openlineage, common.sql: send column lineage from SQL operators.

airflow/providers/openlineage/sqlparser.py

@@ -20,7 +20,15 @@
 
 import sqlparse
 from attrs import define
-from openlineage.client.facet import BaseFacet, ExtractionError, ExtractionErrorRunFacet, SqlJobFacet
+from openlineage.client.facet import (
+    BaseFacet,
+    ColumnLineageDatasetFacet,
+    ColumnLineageDatasetFacetFieldsAdditional,
+    ColumnLineageDatasetFacetFieldsAdditionalInputFields,
+    ExtractionError,
+    ExtractionErrorRunFacet,
+    SqlJobFacet,
+)
 from openlineage.common.sql import DbTableMeta, SqlMeta, parse
 
 from airflow.providers.openlineage.extractors.base import OperatorLineage
@@ -143,6 +151,47 @@ def parse_table_schemas(
             else None,
         )
 
+    def attach_column_lineage(
+        self, datasets: list[Dataset], database: str | None, parse_result: SqlMeta
+    ) -> None:
+        """
+        Attaches column lineage facet to the list of datasets.
+
+        Note that currently each dataset has the same column lineage information set.
+        This would be a matter of change after OpenLineage SQL Parser improvements.
+        """
+        if not len(parse_result.column_lineage):
+            return
+        for dataset in datasets:
+            dataset.facets["columnLineage"] = ColumnLineageDatasetFacet(
+                fields={
+                    column_lineage.descendant.name: ColumnLineageDatasetFacetFieldsAdditional(
+                        inputFields=[
+                            ColumnLineageDatasetFacetFieldsAdditionalInputFields(
+                                namespace=dataset.namespace,
+                                name=".".join(
+                                    filter(
+                                        None,
+                                        (
+                                            column_meta.origin.database or database,
+                                            column_meta.origin.schema or self.default_schema,
+                                            column_meta.origin.name,
+                                        ),
+                                    )
+                                )
+                                if column_meta.origin
+                                else "",
+                                field=column_meta.name,
+                            )
+                            for column_meta in column_lineage.lineage
+                        ],
+                        transformationType="",
+                        transformationDescription="",
+                    )
+                    for column_lineage in parse_result.column_lineage
+                }
+            )
+
     def generate_openlineage_metadata_from_sql(
         self,
         sql: list[str] | str,
@@ -198,6 +247,8 @@ def generate_openlineage_metadata_from_sql(
             sqlalchemy_engine=sqlalchemy_engine,
         )
 
+        self.attach_column_lineage(outputs, database or database_info.database, parse_result)
+
         return OperatorLineage(
             inputs=inputs,
             outputs=outputs,

tests/integration/providers/openlineage/__init__.py

@@ -0,0 +1,16 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.

tests/integration/providers/openlineage/operators/__init__.py

@@ -0,0 +1,16 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.

tests/providers/openlineage/utils/test_sqlparser.py

@@ -20,7 +20,14 @@
 from unittest.mock import MagicMock
 
 import pytest
-from openlineage.client.facet import SchemaDatasetFacet, SchemaField, SqlJobFacet
+from openlineage.client.facet import (
+    ColumnLineageDatasetFacet,
+    ColumnLineageDatasetFacetFieldsAdditional,
+    ColumnLineageDatasetFacetFieldsAdditionalInputFields,
+    SchemaDatasetFacet,
+    SchemaField,
+    SqlJobFacet,
+)
 from openlineage.client.run import Dataset
 from openlineage.common.sql import DbTableMeta
 
@@ -33,16 +40,6 @@
 
 NAMESPACE = "test_namespace"
 
-SCHEMA_FACET = SchemaDatasetFacet(
-    fields=[
-        SchemaField(name="ID", type="int4"),
-        SchemaField(name="AMOUNT_OFF", type="int4"),
-        SchemaField(name="CUSTOMER_EMAIL", type="varchar"),
-        SchemaField(name="STARTS_ON", type="timestamp"),
-        SchemaField(name="ENDS_ON", type="timestamp"),
-    ]
-)
-
 
 def normalize_name_lower(name: str) -> str:
     return name.lower()
@@ -56,7 +53,8 @@ def test_get_tables_hierarchy(self):
 
