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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2021/07/19 10:59:00 UTC
[jira] [Resolved] (SPARK-35806) Mapping the `mode` argument to
pandas in DataFrame.to_csv
[ https://issues.apache.org/jira/browse/SPARK-35806?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-35806.
----------------------------------
Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 33414
[https://github.com/apache/spark/pull/33414]
> Mapping the `mode` argument to pandas in DataFrame.to_csv
> ---------------------------------------------------------
>
> Key: SPARK-35806
> URL: https://issues.apache.org/jira/browse/SPARK-35806
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark
> Affects Versions: 3.2.0
> Reporter: Haejoon Lee
> Assignee: Haejoon Lee
> Priority: Major
> Fix For: 3.2.0
>
>
> pandas and pandas-on-Spark both have an argument named `mode` in the [DataFrame.to_csv, |https://koalas.readthedocs.io/en/latest/reference/api/databricks.koalas.DataFrame.to_csv.html]but the acceptable strings are different.
> pandas can accept the "w", "w+", "a", "a+" where as pandas-on-Spark can accept "append", "overwrite", "ignore", "error" or "errorifexists".
> We should map these acceptable strings to pandas.
> e.g. "w" will work as Spark's "overwrite". In addition, mode can take Spark's "overwrite" too.
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