This article describes the features of PolarDB-X 2.4.1, including dump and restoration of cloud backup, online DDL, physical scaling, and time to live (TTL).
The article discusses the evolution and expansion of PolarDB-X and the introduction of its Global Database Network (GDN) product feature.
The article explains the design points of PolarDB-X's TPC-H columnar execution plan, covering optimization principles, proofs, and code implementations.
The article introduces the core technology of the PolarDB-X storage engine, specifically focusing on the Lizard B+tree optimization.
This article introduces an in-depth comparison between MySQL MGR and Alibaba Cloud PolarDB-X Paxos for database disaster recovery.
The article introduces the core technology and optimization strategies of the PolarDB-X storage engine.
This article introduces the Lizard lock-free full backup design of PolarDB-X.
The article introduces the concept of flashback technology in PolarDB-X.
This article introduces the Schema Evolution capability designed for DDL operations in the PolarDB-X column-oriented storage engine.
This article focuses on the perspective of the SQL engine executor and introduces various new features in PolarDB-X column-oriented analysis query acceleration.
This article focuses on the advanced capabilities of PolarDB-X CDC.
This article uses column type change as an example to briefly explain how to execute the ALTER TABLE statement in PolarDB-X.
This article introduces the implementation of PolarDB-X distributed transactions, focusing on the XA Transaction and TSO Transaction strategies.
This article describes the technical efforts made by PolarDB-X to introduce global secondary indexes that are compatible with the indexing experience in MySQL.
This article introduces the importance of table groups in distributed databases.
The article introduces the importance of transparent distribution in modern distributed databases, focusing on the test results of TPC-C and the necessity of global indexes.
This article covers PolarDB-X's sharding rule changes, a cloud-native database that distributes data across multiple nodes and supports dynamic repartitioning.
This article talks about the design principles of data distribution in PolarDB-X.
This article introduces XRPC, a technical solution that addresses complex communication requirements between compute nodes and data nodes in PolarDB-X.
The article introduces the concept of using savepoints in databases, specifically in the context of addressing data inconsistency issues in distributed databases such as PolarDB-X.