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[MINOR][SQL] Update the DataFrameWriter.bucketBy comment #27930
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maropu
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Mar 17, 2020
sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
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Test build #119902 has finished for PR 27930 at commit
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Test build #119910 has finished for PR 27930 at commit
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Retest this please. |
dongjoon-hyun
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[SQL][MINOR] Update the DataFrameWriter.bucketBy comment
[MINOR][SQL] Update the DataFrameWriter.bucketBy comment
Mar 17, 2020
dongjoon-hyun
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Mar 17, 2020
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+1, LGTM. Merged to master/3.0/2.4.
Thank you, @maropu and @cloud-fan .
dongjoon-hyun
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Mar 17, 2020
### What changes were proposed in this pull request? This PR intends to update the `DataFrameWriter.bucketBy` comment for clearly describing that the bucketBy scheme follows a Spark "specific" one. I saw the questions about the current bucketing compatibility with Hive in [SPARK-31162](https://issues.apache.org/jira/browse/SPARK-31162?focusedCommentId=17060408&page=com.atlassian.jira.plugin.system.issuetabpanels%3Acomment-tabpanel#comment-17060408) and [SPARK-17495](https://issues.apache.org/jira/browse/SPARK-17495?focusedCommentId=17059847&page=com.atlassian.jira.plugin.system.issuetabpanels%3Acomment-tabpanel#comment-17059847) from users and IMHO the comment is a bit confusing to users about the compatibility ### Why are the changes needed? To make users understood smoothly. ### Does this PR introduce any user-facing change? No. ### How was this patch tested? N/A Closes #27930 from maropu/UpdateBucketByComment. Authored-by: Takeshi Yamamuro <yamamuro@apache.org> Signed-off-by: Dongjoon Hyun <dongjoon@apache.org> (cherry picked from commit 124b4ce) Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
dongjoon-hyun
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Mar 17, 2020
### What changes were proposed in this pull request? This PR intends to update the `DataFrameWriter.bucketBy` comment for clearly describing that the bucketBy scheme follows a Spark "specific" one. I saw the questions about the current bucketing compatibility with Hive in [SPARK-31162](https://issues.apache.org/jira/browse/SPARK-31162?focusedCommentId=17060408&page=com.atlassian.jira.plugin.system.issuetabpanels%3Acomment-tabpanel#comment-17060408) and [SPARK-17495](https://issues.apache.org/jira/browse/SPARK-17495?focusedCommentId=17059847&page=com.atlassian.jira.plugin.system.issuetabpanels%3Acomment-tabpanel#comment-17059847) from users and IMHO the comment is a bit confusing to users about the compatibility ### Why are the changes needed? To make users understood smoothly. ### Does this PR introduce any user-facing change? No. ### How was this patch tested? N/A Closes #27930 from maropu/UpdateBucketByComment. Authored-by: Takeshi Yamamuro <yamamuro@apache.org> Signed-off-by: Dongjoon Hyun <dongjoon@apache.org> (cherry picked from commit 124b4ce) Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
Thanks, guys! |
sjincho
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Apr 15, 2020
### What changes were proposed in this pull request? This PR intends to update the `DataFrameWriter.bucketBy` comment for clearly describing that the bucketBy scheme follows a Spark "specific" one. I saw the questions about the current bucketing compatibility with Hive in [SPARK-31162](https://issues.apache.org/jira/browse/SPARK-31162?focusedCommentId=17060408&page=com.atlassian.jira.plugin.system.issuetabpanels%3Acomment-tabpanel#comment-17060408) and [SPARK-17495](https://issues.apache.org/jira/browse/SPARK-17495?focusedCommentId=17059847&page=com.atlassian.jira.plugin.system.issuetabpanels%3Acomment-tabpanel#comment-17059847) from users and IMHO the comment is a bit confusing to users about the compatibility ### Why are the changes needed? To make users understood smoothly. ### Does this PR introduce any user-facing change? No. ### How was this patch tested? N/A Closes apache#27930 from maropu/UpdateBucketByComment. Authored-by: Takeshi Yamamuro <yamamuro@apache.org> Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
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What changes were proposed in this pull request?
This PR intends to update the
DataFrameWriter.bucketBy
comment for clearly describing that the bucketBy scheme follows a Spark "specific" one.I saw the questions about the current bucketing compatibility with Hive in SPARK-31162 and SPARK-17495 from users and IMHO the comment is a bit confusing to users about the compatibility
Why are the changes needed?
To make users understood smoothly.
Does this PR introduce any user-facing change?
No.
How was this patch tested?
N/A