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

Adrian Cockcroft

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. I presented a keynote for Sun at Supercomputing 2003 in Phoenix Arizona and included the slide shown below.

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HammerDB MySQL and MariaDB Best Practice for Performance and Scalability

HammerDB

For anyone benchmarking MySQL with HammerDB it is important to understand the differences from sysbench workloads as HammerDB is targeted at a testing a different usage model from sysbench. Copyright (C) 2003-2018 Steve Shaw. Copyright (C) 2003-2018 Steve Shaw. HammerDB difference from Sysbench. library file “libmysqlclient.so.20”

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What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. I also applied Six Sigma to capacity planning and presented this at a conference in 2003.

Tuning 52
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HammerDB Concepts and Architecture

HammerDB

This article Threads Done Right… With Tcl gives an excellent overview of these capabilities and it should be clear that to build a scalable benchmarking tool this thread performance and scalability is key. You can download and compile TCL/TK 8.6 HammerDB CLI v3.1 HammerDB CLI v3.1

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Data Mining Problems in Retail

Highly Scalable

To a certain extent, such a high diversity of recommendation techniques is attributed to several implementation challenges like a sparsity of customer ratings, computational scalability, and lack of information on new items and customers. Prairie, 2003. PZ07] Content-based Recommendation Systems, M. Pazzani, D. Billsus, 2007.

Retail 152
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SQL Server I/O Basics Chapter #2

SQL Server According to Bob

​​ For example, ​​ the I/O speed of a snapshot database could limit certain query scalabilities. 2000, and 2005 - replaced with SQLIOSim) ​​

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