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March 15 – 17 , 2017

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Talks

Talks archive

PgConf.Russia 2017
  • Ildar Musin
    Ildar Musin PostgresPro
    Dmitry Ivanov
    Dmitry Ivanov PostgresPro

    Partitioning is a long-awaited feature in PostgreSQL. Although Postgres supports partitioning via inheritance, this approach has some disadvantages, such as the need to manually create partitions and support triggers, significant planning overhead, and no query execution optimizations. In this talk, we’ll tell you about the pg_pathman extension we are developing. pg_pathman supports HASH and RANGE partitioning, performs planning and execution optimizations, supports fast insert by using Custom Node instead of triggers, provides functions for partition management (add, split, merge, etc.), supports FDW, non-blocking data migration, and more. We'll also speak about pg_pathman integration with Postgres Pro Enterprise Edition and Oracle-like syntax support for partitioning. Finally, we'll discuss new partitioning capabilities in PostgreSQL 10, the already implemented features and further development plans.

    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

  • Oleg Alekseev
    Oleg Alekseev MoySklad

    MoySklad online service includes important component - semiautomatic database conversion framework. Its history and supported conversions are subject of this speech.

    VIDEO

  • Peter Gribanov
    Peter Gribanov 1C LLC

    "1C:Enterprise" is the most popular in Russia/Eastern Europe business applications development framework supports PostgreSQL for 10+ years. We'll review some cases and pecularities of 1C and PostgreSQL tandem.

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