Remove 2003 Remove Benchmarking Remove Code Remove Performance
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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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HammerDB v4.8 New Features : Viewing your Benchmark results with the HammerDB Web Service

HammerDB

Copy Code Copied Use a different Browser hammerdb>jobs disable 1 Disabling jobs repository, restart HammerDB to take effect and in the GUI use the Jobs Disabled/Enabled option. in in the DATA directory, set this as follows: Copy Code Copied Use a different Browser <commandline> <sqlite_db>/opt/HammerDB-4.8/DATA/hammer.db</sqlite_db>

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Web Performance Bookshelf

Rigor

Reading time 1 min Why share the library of the web performance books while there’s a substantial collection of fantastic websites and articles on the net? ” – Andy King, 2003. High Performance Browser Networking. This book is about performance problems and the various technologies created to fight them.

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How to build HammerDB from source

HammerDB

If you are not already familiar with the programming languages that HammerDB uses, then this earlier post serves as an ideal introduction to what makes up the highest performing GIL free database benchmarking application. and for Windows: You now have your own distribution of HammerDB with the latest source code. Linux.tar.gz

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How to deploy HammerDB CLI fast with Docker

HammerDB

database with Docker installed, so we are going to use Docker to pull the HammerDB image and run the test scripts to measure the database performance. Copyright (C) 2003-2022 Steve Shaw Type "help" for a list of commands Initialized new SQLite on-disk database /tmp/hammer.DB Our Linux test system is running a MariaDB 10.10 Docker Hub.

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Supercomputing Predictions: Custom CPUs, CXL3.0, and Petalith Architectures

Adrian Cockcroft

on Myths and Legends of High Performance Computing  — it’s a somewhat light-hearted look at some of the same issues by the leader of the team that built the Fugaku system I mention below. Over time we are seeing more applications with more complex physics and simulation characteristics so HPCG is becoming more relevant as a benchmark.

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HammerDB v4.6 New Features Pt1: Python CLI Interface

HammerDB

Copyright (C) 2003-2022 Steve Shaw. Copyright (C) 2003-2022 Steve Shaw. Vuser 1:Writing timing data to C:/Users/Hdb/AppData/Local/Temp/hdbxtprofile.log Vuser 1:FINISHED SUCCESS ALL VIRTUAL USERS COMPLETE vudestroy success TEST SEQUENCE COMPLETE hammerdb>>> Python Performance and the GIL. Use a different Browser. $./hammerdbcli