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March 15 – 17 , 2017

Postrelease

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Talks

Talks archive

PgConf.Russia 2017
  • Masahiko Sawada
    Masahiko Sawada NTT OSS Center

    Database sharding enables a distribution of the database over a large number of machines, greatly improving performance. With the advent of Foreign Data Wrappers (FDW), it's possible to consider a database sharding in PostgreSQL with acceptable level of code changes using FDW. We've been working on enhancing around FDW infrastructure such as foreign table inheritance and pushing down so that PostgreSQL can execute the distributed query efficiently using FDW. In this talk, I'll cover what FDW-based sharding is and what use-cases it can cover. And then I'll demonstrate how to build sharding and describe our achievement of a FDW-based sharding in PostgreSQL community. Finally, I'll describe further enhancements to FDW such as Async Execution and Distributed Transaction Support.

  • Alexander Alekseev
    Alexander Alekseev PostgresPro

    ZSON is a PostgreSQL extension for transparent JSONB compression. Compression is based on a shared dictionary of strings most frequently used in specific JSONB documents (not only keys, but also values, array elements, etc). In some cases ZSON can save half of your disk space and give you about 10% more TPS.

    VIDEO

  • Jean-Paul Argudo
    Jean-Paul Argudo Dalibo

    Dalibo team produces open source tools for PostgreSQL among other things for many years now (see http://dalibo.github.io/).

    This time I'll present temBoard, a new tool to remotely control PostgreSQL databases. The project is visible at https://github.com/dalibo/temboard

    It's about monitoring, supervision, remote settings and actions... and many more features to come. The main goal is to provide a comprehensive console for PostgreSQL. It's needed by production DBAs, to daily achieve their tasks. We heard Dalibo's customers, as many of them wrote the specs :-)

  • Markus Nullmeier
    Markus Nullmeier University of Heidelberg

    Sets are apparently a useful data type for many kinds of applications. While PostgreSQL offers no built-in set data type, sets may be emulated to some degree with its built-in array and JSONB data types. Also, acceleration of respective containment (subset) queries is readily available as a built-in feature of the GIN index type.

    Starting with the above, we will then explore the performance gains enabled by custom set data types, and especially by customisation code in C ("operator classes") for the GIN and GiST index types.

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