Re: question on collect_list or say aggregations in general in structured streaming 2.3.0

1) I get an error when I set watermark to 0. 2) I set window and slide interval to 1 second with no watermark. It sill aggregates messages from the previous batch that are in 1 second window. so is it fair to say there is no declarative way to do stateless aggregations? On Thu, May 3, 2018 at

Re: question on collect_list or say aggregations in general in structured streaming 2.3.0

I think you need to group by a window (tumbling) and define watermarks (put a very low watermark or even 0) to discard the state. Here the window duration becomes your logical batch. - Arun From: kant kodali Date: Thursday, May 3, 2018 at 1:52 AM To: "user @spark"

Re: question on collect_list or say aggregations in general in structured streaming 2.3.0

After doing some more research using Google. It's clear that aggregations by default are stateful in Structured Streaming. so the question now is how to do stateless aggregations(not storing the result from previous batches) using Structured Streaming 2.3.0? I am trying to do it using raw spark

question on collect_list or say aggregations in general in structured streaming 2.3.0

Hi All, I was under an assumption that one needs to run grouby(window(...)) to run any stateful operations but looks like that is not the case since any aggregation like query "select count(*) from some_view" is also stateful since it stores the result of the count from the previous batch.