forked from googleapis/python-bigquery
/
test_query.py
2016 lines (1735 loc) · 78.3 KB
/
test_query.py
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# Copyright 2015 Google LLC
#
# Licensed 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.
import concurrent
import copy
import http
import textwrap
import types
import freezegun
from google.api_core import exceptions
import google.api_core.retry
import mock
import requests
from google.cloud.bigquery.client import _LIST_ROWS_FROM_QUERY_RESULTS_FIELDS
import google.cloud.bigquery.query
from google.cloud.bigquery.table import _EmptyRowIterator
from ..helpers import make_connection
from .helpers import _Base
from .helpers import _make_client
class TestQueryJob(_Base):
JOB_TYPE = "query"
QUERY = "select count(*) from persons"
DESTINATION_TABLE = "destination_table"
@staticmethod
def _get_target_class():
from google.cloud.bigquery.job import QueryJob
return QueryJob
def _make_resource(self, started=False, ended=False, location="US"):
resource = super(TestQueryJob, self)._make_resource(
started, ended, location=location
)
config = resource["configuration"]["query"]
config["query"] = self.QUERY
return resource
def _verifyBooleanResourceProperties(self, job, config):
if "allowLargeResults" in config:
self.assertEqual(job.allow_large_results, config["allowLargeResults"])
else:
self.assertIsNone(job.allow_large_results)
if "flattenResults" in config:
self.assertEqual(job.flatten_results, config["flattenResults"])
else:
self.assertIsNone(job.flatten_results)
if "useQueryCache" in config:
self.assertEqual(job.use_query_cache, config["useQueryCache"])
else:
self.assertIsNone(job.use_query_cache)
if "useLegacySql" in config:
self.assertEqual(job.use_legacy_sql, config["useLegacySql"])
else:
self.assertIsNone(job.use_legacy_sql)
def _verifyIntegerResourceProperties(self, job, config):
if "maximumBillingTier" in config:
self.assertEqual(job.maximum_billing_tier, config["maximumBillingTier"])
else:
self.assertIsNone(job.maximum_billing_tier)
if "maximumBytesBilled" in config:
self.assertEqual(
str(job.maximum_bytes_billed), config["maximumBytesBilled"]
)
self.assertIsInstance(job.maximum_bytes_billed, int)
else:
self.assertIsNone(job.maximum_bytes_billed)
def _verify_udf_resources(self, job, config):
udf_resources = config.get("userDefinedFunctionResources", ())
self.assertEqual(len(job.udf_resources), len(udf_resources))
for found, expected in zip(job.udf_resources, udf_resources):
if "resourceUri" in expected:
self.assertEqual(found.udf_type, "resourceUri")
self.assertEqual(found.value, expected["resourceUri"])
else:
self.assertEqual(found.udf_type, "inlineCode")
self.assertEqual(found.value, expected["inlineCode"])
def _verifyQueryParameters(self, job, config):
query_parameters = config.get("queryParameters", ())
self.assertEqual(len(job.query_parameters), len(query_parameters))
for found, expected in zip(job.query_parameters, query_parameters):
self.assertEqual(found.to_api_repr(), expected)
def _verify_table_definitions(self, job, config):
table_defs = config.get("tableDefinitions")
if job.table_definitions is None:
self.assertIsNone(table_defs)
else:
self.assertEqual(len(job.table_definitions), len(table_defs))
for found_key, found_ec in job.table_definitions.items():
expected_ec = table_defs.get(found_key)
self.assertIsNotNone(expected_ec)
self.assertEqual(found_ec.to_api_repr(), expected_ec)
def _verify_dml_stats_resource_properties(self, job, resource):
query_stats = resource.get("statistics", {}).get("query", {})
if "dmlStats" in query_stats:
resource_dml_stats = query_stats["dmlStats"]
job_dml_stats = job.dml_stats
assert str(job_dml_stats.inserted_row_count) == resource_dml_stats.get(
"insertedRowCount", "0"
)
assert str(job_dml_stats.updated_row_count) == resource_dml_stats.get(
"updatedRowCount", "0"
)
assert str(job_dml_stats.deleted_row_count) == resource_dml_stats.get(
"deletedRowCount", "0"
)
else:
assert job.dml_stats is None
def _verify_transaction_info_resource_properties(self, job, resource):
resource_stats = resource.get("statistics", {})
if "transactionInfo" in resource_stats:
resource_transaction_info = resource_stats["transactionInfo"]
job_transaction_info = job.transaction_info
assert job_transaction_info.transaction_id == resource_transaction_info.get(
