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ulysses-you commented on a change in pull request #26462: [SPARK-29833][YARN]
Add FileNotFoundException check for spark.yarn.jars
URL: https://github.com/apache/spark/pull/26462#discussion_r344967554
##
File path:
resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/C
AmplabJenkins commented on issue #26474: [WIP][SPARK-29778] pass writer options
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SpaceRangerWes opened a new pull request #26474: [WIP][SPARK-29778] pass writer
options to saveAsTable in append mode
URL: https://github.com/apache/spark/pull/26474
### What changes were proposed in this pull request?
### Why are the changes needed?
##
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vanzin closed pull request #26397: [SPARK-29755][CORE] Provide @JsonDeserialize
for Option[Long] in LogInfo & AttemptInfoWrapper
URL: https://github.com/apache/spark/pull/26397
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vanzin commented on issue #26397: [SPARK-29755][CORE] Provide @JsonDeserialize
for Option[Long] in LogInfo & AttemptInfoWrapper
URL: https://github.com/apache/spark/pull/26397#issuecomment-552669794
Merging to master.
This is
vanzin closed pull request #26108: [SPARK-26154][SS] Streaming left/right outer
join should not return outer nulls for already matched rows
URL: https://github.com/apache/spark/pull/26108
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vanzin commented on issue #26108: [SPARK-26154][SS] Streaming left/right outer
join should not return outer nulls for already matched rows
URL: https://github.com/apache/spark/pull/26108#issuecomment-552669276
Yes. Merging to master.
maropu commented on issue #26441: [SPARK-29682][SQL] Resolve conflicting
references in aggregate expressions
URL: https://github.com/apache/spark/pull/26441#issuecomment-552668534
This issue can happen other than the cube aggregate as shown above?
-
maropu commented on a change in pull request #26441: [SPARK-29682][SQL] Resolve
conflicting references in aggregate expressions
URL: https://github.com/apache/spark/pull/26441#discussion_r344958732
##
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/An
HeartSaVioR commented on issue #26397: [SPARK-29755][CORE] Provide
@JsonDeserialize for Option[Long] in LogInfo & AttemptInfoWrapper
URL: https://github.com/apache/spark/pull/26397#issuecomment-55281
Bump
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HeartSaVioR commented on issue #26108: [SPARK-26154][SS] Streaming left/right
outer join should not return outer nulls for already matched rows
URL: https://github.com/apache/spark/pull/26108#issuecomment-552666483
Looks like no comment from others so far; shall we consider merging this?
-
jiangxb1987 commented on issue #25964: [SPARK-29287][Core] Add
ExecutorConstructed message to tell driver which executor is ready for making
offers
URL: https://github.com/apache/spark/pull/25964#issuecomment-552665680
It's fine to just set `freeCores` to 0 for now, since the scheduler won
AmplabJenkins removed a comment on issue #12302: [SPARK-14390][GraphX] Make
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URL: https://github.com/apache/spark/pull/12302#issuecomment-531899540
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holdenk commented on issue #26440: [WIP][SPARK-20628][CORE] Start to improve
Spark decommissioning & preemption support
URL: https://github.com/apache/spark/pull/26440#issuecomment-552664508
Ok digging into, looks like while I was updating the PR from 2017 I
accidentally broke the message
srowen commented on a change in pull request #26315: [SPARK-29152][CORE]
Executor Plugin shutdown when dynamic allocation is enabled
URL: https://github.com/apache/spark/pull/26315#discussion_r344955850
##
File path: core/src/main/scala/org/apache/spark/executor/Executor.scala
vanzin commented on issue #25964: [SPARK-29287][Core] Add ExecutorConstructed
message to tell driver which executor is ready for making offers
URL: https://github.com/apache/spark/pull/25964#issuecomment-552661328
Looks ok, but I haven't been following the new resource allocation work, so
maropu commented on issue #26301: [WIP] [SPARK-29644] [SQL] Corrected ShortType
and ByteType mapping to SmallInt and TinyInt in JDBCUtils
URL: https://github.com/apache/spark/pull/26301#issuecomment-552659968
still WIP?
This
vanzin commented on a change in pull request #26315: [SPARK-29152][CORE]
Executor Plugin shutdown when dynamic allocation is enabled
URL: https://github.com/apache/spark/pull/26315#discussion_r344952210
##
File path: core/src/main/scala/org/apache/spark/executor/Executor.scala
dbtsai closed pull request #24541: [SPARK-27646] [SQL] [WIP] Required
refactoring for bytecode analysis
URL: https://github.com/apache/spark/pull/24541
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ueshin commented on a change in pull request #25728: [SPARK-29020][WIP][SQL]
Improving array_sort behaviour
URL: https://github.com/apache/spark/pull/25728#discussion_r344934124
##
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/higherOrderFunctions
viirya commented on issue #26461: [SPARK-29831][SQL] Scan Hive partitioned
table should not dramatically increase data parallelism
URL: https://github.com/apache/spark/pull/26461#issuecomment-552643459
> For those performance reason, Apache Spark already converts Hive table to
data source
dongjoon-hyun closed pull request #26405: [SPARK-29766][sql] Do metrics
aggregation asynchronously in SQL listener.
URL: https://github.com/apache/spark/pull/26405
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dongjoon-hyun commented on a change in pull request #26405: [SPARK-29766][sql]
Do metrics aggregation asynchronously in SQL listener.
