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How To Use BenchmarkDotNet: 6 Simple Performance-Boosting Tips To Get Started

DZone

One powerful way that can help us accurately measure the performance of our code is a process called benchmarking, and we’ll look at how to use BenchmarkDotNet with our C# code. BenchmarkDotNet is a versatile, open-source performance assessment tool tailored for.NET developers.

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Why Tcl is 700% faster than Python for database benchmarking

HammerDB

Python is a popular programming language, especially for beginners, and consequently we see it occurring in places where it just shouldn’t be used, such as database benchmarking. We use stored procedures because, as the introductory post shows, using single SQL statements turns our database benchmark into a network test).

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Why you should benchmark your database using stored procedures

HammerDB

HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. HammerDB has always used stored procedures as a design decision because the original benchmark was implemented as close as possible to the example workload in the TPC-C specification that uses stored procedures.

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How To Scale a Single-Host PostgreSQL Database With Citus

Percona

About the cluster Following a step-by-step process, the objective is to create a four-node cluster consisting of: PostgreSQL version 15 Citus extension (I’ll be using version 11, but there are newer ones available.) In order to speed up the benchmark indexes must be added.

Database 102
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Faster remainders when the divisor is a constant: beating compilers and libdivide

Daniel Lemire

I believe that all optimizing C/C++ compilers know how to pull this trick and it is generally beneficial irrespective of the processor’s architecture. In concrete terms, here is the C code to compute the remainder of the division by some fixed divisor d : uint32_t d =. ; // your divisor > 0. if ( ( i % 3 ) = = 0 ).

C++ 279
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Grafana Dashboards: A PoC Implementing the PostgreSQL Extension pg_stat_monitor

Percona

This simplifies debugging and analysis processes by enabling users to execute the same query. A script executing a benchmarking run: #!/bin/bash Capture Actual Parameters in the Queries : pg_stat_monitor allows you to choose if you want to see queries with placeholders for parameters or actual parameter data.

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PostgreSQL Connection Pooling: Part 4 – PgBouncer vs. Pgpool-II

Scalegrid

It uses only one process which makes it very lightweight. If we require N parallel connections, this forks N child processes. By default, there are 32 child processes that are forked. Pgpool-II defines one process per child process. We cannot control which child process a client connects to. Not supported.