Jan-Willem van der Sijp created SPARK-25072:
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Summary: PySpark custom Row class can be given extra parameters
Key: SPARK-25072
URL: https://issues.apache.org/jira/browse/SPARK-25072
Project: Spark
Issue Type: Bug
Components: PySpark
Affects Versions: 2.2.0
Environment: {noformat}
SPARK_MAJOR_VERSION is set to 2, using Spark2
Python 3.4.5 (default, Dec 11 2017, 16:57:19)
Type 'copyright', 'credits' or 'license' for more information
IPython 6.2.1 -- An enhanced Interactive Python. Type '?' for help.
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use
setLogLevel(newLevel).
18/08/01 04:49:16 WARN NativeCodeLoader: Unable to load native-hadoop library
for your platform... using builtin-java classes where applicable
18/08/01 04:49:17 WARN Utils: Service 'SparkUI' could not bind on port 4040.
Attempting port 4041.
18/08/01 04:49:27 WARN ObjectStore: Failed to get database global_temp,
returning NoSuchObjectException
Welcome to
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/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/__ / .__/\_,_/_/ /_/\_\ version 2.2.0
/_/
Using Python version 3.4.5 (default, Dec 11 2017 16:57:19)
SparkSession available as 'spark'.
{noformat}
{{CentOS release 6.9 (Final)}}
{{Linux sandbox-hdp.hortonworks.com 4.14.0-1.el7.elrepo.x86_64 #1 SMP Sun Nov
12 20:21:04 EST 2017 x86_64 x86_64 x86_64 GNU/Linux}}
{noformat}openjdk version "1.8.0_161"
OpenJDK Runtime Environment (build 1.8.0_161-b14)
OpenJDK 64-Bit Server VM (build 25.161-b14, mixed mode){noformat}
Reporter: Jan-Willem van der Sijp
When a custom Row class is made in PySpark, it is possible to provide the
constructor of this class with more parameters than there are columns. These
extra parameters affect the value of the Row, but are not part of the {{repr}}
or {{str}} output, making it hard to debug errors due to these "invisible"
values. The hidden values can be accessed through integer-based indexing though.
Some examples:
{code:python}
In [69]: RowClass = Row("column1", "column2")
In [70]: RowClass(1, 2) == RowClass(1, 2)
Out[70]: True
In [71]: RowClass(1, 2) == RowClass(1, 2, 3)
Out[71]: False
In [75]: RowClass(1, 2, 3)
Out[75]: Row(column1=1, column2=2)
In [76]: RowClass(1, 2)
Out[76]: Row(column1=1, column2=2)
In [77]: RowClass(1, 2, 3).asDict()
Out[77]: {'column1': 1, 'column2': 2}
In [78]: RowClass(1, 2, 3)[2]
Out[78]: 3
In [79]: repr(RowClass(1, 2, 3))
Out[79]: 'Row(column1=1, column2=2)'
In [80]: str(RowClass(1, 2, 3))
Out[80]: 'Row(column1=1, column2=2)'
{code}
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