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pythonfor-loopapache-sparkpysparkrdd

pyspark program for nested loop

I am new to PySpark and I am trying to understand how can we write multiple nested for loop in PySpark, rough high level example below. Any help will be appreciated.

for ( i=0;i<10;i++)
   for ( j=0;j<10;j++)
       for ( k=0;k<10;k++)
          { 
           print "i"."j"."k"
}
Solution

  • In non distributed setting for-loops are rewritten using foreachcombinator, but due to Spark nature map and flatMap are a better choice:

    from __future__ import print_function
a_loop = lambda x: ((x, y) for y in xrange(10))
print_me = lambda ((x, y), z): print("{0}.{1}.{2}".format(x, y, z)))

(sc.
    parallelize(xrange(10)).
    flatMap(a_loop).
    flatMap(a_loop).
    foreach(print_me)

    Of using itertools.product:

    from itertools import product
sc.parallelize(product(xrange(10), repeat=3)).foreach(print)