PGConf.Russia 2022

As opposed to in-memory DBMSs, traditional disc database management systems have an inherent physical limitation. It's their storage system which is by several orders of magnitude slower than CPU operation memory, even in the case of All-Flash NVM. It becomes especially critical for the development of business analytics apps and OLAP scenarios on disc DBMS. We will consider a number how-tos for improving the performance of traditional DBMSs, and then offer a new storage-centric approach to hardware-based speed-up for disc DBMSs.

I am going to explain a sorting method added in Postgres 14 that allows to create GiST index much faster. We'll also talk about the disadvantages of this sorting method discovered during implementation of its support in PostGIS and how it will be improved in the future. Also, new features and improvements included in PostGIS 3.2 will be reviewed.

Replication is one of the important mechanisms designed to provide database fault tolerance and scalability. In our practice, we regularly encounter the problem of low replication performance. This prompted us to investigate the factors that affect the speed of physical replication. In this presentation, I will talk about our findings. I will also demonstrate the differences in replication performance for various versions of PostgreSQL.

Implementation of ETL is one of the first tasks that any PostgreSQL user needs to solve. There is a misconception that low-code tools implementing ETL procedures reduce requirements for the user, but due to sacrificing performance and/or flexibility to this goal. The presentation will demonstrate that it is possible to design ETL procedures quickly and easily without losing productivity. We will explain how high speed is ensured, how PostgreSQL features are used and how the combination of PostgreSQL and low-code platforms allows you to get rid of one of the most frequent user pains.