class AutoRetryFailedRebalance(RebalanceBaseTest):
def setUp(self):
super(AutoRetryFailedRebalance, self).setUp()
self.rest = RestConnection(self.servers[0])
self.sleep_time = self.input.param("sleep_time", 15)
self.enabled = self.input.param("enabled", True)
self.afterTimePeriod = self.input.param("afterTimePeriod", 300)
self.maxAttempts = self.input.param("maxAttempts", 1)
self.log.info("Changing the retry rebalance settings ....")
self.change_retry_rebalance_settings(
enabled=self.enabled,
afterTimePeriod=self.afterTimePeriod,
maxAttempts=self.maxAttempts)
self.rebalance_operation = self.input.param("rebalance_operation",
"rebalance_out")
self.disable_auto_failover = self.input.param("disable_auto_failover",
True)
self.auto_failover_timeout = self.input.param("auto_failover_timeout",
120)
if self.disable_auto_failover:
self.rest.update_autofailover_settings(False, 120)
else:
self.rest.update_autofailover_settings(True,
self.auto_failover_timeout)
def tearDown(self):
self.reset_retry_rebalance_settings()
# Reset to default value
super(AutoRetryFailedRebalance, self).tearDown()
rest = RestConnection(self.servers[0])
zones = rest.get_zone_names()
for zone in zones:
if zone != "Group 1":
rest.delete_zone(zone)
def test_auto_retry_of_failed_rebalance_where_failure_happens_before_rebalance(
self):
before_rebalance_failure = self.input.param("before_rebalance_failure",
"stop_server")
# induce the failure before the rebalance starts
self._induce_error(before_rebalance_failure)
self.sleep(self.sleep_time)
try:
operation = self._rebalance_operation(self.rebalance_operation)
operation.result()
except Exception as e:
self.log.info("Rebalance failed with : {0}".format(str(e)))
# Recover from the error
self._recover_from_error(before_rebalance_failure)
self.check_retry_rebalance_succeeded()
else:
self.fail(
"Rebalance did not fail as expected. Hence could not validate auto-retry feature.."
)
finally:
if self.disable_auto_failover:
self.rest.update_autofailover_settings(True, 120)
self.start_server(self.servers[1])
self.stop_firewall_on_node(self.servers[1])
def test_auto_retry_of_failed_rebalance_where_failure_happens_during_rebalance(
self):
during_rebalance_failure = self.input.param("during_rebalance_failure",
"stop_server")
try:
operation = self._rebalance_operation(self.rebalance_operation)
self.sleep(self.sleep_time)
# induce the failure during the rebalance
self._induce_error(during_rebalance_failure)
operation.result()
except Exception as e:
self.log.info("Rebalance failed with : {0}".format(str(e)))
# Recover from the error
self._recover_from_error(during_rebalance_failure)
self.check_retry_rebalance_succeeded()
else:
# This is added as the failover task is not throwing exception
if self.rebalance_operation == "graceful_failover":
# Recover from the error
self._recover_from_error(during_rebalance_failure)
self.check_retry_rebalance_succeeded()
else:
self.fail(
"Rebalance did not fail as expected. Hence could not validate auto-retry feature.."
)
finally:
if self.disable_auto_failover:
self.rest.update_autofailover_settings(True, 120)
self.start_server(self.servers[1])
self.stop_firewall_on_node(self.servers[1])
def test_auto_retry_of_failed_rebalance_does_not_get_triggered_when_rebalance_is_stopped(
self):
operation = self._rebalance_operation(self.rebalance_operation)
reached = RestHelper(self.rest).rebalance_reached(30)
self.assertTrue(reached,
"Rebalance failed or did not reach {0}%".format(30))
self.rest.stop_rebalance(wait_timeout=self.sleep_time)
result = json.loads(self.rest.get_pending_rebalance_info())
self.log.info(result)
retry_rebalance = result["retry_rebalance"]
if retry_rebalance != "not_pending":
self.fail(
"Auto-retry succeeded even when Rebalance was stopped by user")
def test_negative_auto_retry_of_failed_rebalance_where_rebalance_will_be_cancelled(
self):
during_rebalance_failure = self.input.param("during_rebalance_failure",
"stop_server")
post_failure_operation = self.input.param("post_failure_operation",
"cancel_pending_rebalance")
try:
operation = self._rebalance_operation(self.rebalance_operation)
self.sleep(self.sleep_time)
