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The M Code Behind the Power Query M function MySQL.Database

In this article, we will explore the M code behind the Power Query M function MySQL.Database. We will begin by discussing what MySQL is and why it is popular among developers and data analysts. Then, we will delve into the M code behind the MySQL.Database function and provide examples of how it can be used to extract and transform data from MySQL databases.

What is MySQL and why is it popular?

MySQL is an open-source relational database management system (RDBMS) that is widely used by developers and data analysts. It was created in 1995 by Swedish developers Michael Widenius and David Axmark and is now owned by Oracle Corporation.

MySQL is popular for several reasons. Firstly, it is free and open-source, which means that anyone can use it without paying licensing fees. Secondly, it is cross-platform, which means that it can run on a variety of operating systems, including Windows, Linux, and MacOS. Thirdly, it is highly scalable and can handle large volumes of data.

MySQL is also known for its ease of use and flexibility. It supports a wide range of data types, including integers, floats, strings, and dates, and can be easily integrated with other tools and programming languages.

The M code behind the MySQL.Database function

The MySQL.Database function is a Power Query M function that is used to establish a connection to a MySQL database and retrieve data from it. The function takes several parameters, including the server name, database name, username, and password.

Here is an example of the M code behind the MySQL.Database function:

let

Source = MySQL.Database(“localhost”, “mydatabase”, [Username=”myusername”, Password=”mypassword”])

in

Source

In this example, we are connecting to a MySQL database hosted on the local machine, with the database name "mydatabase" and the username and password "myusername" and "mypassword", respectively.

Once the connection has been established, we can use the Source variable to retrieve data from the database. For example, we can use the following code to retrieve all the rows from a table called "customers":

let

Source = MySQL.Database(“localhost”, “mydatabase”, [Username=”myusername”, Password=”mypassword”]),

customers = Source{[Schema=”mydatabase”,Item=”customers”]}[Data]

in

customers

In this example, we are using the Source variable to retrieve data from the "customers" table in the "mydatabase" database, and storing it in a variable called "customers".

We can also use the MySQL.Database function to execute SQL queries against the database. For example, we can use the following code to retrieve the total number of customers in the "customers" table:

let

Source = MySQL.Database(“localhost”, “mydatabase”, [Username=”myusername”, Password=”mypassword”]),

query = “SELECT COUNT() FROM customers”,

result = Source{[Schema=”mydatabase”,Query=query]}[Data]{0}[Column1]

in

result

In this example, we are using the Source variable to execute an SQL query that retrieves the total number of rows in the "customers" table, and storing the result in a variable called "result".

The MySQL.Database function is a powerful tool for extracting and transforming data from MySQL databases using Power Query. By understanding the M code behind this function, you can create custom data transformations that meet your specific needs and requirements. Whether you are a developer or a data analyst, MySQL and Power Query provide a powerful combination of tools for working with data.

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