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test_bigquery.py
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#
# 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.
from __future__ import annotations
import json
from contextlib import suppress
from unittest import mock
from unittest.mock import ANY, MagicMock
import pandas as pd
import pytest
from google.cloud.bigquery import DEFAULT_RETRY
from google.cloud.exceptions import Conflict
from openlineage.client.facet import (
DataSourceDatasetFacet,
ExternalQueryRunFacet,
SqlJobFacet,
)
from openlineage.client.run import Dataset
from openlineage.common.provider.bigquery import BigQueryErrorRunFacet
from airflow.exceptions import AirflowException, AirflowSkipException, AirflowTaskTimeout, TaskDeferred
from airflow.providers.google.cloud.operators.bigquery import (
BigQueryCheckOperator,
BigQueryColumnCheckOperator,
BigQueryConsoleIndexableLink,
BigQueryConsoleLink,
BigQueryCreateEmptyDatasetOperator,
BigQueryCreateEmptyTableOperator,
BigQueryCreateExternalTableOperator,
BigQueryDeleteDatasetOperator,
BigQueryDeleteTableOperator,
BigQueryExecuteQueryOperator,
BigQueryGetDataOperator,
BigQueryGetDatasetOperator,
BigQueryGetDatasetTablesOperator,
BigQueryInsertJobOperator,
BigQueryIntervalCheckOperator,
BigQueryPatchDatasetOperator,
BigQueryUpdateDatasetOperator,
BigQueryUpdateTableOperator,
BigQueryUpdateTableSchemaOperator,
BigQueryUpsertTableOperator,
BigQueryValueCheckOperator,
)
from airflow.providers.google.cloud.triggers.bigquery import (
BigQueryCheckTrigger,
BigQueryGetDataTrigger,
BigQueryInsertJobTrigger,
BigQueryIntervalCheckTrigger,
BigQueryValueCheckTrigger,
)
from airflow.serialization.serialized_objects import SerializedDAG
from airflow.utils.timezone import datetime
from tests.test_utils.db import clear_db_dags, clear_db_runs, clear_db_serialized_dags, clear_db_xcom
TASK_ID = "test-bq-generic-operator"
TEST_DATASET = "test-dataset"
TEST_DATASET_LOCATION = "EU"
TEST_GCP_PROJECT_ID = "test-project"
TEST_JOB_PROJECT_ID = "test-job-project"
TEST_DELETE_CONTENTS = True
TEST_TABLE_ID = "test-table-id"
TEST_GCS_BUCKET = "test-bucket"
TEST_GCS_CSV_DATA = ["dir1/*.csv"]
TEST_SOURCE_CSV_FORMAT = "CSV"
TEST_GCS_PARQUET_DATA = ["dir1/*.parquet"]
TEST_SOURCE_PARQUET_FORMAT = "PARQUET"
DEFAULT_DATE = datetime(2015, 1, 1)
TEST_DAG_ID = "test-bigquery-operators"
TEST_TABLE_RESOURCES = {"tableReference": {"tableId": TEST_TABLE_ID}, "expirationTime": 1234567}
VIEW_DEFINITION = {
"query": f"SELECT * FROM `{TEST_DATASET}.{TEST_TABLE_ID}`",
"useLegacySql": False,
}
MATERIALIZED_VIEW_DEFINITION = {
"query": f"SELECT product, SUM(amount) FROM `{TEST_DATASET}.{TEST_TABLE_ID}` GROUP BY product",
"enableRefresh": True,
"refreshIntervalMs": 2000000,
}
TEST_TABLE = "test-table"
GCP_CONN_ID = "google_cloud_default"
TEST_JOB_ID_1 = "test-job-id"
TEST_JOB_ID_2 = "test-123"
TEST_FULL_JOB_ID = f"{TEST_GCP_PROJECT_ID}:{TEST_DATASET_LOCATION}:{TEST_JOB_ID_1}"
TEST_FULL_JOB_ID_2 = f"{TEST_GCP_PROJECT_ID}:{TEST_DATASET_LOCATION}:{TEST_JOB_ID_2}"
class TestBigQueryCreateEmptyTableOperator:
@mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
def test_execute(self, mock_hook):
operator = BigQueryCreateEmptyTableOperator(
task_id=TASK_ID, dataset_id=TEST_DATASET, project_id=TEST_GCP_PROJECT_ID, table_id=TEST_TABLE_ID
)
operator.execute(context=MagicMock())
mock_hook.return_value.create_empty_table.assert_called_once_with(
dataset_id=TEST_DATASET,
project_id=TEST_GCP_PROJECT_ID,
table_id=TEST_TABLE_ID,
schema_fields=None,
time_partitioning={},
cluster_fields=None,
labels=None,
view=None,
