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TPS

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Xiaolei Talks DB
Xiaolei Talks DB
May 16, 2025 · Databases

How Online DDL Impacts TPS/QPS in OceanBase: A Comprehensive Test

This article details a systematic performance test of OceanBase's online DDL capabilities, measuring TPS and QPS impacts across various DDL operations, describing the test environment, scripts, results, and conclusions for reliable database schema changes.

OceanBaseQPSTPS
0 likes · 17 min read
How Online DDL Impacts TPS/QPS in OceanBase: A Comprehensive Test
Mike Chen's Internet Architecture
Mike Chen's Internet Architecture
Sep 19, 2024 · Backend Development

Understanding High Concurrency: TPS Thresholds and Architectural Solutions

The article explains what high concurrency means, defines TPS thresholds for moderate, high, and ultra‑high traffic, and outlines key backend techniques such as distributed and microservice architectures, caching, load balancing, traffic shaping, and rate‑limiting/circuit‑breaking to handle massive request volumes.

CachingLoad BalancingMicroservices
0 likes · 6 min read
Understanding High Concurrency: TPS Thresholds and Architectural Solutions
FunTester
FunTester
Mar 25, 2024 · Backend Development

Implementing Dynamic Rate Limiting with Caffeine Cache in Java

This article explains how to build a high‑performance, dynamically configurable rate‑limiting utility for Java applications using Caffeine cache with a 1‑second refresh interval, covering data structures, limit‑checking logic, dynamic configuration, and sample code with test results.

CacheJavaTPS
0 likes · 5 min read
Implementing Dynamic Rate Limiting with Caffeine Cache in Java
Mike Chen's Internet Architecture
Mike Chen's Internet Architecture
Mar 22, 2024 · Backend Development

Understanding QPS, TPS, Response Time, and Concurrency in High‑Performance Systems

This article explains the meanings, calculations, and differences of key high‑performance metrics such as system throughput, QPS, TPS, response time, and concurrency, illustrating each concept with real‑world examples and visual diagrams to help engineers evaluate and optimize large‑scale systems.

Performance MetricsQPSTPS
0 likes · 6 min read
Understanding QPS, TPS, Response Time, and Concurrency in High‑Performance Systems
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Oct 25, 2023 · Databases

Optimizing Transaction SQL for High‑Concurrency Sales Events: Comparing Two Transaction Approaches

The article analyzes how to improve inventory‑update transactions during massive sales periods by comparing two SQL transaction patterns, calculating their TPS under defined latency assumptions, and suggesting that placing the row lock closer to the commit yields significantly higher throughput.

Database OptimizationSQLTPS
0 likes · 7 min read
Optimizing Transaction SQL for High‑Concurrency Sales Events: Comparing Two Transaction Approaches
Laravel Tech Community
Laravel Tech Community
Feb 28, 2023 · Operations

Understanding QPS, TPS, Concurrency, Throughput, and Related Performance Metrics

This article explains the definitions and differences of QPS and TPS, describes concurrency and throughput concepts, introduces related metrics such as PV, UV, DAU, MAU, and outlines key considerations for system performance testing and capacity planning.

Performance MetricsQPSTPS
0 likes · 8 min read
Understanding QPS, TPS, Concurrency, Throughput, and Related Performance Metrics
Practical DevOps Architecture
Practical DevOps Architecture
Nov 18, 2022 · Databases

Guidelines for MySQL Database Provisioning, Performance Tuning, and Load Testing

This article explains how Java architects should select appropriate MySQL database machine configurations, collaborate with DBAs for deployment, and conduct essential performance and load testing, covering QPS vs TPS, IOPS, throughput, latency, and other critical metrics for production environments.

Database ProvisioningIOPSMySQL
0 likes · 10 min read
Guidelines for MySQL Database Provisioning, Performance Tuning, and Load Testing
Top Architect
Top Architect
Oct 6, 2022 · Operations

Understanding QPS, TPS, RT, Concurrency, Throughput and Optimal Thread Count

The article explains the core performance metrics QPS, TPS, response time (RT), concurrency, and throughput, provides formulas to relate them, demonstrates practical calculations for capacity planning, and discusses how to determine the optimal number of threads for a backend system.

QPSTPSbackend
0 likes · 7 min read
Understanding QPS, TPS, RT, Concurrency, Throughput and Optimal Thread Count
Selected Java Interview Questions
Selected Java Interview Questions
Aug 30, 2022 · Backend Development

Understanding QPS, TPS, RT, Concurrency, and Throughput in Backend Systems

This article explains the key performance metrics of backend systems—including QPS, TPS, response time, concurrency, and throughput—provides their definitions, relationships, practical calculation examples, and guidance on optimal thread counts for achieving balanced performance.

QPSTPSThread Optimization
0 likes · 7 min read
Understanding QPS, TPS, RT, Concurrency, and Throughput in Backend Systems
FunTester
FunTester
Apr 23, 2022 · Operations

Target-Based Performance Testing: Understanding TPS and Pacing in LoadRunner

This article explains how to conduct target‑based performance testing with LoadRunner by manually configuring scenarios, calculating target TPS using virtual users, pacing, and think time, and demonstrates the underlying formulas and practical examples to achieve desired throughput.

LoadRunnerTPSTarget-Based Testing
0 likes · 6 min read
Target-Based Performance Testing: Understanding TPS and Pacing in LoadRunner
Aikesheng Open Source Community
Aikesheng Open Source Community
Sep 2, 2021 · Databases

Understanding and Calculating QPS and TPS in MySQL

This article explains the definitions of QPS (queries per second) and TPS (transactions per second) in MySQL, compares the various calculation methods—including Queries‑per‑second, Questions‑per‑second, and GTID‑based approaches—and recommends the most reliable ways to measure database load and transaction throughput.

GTIDMySQLQPS
0 likes · 13 min read
Understanding and Calculating QPS and TPS in MySQL
Qunar Tech Salon
Qunar Tech Salon
May 11, 2017 · Operations

Designing Performance Test Scenarios: Models, Metrics, and Strategies

This article explains how to design performance testing scenarios, covering test models, metrics, script preparation, concurrency calculations, pressure strategies, run times, delay settings, user termination, monitoring methods, and various typical scenario types such as baseline, load, mixed, capacity, large‑concurrency, stability and scalability tests.

TPSconcurrencyload testing
0 likes · 24 min read
Designing Performance Test Scenarios: Models, Metrics, and Strategies