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Junior — Middle

Do you have experience working with Kafka Streams for stream data processing?

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Answer from AI

Yes, I have worked with Kafka Streams for stream data processing. Kafka Streams is a library for building applications and microservices that process data in real-time using Kafka topics.

Example of simple Kafka Streams usage in Java:

Properties props = new Properties();
props.put(StreamsConfig.APPLICATION_ID_CONFIG, "my-stream-app");
props.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");

StreamsBuilder builder = new StreamsBuilder();
KStream<String, String> source = builder.stream("input-topic");

KStream<String, String> uppercased = source.mapValues(value -> value.toUpperCase());
uppercased.to("output-topic");

KafkaStreams streams = new KafkaStreams(builder.build(), props);
streams.start();

In this example, data from the "input-topic" is transformed to uppercase and written to "output-topic". Kafka Streams makes it easy to create such processing pipelines with support for scalability and fault tolerance.