materialized_view=None,
encryption_configuration=None,
table_resource=None,
exists_ok=False,
)
@mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
def test_create_view(self, mock_hook):
operator = BigQueryCreateEmptyTableOperator(
task_id=TASK_ID,
dataset_id=TEST_DATASET,
project_id=TEST_GCP_PROJECT_ID,
table_id=TEST_TABLE_ID,
view=VIEW_DEFINITION,
)
operator.execute(context=MagicMock())
mock_hook.return_value.create_empty_table.assert_called_once_with(
dataset_id=TEST_DATASET,
project_id=TEST_GCP_PROJECT_ID,
table_id=TEST_TABLE_ID,
schema_fields=None,
time_partitioning={},
cluster_fields=None,
labels=None,
view=VIEW_DEFINITION,
materialized_view=None,
encryption_configuration=None,
table_resource=None,
exists_ok=False,
)
@mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
def test_create_materialized_view(self, mock_hook):
operator = BigQueryCreateEmptyTableOperator(
task_id=TASK_ID,
dataset_id=TEST_DATASET,
project_id=TEST_GCP_PROJECT_ID,
table_id=TEST_TABLE_ID,
materialized_view=MATERIALIZED_VIEW_DEFINITION,
)
operator.execute(context=MagicMock())
mock_hook.return_value.create_empty_table.assert_called_once_with(
dataset_id=TEST_DATASET,
project_id=TEST_GCP_PROJECT_ID,
table_id=TEST_TABLE_ID,
schema_fields=None,
time_partitioning={},
cluster_fields=None,
labels=None,
view=None,
materialized_view=MATERIALIZED_VIEW_DEFINITION,
encryption_configuration=None,
table_resource=None,
exists_ok=False,
)
@mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
def test_create_clustered_empty_table(self, mock_hook):
schema_fields = [
{"name": "emp_name", "type": "STRING", "mode": "REQUIRED"},
{"name": "date_hired", "type": "DATE", "mode": "REQUIRED"},
{"name": "date_birth", "type": "DATE", "mode": "NULLABLE"},
]
time_partitioning = {"type": "DAY", "field": "date_hired"}
cluster_fields = ["date_birth"]
operator = BigQueryCreateEmptyTableOperator(
task_id=TASK_ID,
dataset_id=TEST_DATASET,
project_id=TEST_GCP_PROJECT_ID,
table_id=TEST_TABLE_ID,
schema_fields=schema_fields,
time_partitioning=time_partitioning,
cluster_fields=cluster_fields,
)
operator.execute(context=MagicMock())
mock_hook.return_value.create_empty_table.assert_called_once_with(
dataset_id=TEST_DATASET,
project_id=TEST_GCP_PROJECT_ID,
table_id=TEST_TABLE_ID,
schema_fields=schema_fields,
time_partitioning=time_partitioning,
cluster_fields=cluster_fields,
labels=None,
view=None,
materialized_view=None,
encryption_configuration=None,
table_resource=None,
exists_ok=False,
)
@pytest.mark.parametrize(
"if_exists, is_conflict, expected_error, log_msg",
[
("ignore", False, None, None),
("log", False, None, None),
("log", True, None, f"Table {TEST_DATASET}.{TEST_TABLE_ID} already exists."),
("fail", False, None, None),
("fail", True, AirflowException, None),
("skip", False, None, None),
("skip", True, AirflowSkipException, None),
],
)
@mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
def test_create_existing_table(self, mock_hook, caplog, if_exists, is_conflict, expected_error, log_msg):
operator = BigQueryCreateEmptyTableOperator(
task_id=TASK_ID,
dataset_id=TEST_DATASET,
project_id=TEST_GCP_PROJECT_ID,
table_id=TEST_TABLE_ID,
view=VIEW_DEFINITION,
if_exists=if_exists,
)
if is_conflict:
mock_hook.return_value.create_empty_table.side_effect = Conflict("any")
else:
mock_hook.return_value.create_empty_table.side_effect = None
if expected_error is not None:
with pytest.raises(expected_error):
operator.execute(context=MagicMock())
else:
operator.execute(context=MagicMock())
if log_msg is not None:
assert log_msg in caplog.text
class TestBigQueryCreateExternalTableOperator:
@mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
def test_execute_with_csv_format(self, mock_hook):
operator = BigQueryCreateExternalTableOperator(
task_id=TASK_ID,
destination_project_dataset_table=f"{TEST_GCP_PROJECT_ID}.{TEST_DATASET}.{TEST_TABLE_ID}",
schema_fields=[],
bucket=TEST_GCS_BUCKET,
gcs_schema_bucket=TEST_GCS_BUCKET,
source_objects=TEST_GCS_CSV_DATA,
source_format=TEST_SOURCE_CSV_FORMAT,
autodetect=True,
)
mock_hook.return_value.split_tablename.return_value = (
TEST_GCP_PROJECT_ID,
TEST_DATASET,
TEST_TABLE_ID,
)
operator.execute(context=MagicMock())
mock_hook.return_value.create_empty_table.assert_called_once_with(
table_resource={
"tableReference": {
"projectId": TEST_GCP_PROJECT_ID,
"datasetId": TEST_DATASET,
"tableId": TEST_TABLE_ID,
},
"labels": None,
"schema": {"fields": []},
"externalDataConfiguration": {
"source_uris": [
f"gs://{TEST_GCS_BUCKET}/{source_object}" for source_object in TEST_GCS_CSV_DATA
],
"source_format": TEST_SOURCE_CSV_FORMAT,
"maxBadRecords": 0,
"autodetect": True,
"compression": "NONE",
"csvOptions": {
"fieldDelimiter": ",",
"skipLeadingRows": 0,
"quote": None,
"allowQuotedNewlines": False,
"allowJaggedRows": False,
},
},
"location": None,
"encryptionConfiguration": None,
}
)
@mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
def test_execute_with_parquet_format(self, mock_hook):
operator = BigQueryCreateExternalTableOperator(
task_id=TASK_ID,
destination_project_dataset_table=f"{TEST_GCP_PROJECT_ID}.{TEST_DATASET}.{TEST_TABLE_ID}",
schema_fields=[],
bucket=TEST_GCS_BUCKET,
gcs_schema_bucket=TEST_GCS_BUCKET,
source_objects=TEST_GCS_PARQUET_DATA,
source_format=TEST_SOURCE_PARQUET_FORMAT,
autodetect=True,
)
mock_hook.return_value.split_tablename.return_value = (
TEST_GCP_PROJECT_ID,
TEST_DATASET,
TEST_TABLE_ID,
)
operator.execute(context=MagicMock())
mock_hook.return_value.create_empty_table.assert_called_once_with(
table_resource={
"tableReference": {
"projectId": TEST_GCP_PROJECT_ID,
"datasetId": TEST_DATASET,
"tableId": TEST_TABLE_ID,
},
"labels": None,
"schema": {"fields": []},
"externalDataConfiguration": {
"source_uris": [
f"gs://{TEST_GCS_BUCKET}/{source_object}" for source_object in TEST_GCS_PARQUET_DATA
],
"source_format": TEST_SOURCE_PARQUET_FORMAT,
"maxBadRecords": 0,
"autodetect": True,
"compression": "NONE",
},
"location": None,
"encryptionConfiguration": None,
}
)
class TestBigQueryDeleteDatasetOperator:
@mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
def test_execute(self, mock_hook):
operator = BigQueryDeleteDatasetOperator(
task_id=TASK_ID,
dataset_id=TEST_DATASET,
project_id=TEST_GCP_PROJECT_ID,
delete_contents=TEST_DELETE_CONTENTS,
)
operator.execute(None)
mock_hook.return_value.delete_dataset.assert_called_once_with(
dataset_id=TEST_DATASET, project_id=TEST_GCP_PROJECT_ID, delete_contents=TEST_DELETE_CONTENTS
)
class TestBigQueryCreateEmptyDatasetOperator:
@mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
def test_execute(self, mock_hook):
operator = BigQueryCreateEmptyDatasetOperator(
task_id=TASK_ID,
dataset_id=TEST_DATASET,
project_id=TEST_GCP_PROJECT_ID,
location=TEST_DATASET_LOCATION,
)
operator.execute(context=MagicMock())
mock_hook.return_value.create_empty_dataset.assert_called_once_with(
dataset_id=TEST_DATASET,
project_id=TEST_GCP_PROJECT_ID,
location=TEST_DATASET_LOCATION,
dataset_reference={},
exists_ok=False,
)
@pytest.mark.parametrize(
"if_exists, is_conflict, expected_error, log_msg",
[
("ignore", False, None, None),
("log", False, None, None),
("log", True, None, f"Dataset {TEST_DATASET} already exists."),
("fail", False, None, None),
