PgConf.Russia 2016

We love to stress test software, since we are a performance engineering company. Our friends from a hosting company servers.com provided us with a modern dedicated server so we immediately started to test PostgreSQL in different environments, including SmartOS, DragonFly and Windows. We would like to present our results (and all the gory details) to community.

Alibaba has provided a relational database service (RDS) for postgres in our public cloud platform (aliyun.com, the currently biggest public cloud in China). We are also enabling internal applications to use postgres in our other internet business and we can share our experience

CitusDB is an extension for PostgreSQL that can distribute tables across a cluster of PostgreSQL servers. Data is stored in shards that can use append-partitioning for bulk-loading of time series data or hash-partitioning for real-time data ingestion. SELECT queries on distributed tables are transparently parallelised across the cluster, using all available cores. Distributed tables can also be joined in parallel, even if they are not partitioned along the same column. CitusDB is especially suitable for real-time analytics use-cases such as dashboards which require fast analytical queries over live data, and can simultaneously act as a scalable operational database. This talk will describe the internals of CitusDB and give a live demo of a large-scale CitusDB cluster.

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