1.7.0 Compat

.github/workflows/integration.yml

@@ -13,7 +13,7 @@ jobs:
       DBT_DATABRICKS_CLIENT_ID: ${{ secrets.TEST_PECO_SP_ID }}
       DBT_DATABRICKS_CLIENT_SECRET: ${{ secrets.TEST_PECO_SP_SECRET }}
       DBT_DATABRICKS_UC_INITIAL_CATALOG: peco
-      DBT_DATABRICKS_LOCATION_ROOT: ${{ secrets.TEST_PECO_EXTERNAL_LOCATION }}
+      DBT_DATABRICKS_LOCATION_ROOT: ${{ secrets.TEST_PECO_EXTERNAL_LOCATION }}test
       TEST_PECO_UC_CLUSTER_ID: ${{ secrets.TEST_PECO_UC_CLUSTER_ID }}
     steps:
       - name: Check out repository
@@ -41,7 +41,7 @@ jobs:
       DBT_DATABRICKS_CLIENT_SECRET: ${{ secrets.TEST_PECO_SP_SECRET }}
       DBT_DATABRICKS_HTTP_PATH: ${{ secrets.TEST_PECO_WAREHOUSE_HTTP_PATH }}
       DBT_DATABRICKS_UC_INITIAL_CATALOG: peco
-      DBT_DATABRICKS_LOCATION_ROOT: ${{ secrets.TEST_PECO_EXTERNAL_LOCATION }}
+      DBT_DATABRICKS_LOCATION_ROOT: ${{ secrets.TEST_PECO_EXTERNAL_LOCATION }}test
       TEST_PECO_UC_CLUSTER_ID: ${{ secrets.TEST_PECO_UC_CLUSTER_ID }}
     steps:
       - name: Check out repository
@@ -67,7 +67,7 @@ jobs:
       DBT_DATABRICKS_HOST_NAME: ${{ secrets.DATABRICKS_HOST }}
       DBT_DATABRICKS_TOKEN: ${{ secrets.DATABRICKS_TOKEN }}
       TEST_PECO_CLUSTER_ID: ${{ secrets.TEST_PECO_CLUSTER_ID }}
-      DBT_DATABRICKS_LOCATION_ROOT: ${{ secrets.TEST_PECO_EXTERNAL_LOCATION }}
+      DBT_DATABRICKS_LOCATION_ROOT: ${{ secrets.TEST_PECO_EXTERNAL_LOCATION }}test
     steps:
       - name: Check out repository
         uses: actions/checkout@v3

CHANGELOG.md

@@ -1,18 +1,19 @@
-## dbt-databricks 1.7.0 (TBD)
+## dbt-databricks 1.7.0 (November 9, 2023)
 
 ### Features
 
-- Added support for getting info only on specified relations to improve performance of gathering metadata ([486](https://github.com/databricks/dbt-databricks/pull/486))
+- Added support for getting info only on specified relations to improve performance of gathering metadata ([486](https://github.com/databricks/dbt-databricks/pull/486)), also (with generous help from from @mikealfare) ([499](https://github.com/databricks/dbt-databricks/pull/499))
 - Added support for getting freshness from metadata ([481](https://github.com/databricks/dbt-databricks/pull/481))
 
 ### Fixes
 
-- Node info now gets added to SQLQuery event ([494](https://github.com/databricks/dbt-databricks/pull/494))
+- Node info now gets added to SQLQuery event (thanks @davidharting!) ([494](https://github.com/databricks/dbt-databricks/pull/494))
+- Compatibility with dbt-spark and dbt-core 1.7.1 ([499](https://github.com/databricks/dbt-databricks/pull/499))
 
 ### Under the Hood
 
 - Added required adapter tests to ensure compatibility with 1.7.0 ([487](https://github.com/databricks/dbt-databricks/pull/487))
-- Improved large seed performance by not casting every value (thanks @nrichards17!) ([493](https://github.com/databricks/dbt-databricks/pull/493))
+- Improved large seed performance by not casting every value (thanks @nrichards17!) ([493](https://github.com/databricks/dbt-databricks/pull/493)). Note: for `file_format="parquet"` we still need to cast.
 
