Re: Mapping with extra arguments

2014-08-21 Thread zzl 

def foo(extra_arg):
….
def bar(row):
# your code here
return bar

then pass foo(extra_arg) to spark map function.


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Best Regards!


On Thursday, August 21, 2014 at 2:33 PM, TJ Klein wrote:

 Hi,
  
 I am using Spark in Python. I wonder if there is a possibility for passing
 extra arguments to the mapping function. In my scenario, after each map I
 update parameters, which I want to use in the folllowning new iteration of
 mapping. Any idea?
  
 Thanks in advance.
  
 -Tassilo
  
  
  
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Re: Mapping with extra arguments

2014-08-21 Thread Mayur Rustagi 
You can add that as part of your RDD, so as output of your map operation
generate the input of your next map operation.. ofcourse the obscure logic
of generating that data has to be map ..
another way is nested def

def factorial(number: Int) : Int = {
def factorialWithAccumulator(accumulator: Int, number: Int) : Int = {
if (number == 1)
return accumulator
else
factorialWithAccumulator(accumulator * number, number - 1)
}
factorialWithAccumulator(1, number)
 }
 MyRDD.map(factorial(5))



Mayur Rustagi
Ph: +1 (760) 203 3257
http://www.sigmoidanalytics.com
@mayur_rustagi https://twitter.com/mayur_rustagi



On Thu, Aug 21, 2014 at 12:03 PM, TJ Klein tjkl...@gmail.com wrote:

 Hi,

 I am using Spark in Python. I wonder if there is a possibility for passing
 extra arguments to the mapping function. In my scenario, after each map I
 update parameters, which I want to use in the folllowning new iteration of
 mapping. Any idea?

 Thanks in advance.

 -Tassilo



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 http://apache-spark-user-list.1001560.n3.nabble.com/Mapping-with-extra-arguments-tp12541.html
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Re: Mapping with extra arguments

2014-08-21 Thread TJ Klein 
Thanks for the nice example.



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