[jira] [Assigned] (SPARK-23299) __repr__ broken for Rows instantiated with *args
[
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)
>
> /lib/python2.7/site-packages/pyspark/sql/types.pyc in
> __repr__(self)
> -> 1524 return "" % ", ".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:
> "" % ", ".join(map(str, self))
> {code}
> This will yield the following:
> {code:java}
> > from pyspark.sql.types import Row
> > Row('aaa', 123)
>
> {code}
>
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[jira] [Assigned] (SPARK-23299) __repr__ broken for Rows instantiated with *args
[
https://issues.apache.org/jira/browse/SPARK-23299?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-23299:
Assignee: (was: 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
>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)
>
> /lib/python2.7/site-packages/pyspark/sql/types.pyc in
> __repr__(self)
> -> 1524 return "" % ", ".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:
> "" % ", ".join(map(str, self))
> {code}
> This will yield the following:
> {code:java}
> > from pyspark.sql.types import Row
> > Row('aaa', 123)
>
> {code}
>
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