feat: Add support for Microsoft Fabric Warehouse

docs/guides/configuration.md

@@ -694,6 +694,7 @@ These pages describe the connection configuration options for each execution eng
 * [BigQuery](../integrations/engines/bigquery.md)
 * [Databricks](../integrations/engines/databricks.md)
 * [DuckDB](../integrations/engines/duckdb.md)
+* [Fabric](../integrations/engines/fabric.md)
 * [MotherDuck](../integrations/engines/motherduck.md)
 * [MySQL](../integrations/engines/mysql.md)
 * [MSSQL](../integrations/engines/mssql.md)

docs/integrations/engines/fabric.md

@@ -0,0 +1,32 @@
+# Fabric
+
+## Local/Built-in Scheduler
+**Engine Adapter Type**: `fabric`
+
+NOTE: Fabric Warehouse is not recommended to be used for the SQLMesh [state connection](../../reference/configuration.md#connections).
+
+### Installation
+#### Microsoft Entra ID / Azure Active Directory Authentication:
+```
+pip install "sqlmesh[mssql-odbc]"
+```
+
+### Connection options
+
+| Option            | Description                                                  |     Type     | Required |
+| ----------------- | ------------------------------------------------------------ | :----------: | :------: |
+| `type`            | Engine type name - must be `fabric`                           |    string    |    Y     |
+| `host`            | The hostname of the Fabric Warehouse server                             |    string    |    Y     |
+| `user`            | The client id to use for authentication with the Fabric Warehouse server |    string    |    N     |
+| `password`        | The client secret to use for authentication with the Fabric Warehouse server |    string    |    N     |
+| `port`            | The port number of the Fabric Warehouse server                          |     int      |    N     |
+| `database`        | The target database                                          |    string    |    N     |
+| `charset`         | The character set used for the connection                    |    string    |    N     |
+| `timeout`         | The query timeout in seconds. Default: no timeout            |     int      |    N     |
+| `login_timeout`   | The timeout for connection and login in seconds. Default: 60 |     int      |    N     |
+| `appname`         | The application name to use for the connection               |    string    |    N     |
+| `conn_properties` | The list of connection properties                            | list[string] |    N     |
+| `autocommit`      | Is autocommit mode enabled. Default: false                   |     bool     |    N     |
+| `driver`         | The driver to use for the connection. Default: pyodbc            |    string    |    N     |
+| `driver_name`     | The driver name to use for the connection. E.g., *ODBC Driver 18 for SQL Server* |    string    |    N     |
+| `odbc_properties` | The dict of ODBC connection properties. E.g., authentication: ActiveDirectoryServicePrincipal. See more [here](https://learn.microsoft.com/en-us/sql/connect/odbc/dsn-connection-string-attribute?view=sql-server-ver16). | dict |    N     |

docs/integrations/overview.md

@@ -17,6 +17,7 @@ SQLMesh supports the following execution engines for running SQLMesh projects (e
 * [ClickHouse](./engines/clickhouse.md) (clickhouse)
 * [Databricks](./engines/databricks.md) (databricks)
 * [DuckDB](./engines/duckdb.md) (duckdb)
+* [Fabric](./engines/fabric.md) (fabric)
 * [MotherDuck](./engines/motherduck.md) (motherduck)
 * [MSSQL](./engines/mssql.md) (mssql)
 * [MySQL](./engines/mysql.md) (mysql)

mkdocs.yml

@@ -84,6 +84,7 @@ nav:
       - integrations/engines/clickhouse.md
       - integrations/engines/databricks.md
       - integrations/engines/duckdb.md
+      - integrations/engines/fabric.md
       - integrations/engines/motherduck.md
       - integrations/engines/mssql.md
       - integrations/engines/mysql.md

pyproject.toml

@@ -249,6 +249,7 @@ markers = [
     "clickhouse_cloud: test for Clickhouse (cloud mode)",
     "databricks: test for Databricks",
     "duckdb: test for DuckDB",
+    "fabric: test for Fabric",
     "motherduck: test for MotherDuck",
     "mssql: test for MSSQL",
     "mysql: test for MySQL",

sqlmesh/core/config/__init__.py

@@ -10,6 +10,7 @@
     ConnectionConfig as ConnectionConfig,
     DatabricksConnectionConfig as DatabricksConnectionConfig,
     DuckDBConnectionConfig as DuckDBConnectionConfig,
+    FabricConnectionConfig as FabricConnectionConfig,
     GCPPostgresConnectionConfig as GCPPostgresConnectionConfig,
     MotherDuckConnectionConfig as MotherDuckConnectionConfig,
     MSSQLConnectionConfig as MSSQLConnectionConfig,

sqlmesh/core/config/connection.py

@@ -43,7 +43,13 @@
 
 logger = logging.getLogger(__name__)
 
