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https://issues.apache.org/jira/browse/SPARK-23060?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16325043#comment-16325043
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Gianmarco Donetti edited comment on SPARK-23060 at 1/13/18 8:42 AM:
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The reason of this need of mine, is the absence of a "pipe" function for the
RDDs.
Often, I have to handle use cases where I have one RDD, a series of functions
that have to be applied on that RDD in sequence, and in particular all those
functions have in input an RDD and output another RDD. Then, I would like to
avoid this:
{code:none}
final_rdd = func_3( func_2( func_1( initial_rdd)
{code}
and I'd like to be able to this:
{code:none}
final_rdd = initial_rdd.apply(func_1).apply(func_2).apply(func_3)
{code}
was (Author: gianmarco.donetti):
The reason of this need of mine, is the absence of a "pipe" function for the
RDDs.
Often, I have to handle use cases where I have one RDD, a series of functions
that have to be applied on that RDD in sequence, and in particular all those
functions have in input an RDD and output another RDD. Then, I would like to
avoid this:
{code:java}
final_rdd = func_3( func_2( func_1( initial_rdd)
{code}
and I'd like to be able to this:
{code:none}
final_rdd = initial_rdd.apply(func_1).apply(func_2).apply(func_3)
{code}
> RDD's apply function
> --------------------
>
> Key: SPARK-23060
> URL: https://issues.apache.org/jira/browse/SPARK-23060
> Project: Spark
> Issue Type: New Feature
> Components: PySpark
> Affects Versions: 2.2.1
> Reporter: Gianmarco Donetti
> Priority: Minor
> Labels: features, newbie
> Original Estimate: 1h
> Remaining Estimate: 1h
>
> New function for RDDs -> apply
> >>> def foo(rdd):
> ... return rdd.map(lambda x: x.split('|')).filter(lambda x: x[0]
> == 'ERROR')
> >>> rdd = sc.parallelize(['ERROR|10', 'ERROR|12', 'WARNING|10',
> 'INFO|2'])
> >>> result = rdd.apply(foo)
> >>> result.collect()
> [('ERROR', '10'), ('ERROR', '12')]
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