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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-25513) Read zipped CSV and JSON files
Date Sat, 22 Sep 2018 20:20:00 GMT

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

Apache Spark reassigned SPARK-25513:
------------------------------------

    Assignee: Apache Spark

> 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: 2.4.0
>            Reporter: Maxim Gekk
>            Assignee: Apache Spark
>            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.



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