This article explains how PolarDB-X builds clustered columnar indexes by merging historical and incremental data while preserving row-column consistency.
The article introduces PolarDB-X v2.4.2, featuring enhanced open-source ecosystem integration via new client drivers, the open-sourced polardbx-proxy,...
This article systematically analyzes the high-availability (HA) architecture of PolarDB-X.
This article introduces PolarDB-X's core technology of transaction management in its storage engine, focusing on Lizard branch transaction management ...
This article discusses how PolarDB-X optimizes IN queries, specifically addressing execution plan management and pre-pruning of the IN list parameters...
This article introduces the Lizard lock-free full backup design of PolarDB-X.
This article focuses on the advanced capabilities of PolarDB-X CDC.
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 talks about the design principles of data distribution in PolarDB-X.
This article describes how data is distributed in PolarDB-X.
This article explains PolarDB-X Operator's global PITR (point-in-time recovery) achievement for XA/TSO transactions and introduces a two-heartbeat transaction recovery method.
This article describes the backup and restoration features of PolarDB-X.
This article provides an overview of the implementation methods, advantages, and disadvantages of Join Reorder in various popular databases.
Part 23 of this series explains why Offline data warehouses based on Hive and real-time data warehouses based on Kafka + Flink make it easy to distribute data warehouses.
This article aims to answer one question – what happens to distributed databases when two machines are hung up? – (with examples).
In this article, we discuss the interesting features of the latest version of PolarDB-X, kernel V5.4.14.
In this article, David Chen, describes what you can expect from Cloud-Native Database 2.0.
This article explores several ways for implementing join on distributed databases, namely Lookup Join using PolarDB-X.
In this blog, we'll introduce Runtime Filters and discuss how it can help improve query performance of the Join operation for databases.
