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scala-kafka-twitter's Introduction

Example project to integrate Kafka, Avro and Spark Streaming with Twitter as a stream source

This is WIP.

Current infrastructure:

  • Tweets are serialized to Avro (without code generation) and sent to Kafka
  • A Kafka consumer picks up serialized Tweets and prints them to stdout

How to run

  1. Get Twitter credentials and fill them in reference.conf.

  2. Start Kafka (instructions) in single-node mode on localhost

  3. Start Kafka producer

./gradlew produce 

This will start to read recent tweets, encode them to Avro and send to the Kafka cluster in binary format (Array[Byte]).

  1. Start Kafka consumer
 ./gradlew consume

This will run Spark streaming connected to the Kafka cluster. In 5-second intervals the program reads Avro tweets from Kafka, deserializes the tweet texts to strings and print 10 most frequent words

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