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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/09/23 08:46:04 UTC
[jira] [Assigned] (SPARK-10720) Add a java wrapper to create
dataframe from a local list of Java Beans.
[ https://issues.apache.org/jira/browse/SPARK-10720?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-10720:
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Assignee: Apache Spark
> Add a java wrapper to create dataframe from a local list of Java Beans.
> -----------------------------------------------------------------------
>
> Key: SPARK-10720
> URL: https://issues.apache.org/jira/browse/SPARK-10720
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Reporter: holdenk
> Assignee: Apache Spark
> Priority: Minor
>
> Similar to SPARK-10630 it would be nice if Java users didn't have to parallelize there data explicitly (as Scala users already can skip). Issue came up in http://stackoverflow.com/questions/32613413/apache-spark-machine-learning-cant-get-estimator-example-to-work?answertab=active#tab-top
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