Flink’s DataStream abstraction is a powerful API which lets you flexibly define both basic and complex streaming pipelines. However, many users need an API which quickly solves 80% of their use cases where simple tasks can be defined using little code. Therefore the community has made effort to add relational APIs to Apache Flink, a standard SQL API and a language-integrated Table API. A large amount of contributors push the development quickly. In this talk, we show the current status of the APIs in a live demo. Among others, we demonstrate the support of retractions in Dynamic Tables and different kinds of aggregations such as SQL OVER windows, GROUP BY windows, and non-windowed aggregates.

1. Timo Walther
@twalthr
From Streams to Tables and Back
Again
A Demo of Flink‘s Table & SQL API

2. Powered by:
https://issues.apache.org/jira/browse/FLINK-7594
Demo with a SQL CLI Client Prototype
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Thank you!
@twalthr
@dataArtisans

4. We are hiring!
data-artisans.com/careers
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