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https://issues.apache.org/jira/browse/SPARK-11802?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-11802:
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Assignee: Apache Spark (was: Reynold Xin)
> Kryo-based encoder for opaque types
> -----------------------------------
>
> Key: SPARK-11802
> URL: https://issues.apache.org/jira/browse/SPARK-11802
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Reporter: Reynold Xin
> Assignee: Apache Spark
>
> Users of Spark SQL Datasets should be able to use objects that we don't
> understand (i.e. today not primitives or case classes) in Spark Datasets. To
> allow this, lets add a default encoder that uses kryo to store the class as
> bytes and presents it as a single field {{value}}.
> For now, lets require the user to explicitly pass the encoder, but as a bonus
> we can explore the option to use this as a fallback automatically.
> This encoder should be usable in:
> - as
> - map/flatMap, etc
> - Custom Aggregators
> - Scala/Java
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