PgConf.Russia 2017

Database systems are increasing in size and so is the need to process huge amounts of data in real time. As commercial database vendors are bragging about their capabilities we decided to push PostgreSQL to the next level and exceed 1 billion rows per second to show what we can do with Open Source. To those who need even more: 1 billion rows is by far not the limit - a lot more is possible. Watch and see how we did it.

VIDEO

This report overviews some ideas and implementations to speedup different parts of generalized search trees (GiST): 1. Intrapage indexing 2. Fractal tree technology 3. Modern algorithms for spatial indexing (RR*-tree) 4.. Possible advancements of GiST API

VIDEO

It often happens that you already have PosgtreSQL in production, but you don’t have a DBA. To demystify the PostgreSQL database, I’ll tell you how to troubleshoot various problems while working with PosgtreSQL. We will try to understand how to answer "routine" questions of a typical system administrator: - Is everything OK with the database? - What consumes DB server resources? - What to optimize first to reduce resource consumption?

VIDEO

1. Why is it time to consider switching to PostgreSQL?
2. 1С and PostgreSQL interoperability.
3. Why should we start with Windows?
4. The first experience of migrating big enough 1С databases to Postgres.
5. Large-scale projects on high-load systems, in figures.