PostgreSQL на 20TB и выше
In the last six months I have been working with a massive OLAP environment with 20TB shards, spanning around 400TB of data. Come to listen to how we make it all work, the challenges, and the skills involved. This talk has very little in common with the 10TB and Beyond talk because the data environments are very different.
We will cover analytics performance, data alignment, reasons for building extensions in C, and moving data around between servers in multiple data centers.
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Другие доклады
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Марк Локшин Мэйл Ру
Опыт миграции высоконагруженных игровых проектов с MySQL на PostgreSQL
The speaker will share his experience of transferring high-loaded game projects that were originally developed to work with MySQL into PostgreSQL. Problems that had been expected and ones that were actually faced. Tricky bugs that were found in production servers after the migration. Solutions that were used to deal with problems. PostgreSQL features that were very useful and desirable ones that were missing.
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Olivier Courtin DataPink
Мастер-класс: продвинутый анализ пространственных данных с помощью PostgreSQL, PostGIS и Python
- Spatial and advanced spatial analysis with pure PostGIS (including cutting edge PostGIS functions available)
- How could we mix and tied efficiently PostgreSQL and Python data types (as NumPy ndarray, and Pandas DataFrames)
- Tools to improve our data manipulation environment (Jupyter tricks, easy dataviz...)
- How to go further throught GeoDataScience, with Python libs and framework tied with PostgreSQL/PostGIS (including Machine and DeepLearning)
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Andrei Nikolayenko Скала-РBoris Neiman MellanoxArthur Zakirov Postgres Professional
Сетевые ускорения в комплексе Скала-СР / Postgres Pro: настоящее и будущее
Last year we announced Skala-SR / Postgres Pro database machine with a hardware and software support for remote direct memory access (RDMA) as a key feature. The first appliances have been already installed at customer sites, and even with the first version customers got some constructions, that were impossible without RDMA and CPU offload (got with Mellanox networking). However, capabilities of this equipment are much wider, and this talk is dedicated to current works and prospective developments for this topic.
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Nikolay Ryzhikov Health Samurai
Использование PostgreSQL и Сlojure для разработки приложений, ориентированных на работу с базами данных
If you honestly evaluate most of our business applications, you will see that they first collect and import the data into a database and then send the same data in the opposite direction.
What if we don't build an ORM wall between the application and the database, but try using the symbiosis of their strong points and special features instead?
I will tell you how we use PostgreSQL and Clojure for building data-intensive medical applications. We will cover the following topics:
- functional relational programming
- jsonb for modeling complex data domains
- functional indexes and json-knife extension for jsonb search
- graphql implementation on PostgreSQL
- logical replication for building reactive integrations
- asynchronous JDBC-free connector to PostgreSQL on netty