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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