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Скачать или смотреть How to Convert Microsecond Timestamps to Milliseconds in Debezium PostgreSQL Connector

  • vlogize
  • 2025-09-23
  • 4
How to Convert Microsecond Timestamps to Milliseconds in Debezium PostgreSQL Connector
milliseconds timestamp in debezium postgres connectorpostgresqlapache kafkaapache kafka connectdebeziumstrimzi
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Описание к видео How to Convert Microsecond Timestamps to Milliseconds in Debezium PostgreSQL Connector

Addressing timestamp issues in Debezium PostgreSQL Connector, learn how to ensure records are produced in milliseconds for stable Kafka clusters.
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This video is based on the question https://stackoverflow.com/q/63005679/ asked by the user 'user2416' ( https://stackoverflow.com/u/6311073/ ) and on the answer https://stackoverflow.com/a/63498156/ provided by the user 'user2416' ( https://stackoverflow.com/u/6311073/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

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Introduction

In modern data processing, especially within systems using Kafka, timing accuracy is crucial. A common issue that many developers and data engineers face is the need to convert microsecond timestamps into milliseconds when working with the Debezium PostgreSQL connector. This challenge can lead to instability in Kafka clusters when records are produced in microsecond formats, which can cause inefficient rolling of segments. If you're facing this problem, you’re not alone, and we’re here to help you find the solution.

The Problem

You may notice that your Kafka cluster is behaving unexpectedly due to the timestamps of the records being produced. If records contain timestamps in microseconds, but Kafka operates under milliseconds expectations, this discrepancy can lead to segment rolling over too quickly, straining your Kafka environment. A user reported that their Kafka cluster was unstable, and it seems this issue stemmed from the format of timestamps – which ultimately hindered the processing performance.

Configuration Example

To understand the significance of this issue further, it’s helpful to look at relevant configurations being used. Here’s an example of configurations from a PostgreSQL source connector:

[[See Video to Reveal this Text or Code Snippet]]

This configuration outlines several parameters essential for connecting Debezium to your PostgreSQL database.

The Solution: Upgrading to Debezium 1.1.0

Fortunately, this specific issue can be resolved quite efficiently. The Debezium team has addressed the timestamp format discrepancy in version 1.1.0. Upgrading to this version comes with built-in optimizations and fixes, including the handling of timestamps.

Steps to Upgrade

Check Your Current Version: Before making changes, determine the current version of Debezium running in your environment.

Plan the Upgrade: Review release notes for Debezium 1.1.0 to understand the new features and fixes.

Backup Your Configurations: It’s wise to back up existing configurations to prevent any loss during the process.

Upgrade to Version 1.1.0: Follow your organization's protocol for upgrading, which may involve pulling new Docker images, or updating dependencies if you're managing the Debezium connector differently.

Test Your Connection: After upgrading, verify that the timestamp format is now in milliseconds as expected by Kafka.

Conclusion

Dealing with timestamp formats in data processing can be tricky, but fortunately, there’s a straightforward solution if you're using the Debezium PostgreSQL connector. By upgrading to Debezium version 1.1.0, you will resolve the issue of microsecond timestamps and help stabilize your Kafka cluster. Upgrading ensures a smoother operation and enhances processing efficiency, allowing you to focus on building robust real-time applications. Don't let timestamp discrepancies hold you back – upgrade today and see the difference in your streaming architecture!

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