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gengliangwang commented on a change in pull request #24849: [SPARK-28018][SQL]
Allow upcasting decimal to double/float
URL: https://github.com/apache/spark/pull/24849#discussion_r292791870
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@rxin Thanks, +1.
I think we can close this one.
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retest this please
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@tejasapatil I am facing the same issue while joining to bucketed tables . I
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@cloud-fan @ueshin @maropu @dongjoon-hyun @rxin @rdblue @gatorsmile
@HyukjinKwon
Actually, I am not super
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[SPARK-27893][SQL][PYTHON] Create an integrated test base for Python, Scalar
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It was my mistake to open the issue without preparing the performance
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## What changes were proposed in this pull request?
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rxin commented on issue #24849: [SPARK-28018][SQL] Allow upcasting decimal to
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URL: https://github.com/apache/spark/pull/24849#issuecomment-501183063
We shouldn't do this. Decimal guarantees no loss of precision (which is
important for financial calculations). This type of
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- This PR makes it possible to calculate percentile
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URL: https://github.com/apache/spark/pull/24297#issuecomment-501239490
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SparkQA commented on issue #24297: [SPARK-27299][GRAPH][WIP] Spark Graph API
design proposal
URL: https://github.com/apache/spark/pull/24297#issuecomment-501239482
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AmplabJenkins removed a comment on issue #24779: [SPARK-27929][SQL] Make
percentile function receive frq of double
URL: https://github.com/apache/spark/pull/24779#issuecomment-501245330
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