Learn advanced SQL, starting with SQL basics, data types, JSON/XML, and spatial data, and covering advanced techniques for dynamic and efficient database management.

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MySQL Server

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MySQL Server (with Timezones)

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Dive into MySQL, a powerful database system for developers handling complex data structures. Learning MySQL equips you with skills for diverse applications, from web development to advanced data analysis, enhancing your ability to manage and manipulate data efficiently.

This course starts with MySQL Shell basics, leading to exploring data types and mastery of SQL statements. You will learn about user-defined variables and table expressions and delve into JSON and XML data handling. The course also covers spatial data management and advanced techniques like recursive queries and window functions. Each module builds upon the last, ensuring a comprehensive understanding of MySQL’s capabilities.

After completing this course, you will have a solid grasp of MySQL and be ready to solve intricate data problems. This expertise opens doors to advanced database roles and opportunities, elevating your career in the tech industry.

Mastering Advanced SQL Techniques with MySQL

An aggregate function takes a table with $n$ rows and yields $n$ rows.

An aggregate function takes a table with $n$ rows and yields one row.

The type of the input values is identical to the type of the output value.

An aggregate function takes a table with $n$ rows and yields $m$ rows where $m\gt 1$.

Which statement applies to aggregate functions in MySQL?

Which statement applies to aggregate functions in MySQL?

**(Select all that apply.)** Which function(s) is an aggregate function in MySQL? 

(Select all that apply.) Which function(s) is an aggregate function in MySQL?

Enable the `ONLY_FULL_GROUP_BY` mode to be able to mix aggregating and non-aggregating expressions.

SQL statements can feature non-aggregating expressions in the select list, the `HAVING` condition, or the `ORDER BY` clause, given that these expressions evaluate to a single value.

`ANY_VALUE(expression)` takes a non-aggregating `expression` and suppresses the test for the `expression`s determinism.

The aggregating expression `COUNT(*)` can be mixed with any other non-aggregating expression.

**(Select all that apply.)** While aggregating and non-aggregating expressions cannot be mixed in a `SELECT` statement, there are exceptions to this rule. What are these exceptions? 

(Select all that apply.) While aggregating and non-aggregating expressions cannot be mixed in a <code>SELECT</code> statement, there are exceptions to this rule. What are these exceptions?

An independent clause in a `SELECT` statement

What is <code>WITH ROLLUP</code> in MySQL?

`GROUPING()` can be used instead of `GROUP BY` to specify more complex grouping conditions.

`GROUPING()` can be used to distinguish aggregating from non-aggregating rows where the latter feature `NULL` values.

`GROUPING()` can be used to hierarchically order the output of a `SELECT` statement with a `GROUP BY` clause.

`GROUPING()` is a function that sorts the resulting values such that `NULL` values appear first.

**(Select all that apply.)** What does the `GROUPING()` function in MySQL achieve? 

(Select all that apply.) What does the <code>GROUPING()</code> function in MySQL achieve?

Test your knowledge of aggregate functions in MySQL.

Getting Started

Data Types

SQL Statements

Flow Control Functions

String Functions

Date and Time Functions

Aggregate Functions

Window Functions

Recursion

JSON and XML

Spatial Data

Mastering Advanced SQL Techniques with MySQL

Conclusion

Quiz: Aggregate Functions