PgConf.Russia 2016

PostgreSQL includes several index types: GiST, SP-GiST, GIN, and of course, the regular B-tree. DBAs are familiar with using each of these for specific use cases, GIN for full-text search, GiST for geometrical data, and so on, but how do they work internally? What makes them suitable for the cases they're typically used for?

In this presentation, I will walk through the internal structure of each of these index types, explaining what strengths and weaknesses each one of them have.

The talk will be articulated around all the traditional arguments to "how chose PostgreSQL over other choices in the database domain"... But also, and that's quite new in the comunity, what are the consequences of this choice. Because the PostgreSQL adoption brings adoption of other things like Linux, but also, Open Source thinking, the fast pace of PostgreSQL will command new methods of validation the company must adapt to... etc.

• First aquaintance
• Fight with replication
• Partitioning and migration
• Cross data-center use
• v8, json, jsonb, jsquery
• Version upgrade