"transactionId"
)
else:
assert job.transaction_info is None
def _verify_configuration_properties(self, job, configuration):
if "dryRun" in configuration:
self.assertEqual(job.dry_run, configuration["dryRun"])
else:
self.assertIsNone(job.dry_run)
def _verifyResourceProperties(self, job, resource):
self._verifyReadonlyResourceProperties(job, resource)
self._verify_dml_stats_resource_properties(job, resource)
self._verify_transaction_info_resource_properties(job, resource)
configuration = resource.get("configuration", {})
self._verify_configuration_properties(job, configuration)
query_config = resource.get("configuration", {}).get("query")
self._verifyBooleanResourceProperties(job, query_config)
self._verifyIntegerResourceProperties(job, query_config)
self._verify_udf_resources(job, query_config)
self._verifyQueryParameters(job, query_config)
self._verify_table_definitions(job, query_config)
self.assertEqual(job.query, query_config["query"])
if "createDisposition" in query_config:
self.assertEqual(job.create_disposition, query_config["createDisposition"])
else:
self.assertIsNone(job.create_disposition)
if "defaultDataset" in query_config:
ds_ref = job.default_dataset
ds_ref = {"projectId": ds_ref.project, "datasetId": ds_ref.dataset_id}
self.assertEqual(ds_ref, query_config["defaultDataset"])
else:
self.assertIsNone(job.default_dataset)
if "destinationTable" in query_config:
table = job.destination
tb_ref = {
"projectId": table.project,
"datasetId": table.dataset_id,
"tableId": table.table_id,
}
self.assertEqual(tb_ref, query_config["destinationTable"])
else:
self.assertIsNone(job.destination)
if "priority" in query_config:
self.assertEqual(job.priority, query_config["priority"])
else:
self.assertIsNone(job.priority)
if "writeDisposition" in query_config:
self.assertEqual(job.write_disposition, query_config["writeDisposition"])
else:
self.assertIsNone(job.write_disposition)
if "destinationEncryptionConfiguration" in query_config:
self.assertIsNotNone(job.destination_encryption_configuration)
self.assertEqual(
job.destination_encryption_configuration.kms_key_name,
query_config["destinationEncryptionConfiguration"]["kmsKeyName"],
)
else:
self.assertIsNone(job.destination_encryption_configuration)
if "schemaUpdateOptions" in query_config:
self.assertEqual(
job.schema_update_options, query_config["schemaUpdateOptions"]
)
else:
self.assertIsNone(job.schema_update_options)
def test_ctor_defaults(self):
client = _make_client(project=self.PROJECT)
job = self._make_one(self.JOB_ID, self.QUERY, client)
self.assertEqual(job.query, self.QUERY)
self.assertIs(job._client, client)
self.assertEqual(job.job_type, self.JOB_TYPE)
self.assertEqual(job.path, "/projects/%s/jobs/%s" % (self.PROJECT, self.JOB_ID))
self._verifyInitialReadonlyProperties(job)
self.assertFalse(job.use_legacy_sql)
# set/read from resource['configuration']['query']
self.assertIsNone(job.allow_large_results)
self.assertIsNone(job.create_disposition)
self.assertIsNone(job.default_dataset)
self.assertIsNone(job.destination)
self.assertIsNone(job.dml_stats)
self.assertIsNone(job.flatten_results)
self.assertIsNone(job.priority)
self.assertIsNone(job.use_query_cache)
self.assertIsNone(job.dry_run)
self.assertIsNone(job.write_disposition)
self.assertIsNone(job.maximum_billing_tier)
self.assertIsNone(job.maximum_bytes_billed)
self.assertIsNone(job.table_definitions)
self.assertIsNone(job.destination_encryption_configuration)
self.assertIsNone(job.range_partitioning)
self.assertIsNone(job.time_partitioning)
self.assertIsNone(job.clustering_fields)
self.assertIsNone(job.schema_update_options)
def test_ctor_w_udf_resources(self):
from google.cloud.bigquery.job import QueryJobConfig
from google.cloud.bigquery.query import UDFResource
RESOURCE_URI = "gs://some-bucket/js/lib.js"
udf_resources = [UDFResource("resourceUri", RESOURCE_URI)]
client = _make_client(project=self.PROJECT)
config = QueryJobConfig()
config.udf_resources = udf_resources
job = self._make_one(self.JOB_ID, self.QUERY, client, job_config=config)
self.assertEqual(job.udf_resources, udf_resources)
def test_ctor_w_query_parameters(self):
from google.cloud.bigquery.job import QueryJobConfig
from google.cloud.bigquery.query import ScalarQueryParameter
query_parameters = [ScalarQueryParameter("foo", "INT64", 123)]
