Class For Working With Databases In A Simplified Manner
This software component for MetaTrader 5 is built to enhance the capabilities of your trading environment. This library provides a collection of modular, reusable code. It is utilized by developers to organize common functions, allowing for the integration of complex logic across multiple Expert Advisors, indicators, or scripts without the need for code duplication.
How to Setup and Use Class For Working With Databases In A Simplified Manner
1. Storage: Place library files in the MQL/Libraries directory to ensure they are accessible to your projects.
2. Implementation: Include the library in your code using the #import directive, ensuring you match the exact function names and parameters.
3. Compilation: Ensure the library is present in the directory before you compile your main EA or script, as the compiler links them during this phase.
4. Management: Keep libraries organized in sub-folders if you manage many custom functions to maintain a clean project structure.
Frequently Asked Questions
Q: What is a library file used for? A: Libraries store reusable code modules, allowing you to centralize common logic used by multiple EAs or indicators.
Q: Is a library executable? A: No, libraries are non-executable files containing functions; they must be imported into an EA, indicator, or script to function.
Q: Can I update a library while the platform is running? A: You should compile your EA or script after updating a library to ensure the latest code changes are integrated.
Description & Settings
Having desired to work with SQLite database for the purpose of storing my statistical generated from simulations, i noticed very early that it seems very challenging and time consuming to work with database built in functions. I then decided to create a simplified class and functions to make my work easy.
To use the class a developer simple has to include the file in the code, call object databases.xxxxfunction_name().
It has served me very well in extracting and saving thousands of datapoints.
Thanks.
