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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-23299) __repr__ broken for Rows instantiated with *args
Date Sun, 04 Feb 2018 11:35:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-23299?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-23299:
------------------------------------

    Assignee: Apache Spark

> __repr__ broken for Rows instantiated with *args
> ------------------------------------------------
>
>                 Key: SPARK-23299
>                 URL: https://issues.apache.org/jira/browse/SPARK-23299
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 1.5.0, 2.2.0
>         Environment: Tested on OS X with Spark 1.5.0 as well as pip-installed `pyspark`
2.2.0. Code in question appears to still be in error on the master branch of the GitHub repository.
>            Reporter: Oli Hall
>            Assignee: Apache Spark
>            Priority: Minor
>
> PySpark Rows throw an exception if instantiated without column names when `__repr__`
is called. The most minimal reproducible example I've found is this:
> {code:java}
> > from pyspark.sql.types import Row
> > Row(123)
> <stack-trace snipped for brevity>
> <v-env location>/lib/python2.7/site-packages/pyspark/sql/types.pyc in __repr__(self)
> -> 1524             return "<Row(%s)>" % ", ".join(self)
> TypeError: sequence item 0: expected string, int found{code}
> This appears to be due to the implementation of `__repr__`, which works excellently for
Rows created with column names, but for those without, assumes all values are strings ([link
here|https://github.com/apache/spark/blob/master/python/pyspark/sql/types.py#L1584]).
> This should be an easy fix, if the values are mapped to `str` first, all should be well
(last line is the only modification):
> {code:java}
> def __repr__(self):
>     """Printable representation of Row used in Python REPL."""
>     if hasattr(self, "__fields__"):
>         return "Row(%s)" % ", ".join("%s=%r" % (k, v)
>                                      for k, v in zip(self.__fields__, tuple(self)))
>     else:
>         "<Row(%s)>" % ", ".join(map(str, self))
> {code}
> This will yield the following:
> {code:java}
> > from pyspark.sql.types import Row
> > Row('aaa', 123)
> <Row(aaaa, 123)>
> {code}
>   



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