PGConf.SPB 2023

An important aspect of PostgreSQL database security and reliability is backup practices. The talk will reveal the main techniques and methods used to protect data, prevent loss and successfully recover information in case of human error, failures or emergencies. We will tell how CyberBackup helps to protect PostgreSQL, including configuration in Patroni cluster: we will consider system deployment options, important aspects of backup policy configuration, including full and incremental backups. We will also show how to easily work with backups via mount and do granular restores.

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.

We will present adaptive query optimization techniques and key capabilities of the new version of AQO and SR_PLAN extensions.

During the years of its existence, Postgres Pro piled up a pool of problems when query execution was inappropriately slow or a query was too expensive to be executed, so it was never executed. Almost always in our practice, this was due to the choice of a non-optimal query plan. In our story, we will talk about a very unconventional attempt to solve this problem by re-planning queries. We will tell you what it is, how it works, who will find it helpful and the prospects for using this feature.