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February 04 – 06 , 2019

PgConf.Russia 2019

PgConf.Russia 2019

PGConf.Russia is a leading Russian PostgreSQL international conference, annually taking together more than 500 PostgreSQL professionals from Russia and other countries — core and software developers, DBAs and IT-managers. The 3-day program includes training workshops presented by leading PostgreSQL experts, more than 40 talks, panel discussions and a lightning talk session.

Thems

  • PostgreSQL at the cutting edge of technology: big data, internet of things, blockchain
  • New features in PostgreSQL and around: PostgreSQL ecosystem development
  • PostgreSQL in business software applications: system architecture, migration issues and operating experience
  • Integration of PostgreSQL to 1C, GIS and other software application systems.
  • more than
    0 participants
  • 0 speakers
  • 0
    minutes of conversation
  • 63 talks
  • offline
    format

Talks

Talks archive

PgConf.Russia 2019
  • Dmitry Belyavskiy
    Dmitry Belyavskiy Technical Center of Internet
    Teodor Sigaev
    Teodor Sigaev PostgresPro

    At the end of 2018, I've got a request to extend the syntax of the ltree contrib. I'm finalizing the patch and going to speak about:

    • the current state of the extension,
    • the extended syntax, and
    • the process of development and testing the extension.

  • Dmitry Yuhtimovsky
    Dmitry Yuhtimovsky Gilev.ru

    Magic tricks followed by exposure (1C+PG):

    • Focus number one. How to convince the accounting department to buy a new server.
    • Focus number two. How to show that MS SQL is faster than PostgreSQL.
    • Focus number three. How to show that PostgreSQL is faster than MS SQL Server.

  • Miroslav Šedivý
    Miroslav Šedivý solute GmbH

    Python may not be the fastest programming language on the CPU, but its fast and easy development saves a lot of costs between the keyboard and the chair. Since database clients spend most of their time waiting for a response from the database server, Python's asynchronous functionality available in the recent versions (3.5+) may help to optimize the application's runtime considerably by working on something else while server's response is being prepared. The asynchronous interface between Python and PostgreSQL is called "asyncpg". In the workshop we'll explore this library and write a short application using some of its useful features.

  • Nikolay Ryzhikov
    Nikolay Ryzhikov Health Samurai
    Марат Сурмашев
    Марат Сурмашев Health Samurai

    JSONB in PostgreSQL has interesting properties for design and development of business systems with heavy domain, helping to fight against complexity and variability. We will discuss the trade-offs of the JSONB approach. Using an open source project for Health IT - fhirbase we will:

    • load synthetic medical data into PostgreSQL
    • learn how to search and index this data (gin, jsquery, json-knife)
    • use JSON aggregation to build complex queries (GraphQL)
    • see how this data can be modified and validated
    • discuss architecture consequences of JSONB usage

    Technical requirements:

    • docker
    • docker-compose

    Detailed prerequisites

All talks

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