PgConf.Russia 2016

Method of automated refresh of preprocessed results of analytis reports is provided. Preprocessing and caching of reports allows ability for fast response for big data reports. Author describes the way of reports cache refreshing with minimum server loads and tuned actualization rate.

Architecture features of IBM Power 8 allowing to gain high performance in comparison with x86_64. CPU, memory, IO etc. Experience of real benchmarking.

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.

In the speech we consider the current PostgreSQL planner model, then the possibilities of applying machine learning methods for planner improvement and the obtained results.