What you'll learn
Foundations of table partitioning in PostgreSQL
Declarative and inheritance partitioning in PostgreSQL
Why and when use different types of the partitioning
Skills to analyze conditions for the partitioning introduction

Requirements
Basic knowledge of PostgreSQL
Docker installed on local machine
Basic knowledge of SQL language (SELECT, INSERT, DELETE, UPDATE statements)

Description
The partitioning is one of the important PostgreSQL features which may help you not only improve the performance of your application but also make your life easier as a software developer or database administrator. One of the reason why I created this course is to understand how right the popular statement that the partitioning make sense for tables which size is greater than 2GB. Also in the Internet it's possible to find many statements saying that the partitioning improves the maintainability and availability but what it means in practice. What exactly from the maintainability and availability point of view can be improved by using the partitioning. Another reason is in my practice it happened pretty often that the developers were experiencing issues with understanding when the partitioning has to be introduced. So I hope this course will help you to recognize the need in the partitioning in your projects.In this course we will look how we can analyze the query performance to understand we will get the benefits from the partitioning. Also I will show what particular advantages the partition may provide from availability and maintainability point of view. Also we will discuss different approaches for the partitioning among PostgreSQL versions and different types of the partitioning.There are practical lessons where you find the step by step instructions for the performance analysis and partitioning implementation.

Overview
Section 1: Introduction

Lecture 1 Introduction

Lecture 2 What is partitioning

Lecture 3 Prepare demo database

Section 2: When we should use partitioning

Lecture 4 Analyze query performance

Lecture 5 Practice. Analyze query performance

Lecture 6 Analyze availability

Lecture 7 Practice. Analyze availability

Lecture 8 Analyze maintainability

Lecture 9 Analyze of table size

Section 3: The partitioning implementation

Lecture 10 Constraints

Lecture 11 Overview of the partitioning implementations

Lecture 12 Partition key. Data routing

Lecture 13 Partitioning by Range

Lecture 14 Practice. Partitioning by Range

Lecture 15 Partitioning by List

Lecture 16 Practice. Partitioning by List

Lecture 17 Partitioning by Hash

Lecture 18 Practice. Partitioning by Hash

Lecture 19 Constraint exclusion and partition pruning

Lecture 20 Partition level settings

Section 4: Limitations of partitioning

Lecture 21 Primary key limitations

Lecture 22 Index limitations

Section 5: Effect of partitioning

Lecture 23 Analyze query performance

Lecture 24 Analyze availability

Software developers,Database administrators,Web developers,Site reliability engineer

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