[]
A schema defines how a table interprets and manages its data.
When a table is created in DataManager, the schema describes:
How raw data is parsed
How fields are structured and typed
How computed values are defined
Whether the table has reusable window specifications
Whether the table is hierarchical
The schema belongs to the table and determines its structural behavior.
If no schema is provided:
Data is loaded using default parsing rules
Fields are inferred directly from raw data
No structural constraints or computed columns are applied
No hierarchy or reusable window definitions are available
Providing a schema enables explicit control over structure and behavior.
The schema is defined inside the table options:
dataManager.addTable("orders", {
data: [...],
schema: {
// schema configuration
}
});The schema may include the following major sections:
interface ISchemaOption {
type?: string; // parsing type
dataPath?: string; // nested data path
columns?: {...}; // column definitions
window?: {...}; // reusable window definitions
hierarchy?: {...}; // hierarchical structure
}Each section controls a specific aspect of table structure.
Parsing configuration determines how raw data is interpreted.
It controls:
Data source type (for example, JSON or CSV)
Nested data extraction
Field normalization rules
See Data Parsing for details.
Columns define how individual fields behave inside the table.
They control:
Field mapping and identity
Data types
Validation rules
Computed values
Presentation metadata
See Defining Columns for detailed configuration.
Window definitions provide reusable window specifications for WINDOW() formulas.
They:
Define partitioning, ordering, and frame rules
Improve reuse and consistency
Affect formula evaluation only
See Window Definition for details.
Hierarchy configuration organizes records into parent–child structures within a single table.
It defines:
How parent relationships are derived
How nested structures are interpreted
Optional summary field behavior
See Hierarchical Data for details.
The schema defines structural behavior inside DataManager.
It:
Does not control remote communication
Does not render UI
Does not define cross-table relationships
Does not execute CRUD operations
Those responsibilities belong to other parts of the system.
The schema focuses solely on how a table understands and organizes its own data.