Using JSONB in Real Projects

We will consider the advantages and disadvantages of solutions based on JSONB compared to traditional relational approach on real projects, including: 1. Performance 2. Data Versioning 3. Scalability 4. Reliability 5. Report building

The base version of DBMS PostgreSQL can register events bellow: - connect and disconnect - denial of access with date, time and user's name.

Requirements guidelines for audit subsystem is much wider possibilities basic version of database PostgreSQL.

The RusBITech company holds the necessary improvements PostgreSQL database to enhance it's functionality.

A result of improvements audit subsystem of PostgreSQL database as part of the operating system «Astra Linux Special Edition» further enables registration:

• The creation and destruction of database objects;
• Changes to the rules of access control;
• Both failures and successful attempts to access the database objects;
• Changes to the powers and status of subjects access objects access.

For all events are specified: - date and time; - The user performing the action of the registrant; - The object on which the action is carried out; - Type of event; - The result of the operation.

Audit subsystem of modified PostgreSQL is integrated into a centralized audit system OS «Astra Linux Special Edition». Provided the rules setting without stopping the logging (restarting) database.

Multicorn: writing FDWs in Python

Multicorn is a generic Foreign Data Wrapper which goal is to simplify development of FDWs by writing them in Python.

We will see:

• what is an FDW what Multicorn is trying to solve how to use it, with a brief tour of the FDWs shipping with Multicorn.
• how to write your own FDW in python, including the new 9.5 IMPORT FOREIGN SCHEMA api.
• the internals: what Multicorn is doing for you behind the scenes, and what it doesn't

After a presentation of FDWs in general, and what the Multicorn extension really is, we will take a look at some of the FDWs bundled with Multicorn.

Then, a complete tour of the Multicorn API will teach you how to write a FDW in python, including the following features:

• using the table definition
• WHERE clauses push-down
• output columns restrictions
• influencing the planner
• writing to a foreign table
• IMPORT FOREIGN SCHEMA
• ORDER BY clauses pushdown
• transaction management

This will be a hands-on explanation, with code snippets allowing you to build your own FDW in python from scratch.

PostgreSQL clusters using streaming replication and pgpool-II

The talk is about PostgreSQL clusters using streaming replication and pgpool-II, which are quite popular in Japan. Plus, the next version of pgpool-II will be released this winter, so the talk will be about what's new in the version.