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Impact of Querying Table Information From information_schema

Percona

Disclaimer : This blog post is meant to show a less-known problem but is not meant to be a serious benchmark. The percentage in degradation will vary depending on many factors {hardware, workload, number of tables, configuration, etc.}. Setup The setup consists of creating 10K tables with sysbench and adding 20 FKs to 20 tables.

Cache 101
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Upcoming of the learned data structures

Abhishek Tiwari

More importantly, if this works out well, this could lead to a radical improvement in performance by leveraging hardware trends such as GPUs and TPUs. They demonstrated that neural nets based learned index outperforms cache-optimized B-Tree index by up to 70% in speed while saving an order-of-magnitude in memory. Learned indexes.

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SQL Server I/O Basics Chapter #1

SQL Server According to Bob

Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well. Many high-end disk subsystems provide high-speed cache facilities to reduce the latency of read and write operations. This cache is often supported by a battery-powered backup facility.

Servers 40
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The Performance Inequality Gap, 2021

Alex Russell

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. Hardware Past As Performance Prologue. Using a global ASP as a benchmark can further mislead thanks to the distorting effect of ultra-high-end prices rising while shipment volumes stagnate.

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Can You Afford It?: Real-world Web Performance Budgets

Alex Russell

Budgets are scaled to a benchmark network & device. Deciding what benchmark to use for a performance budget is crucial. Simulated packet loss and variable latency, however, can make benchmarking extremely difficult and slow. They use “do what it takes” language to describe the efforts to get and stay fast.

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Front-End Performance Checklist 2021

Smashing Magazine

Build Optimizations JavaScript modules, module/nomodule pattern, tree-shaking, code-splitting, scope-hoisting, Webpack, differential serving, web worker, WebAssembly, JavaScript bundles, React, SPA, partial hydration, import on interaction, 3rd-parties, cache. This improves page load time and caching during navigations.

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Front-End Performance Checklist 2020 [PDF, Apple Pages, MS Word]

Smashing Magazine

On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later). Geekbench CPU performance benchmarks for the highest selling smartphones globally in 2019. On a middle-class mobile device, that accounts for 15–25 seconds for Time-To-Interactive.