PGConf.SPB 2023

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

A story about practical approaches and tools for automating migration using 2 examples: a database with a structure change in the new version and a database with a significant content of the application's business logic.

We will answer the questions about the importance of compression in backup process. Will show a demo how to use the following available algorithms: pglz, zlib, zstd, lz4 in different editions of pg_probackup. We'll show you how to make incremental backups and restore even faster with PTRACK and CFS (tablespace compression) in Postgres Pro. The plans for further development will also be announced.

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.