class pyspark.Broadcast (
   sc = None, 
   value = None, 
   pickle_registry = None, 
   path = None
)

----------------------------------------broadcast.py--------------------------------------
from pyspark import SparkContext 
sc = SparkContext("local", "Broadcast app") 
words_new = sc.broadcast(["scala", "java", "hadoop", "spark", "akka"]) 
data = words_new.value 
print "Stored data -> %s" % (data) 
elem = words_new.value[2] 
print "Printing a particular element in RDD -> %s" % (elem)
----------------------------------------broadcast.py--------------------------------------

$SPARK_HOME/bin/spark-submit broadcast.py

Stored data -> [
   'scala',  
   'java', 
   'hadoop', 
   'spark', 
   'akka'
]
Printing a particular element in RDD -> hadoop

class pyspark.Accumulator(aid, value, accum_param)

----------------------------------------accumulator.py------------------------------------
from pyspark import SparkContext 
sc = SparkContext("local", "Accumulator app") 
num = sc.accumulator(10) 
def f(x): 
   global num 
   num+=x 
rdd = sc.parallelize([20,30,40,50]) 
rdd.foreach(f) 
final = num.value 
print "Accumulated value is -> %i" % (final)
----------------------------------------accumulator.py------------------------------------

$SPARK_HOME/bin/spark-submit accumulator.py

Accumulated value is -> 150