PgConf.Russia 2020
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 3-day program includes training workshops presented by leading PostgreSQL experts, more than 40 talks, panel discussions and a lightning talk session.
Thems
- PostgreSQL at the cutting edge of technology: big data, internet of things, blockchain
- New features in PostgreSQL and around: PostgreSQL ecosystem development
- PostgreSQL in business software applications: system architecture, migration issues and operating experience
- Integration of PostgreSQL to 1C, GIS and other software application systems.
Talks
Talks archive
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Нина Белявская Служба движения ГУП "Мосгортранс"Moscow public transport vehicles when moving report their coordinates via GLONASS. Collected data is used for various analyses including timetable development, bottlenecks detection and planning the bus lanes. Until recently we used the PostGIS extension for this purpose but now we are switching to a new PG extension — MobilityDB — designed especially for geodata time series processing. I have compared the table size and the performance of our solution without and with MobilityDB and happy to present the results.
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Bruce Momjian EnterpriseDBLocking is critical for providing high concurrency for any database — you cannot fully utilize your hardware if locking is throttling its use. This talk explores all aspects of locking in Postgres by showing queries and their locks; covered lock types include row, table, shared, exclusive, and advisory lock types. The high concurrency provided by Multiversion Concurrency Control (MVCC) is also covered.
Slides are at https://momjian.us/main/writings/pgsql/locking.pdf
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Oleg Bartunov PostgresProPostgreSQL built-in full text search gives unique possibilities inaccessible for external search engines, such as virtual or generated document search and search with access restrictions. I will talk about these and other features, full text search configuration, indexes, and highlight the latest advances and future expectations
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Олег Правдин LingualeoA brief story how MySQL → PG migration could increase company efficiency tenfold times:
- Program code has been reduced 50 times, with optimization of backend team (from 15 to 3 engineers)
- Software development of new features has become measuring in days, not in months
- Infrastructure costs per 1M users have been reduced 20 times
- Database structure and technical documentation were simplified significantly, from 100K high-dependent tables to just 20 simple tables
- New security level because of total forbidden on external SQL commands to the database
- Quick analytics aggregation on multiple parameters, without external analytics systems
- The last, but not the least: the main business was keeping alive during migration
Photos
Photo archive