PgConf.Russia 2019
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.
Talks
Talks archive
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Miroslav Šedivý solute GmbHPython may not be the fastest programming language on the CPU, but its fast and easy development saves a lot of costs between the keyboard and the chair. In this workshop we'll explore the most popular library for the access to the PostgreSQL server named "psycopg2" and write a short application using some of its useful features.
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Artem Ivanov Atos IT S&S
Alexey Ignatov PostgresProTo migrate to a PostgreSQL/Postgres Pro we need multi-core servers to be carefully tuned for correct parallelism. What settings make multi-terabyte installations work fast and correctly?
We will share our PostgreSQL/Postgres Pro on BullSequana S and Bullion S servers testing experience.
- The features of this hardware platform which are crucial for high-loaded configurations
- Multi-core Scale-up servers and PostgreSQL/Postgres Pro
- Results of stress testing of PostgreSQL/Postgres Pro running on the equipment.
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Tatsuro Yamada NTT ComwareAs is often seen in OLAP and batch processing workloads, the more complex a query (containing many joins, filters, aggregates), the more there is a possibility of row count estimation errors, which leads to planner choosing an inefficient execution plan.
To address that problem, I developed a tool called pg_plan_advsr as a PostgreSQL extension, which corrects the estimation errors by repeatedly feeding back the information collected during query execution to the planner.
The tool has three features:
- Automatic plan tuning by repeatedly feeding execution information to planner
- Preserve all plans generated during plan tuning in a history table
- Create and store optimizer hints to be able to reproduce plans generated during tuning process
I verified the effectiveness of pg_plan_advsr by enabling it when running the join order benchmark (JOB) against PG 10.4 and observed its execution time shortening to 50% of the original. Therefore, it is useful for user who would like to do plan tuning for OLAP and batch processing.
I will talk about the following things in this presentation:
- Principles behind pg_plan_advsr and its architecture
- Detailed information about the measurements done with JOB
- Possible future enhancements
- Using aqo and pg_plan_advsr together (experimental)
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Darafei Praliaskouski JunoPostGIS is spatial extension for PostgreSQL.
This talk will go in depth on using PostGIS for disaster management: which functions can be used and for what.
Photos
Photo archive