client = _make_client(project=self.PROJECT)
config = QueryJobConfig(query_parameters=query_parameters)
job = self._make_one(self.JOB_ID, self.QUERY, client, job_config=config)
self.assertEqual(job.query_parameters, query_parameters)
def test_from_api_repr_bare(self):
self._setUpConstants()
client = _make_client(project=self.PROJECT)
RESOURCE = {
"id": self.JOB_ID,
"jobReference": {"projectId": self.PROJECT, "jobId": self.JOB_ID},
"configuration": {"query": {"query": self.QUERY}},
}
klass = self._get_target_class()
job = klass.from_api_repr(RESOURCE, client=client)
self.assertIs(job._client, client)
self._verifyResourceProperties(job, RESOURCE)
def test_from_api_repr_with_encryption(self):
self._setUpConstants()
client = _make_client(project=self.PROJECT)
RESOURCE = {
"id": self.JOB_ID,
"jobReference": {"projectId": self.PROJECT, "jobId": self.JOB_ID},
"configuration": {
"query": {
"query": self.QUERY,
"destinationEncryptionConfiguration": {
"kmsKeyName": self.KMS_KEY_NAME
},
}
},
}
klass = self._get_target_class()
job = klass.from_api_repr(RESOURCE, client=client)
self.assertIs(job._client, client)
self._verifyResourceProperties(job, RESOURCE)
def test_from_api_repr_with_dml_stats(self):
self._setUpConstants()
client = _make_client(project=self.PROJECT)
RESOURCE = {
"id": self.JOB_ID,
"jobReference": {"projectId": self.PROJECT, "jobId": self.JOB_ID},
"configuration": {"query": {"query": self.QUERY}},
"statistics": {
"query": {
"dmlStats": {"insertedRowCount": "15", "updatedRowCount": "2"},
},
},
}
klass = self._get_target_class()
job = klass.from_api_repr(RESOURCE, client=client)
self.assertIs(job._client, client)
self._verifyResourceProperties(job, RESOURCE)
def test_from_api_repr_with_transaction_info(self):
self._setUpConstants()
client = _make_client(project=self.PROJECT)
RESOURCE = {
"id": self.JOB_ID,
"jobReference": {"projectId": self.PROJECT, "jobId": self.JOB_ID},
"configuration": {"query": {"query": self.QUERY}},
"statistics": {"transactionInfo": {"transactionId": "1a2b-3c4d"}},
}
klass = self._get_target_class()
job = klass.from_api_repr(RESOURCE, client=client)
self.assertIs(job._client, client)
self._verifyResourceProperties(job, RESOURCE)
def test_from_api_repr_w_properties(self):
from google.cloud.bigquery.job import CreateDisposition
from google.cloud.bigquery.job import SchemaUpdateOption
from google.cloud.bigquery.job import WriteDisposition
client = _make_client(project=self.PROJECT)
RESOURCE = self._make_resource()
query_config = RESOURCE["configuration"]["query"]
query_config["createDisposition"] = CreateDisposition.CREATE_IF_NEEDED
query_config["writeDisposition"] = WriteDisposition.WRITE_TRUNCATE
query_config["destinationTable"] = {
"projectId": self.PROJECT,
"datasetId": self.DS_ID,
"tableId": self.DESTINATION_TABLE,
}
query_config["schemaUpdateOptions"] = [SchemaUpdateOption.ALLOW_FIELD_ADDITION]
klass = self._get_target_class()
job = klass.from_api_repr(RESOURCE, client=client)
self.assertIs(job._client, client)
self._verifyResourceProperties(job, RESOURCE)
def test_cancelled(self):
client = _make_client(project=self.PROJECT)
job = self._make_one(self.JOB_ID, self.QUERY, client)
job._properties["status"] = {
"state": "DONE",
"errorResult": {"reason": "stopped"},
}
self.assertTrue(job.cancelled())
def test__done_or_raise_w_timeout(self):
client = _make_client(project=self.PROJECT)
resource = self._make_resource(ended=False)
job = self._get_target_class().from_api_repr(resource, client)
with mock.patch.object(
client, "_get_query_results"
) as fake_get_results, mock.patch.object(job, "reload") as fake_reload:
job._done_or_raise(timeout=42)
fake_get_results.assert_called_once()
call_args = fake_get_results.call_args
self.assertEqual(call_args.kwargs.get("timeout"), 42)
call_args = fake_reload.call_args
self.assertEqual(call_args.kwargs.get("timeout"), 42)
def test__done_or_raise_w_timeout_and_longer_internal_api_timeout(self):
client = _make_client(project=self.PROJECT)
resource = self._make_resource(ended=False)
job = self._get_target_class().from_api_repr(resource, client)
job._done_timeout = 8.8
with mock.patch.object(
client, "_get_query_results"
) as fake_get_results, mock.patch.object(job, "reload") as fake_reload:
job._done_or_raise(timeout=5.5)