-RECOMMENDED_STATE_SYNC_ENGINES = {"postgres", "gcp_postgres", "mysql", "mssql", "azuresql"}
+RECOMMENDED_STATE_SYNC_ENGINES = {
+    "postgres",
+    "gcp_postgres",
+    "mysql",
+    "mssql",
+    "azuresql",
+}
 FORBIDDEN_STATE_SYNC_ENGINES = {
     # Do not support row-level operations
     "spark",
@@ -1635,6 +1641,34 @@ def _extra_engine_config(self) -> t.Dict[str, t.Any]:
         return {"catalog_support": CatalogSupport.SINGLE_CATALOG_ONLY}
 
 
+class FabricConnectionConfig(MSSQLConnectionConfig):
+    """
+    Fabric Connection Configuration.
+    Inherits most settings from MSSQLConnectionConfig and sets the type to 'fabric'.
+    It is recommended to use the 'pyodbc' driver for Fabric.
+    """
+
+    type_: t.Literal["fabric"] = Field(alias="type", default="fabric")  # type: ignore
+    DIALECT: t.ClassVar[t.Literal["fabric"]] = "fabric"  # type: ignore
+    DISPLAY_NAME: t.ClassVar[t.Literal["Fabric"]] = "Fabric"  # type: ignore
+    DISPLAY_ORDER: t.ClassVar[t.Literal[17]] = 17  # type: ignore
+    driver: t.Literal["pyodbc"] = "pyodbc"
+    autocommit: t.Optional[bool] = True
+
+    @property
+    def _engine_adapter(self) -> t.Type[EngineAdapter]:
+        from sqlmesh.core.engine_adapter.fabric import FabricAdapter
+
+        return FabricAdapter
+
+    @property
+    def _extra_engine_config(self) -> t.Dict[str, t.Any]:
+        return {
+            "database": self.database,
+            "catalog_support": CatalogSupport.REQUIRES_SET_CATALOG,
+        }
+
+
 class SparkConnectionConfig(ConnectionConfig):
     """
     Vanilla Spark Connection Configuration. Use `DatabricksConnectionConfig` for Databricks.

sqlmesh/core/engine_adapter/__init__.py

@@ -19,6 +19,7 @@
 from sqlmesh.core.engine_adapter.trino import TrinoEngineAdapter
 from sqlmesh.core.engine_adapter.athena import AthenaEngineAdapter
 from sqlmesh.core.engine_adapter.risingwave import RisingwaveEngineAdapter
+from sqlmesh.core.engine_adapter.fabric import FabricAdapter
 
 DIALECT_TO_ENGINE_ADAPTER = {
     "hive": SparkEngineAdapter,
@@ -35,6 +36,7 @@
     "trino": TrinoEngineAdapter,
     "athena": AthenaEngineAdapter,
     "risingwave": RisingwaveEngineAdapter,
+    "fabric": FabricAdapter,
 }
 
 DIALECT_ALIASES = {

sqlmesh/core/engine_adapter/fabric.py

@@ -0,0 +1,46 @@
+from __future__ import annotations
+
+import typing as t
+from sqlglot import exp
+from sqlmesh.core.engine_adapter.mssql import MSSQLEngineAdapter
+from sqlmesh.core.engine_adapter.shared import InsertOverwriteStrategy, SourceQuery
+from sqlmesh.core.engine_adapter.base import EngineAdapter
+
+if t.TYPE_CHECKING:
+    from sqlmesh.core._typing import TableName
+
+
+class FabricAdapter(MSSQLEngineAdapter):
+    """
+    Adapter for Microsoft Fabric.
+    """
+
+    DIALECT = "fabric"
+    SUPPORTS_INDEXES = False
+    SUPPORTS_TRANSACTIONS = False
+    INSERT_OVERWRITE_STRATEGY = InsertOverwriteStrategy.DELETE_INSERT
+
+    def _insert_overwrite_by_condition(
+        self,
+        table_name: TableName,
+        source_queries: t.List[SourceQuery],
+        columns_to_types: t.Optional[t.Dict[str, exp.DataType]] = None,
+        where: t.Optional[exp.Condition] = None,
+        insert_overwrite_strategy_override: t.Optional[InsertOverwriteStrategy] = None,
+        **kwargs: t.Any,
+    ) -> None:
+        """
+        Implements the insert overwrite strategy for Fabric using DELETE and INSERT.
+
+        This method is overridden to avoid the MERGE statement from the parent
+        MSSQLEngineAdapter, which is not fully supported in Fabric.
+        """
+        return EngineAdapter._insert_overwrite_by_condition(
+            self,
+            table_name=table_name,
+            source_queries=source_queries,
+            columns_to_types=columns_to_types,
+            where=where,
+            insert_overwrite_strategy_override=InsertOverwriteStrategy.DELETE_INSERT,
+            **kwargs,
+        )