("fail", True, AirflowException, None),
("skip", False, None, None),
("skip", True, AirflowSkipException, None),
],
)
@mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
def test_create_empty_dataset(self, mock_hook, caplog, if_exists, is_conflict, expected_error, log_msg):
operator = BigQueryCreateEmptyDatasetOperator(
task_id=TASK_ID,
dataset_id=TEST_DATASET,
project_id=TEST_GCP_PROJECT_ID,
location=TEST_DATASET_LOCATION,
if_exists=if_exists,
)
if is_conflict:
mock_hook.return_value.create_empty_dataset.side_effect = Conflict("any")
else:
mock_hook.return_value.create_empty_dataset.side_effect = None
if expected_error is not None:
with pytest.raises(expected_error):
operator.execute(context=MagicMock())
else:
operator.execute(context=MagicMock())
if log_msg is not None:
assert log_msg in caplog.text
class TestBigQueryGetDatasetOperator:
@mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
def test_execute(self, mock_hook):
operator = BigQueryGetDatasetOperator(
task_id=TASK_ID, dataset_id=TEST_DATASET, project_id=TEST_GCP_PROJECT_ID
)
operator.execute(context=MagicMock())
mock_hook.return_value.get_dataset.assert_called_once_with(
dataset_id=TEST_DATASET, project_id=TEST_GCP_PROJECT_ID
)
class TestBigQueryUpdateTableOperator:
@mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
def test_execute(self, mock_hook):
table_resource = {"friendlyName": "Test TB"}
operator = BigQueryUpdateTableOperator(
table_resource=table_resource,
task_id=TASK_ID,
dataset_id=TEST_DATASET,
table_id=TEST_TABLE_ID,
project_id=TEST_GCP_PROJECT_ID,
)
operator.execute(context=MagicMock())
mock_hook.return_value.update_table.assert_called_once_with(
table_resource=table_resource,
fields=None,
dataset_id=TEST_DATASET,
table_id=TEST_TABLE_ID,
project_id=TEST_GCP_PROJECT_ID,
)
class TestBigQueryUpdateTableSchemaOperator:
@mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
def test_execute(self, mock_hook):
schema_field_updates = [
{
"name": "emp_name",
"description": "Name of employee",
}
]
operator = BigQueryUpdateTableSchemaOperator(
schema_fields_updates=schema_field_updates,
include_policy_tags=False,
task_id=TASK_ID,
dataset_id=TEST_DATASET,
table_id=TEST_TABLE_ID,
project_id=TEST_GCP_PROJECT_ID,
)
operator.execute(context=MagicMock())
mock_hook.return_value.update_table_schema.assert_called_once_with(
schema_fields_updates=schema_field_updates,
include_policy_tags=False,
dataset_id=TEST_DATASET,
table_id=TEST_TABLE_ID,
project_id=TEST_GCP_PROJECT_ID,
)
class TestBigQueryPatchDatasetOperator:
@mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
def test_execute(self, mock_hook):
dataset_resource = {"friendlyName": "Test DS"}
operator = BigQueryPatchDatasetOperator(
dataset_resource=dataset_resource,
task_id=TASK_ID,
dataset_id=TEST_DATASET,
project_id=TEST_GCP_PROJECT_ID,
)
operator.execute(None)
mock_hook.return_value.patch_dataset.assert_called_once_with(
dataset_resource=dataset_resource, dataset_id=TEST_DATASET, project_id=TEST_GCP_PROJECT_ID
)
class TestBigQueryUpdateDatasetOperator:
@mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
def test_execute(self, mock_hook):
dataset_resource = {"friendlyName": "Test DS"}
operator = BigQueryUpdateDatasetOperator(
dataset_resource=dataset_resource,
task_id=TASK_ID,
dataset_id=TEST_DATASET,
project_id=TEST_GCP_PROJECT_ID,
)
operator.execute(context=MagicMock())
mock_hook.return_value.update_dataset.assert_called_once_with(
dataset_resource=dataset_resource,
dataset_id=TEST_DATASET,
project_id=TEST_GCP_PROJECT_ID,
fields=list(dataset_resource.keys()),
)
class TestBigQueryOperator:
