PgConf.Russia 2017

Sets are apparently a useful data type for many kinds of applications. While PostgreSQL offers no built-in set data type, sets may be emulated to some degree with its built-in array and JSONB data types. Also, acceleration of respective containment (subset) queries is readily available as a built-in feature of the GIN index type.

Starting with the above, we will then explore the performance gains enabled by custom set data types, and especially by customisation code in C ("operator classes") for the GIN and GiST index types.

This tutorial shows how to properly monitor PostgreSQL. We will discuss the mamonsu utility, see how to configure it, examine its hidden features and learn how to extend them.

Often it is enforced by the customer or even by law, to document the circumstances of the production of parts or lots. This talk is about the automated generation and storage of the corresponding administrative data and their correlation to measurements. Administrative data are entities like suppliers batch, article, serial number or production date. They are often to be exchanged with ERP systems.

Modern state of backup tools for PostgreSQL certainly leaves some room for improvements. Standard utilities provides only basic functionality, third-party tools solve some, but not all, problems. To take backups reliably, fast, and incrementally on page level, one needs not only a backup tool, but also some support from the database server. On this tutorial we will talk about our new backup and recovery manager ProBackup, and will show it in action.

Demonstration script:

• pg_probackup_script.txt