PGConf.Russia 2021

I will not teach you database design or query optimization. This talk will cover Python drivers, PostgreSQL usage in Python, and various tools from sync and async world enabling such usage, and how this ecosystem evolved. We'll discuss Python libraries including aiopg, psycopg2, asyncpg, pgbouncer and how they interact with Postgres.

Everyone knows very well what a failover cluster PostgreSQL is and how such a cluster protects against failures within the same data center. However, recently, more and more enterprises have placed increased demands on their services, these requirements include disaster tolerance. We call such clusters a GEO-Cluster (KUK). In the report, I will talk about the varieties, principles and approaches to building GEO-Clusters PostgreSQL based on the Corosync/Pacemaker cluster software.

When PostgreSQL was at its formation stage, its transaction ID was chosen to be 32-bit. Back then, no one could imagine that someday we may need more than 4 billion transactions. However, ongoing technical progress and digitization pushed some Postgres instances towards their transaction ID limit. The Postgres community reacted to this with a wraparound of the transaction ID counter. However, constantly growing data volumes exposed PostgreSQL to new challenges. In my presentation, I will cover these challenges and explain how they can be solved with a 64-bit transaction ID, what the consequences will be like, why now it is a good time to implement 64x IDs, and why this hasn't been done previously.

In this presentation, we'll reveal the process and peculiarities of our Oracle to PostgreSQL migration project. We have moved our ELDOKA corporate ECM platform to PostgreSQL, and during this talk we will explain how we ensured object-based and role-based access to data, which features were missing in the community-developed PostgreSQL, how we organized our work with spatial data and changed approach to storing our file content. We will also share our experience in time and resource savings, as well as data replication between our nodes. Performance test results will also be shared with the audience.