Debezium - Capturing Data the Instant it Happens (with Gunnar Morling)
Nov 1, 2023
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Developer Gunnar Morling discusses Debezium capturing real-time data from various databases for replication and cache invalidation. They explore challenges in data synchronization, incremental snapshotting, and migrating to microservices using Kafka Connect and Apache Flink. The conversation emphasizes architecture evolution, team dynamics, and risk management strategies for seamless data movement and integration.
Debezium enables real-time data streaming and replication from various databases to external systems.
Change data capture in Debezium tracks database events like inserts and updates for instant notifications.
Incremental snapshotting in Debezium facilitates gradual data extraction for seamless migration to microservices.
Deep dives
Databases
Traditional databases are excellent at storing historical data but lack real-time capabilities. The podcast introduces Debezium as a tool to tap into existing databases and provide live notifications, real-time analytics, and data replication. Debezium is praised for its minimally invasive nature, allowing access to data streams without altering the existing data model or databases.
Change Data Capture
Debezium serves as a change data capture solution, providing notifications for database changes in real-time. It captures events like inserts, updates, or deletions from databases such as Postgres, MySQL, or SQL Server, ensuring that external systems are updated with relevant data as it changes.
Transactional Concepts
Debezium operates by tracking transaction log changes in databases, ensuring reliability and robustness. This log-based change data capture method is efficient and versatile, connecting to various sync systems like Apache Kafka.
Incremental Snapshotting
The podcast discusses incremental snapshotting as a key feature of Debezium to gradually extract data from legacy systems into real-time streaming. This approach ensures that full data snapshots are completed before sending them to new microservices, enhancing data accuracy and reducing operational risks.
Migration Strategies
For organizations transitioning to microservices, Debezium plays a crucial role in the strangler fig pattern, enabling a gradual migration approach by extracting functionalities into microservices without disrupting existing systems. This allows for risk reduction, step-by-step changes, and seamless integration of new and legacy systems.
This week we’re looking at Debezium - an open source project that taps into a huge number of databases and lets you stream data to other systems in real time. It’s a huge project that covers a wide range of uses: Some people use it to replicate from Oracle to MySQL, others to do smart cache invalidation, and others to build a bridge from an existing relational database to the event-sourcing world. If you’re working on a system that has more than one kind of database, it may be an essential tool. But what exactly does it do, and how does it do it?
Joining us for a deep dive is Debezium expert and former project lead, Gunnar Morling. He takes us through all things Debezium, from who uses Debezium and why; which systems you can connect to and what data you get out from it; and how a project of this scope is developed.