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March 15 – 17 , 2017

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Talks

Talks archive

PgConf.Russia 2017
  • 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.

  • Nicholas Sivko
    Nicholas Sivko okmeter.io

    It often happens that you already have PosgtreSQL in production, but you don’t have a DBA. To demystify the PostgreSQL database, I’ll tell you how to troubleshoot various problems while working with PosgtreSQL. We will try to understand how to answer "routine" questions of a typical system administrator: - Is everything OK with the database? - What consumes DB server resources? - What to optimize first to reduce resource consumption?

    VIDEO

  • Mikhail Tyurin
    Mikhail Tyurin Independent entrepreneur in the field of data technology and predictive analytics

    < Query failed: ERROR: deadlock detected
    < DETAIL: Process 17371 waits for ShareLock on transaction 102733872; Blocked by process.
    < Process 10414 waits for ShareLock on transaction 102733874; Blocked by process 17371.
    

    Such "unpleasant" messages from the server can seriously puzzle the developer. When working with locks, in particular, with transactions in general, it is necessary to take into account the features of the implementation of client libraries, which can cause the above exception.

    In the short talk, the mechanics of the interaction of locks will be explained, main attention being paid to causes of deadlocks. References to the relevant documentation pages will be given. A technique of "bypassing" this problem of concurrent data access will be described and illustrated with some generalized examples from practice are shown. The talk will be interesting to database developers and administrators as well as the client-side application developers.

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