Repository: meltano/sdk (python)

Issue:
bug: Tables not created if no records arrive with `SQLSink`
### Singer SDK Version

0.11.1

### Python Version

3.8

### Bug scope

Targets (data type handling, batching, SQL object generation, etc.)

### Operating System

MacOS

### Description

With non-SDK Targets it is common for schema/table objects to be created on arrival of a `SCHEMA` singer message before and regardless of if any `RECORD` messages ever arrive. This can be important for downstream testing in tools such as `dbt` where `dbt` will error on missing entities rather than proceed to run tests. This may be less of a bug and more of an unexpected behaviour coming from other SQL-based targets.

### Code

_No response_

Pull request description:
fix: create schema and table on `add_sink`
Closes #1027 

- #1027 

<!-- readthedocs-preview meltano-sdk start -->
----
:books: Documentation preview :books:: https://meltano-sdk--1036.org.readthedocs.build/en/1036/

<!-- readthedocs-preview meltano-sdk end -->

Patch:
diff --git a/singer_sdk/sinks/core.py b/singer_sdk/sinks/core.py
index d3f8bada..18487546 100644
--- a/singer_sdk/sinks/core.py
+++ b/singer_sdk/sinks/core.py
@@ -423,6 +423,14 @@ class Sink(metaclass=abc.ABCMeta):
             "Ignoring."
         )
 
+    def setup(self) -> None:
+        """Perform any setup actions at the beginning of a Stream.
+
+        Setup is executed once per Sink instance, after instantiation. If a Schema
+        change is detected, a new Sink is instantiated and this method is called again.
+        """
+        pass
+
     def clean_up(self) -> None:
         """Perform any clean up actions required at end of a stream.
 
diff --git a/singer_sdk/sinks/sql.py b/singer_sdk/sinks/sql.py
index 5f37a023..c3455d5d 100644
--- a/singer_sdk/sinks/sql.py
+++ b/singer_sdk/sinks/sql.py
@@ -10,7 +10,7 @@ from sqlalchemy.sql.expression import bindparam
 
 from singer_sdk.plugin_base import PluginBase
 from singer_sdk.sinks.batch import BatchSink
-from singer_sdk.streams.sql import SQLConnector
+from singer_sdk.streams import SQLConnector
 
 
 class SQLSink(BatchSink):
@@ -38,11 +38,7 @@ class SQLSink(BatchSink):
             connector: Optional connector to reuse.
         """
         self._connector: SQLConnector
-        if connector:
-            self._connector = connector
-        else:
-            self._connector = self.connector_class(dict(target.config))
-
+        self._connector = connector or self.connector_class(dict(target.config))
         super().__init__(target, stream_name, schema, key_properties)
 
     @property
@@ -65,103 +61,93 @@ class SQLSink(BatchSink):
 
     @property
     def table_name(self) -> str:
-        """Returns the table name, with no schema or database part.
+        """Return the table name, with no schema or database part.
 
         Returns:
             The target table name.
         """
         parts = self.stream_name.split("-")
-
-        if len(parts) == 1:
-            return self.stream_name
-        else:
-            return parts[-1]
+        return self.stream_name if len(parts) == 1 else parts[-1]
 
     @property
     def schema_name(self) -> Optional[str]:
-        """Returns the schema name or `None` if using names with no schema part.
+        """Return the schema name or `None` if using names with no schema part.
 
         Returns:
             The target schema name.
         """
-        return None  # Assumes single-schema target context.
+        parts = self.stream_name.split("-")
+        if len(parts) in {2, 3}:
+            # Stream name is a two-part or three-part identifier.
+            # Use the second-to-last part as the schema name.
+            return parts[-2]
+
+        # Schema name not detected.
+        return None
 
     @property
     def database_name(self) -> Optional[str]:
-        """Returns the DB name or `None` if using names with no database part.
+        """Return the DB name or `None` if using names with no database part.
 
         Returns:
             The target database name.
         """
         return None  # Assumes single-DB target context.
 
-    def process_batch(self, context: dict) -> None:
-        """Process a batch with the given batch context.
-
-        Writes a batch to the SQL target. Developers may override this method
-        in order to provide a more efficient upload/upsert process.
+    @property
+    def full_table_name(self) -> str:
+        """Return the fully qualified table name.
 
