GitHub user ashashwat opened a pull request:
https://github.com/apache/spark/pull/20503
[SPARK-23299][SQL][PYSPARK] Fix __repr__ behaviour for Rows.
## What changes were proposed in this pull request?
Fix \_\_repr\_\_ behaviour for Rows.
Rows \_\_repr\_\_ assumes data is a string when column name is missing.
Examples,
```
>>> from pyspark.sql.types import Row
>>> Row ("Alice", "11")
<Row(Alice, 11)>
>>> Row (name="Alice", age=11)
Row(age=11, name='Alice')
>>> Row ("Alice", 11)
<snip stack trace>
TypeError: sequence item 1: expected string, int found
```
This is because Row () when called without column names assumes
everything is a string.
## How was this patch tested?
Manually tested and unittest was added in `python/pyspark/sql/tests.py`.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/ashashwat/spark SPARK-23299
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/20503.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #20503
----
commit 6604e9fdaa710cd894b4799390144e404667402e
Author: Shashwat Anand <me@...>
Date: 2018-02-04T10:27:31Z
Fix __repr__ behaviour for Rows.
Rows __repr__ assumes data is strings when column name is missing.
Examples,
>>> Row ("Alice", "11")
<Row(Alice, 11)>
>>> Row (name="Alice", age=11)
Row(age=11, name='Alice')
>>> Row ("Alice", 11)
<snip stack trace>
TypeError: sequence item 1: expected string, int found
This is because Row () when called without column names assumes
everything is string.
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