# induce the failure during the rebalance
self._induce_error(during_rebalance_failure)
operation.result()
except Exception as e:
self.log.info("Rebalance failed with : {0}".format(str(e)))
# Recover from the error
self._recover_from_error(during_rebalance_failure)
result = json.loads(self.rest.get_pending_rebalance_info())
self.log.info(result)
retry_rebalance = result["retry_rebalance"]
rebalance_id = result["rebalance_id"]
if retry_rebalance != "pending":
self.fail("Auto-retry of failed rebalance is not triggered")
if post_failure_operation == "cancel_pending_rebalance":
# cancel pending rebalance
self.log.info(
"Cancelling rebalance Id: {0}".format(rebalance_id))
self.rest.cancel_pending_rebalance(rebalance_id)
elif post_failure_operation == "disable_auto_retry":
# disable the auto retry of the failed rebalance
self.log.info(
"Disable the the auto retry of the failed rebalance")
self.change_retry_rebalance_settings(enabled=False)
elif post_failure_operation == "retry_failed_rebalance_manually":
# retry failed rebalance manually
self.log.info(
"Retrying failed rebalance Id: {0}".format(rebalance_id))
self.cluster.rebalance(self.servers[:self.nodes_init], [], [])
else:
self.fail("Invalid post_failure_operation option")
# Now check and ensure retry won't happen
result = json.loads(self.rest.get_pending_rebalance_info())
self.log.info(result)
retry_rebalance = result["retry_rebalance"]
if retry_rebalance != "not_pending":
self.fail("Auto-retry of failed rebalance is not cancelled")
else:
self.fail(
"Rebalance did not fail as expected. Hence could not validate auto-retry feature.."
)
finally:
if self.disable_auto_failover:
self.rest.update_autofailover_settings(True, 120)
self.start_server(self.servers[1])
self.stop_firewall_on_node(self.servers[1])
def test_negative_auto_retry_of_failed_rebalance_where_rebalance_will_not_be_cancelled(
self):
during_rebalance_failure = self.input.param("during_rebalance_failure",
"stop_server")
post_failure_operation = self.input.param("post_failure_operation",
"create_delete_buckets")
zone_name = "Group_{0}_{1}".format(random.randint(1, 1000000000),
self._testMethodName)
zone_name = zone_name[0:60]
default_zone = "Group 1"
moved_node = []
moved_node.append(self.servers[1].ip)
try:
operation = self._rebalance_operation(self.rebalance_operation)
self.sleep(self.sleep_time)
# induce the failure during the rebalance
self._induce_error(during_rebalance_failure)
operation.result()
except Exception as e:
self.log.info("Rebalance failed with : {0}".format(str(e)))
# Recover from the error
self._recover_from_error(during_rebalance_failure)
result = json.loads(self.rest.get_pending_rebalance_info())
self.log.info(result)
retry_rebalance = result["retry_rebalance"]
if retry_rebalance != "pending":
self.fail("Auto-retry of failed rebalance is not triggered")
if post_failure_operation == "create_delete_buckets":
# delete buckets and create new one
BucketOperationHelper.delete_all_buckets_or_assert(
servers=self.servers, test_case=self)
self.sleep(self.sleep_time)
BucketOperationHelper.create_bucket(self.master,
test_case=self)
elif post_failure_operation == "change_replica_count":
# change replica count
self.log.info("Changing replica count of buckets")
for bucket in self.buckets:
self.rest.change_bucket_props(bucket, replicaNumber=2)
elif post_failure_operation == "change_server_group":
# change server group
self.log.info("Creating new zone " + zone_name)
self.rest.add_zone(zone_name)
self.log.info("Moving {0} to new zone {1}".format(
moved_node, zone_name))
status = self.rest.shuffle_nodes_in_zones(
moved_node, default_zone, zone_name)
else:
self.fail("Invalid post_failure_operation option")
# In these failure scenarios while the retry is pending, then the retry will be attempted but fail
try:
self.check_retry_rebalance_succeeded()
except Exception as e:
self.log.info(e)
if "Retrying of rebalance still did not help. All the retries exhausted" not in str(
e):
self.fail(
"Auto retry of failed rebalance succeeded when it was expected to fail"
)
else:
self.fail(
"Rebalance did not fail as expected. Hence could not validate auto-retry feature.."