# The expected timeout used is simply the given timeout, as the latter
# is shorter than the job's internal done timeout.
expected_timeout = 5.5
fake_get_results.assert_called_once()
call_args = fake_get_results.call_args
self.assertAlmostEqual(call_args.kwargs.get("timeout"), expected_timeout)
call_args = fake_reload.call_args
self.assertAlmostEqual(call_args.kwargs.get("timeout"), expected_timeout)
def test__done_or_raise_w_query_results_error_reload_ok(self):
client = _make_client(project=self.PROJECT)
bad_request_error = exceptions.BadRequest("Error in query")
client._get_query_results = mock.Mock(side_effect=bad_request_error)
resource = self._make_resource(ended=False)
job = self._get_target_class().from_api_repr(resource, client)
job._exception = None
def fake_reload(self, *args, **kwargs):
self._properties["status"]["state"] = "DONE"
self.set_exception(copy.copy(bad_request_error))
fake_reload_method = types.MethodType(fake_reload, job)
with mock.patch.object(job, "reload", new=fake_reload_method):
job._done_or_raise()
assert isinstance(job._exception, exceptions.BadRequest)
def test__done_or_raise_w_query_results_error_reload_error(self):
client = _make_client(project=self.PROJECT)
bad_request_error = exceptions.BadRequest("Error in query")
client._get_query_results = mock.Mock(side_effect=bad_request_error)
resource = self._make_resource(ended=False)
job = self._get_target_class().from_api_repr(resource, client)
reload_error = exceptions.DataLoss("Oops, sorry!")
job.reload = mock.Mock(side_effect=reload_error)
job._exception = None
job._done_or_raise()
assert job._exception is bad_request_error
def test__done_or_raise_w_job_query_results_ok_reload_error(self):
client = _make_client(project=self.PROJECT)
query_results = google.cloud.bigquery.query._QueryResults(
properties={
"jobComplete": True,
"jobReference": {"projectId": self.PROJECT, "jobId": "12345"},
}
)
client._get_query_results = mock.Mock(return_value=query_results)
resource = self._make_resource(ended=False)
job = self._get_target_class().from_api_repr(resource, client)
retry_error = exceptions.RetryError("Too many retries", cause=TimeoutError)
job.reload = mock.Mock(side_effect=retry_error)
job._exception = None
job._done_or_raise()
assert job._exception is retry_error
def test_query_plan(self):
from google.cloud._helpers import _RFC3339_MICROS
from google.cloud.bigquery.job import QueryPlanEntry
from google.cloud.bigquery.job import QueryPlanEntryStep
plan_entries = [
{
"name": "NAME",
"id": "1234",
"inputStages": ["88", "101"],
"startMs": "1522540800000",
"endMs": "1522540804000",
"parallelInputs": "1000",
"completedParallelInputs": "5",
"waitMsAvg": "33",
"waitMsMax": "400",
"waitRatioAvg": 2.71828,
"waitRatioMax": 3.14159,
"readMsAvg": "45",
"readMsMax": "90",
"readRatioAvg": 1.41421,
"readRatioMax": 1.73205,
"computeMsAvg": "55",
"computeMsMax": "99",
"computeRatioAvg": 0.69315,
"computeRatioMax": 1.09861,
"writeMsAvg": "203",
"writeMsMax": "340",
"writeRatioAvg": 3.32193,
"writeRatioMax": 2.30258,
"recordsRead": "100",
"recordsWritten": "1",
"status": "STATUS",
"shuffleOutputBytes": "1024",
"shuffleOutputBytesSpilled": "1",
"steps": [{"kind": "KIND", "substeps": ["SUBSTEP1", "SUBSTEP2"]}],
}
]
client = _make_client(project=self.PROJECT)
job = self._make_one(self.JOB_ID, self.QUERY, client)
self.assertEqual(job.query_plan, [])
statistics = job._properties["statistics"] = {}
self.assertEqual(job.query_plan, [])
query_stats = statistics["query"] = {}
self.assertEqual(job.query_plan, [])
query_stats["queryPlan"] = plan_entries
self.assertEqual(len(job.query_plan), len(plan_entries))
for found, expected in zip(job.query_plan, plan_entries):
self.assertIsInstance(found, QueryPlanEntry)
self.assertEqual(found.name, expected["name"])
self.assertEqual(found.entry_id, expected["id"])
