PgConf.Russia 2020

To build a decent query plan, the optimizer has to understand statistical characteristics of underlying data. It is interesting to observe how the structure of the collected information became more complicated over time: what the optimizer relied on back in its early days and what is at his disposal now with the release of the 12th version. We will also talk about how and when statistics are collected, how to manage this process and whether it is necessary to think about it at all.

In May 2019 «Postgres Professional» launched the PostgreSQL Certification Program. Now you can not only get training in our courses, but also confirm your knowledge by passing an appropriate set of tests.

In this presentation, I will share the results of the first months of the program and answer the most frequently asked questions:

Where can I get information about the certification program?
PostgreSQL or Postgres Pro certification?
Certificates for PostgreSQL version 10. When will you upgrade to the current version?
Do I have to attend training centers?
Can I pass the test remotely? Not in Moscow?
Is it possible to take several tests at once in one day?
How to prepare for the test? Are there any examples of training questions?
During the test I got an incorrect question, what should I do?
How to find out exactly which questions the answers were not correct?
When can I retake after an unsuccessful attempt?
How to appeal the test results? 

Postgres has always had strong support for relational storage. However, there are many cases where relational storage is either inefficient or overly restrictive. This talk shows the many ways that Postgres has expanded to support non-relational storage, specifically the ability to store and index multiple values, even unrelated ones, in a single database field. Such storage allows for greater efficiency and access simplicity, and can also avoid the negatives of entity-attribute-value (eav) storage. The talk will cover many examples of multiple-value-per-field storage, including arrays, range types, geometry, full text search, xml, json, and records.

I will speak about our experience in solving the fault-tolerance problem for PostgreSQL, which options we reviewed and how we chose Patroni.

I will cover solution testing, quick implementation to the production and issues we faced as well as the way we solved them.