BEJSON 104
Chapter 1: Introduction to BEJSON 104
BEJSON Format Version 104 represents a foundational iteration of the BEJSON specification, designed for structured data representation with a single record type per file. This version introduces core concepts such as explicit field definitions, type enforcement, and the capability to handle complex data types like arrays and objects. Its strict header policy ensures consistency, limiting top-level keys to the standard BEJSON metadata.
The following schema illustrates a simple structure for documenting a chapter, demonstrating the use of primitive types (integer, string) and complex types (array of objects) as supported by BEJSON 104.
{
"Format": "BEJSON",
"Format_Version": "104",
"Format_Creator": "Elton Boehnen",
"Records_Type": ["Chapter"],
"Fields": [
{ "name": "chapter_number", "type": "integer" },
{ "name": "chapter_title", "type": "string" },
{ "name": "sections", "type": "array" }
],
"Values": [
[1, "Introduction to BEJSON 104", [
{ "section_number": "1.1", "section_title": "Overview of BEJSON" },
{ "section_number": "1.2", "section_title": "Key Features of Version 104" },
{ "section_number": "1.3", "section_title": "Basic Structure and Syntax" }
]]
]
}Chapter 2: Core Concepts in BEJSON 104
BEJSON Format Version 104, while strict in its top-level metadata, provides robust capabilities for defining the structure of individual records, including support for complex nested data. This chapter delves into fundamental concepts such as the conceptual `Parent_Hierarchy` for logical organization, even within a single-record-type schema. Understanding this element is crucial for constructing clear, navigable, and maintainable BEJSON documents.
The `Parent_Hierarchy` field, though not a strict system requirement in version 104, is a valuable convention for establishing a logical, file-system-like location for the data. This allows for better contextual understanding and integration into larger data ecosystems, aligning with the principle of providing data with a clear logical path.
The following schema defines the structure for this chapter, demonstrating how `Parent_Hierarchy` can be integrated as a standard field, alongside complex types like arrays, to fully describe a document's content.
{
"Format": "BEJSON",
"Format_Version": "104",
"Format_Creator": "Elton Boehnen",
"Records_Type": ["Chapter"],
"Fields": [
{ "name": "chapter_number", "type": "integer" },
{ "name": "chapter_title", "type": "string" },
{ "name": "parent_hierarchy", "type": "string" },
{ "name": "sections", "type": "array" }
],
"Values": [
[2, "Core Concepts in BEJSON 104", "Documentation/BEJSON Guide", [
{ "section_number": "2.1", "section_title": "Understanding Parent_Hierarchy" },
{ "section_number": "2.2", "section_title": "Working with Complex Types" }
]]
]
}Chapter 3: Leveraging Parent_Hierarchy for Data Organization in BEJSON 104
While BEJSON Format Version 104 operates with a single `Records_Type` per file, the strategic implementation of fields like `Parent_Hierarchy` becomes paramount for establishing clear data provenance and logical organization. The `Parent_Hierarchy` field is not merely descriptive; it is a powerful tool for embedding a file-system-like location into your data, providing essential context and facilitating integration into broader data ecosystems.
This logical path, defined by `Parent_Hierarchy`, helps to answer "where does this data logically belong?" within a larger structure, even if physically stored in a flat file system. BEJSON 104 documents can achieve a high degree of self-descriptiveness and navigability. This chapter explores how to effectively utilize this field to enhance the clarity and manageability of your BEJSON 104 data.
The following schema illustrates the structure for this chapter, demonstrating the consistent application of `Parent_Hierarchy` to provide clear organizational context for the chapter's content.
{
"Format": "BEJSON",
"Format_Version": "104",
"Format_Creator": "Elton Boehnen",
"Records_Type": ["Chapter"],
"Fields": [
{ "name": "chapter_number", "type": "integer" },
{ "name": "chapter_title", "type": "string" },
{ "name": "parent_hierarchy", "type": "string" },
{ "name": "sections", "type": "array" }
],
"Values": [
[3, "Leveraging Parent_Hierarchy for Data Organization in BEJSON 104", "Documentation/BEJSON Guide", [
{ "section_number": "3.1", "section_title": "The Role of Parent_Hierarchy" },
{ "section_number": "3.2", "section_title": "Best Practices for Logical Paths" }
]]
]
}