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https://issues.apache.org/jira/browse/SPARK-6495?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Chaozhong Yang closed SPARK-6495.
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Resolution: Not a Problem
> DataFrame#insertInto method should support insert rows with sub-columns
> -----------------------------------------------------------------------
>
> Key: SPARK-6495
> URL: https://issues.apache.org/jira/browse/SPARK-6495
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Reporter: Chaozhong Yang
>
> The original table's schema is like this:
> |-- a: string (nullable = true)
> |-- b: string (nullable = true)
> |-- c: string (nullable = true)
> |-- d: string (nullable = true)
> If we want to insert one row(can be transformed into DataFrame) with this
> schema:
> |-- a: string (nullable = true)
> |-- b: string (nullable = true)
> |-- c: string (nullable = true)
> Of course, that operation will fail. Actually, in many cases, people need to
> insert new rows with columns which is the subset of original table columns.
> If we can support and fix those issue, Spark SQL's insertion can be more
> valuable to users.
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