pgBadger v11.8 released

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](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(at)darold(dot)net(dot)

Links :

* Download: [http://pgbadger.darold.net/](http://pgbadger.darold.net/)
* Support: use GitHub report tool at [https://github.com/darold/pgbadger/issues](https://github.com/darold/pgbadger/issues)
or contact pgbadger(at)darold(dot)net(dot)

For a complete list of commercial support near of your place take a look
at the [PostgreSQL Professional Services](http://www.postgresql.org/support/professional_support) 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/](http://pgbadger.darold.net/)