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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 v4.7 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 v4.6 New Features Pt2: Jobs Interface

HammerDB

For example on Windows an example of opening a new database. Copyright (C) 2003-2022 Steve Shaw Type "help" for a list of commands Initialized new SQLite on-disk database C:/Users/Hdb/AppData/Local/Temp/hammer.DB If disabled, the SQLite repository database is not opened, and it is not possible to query any jobs related data.

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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. You should already be aware that due to the Python GIL impacting multithreading performance it is not possible to drive a high-performance database workload directly from Python. Why Tcl is 700% faster than Python for database benchmarking.

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HammerDB v4.1 New Features Pt3: Step Workloads

HammerDB

HammerDB Variable or Step Workloads are an advanced testing feature that enables you to automatically vary the load on the database over a period of time. When taking this approach you would not focus on the test result but instead monitor the databases ability to cope with the variation in demand and transaction response times.

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Why Waits Alone Are Not Enough

SQL Performance

The queues component of our methodology comes from Performance Monitor counters, which provide a view of system performance from a resource standpoint.". Tom Davidson, Opening Microsoft's Performance-Tuning Toolbox SQL Server Pro Magazine, December 2003. Waiting queries mean waiting applications and users, and no one likes to wait!

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