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Posted to issues@spark.apache.org by "Jungtaek Lim (JIRA)" <ji...@apache.org> on 2018/09/21 07:15:01 UTC
[jira] [Updated] (SPARK-25241) Configurable empty values when
reading/writing CSV files
[ https://issues.apache.org/jira/browse/SPARK-25241?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Jungtaek Lim updated SPARK-25241:
---------------------------------
Fix Version/s: (was: 3.0.0)
> Configurable empty values when reading/writing CSV files
> --------------------------------------------------------
>
> Key: SPARK-25241
> URL: https://issues.apache.org/jira/browse/SPARK-25241
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.3.1, 2.4.0
> Reporter: Mario Molina
> Assignee: Mario Molina
> Priority: Minor
> Fix For: 2.4.0
>
>
> There is an option in the CSV parser to set values when we have empty values in the CSV files or in our dataframes.
> Currently, this option cannot be configured and always sets a default value (empty string for reading and `""` for writing).
> I think it'd be interesting to enable this option in the CSV reader/writer to allow customizing these empty values.
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