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Replace aggregators by UDAFs where possible #292

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FRosner opened this issue Mar 28, 2016 · 0 comments
Open
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Replace aggregators by UDAFs where possible #292

FRosner opened this issue Mar 28, 2016 · 0 comments
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@FRosner
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FRosner commented Mar 28, 2016

Description

If we do aggregations on data frames, we should avoid using aggregators that require an RDD (df.rdd.aggregate(...)). If possible, we should replace all these patterns by UDAFs, which will simplify the code a lot because we don't have to work with Row objects anymore.

Prerequisites

  • Spark version used supports UDAFs
@FRosner FRosner self-assigned this Mar 28, 2016
@FRosner FRosner added this to the 4.1.0 milestone Mar 28, 2016
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