diff --git a/metadata-ingestion/src/datahub/sql_parsing/schema_resolver.py b/metadata-ingestion/src/datahub/sql_parsing/schema_resolver.py
index ce43fb5da57c0..ec52e839212c5 100644
--- a/metadata-ingestion/src/datahub/sql_parsing/schema_resolver.py
+++ b/metadata-ingestion/src/datahub/sql_parsing/schema_resolver.py
@@ -80,7 +80,7 @@ def get_urns(self) -> Set[str]:
     def schema_count(self) -> int:
         return int(
             self._schema_cache.sql_query(
-                f"SELECT COUNT(*) FROM {self._schema_cache.tablename} WHERE is_missing"
+                f"SELECT COUNT(*) FROM {self._schema_cache.tablename} WHERE NOT is_missing"
             )[0][0]
         )
 
diff --git a/metadata-ingestion/src/datahub/sql_parsing/sql_parsing_aggregator.py b/metadata-ingestion/src/datahub/sql_parsing/sql_parsing_aggregator.py
index cecaef33efcd7..49b58ddd22b83 100644
--- a/metadata-ingestion/src/datahub/sql_parsing/sql_parsing_aggregator.py
+++ b/metadata-ingestion/src/datahub/sql_parsing/sql_parsing_aggregator.py
@@ -115,6 +115,7 @@ class SqlAggregatorReport(Report):
     _aggregator: "SqlParsingAggregator"
     query_log_path: Optional[str] = None
 
+    # Observed queries.
     num_observed_queries: int = 0
     num_observed_queries_failed: int = 0
     num_observed_queries_column_timeout: int = 0
@@ -123,6 +124,7 @@ class SqlAggregatorReport(Report):
         default_factory=LossyList
     )
 
+    # Views.
     num_view_definitions: int = 0
     num_views_failed: int = 0
     num_views_column_timeout: int = 0
@@ -131,28 +133,30 @@ class SqlAggregatorReport(Report):
         default_factory=LossyDict
     )
 
+    # Other lineage loading metrics.
     num_known_query_lineage: int = 0
     num_known_mapping_lineage: int = 0
     num_table_renames: int = 0
 
-    num_queries_with_temp_tables_in_session: int = 0
-
-    num_unique_query_fingerprints: Optional[int] = None
-
-    # Lineage-related.
-    num_urns_with_lineage: Optional[int] = None
+    # Temp tables.
     num_temp_sessions: Optional[int] = None
     num_inferred_temp_schemas: Optional[int] = None
+    num_queries_with_temp_tables_in_session: int = 0
     queries_with_temp_upstreams: LossyDict[QueryId, LossyList] = dataclasses.field(
         default_factory=LossyDict
     )
 
+    # Lineage-related.
+    schema_resolver_count: Optional[int] = None
+    num_unique_query_fingerprints: Optional[int] = None
+    num_urns_with_lineage: Optional[int] = None
     num_queries_entities_generated: int = 0
 
     # Usage-related.
     usage_skipped_missing_timestamp: int = 0
 
     def compute_stats(self) -> None:
+        self.schema_resolver_count = self._aggregator._schema_resolver.schema_count()
         self.num_unique_query_fingerprints = len(self._aggregator._query_map)
 
         self.num_urns_with_lineage = len(self._aggregator._lineage_map)
@@ -865,6 +869,9 @@ def _gen_lineage_for_downstream(
                         confidenceScore=queries_map[query_id].confidence_score,
                     )
                 )
+        upstream_aspect.fineGrainedLineages = (
+            upstream_aspect.fineGrainedLineages or None
+        )
 
         yield MetadataChangeProposalWrapper(
             entityUrn=downstream_urn,
diff --git a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_known_lineage_mapping.json b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_known_lineage_mapping.json
index ab210c6f701b3..86d5ef34a8756 100644
--- a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_known_lineage_mapping.json
+++ b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_known_lineage_mapping.json
@@ -19,8 +19,7 @@
                     "dataset": "urn:li:dataset:(urn:li:dataPlatform:s3,bucket1/key1,PROD)",
                     "type": "COPY"
                 }
-            ],
-            "fineGrainedLineages": []
+            ]
         }
     }
 },
@@ -44,8 +43,7 @@
                     "dataset": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD)",
                     "type": "COPY"
                 }
-            ],
-            "fineGrainedLineages": []
+            ]
         }
     }
 },
@@ -69,8 +67,7 @@
                     "dataset": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD)",
                     "type": "COPY"
                 }
-            ],
-            "fineGrainedLineages": []
+            ]
         }
     }
 }
diff --git a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_temp_table.json b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_temp_table.json
index b93e7e0f5260f..5e61fb2b6a20f 100644
--- a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_temp_table.json
+++ b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_temp_table.json
@@ -205,8 +205,7 @@
                     "type": "TRANSFORMED",
                     "query": "urn:li:query:3e85e6f353c7fa33d6514cb090482852064d23df6491c9a8ae28be0d990a3c71"
                 }
-            ],
-            "fineGrainedLineages": []
+            ]
         }
     }
 },
diff --git a/metadata-ingestion/tests/unit/sql_parsing/test_schemaresolver.py b/metadata-ingestion/tests/unit/sql_parsing/test_schemaresolver.py
index 5786c135a8d8c..5a33034f274dc 100644
--- a/metadata-ingestion/tests/unit/sql_parsing/test_schemaresolver.py
+++ b/metadata-ingestion/tests/unit/sql_parsing/test_schemaresolver.py
@@ -1,6 +1,31 @@
 from datahub.sql_parsing.schema_resolver import SchemaResolver, _TableName
 
 
+def test_basic_schema_resolver():
+    schema_resolver = SchemaResolver(
+        platform="redshift",
+        env="PROD",
+        graph=None,
+    )
+
+    schema_resolver.add_raw_schema_info(
+        urn="urn:li:dataset:(urn:li:dataPlatform:redshift,my_db.public.test_table,PROD)",
+        schema_info={"name": "STRING"},
+    )
+
+    urn, schema = schema_resolver.resolve_table(
+        _TableName(database="my_db", db_schema="public", table="test_table")
+    )
+    assert (
+        urn
+        == "urn:li:dataset:(urn:li:dataPlatform:redshift,my_db.public.test_table,PROD)"
+    )
+    assert schema
+    assert schema["name"]
+
+    assert schema_resolver.schema_count() == 1
+
+
 def test_get_urn_for_table_lowercase():
     schema_resolver = SchemaResolver(
         platform="mssql",