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Data parsing defines how raw data is interpreted and converted into table records during fetch().
When a table is created, the data option may contain different data formats, such as:
A JSON array
A CSV string
An XML string
Column-oriented JSON data
The schema configuration controls how this raw data is transformed into a record collection that DataManager can operate on.
Data parsing consists of two parts:
Schema Type — Specifies how the raw data is parsed.
DataPath — Selects the record collection from the parsed result.
The parsing process follows this order:
The raw data is parsed according to schema.type.
The parsed result is resolved using dataPath (if specified).
The final resolved value must be an array of records.
Only after these steps does column modeling and other schema features take effect.
Data parsing does not define:
Column behavior
Data validation
Formulas
Hierarchical structure
Those capabilities are configured separately within schema.