def teardown_method(self):
clear_db_xcom()
clear_db_runs()
clear_db_serialized_dags()
clear_db_dags()
@mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
def test_execute(self, mock_hook):
encryption_configuration = {"key": "kk"}
operator = BigQueryExecuteQueryOperator(
task_id=TASK_ID,
sql="Select * from test_table",
destination_dataset_table=None,
write_disposition="WRITE_EMPTY",
allow_large_results=False,
flatten_results=None,
gcp_conn_id="google_cloud_default",
udf_config=None,
use_legacy_sql=True,
maximum_billing_tier=None,
maximum_bytes_billed=None,
create_disposition="CREATE_IF_NEEDED",
schema_update_options=(),
query_params=None,
labels=None,
priority="INTERACTIVE",
time_partitioning=None,
api_resource_configs=None,
cluster_fields=None,
encryption_configuration=encryption_configuration,
)
operator.execute(MagicMock())
mock_hook.return_value.run_query.assert_called_once_with(
sql="Select * from test_table",
destination_dataset_table=None,
write_disposition="WRITE_EMPTY",
allow_large_results=False,
flatten_results=None,
udf_config=None,
maximum_billing_tier=None,
maximum_bytes_billed=None,
create_disposition="CREATE_IF_NEEDED",
schema_update_options=(),
query_params=None,
labels=None,
priority="INTERACTIVE",
time_partitioning=None,
api_resource_configs=None,
cluster_fields=None,
encryption_configuration=encryption_configuration,
)
@mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
def test_execute_list(self, mock_hook):
operator = BigQueryExecuteQueryOperator(
task_id=TASK_ID,
sql=[
"Select * from test_table",
"Select * from other_test_table",
],
destination_dataset_table=None,
write_disposition="WRITE_EMPTY",
allow_large_results=False,
flatten_results=None,
gcp_conn_id="google_cloud_default",
udf_config=None,
use_legacy_sql=True,
maximum_billing_tier=None,
maximum_bytes_billed=None,
create_disposition="CREATE_IF_NEEDED",
schema_update_options=(),
query_params=None,
labels=None,
priority="INTERACTIVE",
time_partitioning=None,
api_resource_configs=None,
cluster_fields=None,
encryption_configuration=None,
)
operator.execute(MagicMock())
mock_hook.return_value.run_query.assert_has_calls(
[
mock.call(
sql="Select * from test_table",
destination_dataset_table=None,
write_disposition="WRITE_EMPTY",
allow_large_results=False,
flatten_results=None,
udf_config=None,
maximum_billing_tier=None,
maximum_bytes_billed=None,
create_disposition="CREATE_IF_NEEDED",
schema_update_options=(),
query_params=None,
labels=None,
priority="INTERACTIVE",
time_partitioning=None,
api_resource_configs=None,
cluster_fields=None,
encryption_configuration=None,
),
mock.call(
sql="Select * from other_test_table",
destination_dataset_table=None,
write_disposition="WRITE_EMPTY",
allow_large_results=False,
flatten_results=None,
udf_config=None,
maximum_billing_tier=None,
maximum_bytes_billed=None,
create_disposition="CREATE_IF_NEEDED",
schema_update_options=(),
query_params=None,
labels=None,
priority="INTERACTIVE",
time_partitioning=None,
api_resource_configs=None,
cluster_fields=None,
encryption_configuration=None,
),
]
)
@mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
def test_execute_bad_type(self, mock_hook):
operator = BigQueryExecuteQueryOperator(
task_id=TASK_ID,
sql=1,
destination_dataset_table=None,
write_disposition="WRITE_EMPTY",
allow_large_results=False,
flatten_results=None,
gcp_conn_id="google_cloud_default",
udf_config=None,
use_legacy_sql=True,
maximum_billing_tier=None,
maximum_bytes_billed=None,
create_disposition="CREATE_IF_NEEDED",
schema_update_options=(),
query_params=None,
labels=None,
priority="INTERACTIVE",
