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https://issues.apache.org/jira/browse/SPARK-9488?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-9488:
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Labels: bulk-closed performance (was: performance)
> pyspark.sql.types.Row very slow when using named arguments
> ----------------------------------------------------------
>
> Key: SPARK-9488
> URL: https://issues.apache.org/jira/browse/SPARK-9488
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 1.4.0
> Environment:
> Reporter: Alexis Benoist
> Priority: Major
> Labels: bulk-closed, performance
> Attachments: Indexed Row Benchmark.png
>
>
> We can see that the implementation of the Row is accessing items in O(n).
> https://github.com/apache/spark/blob/master/python/pyspark/sql/types.py#L1217
> We could use an OrderedDict instead of a tuple to make the access time in
> O(1). Can the keys be of an unhashable type?
> I'm ok to do the edit.
> Cheers,
> Alexis.
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