self.assertEqual(len(found.input_stages), len(expected["inputStages"]))
for f_id in found.input_stages:
self.assertIn(f_id, [int(e) for e in expected["inputStages"]])
self.assertEqual(
found.start.strftime(_RFC3339_MICROS), "2018-04-01T00:00:00.000000Z"
)
self.assertEqual(
found.end.strftime(_RFC3339_MICROS), "2018-04-01T00:00:04.000000Z"
)
self.assertEqual(found.parallel_inputs, int(expected["parallelInputs"]))
self.assertEqual(
found.completed_parallel_inputs,
int(expected["completedParallelInputs"]),
)
self.assertEqual(found.wait_ms_avg, int(expected["waitMsAvg"]))
self.assertEqual(found.wait_ms_max, int(expected["waitMsMax"]))
self.assertEqual(found.wait_ratio_avg, expected["waitRatioAvg"])
self.assertEqual(found.wait_ratio_max, expected["waitRatioMax"])
self.assertEqual(found.read_ms_avg, int(expected["readMsAvg"]))
self.assertEqual(found.read_ms_max, int(expected["readMsMax"]))
self.assertEqual(found.read_ratio_avg, expected["readRatioAvg"])
self.assertEqual(found.read_ratio_max, expected["readRatioMax"])
self.assertEqual(found.compute_ms_avg, int(expected["computeMsAvg"]))
self.assertEqual(found.compute_ms_max, int(expected["computeMsMax"]))
self.assertEqual(found.compute_ratio_avg, expected["computeRatioAvg"])
self.assertEqual(found.compute_ratio_max, expected["computeRatioMax"])
self.assertEqual(found.write_ms_avg, int(expected["writeMsAvg"]))
self.assertEqual(found.write_ms_max, int(expected["writeMsMax"]))
self.assertEqual(found.write_ratio_avg, expected["writeRatioAvg"])
self.assertEqual(found.write_ratio_max, expected["writeRatioMax"])
self.assertEqual(found.records_read, int(expected["recordsRead"]))
self.assertEqual(found.records_written, int(expected["recordsWritten"]))
self.assertEqual(found.status, expected["status"])
self.assertEqual(
found.shuffle_output_bytes, int(expected["shuffleOutputBytes"])
)
self.assertEqual(
found.shuffle_output_bytes_spilled,
int(expected["shuffleOutputBytesSpilled"]),
)
self.assertEqual(len(found.steps), len(expected["steps"]))
for f_step, e_step in zip(found.steps, expected["steps"]):
self.assertIsInstance(f_step, QueryPlanEntryStep)
self.assertEqual(f_step.kind, e_step["kind"])
self.assertEqual(f_step.substeps, e_step["substeps"])
def test_total_bytes_processed(self):
total_bytes = 1234
client = _make_client(project=self.PROJECT)
job = self._make_one(self.JOB_ID, self.QUERY, client)
self.assertIsNone(job.total_bytes_processed)
statistics = job._properties["statistics"] = {}
self.assertIsNone(job.total_bytes_processed)
query_stats = statistics["query"] = {}
self.assertIsNone(job.total_bytes_processed)
query_stats["totalBytesProcessed"] = str(total_bytes)
self.assertEqual(job.total_bytes_processed, total_bytes)
def test_total_bytes_billed(self):
total_bytes = 1234
client = _make_client(project=self.PROJECT)
job = self._make_one(self.JOB_ID, self.QUERY, client)
self.assertIsNone(job.total_bytes_billed)
statistics = job._properties["statistics"] = {}
self.assertIsNone(job.total_bytes_billed)
query_stats = statistics["query"] = {}
self.assertIsNone(job.total_bytes_billed)
query_stats["totalBytesBilled"] = str(total_bytes)
self.assertEqual(job.total_bytes_billed, total_bytes)
def test_billing_tier(self):
billing_tier = 1
client = _make_client(project=self.PROJECT)
job = self._make_one(self.JOB_ID, self.QUERY, client)
self.assertIsNone(job.billing_tier)
statistics = job._properties["statistics"] = {}
self.assertIsNone(job.billing_tier)
query_stats = statistics["query"] = {}
self.assertIsNone(job.billing_tier)
query_stats["billingTier"] = billing_tier
self.assertEqual(job.billing_tier, billing_tier)
def test_cache_hit(self):
client = _make_client(project=self.PROJECT)
job = self._make_one(self.JOB_ID, self.QUERY, client)
self.assertIsNone(job.cache_hit)
statistics = job._properties["statistics"] = {}
self.assertIsNone(job.cache_hit)
