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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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
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Teodor Sigaev PostgresPro -
Heikki Linnakangas Pivotal LtdWalk-through of extending PostgreSQL with a user-defined type. The journey begins from the basics, from creating simple domain types over existing types, and continues to implementing a full-blown datatype from scratch in C.
PostgreSQL's advanced index types, GiST, GIN, and SP-GiST, are covered in enough detail to give an understanding of what each of them is good for. Support functions for each of them are shown for the example 'color' datatype.
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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.
Photos
Photo archive