example_base_py.py

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#    http://www.apache.org/licenses/LICENSE-2.0
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"""
 Counts words in UTF8 encoded, '\n' delimited text received from the network every second.
 Usage: network_wordcount.py <hostname> <port>
   <hostname> and <port> describe the TCP server that Spark Streaming would connect to receive data.

 To run this on your local machine, you need to first run a Netcat server
    `$ nc -lk 9999`
 and then run the example
    `$ bin/spark-submit examples/src/main/python/streaming/network_wordcount.py localhost 9999`
"""
from __future__ import print_function

import sys

from pyspark import SparkContext
from pyspark.streaming import StreamingContext

def transform(x):
    x1 = x.split(" ")
    test = ["a" + b for b in x1]
    return test


if __name__ == "__main__":
    if len(sys.argv) != 3:
        print("Usage: network_wordcount.py <hostname> <port>", file=sys.stderr)
        exit(-1)
    sc = SparkContext(appName="PythonStreamingNetworkWordCount")
    ssc = StreamingContext(sc, 5)

    lines = ssc.socketTextStream(sys.argv[1], int(sys.argv[2]))
    counts = lines.flatMap(lambda line: transform(line))
    counts.pprint()
    #counts = lines.flatMap(lambda line: line.split(" "))\
    #              .map(lambda word: (word, 1))\
    #              .reduceByKey(lambda a, b: a+b)
    #counts.pprint()

    ssc.start()
    ssc.awaitTermination()