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

HammerDB

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 On Windows it will look for TEMP, TMP, TMPDIR or finally C: for example, on Linux. In this example, we will run a PostgreSQL TPROC-C autopilot workload to generate some jobs to analyse.

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Using HammerDB in database failure and failover scenarios

HammerDB

A frequently asked question with HammerDB is when a user is using the TPROC-C workload to test database failure and failover scenarios, by deliberately killing connections or shutting down the database during a workload and then restarting it. Is a TPROC-C workload valid if you have restarted the database?

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Is Thread Pool Plugin the Right Choice for Your Workload?

Percona

We decided to run a few benchmarks to understand how the thread pool affects long-running transactions. When analyzing the workload, I found that the performance drop was caused by applications executing some very long queries like UPDATE affecting many rows, INSERT… SELECT without limit clause and other similar DMLs.

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Matching Supply With Demand Challenge

SQL Performance

is matched for Demand 3 and Supply 2000, leaving 2.0 of Demand 3 and depleting supply 2000. L0 AS ( SELECT 1 AS c. It will be used as a benchmark. A quantity of 3.0 is matched for Demand 2 and Supply 1000, depleting both Demand 2 and Supply 1000. A quantity of 6.0 A quantity of 2.0 A quantity of 2.0 A quantity of 1.0

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How to deploy HammerDB CLI fast with Docker

HammerDB

Copyright (C) 2003-2022 Steve Shaw Type "help" for a list of commands Initialized new SQLite on-disk database /tmp/hammer.DB Under the HammerDB home directory is a scripts directory containing example scripts to test all supported databases except for Db2 in both tcl and python format for both TPROC-C and TPROC-H workloads. TMP/hammer.DB

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Web Performance Bookshelf

Rigor

Steve Souders, plus Dion Almaer, Doug Crockford, Ben Galbraith, Tony Gentilcore, Dylan Schiemann, Stoyan Stefanov, Nicole Sullivan, Nicholas C. In her book, Lara Hogan helps you approach projects with page speed in mind, showing you how to test and benchmark which design choices are most critical. ” – Andy King, 2003.

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Data Mining Problems in Retail

Highly Scalable

Besides that, the numbers can vary greatly depending on many factors, so our goal here is just to provide a few benchmarks that give some sense of the magnitude of potential improvements. Recall the basic equation for enterprise profit: where Q is quantity sold, P is price, V denotes variable costs, and C denotes fixed costs.

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