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Writer's pictureBenito Ramirez

Dynamics 365 Business Central Development: Queries

Dynamics 365 Business Central offers a robust and versatile platform for managing business processes. Among its many features, the ability to develop and use Queries is particularly powerful for data retrieval and manipulation. In this Dynamics 365 Business Central development post, we will explore the nuances of developing Queries in Dynamics 365 Business Central, compare the query object to the report object, contrast it with SQL view functionality, and discuss key Query properties and join types. 


Understanding Query Objects 

In Dynamics 365 Business Central, a Query object is used to extract data from multiple tables and present it in a structured manner. Queries enable users to retrieve, filter, and aggregate data without modifying the underlying database. This is particularly useful for generating custom reports, dashboards, and data exports. 


Query Object vs. Report Object 

While both Queries and Reports can be used to retrieve and present data, there are significant differences in their functionality and use cases. 


Similarities: 

  • Both can retrieve data from multiple tables. 

  • Both support filtering, sorting, and grouping of data. 

  • Both can be used to generate outputs such as reports or data exports. 


Dissimilarities: 

  • Purpose: Queries are primarily designed for data retrieval and manipulation, whereas Reports are designed for formatting and presenting data in a readable format. 

  • Design: Queries use a more structured and simplified design approach with a focus on data relationships and joins, while Reports offer extensive formatting and layout customization options. 

  • Output: Queries output data in a tabular format, making them ideal for data analysis and integration with other systems. Reports can include charts, graphs, and other visual elements, making them suitable for end-user consumption. 


Query Properties and Join Types 

When developing Queries in Dynamics 365 Business Central, several properties and join types are crucial to understand for effective data retrieval. 


Key Query Properties 

  • Column: Defines the fields to be included in the Query result. 

  • Filter: Specifies conditions to filter the data retrieved by the Query. 

  • DataItemLink: Establishes relationships between different tables in the Query. 

  • OrderBy: Determines the sorting order of the Query results. 

  • GroupBy: Groups the Query results based on specific fields. 


Join Types 

Understanding the various join types is essential for creating efficient Queries: 

  • Inner Join: Retrieves only the records that have matching values in both tables. This join type is used when only related data from both tables is needed. 

  • Left Join (Left Outer Join): Retrieves all records from the left table and the matched records from the right table. Unmatched records from the right table will be null. This is useful when you want to include all records from the primary table, regardless of whether there is a match in the secondary table. 

  • Right Join (Right Outer Join): Retrieves all records from the right table and the matched records from the left table. Unmatched records from the left table will be null. This join type is less common but useful in specific scenarios. 

  • Full Join (Full Outer Join): Retrieves all records when there is a match in either the left or right table. This join includes all records from both tables, with nulls for non-matching rows. 


Example

The following Query will provide the sum of the Quantity field from the Item Ledger Entries for each Item No. followed by Description and Description 2 from the Item table.

Example query

Conclusion 

Developing Queries in Dynamics 365 Business Central is a powerful way to retrieve and manipulate data for various business needs. While Queries and Reports share some similarities, they serve different purposes and are used in distinct scenarios. Understanding Query properties and join types is essential for creating efficient and effective Queries. By leveraging these tools, businesses can gain deeper insights and make more informed decisions based on their data. 

 

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