PostgreSQL and JDBC: striving for high performance

Common Java wisdom is to use PreparedStatements and Batch DML in order to achieve top performance. It turns out one cannot just blindly follow the best practices. In order to get high throughput, you need to understand the specifics of the database in question, and the content of the data.

In the talk we will see how proper usage of PostgreSQL protocol enables high performance operation while fetching and storing the data. We will see how trivial application and/or JDBC driver code changes can result in dramatic performance improvements. We will examine how server-side prepared statements should be activated, and discuss pitfalls of using server-prepared statements.

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.

My Five Slides About Postgres

My experience of working with PostgreSQL has provided clear understanding of its main advantages, making us choose and recommend choosing it.
1. Beginning
2. Documentation
3. Community
4.1 Transactional DDL
4.2 WAL and True Physical Replication
4.3 Transactional Snapshot and True Logical Replication and PGQ
4.4 Exciting extensibility
5. Success

New B-tree features

B-tree is the most widely used index type in PostgreSQL. This data structure and concerned algorithms are developed about forty years ago. But there is still an area for optimisations. In this presentation I'm going to talk about B-tree data structure, and its features important for the optimal index usage. Furthermore, I'll present a couple of new features which are expected to be included in PostgreSQL 9.6 release.