A SQL Client For Apache Flink

Alex Woodie points out that Apache Flink now has a SQL client built in:

Apache Flink has contained SQL functionality since Flink version 1.1, which introduced a SQL API based on Apache Calcite and a table API, too. While the combined SQL and Table API today provides valuable ways for developers to apply well-understood relational data and SQL constructs to the world of stream data processing, its usefulness is somewhat limited.

For starters, only Scala and Java experts can avail themselves of API, according to the description of the new SQL client, which is codenamed FLIP-24. What’s more, any table program that was written with the SQL and Table API had to be packaged with Apache Maven, a Java-based project management tool, and submitted to the Flink cluster before running.

With the launch of the SQL CLI Client in Flink version 1.5, the Flink community is taking its support for SQL in a new direction. According to the FLIP-24 project page, providing an interactive shell will not only make Flink accessible to non-programmers, including data scientists, but it will also eliminate the need for a full IDE to program Flink apps. With millions of SQL-loving data analysts out there, the benefits could certainly be vast.

Good stuff.  Feasel’s Law in action.

Related Posts

Metacat: Federated Metadata Discovery

Ajoy Majumdar and Zhen Li walk us through Metacat: The core architecture of the big data platform at Netflix involves three key services. These are the execution service (Genie), the metadata service, and the event service. These ideas are not unique to Netflix, but rather a reflection of the architecture that we felt would be […]

Read More

Understanding A Spark Streaming Workflow

Himanshu Gupta continues a series on structured streaming using Spark Streaming: Here we can clearly see that if new data is pushed to the source, Spark will run the “incremental” query that combines the previous running counts with the new data to compute updated counts. The “Input Table” here is the lines DataFrame which acts as a […]

Read More

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Categories

May 2018
MTWTFSS
« Apr Jun »
 123456
78910111213
14151617181920
21222324252627
28293031