PGConf.Russia 2018

Lomonosov Moscow State University, Moscow, Russia

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PGConf.Russia 2018

PGConf.Russia is a leading Russian PostgreSQL international conference, annually taking together more than 500 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.

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54 talks
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Дмитрий Шитов Centre of technical projects

How I Met Your Linux

What is a real cost of not paying for Windows for 1C-user? Is there life without COM? Addressing and other issues for the bunch of PostgreSQL. Scheduling disk resources. How to overcome OS CentOS crash.

Presentation materials
Egor Rogov PostgresPro
Tutorial: More indexes, good and various

"And telling GIN from SP-GIST was quite beyond his wit, we found", said the classic. Can you? This masterclass is about not-so-often used index types (compared to conventional B-tree) which however can do a great job for you. We will look into internal mechanics of these indexes and discuss cases where they can be successfully applied. Also we will talk about some peculiarities of PostgreSQL index access. To spend time efficiently, listeners are required to have basic knowledge of PostgreSQL and should be used to read plans of simple queries.

Materials of the master class
Backup copy of the database with demo data can be downloaded here:
- Recovery with pg_restore (338 MB)
Presentation materials
Olivier Courtin DataPink
Tutorial: Advanced spatial analysis with PostgreSQL, PostGIS and 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)
Presentation materials
Alexey Klyukin Zalando SE

Alexander Kukushkin Zalando SE
Tutorial: Management of High-Availability PostgreSQL clusters with Patroni

Patroni is a Python application to create high-availability PostgreSQL clusters based on the streaming replication. It is used by Red Hat, IBM Compose, Zalando and many other companies. This tutorial will highlight Patroni architecture, provide attendees with hands-on experience of configuring high-availability PostgreSQL clusters with Patroni, describe how to take advantage of numerous additional features and give an opportunity to learn more about common mistakes related to running Patroni and its troubleshooting.

In order to take most out of the Patroni tutorial one needs a laptop with git, vagrant and virtual box installed.
Vagrant can be obtained from https://www.vagrantup.com Virtualbox is at https://www.vagrantup.com
Alternatively, one can install your Linux distribution packages (or use homebrew on Mac).
Once Vagrant and Virtualbox are installed one can run the Patroni VM by issuing the following commands:
```
$ git clone https://github.com/alexeyklyukin/patroni-training
$ cd patroni-training
$ vagrant up
```
When the setup concludes Patroni box can be accessed via ssh using vagrant ssh command.
Presentation materials