PgConf.Russia 2017

Citus allows you to distribute postgres tables across many servers. It extends postgres to transparently delegate or parallelise work across a set of worker nodes, enabling you to scale out the CPU and memory available for queries.

One year ago, we began a long journey to allow Citus to scale out another dimension: write throughput. With writes being routed through a single postgres node, write throughput in Citus was ultimately bottlenecked on the CPUs of a single node. Citus MX is a new edition of Citus which allows distributed tables to be used from from any of the nodes, enabling NoSQL-like write-scalability.

This report overviews some ideas and implementations to speedup different parts of generalized search trees (GiST): 1. Intrapage indexing 2. Fractal tree technology 3. Modern algorithms for spatial indexing (RR*-tree) 4.. Possible advancements of GiST API

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MoySklad online service includes important component - semiautomatic database conversion framework. Its history and supported conversions are subject of this speech.

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In the data persistence layer, using PostgreSQL from the very start of development, we went all the way from a small cluster on a virtual machine to a multi-host system that provides near real-time processing of mixed OLTP/OLAP load. In this talk, I’m going to tell you about the main development stages of our analytical solution at the application and infrastructure levels, and describe the specifics of using PG that we encountered.

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