time_partitioning=None,
api_resource_configs=None,
cluster_fields=None,
)
with pytest.raises(AirflowException):
operator.execute(MagicMock())
@mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
def test_bigquery_operator_defaults(self, mock_hook, create_task_instance_of_operator):
ti = create_task_instance_of_operator(
BigQueryExecuteQueryOperator,
dag_id=TEST_DAG_ID,
task_id=TASK_ID,
sql="Select * from test_table",
schema_update_options=None,
)
operator = ti.task
operator.execute(MagicMock())
mock_hook.return_value.run_query.assert_called_once_with(
sql="Select * from test_table",
destination_dataset_table=None,
write_disposition="WRITE_EMPTY",
allow_large_results=False,
flatten_results=None,
udf_config=None,
maximum_billing_tier=None,
maximum_bytes_billed=None,
create_disposition="CREATE_IF_NEEDED",
schema_update_options=None,
query_params=None,
labels=None,
priority="INTERACTIVE",
time_partitioning=None,
api_resource_configs=None,
cluster_fields=None,
encryption_configuration=None,
)
assert isinstance(operator.sql, str)
ti.render_templates()
assert isinstance(ti.task.sql, str)
@pytest.mark.need_serialized_dag
def test_bigquery_operator_extra_serialized_field_when_single_query(
self,
dag_maker,
create_task_instance_of_operator,
):
ti = create_task_instance_of_operator(
BigQueryExecuteQueryOperator,
dag_id=TEST_DAG_ID,
execution_date=DEFAULT_DATE,
task_id=TASK_ID,
sql="SELECT * FROM test_table",
)
serialized_dag = dag_maker.get_serialized_data()
assert "sql" in serialized_dag["dag"]["tasks"][0]
dag = SerializedDAG.from_dict(serialized_dag)
simple_task = dag.task_dict[TASK_ID]
assert getattr(simple_task, "sql") == "SELECT * FROM test_table"
#########################################################
# Verify Operator Links work with Serialized Operator
#########################################################
# Check Serialized version of operator link
assert serialized_dag["dag"]["tasks"][0]["_operator_extra_links"] == [
{"airflow.providers.google.cloud.operators.bigquery.BigQueryConsoleLink": {}}
]
# Check DeSerialized version of operator link
assert isinstance(list(simple_task.operator_extra_links)[0], BigQueryConsoleLink)
ti.xcom_push("job_id_path", TEST_FULL_JOB_ID)
url = simple_task.get_extra_links(ti, BigQueryConsoleLink.name)
assert url == f"https://console.cloud.google.com/bigquery?j={TEST_FULL_JOB_ID}"
@pytest.mark.need_serialized_dag
def test_bigquery_operator_extra_serialized_field_when_multiple_queries(
self,
dag_maker,
create_task_instance_of_operator,
):
ti = create_task_instance_of_operator(
BigQueryExecuteQueryOperator,
dag_id=TEST_DAG_ID,
execution_date=DEFAULT_DATE,
task_id=TASK_ID,
sql=["SELECT * FROM test_table", "SELECT * FROM test_table2"],
)
serialized_dag = dag_maker.get_serialized_data()
assert "sql" in serialized_dag["dag"]["tasks"][0]
dag = SerializedDAG.from_dict(serialized_dag)
simple_task = dag.task_dict[TASK_ID]
assert getattr(simple_task, "sql") == ["SELECT * FROM test_table", "SELECT * FROM test_table2"]
#########################################################
# Verify Operator Links work with Serialized Operator
#########################################################
# Check Serialized version of operator link
assert serialized_dag["dag"]["tasks"][0]["_operator_extra_links"] == [
{"airflow.providers.google.cloud.operators.bigquery.BigQueryConsoleIndexableLink": {"index": 0}},
{"airflow.providers.google.cloud.operators.bigquery.BigQueryConsoleIndexableLink": {"index": 1}},
]
# Check DeSerialized version of operator link
assert isinstance(list(simple_task.operator_extra_links)[0], BigQueryConsoleIndexableLink)
