M Query Guide

Examples

M Database Query

Querying a Database

M database query uses Sql.Database for SQL Server data.

Introduction to M Database Queries

M language, used in Power Query, offers a robust way to connect and extract data from SQL Server databases using the Sql.Database function. This enables users to perform data transformations and analysis directly within the Power Query editor.

Using Sql.Database Function

The Sql.Database function is essential for establishing a connection to a SQL Server database. It requires the server name and database name as basic parameters. Optionally, you can include authentication credentials and other connection settings.

Querying Data from SQL Server

Once connected to the database, you can execute SQL queries to retrieve data. You can write a native SQL query within the Sql.Database function to specify the data you need. Here is an example of how to execute a SQL query to select data from a table:

Filtering Data with M Language

After retrieving the data, you can use M language to filter and manipulate the data further. For instance, you can filter rows, select specific columns, or perform aggregate functions. Here’s an example of filtering data to include only certain rows:

Advanced Querying Techniques

For more advanced querying, you can utilize joins, group by operations, and other SQL features directly in your M queries. This allows for complex data retrieval and transformation tasks right from Power Query. Here is an example of joining two tables:

Conclusion

By leveraging the Sql.Database function in M language, users can efficiently query SQL Server databases, perform data transformations, and prepare data for further analysis. This integration provides a powerful toolset for data analysts and developers working within the Power Query environment.

Examples

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Data Cleaning Query