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--- Diff:
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retest this please
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@jerryshao Could you review this PR? Thanks!
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retest this please
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ok to test
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--- Diff:
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@@ -39,98 +40,114 @@ import org.apache.spark.util.Utils
* has
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Can one of the admins verify this patch?
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Github user tgravescs commented on the issue:
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I've updated the description in
https://issues.apache.org/jira/browse/SPARK-21656 to join all my comments here
together, hopefully that clarifies it.
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Github user ProtD commented on the issue:
https://github.com/apache/spark/pull/18872
To reproduce the bug on v2.2 and v2.3:
```scala
import org.apache.spark.ml.linalg.Vectors
val rawData = Seq((1.0, Vectors.sparse(3, Seq((0, 2.0), (1, 3.0,
(4.0,
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Github user cloud-fan commented on the issue:
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The PR description is good for explaining the new behavior, but can you say
more about the implementation?
IMO, we just need to duplicate the event queue for each important listener
like
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--- Diff:
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@@ -256,6 +257,201 @@ class StatisticsSuite extends
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"disable logging or -1
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retest this please
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/HashingTF.scala
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@srowen Help review the code,Thanks.
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@@ -89,6 +89,14 @@ object CodeFormatter {
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GitHub user caneGuy opened a pull request:
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[SPARK-21689][YARN] Download user jar from remote in case get hadoop token
â¦
â¦failed
## What changes were proposed in this pull request?
When use yarn cluster mode,and we
GitHub user zhengruifeng opened a pull request:
https://github.com/apache/spark/pull/18902
[SPARK-21690][ML] one-pass imputer
## What changes were proposed in this pull request?
parallelize the computation of all columns
## How was this patch tested?
existing tests
Github user eatoncys commented on a diff in the pull request:
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--- Diff:
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Github user zhengruifeng commented on the issue:
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Jenkis, retest this please
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Github user mpjlu commented on the issue:
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Yes, I just concern if add toSparse(size) we should check the size in the
code, there will be no performance gain. If we don't need to check the "size"
(comparing size with numNonZero) in the code,
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GitHub user KevinZwx opened a pull request:
https://github.com/apache/spark/pull/18903
[SPARK-21590][SS]Window start time should support negative values
## What changes were proposed in this pull request?
Remove the non-negative checks of window start time to make window
Github user jerryshao commented on a diff in the pull request:
https://github.com/apache/spark/pull/18901#discussion_r132379527
--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala ---
@@ -516,6 +516,10 @@ object SparkSubmit extends CommandLineUtils {
if
Github user gatorsmile commented on a diff in the pull request:
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--- Diff:
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@@ -986,6 +986,7 @@ private[hive] object HiveClientImpl {
Github user eatoncys commented on a diff in the pull request:
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--- Diff:
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Github user srowen commented on the issue:
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This isn't what was proposed in the JIRA?
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Github user szalai1 commented on the issue:
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@ueshin Sure, I'll do it next week.
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--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala ---
@@ -516,6 +516,10 @@ object SparkSubmit extends CommandLineUtils {
if
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Github user jerryshao commented on the issue:
https://github.com/apache/spark/pull/18874
I think the current fix is a feasible and simple solution for the scenarios
mentioned above. As far as I understand from the comments above, ideally this
problem should not be happened, but in a
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https://github.com/apache/spark/pull/18901#discussion_r132386461
--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala ---
@@ -366,6 +366,17 @@ object SparkSubmit extends CommandLineUtils {
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Github user srowen commented on the issue:
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@tgravescs that's actually progress. You're no longer saying that the goal
is to keep a few executors around just in case
(https://issues.apache.org/jira/browse/SPARK-21656) or that the problem is
Github user viirya commented on a diff in the pull request:
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--- Diff:
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@@ -370,6 +370,14 @@ case class
Github user jerryshao commented on the issue:
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Can you please add a unit test to verify the classpath with your changes?
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GitHub user mpjlu opened a pull request:
https://github.com/apache/spark/pull/18904
[SPARK-21624]optimzie RF communicaiton cost
## What changes were proposed in this pull request?
The implementation of RF is bound by either the cost of statistics
computation on workers or
Github user mpjlu commented on the issue:
https://github.com/apache/spark/pull/18899
Thanks @srowen.
I will revise the code per your suggestion.
when I wrote the code, I just concerned user call toSparse(size) and give a
very small size.
---
If your project is set up for
Github user eatoncys commented on a diff in the pull request:
https://github.com/apache/spark/pull/18810#discussion_r132388819
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/WholeStageCodegenExec.scala
---
@@ -370,6 +370,14 @@ case class
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/18892
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/18892
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/18756
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