IndexSpec#

class lsst.daf.butler.ddl.IndexSpec(*columns: str, **kwargs: Any)#

Bases: object

Specification of an index on table columns.

Parameters#

*columnsstr: Names of the columns to index.
**kwargsAny: Additional keyword arguments to pass directly to sqlalchemy.schema.Index constructor. This could be used to provide backend-specific options, e.g. to create a GIST index in PostgreSQL one can pass postgresql_using="gist".

Attributes Summary

`columns`	Column names to include in the index (`Tuple` [ `str` ]).
`kwargs`	Additional keyword arguments passed directly to `sqlalchemy.schema.Index` constructor (`dict` [ `str`, `Any` ]).

Attributes Documentation

columns: tuple[str, ...] = <dataclasses._MISSING_TYPE object>#: Column names to include in the index (Tuple [ str ]).

kwargs: dict[str, Any] = <dataclasses._MISSING_TYPE object>#: Additional keyword arguments passed directly to sqlalchemy.schema.Index constructor (dict [ str, Any ]).