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Web Performance Bookshelf

Rigor

These are the bestsellers in the web performance field, including the good old Speed Up Your Site (2003) by Andy King; Steve Souders’ Even Faster Web Sites (2009) ; Ilya Grigorik’s High Performance Browser Networking (2013) ; Tammy Everts’ Time is Money (2016) ; and a handful of more recent publications.

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Running hammerdbcli from a bash or batch script updated for v3.2

HammerDB

By default the HammerDB command line interface was designed to run interactively. Copyright (C) 2003-2019 Steve Shaw Type "help" for a list of commands The xml is well-formed, applying configuration SETTING CONFIGURATION Database set to Oracle. bin/bash echo "BASH SCRIPT BEFORE BUILD."./hammerdbcli BASH SCRIPT BEFORE BUILD.

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Why Tcl is 700% faster than Python for database benchmarking

HammerDB

So instead we are going to take a cut down version of the HammerDB TPROC-C driver script and do the same in Python and use the HammerDB infrastructure to measure performance. (We use stored procedures because, as the introductory post shows, using single SQL statements turns our database benchmark into a network test). usr/local/bin/tclsh8.6

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HammerDB: Using MySQL 5.7 vs 8.0 to understand performance profiles

HammerDB

with the TPROC-C workload on a system with 2 sockets of Intel Xeon 8280L that means we have 28 cores per socket, with 56 physical CPUs and 112 logical CPUs with Hyper-Threading. Plotting these data points enables us to understand the scalability of the database software being tested on that system. and MySQL 8.0.25 and MySQL 8.0.25

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HammerDB Concepts and Architecture

HammerDB

TCL was designed as a language to be closely tied with C/C++ and at this lower level there is the compiled TCL (tclsh) or TCL/TK (wish) interpreter and supporting libraries. The include directory contains the platform specific C header files for this purpose. You can download and compile TCL/TK 8.6 HammerDB CLI v3.1

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

Adrian Cockcroft

I was mostly coding in C, tuning FORTRAN, and when I needed to do a lot of data analysis of benchmark results used the S-PLUS statistics language, that is the predecessor to R. I worked with the engineering team that was designing the backplane connector, but the project was eventually cancelled when Sun ran out of money.

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Data Mining Problems in Retail

Highly Scalable

Although these problems are very different, we are trying to establish a common framework that helps to design optimization and data mining tasks required for solutions. The design of the model heavily depends on the problem. This model helps to design targeted usage expansion campaigns. Propensity to category expansion.

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