ti.xcom_push(key="job_id_path", value=[TEST_FULL_JOB_ID, TEST_FULL_JOB_ID_2])
assert {"BigQuery Console #1", "BigQuery Console #2"} == simple_task.operator_extra_link_dict.keys()
assert (
f"https://console.cloud.google.com/bigquery?j={TEST_FULL_JOB_ID}"
== simple_task.get_extra_links(ti, "BigQuery Console #1")
)
assert (
f"https://console.cloud.google.com/bigquery?j={TEST_FULL_JOB_ID_2}"
== simple_task.get_extra_links(ti, "BigQuery Console #2")
)
@mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
def test_bigquery_operator_extra_link_when_missing_job_id(
self, mock_hook, create_task_instance_of_operator
):
ti = create_task_instance_of_operator(
BigQueryExecuteQueryOperator,
dag_id=TEST_DAG_ID,
task_id=TASK_ID,
sql="SELECT * FROM test_table",
)
bigquery_task = ti.task
assert "" == bigquery_task.get_extra_links(ti, BigQueryConsoleLink.name)
@mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
def test_bigquery_operator_extra_link_when_single_query(
self,
mock_hook,
create_task_instance_of_operator,
):
ti = create_task_instance_of_operator(
BigQueryExecuteQueryOperator,
dag_id=TEST_DAG_ID,
execution_date=DEFAULT_DATE,
task_id=TASK_ID,
sql="SELECT * FROM test_table",
)
bigquery_task = ti.task
ti.xcom_push(key="job_id_path", value=TEST_FULL_JOB_ID)
assert (
f"https://console.cloud.google.com/bigquery?j={TEST_FULL_JOB_ID}"
== bigquery_task.get_extra_links(ti, BigQueryConsoleLink.name)
)
@mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
def test_bigquery_operator_extra_link_when_multiple_query(
self, mock_hook, create_task_instance_of_operator
):
ti = create_task_instance_of_operator(
BigQueryExecuteQueryOperator,
dag_id=TEST_DAG_ID,
execution_date=DEFAULT_DATE,
task_id=TASK_ID,
sql=["SELECT * FROM test_table", "SELECT * FROM test_table2"],
)
bigquery_task = ti.task
ti.xcom_push(key="job_id_path", value=[TEST_FULL_JOB_ID, TEST_FULL_JOB_ID_2])
assert {"BigQuery Console #1", "BigQuery Console #2"} == bigquery_task.operator_extra_link_dict.keys()
assert (
f"https://console.cloud.google.com/bigquery?j={TEST_FULL_JOB_ID}"
== bigquery_task.get_extra_links(ti, "BigQuery Console #1")
)
assert (
f"https://console.cloud.google.com/bigquery?j={TEST_FULL_JOB_ID_2}"
== bigquery_task.get_extra_links(ti, "BigQuery Console #2")
)
class TestBigQueryGetDataOperator:
@pytest.mark.parametrize("as_dict", [True, False])
@mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
def test_execute(self, mock_hook, as_dict):
max_results = 100
selected_fields = "DATE"
operator = BigQueryGetDataOperator(
gcp_conn_id=GCP_CONN_ID,
task_id=TASK_ID,
dataset_id=TEST_DATASET,
table_id=TEST_TABLE_ID,
table_project_id=TEST_GCP_PROJECT_ID,
max_results=max_results,
selected_fields=selected_fields,
location=TEST_DATASET_LOCATION,
as_dict=as_dict,
use_legacy_sql=False,
)
operator.execute(None)
mock_hook.assert_called_with(gcp_conn_id=GCP_CONN_ID, impersonation_chain=None, use_legacy_sql=False)
mock_hook.return_value.list_rows.assert_called_once_with(
dataset_id=TEST_DATASET,
table_id=TEST_TABLE_ID,
project_id=TEST_GCP_PROJECT_ID,
max_results=max_results,
selected_fields=selected_fields,
location=TEST_DATASET_LOCATION,
)
@mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
def test_generate_query__with_table_project_id(self, mock_hook):
operator = BigQueryGetDataOperator(
gcp_conn_id=GCP_CONN_ID,
task_id=TASK_ID,
dataset_id=TEST_DATASET,
table_id=TEST_TABLE_ID,
table_project_id=TEST_GCP_PROJECT_ID,
max_results=100,
use_legacy_sql=False,
)
assert (
operator.generate_query(hook=mock_hook) == f"select * from `{TEST_GCP_PROJECT_ID}."
