def test_analytics_synonym_events(self):
dataset_obj = self.cbas_util.create_dataset_obj(
self.cluster, self.bucket_util, dataset_cardinality=3,
bucket_cardinality=3, enabled_from_KV=False,
no_of_objs=1)[0]
if not self.cbas_util.create_dataset(
self.cluster, dataset_obj.name,
dataset_obj.full_kv_entity_name,
dataverse_name=dataset_obj.dataverse_name,
analytics_collection=random.choice(["True", "False"])):
self.fail("Error while creating analytics collection")
syn_name_1 = CBASHelper.format_name(
self.cbas_util.generate_name(name_cardinality=1))
if not self.cbas_util.create_analytics_synonym(
self.cluster, CBASHelper.format_name(
dataset_obj.dataverse_name, syn_name_1), dataset_obj.full_name):
self.fail("Error while creating Synonym")
self.log.info("Adding event for synonym_created event")
self.system_events.add_event(AnalyticsEvents.synonym_created(
self.cluster.cbas_cc_node.ip,
CBASHelper.metadata_format(dataset_obj.dataverse_name),
CBASHelper.metadata_format(syn_name_1),
CBASHelper.metadata_format(dataset_obj.dataverse_name),
CBASHelper.metadata_format(dataset_obj.name)))
syn_name_2 = CBASHelper.format_name(
self.cbas_util.generate_name(name_cardinality=1))
self.log.info("Creating dangling Synonym")
if not self.cbas_util.create_analytics_synonym(
self.cluster, CBASHelper.format_name(
dataset_obj.dataverse_name, syn_name_2), "dangling"):
self.fail("Error while creating Synonym")
self.log.info("Adding event for synonym_created event for dangling "
"synonym")
self.system_events.add_event(AnalyticsEvents.synonym_created(
self.cluster.cbas_cc_node.ip,
CBASHelper.metadata_format(dataset_obj.dataverse_name),
CBASHelper.metadata_format(syn_name_2),
CBASHelper.metadata_format(dataset_obj.dataverse_name),
CBASHelper.metadata_format("dangling")))
for syn_name in [syn_name_1, syn_name_2]:
if not self.cbas_util.drop_analytics_synonym(
self.cluster, CBASHelper.format_name(
dataset_obj.dataverse_name, syn_name)):
self.fail("Error while dropping synonym")
self.log.info("Adding event for synonym_dropped events")
self.system_events.add_event(AnalyticsEvents.synonym_dropped(
self.cluster.cbas_cc_node.ip,
CBASHelper.metadata_format(dataset_obj.dataverse_name),
CBASHelper.metadata_format(syn_name)))
def test_create_dataset_with_udf_in_where_clause(self):
self.log.info("Test started")
self.setup_for_test()
self.log.debug("Setup for test completed")
udf_obj = self.create_udf_object(2, "expression", "same", True)
self.log.debug("Udf objects created")
if not self.cbas_util.create_udf(
self.cluster, name=udf_obj.name, dataverse=udf_obj.dataverse_name,
or_replace=False, parameters=udf_obj.parameters, body=udf_obj.body,
if_not_exists=False, query_context=False, use_statement=False,
validate_error_msg=False, expected_error=None,
timeout=300, analytics_timeout=300):
self.fail("Error while creating Analytics UDF")
if not self.cbas_util.create_dataset(
self.cluster, dataset_name=CBASHelper.format_name(
self.cbas_util.generate_name()),
kv_entity=(self.cbas_util.list_all_dataset_objs()[0]).full_kv_entity_name,
dataverse_name=udf_obj.dataverse_name,
where_clause="age > {0}({1})".format(
udf_obj.full_name, ",".join(udf_obj.parameters)),
validate_error_msg=True,
expected_error="Illegal use of user-defined function {0}".format(
CBASHelper.unformat_name(CBASHelper.metadata_format(
udf_obj.dataverse_name), udf_obj.name)),
timeout=300, analytics_timeout=300, analytics_collection=False):
self.fail("Dataset creation was successfull while using user "
"defined function in where clause of the DDL")
self.log.info("Test Finished")
def test_analytics_collection_attach_dettach_events(self):
dataset_obj = self.cbas_util.create_dataset_obj(
self.cluster, self.bucket_util, dataset_cardinality=3,
bucket_cardinality=3, enabled_from_KV=False,
no_of_objs=1, exclude_collection=["_default"])[0]
if not self.cbas_util.create_dataset(
self.cluster, dataset_obj.name,
dataset_obj.full_kv_entity_name,
dataverse_name=dataset_obj.dataverse_name,
analytics_collection=random.choice(["True", "False"])):
self.fail("Error while creating analytics collection")
self.log.info("Dropping collection {0}".format(
dataset_obj.full_kv_entity_name))
self.bucket_util.drop_collection(
self.cluster.master, dataset_obj.kv_bucket,
scope_name=dataset_obj.kv_scope.name,
collection_name=dataset_obj.kv_collection.name, session=None)
if not self.cbas_util.wait_for_ingestion_complete(
self.cluster, dataset_obj.full_name, 0, timeout=300):
self.fail("Data is present in the dataset when it should not")
self.log.info("Adding event for collection_detach events")
self.system_events.add_event(AnalyticsEvents.collection_detached(
self.cluster.cbas_cc_node.ip,
CBASHelper.metadata_format(dataset_obj.dataverse_name),
CBASHelper.unformat_name(dataset_obj.name)))
self.log.info("Creating collection {0}".format(
dataset_obj.full_kv_entity_name))
self.bucket_util.create_collection(
self.cluster.master, dataset_obj.kv_bucket,
scope_name=dataset_obj.kv_scope.name,
collection_spec=dataset_obj.kv_collection.get_dict_object(),
session=None)
if not self.cbas_util.wait_for_ingestion_complete(
self.cluster, dataset_obj.full_name, 0, timeout=300):
self.fail("Data ingestion failed.")
