> ## Documentation Index
> Fetch the complete documentation index at: https://docs.serial.okos.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Datetime Data

> An in-depth look at the structure and purpose of the `datetime_data` table in the Serial database

## Introduction to the Datetime\_data Table

The datetime\_data table is designed to store timestamp information for process entries in the Serial database. This table plays a crucial role in tracking temporal data associated with various processes and unique identifiers within the system.

## Table Structure

The datetime\_data table is structured to efficiently capture and organize timestamp data. Here's a detailed breakdown of its columns:

| Column Name            | Data Type                | Constraints                    | Description                                                  |
| ---------------------- | ------------------------ | ------------------------------ | ------------------------------------------------------------ |
| id                     | uuid                     | primary key, not null, default | Unique identifier for each datetime entry                    |
| company\_id            | uuid                     | not null, foreign key          | Reference to the company associated with the entry           |
| process\_entry\_id     | uuid                     | not null, foreign key          | Reference to the specific process entry                      |
| unique\_identifier\_id | uuid                     | not null, foreign key          | Reference to the unique identifier associated with the entry |
| value                  | timestamp with time zone | not null                       | The actual timestamp value being stored                      |
| dataset\_id            | uuid                     | not null, foreign key          | Reference to the dataset this timestamp belongs to           |
| created\_at            | timestamp with time zone | not null, default now()        | Timestamp of when the entry was created                      |

## Usage and Functionality

The datetime\_data table is designed to be a flexible and integral part of the Serial database system. Here are some key points about its usage:

1. **Temporal Data Storage**: The table allows for precise storage of timestamp data, including timezone information, which is crucial for accurate time-based analytics and reporting.

2. **Relational Structure**: By incorporating foreign keys to companies, process entries, unique identifiers, and datasets, the table maintains a well-connected data structure, enabling complex queries and data relationships.

3. **Indexing for Performance**: Indexes on company\_id, dataset\_id, process\_entry\_id, and unique\_identifier\_id columns ensure efficient querying and data retrieval, especially important for large-scale data operations.

## Notes

* The datetime\_data table is part of the public schema, indicating its importance in the overall database structure.

* Integration with other data types: The table works alongside other data type tables such as parametric\_quantitative and parametric\_qualitative, providing a comprehensive data storage solution.

* Usage in code:

  ```typescript
  const mapDataTypeToTableName = (dataType: DataType): string => {
    switch (dataType) {
      // ... other cases ...
      case "DATETIME":
        return "datetime_data";
      // ...
    }
  };
  ```

  This code snippet shows how the datetime\_data table is referenced when handling different data types in the application logic.

* The table's structure allows for easy expansion and integration with future features that may require timestamp data.

By leveraging the datetime\_data table, the Serial application can effectively manage and analyze time-based data across various processes and entities, enhancing its capability for temporal data handling and analysis.