×
Distributed Database

Core Technology of PolarDB-X Storage Engine | Lizard Branch Transaction Management

This article introduces PolarDB-X's core technology of transaction management in its storage engine, focusing on Lizard branch transaction management ...

PolarDB-X Technical Practice | IN Query Execution Plan Management and Pre-pruning

This article discusses how PolarDB-X optimizes IN queries, specifically addressing execution plan management and pre-pruning of the IN list parameters...

Core Technology of PolarDB-X Storage Engine | Lizard Lock-free Backup

This article introduces the Lizard lock-free full backup design of PolarDB-X.

PolarDB-X CDC: Compatible with MySQL and Beyond

This article focuses on the advanced capabilities of PolarDB-X CDC.

Interpretation of PolarDB-X Data Distribution (4): Transparent vs. Manual

This article introduces the importance of table groups in distributed databases.

Interpretation of PolarDB-X Data Distribution (3): TPC-C and Transparent Distribution

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.

Interpretation of PolarDB-X Data Distribution (2): Hash vs. Range

This article talks about the design principles of data distribution in PolarDB-X.

Interpretation of PolarDB-X Data Distribution (1)

This article describes how data is distributed in PolarDB-X.

Point-in-Time Recovery for PolarDB-X Operator: Leveraging Two Heartbeat Transactions

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.

Safeguarding Your Data with PolarDB-X: Backup and Restoration

This article describes the backup and restoration features of PolarDB-X.

Join Reorder - Core Technology of PolarDB for Xscale Optimizer

This article provides an overview of the implementation methods, advantages, and disadvantages of Join Reorder in various popular databases.

Learning about Distributed Systems - Part 23: Distributed Data Warehouse

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.

About Database Kernel | What Happens to Distributed Databases When Two Machines Are Hung Up?

This article aims to answer one question – what happens to distributed databases when two machines are hung up? – (with examples).

PolarDB-X Kernel V5.4.14: A New Version with More Refined Data Management Capabilities

In this article, we discuss the interesting features of the latest version of PolarDB-X, kernel V5.4.14.

Knocking on the Door to Cloud-Native Database 2.0

In this article, David Chen, describes what you can expect from Cloud-Native Database 2.0.

How to Implement Join Operation on Distributed Databases

This article explores several ways for implementing join on distributed databases, namely Lookup Join using PolarDB-X.

Query Performance Optimization – Runtime Filter

In this blog, we'll introduce Runtime Filters and discuss how it can help improve query performance of the Join operation for databases.

Cloud-Native Database 2.0: All-in-One Comprehensive Data Management and Services

This is a transcript by Li Feifei, VP of Alibaba Group and Head of Alibaba Cloud's Database BU, on open-source and cloud-native distributed databases.

HEADING's ERP Help Retailers Reduce Costs by 50% with Alibaba Cloud PolarDB

HEADING's ERP Solutions Provide Full Compatibility with Alibaba Cloud Apsara PolarDB to Help Retailers Reduce Costs by 50%

BDS Supports Cassandra for Quick Data Migration

This article describes how BDS supports Cassandra to perform database migration.