 ## dbt-databricks 1.7.0rc1 (October 13, 2023)
 

dbt/adapters/databricks/__version__.py

@@ -1 +1 @@
-version: str = "1.7.0rc1"
+version: str = "1.7.0"

dbt/adapters/databricks/impl.py

@@ -234,10 +234,9 @@ def get_relations_without_caching(self, relation: DatabricksRelation) -> Table:
         kwargs = {"relation": relation}
 
         new_rows: List[Tuple[Optional[str], str, str, str]]
-        if relation.database is not None:
-            assert relation.schema is not None
+        if all([relation.database, relation.schema]):
             tables = self.connections.list_tables(
-                database=relation.database, schema=relation.schema
+                database=relation.database, schema=relation.schema  # type: ignore[arg-type]
             )
 
             new_rows = []
@@ -256,47 +255,35 @@ def get_relations_without_caching(self, relation: DatabricksRelation) -> Table:
 
         # if there are any table types to be resolved
         if any(not row[3] for row in new_rows):
-            # Get view names and create a dictionay of view name to materialization
+            # Get view names and create a dictionary of view name to materialization
+            relation_all_tables = self.Relation.create(
+                database=relation.database, schema=relation.schema, identifier="*"
+            )
+
             with self._catalog(relation.database):
                 views = self.execute_macro(SHOW_VIEWS_MACRO_NAME, kwargs=kwargs)
-
+                tables = self.execute_macro(
+                    SHOW_TABLE_EXTENDED_MACRO_NAME, kwargs={"schema_relation": relation_all_tables}
+                )
             view_names: Dict[str, bool] = {
                 view["viewName"]: view.get("isMaterialized", False) for view in views
             }
-
-            # a function to resolve an unknown table type
-            def typeFromNames(
-                database: Optional[str], schema: str, name: str
-            ) -> DatabricksRelationType:
-                if name in view_names:
-                    # it is either a view or a materialized view
-                    return (
-                        DatabricksRelationType.MaterializedView
-                        if view_names[name]
-                        else DatabricksRelationType.View
-                    )
-                elif is_hive_metastore(database):
-                    return DatabricksRelationType.Table
-                else:
-                    # not a view so it might be a streaming table
-                    # get extended information to determine
-                    rel = self.Relation.create(database, schema, name)
-                    rel = self._set_relation_information(rel)
-                    if (
-                        rel.metadata is not None
-                        and rel.metadata.get("Type", "table") == "STREAMING_TABLE"
-                    ):
-                        return DatabricksRelationType.StreamingTable
-                    else:
-                        return DatabricksRelationType.Table
+            table_names: Dict[str, bool] = {
+                table["tableName"]: (self._parse_type(table["information"]) == "STREAMING_TABLE")
+                for table in tables
+            }
 
             # create a new collection of rows with the correct table types
             new_rows = [
                 (
                     row[0],
                     row[1],
                     row[2],
-                    str(row[3] if row[3] else typeFromNames(row[0], row[1], row[2])),
+                    str(
+                        row[3]
+                        if row[3]
+                        else self._type_from_names(row[0], row[2], view_names, table_names)
+                    ),
                 )
                 for row in new_rows
             ]
@@ -307,6 +294,40 @@ def typeFromNames(
             column_types=[Text(), Text(), Text(), Text()],
         )
 
+    def _parse_type(self, information: str) -> str:
+        type_entry = [
+            entry.strip() for entry in information.split("\n") if entry.split(":")[0] == "Type"
+        ]
+        return type_entry[0] if type_entry else ""
+
+    def _type_from_names(
+        self,
+        database: Optional[str],
+        name: str,
+        view_names: Dict[str, bool],
+        table_names: Dict[str, bool],
+    ) -> DatabricksRelationType:
+        if name in view_names:
+            # it is either a view or a materialized view
+            return (
+                DatabricksRelationType.MaterializedView
+                if view_names[name]
+                else DatabricksRelationType.View
+            )
+        elif is_hive_metastore(database):
+            return DatabricksRelationType.Table
+        elif name in table_names:
+            # it is either a table or a streaming table
+            return (
+                DatabricksRelationType.StreamingTable
+                if table_names[name]
+                else DatabricksRelationType.Table
+            )
+        else:
+            raise dbt.exceptions.DbtRuntimeError(
+                f"Unexpected relation type discovered: Database:{database}, Relation:{name}"
+            )
+
     def get_relation(
         self,
         database: Optional[str],
@@ -429,18 +450,28 @@ def parse_columns_from_information(  # type: ignore[override]
         return columns
 
     def get_catalog(
-        self, manifest: Manifest, selected_nodes: Optional[Set] = None
+        self, manifest: Manifest, selected_nodes: Optional[Set[Any]] = None
+    ) -> Tuple[Table, List[Exception]]:
+        if selected_nodes:
+            relations: Set[BaseRelation] = {
+                self.Relation.create_from(self.config, n) for n in selected_nodes
+            }
+        else:
+            relations = set(self._get_catalog_relations(manifest))
+        return self.get_catalog_by_relations(manifest, relations)
+
+    def get_catalog_by_relations(
+        self, manifest: Manifest, relations: Set[BaseRelation]
     ) -> Tuple[Table, List[Exception]]:
         with executor(self.config) as tpe:
-            catalog_relations = self._get_catalog_relations(manifest, selected_nodes)
-            relations_by_catalog = self._get_catalog_relations_by_info_schema(catalog_relations)
+            relations_by_catalog = self._get_catalog_relations_by_info_schema(relations)
 
             futures: List[Future[Table]] = []
 
