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Posted to issues@spark.apache.org by "Gengliang Wang (Jira)" <ji...@apache.org> on 2025/01/15 01:12:00 UTC

[jira] [Assigned] (SPARK-50788) Add Benchmark for Large-Row Dataframe

     [ https://issues.apache.org/jira/browse/SPARK-50788?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Gengliang Wang reassigned SPARK-50788:
--------------------------------------

    Assignee: Yuchuan Huang

> Add Benchmark for Large-Row Dataframe
> -------------------------------------
>
>                 Key: SPARK-50788
>                 URL: https://issues.apache.org/jira/browse/SPARK-50788
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 4.0.0
>            Reporter: Yuchuan Huang
>            Assignee: Yuchuan Huang
>            Priority: Major
>              Labels: pull-request-available
>
> This proposal aims to introduce a new micro benchmark “LargeRowBenchmark” to check Spark's support/performance on large-row dataframes. A large-row dataframe is the one with MB-size cells (think about online chatting records). Different from existing WideTableBenchmark where the dataframe has more-than-normal columns, this benchmark focuses on dataframes with normal amount of columns but larger-than-usual cells. The purpose of this proposal is to add large-row dataframe to future performance regression check. 



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