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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2021/11/09 06:18:00 UTC
[jira] [Resolved] (SPARK-37198) pyspark.pandas read_csv() and
to_csv() should handle local files
[ https://issues.apache.org/jira/browse/SPARK-37198?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-37198.
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Resolution: Invalid
> pyspark.pandas read_csv() and to_csv() should handle local files
> -----------------------------------------------------------------
>
> Key: SPARK-37198
> URL: https://issues.apache.org/jira/browse/SPARK-37198
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark
> Affects Versions: 3.2.0
> Reporter: Chuck Connell
> Priority: Major
>
> Pandas programmers who move their code to Spark would like to import and export text files to and from their local disk. I know there are technical hurdles to this (since Spark is usually in a cluster that does not know where your local computer is) but it would really help code migration.
> For read_csv() and to_csv(), the syntax {{*file://c:/Temp/my_file.csv* }}(or something like this) should import and export to the local disk on Windows. Similarly for Mac and Linux.
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