PgConf.Russia 2017

Currently, to execute SQL queries PostgreSQL uses interpreter, which implements Volcano-style iteration model. At the same time it’s possible to get significant speedup by dynamically JIT-compiling query “on-the-fly”. In this case it’s possible to generate code that is specialized for given SQL query, and perform compiler optimizations using the information about table structure and data types that is already known at run time. This approach is especially important for complex queries, which performance is CPU-bound.

Modern state of backup tools for PostgreSQL certainly leaves some room for improvements. Standard utilities provides only basic functionality, third-party tools solve some, but not all, problems. To take backups reliably, fast, and incrementally on page level, one needs not only a backup tool, but also some support from the database server. On this tutorial we will talk about our new backup and recovery manager ProBackup, and will show it in action.

Demonstration script:

• pg_probackup_script.txt

"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.

The new ISO/IEC 9075-2:2016 standard specifies JSON data and operations syntax and semantics specifics for SQL. This talk overviews the requirements of this standard, and focuses on the differences between them and the actual implementation of JSON/JSONB in PostgreSQL. Special attention will be paid to JSON Path (XPath analogue), SQL/JSON functions and our plans to make Postgres compliant with this standard.

VIDEO