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How to Assess MySQL Performance

HammerDB

Predicting application performance is a difficult art, but an important one when choosing the target deployment environment. In this blog, we aim to call out some key considerations when trying to assess MySQL performance for your application. This allows us to know our operating environment and its capability.

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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

In this blog post, we will delve into the world of PostgreSQL performance tuning and establish some basic guidelines for setting database parameters to enhance the performance of your PostgreSQL database, based on the workload. What is PostgreSQL performance tuning? Why is PostgreSQL performance tuning important?

Tuning 52
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CheriABI: enforcing valid pointer provenance and minimizing pointer privilege in the POSIX C run-time environment

The Morning Paper

CheriABI: enforcing valid pointer provenance and minimizing pointer privilege in the POSIX C run-time environment Davis et al., That ‘reasonable’ performance cost is a 6.8% And this all has to work for whole-system executions, not just the C-language portion of user processes. ASPLOS’19. CHERI implementation.

C++ 61
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Tuning PostgreSQL Database Parameters to Optimize Performance

Percona

In this blog, we will establish basic guidelines for setting PostgreSQL database parameters to improve database performance according to workload. Bear in mind that while optimizing PostgreSQL server configuration improves performance, a database developer must also be diligent when writing queries for the application. shared_buffer.

Tuning 58
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Compress objects, not cache lines: an object-based compressed memory hierarchy

The Morning Paper

Today’s paper introduces Zippads , which compared to a state of the art compressed memory hierarchy is able to achieve a 1.63x higher compression ratio and improve performance by 17%. Consider a B-Tree node from the B-tree Java benchmark: Uncompressed, it’s memory layout looks like (a) below. ” The big idea. Evaluation.

Cache 61
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What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. We had specializations in hardware, operating systems, databases, graphics, etc.

Tuning 52
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HammerDB CLI 101

HammerDB

This will show the benchmark options dialog. Benchmark Options. and benchmark set with the bm argument. For both the time it will take for the build to complete will depend on the HammerDB client CPU and the performance of the database server being loaded, during this time each action will be printed to the display.