[jira] [Resolved] (SPARK-9488) pyspark.sql.types.Row very slow when using named arguments

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-9488?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-9488.
---------------------------------
    Resolution: Incomplete

> 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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