Как ускорить загрузку данных в 10 000 раз?

What can be more important in the data load process than speed? Data migration is one of the most requested features in DBeaver. So the performance issue was highly important for us, in regard to PostgreSQL, as well as Greenplum, Redshift and other Postgres-based databases. We are ready to share our tiny secrets about 10x, 100x, 1000x, and even 10,000x performance improvements for data imports without any magic.

ПУР КС - подсистема “Электронного бюджета” Федерального казначейства РФ, реализованная на полностью импортозамещённом ПО

Creation of a completely import-substituted component of the state information system using the example of the PUR KS - the "Electronic Budget" subsystem, the key state integrated information system for managing public finances. The presentation presents the subsystem architecture, performance optimization history and monitoring description. The speaker will talk about the advantages and difficulties of using an import-substituted system for the public sector, as well as about the nuances that departments should take into account when implementing open source solutions and solutions from Russian developers.

Что нам стоит КУК построить

Everyone knows very well what a failover cluster PostgreSQL is and how such a cluster protects against failures within the same data center. However, recently, more and more enterprises have placed increased demands on their services, these requirements include disaster tolerance. We call such clusters a GEO-Cluster (KUK). In the report, I will talk about the varieties, principles and approaches to building GEO-Clusters PostgreSQL based on the Corosync/Pacemaker cluster software.

Plv8 Framework: разработка на plv8 в IDE, с ES6, отладкой, автотестами и деплоем

Many application developers prefer not to have logic on the DB side (in functions) as there are no suitable software development tools, especially for development teams. In the plv8 case, the situation worsens as this function contains both SQL and JavaScript code, and popular IDEs have no support for such a symbiosis. At this tutorial, I will introduce my development named "Plv8 Framework", which considerably simplifies the creation of code on plv8.

The gist is as follows: the JS code that is executed on the DB side can run on the developer's local computer by using node.js, which works on the same v8 interpreter. The plv8.execute special function is replaced by a function from the pg-native npm library, which calls the outer DBMS. I will demonstrate a set of tools chosen by me that enables the following:
- writing JS code in the IDE you prefer and enjoy syntax highlight;
- code debugging in real time (with breakpoint, watch, etc.);
- writing of auto-tests (unit-tests), with a variety of options: Postgres, SQLite, mocks;
- deploying your code in the DBMS;
- usage of additional npm packages (the issue is that all code of the plv8-based function should be included in the function's body, in one file).

You can use this tool regardless of the programming language that you use for the backend. However, it becomes more flexible if you use languages with static typing (like Java, C#, etc.). For the tasks where the backend is an intermediate layer between the frontend and DBMS, logic (or its part) can be placed in plv8/js with dynamic typing, which will simplify the development process.

In addition to the development of new functions on plv8, the framework provides a set of ready-made functions for CRUD operations. These functions are universal, they aren't tied to a certain database structure, and they can work in any project. If you use them, you can do less backend development, in some projects to a very significant extent.

The installation of the plv8 extension is the most complicated part of working with it. However, I have good news: my colleagues prepared Docker files and Docker images for PostgreSQL 13 with pre-installed plv8! So your start with plv8 will be super simple: you need to deploy the Docker container using just one command!
Docker file: PostgreSQL 13 + plv8 v2.13.15
Demo project for you to participate in the tutorial
For the tutorial, you need to install the following:
Node.js (the most desirable is LTS)
IDE for JS (i.e., free Visual Studio Code)
GraphQL Playground