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Github user gengliangwang commented on the issue:
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Personally I am against accessing the main args in such way. It looks a bit
ugly.
But if we have to move everything to `BenchmarkBase`, then maybe this is
the way.
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thanks, merging to master/2.4/2.3!
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retest this please
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late LGTM
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Retest this please.
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Who introduced this? We should ask the person that introduced it whether it
can be removed.
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@ouyangxiaochen . Sorry, but the use case sounds like a misconfiguration.
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Github user dongjoon-hyun commented on the issue:
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Thank you, @seancxmao and @felixcheung .
@seancxmao . Please close this PR since it's merged now.
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Merged to `branch-2.3`.
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At least, the following is worth for a separate PR because it's orthogonal
`Refactor ... to use main method`.
```
1. Make mainArgs correctly set in BenchmarkBase.
```
One
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I see. Thank you for confirmation, @gatorsmile and @cloud-fan .
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@@ -812,6 +812,17 @@ object SQLConf {
.intConf
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@@ -415,9 +420,54 @@ private[spark] class TaskSchedulerImpl(
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--- Diff: mllib/src/main/scala/org/apache/spark/mllib/feature/PCA.scala ---
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Github user squito commented on the issue:
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one minor comment about the `start` api, but otherwise lgtm from the yarn
side. would need a bit more time to look at the other cluster managers if
nobody else can vouch for those.
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package
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select
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--- Diff: docs/sql-migration-guide-upgrade.md ---
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- The `ADD JAR` command previously
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cc @BryanCutler and @gatorsmile.
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[SPARK-25179][PYTHON][DOCS] Document BinaryType support in Arrow conversion
## What changes were proposed in this pull request?
This PR targets to document binary type in "Apache Arrow
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@@ -240,7 +240,7 @@ class
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@@ -373,6 +383,32 @@ object ScalaReflection extends
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Github user HyukjinKwon commented on the issue:
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@dongjoon-hyun and @wangyum, please fix my comment if I am wrong at any
point - I believe you guys took a look for this part more then I did.
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Github user HyukjinKwon commented on the issue:
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> Does this upgrade Hive for execution or also for metastore? Spark
supports virtually all Hive metastore versions out there, and a lot of
deployments do run different versions of Spark against
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- The `ADD JAR` command
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Github user kiszk commented on the issue:
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Is it better to apply this util method to others (e.g.
`DataFrameRangeSuite.scala` and `DataFrameAggregateSuite.scala`)?
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It's definitely not a blocker, and we don't need to hold RC5 because of it.
I think it needs a little more review, and I'm going to cut RC5 today(2.4.0
has already been far delayed), so
Github user yucai commented on the issue:
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@dongjoon-hyun Originally, I want to do two things in this PR.
1. Make `mainArgs` correctly set in `BenchmarkBase`.
2. Include an example to use `mainArgs`: refactor
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
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val
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RC5 will have this fix
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@@ -206,7 +206,7 @@ case class
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--- Diff: docs/sql-migration-guide-hive-compatibility.md ---
@@ -51,6 +51,9 @@ Spark SQL supports the vast majority of Hive features,
such as:
*
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val
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This requires more careful review. I do not think we can make it in RC5
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@@ -2648,7 +2648,7 @@ class DataFrameFunctionsSuite extends
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Also, cc @gatorsmile .
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Thank you, @gatorsmile !
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LGTM
Thanks! Merged to master/2.4/2.3
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This PR will resolve a regression which is throwing
`java.lang.RuntimeException` for Parquet tables. I'm wondering if we can
consider this for 2.4.0 RC5.
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/command/createDataSourceTables.scala
---
@@ -21,7 +21,6 @@ import java.net.URI
Github user dongjoon-hyun commented on a diff in the pull request:
https://github.com/apache/spark/pull/22514#discussion_r228772719
--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveParquetSuite.scala ---
@@ -92,4 +92,18 @@ class HiveParquetSuite extends QueryTest
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/22870
Test FAILed.
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Test FAILed.
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