Embedded Data Manipulation Language (EDML)

 

Embedded Data Manipulation Language (EDML) is a type of programming language that is designed to be embedded within another programming language, such as C, Java, or Python. EDML allows developers to perform database operations within the context of their application code, without needing to switch between different programming languages or tools.

EDML commands are typically embedded within the code of the host programming language, using special syntax that allows the EDML commands to be recognized and executed by a database management system (DBMS). This allows developers to work with data stored in a database directly from within their application code, without needing to use a separate tool or interface.

Some common EDML commands include SELECT, INSERT, UPDATE, and DELETE, which are similar to the commands used in IDML. However, EDML commands are typically integrated within the code of the host programming language, which allows for greater flexibility and customization of the database operations being performed.

EDML also supports a wide range of functions, which can be used to manipulate and transform data within the context of the host programming language. For example, developers can use EDML functions to perform mathematical operations, string operations, or date/time operations on data stored in a database.

One of the key benefits of using EDML is that it allows developers to create highly customized database operations that are tightly integrated with their application code. This can lead to more efficient and streamlined code, as well as improved performance and scalability.

In summary, EDML is a powerful tool for integrating database operations within the context of a host programming language. It allows developers to work with data stored in a database directly from within their application code, using a familiar syntax and a wide range of functions. This can lead to more efficient and effective development processes, as well as improved performance and scalability of the resulting application.