PgConf.Russia 2020
PGConf.Russia – международная техническая конференция по открытой СУБД PostgreSQL, ежегодно собирающая более 700 разработчиков, администраторов баз данных и IT-менеджеров для обмена опытом и профессионального общения. В программе – мастер-классы ведущих мировых экспертов, доклады в три тематических потока, примеры лучшего опыта и разбор ошибок, блиц-доклады из зала.
Темы встречи
- PostgreSQL на переднем крае: большие данные, интернет вещей, блокчейн
- новое в PostgreSQL и вокруг: развитие PostgreSQL и его экосистемы
- PostgreSQL в реальных системах: архитектура, миграция, эксплуатация
- Использование PostgreSQL в платформе 1С
- PostgreSQL в геоинформационных системах (GIS)
Доклады
Архив докладов
-
Christopher Travers DeliveryHero SE Principle EngineerPostgreSQL is one of the most readily extensible databases in the world. Custom data types, aggregations, functions, and more can be easily and safely written in C.
This hands-on tutorial covers the basics of writing functions, data types, and aggregates in C. It is recommended (though not strictly required) that bring their own laptops and be prepared to actually try the exercises.
Topics covered include: 1. The PostgreSQL type system 2. Creating a simple custom type in C 3. Common errors for non-C programmers 4. Creating a simple aggregate in C
There will be many opportunities for questions and discussion through the tutorial.
-
Heikki Linnakangas Pivotal PostgreSQL hackerWalk-through of extending PostgreSQL with a user-defined type. The journey begins from the basics, from creating simple domain types over existing types, and continues to implementing a full-blown datatype from scratch in C.
PostgreSQL's advanced index types, GiST, GIN, and SP-GiST, are covered in enough detail to give an understanding of what each of them is good for. Support functions for each of them are shown for the example 'color' datatype.
-
Брюс Момжиан EnterpriseDB Senior Database ArchitectPostgres 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.
-
Федор Сигаев Postgres Professional технический директор, ведущий разработчик PostgreSQLРассказ об основных фичах, отличающих Enterprise-версию Postgres Pro, представленный их разработчиком.
Фотографии
Архив фотографий