         # base check with db, no cross db
         assert SQLParser._get_tables_hierarchy(
-            [DbTableMeta("Db.Schema1.Table1"), DbTableMeta("Db.Schema2.Table2")], normalize_name_lower
+            [DbTableMeta("Db.Schema1.Table1"), DbTableMeta("Db.Schema2.Table2")],
+            normalize_name_lower,
         ) == {None: {"schema1": ["Table1"], "schema2": ["Table2"]}}
 
         # same, with cross db
@@ -148,20 +146,42 @@ def rows(name):
             ]
 
         hook.get_conn.return_value.cursor.return_value.fetchall.side_effect = [
-            rows("TABLE_IN"),
-            rows("TABLE_OUT"),
+            rows("top_delivery_times"),
+            rows("popular_orders_day_of_week"),
         ]
 
+        expected_schema_facet = SchemaDatasetFacet(
+            fields=[
+                SchemaField(name="ID", type="int4"),
+                SchemaField(name="AMOUNT_OFF", type="int4"),
+                SchemaField(name="CUSTOMER_EMAIL", type="varchar"),
+                SchemaField(name="STARTS_ON", type="timestamp"),
+                SchemaField(name="ENDS_ON", type="timestamp"),
+            ]
+        )
+
         expected = (
-            [Dataset(namespace=NAMESPACE, name="PUBLIC.TABLE_IN", facets={"schema": SCHEMA_FACET})],
-            [Dataset(namespace=NAMESPACE, name="PUBLIC.TABLE_OUT", facets={"schema": SCHEMA_FACET})],
+            [
+                Dataset(
+                    namespace=NAMESPACE,
+                    name="PUBLIC.top_delivery_times",
+                    facets={"schema": expected_schema_facet},
+                )
+            ],
+            [
+                Dataset(
+                    namespace=NAMESPACE,
+                    name="PUBLIC.popular_orders_day_of_week",
+                    facets={"schema": expected_schema_facet},
+                )
+            ],
         )
 
         assert expected == parser.parse_table_schemas(
             hook=hook,
             namespace=NAMESPACE,
-            inputs=[DbTableMeta("TABLE_IN")],
-            outputs=[DbTableMeta("TABLE_OUT")],
+            inputs=[DbTableMeta("top_delivery_times")],
+            outputs=[DbTableMeta("popular_orders_day_of_week")],
             database_info=db_info,
         )
 
@@ -173,64 +193,125 @@ def test_generate_openlineage_metadata_from_sql(self, mock_parse, parser_returns
 
         hook = MagicMock()
 
-        def rows(schema, table):
-            return [
-                (schema, table, "ID", 1, "int4"),
-                (schema, table, "AMOUNT_OFF", 2, "int4"),
-                (schema, table, "CUSTOMER_EMAIL", 3, "varchar"),
-                (schema, table, "STARTS_ON", 4, "timestamp"),
-                (schema, table, "ENDS_ON", 5, "timestamp"),
-            ]
+        returned_schema = DB_SCHEMA_NAME if parser_returns_schema else None
+        returned_rows = [
+            [
+                (returned_schema, "top_delivery_times", "order_id", 1, "int4"),
+                (
+                    returned_schema,
+                    "top_delivery_times",
+                    "order_placed_on",
+                    2,
+                    "timestamp",
+                ),
+                (returned_schema, "top_delivery_times", "customer_email", 3, "varchar"),
+            ],
+            [
+                (
+                    returned_schema,
+                    "popular_orders_day_of_week",
+                    "order_day_of_week",
+                    1,
+                    "varchar",
+                ),
+                (
+                    returned_schema,
+                    "popular_orders_day_of_week",
+                    "order_placed_on",
+                    2,
+                    "timestamp",
+                ),
+                (
+                    returned_schema,
+                    "popular_orders_day_of_week",
+                    "orders_placed",
+                    3,
+                    "int4",
+                ),
+            ],
+        ]
 
-        sql = """CREATE TABLE table_out (
-            ID int,
-            AMOUNT_OFF int,
-            CUSTOMER_EMAIL varchar,
-            STARTS_ON timestamp,
-            ENDS_ON timestamp
+        sql = """INSERT INTO popular_orders_day_of_week (order_day_of_week)
+    SELECT EXTRACT(ISODOW FROM order_placed_on) AS order_day_of_week
+      FROM top_delivery_times
             --irrelevant comment
         )
         ;
         """
 
