September 2017
Beginner to intermediate
360 pages
8h 13m
English
book
Practical Real-time Data Processing and Analytics
by Shilpi Saxena, Selva raj Ramasamy, Prateek Bhati, Saurabh Gupta
Content preview from Practical Real-time Data Processing and Analytics
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Integration with Cassandra
We have discussed and explained the setup of Cassandra in previous chapters so we will directly go to the program required to make a connection between Flink and Cassandra:
- Add dependencies in pom.xml:
<dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-connector-cassandra_2.11</artifactId> <version>1.2.0</version></dependency><dependency> <groupId>com.codahale.metrics</groupId> <artifactId>metrics-json</artifactId> <version>3.0.2</version></dependency>
- Create the data stream:
DataStream<Tuple4<Long,Integer,Integer,Long>> messageStream = env.addSource(flinkKafkaConsumer08).map(new MapFunction<String, Tuple4<Long,Integer,Integer,Long>>() { private static final long serialVersionUID = 4723214570372887208L; ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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