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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2023/02/06 14:24:00 UTC

[jira] [Assigned] (SPARK-42359) Support row skipping when reading CSV files

     [ https://issues.apache.org/jira/browse/SPARK-42359?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-42359:
------------------------------------

    Assignee: Apache Spark

> Support row skipping when reading CSV files
> -------------------------------------------
>
>                 Key: SPARK-42359
>                 URL: https://issues.apache.org/jira/browse/SPARK-42359
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 3.3.1
>            Reporter: Willi Raschkowski
>            Assignee: Apache Spark
>            Priority: Major
>         Attachments: Screenshot 2023-02-06 at 13.23.34.png
>
>
> Spark currently can't read CSV files that contain lines with comments or annotations above the header and data. Work-arounds include pre-processing CSVs, or using RDDs and something like {{zipWithIndex}}. But all of these increase friction for less technical users.
> This issue proposes a {{skipLines}} option for Spark's CSV parser to drop a number of unwanted lines at the top of a CSV file.



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