self.sleep(3, "Waiting for event to be generated")
self.log.info("Adding event for collection_attach events")
self.system_events.add_event(AnalyticsEvents.collection_attached(
self.cluster.cbas_cc_node.ip,
CBASHelper.metadata_format(dataset_obj.dataverse_name),
CBASHelper.unformat_name(dataset_obj.name)))
def test_analytics_collection_events(self):
dataset_objs = self.cbas_util.create_dataset_obj(
self.cluster, self.bucket_util, dataset_cardinality=3,
bucket_cardinality=3, enabled_from_KV=False,
no_of_objs=1)
dataset_objs += self.cbas_util.create_dataset_obj(
self.cluster, self.bucket_util, dataset_cardinality=3,
bucket_cardinality=3, enabled_from_KV=True,
no_of_objs=1)
for dataset in dataset_objs:
if dataset.enabled_from_KV:
if not self.cbas_util.enable_analytics_from_KV(
self.cluster, dataset.full_kv_entity_name):
self.fail("Error while mapping KV collection to analytics")
self.system_events.add_event(AnalyticsEvents.collection_mapped(
self.cluster.cbas_cc_node.ip, dataset.kv_bucket.name,
dataset.kv_scope.name, dataset.kv_collection.name))
if not self.cbas_util.disable_analytics_from_KV(
self.cluster, dataset.full_kv_entity_name):
self.fail("Error while unmapping KV collection from "
"analytics")
else:
if not self.cbas_util.create_dataset(
self.cluster, dataset.name, dataset.full_kv_entity_name,
dataverse_name=dataset.dataverse_name,
analytics_collection=random.choice(["True", "False"])):
self.fail("Error while creating analytics collection")
self.system_events.add_event(AnalyticsEvents.collection_created(
self.cluster.cbas_cc_node.ip,
CBASHelper.metadata_format(dataset.dataverse_name),
CBASHelper.metadata_format(dataset.name),
CBASHelper.metadata_format(dataset.dataverse_name),
"Local", dataset.kv_bucket.name, dataset.kv_scope.name,
dataset.kv_collection.name))
if not self.cbas_util.drop_dataset(
self.cluster, dataset.full_name,
analytics_collection=random.choice(["True", "False"])):
self.fail("Error while dropping datasets")
self.system_events.add_event(AnalyticsEvents.collection_dropped(
self.cluster.cbas_cc_node.ip,
CBASHelper.metadata_format(dataset.dataverse_name),
CBASHelper.metadata_format(dataset.name)))
def test_analytics_scope_events(self):
dataverse_name = CBASHelper.format_name(
self.cbas_util.generate_name(name_cardinality=2))
if not self.cbas_util.create_dataverse(
self.cluster, dataverse_name,
analytics_scope=random.choice(["True", "False"])):
self.fail("Error while creating dataverse")
self.log.info(
"Adding event for scope_created event")
self.system_events.add_event(AnalyticsEvents.scope_created(
self.cluster.cbas_cc_node.ip, CBASHelper.metadata_format(
dataverse_name)))
if not self.cbas_util.drop_dataverse(
self.cluster, dataverse_name,
analytics_scope=random.choice(["True", "False"])):
self.fail("Error while dropping dataverse")
self.log.info("Adding event for scope_dropped event")
self.system_events.add_event(AnalyticsEvents.scope_dropped(
self.cluster.cbas_cc_node.ip, CBASHelper.metadata_format(
dataverse_name)))
def test_analytics_index_events(self):
dataset_obj = self.cbas_util.create_dataset_obj(
self.cluster, self.bucket_util, dataset_cardinality=3,
bucket_cardinality=3, enabled_from_KV=False,
no_of_objs=1)[0]
if not self.cbas_util.create_dataset(
self.cluster, dataset_obj.name, dataset_obj.full_kv_entity_name,
dataverse_name=dataset_obj.dataverse_name,
analytics_collection=random.choice(["True", "False"])):
self.fail("Error while creating analytics collection")
index_name = CBASHelper.format_name(
self.cbas_util.generate_name(name_cardinality=1))
if not self.cbas_util.create_cbas_index(
