ColumnTypeInfo¶
- class lsst.daf.butler.ColumnTypeInfo(timespan_cls: type[lsst.daf.butler.core.timespan.TimespanDatabaseRepresentation], universe: DimensionUniverse, dataset_id_spec: FieldSpec, run_key_spec: FieldSpec)¶
- Bases: - object- A struct that aggregates information about column types that can differ across data repositories due to - Registryand dimension configuration.- Methods Summary - make_relation_table_spec(columns[, unique_keys])- Create a specification for a table with the given relation columns. - 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:
- columnsIterable[ColumnTag]
- Iterable of column identifiers. 
- unique_keysIterable[Iterable[ColumnTag] ]
- Unique constraints to add the table, as a nested iterable of (first) constraint and (second) the columns within that constraint. 
 
- columns
- Returns:
- specddl.TableSpec
- Specification for a table. 
 
- spec