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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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