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https://issues.apache.org/jira/browse/SPARK-19716?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan updated SPARK-19716:
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Description:
if we have a DataFrame with schema {{a: int, b: int, c: int}}, and convert it
to Dataset with {{case class Data(a: Int, c: Int)}}, it works and we will
extract the `a` and `c` columns to build the Data.
However, if the struct is inside array, e.g. schema is {{arr: array<struct<a:
int, b: int, c: int>>}}, and we wanna convert it to Dataset with {{case class
ComplexData(arr: Seq[Data])}}, we will fail. we should support this case.
was:
if we have a DataFrame with schema {{<a: int, b: int, c: int>}}, and convert it
to Dataset with {{case class Data(a: Int, c: Int)}}, it works and we will
extract the `a` and `c` columns to build the Data.
However, if the struct is inside array, e.g. schema is {{<arr: array<struct<a:
int, b: int, c: int>>>}}, and we wanna convert it to Dataset with {{case class
ComplexData(arr: Seq[Data])}}, we will fail. we should support this case.
> Dataset should allow by-name resolution for struct type elements in array
> -------------------------------------------------------------------------
>
> Key: SPARK-19716
> URL: https://issues.apache.org/jira/browse/SPARK-19716
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Affects Versions: 2.2.0
> Reporter: Wenchen Fan
>
> if we have a DataFrame with schema {{a: int, b: int, c: int}}, and convert it
> to Dataset with {{case class Data(a: Int, c: Int)}}, it works and we will
> extract the `a` and `c` columns to build the Data.
> However, if the struct is inside array, e.g. schema is {{arr: array<struct<a:
> int, b: int, c: int>>}}, and we wanna convert it to Dataset with {{case class
> ComplexData(arr: Seq[Data])}}, we will fail. we should support this case.
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