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.
| spark-streaming-kafka-0-8 | spark-streaming-kafka-0-10 | |
|---|---|---|
| Broker Version | 0.8.2.1 or higher | 0.10.0 or higher |
| Api Stability | Stable | Experimental |
| 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 |