What is the process for organizing the dates in the database?

The process of organizing dates in a database involves meticulous attention to detail and adherence to best practices for efficient storage and retrieval of date-related information. Let's delve deeper into the specifics:

1. Choosing Appropriate Data Types: It is essential to select the correct data type for date columns in the database schema. This choice impacts how dates are stored and manipulated. Common date data types include:
  - DATE: Suitable for storing a date without a time component.
  - TIME: Ideal for storing a time value without a date component.
  - DATETIME: This type stores both date and time information.
  - TIMESTAMP: Often used to track changes or additions to a row and automatically updates to the current date and time when the row is inserted or updated.

2. Input Validation: When inserting or updating date values, rigorous input validation is necessary to maintain data integrity. This involves ensuring that the provided date adheres to the required date format, handling time zone considerations if applicable, and validating that the date falls within the acceptable range to prevent erroneous data entries.

3. Indexing Date Columns: Creating indexes on date columns can significantly enhance query performance, particularly when dealing with large datasets. An index on date columns allows the database system to swiftly locate relevant rows, leading to expedited query execution.

4. Utilizing Date Functions: Database management systems (DBMS) offer a range of date functions that can be utilized to manipulate date values, perform date arithmetic, and extract specific components from dates. Examples include:
  - DATEADD: Adds a specified time interval to a date.
  - DATEDIFF: Calculates the difference between two dates.
  - DATEPART: Extracts a specific part of a date, such as year, month, or day.

5. Internationalization and Localization Considerations: In a global context, it is crucial to consider internationalization and localization when working with dates in a database. This involves handling various date formats, accommodating language-specific date representations, and addressing different calendar systems to ensure that the application is accessible and user-friendly for a diverse global audience.

By meticulously addressing these aspects and leveraging the capabilities of the chosen DBMS, the process of organizing dates in a database can be optimized to ensure accurate, efficient, and globally accessible date management.

The goal is to improve the database structure by eliminating the duplicated field "namenomer" from the "main" table, which violates the second normal form because it is already present in the "allnomer" table.

Although the query currently works with the existing structure, it can be further optimized by directly obtaining the number type from the "main" table. However, it is recommended to normalize the database structure instead of taking this shortcut.

When we talk about defragmentation, we refer to the process of reorganizing the data on a disk so that it is stored in contiguous areas and not fragmented across the disk. This helps in improving the efficiency and speed of data retrieval and storage. In addition, it can also help in optimizing the use of storage space.

Could you provide some context or specific situation where you would like to defragment the database? And do you need assistance with filling in the missing dates in the database?"