Debezium Snapshots Revisited











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Initial snapshots are a core feature of Debezium: when setting up a new CDC connector, existing tables can be scanned in order to export their full state to consumers, before starting to capture changes from the transaction log. While this works great in general, a few questions came up again and again in the Debezium community over time: • How to re-snapshot just a single table? • How to pause and resume long-running snapshots? • How to run snapshots in parallel to reading changes from the log? • • All this, and more, becomes possible with the notion of incremental snapshots. In this session you'll learn how this innovative scheme of interleaving snapshot queries and log-based change events works under the hood and how it solves common tasks when running CDC pipelines. We'll also discuss advanced topics like parallelising snapshots and customising snapshot contents. • ABOUT CONFLUENT • Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit www.confluent.io. • #confluent #apachekafka #kafka

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