[ https://issues.apache.org/jira/browse/SPARK-10731?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Reynold Xin resolved SPARK-10731. --------------------------------- Resolution: Fixed Assignee: Reynold Xin Fix Version/s: 1.5.1 1.6.0 > 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: Reynold Xin > Labels: pyspark > Fix For: 1.6.0, 1.5.1 > > > {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. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org