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February 03 – 05 , 2016

PgConf.Russia 2016

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Talks

Talks archive

PgConf.Russia 2016
  • Dmitry Melnik
    Dmitry Melnik ISP RAS

    Currently, PostgreSQL uses the interpreter to execute SQL-queries. This yields an overhead caused by indirect calls to handler functions and runtime checks, which could be avoided if the query were compiled into the native code "on-the-fly" (i.e. JIT-compiled): at a run time the specific table structure is known as well as data types used in the query. This is especially important for complex queries, which performance is CPU-bound. At the moment there are two major projects that implement JIT-compilation in PostgreSQL: a commercial database Vitesse DB and an open-source project PGStorm. The former uses LLVM JIT to achieve up to 8x speedup on selected TPC-H benchmarks, while the latter JIT-compiles the query using CUDA and executes it on GPU, which allows to speed up execution of specific query types by an order.

    Our work is dedicated to adding support for SQL query JIT-compilation to PostgreSQL using LLVM compiler infrastructure. In the presentation we'll discuss how JIT-compilation can be used to speed up various stages of query execution in PostgreSQL, and the specifics of translating an SQL query into LLVM bitcode to achieve good performing native code. Also we'll present preliminary results for our JIT-compiler on TPC-H benchmark.

  • Никита Волков
    Никита Волков Sannsyn AS

    This talk will cover "hasql", a highly-efficient library for integration of Haskell and PostgreSQL. The library provides an API for declarative programming, which is also quite flexible and terse. The talk will cover the benefits of declarative programming as well as the architectural and technical solutions behind the library, including the implementation of the PostgreSQL binary protocol. Hasql is used in PostgREST, a popular modern restful API for Postgres.

  • Ильдар Мусин
    Ильдар Мусин PostgresPro
  • Mikhail Tyurin
    Mikhail Tyurin Avito

    My experience of working with PostgreSQL has provided clear understanding of its main advantages, making us choose and recommend choosing it.
    1. Beginning
    2. Documentation
    3. Community
    4.1 Transactional DDL
    4.2 WAL and True Physical Replication
    4.3 Transactional Snapshot and True Logical Replication and PGQ
    4.4 Exciting extensibility
    5. Success

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