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Revit API Development: Managing Database Operations Using MySQL

Recently, I have been researching how to quickly convert CAD data into Revit data. CAD drawings often contain a wealth of information in DWG files that cannot be found in RVT files. Therefore, my focus has been on efficiently importing data from CAD files into Revit.

Initially, I used the third-party tool Teigha and its DLL files for further development. This allowed me to directly collect CAD data into Revit for clarity. However, after working on numerous projects, I noticed that much of the data was repetitive, complex, and standardized. For example, every project includes a building area, FM data, and other common elements. Repeating the same operations in every project felt inefficient for developers.

At first, I considered using artificial intelligence to identify and automate these tasks, but I currently lack sufficient foundational data for this approach. Instead, I adopted a simpler method by creating a database to store CAD data, establishing a project library. In the future, Revit could directly extract data from this database.

Below is the testing process for using the database:

  1. Download a database management tool such as Navicat;Revit Secondary Development | Database Operations (Taking mySQL as an Example)
  2. Create a new table with the required attributes, as shown below:Revit Secondary Development | Database Operations (Taking mySQL as an Example)
    You can perform this manually with software or programmatically, depending on your preference.
  3. Once the table is created, test database operations using code as shown below:Revit Secondary Development | Database Operations (Taking mySQL as an Example)
  4. Invoke the database operation class methods within the Revit environment as demonstrated:Revit Secondary Development | Database Operations (Taking mySQL as an Example)
  5. After compiling, run the program in Revit and successfully refresh the database tables. The results are shown below:Revit Secondary Development | Database Operations (Taking mySQL as an Example)

This concludes the test process. If you have any questions or would like to discuss further, please leave a comment!

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