PgConf.Russia 2020

Tracking poor queries is an infinity quest for developers, who works with databases. Often we think that it is guilty the slow and big queries. But what to do if we do not have that kind of queries between backend and database? Which kind of queries should we looking for? What tools should be used for that work? This talk will cover all these questions.

In this tutorial, we will solve several programming problems using JSON functionality that extends SQL capabilities and virtually turns a relational database into an almost ready-to-use application server. :)
We will learn how to use aggregates, both standard and custom, as well as review possible benefits of JSON recursive structure.

Last year I made a talk about unexpected PostgreSQL bottlenecks, which could make sad surprise to user (or DBA). Feedback to my talk was very positive. Additionally I have new material after year. This is why I'm making a sequel including new unexpected situations when your database hangs. This time focus will be on multicore hardware platforms, but not only them.

Porting applications from Oracle to Postgres is common work today. Unfortunately it is not without problems. In presentation I'll try to show the basic performance problems related to differences between Oracle and Postgres and PL/SQL and PL/pgSQL.