Raft is a consensus-based method that distributes data in such a way that it creates and maintains a high availability environment for your database. This article introduces the general components and mechanisms of Raft, and how distributed databases such as TiDB and TiKV use Raft to achieve high availability and consistency.
Combining Flink and TiDB provide powerful support for real-time data processing. In this article, a NetEase senior engineer introduces how they use Flink on TiDB to guarantee end-to-end exactly-once semantics.
Learn about TiDB Operator's component control loop and how it manages TiDB's component lifecycle.
As a key-value database, TiKV has much higher performance requirements than a regular application, so tracing tools must have minimal impact. Learn how we trace TiKV requests while impacting performance less than 5%.
This post introduces the execution workflow of a TiKV request in the prewrite phase. It offers a top-down description of how the prewrite request of an optimistic transaction is executed within the multiple modules of the Region leader.
Learn about Kubernetes's Operator pattern and TiDB Operator's major reconcile loop.
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