self.cluster, index_name, ["age:bigint"], dataset_obj.full_name,
analytics_index=random.choice(["True", "False"])):
self.fail("Error while creating analytics index")
self.log.info("Adding event for index_created events")
self.system_events.add_event(AnalyticsEvents.index_created(
self.cluster.cbas_cc_node.ip,
CBASHelper.metadata_format(dataset_obj.dataverse_name),
CBASHelper.metadata_format(index_name),
CBASHelper.metadata_format(dataset_obj.name)))
if not self.cbas_util.drop_cbas_index(
self.cluster, index_name, dataset_obj.full_name,
analytics_index=random.choice(["True", "False"])):
self.fail("Error while dropping analytics index")
self.log.info("Adding event for index_dropped events")
self.system_events.add_event(AnalyticsEvents.index_dropped(
self.cluster.cbas_cc_node.ip,
CBASHelper.metadata_format(dataset_obj.dataverse_name),
CBASHelper.metadata_format(index_name),
CBASHelper.metadata_format(dataset_obj.name)))
def test_analytics_udf_system_event_logs(self):
self.log.info("Test started")
self.setup_for_test()
udf_types = [(0, "expression", "diff"), (2, "expression", "diff"),
(-1, "expression", "diff"), (0, "dataset", "diff"),
(2, "dataset", "diff"), (-1, "dataset", "diff"),
(0, "synonym", "diff"), (2, "synonym", "diff"),
(-1, "synonym", "diff"), (0, "udf", "diff"),
(2, "udf", "diff"), (-1, "udf", "diff")]
udf_objs = list()
for udf_type in udf_types:
udf_obj = self.create_udf_object(udf_type[0], udf_type[1],
udf_type[2])
if not self.cbas_util.create_udf(self.cluster,
name=udf_obj.name,
dataverse=udf_obj.dataverse_name,
or_replace=False,
parameters=udf_obj.parameters,
body=udf_obj.body,
if_not_exists=False,
query_context=False,
use_statement=False,
validate_error_msg=False,
expected_error=None,
timeout=300,
analytics_timeout=300):
self.fail("Error while creating Analytics UDF")
udf_objs.append(udf_obj)
self.log.info(
"Adding event for user_defined_function_created events")
self.system_events.add_event(
AnalyticsEvents.user_defined_function_created(
self.cluster.cbas_cc_node.ip,
CBASHelper.metadata_format(udf_obj.dataverse_name),
CBASHelper.unformat_name(udf_obj.name), udf_obj.arity))
# Create UDF to test replace
idx = random.choice(range(len(udf_objs)))
udf_type = udf_types[idx]
test_udf_obj = self.create_udf_object(udf_type[0], udf_type[1],
udf_type[2])
test_udf_obj.name = udf_objs[idx].name
test_udf_obj.dataverse_name = udf_objs[idx].dataverse_name
test_udf_obj.parameters = udf_objs[idx].parameters
test_udf_obj.reset_full_name()
if not self.cbas_util.create_udf(self.cluster,
name=test_udf_obj.name,
dataverse=test_udf_obj.dataverse_name,
or_replace=True,
parameters=test_udf_obj.parameters,
body=test_udf_obj.body,
if_not_exists=False,
query_context=False,
use_statement=False,
validate_error_msg=False,
expected_error="",
timeout=300,
analytics_timeout=300):
self.fail("Error while creating Analytics UDF")
self.log.info("Adding event for user_defined_function_replaced events")
self.system_events.add_event(
AnalyticsEvents.user_defined_function_replaced(
self.cluster.cbas_cc_node.ip,
CBASHelper.metadata_format(test_udf_obj.dataverse_name),
CBASHelper.unformat_name(test_udf_obj.name),
test_udf_obj.arity))
self.sleep(
2, "Waiting for user_defined_function_replaced events to "
"be generated")
self.log.info("Adding event for user_defined_function_dropped events")
udf_deleted_successfully = list()
i = 0
while udf_objs:
if (i < len(udf_objs)) and (i not in udf_deleted_successfully):
udf_obj = udf_objs[i]
if self.cbas_util.drop_udf(self.cluster,
name=udf_obj.name,
dataverse=udf_obj.dataverse_name,
parameters=udf_obj.parameters,
if_exists=False,
use_statement=False,
query_context=False,
