Remove 2003 Remove Benchmarking Remove Database
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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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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. The database installation must include both the include and lib directories. linux-glibc2.12-x86_64/bin.

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HammerDB v4.8 New Features : Viewing your Benchmark results with the HammerDB Web Service

HammerDB

Configuring the Jobs Database The base configuration is set in the xml files in the config directory with the jobs SQLite database being set in the commandline section of generic.xml by specifying the filename. Copyright (C) 2003-2023 Steve Shaw Type "help" for a list of commands Initialized new Jobs on-disk database /opt/HammerDB-4.8/DATA/hammer.db

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

HammerDB

When you list the HammerDB directory you can now see a directory called “scripts” This directory contains CLI scripts to build, run, delete and query TPROC-C and TPROC-H workloads against all databases. If HammerDB is running on a separate system from the database under test then you should modify this value accordingly.

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How to deploy HammerDB CLI fast with Docker

HammerDB

The TPC publishes an official Docker image on Docker Hub to enable the rapid deployment and testing of databases with HammerDB. This image includes example scripts to build schemas and test your databases with a single command. hammerdb>librarycheck Checking database library for Oracle Success. Database Configuration.

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

HammerDB

introduced a Dockerfile and Docker Images to pull from Docker Hub for rapid deployment of HammerDB with builds already including third-party database libraries. When the script has finished we can gather our results, having installed, started and run a benchmark in our HammerDB Docker image in 3 steps. HammerDB v4.5 TMP/hammer.DB

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HammerDB v4.3 New Features Pt2: Enhanced Webservice with SQLite repository

HammerDB

cloud based usage led to the development of a HammerDB HTTP based web service interface with output data stored in a SQLite database repository. ws_port defines on which port to start the HTTP service, whilst sqlite_db sets the location of the SQLite repository database. HammerDB Web Service v4.3 HammerDB Web Service v4.3