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https://issues.apache.org/jira/browse/SPARK-10731?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-10731:
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Assignee: Apache Spark
> The head() implementation of dataframe is very slow
> ---------------------------------------------------
>
> Key: SPARK-10731
> URL: https://issues.apache.org/jira/browse/SPARK-10731
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 1.4.1, 1.5.0
> Reporter: Jerry Lam
> Assignee: Apache Spark
> Labels: pyspark
>
> {code}
> df=sqlContext.read.parquet("someparquetfiles")
> df.head()
> {code}
> The above lines take over 15 minutes. It seems the dataframe requires 3
> stages to return the first row. It reads all data (which is about 1 billion
> rows) and run Limit twice. The take(1) implementation in the RDD performs
> much better.
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