[jira] [Updated] (SPARK-25513) Read zipped CSV and JSON files

["Dongjoon Hyun (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-25513?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dongjoon Hyun updated SPARK-25513:
----------------------------------
    Affects Version/s:     (was: 3.0.0)
                       3.1.0

> Read zipped CSV and JSON files
> ------------------------------
>
>                 Key: SPARK-25513
>                 URL: https://issues.apache.org/jira/browse/SPARK-25513
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 3.1.0
>            Reporter: Maxim Gekk
>            Priority: Minor
>
> Spark can read compression files if there is compression codec for them. By default, Hadoop provides compressors/decompressors for bzip2, deflate, gzip, lz4 and snappy but they cannot be used directly for reading zip archives. 
> In general zip archives can contain multiple entries but in practice users use zip archives to store only one file. This use case is pretty often in wild. 
> The ticket aims to support reading of zipped CSV and JSON files in multi-line mode when each zip archive contains only one file.
> For example, current approach of reading zipped CSV files looks complicated : https://docs.azuredatabricks.net/spark/latest/data-sources/zip-files.html#zip-files 



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