PgConf.Russia 2016

Enterprises need enterprise-level databases. The existing Postgres clustering solutions are not supported by the community. Postgres needs a community-supported cluster solution. There have been multiple attempts like Postgres-XC/XL, but they are still being developed separately and have low chance to be accepted by the community. Other solutions, like pg_shard, plproxy, FDW-based, etc. lack the notion of global transactions. We developed a Distributed Transaction Manager (DTM) as a Postgres extension to achieve global consistency over a number of Postgres instances. To demonstrate the capabilities of the DTM we present examples of distributed transaction processing using pg_shard and postgres_fdw. We hope that the proposed approach will be included into Postgres 9.6. This will make the development of the clustering solutions easier for all interested parties.

In addition to providing a general purpose web platform, Heroku has a large, supporting Postgres service. Over the years, we've learned a lot about running Postgres at scale.
In this talk, we'll cover:

• why Postgres is attractive to run as a cloud service
• how to provision, manage, and monitor a Postgres fleet
• tradeoffs needed to make Postgres work in this environment
• automating failure recovery
• and more

When new versions of Postgres are released most of the attention is focused on new features. Inevitably a release note claiming speed improvements seems relatively mundane and doesn't provide the compelling argument for upgrading. However the reality is that these speed improvements represent pain points that have been identified and solved.

Reviewing the changes to the sort code in Postgres over the last 10 years clearly shows the kinds of problems users have run into. As usage patterns changed over years, databases scaled up, and hardware changed new problems arose and drove further development to solve them.

Upcoming changes in 9.5 and 9.6 will dramatically change the experience further. Making sorting UTF8 and other encodings less of a problem and handling scaling to larger machines with many processors and memory cache more effectively.

In late 2006, the 1C company has implemented to work 1C:Enterprise platform with DBMS PostgreSQL, which can operate under the operating systems Windows or Linux. The talks will attempt to summarize the experience of sharing the platform 1C:Enterprise with PostgreSQL database since 2008. Consideration will be given a few success stories, technical features of the work are examples of specific tasks, offers advice on selecting and cons. The talk may be of interest to employees of companies considering the option of using PostgreSQL for the 1C:Enterprise, DBA, professionals interested in the possibility of extensibility PostgreSQL.