URL: https://github.com/apache/spark/pull/26405#discussion_r344935511
##
File path:
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ueshin commented on a change in pull request #25728: [SPARK-29020][WIP][SQL]
Improving array_sort behaviour
URL: https://github.com/apache/spark/pull/25728#discussion_r344934124
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ueshin commented on a change in pull request #25728: [SPARK-29020][WIP][SQL]
Improving array_sort behaviour
URL: https://github.com/apache/spark/pull/25728#discussion_r344933856
##
File path:
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dongjoon-hyun commented on issue #26461: [SPARK-29831][SQL] Scan Hive
partitioned table should not dramatically increase data parallelism
URL: https://github.com/apache/spark/pull/26461#issuecomment-552641872
For those performance reason, Apache Spark already converts Hive table to
data so
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vanzin commented on a change in pull request #26405: [SPARK-29766][sql] Do
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URL: https://github.com/apache/spark/pull/26405#discussion_r344934314
##
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SQLAppStatusL
dongjoon-hyun commented on issue #25702: [SPARK-29001][CORE] Print events that
take too long time to process
URL: https://github.com/apache/spark/pull/25702#issuecomment-552639139
Thank you for updating, @jiangxb1987 .
This i
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dongjoon-hyun commented on issue #26433: [SPARK-29771][K8S] Add configure to
limit executor failures
URL: https://github.com/apache/spark/pull/26433#issuecomment-552638443
Also, do you think you can add a test case for this new feature?
-
dongjoon-hyun commented on issue #26433: [SPARK-29771][K8S] Add configure to
limit executor failures
URL: https://github.com/apache/spark/pull/26433#issuecomment-552638544
cc @holdenk
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Add configure to limit executor failures
URL: https://github.com/apache/spark/pull/26433#discussion_r344931467
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xuanyuanking commented on a change in pull request #26201:
[SPARK-29543][SS][UI] Init structured streaming ui
URL: https://github.com/apache/spark/pull/26201#discussion_r344928483
##
File path:
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xuanyuanking commented on a change in pull request #26201:
[SPARK-29543][SS][UI] Init structured streaming ui
URL: https://github.com/apache/spark/pull/26201#discussion_r344913872
##
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xuanyuanking commented on a change in pull request #26201:
[SPARK-29543][SS][UI] Init structured streaming ui
URL: https://github.com/apache/spark/pull/26201#discussion_r344908636
##
File path:
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##
@@ -
viirya edited a comment on issue #26461: [SPARK-29831][SQL] Scan Hive
partitioned table should not dramatically increase data parallelism
URL: https://github.com/apache/spark/pull/26461#issuecomment-552631299
Another point is, for datasource table scan node, the parallelism is
controlled b
viirya edited a comment on issue #26461: [SPARK-29831][SQL] Scan Hive
partitioned table should not dramatically increase data parallelism
URL: https://github.com/apache/spark/pull/26461#issuecomment-552627966
> The optimal value for each table is unknown, isn't it? This PR doesn't
give any
jiangxb1987 commented on a change in pull request #25702: [SPARK-29001][CORE]
Print events that take too long time to process
URL: https://github.com/apache/spark/pull/25702#discussion_r344925923
##
File path: core/src/main/scala/org/apache/spark/internal/config/package.scala
#
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viirya commented on issue #26461: [SPARK-29831][SQL] Scan Hive partitioned
table should not dramatically increase data parallelism
URL: https://github.com/apache/spark/pull/26461#issuecomment-552631299
Another point is, for datasource table scan node, the parallelism can be
controlled by c
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> The optimal value for each table is unknown, isn't it? This PR doesn't
give any clue f
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SparkQA commented on issue #26118: [SPARK-24915][Python] Fix Row handling with
Schema.
URL: https://github.com/apache/spark/pull/26118#issuecomment-552626804
**[Test build #113602 has
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/113602/testReport)**
for PR 2
dongjoon-hyun commented on issue #26433: [SPARK-29771][K8S] Add configure to
limit executor failures
URL: https://github.com/apache/spark/pull/26433#issuecomment-552623044
Thank you for updating, @stczwd .
This is an automate
cozos commented on a change in pull request #25899: [SPARK-29089][SQL]
Parallelize blocking FileSystem calls in DataSource#checkAndGlobPathIfNecessary
URL: https://github.com/apache/spark/pull/25899#discussion_r344914942
##
File path:
sql/core/src/main/scala/org/apache/spark/sql/ex
cozos commented on a change in pull request #25899: [SPARK-29089][SQL]
Parallelize blocking FileSystem calls in DataSource#checkAndGlobPathIfNecessary
URL: https://github.com/apache/spark/pull/25899#discussion_r344914942
##
File path:
sql/core/src/main/scala/org/apache/spark/sql/ex
cozos commented on a change in pull request #25899: [SPARK-29089][SQL]
Parallelize blocking FileSystem calls in DataSource#checkAndGlobPathIfNecessary
URL: https://github.com/apache/spark/pull/25899#discussion_r344914942
##
File path:
sql/core/src/main/scala/org/apache/spark/sql/ex
dongjoon-hyun commented on a change in pull request #26471: [SPARK-29850][SQL]
sort-merge-join an empty table should not memory leak
URL: https://github.com/apache/spark/pull/26471#discussion_r344913207
##
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/
dongjoon-hyun commented on a change in pull request #26471: [SPARK-29850][SQL]
sort-merge-join an empty table should not memory leak
URL: https://github.com/apache/spark/pull/26471#discussion_r344912755
##
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/
AmplabJenkins removed a comment on issue #26441: [SPARK-29682][SQL] Resolve
conflicting references in aggregate expressions
URL: https://github.com/apache/spark/pull/26441#issuecomment-552618258
Merged build finished. Test PASSed.
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