All Posts

This article explains the challenges of scaling database connections and how connection pooling and multiplexing can address them.

This article explains and compares the CutOver algorithms of pt-osc, gh-ost, and Facebook's OnlineSchemaChange.

Exploring the design of a distributed read-write lock for PolarDB-X, this blog delves into the complexities and considerations of ensuring synchronized DDL execution in a distributed database environment.

Detailed explanation of how to write a Kubernetes operator by building a TicTacToe game.

I am learning kubernetes, so I write a TicTacToe game based on Kubernetes Operator. This is a sample project to demonstrate how to build a Kubernetes Operator with Kubebuilder.

This article compares WeScale, a MySQL-compatible database proxy, with MySQL, highlighting its read-write splitting, connection pooling, and failover features. WeScale maintains high throughput and low latency under heavy loads, with minimal additional memory use and about 1/3 CPU overhead. It scales better both horizontally and cost-effectively than scaling MySQL vertically.

The article explains WeSQL WeScale's read-write splitting, ensuring read-after-write consistency and load balancing.

The article discusses the necessity of ACID properties for database DDL operations, challenges in traditional systems, and how PolarDB-X implements transactional DDL, ensuring atomicity, consistency, isolation, and durability to enhance reliability and operational flexibility.

Database schema evolution (DDL) poses unique challenges in ensuring concurrency with transactions while maintaining ACID properties. Traditional approaches use metadata locks (MDLs) to serialize DDL and DML/DQL, but this can severely impact performance. This blog discusses the issues and explores solutions like multi-version concurrency control to enable highly concurrent non-blocking schema changes.

This blog discusses the fatal problem of distributed metadata lock (MDL) deadlocks that can occur when distributed transactions and database definition language (DDL) statements execute concurrently across multiple database nodes. It explains the causes and presents a solution for detecting these distributed MDL deadlocks.