pgBadger v13.1 released
pgBadger is a PostgreSQL performance analyzer, built for speed with fully detailed reports based on your PostgreSQL log files.
pgBadger 13.1 was released today, this release fixes issues reported by users since last release and adds some new features:
- Add new report about vacuum throughput with a graph about vacuum per table that consume the more CPU. The table output reports I/O timing read and write per table as well as the CPU time elapsed on the table. This patch also adds frozen pages and tuples to the Vacuums per Table report.
- Add --no-fork option for debugging purpose to not fork processes at all.
- Add millisecond to the raw csv output.
- Add log filename to sample reports when multiple file are processed.
For the complete list of changes, please checkout the release note on https://github.com/darold/pgbadger/releases
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/
A new version of pgBadger, a PostgreSQL performance analyzer, has been released. This update addresses user-reported issues and introduces new features, including a report on vacuum throughput, an enhanced debugging option, milliseconds in raw CSV output, and log filenames in sample reports. The tool is an open project, and we invite contributions from all interested parties. Gilles Darold, the creator of ora2pg, developed pgBadger to analyze SQL traffic and generate HTML5 reports featuring dynamic graphs. This tool enables users to gain insights into the performance of their PostgreSQL servers and pinpoint queries that require optimization.
