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https://issues.apache.org/jira/browse/SPARK-16075?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15340419#comment-15340419
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Xiangrui Meng commented on SPARK-16075:
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I'm not sure whether we should make this change in 2.0. It is not a trivial
change, though it brings some benefits.
> Make VectorUDT/MatrixUDT singleton under spark.ml package
> ---------------------------------------------------------
>
> Key: SPARK-16075
> URL: https://issues.apache.org/jira/browse/SPARK-16075
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 2.0.0
> Reporter: Xiangrui Meng
> Assignee: Xiangrui Meng
>
> Both VectorUDT and MatrixUDT are implemented as normal classes and their
> could be multiple instances of it, which makes the equality checking and
> pattern matching harder to implement. Even the APIs are private, switching to
> a singleton pattern could simplify the development.
> Required changes:
> * singleton VectorUDT/MatrixUDT (created by VectorUDT.getOrCreate)
> * update UDTRegistration
> * update code generation to support singleton UDTs
> * update existing code to use getOrCreate
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