[SPARK-2388] Streaming from multiple different Kafka topics is problematic

• Type: Improvement
• Status: Closed
• Priority: Major
• Resolution: Invalid
• Affects Version/s: 1.0.0
• Fix Version/s: 1.0.1
• Component/s: DStreams
• Target Version/s: 1.0.1
• Assignee: Unassigned
• Reporter: Sergey
• Created: 07/Jul/14 14:43
• Updated: 09/Dec/15 16:03
• Resolved: 25/Dec/14 00:26

Description

Default way of creating stream out of Kafka source would be as

val stream = KafkaUtils.createStream(ssc,"localhost:2181","logs", Map("retarget" -> 2,"datapair" -> 2))

However, if two topics - in this case "retarget" and "datapair" - are very different, there is no way to set up different filter, mapping functions, etc), as they are effectively merged.

However, instance of KafkaInputDStream, created with this call internally calls ConsumerConnector.createMessageStream() which returns map of KafkaStreams, keyed by topic. It would be great if this map would be exposed somehow, so aforementioned call

val streamS = KafkaUtils.createStreamS(...)

returned map of streams.

Regards,
Sergey Malov
Collective Media

Issue Links

• is cloned by: SPARK-12103 Clarify documentation of KafkaUtils createStream with multiple topics
• is part of: SPARK-3146 Improve the flexibility of Spark Streaming Kafka API to offer user the ability to process message before storing into BM