July 2017
Intermediate to advanced
796 pages
18h 55m
English
Content preview from Scala and Spark for Big Data Analytics
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Direct stream
The direct stream based approach is the newer approach with respect to Kafka integration and works by using the driver to connect to the brokers directly and pull events. The key aspect is that using direct stream API, Spark tasks work on a 1:1 ratio when looking at spark partition to Kafka topic/partition. No dependency on HDFS or WAL makes it flexible. Also, since now we can have direct access to offsets, we can use idempotent or transactional approach for exactly once processing.
Create an input stream that directly pulls messages from Kafka brokers without using any receiver. This stream can guarantee that each message from Kafka is included in transformations exactly once.
Properties of a direct stream are as follows:
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