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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
  • Tatsuro Yamada
    Tatsuro Yamada NTT Comware

    As is often seen in OLAP and batch processing workloads, the more complex a query (containing many joins, filters, aggregates), the more there is a possibility of row count estimation errors, which leads to planner choosing an inefficient execution plan.

    To address that problem, I developed a tool called pg_plan_advsr as a PostgreSQL extension, which corrects the estimation errors by repeatedly feeding back the information collected during query execution to the planner.

    The tool has three features:

    1. Automatic plan tuning by repeatedly feeding execution information to planner
    2. Preserve all plans generated during plan tuning in a history table
    3. Create and store optimizer hints to be able to reproduce plans generated during tuning process

    I verified the effectiveness of pg_plan_advsr by enabling it when running the join order benchmark (JOB) against PG 10.4 and observed its execution time shortening to 50% of the original. Therefore, it is useful for user who would like to do plan tuning for OLAP and batch processing.

    I will talk about the following things in this presentation:

    • Principles behind pg_plan_advsr and its architecture
    • Detailed information about the measurements done with JOB
    • Possible future enhancements
    • Using aqo and pg_plan_advsr together (experimental)

  • Alex Lustin
    Alex Lustin SilverBulleters, LLC

    1. Principles of searching for troublesome queries in PostgreSQL.
    2. Evaluation of hypothetical indexes and their impact on query plans.
    3. The most common errors in 1C-programming.
    4. Basic methods of code refactoring, taking into account the features of PostgreSQL.
    5. Storing analytical information from the PostgreSQL log to assess the quality of refactoring

  • Jignesh Shah
    Jignesh Shah Amazon Web Services

    Managed database services are gaining in popularity. In this session we look at how best to configure Amazon RDS for PostgreSQL and also look at common user operations of using RDS for PostgreSQL. We will also look beyond common user operations and into some specific optimizations related to upgrade, logical replication, performance, and reducing downtime.

  • Алексей Лесовский
    Алексей Лесовский PostgreSQL Consulting LLC

    Sometimes problems arise during Postgres operation, and the faster they are identified and resolved, the happier users eventually will be. pgCenter is a set of CLI powerful utilities for troubleshooting in the "here and now" mode. In the talk I will show how to use pgCenter for efficient troubleshooting, the directions in which to search, and how to respond to certain problems, in particular how to:

    • check if Postgres is in the normal state;
    • identify promptly the faulty clients and stop them;
    • reveal too heavy queries;
    • and other tips and tricks of pgCenter.

All talks

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