Spark & Kafka Integration - Spark Streaming (Spark 1.6.3)

kafkaPySpark.py

# Running locations:
# Exeucing Command: bin\spark-submit --packages org.apache.spark:spark-streaming-kafka_2.10:1.6.3 <location_of_code>/kafkaPySpark.py localhost:2181 <topic_name>
# Location to Execute: <location_of_spark_bin>

from __future__ import print_function

import os
import sys
from pyspark import SparkContext
from pyspark.streaming import StreamingContext
from pyspark.streaming.kafka import KafkaUtils

os.environ['PYSPARK_SUBMIT_ARGS'] = '--packages org.apache.spark:spark-streaming-kafka_2.10:1.6.3 pyspark-shell'

if __name__ == "__main__":
    if len(sys.argv) != 3:
        print("Usage: kafka_wordcount.py <zk> <topic>", file=sys.stderr)
        exit(-1)
    sc = SparkContext(appName="PythonStreamingKafkaWordCount")
    ssc = StreamingContext(sc, 1)
    zkQuorum, topic = sys.argv[1:]
    kvs = KafkaUtils.createStream(ssc, zkQuorum, "spark-streaming-consumer", {topic: 1})
    lines = kvs.map(lambda x: x[1])
    counts = lines.flatMap(lambda line: line.split(" ")) \
        .map(lambda word: (word, 1)) \
        .reduceByKey(lambda a, b: a + b)
    counts.pprint()

    ssc.start()
    ssc.awaitTermination()