Перепланирование безнадежных запросов в реальном времени
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.
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45 минIIvan Chuvashov SoftSwiss
А давайте рассмотрим ваши таблицы под микроскопом
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45 мин
Nikolai Shaplov Postgres ProfessionalFuzzing-исследование PostgreSQL. Как мы искали и что мы нашли
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.
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45 минAAnton Doroshkevich ИнфоСофт
Всё работает! Что вам ещё надо?
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.