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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.

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Table Structure

The datetime_data table is structured to efficiently capture and organize timestamp data. Here’s a detailed breakdown of its columns:
Column NameData TypeConstraintsDescription
iduuidprimary key, not null, defaultUnique identifier for each datetime entry
company_iduuidnot null, foreign keyReference to the company associated with the entry
process_entry_iduuidnot null, foreign keyReference to the specific process entry
unique_identifier_iduuidnot null, foreign keyReference to the unique identifier associated with the entry
valuetimestamp with time zonenot nullThe actual timestamp value being stored
dataset_iduuidnot null, foreign keyReference to the dataset this timestamp belongs to
created_attimestamp with time zonenot null, default now()Timestamp of when the entry was created

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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.

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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: 
    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.