-        hook.get_conn.return_value.cursor.return_value.fetchall.side_effect = [
-            rows(DB_SCHEMA_NAME if parser_returns_schema else None, "TABLE_IN"),
-            rows(DB_SCHEMA_NAME if parser_returns_schema else None, "TABLE_OUT"),
-        ]
+        hook.get_conn.return_value.cursor.return_value.fetchall.side_effect = returned_rows
 
         mock_sql_meta = MagicMock()
         if parser_returns_schema:
-            mock_sql_meta.in_tables = [DbTableMeta("PUBLIC.TABLE_IN")]
-            mock_sql_meta.out_tables = [DbTableMeta("PUBLIC.TABLE_OUT")]
+            mock_sql_meta.in_tables = [DbTableMeta("PUBLIC.top_delivery_times")]
+            mock_sql_meta.out_tables = [DbTableMeta("PUBLIC.popular_orders_day_of_week")]
         else:
-            mock_sql_meta.in_tables = [DbTableMeta("TABLE_IN")]
-            mock_sql_meta.out_tables = [DbTableMeta("TABLE_OUT")]
+            mock_sql_meta.in_tables = [DbTableMeta("top_delivery_times")]
+            mock_sql_meta.out_tables = [DbTableMeta("popular_orders_day_of_week")]
+        mock_column_lineage = MagicMock()
+        mock_column_lineage.descendant.name = "order_day_of_week"
+        mock_lineage = MagicMock()
+        mock_lineage.name = "order_placed_on"
+        mock_lineage.origin.name = "top_delivery_times"
+        mock_lineage.origin.database = None
+        mock_lineage.origin.schema = "PUBLIC" if parser_returns_schema else None
+        mock_column_lineage.lineage = [mock_lineage]
+
+        mock_sql_meta.column_lineage = [mock_column_lineage]
         mock_sql_meta.errors = []
 
         mock_parse.return_value = mock_sql_meta
 
-        formatted_sql = """CREATE TABLE table_out (
-            ID int,
-            AMOUNT_OFF int,
-            CUSTOMER_EMAIL varchar,
-            STARTS_ON timestamp,
-            ENDS_ON timestamp
+        formatted_sql = """INSERT INTO popular_orders_day_of_week (order_day_of_week)
+    SELECT EXTRACT(ISODOW FROM order_placed_on) AS order_day_of_week
+      FROM top_delivery_times
 
 )"""
         expected_schema = "PUBLIC" if parser_returns_schema else "ANOTHER_SCHEMA"
         expected = OperatorLineage(
             inputs=[
                 Dataset(
                     namespace="myscheme://host:port",
-                    name=f"{expected_schema}.TABLE_IN",
-                    facets={"schema": SCHEMA_FACET},
+                    name=f"{expected_schema}.top_delivery_times",
+                    facets={
+                        "schema": SchemaDatasetFacet(
+                            fields=[
+                                SchemaField(name="order_id", type="int4"),
+                                SchemaField(name="order_placed_on", type="timestamp"),
+                                SchemaField(name="customer_email", type="varchar"),
+                            ]
+                        )
+                    },
                 )
             ],
             outputs=[
                 Dataset(
                     namespace="myscheme://host:port",
-                    name=f"{expected_schema}.TABLE_OUT",
-                    facets={"schema": SCHEMA_FACET},
+                    name=f"{expected_schema}.popular_orders_day_of_week",
+                    facets={
+                        "schema": SchemaDatasetFacet(
+                            fields=[
+                                SchemaField(name="order_day_of_week", type="varchar"),
+                                SchemaField(name="order_placed_on", type="timestamp"),
+                                SchemaField(name="orders_placed", type="int4"),
+                            ]
+                        ),
+                        "columnLineage": ColumnLineageDatasetFacet(
+                            fields={
+                                "order_day_of_week": ColumnLineageDatasetFacetFieldsAdditional(
+                                    inputFields=[
+                                        ColumnLineageDatasetFacetFieldsAdditionalInputFields(
+                                            namespace="myscheme://host:port",
+                                            name=f"{expected_schema}.top_delivery_times",
+                                            field="order_placed_on",
+                                        )
+                                    ],
+                                    transformationDescription="",
+                                    transformationType="",
+                                )
+                            }
+                        ),
+                    },
                 )
             ],
             job_facets={"sql": SqlJobFacet(query=formatted_sql)},