query_stats = statistics["query"] = {}
self.assertIsNone(job.cache_hit)
query_stats["cacheHit"] = True
self.assertTrue(job.cache_hit)
def test_ddl_operation_performed(self):
op = "SKIP"
client = _make_client(project=self.PROJECT)
job = self._make_one(self.JOB_ID, self.QUERY, client)
self.assertIsNone(job.ddl_operation_performed)
statistics = job._properties["statistics"] = {}
self.assertIsNone(job.ddl_operation_performed)
query_stats = statistics["query"] = {}
self.assertIsNone(job.ddl_operation_performed)
query_stats["ddlOperationPerformed"] = op
self.assertEqual(job.ddl_operation_performed, op)
def test_ddl_target_routine(self):
from google.cloud.bigquery.routine import RoutineReference
ref_routine = {
"projectId": self.PROJECT,
"datasetId": "ddl_ds",
"routineId": "targetroutine",
}
client = _make_client(project=self.PROJECT)
job = self._make_one(self.JOB_ID, self.QUERY, client)
self.assertIsNone(job.ddl_target_routine)
statistics = job._properties["statistics"] = {}
self.assertIsNone(job.ddl_target_routine)
query_stats = statistics["query"] = {}
self.assertIsNone(job.ddl_target_routine)
query_stats["ddlTargetRoutine"] = ref_routine
self.assertIsInstance(job.ddl_target_routine, RoutineReference)
self.assertEqual(job.ddl_target_routine.routine_id, "targetroutine")
self.assertEqual(job.ddl_target_routine.dataset_id, "ddl_ds")
self.assertEqual(job.ddl_target_routine.project, self.PROJECT)
def test_ddl_target_table(self):
from google.cloud.bigquery.table import TableReference
ref_table = {
"projectId": self.PROJECT,
"datasetId": "ddl_ds",
"tableId": "targettable",
}
client = _make_client(project=self.PROJECT)
job = self._make_one(self.JOB_ID, self.QUERY, client)
self.assertIsNone(job.ddl_target_table)
statistics = job._properties["statistics"] = {}
self.assertIsNone(job.ddl_target_table)
query_stats = statistics["query"] = {}
self.assertIsNone(job.ddl_target_table)
query_stats["ddlTargetTable"] = ref_table
self.assertIsInstance(job.ddl_target_table, TableReference)
self.assertEqual(job.ddl_target_table.table_id, "targettable")
self.assertEqual(job.ddl_target_table.dataset_id, "ddl_ds")
self.assertEqual(job.ddl_target_table.project, self.PROJECT)
def test_num_dml_affected_rows(self):
num_rows = 1234
client = _make_client(project=self.PROJECT)
job = self._make_one(self.JOB_ID, self.QUERY, client)
self.assertIsNone(job.num_dml_affected_rows)
statistics = job._properties["statistics"] = {}
self.assertIsNone(job.num_dml_affected_rows)
query_stats = statistics["query"] = {}
self.assertIsNone(job.num_dml_affected_rows)
query_stats["numDmlAffectedRows"] = str(num_rows)
self.assertEqual(job.num_dml_affected_rows, num_rows)
def test_slot_millis(self):
millis = 1234
client = _make_client(project=self.PROJECT)
job = self._make_one(self.JOB_ID, self.QUERY, client)
self.assertIsNone(job.slot_millis)
statistics = job._properties["statistics"] = {}
self.assertIsNone(job.slot_millis)
query_stats = statistics["query"] = {}
self.assertIsNone(job.slot_millis)
query_stats["totalSlotMs"] = millis
self.assertEqual(job.slot_millis, millis)
def test_statement_type(self):
statement_type = "SELECT"
client = _make_client(project=self.PROJECT)
job = self._make_one(self.JOB_ID, self.QUERY, client)
self.assertIsNone(job.statement_type)
statistics = job._properties["statistics"] = {}
self.assertIsNone(job.statement_type)
query_stats = statistics["query"] = {}
self.assertIsNone(job.statement_type)
query_stats["statementType"] = statement_type
self.assertEqual(job.statement_type, statement_type)
def test_referenced_tables(self):
from google.cloud.bigquery.table import TableReference
ref_tables_resource = [
{"projectId": self.PROJECT, "datasetId": "dataset", "tableId": "local1"},
{"projectId": self.PROJECT, "datasetId": "dataset", "tableId": "local2"},
{
"projectId": "other-project-123",