-        Args:
-            context: Stream partition or context dictionary.
+        Returns:
+            The fully qualified table name.
         """
-        # If duplicates are merged, these can be tracked via
-        # :meth:`~singer_sdk.Sink.tally_duplicate_merged()`.
-        self.connector.prepare_table(
-            full_table_name=self.full_table_name,
-            schema=self.schema,
-            primary_keys=self.key_properties,
-            as_temp_table=False,
-        )
-        self.bulk_insert_records(
-            full_table_name=self.full_table_name,
-            schema=self.schema,
-            records=context["records"],
+        return self.connector.get_fully_qualified_name(
+            table_name=self.table_name,
+            schema_name=self.schema_name,
+            db_name=self.database_name,
         )
 
     @property
-    def full_table_name(self) -> str:
-        """Gives the fully qualified table name.
+    def full_schema_name(self) -> str:
+        """Return the fully qualified schema name.
 
         Returns:
-            The fully qualified table name.
+            The fully qualified schema name.
         """
         return self.connector.get_fully_qualified_name(
-            self.table_name,
-            self.schema_name,
-            self.database_name,
+            schema_name=self.schema_name, db_name=self.database_name
         )
 
-    def create_table_with_records(
-        self,
-        full_table_name: Optional[str],
-        schema: dict,
-        records: Iterable[Dict[str, Any]],
-        primary_keys: Optional[List[str]] = None,
-        partition_keys: Optional[List[str]] = None,
-        as_temp_table: bool = False,
-    ) -> None:
-        """Create an empty table.
+    def setup(self) -> None:
+        """Set up Sink.
 
-        Args:
-            full_table_name: the target table name.
-            schema: the JSON schema for the new table.
-            records: records to load.
-            primary_keys: list of key properties.
-            partition_keys: list of partition keys.
-            as_temp_table: True to create a temp table.
+        This method is called on Sink creation, and creates the required Schema and
+        Table entities in the target database.
         """
-        full_table_name = full_table_name or self.full_table_name
-        if primary_keys is None:
-            primary_keys = self.key_properties
-        partition_keys = partition_keys or None
+        if self.schema_name:
+            self.connector.prepare_schema(self.schema_name)
         self.connector.prepare_table(
-            full_table_name=full_table_name,
-            primary_keys=primary_keys,
-            schema=schema,
-            as_temp_table=as_temp_table,
+            full_table_name=self.full_table_name,
+            schema=self.schema,
+            primary_keys=self.key_properties,
+            as_temp_table=False,
         )
+
+    def process_batch(self, context: dict) -> None:
+        """Process a batch with the given batch context.
+
+        Writes a batch to the SQL target. Developers may override this method
+        in order to provide a more efficient upload/upsert process.
+
+        Args:
+            context: Stream partition or context dictionary.
+        """
+        # If duplicates are merged, these can be tracked via
+        # :meth:`~singer_sdk.Sink.tally_duplicate_merged()`.
         self.bulk_insert_records(
-            full_table_name=full_table_name, schema=schema, records=records
+            full_table_name=self.full_table_name,
+            schema=self.schema,
+            records=context["records"],
         )
 
     def generate_insert_statement(
diff --git a/singer_sdk/streams/sql.py b/singer_sdk/streams/sql.py
index 6a039248..eead34c9 100644
--- a/singer_sdk/streams/sql.py
+++ b/singer_sdk/streams/sql.py
@@ -26,7 +26,6 @@ class SQLConnector:
     The connector class serves as a wrapper around the SQL connection.
 
     The functions of the connector are:
-
     - connecting to the source
     - generating SQLAlchemy connection and engine objects
     - discovering schema catalog entries
@@ -76,6 +75,7 @@ class SQLConnector:
 
         By default this will create using the sqlalchemy `stream_results=True` option
         described here:
+
         https://docs.sqlalchemy.org/en/14/core/connections.html#using-server-side-cursors-a-k-a-stream-results
 
         Developers may override this method if their provider does not support
@@ -191,7 +191,6 @@ class SQLConnector:
 
         Developers may override this method to accept additional input argument types,
         to support non-standard types, or to provide custom typing logic.
-
         If overriding this method, developers should call the default implementation
         from the base class for all unhandled cases.
 
