title

text

Dmitry Ivanov
Dmitry Ivanov Postgres Professional
Ildar Musin
Ildar Musin Postgres Professional
14:00 16 March
45 мин

Partitioning with pg_pathman

Partitioning is a long-awaited feature in PostgreSQL. Although Postgres supports partitioning via inheritance, this approach has some disadvantages, such as the need to manually create partitions and support triggers, significant planning overhead, and no query execution optimizations. In this talk, we’ll tell you about the pg_pathman extension we are developing. pg_pathman supports HASH and RANGE partitioning, performs planning and execution optimizations, supports fast insert by using Custom Node instead of triggers, provides functions for partition management (add, split, merge, etc.), supports FDW, non-blocking data migration, and more. We'll also speak about pg_pathman integration with Postgres Pro Enterprise Edition and Oracle-like syntax support for partitioning. Finally, we'll discuss new partitioning capabilities in PostgreSQL 10, the already implemented features and further development plans.

VIDEO

Слайды

Другие доклады

  • Илья Космодемьянский
    Илья Космодемьянский Data Egret
    45 мин

    Linux IO internals for PostgreSQL administrators

    Input-output (IO) performance issues have been on DBAs’ agenda since the beginning of databases. The volume of data grows rapidly and time is of an essence when one needs to get necessary data fast from the disk and, more importantly, to the disk.

    For most databases it is relatively easy to find checklist of recommended Linux settings to maximize IO throughput and, in most cases, this checklist is indeed good enough. It is however essential always to understand how the optimisation of those settings actually works, especially, if you run into corner cases.

  • Peter Gribanov
    Peter Gribanov
    22 мин

    1C:Enterprise business platform: working with PostgreSQL

    "1C:Enterprise" is the most popular in Russia/Eastern Europe business applications development framework supports PostgreSQL for 10+ years. We'll review some cases and pecularities of 1C and PostgreSQL tandem.

  • Alvaro Hernandez
    Alvaro Hernandez 8Kdata
    45 мин

    Migrating off of MongoDB to PostgreSQL

    MongoDB is a successful database in the NoSQL space, mostly used for OLTP-type workloads. However, due to the lack of ACID (transactions in particular) and significant performance issues with OLAP/DW workloads, more and more MongoDB users are considering migrating off of MongoDB to a RDBMS, where PostgreSQL is the usual choice. This represents a significant opportunity for the PostgreSQL ecosystem, to "bring NoSQL to SQL". This talk will present the challenges that MongoDB users are facing and the state of the art of the available tools and open source solutions available to perform ETL and live migrations to PostgreSQL. In particular, ToroDB Stampede will be discussed, an open source solution that replicates live from MongoDB, transform JSON documents into relational tables, and stores the data in PostgreSQL.

    VIDEO

  • Markus Nullmeier
    Markus Nullmeier University of Heidelberg
    45 мин

    Accelerating queries of set data types with GIN, GiST, and custom indexing extensions

    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.