PgConf.Russia 2016

More than 300.000 developers use technology platform "1C:Enterprise" as a main development tool. I'll tell you about architecture and features that made "1C:Enterprise" one of the most popular development environment in Russia and CIS and about growing popularity of PostgreSQL amongst 1C users.

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.

Heroku Postgres is a cloud database service and the largest provider of PostgreSQL as a service anywhere. We operate more than 1,000,000 PostgreSQL databases with a team of about 10 people. We may be the most efficient DBAs in history, with approximately 100,000 databases per person on our team! This talk will introduce the opportunity and challenges of building and operating a cloud database service, as well as discussing the strategies we use to build, operate, and scale this product and team for the last six years now. We will include details about * a brief introduction to the service to provide context * strategies to design and build such a data service * operational war stories like how to recover from losing thousands of servers at once, * common challenges users have with Postgres * and a basic overview of the technical architecture

This is a complementary talk to Will Leinweber's talk, which will go into much more depth on the architecture of the software we have written.

• the architecture
• the design and implementation of PL/pgSQL
• the difference between PL/SQL and PL/pgSQL
• the advantage and issues of PL/pgSQL