Creating A Simple Kafka Streams Application

Bill Bejeck has built a simple Kafka Streams application for us:

This blog post will quickly get you off the ground and show you how Kafka Streams works. We’re going to make a toy application that takes incoming messages and upper-cases the text of those messages, effectively yelling at anyone who reads the message. This application is called the yelling application.

Before diving into the code, let’s take a look at the processing topology you’ll assemble for this “yelling” application. We’ll build a processing graph topology, where each node in the graph has a particular function.

His entire application is 20 lines of code but it does function as a valid Kafka Streams app and works well as a demo.

Related Posts

Databricks Runtime 5.2 Released

Nakul Jamadagni announces Databricks Runtime 5.2: Delta Time TravelTime Travel, released as an Experimental feature, adds the ability to query a snapshot of a table using a timestamp string or a version, using SQL syntax as well as DataFrameReader options for timestamp expressions.Sample codeSELECT count() FROM events TIMESTAMP AS OF timestamp_expressionSELECT count() FROM events VERSION AS OF version Time travel looks a bit like temporal tables in SQL Server.

Read More

Kafka And The Differing Aims Of Data Professionals

Kai Waehner argues that there is an impedence mismatch between data engineers, data scientists, and ML production engineers: Data scientists love Python, period. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs. Both the stablest and most cutting edge APIs, as well as the majority of examples and tutorials use Python APIs. […]

Read More

Categories

September 2017
MTWTFSS
« Aug Oct »
 123
45678910
11121314151617
18192021222324
252627282930