Re: Streaming Backpressure with Multiple Streams

2016-09-14 Thread Jeff Nadler
So as you were maybe thinking, it only happens with the combination: Direct Stream only + backpressure = works as expected 4x Receiver on Topic A + Direct Stream on Topic B + backpressure = the direct stream is throttled even in the absence of scheduling delay This is using Spark 1.5.0 on CDH.

Re: Streaming Backpressure with Multiple Streams

2016-09-09 Thread Jeff Nadler
Yes I'll test that next. On Sep 9, 2016 5:36 PM, "Cody Koeninger" wrote: > Does the same thing happen if you're only using direct stream plus back > pressure, not the receiver stream? > > On Sep 9, 2016 6:41 PM, "Jeff Nadler" wrote: > >> Maybe this is a pretty esoteric implementation, but I'm s

Re: Streaming Backpressure with Multiple Streams

2016-09-09 Thread Cody Koeninger
Does the same thing happen if you're only using direct stream plus back pressure, not the receiver stream? On Sep 9, 2016 6:41 PM, "Jeff Nadler" wrote: > Maybe this is a pretty esoteric implementation, but I'm seeing some bad > behavior with backpressure plus multiple Kafka streams / direct stre

Streaming Backpressure with Multiple Streams

2016-09-09 Thread Jeff Nadler
Maybe this is a pretty esoteric implementation, but I'm seeing some bad behavior with backpressure plus multiple Kafka streams / direct streams. Here's the scenario: We have 1 Kafka topic using the reliable receiver (4 receivers, union the result).In the same app, we consume another Kafka topi