validate_error_msg=False,
expected_error=None,
timeout=300,
analytics_timeout=300):
udf_deleted_successfully.append(i)
self.system_events.add_event(
AnalyticsEvents.user_defined_function_dropped(
self.cluster.cbas_cc_node.ip,
CBASHelper.metadata_format(udf_obj.dataverse_name),
CBASHelper.unformat_name(udf_obj.name),
udf_obj.arity))
i += 1
elif len(udf_deleted_successfully) == len(udf_objs):
break
elif i >= len(udf_objs):
i = 0
elif i in udf_deleted_successfully:
i += 1
self.log.info("Test Finished")
def test_create_multiple_analytics_udfs(self):
self.log.info("Test started")
self.setup_for_test()
udf_objs = list()
for i in range(0, self.input.param('num_init_udf', 1)):
udf_obj = self.create_udf_object(
self.input.param('num_create_params', 0), "expression", "same",
True)
if not self.cbas_util.create_udf(self.cluster,
name=udf_obj.name,
dataverse=udf_obj.dataverse_name,
or_replace=False,
parameters=udf_obj.parameters,
body=udf_obj.body,
if_not_exists=False,
query_context=False,
use_statement=False,
validate_error_msg=False,
expected_error=None,
timeout=300,
analytics_timeout=300):
self.fail("Error while creating Analytics UDF")
udf_objs.append(udf_obj)
# Create UDF test to test
test_udf_obj = self.create_udf_object(
self.input.param('num_test_udf_params', 0),
self.input.param('body_type', "expression"),
self.input.param('dependent_entity_dv', "same"),
self.input.param('use_full_name', True))
if self.input.param('test_udf_name', "diff") == "same":
test_udf_obj.name = udf_objs[0].name
test_udf_obj.reset_full_name()
if self.input.param('test_udf_dv', "diff") == "same":
test_udf_obj.dataverse_name = udf_objs[0].dataverse_name
test_udf_obj.reset_full_name()
else:
while test_udf_obj.dataverse_name == udf_objs[0].dataverse_name:
test_udf_obj.dataverse_name = random.choice(
self.cbas_util.dataverses.values()).name
if self.input.param('test_udf_param_name', "diff") == "same":
test_udf_obj.parameters = udf_objs[0].parameters
if not self.cbas_util.create_udf(
self.cluster,
name=test_udf_obj.name,
dataverse=test_udf_obj.dataverse_name,
or_replace=self.input.param('or_replace', False),
parameters=test_udf_obj.parameters,
body=test_udf_obj.body,
if_not_exists=self.input.param('if_not_exists', False),
query_context=False,
use_statement=False,
validate_error_msg=self.input.param('validate_error', False),
expected_error=self.input.param('expected_error', "").format(
CBASHelper.unformat_name(
CBASHelper.metadata_format(
test_udf_obj.dataverse_name), test_udf_obj.name)),
timeout=300,
analytics_timeout=300):
self.fail("Error while creating Analytics UDF")
if not self.input.param('validate_error', False):
if self.input.param('if_not_exists', False):
object_to_validate = udf_objs[0]
else:
object_to_validate = test_udf_obj
if not self.cbas_util.validate_udf_in_metadata(
self.cluster,
udf_name=object_to_validate.name,
udf_dataverse_name=object_to_validate.dataverse_name,
parameters=object_to_validate.parameters,
body=object_to_validate.body,
dataset_dependencies=object_to_validate.
dataset_dependencies,
udf_dependencies=object_to_validate.udf_dependencies):
self.fail("Error while validating Function in Metadata")
if self.input.param('num_execute_params', -1) == -1:
num_execute_params = len(test_udf_obj.parameters)
else:
num_execute_params = self.input.param('num_execute_params')
execute_params = [i for i in range(1, num_execute_params + 1)]
if not self.cbas_util.verify_function_execution_result(
self.cluster, test_udf_obj.full_name, execute_params,
sum(execute_params)):
self.fail("Failed while verifying function execution result")
self.log.info("Test Finished")
