Partitioning with pg_pathman

Partitioning is a long-awaited feature in PostgreSQL. Although Postgres supports partitioning via inheritance, this approach has some disadvantages, such as the need to manually create partitions and support triggers, significant planning overhead, and no query execution optimizations. In this talk, we’ll tell you about the pg_pathman extension we are developing. pg_pathman supports HASH and RANGE partitioning, performs planning and execution optimizations, supports fast insert by using Custom Node instead of triggers, provides functions for partition management (add, split, merge, etc.), supports FDW, non-blocking data migration, and more. We'll also speak about pg_pathman integration with Postgres Pro Enterprise Edition and Oracle-like syntax support for partitioning. Finally, we'll discuss new partitioning capabilities in PostgreSQL 10, the already implemented features and further development plans.

VIDEO

Practical Oracle and MS SQL Server to PostgreSQL migration with Database Adapter technology

VIDEO

ProBackup: fast, reliable, and incremental

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

Buit-in Sharding update and future

Database sharding enables a distribution of the database over a large number of machines, greatly improving performance. With the advent of Foreign Data Wrappers (FDW), it's possible to consider a database sharding in PostgreSQL with acceptable level of code changes using FDW. We've been working on enhancing around FDW infrastructure such as foreign table inheritance and pushing down so that PostgreSQL can execute the distributed query efficiently using FDW. In this talk, I'll cover what FDW-based sharding is and what use-cases it can cover. And then I'll demonstrate how to build sharding and describe our achievement of a FDW-based sharding in PostgreSQL community. Finally, I'll describe further enhancements to FDW such as Async Execution and Distributed Transaction Support.