Debezium Blog
It’s been a busy month in Debezium-land, and it’s my pleasure to announce the first release of Debezium 2.4 series, 2.4.0.Alpha1. This release includes a plethora of changes, 59 changes to be exact, that cover a wide range of resolved issues, improvement to stability, new features, and several breaking changes. Let’s dive into each of these and discuss them in more depth. Breaking changes New features Other changes Breaking changes MongoDB The MongoDB connector explicitly...
Welcome to this series of articles dedicated to signaling and notifications in Debezium! This post serves as the second installment in the series, where we will discuss how to customize the signal and notification channels in Debezium.
Debezium 2.3 introduced new improvements in signaling and notification capabilities. You can set up new signals and notification channels in addition to the pre-defined signals and notification channels offered by Debezium. This feature enables users to customize the system to suit their unique needs and combine it with their existing infrastructure or third-party solutions. It enables effective monitoring and a proactive response to data changes by precisely capturing and communicating signal events and triggering notifications through preferred channels.
The first article in this series, Signaling and Notifications in Debezium, provides an overview of the signaling and notification features in Debezium. It also discusses the available channels & their use cases for various scenarios.
This post is the final part of a 3-part series to explore using Debezium to ingest changes from an Oracle database using Oracle LogMiner. In case you missed it, the first installment of this series is found here and the second installment is found here.
In this third and final installment, we are going to build on what we have done in the previous two posts, focusing on the following areas:
Welcome to this series of articles dedicated to signaling and notifications in Debezium! This post serves as the first installment in the series, where we will introduce the signaling and notification features offered by Debezium and discuss the available channels for interacting with the platform.
In the subsequent parts of this series, we will delve deeper into customizing signaling channels and explore additional topics such as JMX signaling and notifications.
Every now and then there is a questions in the Debezium chat or on the mailing list how to ensure exactly-once delivery of the records produced by Debezium. So far Debezium aimed only for at-least-once delivery. This means Debezium guarantees every single change will be delivered and there is no missing or skipped change event. However, in case of failures, restarts or DB connection drops, the same event can be delivered more than once. Typical scenario is that the event is delivered twice - once before failure/restart and second time after that. Exactly-once delivery (or semantic) provides stronger guarantee - every single message will be delivered and at the same time there won’t be any duplicates, every single message will be delivered exactly once. So far our answer was that the users have to implement their own deduplication system if they need exactly-once delivery. However, with Kafka Connect support for exactly-once delivery, it seems we can provide exactly-once delivery for Debezium connectors out-of-the-box, only with a little configuration change.
