ColumnTypeInfo¶
- class lsst.daf.butler.ColumnTypeInfo(timespan_cls: type[lsst.daf.butler.timespan_database_representation.TimespanDatabaseRepresentation], universe: DimensionUniverse, dataset_id_spec: FieldSpec, run_key_spec: FieldSpec, ingest_date_dtype: type[lsst.daf.butler.ddl.AstropyTimeNsecTai] | type[sqlalchemy.sql.sqltypes.TIMESTAMP])¶
Bases:
object
A struct that aggregates information about column types that can differ across data repositories due to
Registry
and dimension configuration.Attributes Summary
Python type corresponding to
ingest_date
column type.Methods Summary
make_relation_table_spec
(columns[, unique_keys])Create a specification for a table with the given relation columns.
Attributes Documentation
- ingest_date_pytype¶
Python type corresponding to
ingest_date
column type.- Returns:
type
The Python type.
Methods Documentation
- make_relation_table_spec(columns: Iterable[ColumnTag], unique_keys: Iterable[Iterable[ColumnTag]] = ()) TableSpec ¶
Create a specification for a table with the given relation columns.
This is used primarily to create temporary tables for query results.
- Parameters:
- Returns:
- spec
ddl.TableSpec
Specification for a table.
- spec