@@ -205,7 +204,7 @@ class SQLConnector:
 
     @staticmethod
     def get_fully_qualified_name(
-        table_name: str,
+        table_name: str | None = None,
         schema_name: str | None = None,
         db_name: str | None = None,
         delimiter: str = ".",
@@ -219,23 +218,23 @@ class SQLConnector:
             delimiter: Generally: '.' for SQL names and '-' for Singer names.
 
         Raises:
-            ValueError: If table_name is not provided or if neither schema_name or
-                db_name are provided.
+            ValueError: If all 3 name parts not supplied.
 
         Returns:
             The fully qualified name as a string.
         """
-        if db_name and schema_name:
-            result = delimiter.join([db_name, schema_name, table_name])
-        elif db_name:
-            result = delimiter.join([db_name, table_name])
-        elif schema_name:
-            result = delimiter.join([schema_name, table_name])
-        elif table_name:
-            result = table_name
-        else:
+        parts = []
+
+        if db_name:
+            parts.append(db_name)
+        if schema_name:
+            parts.append(schema_name)
+        if table_name:
+            parts.append(table_name)
+
+        if not parts:
             raise ValueError(
-                "Could not generate fully qualified name for stream: "
+                "Could not generate fully qualified name: "
                 + ":".join(
                     [
                         db_name or "(unknown-db)",
@@ -245,7 +244,7 @@ class SQLConnector:
                 )
             )
 
-        return result
+        return delimiter.join(parts)
 
     @property
     def _dialect(self) -> sqlalchemy.engine.Dialect:
@@ -487,6 +486,18 @@ class SQLConnector:
             sqlalchemy.inspect(self._engine).has_table(full_table_name),
         )
 
+    def schema_exists(self, schema_name: str) -> bool:
+        """Determine if the target database schema already exists.
+
+        Args:
+            schema_name: The target database schema name.
+
+        Returns:
+            True if the database schema exists, False if not.
+        """
+        schema_names = sqlalchemy.inspect(self._engine).get_schema_names()
+        return schema_name in schema_names
+
     def get_table_columns(
         self, full_table_name: str, column_names: list[str] | None = None
     ) -> dict[str, sqlalchemy.Column]:
@@ -547,6 +558,14 @@ class SQLConnector:
         """
         return column_name in self.get_table_columns(full_table_name)
 
+    def create_schema(self, schema_name: str) -> None:
+        """Create target schema.
+
+        Args:
+            schema_name: The target schema to create.
+        """
+        self._engine.execute(sqlalchemy.schema.CreateSchema(schema_name))
+
     def create_empty_table(
         self,
         full_table_name: str,
@@ -573,7 +592,8 @@ class SQLConnector:
 
         _ = partition_keys  # Not supported in generic implementation.
 
-        meta = sqlalchemy.MetaData()
+        _, schema_name, table_name = self.parse_full_table_name(full_table_name)
+        meta = sqlalchemy.MetaData(schema=schema_name)
         columns: list[sqlalchemy.Column] = []
         primary_keys = primary_keys or []
         try:
@@ -592,7 +612,7 @@ class SQLConnector:
                 )
             )
 
-        _ = sqlalchemy.Table(full_table_name, meta, *columns)
+        _ = sqlalchemy.Table(table_name, meta, *columns)
         meta.create_all(self._engine)
 
     def _create_empty_column(
@@ -630,6 +650,16 @@ class SQLConnector:
             )
         )
 
+    def prepare_schema(self, schema_name: str) -> None:
+        """Create the target database schema.
+
+        Args:
+            schema_name: The target schema name.
+        """
+        schema_exists = self.schema_exists(schema_name)
+        if not schema_exists:
+            self.create_schema(schema_name)
+
     def prepare_table(
         self,
         full_table_name: str,
@@ -788,6 +818,7 @@ class SQLConnector:
 
         For example, [Smallint, Integer, Datetime, String, Double] would become
         [Unicode, String, Double, Integer, Smallint, Datetime].
+
         String types will be listed first, then decimal types, then integer types,
         then bool types, and finally datetime and date. Higher precision, scale, and
         length will be sorted earlier.
@@ -823,7 +854,7 @@ class SQLConnector:
     def _get_column_type(
         self, full_table_name: str, column_name: str
     ) -> sqlalchemy.types.TypeEngine:
-        """Gets the SQL type of the declared column.
+        """Get the SQL type of the declared column.
 
