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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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HammerDB v4.7 New Features Pt 2: Example CLI Scripts

HammerDB

Copy Code Copied Use a different Browser ~/HammerDB-4.7$ Copy Code Copied Use a different Browser ~/HammerDB-4.7/scripts/tcl/maria/tprocc$ Copy Code Copied Use a different Browser ~/HammerDB-4.7/scripts/tcl/maria/tprocc$ It will create the number of virtual users to the number of CPUs on the system where HammerDB is running.

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HammerDB v4.7 New Features Pt 3: Lightweight Docker Images for rapid testing

HammerDB

introduces more lightweight database specific Docker Images, so if you only want to run benchmarks against a specific database you can go from having no benchmarking environment to reviewing your results in as little as 3 commands. Copy Code Copied Use a different Browser /home/hammerdb/HammerDB-4.7#./scripts/tcl/postgres/tprocc/pg_tprocc.sh

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How to deploy HammerDB CLI fast with Docker

HammerDB

Our Linux test system is running a MariaDB 10.10 On a system with docker installed, use docker pull tpcorg/hammerdb to pull the latest image. On a system with docker installed, use docker pull tpcorg/hammerdb to pull the latest image. Docker Hub. The image can be found on Docker Hub under the tpcorg account. Docker Pull.

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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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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. HPCG is led by Japan’s RIKEN Fugaku system at 16 petaflops, which is 3% of it’s peak capacity. Next generation architectures will use CXL3.0