Как я перестал беспокоиться и перенес 60K строк из 150 процедур PL/SQL в Postgres.

В докладе рассказывается об опыте переноса серверного приложения, работающего на полигоне железных дорог от Калининграда до Хабаровска, с Oracle 11g Standard Edition на ванильный PostgreSQL 11.5.
На момент начала миграции база данных насчитывала порядка 200 хранимых процедур на языке Oracle PL/SQL общим объемом порядка 60000 строк (которые создавались с 2006 года, т.е. уже более 12 лет), около 250 таблиц и 50 Гбайт данных.
Доклад содержит описание сопровождавших этот процесс приключений, приятных и неприятных открытий, а также пролог, эпилог и хэппи-энд.

Повествование ведется от лица пользователя Oracle, открывающего для себя Postgres.

Kubernetes crash course for Postgres DBAs

Kubernetes is the new way of deploying software, programmatically, on almost any infrastructure (be it cloud or on-prem). But is a complex beast. How to get started? How to dive deeper? What are the specific best-practices and special hints for Postgres DBAs dealing with Kubernetes? Join this half-day tutorial to learn, practically, among other topics:

• How to quickly get started with Kubernetes
• Manage storage
• Manage services, networking and ingress/egress
• How to make Postgres cloud-native in Kubernetes
• Do a show-run of existing Postgres operators, including Zalando, CrunchyData and StackGres.

This tutorial is very practical. BYOL! (Bring Your Own Laptop). With Kubernetes installed! (check microk8s, minikube or k3s if you don’t have any installed.

The possibilities of profiling plpgsql code - available tools

I like stored procedures - it is great technology. But like any other technologies it allows to write not well optimized code. It is not easy to write optimized code, sql statements in complex large applications. On second hand, there are some tools, that can be used very easily, that can help. Postgres has built-in tracking functions possibility. There are PLProfiler and plpgsql_check. With these tools is easy work to detect slow part of applications.With this knowledge, the fix of performance issue is less magic.

MobilityDB: Managing Mobility Data in PostgreSQL

MobilityDB is an open source moving object database system (https://github.com/ULB-CoDE-WIT/MobilityDB). Its core function is to efficiently store and query mobility tracks, such as vehicle GPS trajectories. It implements the Moving Features specification from the Open Geospatial Consortium (OGC). MobiltyDB is engineered up from PostgreSQL and PostGIS, providing spatiotemporal data management via SQL. It thus integrates with the postgreSQL eco-system allowing for complex architectures such as mobility stream processing and cloud deployments.

The presentation will explain the architecture of MobilityDB, its database types, indexes, and operations. We will highlight the PostgreSQL features that enable this extension, and the would like to have features. This presentation will be of special interest to the PostgreSQL community, and to professionals in the transportation domain.