PgConf.Russia 2019

1. Principles of searching for troublesome queries in PostgreSQL.
2. Evaluation of hypothetical indexes and their impact on query plans.
3. The most common errors in 1C-programming.
4. Basic methods of code refactoring, taking into account the features of PostgreSQL.
5. Storing analytical information from the PostgreSQL log to assess the quality of refactoring

My talk will be about different cases of usage and setup of the standby server; examples how to setup standby linked to your archive( to make an opportunity to recreate standby from archive after primary crashing and promoting your old standby); Avito experience of usage of standby server for read-only queries: problems and solutions; monitoring of standby.

Stop paying for Larry’s boat!

PostgreSQL is a fully-featured, enterprise-grade and open source database, named two years in a row database of the year! And it’s also the best candidate to migrate off of Oracle, supporting very advanced SQL, easy administration and pl/pgsql, a replacement for Oracle’s PL/SQL. Stop spending hundreds of thousands or millions of $ on database licenses and reinvest them in your team, infrastructure and software.

Join this half-day tutorial to learn the best practices, tricks and tools to perform a successful Oracle to PostgreSQL migration. Learn from the team that performed 150M users Blackberry migration to PostgreSQL on GCP with near-zero downtime, and the key author behind orafce, a set of Oracle compatible functions on top of PostgreSQL.

It's so good when database behaves predictable. When the performance is lacking, you just add CPU cores, terabytes of RAM and millions of IOPS, and everything becomes good again. But it's rather unpleasant, when server have plenty of free resources, while database is still running slow. And it's especially sad if stress testing detects no problems, while real life workload of the same volume makes your database hang.

In this talk I will consider bottlenecks of PostgreSQL, which we met in our practice, and which causes sad behavior described above. I'll also explain what can be done at user level in order to evade these bottlenecks, and what developers are planning to do in order to eliminate those bottlenecks. I'm also planning give some recipes of stress testing, which could have to evade surprises in production.