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You're reading from  Developing Modern Database Applications with PostgreSQL

Product typeBook
Published inAug 2021
PublisherPackt
ISBN-139781838648145
Edition1st Edition
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Authors (2):
Dr. Quan Ha Le
Dr. Quan Ha Le
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Dr. Quan Ha Le

Dr. Quan Ha Le graduated with a Ph.D. in computer science from the Queen's University of Belfast, United Kingdom, in 2005. Since his Ph.D. graduation, he has been working as a PostgreSQL database administrator all over Alberta and Ontario, Canada, until now. From 2008 to 2019, Dr. Le Quan Ha administered, designed, and developed 24 small, medium, large, and huge PostgreSQL databases in Canada. Since 2016, after writing a good publication on PostgreSQL database clusters on clouds, he has been a member of the United States PostgreSQL Association (PgUS) in New York City. Dr. Le Quan Ha has also been a board member of the PgUS Diversity committee since 2018.
Read more about Dr. Quan Ha Le

Marcelo Diaz
Marcelo Diaz
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Marcelo Diaz

Marcelo Diaz is a software engineer with more than 15 years of experience, with a special focus on PostgreSQL. He is passionate about open source software and has promoted its application in critical and high-demand environments where he has worked as a software developer and consultant for both private and public companies. He currently works very happily at Cybertec and as a technical reviewer for Packt Publishing. He enjoys spending his leisure time with his daughter, Malvina, and his wife, Romina. He also likes playing football.
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How to benchmark PostgreSQL performance

We usually have to benchmark our PostgreSQL database to make sure that before we deliver our products for customers, the capability of the PostgreSQL database will be able to cover the expected traffic loads in production. 

Benchmarks are super important in our initial implementation stage since we can estimate and answer questions such as the following:

  • How many users can we support?
  • What response time will we have at peak usage time?
  • Will the storage space have enough capacity?
  • Will the current hardware meet expectations?

Based on the answers that we obtain, we can adjust tuning parameters in PostgreSQL and at the same time, estimate what hardware we will need in the future.

Having said all that, one of the common ways to benchmark PostgreSQL is through two typical tools:

  • pgbench, a built-in benchmarking tool of PostgreSQL 
  • Apache JMeter software, a tool designed to load test functional behavior and measure performance...
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Developing Modern Database Applications with PostgreSQL
Published in: Aug 2021Publisher: PacktISBN-13: 9781838648145

Authors (2)

author image
Dr. Quan Ha Le

Dr. Quan Ha Le graduated with a Ph.D. in computer science from the Queen's University of Belfast, United Kingdom, in 2005. Since his Ph.D. graduation, he has been working as a PostgreSQL database administrator all over Alberta and Ontario, Canada, until now. From 2008 to 2019, Dr. Le Quan Ha administered, designed, and developed 24 small, medium, large, and huge PostgreSQL databases in Canada. Since 2016, after writing a good publication on PostgreSQL database clusters on clouds, he has been a member of the United States PostgreSQL Association (PgUS) in New York City. Dr. Le Quan Ha has also been a board member of the PgUS Diversity committee since 2018.
Read more about Dr. Quan Ha Le

author image
Marcelo Diaz

Marcelo Diaz is a software engineer with more than 15 years of experience, with a special focus on PostgreSQL. He is passionate about open source software and has promoted its application in critical and high-demand environments where he has worked as a software developer and consultant for both private and public companies. He currently works very happily at Cybertec and as a technical reviewer for Packt Publishing. He enjoys spending his leisure time with his daughter, Malvina, and his wife, Romina. He also likes playing football.
Read more about Marcelo Diaz