title

text

March 15 – 17 , 2017

Postrelease

  • more than
    0 participants
  • 0 speakers
  • 0
    minutes of conversation
  • 63 talks
  • offline
    format

Talks

Talks archive

PgConf.Russia 2017
  • Alvaro Hernandez
    Alvaro Hernandez 8Kdata

    Java is one of the most used languages when programming with PostgreSQL databases. Join this tutorial to learn or review the techniques to connect to postgres, best programming practices with JDBC, and to explore jOOQ, a mapper software that allows you to use the full power of SQL and postgres advanced query features while avoiding all the boilerplate code.

    This tutorial is very practical: most of the time will be dedicated to iterate through code samples. It will cover:

    • Introduction to Java and PostgreSQL
    • Ways of connecting to PostgreSQL from Java (not only JDBC!)
    • Introduction to JDBC. JDBC types. PostgreSQL JDBC
    • Code demo: JDBC with PostgreSQL. From Java 1.4 to Java 8, best practices and code samples
    • Code demo: jOOQ, a great mapper for PostgreSQL
    • Java inside PostgreSQL
    • The future of Java and PostgreSQL

    About two-thirds of the tutorial will be dedicated to iterate over code samples and demos. All the code would be available from public open-source repositories and built with maven, so that any attendee may download it and build easily to play with it during the tutorial (although not required).

    VIDEO

    Part 1

    Part 2

    Part 3

    Part 4

  • Sergey Mirvoda
    Sergey Mirvoda Octonica, UrFU

    Experience we've got after 5 years of developing, deploying and improving BI system http://colibri365.ru used in government. I would talk about government IT reality and our way over it. Postgres performance improvements, using of latest features, overwriting of user generated queries to help query optimizer and other tweaks and hacks to tackle limited hardware problems. These lead us to number of computer science papers and (now committed) patches to Postgres (see Andrey Borodin talks for details).

    VIDEO

  • Maksim Viharev
    Maksim Viharev Alytics

    In the data persistence layer, using PostgreSQL from the very start of development, we went all the way from a small cluster on a virtual machine to a multi-host system that provides near real-time processing of mixed OLTP/OLAP load. In this talk, I’m going to tell you about the main development stages of our analytical solution at the application and infrastructure levels, and describe the specifics of using PG that we encountered.

    VIDEO

  • Alexander Alekseev
    Alexander Alekseev PostgresPro

    ZSON is a PostgreSQL extension for transparent JSONB compression. Compression is based on a shared dictionary of strings most frequently used in specific JSONB documents (not only keys, but also values, array elements, etc). In some cases ZSON can save half of your disk space and give you about 10% more TPS.

    VIDEO

All talks