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https://issues.apache.org/jira/browse/SPARK-14907?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-14907:
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Assignee: (was: Apache Spark)
> Use repartition in GLMRegressionModel.save
> ------------------------------------------
>
> Key: SPARK-14907
> URL: https://issues.apache.org/jira/browse/SPARK-14907
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Reporter: Dongjoon Hyun
> Priority: Trivial
>
> This issue changes `GLMRegressionModel.save` function like the following code
> that is similar to other algorithms' parquet write.
> {code}
> - val dataRDD: DataFrame = sc.parallelize(Seq(data), 1).toDF()
> - // TODO: repartition with 1 partition after SPARK-5532 gets fixed
> - dataRDD.write.parquet(Loader.dataPath(path))
> +
> sqlContext.createDataFrame(Seq(data)).repartition(1).write.parquet(Loader.dataPath(path))
> {code}
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