)
finally:
if post_failure_operation == "change_server_group":
status = self.rest.shuffle_nodes_in_zones(
moved_node, zone_name, default_zone)
self.log.info(
"Shuffle the node back to default group . Status : {0}".
format(status))
self.sleep(self.sleep_time)
self.log.info("Deleting new zone " + zone_name)
try:
self.rest.delete_zone(zone_name)
except:
self.log.info("Errors in deleting zone")
if self.disable_auto_failover:
self.rest.update_autofailover_settings(True, 120)
self.start_server(self.servers[1])
self.stop_firewall_on_node(self.servers[1])
def test_auto_retry_of_failed_rebalance_with_rebalance_test_conditions(
self):
test_failure_condition = self.input.param("test_failure_condition")
# induce the failure before the rebalance starts
self._induce_rebalance_test_condition(test_failure_condition)
self.sleep(self.sleep_time)
try:
operation = self._rebalance_operation(self.rebalance_operation)
operation.result()
except Exception as e:
self.log.info("Rebalance failed with : {0}".format(str(e)))
# Delete the rebalance test condition so that we recover from the error
self._delete_rebalance_test_condition(test_failure_condition)
self.check_retry_rebalance_succeeded()
else:
self.fail(
"Rebalance did not fail as expected. Hence could not validate auto-retry feature.."
)
finally:
if self.disable_auto_failover:
self.rest.update_autofailover_settings(True, 120)
self._delete_rebalance_test_condition(test_failure_condition)
def test_auto_retry_of_failed_rebalance_with_autofailvoer_enabled(self):
before_rebalance_failure = self.input.param("before_rebalance_failure",
"stop_server")
# induce the failure before the rebalance starts
self._induce_error(before_rebalance_failure)
try:
operation = self._rebalance_operation(self.rebalance_operation)
operation.result()
except Exception as e:
self.log.info("Rebalance failed with : {0}".format(str(e)))
if self.auto_failover_timeout < self.afterTimePeriod:
self.sleep(self.auto_failover_timeout)
result = json.loads(self.rest.get_pending_rebalance_info())
self.log.info(result)
retry_rebalance = result["retry_rebalance"]
if retry_rebalance != "not_pending":
self.fail(
"Auto-failover did not cancel pending retry of the failed rebalance"
)
else:
try:
self.check_retry_rebalance_succeeded()
except Exception as e:
if "Retrying of rebalance still did not help" not in str(
e):
self.fail(
"retry rebalance succeeded even without failover")
self.sleep(self.auto_failover_timeout)
self.cluster.rebalance(self.servers[:self.nodes_init], [],
[])
else:
self.fail(
"Rebalance did not fail as expected. Hence could not validate auto-retry feature.."
)
finally:
if self.disable_auto_failover:
self.rest.update_autofailover_settings(True, 120)
self.start_server(self.servers[1])
self.stop_firewall_on_node(self.servers[1])
def _rebalance_operation(self, rebalance_operation):
self.log.info("Starting rebalance operation of type : {0}".format(
rebalance_operation))
if rebalance_operation == "rebalance_out":
operation = self.cluster.async_rebalance(
self.servers[:self.nodes_init], [], self.servers[1:])
elif rebalance_operation == "rebalance_in":
operation = self.cluster.async_rebalance(
self.servers[:self.nodes_init],
[self.servers[self.nodes_init]], [])
elif rebalance_operation == "swap_rebalance":
self.rest.add_node(self.master.rest_username,
self.master.rest_password,
self.servers[self.nodes_init].ip,
self.servers[self.nodes_init].port)
operation = self.cluster.async_rebalance(
self.servers[:self.nodes_init], [],
[self.servers[self.nodes_init - 1]])
elif rebalance_operation == "graceful_failover":
# TODO : retry for graceful failover is not yet implemented
operation = self.cluster.async_failover(
[self.master],
failover_nodes=[self.servers[1]],
graceful=True,
wait_for_pending=120)
return operation
def _induce_error(self, error_condition):
if error_condition == "stop_server":
self.stop_server(self.servers[1])
elif error_condition == "enable_firewall":
self.start_firewall_on_node(self.servers[1])
elif error_condition == "kill_memcached":
self.kill_server_memcached(self.servers[1])
elif error_condition == "reboot_server":
shell = RemoteMachineShellConnection(self.servers[1])
shell.reboot_node()
elif error_condition == "kill_erlang":
shell = RemoteMachineShellConnection(self.servers[1])
shell.kill_erlang()
self.sleep(self.sleep_time * 3)
else:
self.fail("Invalid error induce option")
def _recover_from_error(self, error_condition):
if error_condition == "stop_server" or error_condition == "kill_erlang":
self.start_server(self.servers[1])
self.sleep(self.sleep_time * 4)
elif error_condition == "enable_firewall":
self.stop_firewall_on_node(self.servers[1])
elif error_condition == "reboot_server":