"datasetId": "other-dataset",
"tableId": "other-table",
},
]
client = _make_client(project=self.PROJECT)
job = self._make_one(self.JOB_ID, self.QUERY, client)
self.assertEqual(job.referenced_tables, [])
statistics = job._properties["statistics"] = {}
self.assertEqual(job.referenced_tables, [])
query_stats = statistics["query"] = {}
self.assertEqual(job.referenced_tables, [])
query_stats["referencedTables"] = ref_tables_resource
local1, local2, remote = job.referenced_tables
self.assertIsInstance(local1, TableReference)
self.assertEqual(local1.table_id, "local1")
self.assertEqual(local1.dataset_id, "dataset")
self.assertEqual(local1.project, self.PROJECT)
self.assertIsInstance(local2, TableReference)
self.assertEqual(local2.table_id, "local2")
self.assertEqual(local2.dataset_id, "dataset")
self.assertEqual(local2.project, self.PROJECT)
self.assertIsInstance(remote, TableReference)
self.assertEqual(remote.table_id, "other-table")
self.assertEqual(remote.dataset_id, "other-dataset")
self.assertEqual(remote.project, "other-project-123")
def test_timeline(self):
timeline_resource = [
{
"elapsedMs": 1,
"activeUnits": 22,
"pendingUnits": 33,
"completedUnits": 44,
"totalSlotMs": 101,
}
]
client = _make_client(project=self.PROJECT)
job = self._make_one(self.JOB_ID, self.QUERY, client)
self.assertEqual(job.timeline, [])
statistics = job._properties["statistics"] = {}
self.assertEqual(job.timeline, [])
query_stats = statistics["query"] = {}
self.assertEqual(job.timeline, [])
query_stats["timeline"] = timeline_resource
self.assertEqual(len(job.timeline), len(timeline_resource))
self.assertEqual(job.timeline[0].elapsed_ms, 1)
self.assertEqual(job.timeline[0].active_units, 22)
self.assertEqual(job.timeline[0].pending_units, 33)
self.assertEqual(job.timeline[0].completed_units, 44)
self.assertEqual(job.timeline[0].slot_millis, 101)
def test_undeclared_query_parameters(self):
from google.cloud.bigquery.query import ArrayQueryParameter
from google.cloud.bigquery.query import ScalarQueryParameter
from google.cloud.bigquery.query import StructQueryParameter
undeclared = [
{
"name": "my_scalar",
"parameterType": {"type": "STRING"},
"parameterValue": {"value": "value"},
},
{
"name": "my_array",
"parameterType": {"type": "ARRAY", "arrayType": {"type": "INT64"}},
"parameterValue": {
"arrayValues": [{"value": "1066"}, {"value": "1745"}]
},
},
{
"name": "my_struct",
"parameterType": {
"type": "STRUCT",
"structTypes": [{"name": "count", "type": {"type": "INT64"}}],
},
"parameterValue": {"structValues": {"count": {"value": "123"}}},
},
]
client = _make_client(project=self.PROJECT)
job = self._make_one(self.JOB_ID, self.QUERY, client)
self.assertEqual(job.undeclared_query_parameters, [])
statistics = job._properties["statistics"] = {}
self.assertEqual(job.undeclared_query_parameters, [])
query_stats = statistics["query"] = {}
self.assertEqual(job.undeclared_query_parameters, [])
query_stats["undeclaredQueryParameters"] = undeclared
scalar, array, struct = job.undeclared_query_parameters
self.assertIsInstance(scalar, ScalarQueryParameter)
self.assertEqual(scalar.name, "my_scalar")
self.assertEqual(scalar.type_, "STRING")
self.assertEqual(scalar.value, "value")
self.assertIsInstance(array, ArrayQueryParameter)
self.assertEqual(array.name, "my_array")
self.assertEqual(array.array_type, "INT64")
self.assertEqual(array.values, [1066, 1745])
self.assertIsInstance(struct, StructQueryParameter)
self.assertEqual(struct.name, "my_struct")
self.assertEqual(struct.struct_types, {"count": "INT64"})
self.assertEqual(struct.struct_values, {"count": 123})
def test_estimated_bytes_processed(self):
est_bytes = 123456
client = _make_client(project=self.PROJECT)
job = self._make_one(self.JOB_ID, self.QUERY, client)
self.assertIsNone(job.estimated_bytes_processed)
statistics = job._properties["statistics"] = {}