tests/core/engine_adapter/test_fabric.py

@@ -0,0 +1,83 @@
+# type: ignore
+
+import typing as t
+
+import pytest
+from sqlglot import exp, parse_one
+
+from sqlmesh.core.engine_adapter import FabricAdapter
+from tests.core.engine_adapter import to_sql_calls
+
+pytestmark = [pytest.mark.engine, pytest.mark.fabric]
+
+
+@pytest.fixture
+def adapter(make_mocked_engine_adapter: t.Callable) -> FabricAdapter:
+    return make_mocked_engine_adapter(FabricAdapter)
+
+
+def test_columns(adapter: FabricAdapter):
+    adapter.cursor.fetchall.return_value = [
+        ("decimal_ps", "decimal", None, 5, 4),
+        ("decimal", "decimal", None, 18, 0),
+        ("float", "float", None, 53, None),
+        ("char_n", "char", 10, None, None),
+        ("varchar_n", "varchar", 10, None, None),
+        ("nvarchar_max", "nvarchar", -1, None, None),
+    ]
+
+    assert adapter.columns("db.table") == {
+        "decimal_ps": exp.DataType.build("decimal(5, 4)", dialect=adapter.dialect),
+        "decimal": exp.DataType.build("decimal(18, 0)", dialect=adapter.dialect),
+        "float": exp.DataType.build("float(53)", dialect=adapter.dialect),
+        "char_n": exp.DataType.build("char(10)", dialect=adapter.dialect),
+        "varchar_n": exp.DataType.build("varchar(10)", dialect=adapter.dialect),
+        "nvarchar_max": exp.DataType.build("nvarchar(max)", dialect=adapter.dialect),
+    }
+
+    # Verify that the adapter queries the uppercase INFORMATION_SCHEMA
+    adapter.cursor.execute.assert_called_once_with(
+        """SELECT [COLUMN_NAME], [DATA_TYPE], [CHARACTER_MAXIMUM_LENGTH], [NUMERIC_PRECISION], [NUMERIC_SCALE] FROM [INFORMATION_SCHEMA].[COLUMNS] WHERE [TABLE_NAME] = 'table' AND [TABLE_SCHEMA] = 'db';"""
+    )
+
+
+def test_table_exists(adapter: FabricAdapter):
+    adapter.cursor.fetchone.return_value = (1,)
+    assert adapter.table_exists("db.table")
+    # Verify that the adapter queries the uppercase INFORMATION_SCHEMA
+    adapter.cursor.execute.assert_called_once_with(
+        """SELECT 1 FROM [INFORMATION_SCHEMA].[TABLES] WHERE [TABLE_NAME] = 'table' AND [TABLE_SCHEMA] = 'db';"""
+    )
+
+    adapter.cursor.fetchone.return_value = None
+    assert not adapter.table_exists("db.table")
+
+
+def test_insert_overwrite_by_time_partition(adapter: FabricAdapter):
+    adapter.insert_overwrite_by_time_partition(
+        "test_table",
+        parse_one("SELECT a, b FROM tbl"),
+        start="2022-01-01",
+        end="2022-01-02",
+        time_column="b",
+        time_formatter=lambda x, _: exp.Literal.string(x.strftime("%Y-%m-%d")),
+        columns_to_types={"a": exp.DataType.build("INT"), "b": exp.DataType.build("STRING")},
+    )
+
+    # Fabric adapter should use DELETE/INSERT strategy, not MERGE.
+    assert to_sql_calls(adapter) == [
+        """DELETE FROM [test_table] WHERE [b] BETWEEN '2022-01-01' AND '2022-01-02';""",
+        """INSERT INTO [test_table] ([a], [b]) SELECT [a], [b] FROM (SELECT [a] AS [a], [b] AS [b] FROM [tbl]) AS [_subquery] WHERE [b] BETWEEN '2022-01-01' AND '2022-01-02';""",
+    ]
+
+
+def test_replace_query(adapter: FabricAdapter):
+    adapter.cursor.fetchone.return_value = (1,)
+    adapter.replace_query("test_table", parse_one("SELECT a FROM tbl"), {"a": "int"})
+
+    # This behavior is inherited from MSSQLEngineAdapter and should be TRUNCATE + INSERT
+    assert to_sql_calls(adapter) == [
+        """SELECT 1 FROM [INFORMATION_SCHEMA].[TABLES] WHERE [TABLE_NAME] = 'test_table';""",
+        "TRUNCATE TABLE [test_table];",
+        "INSERT INTO [test_table] ([a]) SELECT [a] FROM [tbl];",
+    ]

