Github user dongjoon-hyun commented on the issue:
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That would be helpful for us in the end. But, sorry for now. I'm currently
not planning it open soon because the next release (Apache Spark 2.5 or 3.0)
will next year.
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Github user tooptoop4 commented on the issue:
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@dongjoon-hyun I was planning to do my own custom build by cherrypicking
your PR if you had it available
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Github user dongjoon-hyun commented on the issue:
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@tooptoop4 . Since this is a new feature, it's now targeting for Apache
Spark 2.5 since `branch-2.4` is already cut. In addition, this will not be
allowed for backporting `branch-2.4`. Is it
Github user tooptoop4 commented on the issue:
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bump
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Github user dongjoon-hyun commented on the issue:
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Thank you for review, @tooptoop4 and @wangyum .
I'm going to update this to the latest Hive 3.1.0.
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Github user tooptoop4 commented on the issue:
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Also, can hive 3.1 be supported easily or are there some breaking changes?
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Github user tooptoop4 commented on the issue:
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@dongjoon-hyun @wangyum @gatorsmile @HyukjinKwon Anything left on this? can
it be merged to master?
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Github user gatorsmile commented on the issue:
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@dongjoon-hyun Thanks for your investigation!
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Github user gatorsmile commented on the issue:
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@wangyum I do not think we should deprecate the support of the previous
versions of Hive metastore. Many Spark users are still using them.
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Github user dongjoon-hyun commented on the issue:
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I'm investigating timing issue here. Spark loads Hive Metastore class
lazily. Here, Spark is trying to access Hive metastore tables like `DBS` before
it's created.
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Github user HyukjinKwon commented on the issue:
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Probably separate ticket for Spark 3.0.0.
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Github user wangyum commented on the issue:
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Can we remove the old hive support? such as 0.12, 0.13 and 0.14.
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Github user dongjoon-hyun commented on the issue:
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Retest this please.
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The failures some from `ClassNotFoundException:
org.apache.logging.log4j.util.Strings`.
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