         Args:
             full_table_name: The name of the table.
@@ -937,7 +968,7 @@ class SQLStream(Stream, metaclass=abc.ABCMeta):
 
     @property
     def connector(self) -> SQLConnector:
-        """The connector object.
+        """Return a connector object.
 
         Returns:
             The connector object.
@@ -946,7 +977,7 @@ class SQLStream(Stream, metaclass=abc.ABCMeta):
 
     @property
     def metadata(self) -> MetadataMapping:
-        """The Singer metadata.
+        """Return the Singer metadata.
 
         Metadata from an input catalog will override standard metadata.
 
diff --git a/singer_sdk/target_base.py b/singer_sdk/target_base.py
index 0b21b04c..a1ddd5e7 100644
--- a/singer_sdk/target_base.py
+++ b/singer_sdk/target_base.py
@@ -224,14 +224,15 @@ class Target(PluginBase, SingerReader, metaclass=abc.ABCMeta):
         """
         self.logger.info(f"Initializing '{self.name}' target sink...")
         sink_class = self.get_sink_class(stream_name=stream_name)
-        result = sink_class(
+        sink = sink_class(
             target=self,
             stream_name=stream_name,
             schema=schema,
             key_properties=key_properties,
         )
-        self._sinks_active[stream_name] = result
-        return result
+        sink.setup()
+        self._sinks_active[stream_name] = sink
+        return sink
 
     def _assert_sink_exists(self, stream_name: str) -> None:
         """Raise a RecordsWithoutSchemaException exception if stream doesn't exist.


Test patch:
diff --git a/tests/core/test_sqlite.py b/tests/core/test_sqlite.py
index 5e76d816..b9c7c82c 100644
--- a/tests/core/test_sqlite.py
+++ b/tests/core/test_sqlite.py
@@ -10,6 +10,7 @@ from typing import Dict, cast
 from uuid import uuid4
 
 import pytest
+import sqlalchemy
 
 from samples.sample_tap_sqlite import SQLiteConnector, SQLiteTap
 from samples.sample_target_csv.csv_target import SampleTargetCSV
@@ -265,6 +266,41 @@ def test_sync_sqlite_to_sqlite(
     assert line_num > 0, "No lines read."
 
 
+def test_sqlite_schema_addition(
+    sqlite_target_test_config: dict, sqlite_sample_target: SQLTarget
+):
+    """Test that SQL-based targets attempt to create new schema if included in stream name."""
+    schema_name = f"test_schema_{str(uuid4()).split('-')[-1]}"
+    table_name = f"zzz_tmp_{str(uuid4()).split('-')[-1]}"
+    test_stream_name = f"{schema_name}-{table_name}"
+    schema_message = {
+        "type": "SCHEMA",
+        "stream": test_stream_name,
+        "schema": {
+            "type": "object",
+            "properties": {"col_a": th.StringType().to_dict()},
+        },
+    }
+    tap_output = "\n".join(
+        json.dumps(msg)
+        for msg in [
+            schema_message,
+            {
+                "type": "RECORD",
+                "stream": test_stream_name,
+                "record": {"col_a": "samplerow1"},
+            },
+        ]
+    )
+    # sqlite doesn't support schema creation
+    with pytest.raises(sqlalchemy.exc.OperationalError) as excinfo:
+        target_sync_test(
+            sqlite_sample_target, input=StringIO(tap_output), finalize=True
+        )
+    # check the target at least tried to create the schema
+    assert excinfo.value.statement == f"CREATE SCHEMA {schema_name}"
+
+
 def test_sqlite_column_addition(sqlite_sample_target: SQLTarget):
     """End-to-end-to-end test for SQLite tap and target.