def test_default_no_data_leakage(setup):
import google.auth.credentials
from google.cloud.bigquery import client
from google.cloud.bigquery import job
mock_credentials = mock.Mock(spec=google.auth.credentials.Credentials)
test_client = client.Client(project="test_project",
credentials=mock_credentials,
location="test_location")
expected_attributes = {
"foo": "baz",
"db.system": "BigQuery",
"db.name": "test_project",
"location": "test_location",
}
with opentelemetry_tracing.create_span(TEST_SPAN_NAME,
attributes=TEST_SPAN_ATTRIBUTES,
client=test_client) as span:
assert span.name == TEST_SPAN_NAME
assert span.attributes == expected_attributes
test_job_reference = job._JobReference(job_id="test_job_id",
project="test_project_id",
location="test_location")
test_client = client.Client(project="test_project",
credentials=mock_credentials,
location="test_location")
test_job = job._AsyncJob(job_id=test_job_reference, client=test_client)
expected_attributes = {
"db.system": "BigQuery",
"db.name": "test_project_id",
"location": "test_location",
"num_child_jobs": 0,
"job_id": "test_job_id",
"foo": "baz",
"hasErrors": False,
}
with opentelemetry_tracing.create_span(TEST_SPAN_NAME,
attributes=TEST_SPAN_ATTRIBUTES,
job_ref=test_job) as span:
assert span.name == TEST_SPAN_NAME
assert span.attributes == expected_attributes
def create_table(schema_file_name):
# Creates table named bq_table_inventory to store metadata
credentials2 = service_account.Credentials.from_service_account_file(
SERVICE_ACCOUNT_KEY_FILE_PATH2)
ct_bigquery_client = client.Client(project=PROJECT_ID2,
credentials=credentials2)
table1 = Table.from_string(PROJECT_ID2 + "." + DATASET_ID + "." + TABLE_ID)
table1.schema = prepare_schema(schema_file_name)
table1.partitioning_type = 'DAY'
ct_bigquery_client.create_table(table1, exists_ok=True)
def test_span_creation_error(setup):
import google.auth.credentials
from google.cloud.bigquery import client
from google.api_core.exceptions import GoogleAPICallError, InvalidArgument
mock_credentials = mock.Mock(spec=google.auth.credentials.Credentials)
test_client = client.Client(project="test_project",
credentials=mock_credentials,
location="test_location")
expected_attributes = {
"foo": "baz",
"db.system": "BigQuery",
"db.name": "test_project",
"location": "test_location",
}
with pytest.raises(GoogleAPICallError):
with opentelemetry_tracing.create_span(TEST_SPAN_NAME,
attributes=TEST_SPAN_ATTRIBUTES,
client=test_client) as span:
assert span.name == TEST_SPAN_NAME
assert span.attributes == expected_attributes
raise InvalidArgument("test_error")
field_parts[1].strip(),
field_parts[2].strip(),
field_parts[3].strip())
table_schema.append(table_field)
f.close()
except IOError:
print(
'Unable to open/find the {} schema file'.format(schema_file_name))
return table_schema
# Starts here
create_table("table.schema")
credentials = service_account.Credentials.from_service_account_file(
SERVICE_ACCOUNT_KEY_FILE_PATH)
bq_client = client.Client(project=PROJECT_ID, credentials=credentials)
# get the list of all datasets in the intended project
dataset_list = bq_client.list_datasets(project=PROJECT_ID)
# Iterate over each dataset in the project
for i_dataset in dataset_list:
v_dataset = bq_dataset.DatasetReference(project=PROJECT_ID,
dataset_id=i_dataset.dataset_id)
print("Processing Dataset : {}".format(i_dataset.dataset_id))
table_list = bq_client.list_tables(dataset=v_dataset)
# if table_list.page_number > 0:
print("Processing Tables metadata")
# table_metadata holds dictionary of table attributes one dict per table
table_metadata = []
for i_table in table_list:
table = bq_client.get_table(i_table.reference)
