Оптимизация запросов к данным типа “множество” с помощью индексов GIN, GiST, и пользовательских расширений для индексирования

Sets are apparently a useful data type for many kinds of applications. While PostgreSQL offers no built-in set data type, sets may be emulated to some degree with its built-in array and JSONB data types. Also, acceleration of respective containment (subset) queries is readily available as a built-in feature of the GIN index type.

Starting with the above, we will then explore the performance gains enabled by custom set data types, and especially by customisation code in C ("operator classes") for the GIN and GiST index types.

Отказоустойчивый PostgreSQL кластер с Patroni

In the modern world, an increasing number of IT companies are moving their resources to the cloud and Zalando is not an exception. A rapid growth our company is experiencing along with an adoption of microservices were the main driving forces behind the changes introduced into the deployment procedure of new PostgreSQL clusters and the solution of the automatic failover problem. The majority of existing solutions for automatic failover require manual configuration of every cluster instance and complicates provisioning new clusters and new nodes into existing cluster.

Опыт использования PostgreSQL в проектах UIS, CoMagic

Using PostgreSQL since 2003, we went all the way from a database of a couple of GB to a cluster of more than 5TB. At the moment, we have more than 700 tables and about 1500 stored procedures. We are ready to share with you the following: - Problems encountered at different development stages and how we resolved them. - Best practices in database administration. - Our own extension to work with several closely related databases. - Best known methods and tools that enable our several teams to work together without interference. - How we set up test equipment of different types. And, of course, we'll talk about optimization, and how we identify bottlenecks and high-load use cases.

VIDEO

Мониторинг PostgreSQL в Авито, с примерами

A short talk about collecting data and monitoring database workload in Avito. Exporting metrics from stored procedures to Graphite. Collecting and visualizing pg_stat* metrics in Grafana. Case studies.

VIDEO