[GitHub] spark issue #19686: [MINOR][SQL] Fix a misleading `resultSchema` in ParquetF...

2017-11-08 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue:

https://github.com/apache/spark/pull/19686
  
According to our discussion, I close this, @srowen .
Thanks!


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[GitHub] spark issue #19686: [MINOR][SQL] Fix a misleading `resultSchema` in ParquetF...

2017-11-07 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/19686
  
Merged build finished. Test PASSed.


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[GitHub] spark issue #19686: [MINOR][SQL] Fix a misleading `resultSchema` in ParquetF...

2017-11-07 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/19686
  
Test PASSed.
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[GitHub] spark issue #19686: [MINOR][SQL] Fix a misleading `resultSchema` in ParquetF...

2017-11-07 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/19686
  
**[Test build #83565 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/83565/testReport)**
 for PR 19686 at commit 
[`45728c9`](https://github.com/apache/spark/commit/45728c9fcaa1ff185644723bb6ff21e9eb3614e7).
 * This patch passes all tests.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #19686: [MINOR][SQL] Fix a misleading `resultSchema` in ParquetF...

2017-11-07 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue:

https://github.com/apache/spark/pull/19686
  
Thank you for review. Yes. Technically, the previous one is not wrong. It 
means an unordered set of attributes. So it's minor.

In both 
[FileFormat.buildReaderWithPartitionValues](https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileFormat.scala#L119)
 and 
[ParquetFileFormat.buildReaderWithPartitionValues](https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFileFormat.scala#L297),
 `fullSchema` has the consistent meaning like the following and it should be 
ordered. `resultSchema` is not a different one from `fullSchema`, but it looks 
like in an opposite way and makes me confused at a glance. IMO, it would be 
better to be consistent with `fullSchema` while reading the code.
```scala
val fullSchema = requiredSchema.toAttributes ++ partitionSchema.toAttributes
```


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[GitHub] spark issue #19686: [MINOR][SQL] Fix a misleading `resultSchema` in ParquetF...

2017-11-07 Thread srowen
Github user srowen commented on the issue:

https://github.com/apache/spark/pull/19686
  
Why is the order important here? Wasn't obvious to mr


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[GitHub] spark issue #19686: [MINOR][SQL] Fix a misleading `resultSchema` in ParquetF...

2017-11-07 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/19686
  
**[Test build #83565 has 
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