PGConf.SPB 2023

In modern data analysis, machine learning models are used as often as databases. Such IT giants as Google and Amazon have already combined them. Microsoft and Yandex are not far behind. Isn't it time to implement a machine learning model in PostgreSQL? In the report you will hear about the basics of machine learning, its implementation in databases and an example of realization as postres extension.

We will answer the questions about the importance of compression in backup process. Will show a demo how to use the following available algorithms: pglz, zlib, zstd, lz4 in different editions of pg_probackup. We'll show you how to make incremental backups and restore even faster with PTRACK and CFS (tablespace compression) in Postgres Pro. The plans for further development will also be announced.

Postgres Pro is investing heavily to make it easy for customers to migrate to their database from Oracle Database.

This talk describes in detail the advanced Postgres Pro DBMS technologies designed to solve this problem:

• support for package functionality in PL/pgSQL, including the package initialization section and global package variables;
• ora2pgrpo utility for automatic conversion of package code from Oracle PL/SQL syntax to PL/pgSQL;
• PG Pro Application Info extension designed for instrumentation and monitoring of the state of sessions, including the execution of long operations (session longops) - a functional analogue of the package DBMS_APPLICATION_INFO in Oracle DBMS;
• new system packages UTL_MAIL and UTL_SMTP for sending emails from stored procedures to Postgres Pro DBMS (full functional analogue of the corresponding packages in Oracle DBMS);
• new system package UTL_HTTP for interacting with external sources from stored procedures in Postgres Pro DBMS (analogous to the package of the same name in Oracle DBMS);

Also in this talk there will be a short story about the directions of development of the Postgres Pro DBMS aimed at further simplifying migration from Oracle DBMS.

Unfortunately, ideal computer systems exist only in science fiction books. PostgreSQL is not exception and sometimes problems may occur. I would like to discuss how to correctly (and incorrectly) try to solve a problem, which way to choose, which tool to use.

The talk is of interest to both beginners and experienced users and database administrators.