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https://issues.apache.org/jira/browse/SPARK-37198?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17440920#comment-17440920
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Hyukjin Kwon commented on SPARK-37198:
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I think this is Databricks' specific issue. Let's loop with Databricks on this.
> 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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