The Complete Beginner to Advanced PostgreSQL Course 2024

Explore PostgreSQL data types from numeric and character types to jsonb, arrays, and geometric types; learn defining columns, casting, data validation, and indexing.

The video explains the primary key as a unique identifier for each record, highlighting its uniqueness, not null requirement, automatic indexing, data integrity, and declaration with constraints or auto increment.

Discover how PostgreSQL uses operators and functions to perform arithmetic, comparisons, and data transformations; learn built-in and user-defined functions for querying and aggregating data.

Explore database design principles for a well-structured, scalable PostgreSQL schema, including normalization, ER modeling, data integrity constraints, indexing, query optimization, flexibility, security, and thorough documentation.

Explore how normalization organizes data in a relational database to reduce redundancy and anomalies, guided by 1NF, 2NF, and 3NF. Decompose into customers, orders, and order details via functional dependencies.

Explain how the references keyword creates a foreign key relationship by linking a current table's foreign key to a target table's primary key, ensuring referential integrity.

Explore entity relationship modeling to design and visualize database structures with ER diagrams, detailing entities, attributes, relationships, primary keys, and foreign keys for a PostgreSQL schema.

Learn about the one to one relationship, emphasizing uniqueness, bi directionality, and referential integrity enforced by foreign keys, illustrated with an employee and employee details example.

Explore one to many relationships in relational databases, where a parent table has multiple child records via a foreign key, as shown by department and employee examples and referential integrity.

Explore many-to-many relationships in relational databases by using an intermediate table with foreign keys to enforce referential integrity, illustrated by student-course enrollments and other examples.

Explore how PostgreSQL constraints enforce data integrity by applying primary key, foreign key, unique, check, and not null constraints to table columns, preventing duplicates and invalid data.

Explore how primary keys, foreign keys, unique constraints, check constraints, and not null constraints enforce data integrity in PostgreSQL tables, with practical create table examples.

Discover how indices speed data retrieval in PostgreSQL by indexing columns or expressions with b-tree, hash, gin, gist, and partial or spatial indexes.

Learn how PostgreSQL transactions group multiple operations into a single, atomic unit using begin, commit, and rollback, ensuring data integrity during money transfers and error handling.

Learn how to filter data in PostgreSQL using the where clause with select statements, applying single and multiple conditions, comparison operators, pattern matching, and logical operators.

Sort data in PostgreSQL using the order by clause to arrange results by columns. Choose ascending or descending order and sort by multiple columns or expressions like len(first_name) and len(last_name).

Master how to combine data across tables using inner, left, right, and full joins in PostgreSQL, demonstrated with orders and customers and a join condition.

Learn how the like clause performs pattern matching in SQL using where, with percent and underscore wildcards, and how ilike handles case-insensitive searches.

Master the ilike clause for case-insensitive pattern matching in PostgreSQL, using the like syntax with % and _ wildcards to search text in a column, demonstrated with examples.

Learn how the distinct operator removes duplicates and returns unique values from one or more columns in PostgreSQL, with examples and a note on performance on large datasets.

Learn how limit and offset in SQL control the number of rows returned and the starting point for fetch, enabling pagination and efficient navigation of large datasets.

Explore subqueries in PostgreSQL, including nested queries in select, from, where, and having clauses, with examples using a products table to filter by average unit price and compute aggregates.

Master the not exists clause by using correlated subqueries to filter employees without matching departments, illustrating outer and inner table relationships and practical data retrieval.

Explore how the having clause filters groups after a group by, using aggregate functions such as sum and average, with syntax and practical examples.

Learn how upsert works in PostgreSQL by using insert on conflict to update existing rows or insert new ones, guided by a unique constraint and the excluded table.

Learn to add a new column to an existing table using the alter table statement, with a practical orders example showing syntax, data type, and optional constraints.

Explore common table expressions (CTEs) in PostgreSQL and how the with clause defines temporary result sets within a query to simplify complex, modular subqueries.

Explore window functions in sql, using the over clause to define partitions and order rows, and apply analytic and ranking functions for moving averages and cumulative sums.

Explore the rank function as a window function that assigns unique ranks within each partition by a specified order, showing how ties lead to not consecutive rankings.

Learn how to define procedures in PostgreSQL with create procedure, accept input parameters, and return results using output parameters. Explore invoking procedures via code blocks and example calculations in plpgsql.

Explore PostgreSQL recursive queries using a with recursive common table expression, including base and recursive members, termination conditions, and practical use cases like hierarchical data and traversing graphs.

learn to create and manage user accounts, define roles, and control access to database objects with privileges such as select, insert, update, delete, and execute, plus grant and revoke.

Learn how to create users and roles in PostgreSQL, assign privileges, set passwords, and configure attributes like superuser and login restrictions for user and group management.

