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[SPARK-10671] [SQL] Throws an analysis exception if we cannot find Hive UDFs #8800
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This change is for testing.
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Test build #42616 has finished for PR 8800 at commit
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Currently |
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The impact of saving the metadata in a hive compatible way or not will appear when a user want to read the data. I am not sure they can remember how the metadata is stored. It is also very possible that the data producer and consumer are different persons/different teams. |
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Test build #42617 has finished for PR 8800 at commit
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Test build #1771 has finished for PR 8800 at commit
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Test build #42631 has finished for PR 8800 at commit
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hmm, it is not really safe to call dataType to trigger the evaluation of those lazy vals.
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Will split this PR to two PRs. |
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Test build #42672 has finished for PR 8800 at commit
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Test build #42679 has finished for PR 8800 at commit
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Test build #42692 has finished for PR 8800 at commit
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LGTM |
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Should we add a comment here to say that we do type checking inside hive UDF class(such as HiveSimpleUDF) constructor?
…ve UDFs Takes over #8800 Author: Wenchen Fan <[email protected]> Closes #8941 from cloud-fan/hive-udf.
…ve UDFs Takes over apache/spark#8800 Author: Wenchen Fan <[email protected]> Closes #8941 from cloud-fan/hive-udf.
https://issues.apache.org/jira/browse/SPARK-10671