[jira] [Updated] (SPARK-19615) Provide Dataset union convenience for divergent schema
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https://issues.apache.org/jira/browse/SPARK-19615?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon updated SPARK-19615:
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Labels: bulk-closed (was: )
> Provide Dataset union convenience for divergent schema
> --
>
> Key: SPARK-19615
> URL: https://issues.apache.org/jira/browse/SPARK-19615
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 2.1.0
>Reporter: Nick Dimiduk
>Priority: Major
> Labels: bulk-closed
>
> Creating a union DataFrame over two sources that have different schema
> definitions is surprisingly complex. Provide a version of the union method
> that will create a infer a target schema as the result of merging the
> sources. Automatically add extend either side with {{null}} columns for any
> missing columns that are nullable.
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[jira] [Updated] (SPARK-19615) Provide Dataset union convenience for divergent schema
[
https://issues.apache.org/jira/browse/SPARK-19615?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Nick Dimiduk updated SPARK-19615:
-
Priority: Major (was: Minor)
> Provide Dataset union convenience for divergent schema
> --
>
> Key: SPARK-19615
> URL: https://issues.apache.org/jira/browse/SPARK-19615
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 2.1.0
>Reporter: Nick Dimiduk
>
> Creating a union DataFrame over two sources that have different schema
> definitions is surprisingly complex. Provide a version of the union method
> that will create a infer a target schema as the result of merging the
> sources. Automatically add extend either side with {{null}} columns for any
> missing columns that are nullable.
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