Learn how acls define granular access control for database objects, granting privileges like select, insert, update, delete, and execute on tables, views, schemas, with default privileges and schema-level controls.

Learn how to list PostgreSQL users and roles using the system catalog and user views, querying role names and usernames with select statements, while passwords remain hashed and hidden.

learn to list row level security policies in PostgreSQL by querying the policy system catalog, displaying policy name, schema, table, and associated command and permission.

Explore PostgreSQL transaction isolation levels and how they balance concurrency and consistency, including read uncommitted, read committed, serializable, and serializable snapshot.

Mvcc, or multiversion concurrency control, lets PostgreSQL process concurrent transactions by maintaining multiple row versions and a consistent snapshot, enabling read and write isolation with garbage collection.

Discover how savepoints enable nested transactions, partial rollbacks, and named savepoints to control PostgreSQL transactions, with practical examples of commit and rollback.

Understand how deadlocks occur in SQL due to circular dependencies and locks, how detection and rollback resolve them, and how to prevent them with consistent lock ordering and shorter transactions.

Learn how vacuum reclaims storage by removing dead tuples to prevent table bloat and transaction id wraparound, using autovacuum and manual vacuum with verbose and analyze to maintain database health.

Explain statement analyzes and displays the execution plan for a query, showing the sequence of operations, access methods, and cost estimates to aid query optimization and bottleneck identification before execution.

Master SQL query tuning by analyzing execution plans, identifying bottlenecks, and improving performance through indexing, query rewriting, and configuration adjustments such as work_mem and parallelism.

Learn how the analyze command collects and updates statistics on table and index data distribution to guide the query planner, estimate rows, and choose join and access methods.

Master PL/pgSQL programming in PostgreSQL by building stored procedures, functions, and triggers that encapsulate business logic, handle transactions, and manage exceptions to ensure data integrity.

Learn how plpgsql improves database performance by moving complex logic near the data, enables stored procedures and triggers, and enhances security, modularity, and transaction control.

Explore the use cases of PL/pgSQL programming, including data processing and transformations, business logic, stored procedures, transaction control, triggers, performance optimization, error handling, and dynamic SQL with external system integration.

Learn how variables in PL/SQL act as containers to store data, how to declare and initialize them with declare and begin blocks, assign values, and use them in queries.

Declare variables in PL/SQL by creating a function to compute a rectangle's area, declaring an area variable, and returning the calculated value from length and width.

Discover how plpgsql blocks use begin and end to form a compound statement that groups SQL and procedural statements, with optional label and declare sections, and support for error handling.

Explore control structures in plpgsql, including if, then, else, case, loop, while, and for. These constructs enable conditional execution and iteration within stored procedures, functions, and triggers.

Learn how to implement if-then-else in PL/pgSQL to conditionally execute code, declare a variable, and raise notices based on whether a number is positive or not.

Master the case statement in PL/pgSQL, selecting alternatives based on an expression. Learn its syntax with case when condition then, else, and end case, and see a ray variable example.

Explore the for loop control structure in pl/sql and plpgsql to execute a code block a number of times by iterating over a value range, with 1 to 5 examples.

Learn how to implement a while loop in pl sql, using a variable i, a true condition, and i plus one to produce finite iterations and outputs for each step.

Explore the main error types in pl/pgsql, including sql errors, runtime errors, exception errors, and custom errors, and learn handling techniques like exception handling, logging, reporting, and transaction management.

Explore PL/pgSQL exception handling using begin, exception, and block structures and the raise statement. Handle specific errors like undefined table with when others, boosting code robustness.

Explore how plpgsql functions encapsulate logic into reusable units, accept input parameters, and optionally return values, enabling procedural logic with loops and exception handling in SQL.

Explore cursors in pl/pgSQL to iterate over a query’s result set by declaring, opening, fetching, processing, and closing each row, with an employees table example.

Explore how the raise statement in PL/SQL explicitly raises exceptions to generate custom error messages within an exception block. Learn its basic syntax, including the level and default message.

Create or replace functions in PostgreSQL to encapsulate logic in the database. Define parameters, return types, and declare local variables, then implement the function body in plpgsql.

Explore parameters and return values in PL/pgSQL to create flexible functions. Learn about input parameters, data types, and return statements using an add numbers example.

Learn how procedures in SQL and PL/SQL encapsulate actions and side effects, accept input parameters, and modify data with robust error handling and commits.

Differentiate procedures and functions in Pgsql by purpose: functions compute and return values and are used in sql queries; procedures perform actions with side effects and not return a value.

Explore how triggers in PostgreSQL automatically execute on events like insert, update, or delete, with before or after timing and row-level or statement-level scope.

Learn about trigger execution time in PostgreSQL, distinguishing before and after triggers, how before triggers modify data before write, while after triggers audit, log, and update related tables.