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@dilipbiswal Thanks! I'll take a look at it.
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kindly ping @cloud-fan @gatorsmile
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retest this please.
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retest this please
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retest this please
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LGTM
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> Seems like ArrayContains, ArrayRemove, and ElementAt for map types could
have the same problem?
@ueshin I have a PR opened for ArrayContains
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LGTM. Wait for the test. Thanks.
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retest this please.
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Just to be clear:
> current code which does p+10 breaks usecase mentioned by SPARK-25413
I think setting `spark.sql.decimalOperations.allowPrecisionLoss` to `false`
can solve the
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anymore comments @maropu @gatorsmile ?
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@MaxGekk, BTW, when the json functionailities were added at the first
place, it was suggested to ask it to dev mailing list and see if people really
want it or not. Mind if I ask this when
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> Out of curiosity, is this one related with an actual usecase Maxim? or is
this proposed for API consistency?
This is actual use case when users received CSV content dumped from another
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Can one of the admins verify this patch?
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[SPARK-25421][SQL] Abstract an output path field in trait DataWritingCommand
## What changes were proposed in this pull request?
#22353 import a metadata field in ```SparkPlanInfo``` and
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