-            for info_schema, relations in relations_by_catalog.items():
+            for info_schema, catalog_relations in relations_by_catalog.items():
                 if is_hive_metastore(info_schema.database):
                     schema_map = defaultdict(list)
-                    for relation in relations:
+                    for relation in catalog_relations:
                         schema_map[relation.schema].append(relation)
 
                     for schema, schema_relations in schema_map.items():
@@ -460,7 +491,7 @@ def get_catalog(
                         name,
                         self._get_one_catalog_by_relations,
                         info_schema,
-                        relations,
+                        catalog_relations,
                         manifest,
                     )
                     futures.append(fut)
@@ -471,7 +502,7 @@ def get_catalog(
     def _get_hive_catalog(
         self,
         schema: str,
-        relations: List[BaseRelation],
+        relations: Set[BaseRelation],
     ) -> Table:
         table_names = extract_identifiers(relations)
         columns: List[Dict[str, Any]] = []

dbt/adapters/databricks/relation.py

@@ -1,5 +1,5 @@
 from dataclasses import dataclass, field
-from typing import Any, Dict, List, Optional, Set, Type
+from typing import Any, Dict, Optional, Set, Type
 from dbt.contracts.relation import (
     ComponentName,
 )
@@ -141,5 +141,5 @@ def is_hive_metastore(database: Optional[str]) -> bool:
     return database is None or database.lower() == "hive_metastore"
 
 
-def extract_identifiers(relations: List[BaseRelation]) -> Set[str]:
+def extract_identifiers(relations: Set[BaseRelation]) -> Set[str]:
     return {r.identifier for r in relations if r.identifier is not None}

dbt/include/databricks/macros/materializations/seeds/helpers.sql

@@ -6,6 +6,7 @@
 
   {% set batch_size = get_batch_size() %}
   {% set column_override = model['config'].get('column_types', {}) %}
+  {% set must_cast = model['config'].get("file_format", "delta") == "parquet" %}
 
   {% set statements = [] %}
 
@@ -20,7 +21,13 @@
           insert {% if loop.index0 == 0 -%} overwrite {% else -%} into {% endif -%} {{ this.render() }} values
           {% for row in chunk -%}
               ({%- for col_name in agate_table.column_names -%}
-                  {{ get_binding_char() }}
+                  {%- if must_cast -%}
+                    {%- set inferred_type = adapter.convert_type(agate_table, loop.index0) -%}
+                    {%- set type = column_override.get(col_name, inferred_type) -%}
+                    cast({{ get_binding_char() }} as {{type}})
+                  {%- else -%}
+                    {{ get_binding_char() }}
+                  {%- endif -%}
                   {%- if not loop.last%},{%- endif %}
               {%- endfor -%})
               {%- if not loop.last%},{%- endif %}

dev-requirements.txt

@@ -23,8 +23,8 @@ tox>=3.2.0
 types-requests
 types-mock
 
-dbt-core==1.7.0rc1
-dbt-tests-adapter==1.7.0rc1
+dbt-core==1.7.1
+dbt-tests-adapter==1.7.1
 # git+https://github.com/dbt-labs/[email protected]#egg=dbt-spark
 # git+https://github.com/dbt-labs/[email protected]#egg=dbt-core&subdirectory=core
 # git+https://github.com/dbt-labs/[email protected]#egg=dbt-tests-adapter&subdirectory=tests/adapter

requirements.txt

@@ -1,4 +1,4 @@
 databricks-sql-connector>=2.9.3, <3.0.0
-dbt-spark==1.7.0rc1
-databricks-sdk==0.9.0
+dbt-spark==1.7.1
+databricks-sdk>=0.9.0
 keyring>=23.13.0

setup.py

@@ -54,7 +54,7 @@ def _get_plugin_version():
     packages=find_namespace_packages(include=["dbt", "dbt.*"]),
     include_package_data=True,
     install_requires=[
-        "dbt-spark==1.7.0rc1",
+        "dbt-spark==1.7.1",
         "databricks-sql-connector>=2.9.3, <3.0.0",
         "databricks-sdk>=0.9.0",
         "keyring>=23.13.0",