This blog post aims to delve into the core concepts, typical usage, common practices, and best practices related to scenarios where the kafka connect rest api fails to function correctly. One of the most common headaches for kafka administrators is running out of disk space on broker nodes. When data flows into kafka and at least one of the connectors has data to read, everything works fine.
🦄 @peya.bipasha - Peya Bipasha - TikTok
For the procedures outlined in this page, the assumption is that your connect worker and source connector are running, but kafka connect is not ingesting any data
By the end of this article, you'll have a systematic approach that turns mysterious connector failures into solved problems in minutes, not hours
Here's what makes kafka connect debugging so frustrating The error messages often point you in completely the wrong direction. In the rest, i list 21 issues i went through and provide solutions to resolve them Let’s get to the heart of the matter.
This proposal adds support for restarting kafka connect connectors and connector tasks via annotations added to the kafkaconnector and kafkamirrormaker2 custom resources and via overridable default behaviour of the kafkaconnector and kafkamirrormaker2 operators. We are encountering a problem in our kafka connect setup where connect tasks silently go down without reporting any error We do not realize that the task has gone down unless the oplog change stream is lost and we start… Here’s a list of common kafka issues i’ve run into in production environments — and more importantly, how to solve them without breaking a sweat (or at least, not too much)
