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

Working With Images In Spark 2.4

Tomas Nykodym and Weichen Xu give us an update on working with images in the most recent version of Apache Spark: An image data source addresses many of these problems by providing the standard representation you can code against and abstracts from the details of a particular image representation.Apache Spark 2.3 provided the ImageSchema.readImages API (see Microsoft’s post […]

Read More

Comparing Streaming Engines

George Vetticaden compares Spark Streaming, Storm, and Kafka Streams: Before the addition of Kafka Streams support, HDP and HDF supported two stream processing engines:  Spark Structured Streaming and Streaming Analytics Manager (SAM) with Storm. So naturally, this begets the following question:Why add a third stream processing engine to the platform?With the choice of using Spark […]

Read More

Categories

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