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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
  • Stepan Danilov
    Stepan Danilov RT Labs

    I would like to share my experience in optimization queries in PostgreSQL of RMIS (Regional Medical Information System).

  • Anna Akentyeva
    Anna Akentyeva PostgresPro

    In this talk we will have a look at the details of autovacuum's implementation and see what kind of practical implications they have. The talk will also provide a short overview of patches for autovacuum that are currently being considered by the developer community and that may be included in newer versions of PostgreSQL.

  • Miroslav Šedivý
    Miroslav Šedivý solute GmbH

    So you finally have your database model for your application and you fill it in with current data. How do you keep it up to date? While INSERT may still be transparent, UPDATE and DELETE will overwrite your previous data, so you won't be able to reproduce them. Cloning the whole huge content for each minor update is not an option. For rich and complex data about hundreds of thousands of power generators in Germany and worldwide, I built a model using range data types in recent PostgreSQL which allows me to insert, update and delete data while granting the full access to the whole state of the database at any historical moment. I'll present a very simplified version of the database so the audience will be immediately able to apply it for their cases. I'll also show a few tricks in Python and Psycopg2 that will allow a whole team to prepare, review, and deploy all revisions to this database without merge conflicts. And I'll give a few ideas on how to retrieve this data efficiently.

  • Aleksander Sheludchenkov
    Aleksander Sheludchenkov GK "Mitra"

    • Migration of the standard 1C cluster to MPI environment - "machine to machine migration of services".
    • PostgreSQL migration to GPU powered machine.

All talks

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