ColumnTypeInfo

class lsst.daf.butler.ColumnTypeInfo(timespan_cls: type, universe: lsst.daf.butler.core.dimensions._universe.DimensionUniverse, dataset_id_spec: lsst.daf.butler.core.ddl.FieldSpec, run_key_spec: lsst.daf.butler.core.ddl.FieldSpec)

Bases: object

A struct that aggregates information about column types that can differ across data repositories due to Registry and 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: collections.abc.Iterable[lsst.daf.relation._columns._tag.ColumnTag], unique_keys: collections.abc.Iterable[collections.abc.Iterable[lsst.daf.relation._columns._tag.ColumnTag]] = ()) → lsst.daf.butler.core.ddl.TableSpec

Create a specification for a table with the given relation columns.

This is used primarily to create temporary tables for query results.

Parameters:

columns : Iterable [ ColumnTag ]

Iterable of column identifiers.

unique_keys : Iterable [ Iterable [ ColumnTag ] ]

Unique constraints to add the table, as a nested iterable of (first) constraint and (second) the columns within that constraint.

Returns:

spec : ddl.TableSpec

Specification for a table.