self.assertIsNone(job.estimated_bytes_processed)
query_stats = statistics["query"] = {}
self.assertIsNone(job.estimated_bytes_processed)
query_stats["estimatedBytesProcessed"] = str(est_bytes)
self.assertEqual(job.estimated_bytes_processed, est_bytes)
def test_dml_stats(self):
from google.cloud.bigquery.job.query import DmlStats
client = _make_client(project=self.PROJECT)
job = self._make_one(self.JOB_ID, self.QUERY, client)
assert job.dml_stats is None
statistics = job._properties["statistics"] = {}
assert job.dml_stats is None
query_stats = statistics["query"] = {}
assert job.dml_stats is None
query_stats["dmlStats"] = {"insertedRowCount": "35"}
assert isinstance(job.dml_stats, DmlStats)
assert job.dml_stats.inserted_row_count == 35
def test_result(self):
from google.cloud.bigquery.table import RowIterator
query_resource = {
"jobComplete": False,
"jobReference": {
"projectId": self.PROJECT,
"jobId": self.JOB_ID,
"location": "EU",
},
}
query_resource_done = {
"jobComplete": True,
"jobReference": {
"projectId": self.PROJECT,
"jobId": self.JOB_ID,
"location": "EU",
},
"schema": {"fields": [{"name": "col1", "type": "STRING"}]},
"totalRows": "2",
}
job_resource = self._make_resource(started=True, location="EU")
job_resource_done = self._make_resource(started=True, ended=True, location="EU")
job_resource_done["configuration"]["query"]["destinationTable"] = {
"projectId": "dest-project",
"datasetId": "dest_dataset",
"tableId": "dest_table",
}
query_page_resource = {
# Explicitly set totalRows to be different from the initial
# response to test update during iteration.
"totalRows": "1",
"pageToken": None,
"rows": [{"f": [{"v": "abc"}]}],
}
conn = make_connection(
query_resource, query_resource_done, job_resource_done, query_page_resource
)
client = _make_client(self.PROJECT, connection=conn)
job = self._get_target_class().from_api_repr(job_resource, client)
result = job.result()
self.assertIsInstance(result, RowIterator)
self.assertEqual(result.total_rows, 2)
rows = list(result)
self.assertEqual(len(rows), 1)
self.assertEqual(rows[0].col1, "abc")
# Test that the total_rows property has changed during iteration, based
# on the response from tabledata.list.
self.assertEqual(result.total_rows, 1)
query_results_path = f"/projects/{self.PROJECT}/queries/{self.JOB_ID}"
query_results_call = mock.call(
method="GET",
path=query_results_path,
query_params={"maxResults": 0, "location": "EU"},
timeout=None,
)
reload_call = mock.call(
method="GET",
path=f"/projects/{self.PROJECT}/jobs/{self.JOB_ID}",
query_params={"location": "EU"},
timeout=None,
)
query_page_call = mock.call(
method="GET",
path=query_results_path,
query_params={
"fields": _LIST_ROWS_FROM_QUERY_RESULTS_FIELDS,
"location": "EU",
"formatOptions.useInt64Timestamp": True,
},
timeout=None,
)
conn.api_request.assert_has_calls(
[query_results_call, query_results_call, reload_call, query_page_call]
)
def test_result_dry_run(self):
job_resource = self._make_resource(started=True, location="EU")
job_resource["configuration"]["dryRun"] = True
conn = make_connection()
client = _make_client(self.PROJECT, connection=conn)
job = self._get_target_class().from_api_repr(job_resource, client)
result = job.result()
calls = conn.api_request.mock_calls
self.assertIsInstance(result, _EmptyRowIterator)
self.assertEqual(calls, [])
def test_result_with_done_job_calls_get_query_results(self):
query_resource_done = {
"jobComplete": True,
"jobReference": {"projectId": self.PROJECT, "jobId": self.JOB_ID},
"schema": {"fields": [{"name": "col1", "type": "STRING"}]},
"totalRows": "1",
}
job_resource = self._make_resource(started=True, ended=True, location="EU")
job_resource["configuration"]["query"]["destinationTable"] = {
"projectId": "dest-project",
"datasetId": "dest_dataset",
"tableId": "dest_table",
}
results_page_resource = {