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February 03 – 05 , 2016

PgConf.Russia 2016

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Talks

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PgConf.Russia 2016
  • Ronan Dunklau
    Ronan Dunklau Dalibo

    Multicorn is a generic Foreign Data Wrapper which goal is to simplify development of FDWs by writing them in Python.

    We will see:

    • what is an FDW what Multicorn is trying to solve how to use it, with a brief tour of the FDWs shipping with Multicorn.
    • how to write your own FDW in python, including the new 9.5 IMPORT FOREIGN SCHEMA api.
    • the internals: what Multicorn is doing for you behind the scenes, and what it doesn't

    After a presentation of FDWs in general, and what the Multicorn extension really is, we will take a look at some of the FDWs bundled with Multicorn.

    Then, a complete tour of the Multicorn API will teach you how to write a FDW in python, including the following features:

    • using the table definition
    • WHERE clauses push-down
    • output columns restrictions
    • influencing the planner
    • writing to a foreign table
    • IMPORT FOREIGN SCHEMA
    • ORDER BY clauses pushdown
    • transaction management

    This will be a hands-on explanation, with code snippets allowing you to build your own FDW in python from scratch.

  • Konstantin Knignik
    Konstantin Knignik PostgresPro

    Enterprises need enterprise-level databases. The existing Postgres clustering solutions are not supported by the community. Postgres needs a community-supported cluster solution. There have been multiple attempts like Postgres-XC/XL, but they are still being developed separately and have low chance to be accepted by the community. Other solutions, like pg_shard, plproxy, FDW-based, etc. lack the notion of global transactions. We developed a Distributed Transaction Manager (DTM) as a Postgres extension to achieve global consistency over a number of Postgres instances. To demonstrate the capabilities of the DTM we present examples of distributed transaction processing using pg_shard and postgres_fdw. We hope that the proposed approach will be included into Postgres 9.6. This will make the development of the clustering solutions easier for all interested parties.

  • Magnus  Hagander
    Magnus Hagander PostgreSQL Global Development Group

    Unlike most other databases, PostgreSQL is developed by a community, and not by a company or even a foundation. Those who have been members of this community for a long time generally consider this a strength, but it can often be confusing to outsiders who are more used to dealing with traditional organization. For those who are not already on the inside, this talk will give an introduction to how the PostgreSQL community works and how the different parties interact, as well as how this has evolved over the years.

  • Сергей Бурладян
    Сергей Бурладян Avito
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