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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Дмитрий Гребенщиков ООО "Диасофт"Migrating engineering software from Oracle to PostgreSQL
Dmitry will talk about using an automated migrator developed by "Diasoft" company for migrating Russian systems to PostgreSQL.
Taking the LOOTSMAN engineering software (developed by the ASKON company), we will speak about the key aspects of migration, review possible issues and ways to resolve them, as well as discuss performance optimization methods for migrated stored procedures. -
Oleksii Kozlov Swarm64 AS
Mikhail Tsvetkov IntelIf you care about Postgres performance, there are a number of hardware acceleration options to help with different use cases. Intel Optane DC persistent memory creates new tier in data hierarchy allowing developers to utilize performance of traditional memory combining with volume and persistency of block storage devices. Unlike traditional DRAM-only in-memory systems, where memory is small, expensive, and volatile, Intel Optane DC persistent memory makes it possible to run larger Postgres databases (terabytes) in memory for higher performance. FPGAs are integrated circuits that can be reprogrammed dynamically to accelerate a specific workload such as SQL execution and data compression. FPGA accelerators extend Postgres with hundreds of SQL reader and writer processes that work in parallel on the FPGA. It’s similar to adding hundreds new cores to boost parallel processing on your server.
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Jose Cores Finotto Gitlab IncI would like to present the main projects for the evolution of our database, how we execute the administration, the problems and pitfalls we found, and how we solve them,the number and how are the database clusters from Gitlab.com , and what is our planning for the future, sharding, kubernetes... Our environment is in an exponential growth, with millions of users and thousands of requests per second, and we keep our platform stable and scaling. Join our session and discover our how we are doing it!
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Egor Rogov PostgresProTo build a decent query plan, the optimizer has to understand statistical characteristics of underlying data. It is interesting to observe how the structure of the collected information became more complicated over time: what the optimizer relied on back in its early days and what is at his disposal now with the release of the 12th version. We will also talk about how and when statistics are collected, how to manage this process and whether it is necessary to think about it at all.
Photos
Photo archive