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February 03 – 05 , 2016

PgConf.Russia 2016

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Talks

Talks archive

PgConf.Russia 2016
  • Boris Veryugin
    Boris Veryugin Diasoft Platform Ltd

    Diasoft Platform company's technology solutions for migration of applications from proprietary DBMS (on the examples of Oracle and Microsoft SQL Server) to PostgreSQL will be presented in the talk. These solutions are implemented in Diasoft Database Adapter software.

    Our technology solutions allow to automate: 1) migration of database schema (including translation of stored procedure and function code); 2) migration of data; 3) migration of client applications without any change in their source code.

  • Pavel Stehule
    Pavel Stehule freelancer

    • the architecture
    • the design and implementation of PL/pgSQL
    • the difference between PL/SQL and PL/pgSQL
    • the advantage and issues of PL/pgSQL

  • Alvaro Hernandez
    Alvaro Hernandez 8Kdata

    Java is the most used programming language in the world. Yet how is it supported in PostgreSQL? What are the gotchas and the best practices? Now that Java is evolving significantly, how will PostgreSQL follow?

    Despite Java's age, language is stronger than ever. It's the de facto programming language in the enterprise world. And since Java 8, it is having a come back in the startup and open source world. PostgreSQL is accessed more from Java than any other interface but, how's Java supported in PostgreSQL?

    This talk will analyze how it has been in the past, but more importantly how can you use it and what can you do today. JDBC drivers, best practices, pl/java and other less frequently used tools will be presented and discussed.

    And then we will look into the future, to see what is currently under development. Like Phoebe, a new Java Reactive Driver for PostgreSQL that targets clusters, pipelined queries and non-JDBC interface for fully asynchronous operation. And also what needs to be done in areas like server-side Java, to bring Java to a fully advanced first-level language within PostgreSQL.

  • Heikki Linnakangas
    Heikki Linnakangas Pivotal Ltd

    PostgreSQL includes several index types: GiST, SP-GiST, GIN, and of course, the regular B-tree. DBAs are familiar with using each of these for specific use cases, GIN for full-text search, GiST for geometrical data, and so on, but how do they work internally? What makes them suitable for the cases they're typically used for?

    In this presentation, I will walk through the internal structure of each of these index types, explaining what strengths and weaknesses each one of them have.

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