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https://issues.apache.org/jira/browse/SPARK-12787?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15569928#comment-15569928
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Aleksander Eskilson edited comment on SPARK-12787 at 10/12/16 9:37 PM:
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[~Zariel], I've put together an implementation of an Avro encoder that I'm
currently submitting to the folks at spark-avro [1]. You can read the broader
story in a thread [2] on their project github. Additionally, the writing of
encoders for additional types of Java objects might be made easier after
resolving SPARK-17770.
[1] - https://github.com/databricks/spark-avro
[2] - https://github.com/databricks/spark-avro/issues/169
was (Author: aeskilson):
[~Zariel], I've put together an implementation of an Avro encoder that I'm
currently submitting to the folks at spark-avro [1]. You can read the broader
story here in a thread [2] on their project github. Additionally, the writing
of encoders for additional types of Java objects might be made easier after
resolving SPARK-17770.
[1] - https://github.com/databricks/spark-avro
[2] - https://github.com/databricks/spark-avro/issues/169
> Dataset to support custom encoder
> ---------------------------------
>
> Key: SPARK-12787
> URL: https://issues.apache.org/jira/browse/SPARK-12787
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Affects Versions: 1.6.0
> Reporter: Muthu Jayakumar
>
> The current Dataset API allows to be loaded using a case-class that requires
> the the attribute name and types to be match up precisely.
> It would be nicer, if a Partial function can be provided as a parameter to
> transform the Dataframe like schema into Dataset.
> Something like...
> test_dataframe.as[TestCaseClass](partial_function)
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