PGConf.SPB 2023

Fuzzing research is feeding random input data to a program (or a part of it) (in fact, randomness is very conditional) and seeing what we get out of it. And we repeat it many times on many processors.

Fuzzing a large monolithic program complex is never a simple task. It requires extraordinary solutions. In this talk, I will tell you what and how we searched with the help of fuzzing and what results it led to.

• Investigation of data type parsing functions (input-functions): for warming up;
• Investigation of functions implementing operations between types (op-functions): it is better to consider the structure here;
• Network subsystem fuzzing: let's pretend we are POSIX calls, it's cheaper that way;
• Recovering disk context: we need Groundhog Day.

A story about funny bugs and ridiculous hand gestures will be included.

Backup is still a stumbling block when migrating to PostgreSQL from other DBMSs. Its size directly depends on your experience and knowledge about the types of backups in PostgreSQL. In this talk, I will tell you about different types of backups, their pros and cons, and scenarios for using each type.

I have been working with 1C on PostgreSQL for 6 years, and the DBMS has changed significantly since I started. In this presentation, I'm going to cover the progress it has made. The users will, just as always, claim that this is not enough. So in addition to milestones and achievements, I'll tackle the possible feature requests from the maintenance viewpoint and explain some workarounds.

In this brief overview presentation we will discuss Postgres Pro Enterprise Manager (PPEM) capabilities, and how it helps DBAs to be more productive.