CoarseGrainedSchedulerBackend`, it will manage the
executors with cores available, this number
Github user Lewuathe commented on a diff in the pull request:
https://github.com/apache/spark/pull/8884#discussion_r41863564
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/regression/LinearRegressionSuite.scala
---
@@ -93,525 +94,559 @@ class LinearRegressionSuite extends
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Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/9045
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Github user tgravescs commented on the pull request:
https://github.com/apache/spark/pull/8887#issuecomment-147722497
@vanzin does this also fix https://github.com/apache/spark/pull/7786?
From the description is sounds like it.
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Github user tgravescs commented on the pull request:
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+1 thanks!
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Github user tgravescs commented on a diff in the pull request:
https://github.com/apache/spark/pull/9095#discussion_r41866396
--- Diff:
yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocator.scala ---
@@ -414,7 +418,7 @@ private[yarn] class YarnAllocator(
Github user tgravescs commented on a diff in the pull request:
https://github.com/apache/spark/pull/9095#discussion_r41866472
--- Diff:
yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocator.scala ---
@@ -395,6 +395,10 @@ private[yarn] class YarnAllocator(
val
Github user Lewuathe commented on the pull request:
https://github.com/apache/spark/pull/8884#issuecomment-147712068
@dbtsai Thank you so much for reviewing many times. Could check it again,
please?
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Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/9095#discussion_r41857332
--- Diff:
yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocator.scala ---
@@ -395,6 +395,10 @@ private[yarn] class YarnAllocator(
val
Github user lianhuiwang commented on the pull request:
https://github.com/apache/spark/pull/9045#issuecomment-147695726
@tgravescs @vanzin i have updated it. thanks.
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Github user jerryshao commented on the pull request:
https://github.com/apache/spark/pull/9075#issuecomment-147702807
The fix looks good to me.
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GitHub user zero323 opened a pull request:
https://github.com/apache/spark/pull/9098
[SPARK-11084][ML][PYTHON] Check if index can contain non-zero value before
binary search
At this moment `SparseVector.__getitem__` executes `np.searchsorted` first
and checks if result is in an
Github user Sephiroth-Lin commented on a diff in the pull request:
https://github.com/apache/spark/pull/7931#discussion_r41853694
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/client/IsolatedClientLoader.scala
---
@@ -124,6 +124,7 @@ private[hive] class
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--- Diff:
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@@ -395,6 +395,10 @@ private[yarn] class YarnAllocator(
val
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Github user jerryshao commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/scheduler/TaskLocation.scala
---
@@ -62,12 +62,5 @@ private[spark] object TaskLocation {
* These
Github user AmplabJenkins commented on the pull request:
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Can one of the admins verify this patch?
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@@ -130,9 +131,54 @@ class LinearRegression(override val uid:
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https://github.com/apache/spark/pull/9095#discussion_r41858120
--- Diff:
yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocator.scala ---
@@ -395,6 +395,10 @@ private[yarn] class YarnAllocator(
val
Github user Sephiroth-Lin commented on a diff in the pull request:
https://github.com/apache/spark/pull/7417#discussion_r41855351
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/joins/CartesianProduct.scala
---
@@ -28,9 +28,17 @@ import
Github user Lewuathe commented on a diff in the pull request:
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala ---
@@ -130,9 +131,54 @@ class LinearRegression(override val uid:
Github user steveloughran commented on the pull request:
https://github.com/apache/spark/pull/5423#issuecomment-147698799
I've been thinking about this âhow about I do the following
# have move the history in under yarn/src/history, as discussed above
# also as discussed
Github user tgravescs commented on the pull request:
https://github.com/apache/spark/pull/9095#issuecomment-147734624
Sometimes its not up to the user what scheduler they user. Like in our
case cluster admins choose what its running and users just use it. They have
to use whatever
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Github user steveloughran commented on the pull request:
https://github.com/apache/spark/pull/8744#issuecomment-147749231
I've pushed out a rebase of this against master.
1. The asynchronous publishing of events with retries and, eventually
dropped events, appears to be
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Github user zsxwing commented on the pull request:
https://github.com/apache/spark/pull/9048#issuecomment-147751626
LGTM
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Github user jerryshao commented on the pull request:
https://github.com/apache/spark/pull/9095#issuecomment-147727046
But from yarn's side actually only allocated 1 vcores, whereas in the
driver side, it notified with more than 1 cores when executor get registered,
this is not
Github user tgravescs commented on the pull request:
https://github.com/apache/spark/pull/9095#issuecomment-147721566
So actually against this change. It breaks backwards compatibility and I
think the current behavior is what we want.
@jerryshao why do you think this is a
Github user jerryshao commented on a diff in the pull request:
https://github.com/apache/spark/pull/9095#discussion_r41872358
--- Diff:
yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocator.scala ---
@@ -395,6 +395,10 @@ private[yarn] class YarnAllocator(
val
Github user tgravescs commented on the pull request:
https://github.com/apache/spark/pull/9095#issuecomment-147734023
Actually YARN doesn't allocate any. The only reason it reports 1 is because
cpu scheduling is disabled and its trying to return something reasonable.YARN
does not
Github user jerryshao commented on the pull request:
https://github.com/apache/spark/pull/9095#issuecomment-147737702
Yeah, I get it, thanks a lot for your explanation, still from user' point,
it may easily get confused, maybe we should document this difference.
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Github user jerryshao commented on the pull request:
https://github.com/apache/spark/pull/9095#issuecomment-147727971
If user want to set executor cores more than 1, user should choose dominant
scheduler calculator, that will keep consistent both in spark and yarn side.
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Github user zero323 commented on the pull request:
https://github.com/apache/spark/pull/9009#issuecomment-147753463
@jkbradley It's my pleasure. I've created a
[JIRA](https://issues.apache.org/jira/browse/SPARK-11084) and opened a
[PR](https://github.com/apache/spark/pull/9098).
Github user tgravescs commented on a diff in the pull request:
https://github.com/apache/spark/pull/8887#discussion_r41882345
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala ---
@@ -459,46 +492,30 @@ private[spark] class TaskSchedulerImpl(
}
Github user tgravescs commented on a diff in the pull request:
https://github.com/apache/spark/pull/8887#discussion_r41884442
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/TaskSetManager.scala ---
@@ -781,6 +781,23 @@ private[spark] class TaskSetManager(
Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/9090#issuecomment-147756356
Making a pass now
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Github user vanzin commented on the pull request:
https://github.com/apache/spark/pull/9095#issuecomment-147767229
There's related discussion about this in
https://issues.apache.org/jira/browse/SPARK-6050 and the respective PR (#4818).
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Github user vanzin commented on the pull request:
https://github.com/apache/spark/pull/8887#issuecomment-147768213
@tgravescs this change does not replace #7786; that change makes the code
stop allocating tasks on containers that will be preempted soon, while this
change does that
Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/9084#issuecomment-147768208
retest this please
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Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/9050
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/6848#issuecomment-147778564
Merged build started.
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/6848#issuecomment-147778517
Merged build triggered.
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