diff --git a/metricflow-semantics/metricflow_semantics/specs/patterns/min_time_grain.py b/metricflow-semantics/metricflow_semantics/specs/patterns/min_time_grain.py
deleted file mode 100644
index e54179b84f..0000000000
--- a/metricflow-semantics/metricflow_semantics/specs/patterns/min_time_grain.py
+++ /dev/null
@@ -1,69 +0,0 @@
-from __future__ import annotations
-
-from collections import defaultdict
-from typing import Dict, List, Sequence, Set
-
-from dbt_semantic_interfaces.type_enums import TimeGranularity
-from typing_extensions import override
-
-from metricflow_semantics.specs.instance_spec import InstanceSpec, LinkableInstanceSpec
-from metricflow_semantics.specs.patterns.spec_pattern import SpecPattern
-from metricflow_semantics.specs.spec_set import group_specs_by_type
-from metricflow_semantics.specs.time_dimension_spec import (
-    TimeDimensionSpec,
-    TimeDimensionSpecComparisonKey,
-    TimeDimensionSpecField,
-)
-
-
-class MinimumTimeGrainPattern(SpecPattern):
-    """A pattern that matches linkable specs, but for time dimension specs, only the one with the finest grain.
-
-    e.g.
-
-    inputs:
-        [
-            TimeDimensionSpec('metric_time', 'day'),
-            TimeDimensionSpec('metric_time', 'month.'),
-            DimensionSpec('listing__country'),
-        ]
-
-    matches:
-        [
-            TimeDimensionSpec('metric_time', 'day'),
-            DimensionSpec('listing__country'),
-        ]
-
-    The finest grain represents the defined grain of the time dimension in the semantic model when evaluating specs
-    of the source.
-
-    This pattern helps to implement matching of group-by-items for where filters - in those cases, an ambiguously
-    specified group-by-item can only match to time dimension spec with the base grain.
-
-    Also, this is currently used to help implement restrictions on cumulative metrics where they can only be queried
-    by the base grain of metric_time.
-    """
-
-    @override
-    def match(self, candidate_specs: Sequence[InstanceSpec]) -> Sequence[InstanceSpec]:
-        spec_set = group_specs_by_type(candidate_specs)
-
-        spec_key_to_grains: Dict[TimeDimensionSpecComparisonKey, Set[TimeGranularity]] = defaultdict(set)
-        spec_key_to_specs: Dict[TimeDimensionSpecComparisonKey, List[TimeDimensionSpec]] = defaultdict(list)
-        for time_dimension_spec in spec_set.time_dimension_specs:
-            spec_key = time_dimension_spec.comparison_key(exclude_fields=(TimeDimensionSpecField.TIME_GRANULARITY,))
-            spec_key_to_grains[spec_key].add(time_dimension_spec.time_granularity)
-            spec_key_to_specs[spec_key].append(time_dimension_spec)
-
-        matched_time_dimension_specs: List[TimeDimensionSpec] = []
-        for spec_key, time_grains in spec_key_to_grains.items():
-            matched_time_dimension_specs.append(spec_key_to_specs[spec_key][0].with_grain(min(time_grains)))
-
-        matching_specs: Sequence[LinkableInstanceSpec] = (
-            spec_set.dimension_specs
-            + tuple(matched_time_dimension_specs)
-            + spec_set.entity_specs
-            + spec_set.group_by_metric_specs
-        )
-
-        return matching_specs
diff --git a/metricflow-semantics/metricflow_semantics/specs/time_dimension_spec.py b/metricflow-semantics/metricflow_semantics/specs/time_dimension_spec.py
index 5f23c0e20f..4212bfef01 100644
--- a/metricflow-semantics/metricflow_semantics/specs/time_dimension_spec.py
+++ b/metricflow-semantics/metricflow_semantics/specs/time_dimension_spec.py
@@ -208,6 +208,3 @@ def generate_possible_specs_for_time_dimension(
     @property
     def is_metric_time(self) -> bool:  # noqa: D102
         return self.element_name == METRIC_TIME_ELEMENT_NAME
-
-
-DEFAULT_TIME_GRANULARITY = TimeGranularity.DAY
diff --git a/tests_metricflow/fixtures/dataflow_fixtures.py b/tests_metricflow/fixtures/dataflow_fixtures.py
index 571d86972d..3edb9dbb9f 100644
--- a/tests_metricflow/fixtures/dataflow_fixtures.py
+++ b/tests_metricflow/fixtures/dataflow_fixtures.py
@@ -96,7 +96,7 @@ def time_spine_sources(  # noqa: D103
 ) -> Mapping[TimeGranularity, TimeSpineSource]:
     legacy_time_spine_grain = TimeGranularity.DAY
     time_spine_base_table_name = "mf_time_spine"
-    print("expected schema name:", mf_test_configuration.mf_source_schema)
+
     # Legacy time spine
     time_spine_sources = {
         legacy_time_spine_grain: TimeSpineSource(