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Why you should benchmark your database using stored procedures

HammerDB

HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. HammerDB has always used stored procedures as a design decision because the original benchmark was implemented as close as possible to the example workload in the TPC-C specification that uses stored procedures. On MySQL, we saw a 1.5X

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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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Virtual consensus in Delos

The Morning Paper

Virtual consensus in Delos , Balakrishnan et al. USENIX is a nonprofit organisation committed to making content and research freely available – both conference proceedings and the recorded presentations of their events. Without in-person conferences this year, income is down and events are under threat.

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Getting Hands-on Training into more hands in 2021

Dynatrace

And we know as well as anyone: the need for fast transformations drives amazing flexibility and innovation, which is why we took Perform Hands-on Training (HOT) virtual for 2021. Here’s what’s new this year, and how you can get a front-row seat in our virtual classroom. More flexibility, more options. The Dynatrace University Team.

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What programming languages does HammerDB use and why does it matter?

HammerDB

HammerDB is a load testing and benchmarking application for relational databases. However, it is crucial that the benchmarking application does not have inherent bottlenecks that artificially limits the scalability of the database. Basic Benchmarking Concepts. To benchmark a database we introduce the concept of a Virtual User.

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HammerDB for Managers

HammerDB

HammerDB is a software application for database benchmarking. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here.

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HammerDB v4.3 New Features Pt1: Graphical Metrics for PostgreSQL

HammerDB

This enables the user to compare and contrast performance across different benchmark scenarios. The example shows a TPROC-C workload running with 4 Active Virtual Users. The example has a configuration set to illustrate a number of wait events and has therefore not been configured for performance. Metrics view for benchmark.

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