I have a *kafka* stream coming in with some input topic. This is the code i wrote for accepting *kafka* stream.
*>>> conf = SparkConf().setAppName(appname) >>> sc = SparkContext(conf=conf) >>> ssc = StreamingContext(sc) >>> kvs = KafkaUtils.createDirectStream(ssc, topics,\ {"metadata.broker.list": brokers})* Then I create two DStreams of the keys and values of the original stream. *>>> keys = kvs.map(lambda x: x[0].split(" ")) >>> values = kvs.map(lambda x: x[1].split(" "))* Then I perform some computation in the values DStream. For Example, *>>> val = values.flatMap(lambda x: x*2)* Now, I need to combine the */keys/* and the */val/* *DStream* and return the result in the form of *Kafka* stream. How to combine val to the corressponding key? -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/How-to-combine-two-DStreams-pyspark-tp27552.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org