pgBadger v11.4 released

Posted on 2020-11-24 by Gilles Darold
Related Open Source

Grenoble, France - November 24th, 2020

pgBadger

pgBadger is a PostgreSQL performance analyzer, built for speed with fully detailed reports based on your PostgreSQL log files.


pgBadger 11.4 was released today, this release of pgBadger improve the support for PostgreSQL 13 new log information, fixes some issues reported by users since past four months and adds some new reports:

  • Add new report about checkpoint starting causes with a chart.
  • Add full automatic vacuum information in "Vacuums per table" report for buffer usage (hits, missed, dirtied), skipped due to pins, skipped frozen and WAL usage (records, full page images, bytes). In report "Tuples removed per table" additional autovacuum information are tuples remaining, tuples not yet removable and pages remaining. These information are only available on the "Table" tab.
  • Add detection of application name from connection authorized traces.
  • Add support to new placeholder '%b' in log_line_prefix.

For the complete list of changes, please checkout the release note on https://github.com/darold/pgbadger/blob/master/ChangeLog

Links & Credits

I would like to thank all users who submitted patches and users who reported bugs and feature requests, they are all cited the ChangeLog file.

pgBadger is an open project. Any contribution to build a better tool is welcome. You just have to send your ideas, features requests or patches using the GitHub tools or directly to pgbadger@darold.net.



For a complete list of commercial support near of your place take a look at the PostgreSQL Professional Services page, they all do great job and most of them can help you.

About pgBadger

pgBagder is a new generation log analyzer for PostgreSQL, created by Gilles Darold (also author of ora2pg, the powerful migration tool). pgBadger is a fast and easy tool to analyze your SQL traffic and create HTML5 reports with dynamics graphs. pgBadger is the perfect tool to understand the behavior of your PostgreSQL servers and identify which SQL queries need to be optimized.


Docs, Download & Demo at http://pgbadger.darold.net/