31 March – 01 April
PGConf.Russia 2025
PGConf.Russia is the largest PostgreSQL conference in Russia and the CIS. The event offers technical sessions, hands-on demos of new DBMS features, master classes, networking opportunities, and knowledge exchange with top PostgreSQL community experts. Each year, hundreds of professionals participate, including DBAs, database architects, developers, QA engineers, and IT managers.
Agenda highlights
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Latest news and updates from the PostgreSQL global community
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Monitoring, high availability, and security
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Streamlined migration from Oracle, Microsoft SQL Server, and other systems
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Query optimization
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Scalability, sharding and partitioning
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AI applications in DBMS
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PostgreSQL compatibility with other software
Talks
Talks archive
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Александр Попов PostgresProThis talk will explore different approaches to storing files in PostgreSQL, including:
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Simple table-based storage
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Large objects with pg_largeobject
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pgpro_sfile – a large object (pgpro_bfile) storage solution
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Николай Баушенко ПАО ВТБThe visibility map in PostgreSQL is an important mechanism for optimizing database performance, accelerating read operations, data cleanup, and indexing. Despite some limitations, such as memory consumption and fragmentation, its use can significantly enhance performance in high-load systems. Effective utilization of the visibility map requires proper configuration and monitoring, which is especially crucial in systems with large data volumes and high transaction concurrency.
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Dmitry Vasilyev OZONPoolers play a crucial role in PostgreSQL database operations. In this talk, we’ll discuss the challenges we faced when using and implementing existing poolers and the benefits we gained by developing our own pooler.
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Anatoly Anfinogenov АО "ВНИИЖТ"This talk addresses a common issue and touches a bit on application architecture. Temporary tables in database applications are typically used for several purposes.
Firstly, they are used to store intermediate results when implementing complex data processing algorithms. Secondly, in the case of stored procedures, application servers often place large datasets into temporary tables when they are too large or inconvenient to pass as parameters to stored procedures.
The handling of temporary tables in different DBMSs is implemented in various ways, which often complicates migration from these systems to Postgres.
The drawbacks of temporary tables are well-known, which leads to a reasonable desire to replace them, where possible, with other methods that can achieve the same goal. This talk focuses on alternative mechanisms provided by Postgres to solve this problem.
Photos
Photo archive