PgConf.Russia 2017

Overview of the architecture of Greenplum MPP (Massively Parallel Processing) database. Explain the internals of GPDB. Show how to configure and setup GPDB. How to distribute data effectively for MPP

VIDEO

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.

A summary of what the Postgres Professional company has achieved in its two-year history:

• Our achievements in PostgreSQL development.
• What is the Russian Postgres Pro DBMS, and how is it related to PostgreSQL?
• What is Postgres Pro Enterprise, and why Enterprise?
• What about trainings and certification?

VIDEO

1. Why is it time to consider switching to PostgreSQL?
2. 1С and PostgreSQL interoperability.
3. Why should we start with Windows?
4. The first experience of migrating big enough 1С databases to Postgres.
5. Large-scale projects on high-load systems, in figures.