f"{TEST_DATASET}.{TEST_TABLE_ID}` limit 100"
)
@mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
def test_generate_query__without_table_project_id(self, mock_hook):
hook_project_id = mock_hook.project_id
operator = BigQueryGetDataOperator(
gcp_conn_id=GCP_CONN_ID,
task_id=TASK_ID,
dataset_id=TEST_DATASET,
table_id=TEST_TABLE_ID,
max_results=100,
use_legacy_sql=False,
)
assert (
operator.generate_query(hook=mock_hook) == f"select * from `{hook_project_id}."
f"{TEST_DATASET}.{TEST_TABLE_ID}` limit 100"
)
@mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
def test_bigquery_get_data_operator_async_with_selected_fields(
self, mock_hook, create_task_instance_of_operator
):
"""
Asserts that a task is deferred and a BigQuerygetDataTrigger will be fired
when the BigQueryGetDataOperator is executed with deferrable=True.
"""
ti = create_task_instance_of_operator(
BigQueryGetDataOperator,
dag_id="dag_id",
task_id="get_data_from_bq",
dataset_id=TEST_DATASET,
table_id=TEST_TABLE_ID,
job_project_id=TEST_JOB_PROJECT_ID,
max_results=100,
selected_fields="value,name",
deferrable=True,
use_legacy_sql=False,
)
with pytest.raises(TaskDeferred) as exc:
ti.task.execute(MagicMock())
assert isinstance(
exc.value.trigger, BigQueryGetDataTrigger
), "Trigger is not a BigQueryGetDataTrigger"
@pytest.mark.parametrize("as_dict", [True, False])
@mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
def test_bigquery_get_data_operator_async_without_selected_fields(
self, mock_hook, create_task_instance_of_operator, as_dict
):
"""
Asserts that a task is deferred and a BigQueryGetDataTrigger will be fired
when the BigQueryGetDataOperator is executed with deferrable=True.
"""
ti = create_task_instance_of_operator(
BigQueryGetDataOperator,
dag_id="dag_id",
task_id="get_data_from_bq",
dataset_id=TEST_DATASET,
table_id=TEST_TABLE_ID,
job_project_id=TEST_JOB_PROJECT_ID,
max_results=100,
deferrable=True,
as_dict=as_dict,
use_legacy_sql=False,
)
with pytest.raises(TaskDeferred) as exc:
ti.task.execute(MagicMock())
assert isinstance(
exc.value.trigger, BigQueryGetDataTrigger
), "Trigger is not a BigQueryGetDataTrigger"
@pytest.mark.parametrize("as_dict", [True, False])
def test_bigquery_get_data_operator_execute_failure(self, as_dict):
"""Tests that an AirflowException is raised in case of error event"""
operator = BigQueryGetDataOperator(
task_id="get_data_from_bq",
dataset_id=TEST_DATASET,
table_id="any",
job_project_id=TEST_JOB_PROJECT_ID,
max_results=100,
deferrable=True,
as_dict=as_dict,
use_legacy_sql=False,
)
with pytest.raises(AirflowException):
operator.execute_complete(
context=None, event={"status": "error", "message": "test failure message"}
)
@pytest.mark.parametrize("as_dict", [True, False])
def test_bigquery_get_data_op_execute_complete_with_records(self, as_dict):
"""Asserts that exception is raised with correct expected exception message"""
operator = BigQueryGetDataOperator(
task_id="get_data_from_bq",
dataset_id=TEST_DATASET,
table_id="any",
job_project_id=TEST_JOB_PROJECT_ID,
max_results=100,
deferrable=True,
as_dict=as_dict,