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Also, please fix the PR title to be more descriptive. For instance,
`[SPARK-25493][SQL] Use auto-detection for CRLF in CSV datasource multiline
mode`.
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Thanks, @cloud-fan, @BryanCutler and @holdenk
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Merged only to master since I assume it's likely we will meet the test
failures on master branch specifically more often.
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--- Diff:
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@@ -416,7 +426,7 @@ class RelationalGroupedDataset
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The conflicts looks mainly renaming. I opened a backport -
https://github.com/apache/spark/pull/22529
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[SPARK-25460][BRANCH-2.4][SS] DataSourceV2: SS sources do not respect
SessionConfigSupport
## What changes were proposed in this pull request?
This PR proposes to backport SPARK-25460
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and branch-2.4.
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--- Diff: python/pyspark/context.py ---
@@ -537,8 +537,10 @@ def _serialize_to_jvm(self, data, serializer,
reader_func, createRDDServer):
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@@ -171,7 +184,12 @@ void validateDataFrameWithBeans(Bean bean,
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala ---
@@ -1100,13 +1101,24 @@ object SQLContext {
attrs:
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@lovezeropython please close this.
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@@ -41,7 +42,12 @@ object CodecStreams {
Github user dongjoon-hyun commented on the issue:
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I've considered this for 2.3.3 since 2.3.2 RC6 vote was already started.
For now, I'm waiting the result of vote.
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+1, late LGTM.
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Sorry for missing this deprecation.
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@@ -18,52 +18,52 @@
package
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--- Diff:
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@@ -34,621 +34,508 @@ import
Github user erikerlandson commented on the issue:
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I think targeting 3.0 with a refactor makes the most sense. There's no way
to do this without making small breaking changes, but slightly larger changes
could clean up the design.
Github user srowen commented on the issue:
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Yeah I take your point that the trait Impurity already defines two methods,
only one of which is implemented for each of the subclasses. It's already a
funky design that probably should have been
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jenkins, retest this, please
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[SPARK-25513][SQL] Read zipped CSV and JSON
## What changes were proposed in this pull request?
In the PR, I propose to support reading of zip archives containing **one**
CSV or JSON file
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[SPARK-17952][SQL] Nested Java beans support in createDataFrame
## What changes were proposed in this pull request?
When constructing a DataFrame from a Java bean, using nested beans
Github user bsikander commented on the issue:
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Could some please have a look at this?
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@wangyum I have left my comment in
https://github.com/apache/spark/pull/22484 .
Also, should we close this one and move to
https://github.com/apache/spark/pull/22484 ?
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@cloud-fan Great thanks for your offline guidance, as our discussion, I
reimplement this by adding a new rule `HandlePythonUDFInJoinCondition` in
Analyzer, revert all changes in `Optimizer`
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -995,7 +995,8 @@ class Dataset[T] private[sql](
// After the
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--- Diff:
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@@ -0,0 +1,52 @@
+/*
+ * Licensed to
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Thanks @cloud-fan I have migrate
[`AggregateBenchmark`](https://github.com/apache/spark/pull/22484/files) to use
new trait.
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Sure, updated.
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cc @vanzin
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[SPARK-25502]Empty Page when page number exceeds the reatinedTask size.
## What changes were proposed in this pull request?
Test steps :
1) bin/spark-shell --conf
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