tests/core/test_connection_config.py

@@ -12,6 +12,7 @@
     ConnectionConfig,
     DatabricksConnectionConfig,
     DuckDBAttachOptions,
+    FabricConnectionConfig,
     DuckDBConnectionConfig,
     GCPPostgresConnectionConfig,
     MotherDuckConnectionConfig,
@@ -1417,3 +1418,85 @@ def test_mssql_pymssql_connection_factory():
         # Clean up the mock module
         if "pymssql" in sys.modules:
             del sys.modules["pymssql"]
+
+
+def test_fabric_connection_config_defaults(make_config):
+    """Test Fabric connection config defaults to pyodbc and autocommit=True."""
+    config = make_config(type="fabric", host="localhost", check_import=False)
+    assert isinstance(config, FabricConnectionConfig)
+    assert config.driver == "pyodbc"
+    assert config.autocommit is True
+
+    # Ensure it creates the FabricAdapter
+    from sqlmesh.core.engine_adapter.fabric import FabricAdapter
+
+    assert isinstance(config.create_engine_adapter(), FabricAdapter)
+
+
+def test_fabric_connection_config_parameter_validation(make_config):
+    """Test Fabric connection config parameter validation."""
+    # Test that FabricConnectionConfig correctly handles pyodbc-specific parameters.
+    config = make_config(
+        type="fabric",
+        host="localhost",
+        driver_name="ODBC Driver 18 for SQL Server",
+        trust_server_certificate=True,
+        encrypt=False,
+        odbc_properties={"Authentication": "ActiveDirectoryServicePrincipal"},
+        check_import=False,
+    )
+    assert isinstance(config, FabricConnectionConfig)
+    assert config.driver == "pyodbc"  # Driver is fixed to pyodbc
+    assert config.driver_name == "ODBC Driver 18 for SQL Server"
+    assert config.trust_server_certificate is True
+    assert config.encrypt is False
+    assert config.odbc_properties == {"Authentication": "ActiveDirectoryServicePrincipal"}
+
+    # Test that specifying a different driver for Fabric raises an error
+    with pytest.raises(ConfigError, match=r"Input should be 'pyodbc'"):
+        make_config(type="fabric", host="localhost", driver="pymssql", check_import=False)
+
+
+def test_fabric_pyodbc_connection_string_generation():
+    """Test that the Fabric pyodbc connection gets invoked with the correct ODBC connection string."""
+    with patch("pyodbc.connect") as mock_pyodbc_connect:
+        # Create a Fabric config
+        config = FabricConnectionConfig(
+            host="testserver.datawarehouse.fabric.microsoft.com",
+            port=1433,
+            database="testdb",
+            user="testuser",
+            password="testpass",
+            driver_name="ODBC Driver 18 for SQL Server",
+            trust_server_certificate=True,
+            encrypt=True,
+            login_timeout=30,
+            check_import=False,
+        )
+
+        # Get the connection factory with kwargs and call it
+        factory_with_kwargs = config._connection_factory_with_kwargs
+        connection = factory_with_kwargs()
+
+        # Verify pyodbc.connect was called with the correct connection string
+        mock_pyodbc_connect.assert_called_once()
+        call_args = mock_pyodbc_connect.call_args
+
+        # Check the connection string (first argument)
+        conn_str = call_args[0][0]
+        expected_parts = [
+            "DRIVER={ODBC Driver 18 for SQL Server}",
+            "SERVER=testserver.datawarehouse.fabric.microsoft.com,1433",
+            "DATABASE=testdb",
+            "Encrypt=YES",
+            "TrustServerCertificate=YES",
+            "Connection Timeout=30",
+            "UID=testuser",
+            "PWD=testpass",
+        ]
+
+        for part in expected_parts:
+            assert part in conn_str
+
+        # Check autocommit parameter, should default to True for Fabric
+        assert call_args[1]["autocommit"] is True