orbitra.lake.models.table_schema
Functions
validate_column_type
decimal(P, S) where 1 <= P <= 38 and 0 <= S <= P.
Decimals are normalized to decimal(P, S) (with a space after the comma)
to match pyiceberg’s string representation so schema round-trips are stable.
Raises:
ValueError: If the type is not a supported primitive or a valid decimal.
Classes
ColumnSchema
Schema for a column in a table.
Attributes:
name: The name of the column.type: The data type of the column, represented as a string. Allowed types are “string”, “int”, “long”, “float”, “double”, “boolean”, “timestamp”, “date”, or a parameterized decimal in the form “decimal(P, S)” (e.g. “decimal(38, 18)”).kind: The kind of column,- “partition” for columns that are used for partitioning the table,
- “regular” (default) for regular columns.
exclude_from_hash: If True, this column will be excluded from the row hash calculation.
ensure_name_has_no_special_characters
ensure_type_is_supported
TableSchema
Schema for a table in a database.
Attributes:
name: The name of the table.columns: A list of ColumnSchema objects representing the columns in the table.