PGConf.Russia 2022

The talk covers the use of PostgreSQL, LUI and LUI4ORA2PG for building an analytical reporting system.

The talk tackles the following topics:

• migration from an Oracle environment;
• application of JSON functions;
• how the temporary tables helped us;
• our own means for load testing and bottlenecks detection;
• how to make beautiful GeoJSON format maps to display diagrams on them;
• installation and testing of the system on an "Elbrus" computer;
• what became an obstacle or was missing when using PostgreSQL.

The history of growth of the Live Universal Interface (LUI) web application development tool and the LUI4ORA2PG migration tool can be found in our previous presentations at PGConf conferences:

https://pgconf.ru/2019/118109 ;

https://pgconf.ru/201911/264095 ;

https://pgconf.ru/2020/262456 ;

https://pgconf.ru/2021/288310 .

Many books end with a wedding, but the reader has no idea about the future life of the heroes except that they lived happily ever after. In 2019, we successfully migrated distributed our railway application from Oracle 11g SE to vanilla PostgreSQL 11.9. But our story did not end with this successful migration - life went on, and sometimes we got startled because of "surprises". We encountered a number of problems, some of which were solved by reorganizing the data, some disappeared after we changed our stored procedures, and some got resolved after tuning the PostgreSQL parameters. Solving our problems would be impossible without the logging and profiling system built into our DB application. Our talk covers the examples of successful detection and resolving of the performance issues that occurred in our PostgreSQL-based application.

Our talk reviews the modern tools for administering PostgreSQL. It also covers the DBMS's performance bottlenecks and provides approaches to resolving the related issues. The presentation tackles the problems that occur while Oracle to Postgres migrations including the following: performance tuning tools (the analogues of AWR and ASH); monitoring tools (the analogues of Cloud Control); ensuring high availability and reliability of the database (grid infrastructure analogues); known "database performance bottlenecks"; an overview of options for technical support options SLAs.

The volume of data stored in Postgres Pro databases is growing rapidly. In some organizations, such databases have already exceeded tens of terabytes in size. The existing approaches to backups don't ensure timely backup and restore of data in such cases. We have supplemented the well-known and well-tested Postgres Pro backup tools with functionality that will allow users to backup and restore large databases. In addition to that, we have created our solution with the convenience of DBAs in mind.