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new 7296999 [SPARK-26462][CORE] Use ConfigEntry
Author: srowen
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Github user srowen commented on the issue:
https://github.com/apache/spark/pull/22683
In this case the change is simpler to understand in prose, I think; "100
KB" becomes "97.6 KiB", etc.
---
---
Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/23275#discussion_r240234573
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ScalaUDF.scala
---
@@ -47,25 +47,13 @@ case class ScalaUDF
Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/23275#discussion_r240234371
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ScalaUDF.scala
---
@@ -47,25 +47,13 @@ case class ScalaUDF
Github user srowen commented on the issue:
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Ok, got it. @vanzin or @squito or others would be better able to evaluate.
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Github user srowen commented on the issue:
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@dongjoon-hyun @felixcheung how about now?
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Github user srowen commented on the issue:
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If you're on YARN, this feels like something you would manage via YARN and
its cluster management options. Is there a specific use case here, that this
has to happen in Spark
Github user srowen commented on the issue:
https://github.com/apache/spark/pull/23263
My first impression is that it's a big change, which is reason for caution
here.
Visualizing a workflow is nice, but Spark's Pipelines are typically pretty
straightforward and linear. I
Repository: spark
Updated Branches:
refs/heads/master 877f82cb3 -> ec506bd30
[SPARK-26283][CORE] Enable reading from open frames of zstd, when reading zstd
compressed eventLog
## What changes were proposed in this pull request?
Root cause: Prior to Spark2.4, When we enable zst for eventLog
Github user srowen commented on the issue:
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Merged to master
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Github user srowen commented on the issue:
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Fortunately the syntax is "100m", which has always meant "100 * 1024 *
1024" or "100 MiB"
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Github user srowen closed the pull request at:
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GitHub user srowen opened a pull request:
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Update to Scala 2.12.8
## What changes were proposed in this pull request?
Back-port of https://github.com/apache/spark/pull/23218 ; updates Scala
2.12 build to 2.12.8
## How
Github user srowen commented on the issue:
https://github.com/apache/spark/pull/23218
Merged to master. I'll open a separate PR for branch-2.4
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Github user srowen closed the pull request at:
https://github.com/apache/spark/pull/23218
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Repository: spark
Updated Branches:
refs/heads/master 9b1f6c8ba -> 2ea9792fd
[SPARK-26266][BUILD] Update to Scala 2.12.8
## What changes were proposed in this pull request?
Update to Scala 2.12.8
## How was this patch tested?
Existing tests.
Closes #23218 from srowen/SPARK-26
Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/23225#discussion_r239990036
--- Diff:
core/src/main/java/org/apache/spark/shuffle/sort/ShuffleExternalSorter.java ---
@@ -161,6 +161,10 @@ private void writeSortedFile(boolean
Github user srowen commented on the issue:
https://github.com/apache/spark/pull/23256
CC @felixcheung
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Github user srowen commented on the issue:
https://github.com/apache/spark/pull/23160
Merged to master. @shahidki31 does this need to go in branch 2.4, 2.3? I
tried back porting it, but looks like a lot of the affected code didn't exist
in 2.4. If the fix can or should also be back
Repository: spark
Updated Branches:
refs/heads/master bd00f1077 -> 3b8ae2373
[SPARK-26196][SPARK-26281][WEBUI] Total tasks title in the stage page is
incorrect when there are failed or killed tasks and update duration metrics
## What changes were proposed in this pull request?
This PR fixes
Repository: spark
Updated Branches:
refs/heads/master 9b7679a97 -> bd00f1077
[MINOR][SQL][DOC] Correct parquet nullability documentation
## What changes were proposed in this pull request?
Parquet files appear to have nullability info when being written, not being
read.
## How was this
Github user srowen commented on the issue:
https://github.com/apache/spark/pull/23247
Merged to master
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Github user srowen commented on the issue:
https://github.com/apache/spark/pull/17673
@ngopal this one can't be merged as-is and looks like it was abandoned.
Would you like to take this PR, update per reviews? I'd review that. I think
CBOW could be useful in MLlib
Github user srowen commented on the issue:
https://github.com/apache/spark/pull/23218
I'm not sure. I can't find any other reference to this crash and 2.12.8. It
could be something only Spark happens to trigger, or could be specific to this
JVM + platform but not Spark or Scala. We
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