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https://issues.apache.org/jira/browse/SPARK-37198?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17438789#comment-17438789
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Chuck Connell edited comment on SPARK-37198 at 11/4/21, 3:42 PM:
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There are many hints/techtips on the Internet which say that
{{[file://local_path|file://local_path/] }} already works to read and write
local files from a Spark cluster. But in my testing (from Databricks) this is
not true. I have never gotten it to work.
If there is already a way to read/write local files, please say the exact,
tested method to do so.
was (Author: chconnell):
There are many hints/techtips on the Internet which say that
{{file://local_path }}already works to read and write local files from a Spark
cluster. But in my testing (from Databricks) this is not true. I have never
gotten it to work.
If there is already a way to read/write local files, please say the exact,
tested method to do so.
> 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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