pgbadger
minion
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pgbadger | minion | |
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6 | 2 | |
3,373 | 222 | |
- | 0.5% | |
7.9 | 6.4 | |
about 2 months ago | about 1 month ago | |
Perl | Perl | |
PostgreSQL License | Artistic License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pgbadger
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Site down due hosted on digitalocean
It might also help to use pgbadger or something similar to process your postgres logs and see whether some event is aligned with your outages.
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SQL: 2023 Has Been Released
Interestingly, when a place does get to the point where the single instance has capacity issues (after upgrading to EPYC and lots of flash drives) then other non-obvious stuff shows up too.
For example, at one place just over a year ago they were well into this territory. One of weird problems for them was with pgBadger's memory usage (https://github.com/darold/pgbadger). That's written in perl, which doesn't seem to go garbage collection well. So even on a reporting node with a few hundred GB's of ram, it could take more than 24 hours to do a "monthly" reporting run.
There wasn't a solution in place at the time I left, so they're probably still having the issue... ;)
- Moving from Oracle to Postgres, what should I know?
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What are the top 3 most useful things that you have hosted over the years?
First of all I used a profiler (pgbadger and netdata) to figure out where the lags were coming from. I then tried the usual stuff (increasing shared_buffers, max_wal_size, min_wal_size from their ultra low defaults), but the biggest performance gain came from moving the database from eMMC to a mechanical hard drive :-D
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Best way to find queries that might benefit from indexes.
Look into PgBadger (a log parser/analyser): https://github.com/darold/pgbadger
minion
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Managing a Test Database
What finally drove me over the edge was writing some code for a client using the Minion job queue. The queue is solid, but it creates new database connections, thus ensuring that it canโt see anything in your database transactions. I figured out a (hackish) solution, but I was tired of hackish solutions.
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High Priority Fast Lane for the Minion Job Queue
Since Minion relies on PostrgeSQL the actual implementation was very simple. Just a few lines of Perl to spawn spare processes and one small change in the SQL query used to dequeue jobs.
What are some alternatives?
pgaudit_analyze - PostgreSQL Audit Analyzer
LANraragi - Web application for archival and reading of manga/doujinshi. Lightweight and Docker-ready for NAS/servers.
Mailcow - mailcow: dockerized - ๐ฎ + ๐ = ๐
postgresqltuner - Simple script to analyse your PostgreSQL database configuration, and give tuning advice
Yancy - The Best Web Framework Deserves the Best Content Management System
Octopussy - Octopussy - Open Source Log Management Solution
MirrorCache - Download Redirector
apache2buddy - apache2buddy
pg_wait_sampling - Sampling based statistics of wait events
mojo - :sparkles: Mojolicious - Perl real-time web framework