You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@flink.apache.org by "Kostas Kloudas (Jira)" <ji...@apache.org> on 2020/10/01 07:31:00 UTC
[jira] [Created] (FLINK-19485) Consider runtime-mode when creating
the StreamGraph
Kostas Kloudas created FLINK-19485:
--------------------------------------
Summary: Consider runtime-mode when creating the StreamGraph
Key: FLINK-19485
URL: https://issues.apache.org/jira/browse/FLINK-19485
Project: Flink
Issue Type: Sub-task
Components: API / DataStream
Affects Versions: 1.12.0
Reporter: Kostas Kloudas
Assignee: Kostas Kloudas
Although DataStream is going to be the unified API for Batch and Streaming applications, some operations, e.g. Sinks, may need to have different runtime implementations depending on if they are intended to run on bounded or unbounded data. This is not necessarily only for optimisations but also for the exposed semantics, i.e. correctness.
So far, DataStream had a 1-to-1 mapping between an API call and an operator. In a sense, the DataStream API was an "explicit" API. With this addition, we will decouple the API calls from the actual runtime implementations and thus allow different operations to have more than one runtime implementations, depending (for now) on the {{execution.runtime-mode}}.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)