Github user seancxmao commented on the issue:
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@dongjoon-hyun Thank you!
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Github user dongjoon-hyun commented on the issue:
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Thank you, @seancxmao .
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Github user dongjoon-hyun commented on the issue:
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Merged to master/2.4.
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Github user dongjoon-hyun commented on the issue:
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Retest this please.
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Github user dongjoon-hyun commented on the issue:
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The following is the sequence.
```scala
scala> sql("insert overwrite local directory '/tmp/parquet' stored as
parquet select 1 id, 2 id")
```
```
$ parquet-tools
Github user seancxmao commented on the issue:
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> ... we need this duplication check in case-sensitive mode ...
Do you mean we may define ORC/Parquet schema with identical field names
(even in the same letter case)? Would you please explain
Github user dongjoon-hyun commented on the issue:
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BTW, I think we need this duplication check in case-sensitive mode, too.
I'll ping on previous Parquet PR.
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Github user seancxmao commented on the issue:
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@dongjoon-hyun That's all right :). I have reverted to the first commit and
adjusted the indentation.
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Github user dongjoon-hyun commented on the issue:
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@seancxmao . I mistook yesterday. Could you restore to your first commit?
In the first commit, please adjust the indentation at [line
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Github user cloud-fan commented on the issue:
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ok to test
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Github user dongjoon-hyun commented on the issue:
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Thank you, @seancxmao .
Also, I made a PR to you, https://github.com/seancxmao/spark/pull/1 , to
simply the logic.
Could you review and merge that if you think that's okay?
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Github user seancxmao commented on the issue:
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I updated the PR description. Thank you for pointing that PR description
should stay focused. I also think it's more clear.
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Github user dongjoon-hyun commented on the issue:
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Sorry, but I'm still feeling that this PR is losing focus. How about
mentioning what you do in this PR like the following?
```
Apache Spark doesn't create Hive table with
Github user dongjoon-hyun commented on the issue:
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Thank you, @seancxmao . I'll review tonight again.
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Github user seancxmao commented on the issue:
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@dongjoon-hyun I have updated PR description to explain in more details. As
you mentioned, this PR is specific to the case when reading from data source
table persisted in metastore.
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Github user dongjoon-hyun commented on the issue:
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@seancxmao . Could you explain why we need this PR? Apache Spark 2.3.1
already shows exceptions like the following for the case (for both ORC and
Parquet), doesn't it?
```scala
Github user seancxmao commented on the issue:
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@dongjoon-hyun @cloud-fan @gatorsmile Could you please kindly review this?
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Can one of the admins verify this patch?
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Can one of the admins verify this patch?
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Can one of the admins verify this patch?
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