pgBadger v12.0 released

Antananarivo, Madagascar - September 13th, 2022

pgbadger v12.0

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

pgBadger 12.0 was released today, this is a major release that fixes issues reported by users during last five months with some improvements:

• Remove support to Tsung output.
• Improve pgbadger performances when there are hundred of bind parameters to replace.
• Remove option -n | --nohighlight which is no more used since upgrade to pgFormatter 4.
• Use POST method to send auto_explain plan to explain.depesz.com to avoid GET length parameter limit.
• Apply --exclude-query and --include-query to bind/parse traces.
• Add link to pgBadger report examples to documentation.

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

Links & Credits

Thank to the developers who submitted patches and users who reported bugs and feature requests, they are all cited in 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: https://github.com/darold/pgbadger/releases/
• 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. http://www.postgresql.org/support/professional_support

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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/