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https://issues.apache.org/jira/browse/SPARK-19247?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15824231#comment-15824231
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Apache Spark commented on SPARK-19247:
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User 'Krimit' has created a pull request for this issue:
https://github.com/apache/spark/pull/16607
> improve ml word2vec save/load
> -----------------------------
>
> Key: SPARK-19247
> URL: https://issues.apache.org/jira/browse/SPARK-19247
> Project: Spark
> Issue Type: Bug
> Reporter: Asher Krim
>
> ml word2vec models can be somewhat large (~4gb is not uncommon). The current
> save implementation saves the model as a single large datum, which can cause
> rpc issues and fail to save the model.
> On the loading side, there are issues with loading this large datum as well.
> This was already solved for mllib word2vec in
> https://issues.apache.org/jira/browse/SPARK-11994, but the change was never
> ported to the ml word2vec implementation.
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