openlineage, bigquery: add openlineage method support for BigQueryInsertJobOperator

airflow/providers/google/cloud/hooks/bigquery.py

@@ -2245,7 +2245,7 @@ def run_query(
         self.running_job_id = job.job_id
         return job.job_id
 
-    def generate_job_id(self, job_id, dag_id, task_id, logical_date, configuration, force_rerun=False):
+    def generate_job_id(self, job_id, dag_id, task_id, logical_date, configuration, force_rerun=False) -> str:
         if force_rerun:
             hash_base = str(uuid.uuid4())
         else:

airflow/providers/google/cloud/operators/bigquery.py

@@ -133,6 +133,68 @@ def get_db_hook(self: BigQueryCheckOperator) -> BigQueryHook:  # type:ignore[mis
         )
 
 
+class _BigQueryOpenLineageMixin:
+    def get_openlineage_facets_on_complete(self, task_instance):
+        """
+        Retrieve OpenLineage data for a COMPLETE BigQuery job.
+
+        This method retrieves statistics for the specified job_ids using the BigQueryDatasetsProvider.
+        It calls BigQuery API, retrieving input and output dataset info from it, as well as run-level
+        usage statistics.
+
+        Run facets should contain:
+            - ExternalQueryRunFacet
+            - BigQueryJobRunFacet
+
+        Job facets should contain:
+            - SqlJobFacet if operator has self.sql
+
+        Input datasets should contain facets:
+            - DataSourceDatasetFacet
+            - SchemaDatasetFacet
+
+        Output datasets should contain facets:
+            - DataSourceDatasetFacet
+            - SchemaDatasetFacet
+            - OutputStatisticsOutputDatasetFacet
+        """
+        from openlineage.client.facet import SqlJobFacet
+        from openlineage.common.provider.bigquery import BigQueryDatasetsProvider
+
+        from airflow.providers.openlineage.extractors import OperatorLineage
+        from airflow.providers.openlineage.utils.utils import normalize_sql
+
+        if not self.job_id:
+            return OperatorLineage()
+
+        client = self.hook.get_client(project_id=self.hook.project_id)
+        job_ids = self.job_id
+        if isinstance(self.job_id, str):
+            job_ids = [self.job_id]
+        inputs, outputs, run_facets = {}, {}, {}
+        for job_id in job_ids:
+            stats = BigQueryDatasetsProvider(client=client).get_facets(job_id=job_id)
+            for input in stats.inputs:
+                input = input.to_openlineage_dataset()
+                inputs[input.name] = input
+            if stats.output:
+                output = stats.output.to_openlineage_dataset()
+                outputs[output.name] = output
+            for key, value in stats.run_facets.items():
+                run_facets[key] = value
+
+        job_facets = {}
+        if hasattr(self, "sql"):
+            job_facets["sql"] = SqlJobFacet(query=normalize_sql(self.sql))
+
+        return OperatorLineage(
+            inputs=list(inputs.values()),
+            outputs=list(outputs.values()),
+            run_facets=run_facets,
+            job_facets=job_facets,
+        )
+
+
 class BigQueryCheckOperator(_BigQueryDbHookMixin, SQLCheckOperator):
     """Performs checks against BigQuery.
 
@@ -1153,6 +1215,7 @@ def __init__(
         self.encryption_configuration = encryption_configuration
         self.hook: BigQueryHook | None = None
         self.impersonation_chain = impersonation_chain
+        self.job_id: str | list[str] | None = None
 
     def execute(self, context: Context):
         if self.hook is None:
@@ -1164,7 +1227,7 @@ def execute(self, context: Context):
                 impersonation_chain=self.impersonation_chain,
             )
         if isinstance(self.sql, str):
-            job_id: str | list[str] = self.hook.run_query(
+            self.job_id = self.hook.run_query(
                 sql=self.sql,
                 destination_dataset_table=self.destination_dataset_table,
                 write_disposition=self.write_disposition,
@@ -1184,7 +1247,7 @@ def execute(self, context: Context):
                 encryption_configuration=self.encryption_configuration,
             )
         elif isinstance(self.sql, Iterable):
-            job_id = [
+            self.job_id = [
                 self.hook.run_query(
                     sql=s,
                     destination_dataset_table=self.destination_dataset_table,
@@ -1210,9 +1273,9 @@ def execute(self, context: Context):
             raise AirflowException(f"argument 'sql' of type {type(str)} is neither a string nor an iterable")
         project_id = self.hook.project_id
         if project_id:
-            job_id_path = convert_job_id(job_id=job_id, project_id=project_id, location=self.location)
+            job_id_path = convert_job_id(job_id=self.job_id, project_id=project_id, location=self.location)
             context["task_instance"].xcom_push(key="job_id_path", value=job_id_path)
-        return job_id
+        return self.job_id
 
     def on_kill(self) -> None:
         super().on_kill()
@@ -2562,7 +2625,7 @@ def execute(self, context: Context):
         return table
 
 
-class BigQueryInsertJobOperator(GoogleCloudBaseOperator):
+class BigQueryInsertJobOperator(GoogleCloudBaseOperator, _BigQueryOpenLineageMixin):
     """Execute a BigQuery job.
 
