perf(taps): Improved discovery performance for SQL taps

singer_sdk/connectors/sql.py

@@ -13,6 +13,7 @@
 from functools import lru_cache
 
 import sqlalchemy as sa
+from sqlalchemy.engine import reflection
 
 from singer_sdk import typing as th
 from singer_sdk._singerlib import CatalogEntry, MetadataMapping, Schema
@@ -960,6 +961,73 @@ def discover_catalog_entry(
             replication_key=None,  # Must be defined by user
         )
 
+    def _discover_catalog_entry_from_inspected(
+        self,
+        *,
+        table_name: str,
+        schema_name: str | None,
+        columns: list[reflection.ReflectedColumn],
+        primary_key: reflection.ReflectedPrimaryKeyConstraint | None,
+        unique_constraints: list[reflection.ReflectedUniqueConstraint],
+        is_view: bool = False,
+    ) -> CatalogEntry:
+        unique_stream_id = f"{schema_name}-{table_name}" if schema_name else table_name
+
+        # Detect key properties
+        possible_primary_keys: list[list[str]] = []
+        if primary_key and "constrained_columns" in primary_key:
+            possible_primary_keys.append(primary_key["constrained_columns"])
+
+        # Check UNIQUE constraints
+        possible_primary_keys.extend(
+            unique_constraint["column_names"]
+            for unique_constraint in unique_constraints
+        )
+
+        key_properties = next(iter(possible_primary_keys), None)
+
+        # Initialize columns list
+        table_schema = th.PropertiesList()
+        for column_def in columns:
+            column_name = column_def["name"]
+            is_nullable = column_def.get("nullable", False)
+            jsonschema_type: dict = self.to_jsonschema_type(column_def["type"])
+            table_schema.append(
+                th.Property(
+                    name=column_name,
+                    wrapped=th.CustomType(jsonschema_type),
+                    nullable=is_nullable,
+                    required=column_name in key_properties if key_properties else False,
+                ),
+            )
+        schema = table_schema.to_dict()
+
+        # Initialize available replication methods
+        addl_replication_methods: list[str] = []  # By default an empty list.
+        replication_method = next(reversed(["FULL_TABLE", *addl_replication_methods]))
+
+        # Create the catalog entry object
+        return CatalogEntry(
+            tap_stream_id=unique_stream_id,
+            stream=unique_stream_id,
+            table=table_name,
+            key_properties=key_properties,
+            schema=Schema.from_dict(schema),
+            is_view=is_view,
+            replication_method=replication_method,
+            metadata=MetadataMapping.get_standard_metadata(
+                schema_name=schema_name,
+                schema=schema,
+                replication_method=replication_method,
+                key_properties=key_properties,
+                valid_replication_keys=None,  # Must be defined by user
+            ),
+            database=None,  # Expects single-database context
+            row_count=None,
+            stream_alias=None,
+            replication_key=None,  # Must be defined by user
+        )
+
     def discover_catalog_entries(self) -> list[dict]:
         """Return a list of catalog entries from discovery.
 
@@ -969,21 +1037,31 @@ def discover_catalog_entries(self) -> list[dict]:
         result: list[dict] = []
         engine = self._engine
         inspected = sa.inspect(engine)
+        object_kinds = (
+            (reflection.ObjectKind.TABLE, False),
+            (reflection.ObjectKind.ANY_VIEW, True),
+        )
         for schema_name in self.get_schema_names(engine, inspected):
-            # Iterate through each table and view
-            for table_name, is_view in self.get_object_names(
-                engine,
-                inspected,
-                schema_name,
-            ):
-                catalog_entry = self.discover_catalog_entry(
-                    engine,
-                    inspected,
-                    schema_name,
-                    table_name,
-                    is_view,
+            columns = inspected.get_multi_columns(schema=schema_name)
+            pk = inspected.get_multi_pk_constraint(schema=schema_name)
+            unique = inspected.get_multi_unique_constraints(schema=schema_name)
+            for object_kind, is_view in object_kinds:
+                columns = inspected.get_multi_columns(
+                    schema=schema_name,
+                    kind=object_kind,
+                )
+
+                result.extend(
+                    self._discover_catalog_entry_from_inspected(
+                        table_name=_table,
+                        schema_name=_schema,
+                        columns=columns[_schema, _table],
+                        primary_key=pk.get((_schema, _table)),
+                        unique_constraints=unique.get((_schema, _table), []),
+                        is_view=is_view,
+                    ).to_dict()
+                    for _schema, _table in columns
                 )
-                result.append(catalog_entry.to_dict())
 
         return result