June 20 – 21 , 2022
PGConf.Russia 2022
PGConf.Russia 2022
PGConf.Russia is a leading Russian PostgreSQL international conference, annually taking together more than 700 PostgreSQL professionals from Russia and other countries — core and software developers, DBAs and IT-managers. The 2-day program includes training workshops presented by leading PostgreSQL experts, more than 40 talks, panel discussions and a lightning talk session.
Thems
- PostgreSQL technology frontiers for highest workloads, huge databases, mission-critical applications
- PostgreSQL scalability for transactional and analytical workloads
- New features in PostgreSQL and around: PostgreSQL and its ecosystem development
- PostgreSQL for business software applications: system architecture, migration issues and operating experience
- PostgreSQL specific features and their applications: JSON(b), (geo)Spatial data, Full text search
Talks
Talks archive
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Alexander Liubushkin LLC "FORS Telecom"
Rustam AbdrakhimovThe talk covers the use of PostgreSQL, LUI and LUI4ORA2PG for building an analytical reporting system.
The talk tackles the following topics:
- migration from an Oracle environment;
- application of JSON functions;
- how the temporary tables helped us;
- our own means for load testing and bottlenecks detection;
- how to make beautiful GeoJSON format maps to display diagrams on them;
- installation and testing of the system on an "Elbrus" computer;
- what became an obstacle or was missing when using PostgreSQL.
The history of growth of the Live Universal Interface (LUI) web application development tool and the LUI4ORA2PG migration tool can be found in our previous presentations at PGConf conferences:
https://pgconf.ru/2019/118109 ;
https://pgconf.ru/201911/264095 ;
https://pgconf.ru/2020/262456 ;
https://pgconf.ru/2021/288310 .
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Igor Kosenkov PostgresProDisaster-tolerant cluster implies minimal data loss in the event of the main data center disaster and switching to the backup data center. The data loss takes place due to the asynchronous replication between the main data center and the backup one. However, there's a solution that can resolve the existing problem and ensure zero data loss in the case of the main data center disaster. My talk covers this solution for zero data loss.
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DDenis Volkov Yandex
SPQR is a lightweight OLTP sharding solution written in Go. In this talk, I'm going to discuss design decisions that led us through FDW-based sharding, CustomNode-based sharding, C-implemented lightweight query routing, and finally to SPQR design.
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.JPG.180x180.jpg "Pavel Tolmachev")
Pavel Tolmachev PostgresProThe more tables are involved with the query, the more difficult it is for the scheduler to choose a suitable execution plan (both time and memory usage increase). How can we "tell" the planner that it is better to connect this pair of tables first, and the rest can be connected later? What if we see that a part of our query can be improved, but the optimizer does not do this. In my presentation, I will talk about managing the order of connections. I will explain how we can influence the formation of a query plan using the standard "vanilla" PostgreSQL methods.
Photos
Photo archive