     Waits for the job to complete and returns job id.
@@ -2663,6 +2726,13 @@ def __init__(
         self.deferrable = deferrable
         self.poll_interval = poll_interval
 
+    @property
+    def sql(self) -> str | None:
+        try:
+            return self.configuration["query"]["query"]
+        except KeyError:
+            return None
+
     def prepare_template(self) -> None:
         # If .json is passed then we have to read the file
         if isinstance(self.configuration, str) and self.configuration.endswith(".json"):
@@ -2697,7 +2767,7 @@ def execute(self, context: Any):
         )
         self.hook = hook
 
-        job_id = hook.generate_job_id(
+        self.job_id = hook.generate_job_id(
             job_id=self.job_id,
             dag_id=self.dag_id,
             task_id=self.task_id,
@@ -2708,13 +2778,13 @@ def execute(self, context: Any):
 
         try:
             self.log.info("Executing: %s'", self.configuration)
-            job: BigQueryJob | UnknownJob = self._submit_job(hook, job_id)
+            job: BigQueryJob | UnknownJob = self._submit_job(hook, self.job_id)
         except Conflict:
             # If the job already exists retrieve it
             job = hook.get_job(
                 project_id=self.project_id,
                 location=self.location,
-                job_id=job_id,
+                job_id=self.job_id,
             )
             if job.state in self.reattach_states:
                 # We are reattaching to a job
@@ -2723,7 +2793,7 @@ def execute(self, context: Any):
             else:
                 # Same job configuration so we need force_rerun
                 raise AirflowException(
-                    f"Job with id: {job_id} already exists and is in {job.state} state. If you "
+                    f"Job with id: {self.job_id} already exists and is in {job.state} state. If you "
                     f"want to force rerun it consider setting `force_rerun=True`."
                     f"Or, if you want to reattach in this scenario add {job.state} to `reattach_states`"
                 )
@@ -2757,7 +2827,9 @@ def execute(self, context: Any):
         self.job_id = job.job_id
         project_id = self.project_id or self.hook.project_id
         if project_id:
-            job_id_path = convert_job_id(job_id=job_id, project_id=project_id, location=self.location)
+            job_id_path = convert_job_id(
+                job_id=self.job_id, project_id=project_id, location=self.location  # type: ignore[arg-type]
+            )
             context["ti"].xcom_push(key="job_id_path", value=job_id_path)
         # Wait for the job to complete
         if not self.deferrable:

airflow/providers/openlineage/extractors/base.py

@@ -86,6 +86,12 @@ def extract(self) -> OperatorLineage | None:
         # OpenLineage methods are optional - if there's no method, return None
         try:
             return self._get_openlineage_facets(self.operator.get_openlineage_facets_on_start)  # type: ignore
+        except ImportError:
+            self.log.error(
+                "OpenLineage provider method failed to import OpenLineage integration. "
+                "This should not happen. Please report this bug to developers."
+            )
+            return None
         except AttributeError:
             return None
 

airflow/providers/openlineage/utils/utils.py

@@ -23,7 +23,7 @@
 import os
 from contextlib import suppress
 from functools import wraps
-from typing import TYPE_CHECKING, Any
+from typing import TYPE_CHECKING, Any, Iterable
 from urllib.parse import parse_qsl, urlencode, urlparse, urlunparse
 
 import attrs
@@ -414,3 +414,10 @@ def is_source_enabled() -> bool:
 def get_filtered_unknown_operator_keys(operator: BaseOperator) -> dict:
     not_required_keys = {"dag", "task_group"}
     return {attr: value for attr, value in operator.__dict__.items() if attr not in not_required_keys}
+
+
+def normalize_sql(sql: str | Iterable[str]):
+    if isinstance(sql, str):
+        sql = [stmt for stmt in sql.split(";") if stmt != ""]
+    sql = [obj for stmt in sql for obj in stmt.split(";") if obj != ""]
+    return ";\n".join(sql)