Postrelease
Talks
Talks archive
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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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Jean-Paul Argudo DaliboDalibo 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 :-)
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Alexander Alekseev PostgresProZSON 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
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Maksim Viharev AlyticsIn the data persistence layer, using PostgreSQL from the very start of development, we went all the way from a small cluster on a virtual machine to a multi-host system that provides near real-time processing of mixed OLTP/OLAP load. In this talk, I’m going to tell you about the main development stages of our analytical solution at the application and infrastructure levels, and describe the specifics of using PG that we encountered.
VIDEO
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