Postrelease
Доклады
Архив докладов
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Vladimir Borodin Яндекс
Connection pooling at any scale
It's not a secret that PostgreSQL connections are expensive so you should save them. To solve this problem there are PgPool-II and PgBouncer for quite a long time. At Yandex tens of thousands of connections to a single database is not a surprise so we use pgbouncer since time immemorial. This talk gives an overview of problems we faced and ways to solve them.
VIDEO
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Vadim Yatsenko ООО Прогресс Софт
Very large tables in PostgreSQL. Or how to make 60+ Tb to 10+ Tb
The talk will describe how we have implemented storage of large tables (+1 billion rows per day). The project exists in production 2 years. The total amount of data - 300 Tb (25 PostgreSQL servers * 2 Data Center). I'll tell about mistakes in organization of large tables storage in the initial phase of the project, and how these mistakes were corrected. I'll also talk about how to organize the data rotation and archiving. I voiced questions about what we were missing in PostgreSQL 9.4 out of what appeared in the 9.5 and 9.6. And also, what new features we are waiting for new releases of PostgreSQL.
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Sergey Mirvoda ООО Октоника, УрФУ
Data analysis for all. Developing BI system, working on limited and even shared hardware
Experience we've got after 5 years of developing, deploying and improving BI system http://colibri365.ru used in government. I would talk about government IT reality and our way over it. Postgres performance improvements, using of latest features, overwriting of user generated queries to help query optimizer and other tweaks and hacks to tackle limited hardware problems. These lead us to number of computer science papers and (now committed) patches to Postgres (see Andrey Borodin talks for details).
VIDEO
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Peter Gribanov 1С
1C:Enterprise business platform: working with PostgreSQL
"1C:Enterprise" is the most popular in Russia/Eastern Europe business applications development framework supports PostgreSQL for 10+ years. We'll review some cases and pecularities of 1C and PostgreSQL tandem.
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