Kafka Consumer didn't receiving any messages from its Producer
<p>the following is my python coding for a kafka producer, I'm not sure is the messages able to be published to a Kafka Broker or not. Because the consumer side is didn't receiving any messages. My Consumer python program is working fine while i testing it using producer console command.</p>

<pre><code>from __future__ import print_function

import sys
from pyspark import SparkContext
from kafka import KafkaClient, SimpleProducer

if __name__ == "__main__":

if len(sys.argv) != 2:
    print("Usage:spark-submit producer1.py &lt;input file&gt;", file=sys.stderr)
    exit(-1)

sc = SparkContext(appName="PythonRegression")

def sendkafka(messages):
    ## Set broker port
    kafka = KafkaClient("localhost:9092")
    producer = SimpleProducer(kafka, async=True, batch_send_every_n=5,  
batch_send_every_t=10)
    send_counts = 0
    for message in messages:
        try:
            print(message)
            ## Set topic name and push messages to the Kafka Broker
            yield producer.send_messages('test', message.encode('utf-8'))
        except Exception, e:
            print("Error: %s" % str(e))
        else:
            send_counts += 1
    print("The count of prediction results which were sent IN THIS PARTITION 
is %d.\n" % send_counts)

## Connect and read the file.    
rawData = sc.textFile(sys.argv[1])

## Find and skip the first row
dataHeader = rawData.first()
data =  rawData.filter(lambda x: x != dataHeader)

## Collect the RDDs.
sentRDD = data.mapPartitions(sendkafka) 
sentRDD.collect()

## Stop file connection
sc.stop()
</code></pre>

<p>This is my "Consumer" python coding</p>

<pre><code>from __future__ import print_function
import sys
from pyspark import SparkContext
from pyspark.streaming import StreamingContext
from pyspark.streaming.kafka import KafkaUtils

if len(sys.argv) &lt; 3:
print ("Program to pulls the messages from kafka brokers.")
print("Usage: consume.py &lt;zk&gt; &lt;topic&gt;", file=sys.stderr)

else:
## Flow
## Loads settings from system properties, for launching of spark-submit.
sc = SparkContext(appName="PythonStreamingKafkaWordCount")

## Create a StreamingContext using an existing SparkContext.
ssc = StreamingContext(sc, 10)

## Get everything after the python script name
zkQuorum, topic = sys.argv[1:]

## Create an input stream that pulls messages from Kafka Brokers.
kvs = KafkaUtils.createStream(ssc, zkQuorum, "spark-streaming-consumer", 
{topic: 1})

## 
lines = kvs.map(lambda x: x[1])

## Print the messages pulled from Kakfa Brokers
lines.pprint()

## Save the pulled messages as file
## lines.saveAsTextFiles("OutputA")

## Start receiving data and processing it
ssc.start()

## Allows the current process to wait for the termination of the context 
ssc.awaitTermination()
</code></pre>

<p>Alright I think there's something wrong with my local Zookeeper or Kafka, because I test it on another server it work perfectly. However , thanks for those who reply me ;)</p>

python apache-spark apache-kafka spark-streaming python-kafka