Talks
Talks archive
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Boris Pischik PostgresPro
Aleksandr Kotin PostgresProWe will present adaptive query optimization techniques and key capabilities of the new version of AQO and SR_PLAN extensions.
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Юрий Темкин CyberProtect
Ivan Belinsky CyberProtectAn 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.
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Nikolai Shaplov PostgresProFuzzing 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.
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Alexandr Burtsev Postgres Professional
Sof'ya Kopikova PostgresPro
Darya Lepikhova PostgresProWe 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.
Photos
Photo archive