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Posted to issues@spark.apache.org by "Chuck Connell (Jira)" <ji...@apache.org> on 2021/11/02 18:07:00 UTC
[jira] [Created] (SPARK-37198) pyspark.pandas read_csv() and
to_csv() should handle local files
Chuck Connell created SPARK-37198:
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Summary: 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: Improvement
Components: PySpark
Affects Versions: 3.2.0
Reporter: Chuck Connell
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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