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March 15 – 17 , 2017

Postrelease

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Talks

Talks archive

PgConf.Russia 2017
  • Ivan Frolkov
    Ivan Frolkov PostgresPro

    With big data threads, even the upload of data to a database can often be problematic – apart from the data upload itself, you need to create indexes, perform VACUUM after the upload for correct Index-only scans, etc. From this talk, you will learn how to avoid most of such problems (if not all of them).

    VIDEO

  • Michael Shurutov
    Michael Shurutov Postgres Professional

    1. What is an autonomous transaction?
    2. An overview of autonomous transactions in "big" DBMS: Oracle.
    3. Autonomous transaction logic in Postgres Pro.
    4. An overview of emulation methods for autonomous transactions in PostgreSQL.
    5. Comparing performance of the built-in Postgres Pro autonomous transaction mechanism and PostgreSQL emulation methods.

    VIDEO

  • Алексей Лесовский
    Алексей Лесовский PostgreSQL Consulting LLC

    Streaming replication has been introduced in 2010 and quickly became one of the most popular features of PostgreSQL. Today, it is hard to imagine PostgreSQL installation without streaming replication. With its stability, high efficiency and ease of configuration one would have thought it is an optimal feature. However, while using it you might sometimes enter murky waters. This often can be resolved by using a combination of built-in and third party troubleshooting tools. In my talk I will provide an overview of these tools and explain how with their help one can diagnose, understand and eliminate problems related to streaming replication. I will also go through the most frequent issues occurring when streaming replication is used and will propose possible solutions. This talk is primarily aimed at DBAs and system administrators who use PostgreSQL in their day-to-day.

    VIDEO

  • Kamil Islamov
    Kamil Islamov Stickeroid Ai

    We will discuss some tricks and patterns while developing web-application architecture based on ORM technology with Postgresql functions implementation with Python Django as an example. Also we will consider some ways of building the business logic inside a database with keeping Django framework opportunities and implementation of it's built-in admin panel.

    VIDEO

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