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Posted to issues@spark.apache.org by "Jerry Lam (JIRA)" <ji...@apache.org> on 2015/09/21 19:42:04 UTC

[jira] [Created] (SPARK-10731) The head() implementation of dataframe is very slow

Jerry Lam created SPARK-10731:
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             Summary: 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: 1.5.0
            Reporter: Jerry Lam


df=sqlContext.read.parquet("someparquetfiles")
df.head()

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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