Thursday August 22, 2024, Meetup: Benchmarking with Benchbase

From: Mark Wong <markwkm(at)gmail(dot)com>
To: pdxpug(at)lists(dot)postgresql(dot)org
Subject: Thursday August 22, 2024, Meetup: Benchmarking with Benchbase
Date: 2024-08-14 23:01:52
Message-ID: c5448185-ba0c-48ae-8fd7-f0036afda45f@gmail.com
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Thursday August 22, 2024, at 6:30pm-8:30pm

Benchmarking with Benchbase

Please RSVP in MeetUp if you can so we can get a head count:
https://www.meetup.com/pdxpug/events/302834998/

Location:

American Red Cross
3131 N Vancouver Ave, Portland, OR 97227

Parking is available in front of the building. Please be prepared to
show ID and sign in with security when entering the building for the
"PDXPUG" meeting. We will be in the Columbia Room on the second floor.

Details:

Speaker: Paul Jungwirth

Benchmarking is an important part of developing database systems like
Postgres. For businesses, benchmarking can guide important decisions
around selecting a database management system, or evaluate configuration
changes. However, while there are many standard benchmarks out there,
setting up, configuring, running, and collecting results was left as an
exercise to the reader.

Benchbase is an open-source benchmarking framework from Carnegie Melon
University’s Database Group (https://github.com/cmu-db/benchbase) It
helps you configure, run, and collect results from various standard
benchmarks. It also provides a framework for authoring your own
performance benchmarks, and wiring it up to the batteries-included
configuration, running, and results collection provided by it.

Paul is going to walk us through Benchbase, and some recent work he has
embarked on around creating a benchmark. If you are a veteran of
benchmarking, or have never done a benchmark before, this talk is for
everyone.

Now a bit about Paul. He’s a freelance software developer here in
Portland, and has been building applications with Postgres since 2011.
Paul has been working on the Postgres project itself. He’s authored many
database extensions, and his contributions to Postgres include work on
GiST indexes, multiranges, and SQL:2011 application-time features.

--
Mark Wong
EDB https://enterprisedb.com

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