PgConf.Russia 2020

An enterprise-grade PostgreSQL requires many complementary technologies to the database core: high availability and automated failover, monitoring and alerting, centralized logging, connection pooling, etc. That is, a stack of components around PostgreSQL. Kubernetes has enabled a new model to deploy software abstracting away the infrastructure. However, containers are not lightweight VMs, and the packing of software paradigms that work on VMs are not valid on containers/Kubernetes. How should be PostgreSQL and its stack be deployed on Kubernetes? Enter StackGres. An open source software that is the result of re-engineering PostgreSQL to become cloud native. Join this talk to learn and see demos of how to generate PostgreSQL minimal containers; how the sidecar pattern is used (abused) to integrate PostgreSQL’s stack components, and how the networking and storage are handled. More info: stackgres.io.

We would like to share our test results (including performance testing) of PostgreSQL/Citrus and MongoDB for our company's data. It has been a very exciting process with unexpected turns and a somewhat controversial outcome.

Moscow public transport vehicles when moving report their coordinates via GLONASS. Collected data is used for various analyses including timetable development, bottlenecks detection and planning the bus lanes. Until recently we used the PostGIS extension for this purpose but now we are switching to a new PG extension — MobilityDB — designed especially for geodata time series processing. I have compared the table size and the performance of our solution without and with MobilityDB and happy to present the results.

Will be demonstrated in the master-class the following: 1). The benefits of declarative programming. Rapid creation of complex LUI-forms using only SQL. 2). Support for long transactions and automatic locks. An example of a wizard with a record directly in the database. 3). The multilingual fields and columns. Rapid inclusion of multilingualism in existing forms. 4). Control the coloring of data in fields and columns of the form. Typical examples. 5). Live search in input fields using the example of address input. 6). How to configure the LUI to enter and display of application-specific data. 7). Design form Master Detail with retrieving data from two different databases. 8). How end-user builds of complex data queries without using SQL.