PgConf.Russia 2016

Recent Update about Postgres Adoption in China. Postgres is getting its momentum in China, especially in 2015, one of the biggest insurance company is adopting Postgres, and Alibaba is providing Postgres service in their public cloud, also there are a lot of significant progress about the adoption. This talk will give an overview about the Postgres adoption in 2015 in China.

Schema-less is definitely a trend in the data storage nowadays, and it's not only about NoSQL, but also about traditional RDBMS. Many relational databases (e.g. PostgreSQL, Oracle, db2, Mysql) allow to storing data in the schema-less json format and use their own more or less unique way to do that.

This talk contains two parts:

• Comparison of the json support in PostgreSQL and different relational databases, namely Mysql, Oracle, db2, MSSql in terms of supported features, functions and so on.
• Performance benchmarks for databases with the advanced json support, namely PostgreSQL and Mysql, and the MongoDB on different workload types and configurations.

• First aquaintance
• Fight with replication
• Partitioning and migration
• Cross data-center use
• v8, json, jsonb, jsquery
• Version upgrade

PostgreSQL includes several index types: GiST, SP-GiST, GIN, and of course, the regular B-tree. DBAs are familiar with using each of these for specific use cases, GIN for full-text search, GiST for geometrical data, and so on, but how do they work internally? What makes them suitable for the cases they're typically used for?

In this presentation, I will walk through the internal structure of each of these index types, explaining what strengths and weaknesses each one of them have.