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Transaction Processing Performance Council

Technical Secrets of PolarDB: Elastic Parallel Query (ePQ)

This article explores the technical strategies behind PolarDB’s success in topping the TPC-C benchmark, focusing on the collaboration between hardware and software in optimizing costs.

Technical Secrets of PolarDB: High Availability - Smooth Switchover

This article delves into the high availability architecture and smooth switchover capabilities of PolarDB, which helped it achieve top results in the TPC-C benchmark test.

Technical Secrets of PolarDB: Cost Optimization - Hardware and Software Collaboration

This article explores the technical strategies behind PolarDB’s success in topping the TPC-C benchmark, focusing on cost optimization through hardware and software collaboration.

Technical Secrets of PolarDB: Standalone Performance Optimization

This article introduces PolarDB's achievement of setting a new world record for TPC-C performance and cost-effectiveness, highlighting its standalone performance optimization techniques.

Technical Secrets of PolarDB: Limitless Clusters and Distributed Scaling

This article highlights PolarDB's record-setting performance and cost-effectiveness in the TPC-C benchmark, and introduces its limitless clusters and distributed scaling capabilities.

PolarDB-X TPC-H Column-Oriented Storage Execution Plan

The article explains the design points of PolarDB-X's TPC-H columnar execution plan, covering optimization principles, proofs, and code implementations.

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.