Grenoble, France - April 8th, 2022

pgBadger

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

pgBadger 11.8 was released today, this release of pgBadger fixes some issues reported by users since past three months and especially two fixes on new log entries detection in incremental mode.

• Fix detection of new log entries with timestamp when millisecond (%m) or epoch (%n) was used in log_line_prefix.
• Fix detection of new log entries in local file when multiprocess was not used.
• Handle queryid %Q placeholder.

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.

Links :

• Download: http://pgbadger.darold.net/
• Support: use GitHub report tool at https://github.com/darold/pgbadger/issues or contact 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/