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bash -- cat table-module.md
guest@codeandosimple: ~/enterprise/patterns $ cat table-module.md

Table Module_

// "I can accept failure, everyone fails at something. But I can't accept not trying"

The Table Module pattern organizes business logic in classes or modules where each one represents a table in the database, and the methods of this class operate on the table's records.

# When to use it?

This pattern is especially useful in applications with a complex data model where business operations are closely related to the database table representations. In this model, each class or table manages its own responsibilities.

# Pros

  • verified

    Clear Organization

    Business logic aligned with the database schema.

  • verified

    Code Reusability

    Centralizes logic in a single place, avoiding duplicates.

  • verified

    Teamwork

    Independent modules allow multiple teams to work simultaneously.

# Cons

  • warning

    Coupling

    High dependency on the database table structure.

  • warning

    Transversal Inefficiency

    Less efficient when operating across multiple tables is required.

# Detailed Example in Java

Let's see an example of how a Table Module could be implemented to handle operations on a Students table.

StudentsModule.java

public class StudentsModule {
    private Database db; // our database abstraction

    public StudentsModule(Database db) {
        this.db = db;
    }

    public void addStudent(String studentId, String name, String email) {
        // Adds a new student to the table
        db.execute("INSERT INTO students (id, name, email) VALUES (?, ?, ?)", studentId, name, email);
    }

    public void updateStudentEmail(String studentId, String newEmail) {
        // Updates the student's email address
        db.execute("UPDATE students SET email = ? WHERE id = ?", newEmail, studentId);
    }

    // Other methods related to operations on the students table
}

This module encapsulates all operations related to the Students table, providing a centralized point to manage this data.

# Conclusions

It is an excellent choice for applications with business logic aligned with the database structure. However, its effectiveness decreases when needs are more transversal or if the schema changes frequently. Choose the approach that best suits your system.