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jfcoz
postgresqltuner
Perl2019–2025
jfcoz / postgresqltuner

postgresqltuner

Simple script to analyse your PostgreSQL database configuration, and give tuning advice

6Distinct people
10Mentions
0Explicit recommenders
2.7KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Simple script to analyse your PostgreSQL database configuration, and give tuning advice

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 1:49:46 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year10 dated mentions

Observed mentions: 2019-03-18 16:43:45 UTC to 2025-04-18 01:38:19 UTC.

0123452019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 5 mentions; 1 submissions, 4 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20222023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC514
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC202
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC101
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC110
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC101

What Hacker News says

10 sources
Interesting read, but I find it very lacking. PGSQL memory consists of lots of parts; shared_buffers, work_mem, maintenance_work_men, OS Cache size, etc. For those who are interested in a deeper Postgresql tuning tutorial, I suggest this[1] as it highlights a number of important tuning options - specifically for PGSQL 17. Once your DB has been running for a while, run the postgresql-tuner app[2] to see if you have correctly applied RAM settings[2]. The repo has been around for a long time, but I find the recommendations (especially the estimated RAM usage) really good. [1] https://www.pgedge.com/blog/postgresql-performance-tuning [2] https://github.com/jfcoz/postgresqltuner
In Memory Size Matters to PostgreSQL
I am not a DBA but I work with many of them. Most of the DBA's I currently work with have/had Oracle experience, but they are currently supporting MySQL. Some of them also know Postgres. There will always be a need for database engineers and architects. Even knowing how to optimize queries can be quite valuable to a company. Already being an Oracle DBA it should be rather easy for her to pick up the open source databases and widen her career opportunities. IIRC there are even blogs where former Oracle DBA's wrote how-to's that summarize command equivalents for Oracle -> MySQL and Oracle -> Postgres so that if you already know one, you can see the equivalent commands in the corresponding technologies. As a side note, there are also some git repos that have optimizing scripts for MySQL and Postgres that may also help her learn some of
Read the rest
the memory management differences in the other technologies. [1][2] These tools are not perfect, but may be informative. [1] - https://github.com/jfcoz/postgresqltuner [2] - https://github.com/major/MySQLTuner-perl
In Ask HN: What is the future for Oracle DBAs?

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