[
https://issues.apache.org/jira/browse/IGNITE-9357?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16981344#comment-16981344
]
Alexey Zinoviev commented on IGNITE-9357:
-----------------------------------------
[~stefan.miklosovic] yes, you are right about the current state of integration
for streaming cases.
We have two ways here: ask somebody from community to implement this via
feature request (you could implement this too by yourself) or use, for example,
Kafka Streams or Kafka SQL to transform raw data from Kafka
>From my side, I didn't hear about plans to implement Ignite on DStreams.
> Spark Structured Streaming with Ignite as data source and sink
> --------------------------------------------------------------
>
> Key: IGNITE-9357
> URL: https://issues.apache.org/jira/browse/IGNITE-9357
> Project: Ignite
> Issue Type: New Feature
> Components: spark
> Affects Versions: 3.0
> Reporter: Alexey Kukushkin
> Assignee: Alexey Zinoviev
> Priority: Major
> Time Spent: 10m
> Remaining Estimate: 0h
>
> We are working on a PoC where we want to use Ignite as a data storage and
> Spark as a computation engine. We found that Ignite is supported neither as a
> source nor as a Sink when using Spark Structured Streaming, which is a must
> for us.
> We are enhancing Ignite to support Spark streaming with Ignite. We will send
> docs and code for review for the Ignite Community to consider if the
> community wants to accept this feature.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
