Spark Streaming + Kafka Integration Guide

Apache Kafka is publish-subscribe messaging rethought as a distributed, partitioned, replicated commit log service. Please read the Kafka documentation thoroughly before starting an integration using Spark.

The Kafka project introduced a new consumer API between versions 0.8 and 0.10, so there are 2 separate corresponding Spark Streaming packages available. Please choose the correct package for your brokers and desired features; note that the 0.8 integration is compatible with later 0.9 and 0.10 brokers, but the 0.10 integration is not compatible with earlier brokers.

Note: Kafka 0.8 support is deprecated as of Spark 2.3.0.

	spark-streaming-kafka-0-8	spark-streaming-kafka-0-10
Broker Version	0.8.2.1 or higher	0.10.0 or higher
API Maturity	Deprecated	Stable
Language Support	Scala, Java, Python	Scala, Java
Receiver DStream	Yes	No
Direct DStream	Yes	Yes
SSL / TLS Support	No	Yes
Offset Commit API	No	Yes
Dynamic Topic Subscription	No	Yes