self.sleep(self.sleep_time * 4)
# wait till node is ready after warmup
ClusterOperationHelper.wait_for_ns_servers_or_assert(
[self.servers[1]], self, wait_if_warmup=True)
def _induce_rebalance_test_condition(self, test_failure_condition):
if test_failure_condition == "verify_replication":
set_command = "testconditions:set(verify_replication, {fail, \"" + "default" + "\"})"
elif test_failure_condition == "backfill_done":
set_command = "testconditions:set(backfill_done, {for_vb_move, \"" + "default\", 1 , " + "fail})"
else:
set_command = "testconditions:set({0}, fail)".format(
test_failure_condition)
get_command = "testconditions:get({0})".format(test_failure_condition)
for server in self.servers:
rest = RestConnection(server)
_, content = rest.diag_eval(set_command)
self.log.info("Command : {0} Return : {1}".format(
set_command, content))
for server in self.servers:
rest = RestConnection(server)
_, content = rest.diag_eval(get_command)
self.log.info("Command : {0} Return : {1}".format(
get_command, content))
def _delete_rebalance_test_condition(self, test_failure_condition):
delete_command = "testconditions:delete({0})".format(
test_failure_condition)
get_command = "testconditions:get({0})".format(test_failure_condition)
for server in self.servers:
rest = RestConnection(server)
_, content = rest.diag_eval(delete_command)
self.log.info("Command : {0} Return : {1}".format(
delete_command, content))
for server in self.servers:
rest = RestConnection(server)
_, content = rest.diag_eval(get_command)
self.log.info("Command : {0} Return : {1}".format(
get_command, content))
class AutoRetryFailedRebalance(RebalanceBaseTest):
def setUp(self):
super(AutoRetryFailedRebalance, self).setUp()
self.rest = RestConnection(self.cluster.master)
self.sleep_time = self.input.param("sleep_time", 15)
self.enabled = self.input.param("enabled", True)
self.afterTimePeriod = self.input.param("afterTimePeriod", 300)
self.maxAttempts = self.input.param("maxAttempts", 1)
self.log.info("Changing the retry rebalance settings ....")
self.change_retry_rebalance_settings(
enabled=self.enabled,
afterTimePeriod=self.afterTimePeriod,
maxAttempts=self.maxAttempts)
self.rebalance_operation = self.input.param("rebalance_operation",
"rebalance_out")
self.disable_auto_failover = self.input.param("disable_auto_failover",
True)
self.auto_failover_timeout = self.input.param("auto_failover_timeout",
120)
if self.disable_auto_failover:
self.rest.update_autofailover_settings(False, 120)
else:
self.rest.update_autofailover_settings(True,
self.auto_failover_timeout)
self.cb_collect_failure_nodes = dict()
# To support data load during auto retry op
self.data_load = self.input.param("data_load", False)
self.rebalance_failed_msg = "Rebalance failed as expected"
def tearDown(self):
self.reset_retry_rebalance_settings()
self.cbcollect_info()
# Reset to default value
super(AutoRetryFailedRebalance, self).tearDown()
rest = RestConnection(self.servers[0])
zones = rest.get_zone_names()
for zone in zones:
if zone != "Group 1":
rest.delete_zone(zone)
def __update_cbcollect_expected_node_failures(self, nodes, reason):
for node in nodes:
self.cb_collect_failure_nodes[node.ip] = reason
def set_retry_exceptions(self, doc_loading_spec):
retry_exceptions = list()
retry_exceptions.append(SDKException.AmbiguousTimeoutException)
retry_exceptions.append(SDKException.TimeoutException)
retry_exceptions.append(SDKException.RequestCanceledException)
retry_exceptions.append(SDKException.DocumentNotFoundException)
retry_exceptions.append(SDKException.ServerOutOfMemoryException)
if self.durability_level:
retry_exceptions.append(SDKException.DurabilityAmbiguousException)
retry_exceptions.append(SDKException.DurabilityImpossibleException)
doc_loading_spec[MetaCrudParams.RETRY_EXCEPTIONS] = retry_exceptions
def async_data_load(self):
doc_loading_spec = self.bucket_util.get_crud_template_from_package(
"volume_test_load")
self.set_retry_exceptions(doc_loading_spec)
tasks = self.bucket_util.run_scenario_from_spec(
self.task,
self.cluster,
self.cluster.buckets,
doc_loading_spec,
mutation_num=0,
async_load=True,
batch_size=self.batch_size,
process_concurrency=self.process_concurrency)
return tasks
def data_validation(self, tasks):
self.task.jython_task_manager.get_task_result(tasks)
self.bucket_util.validate_doc_loading_results(tasks)
if tasks.result is False:
self.fail("Doc_loading failed")
self.cluster_util.print_cluster_stats(self.cluster)
self.bucket_util._wait_for_stats_all_buckets(self.cluster,
self.cluster.buckets,
timeout=1200)
self.bucket_util.validate_docs_per_collections_all_buckets(
self.cluster)
self.bucket_util.print_bucket_stats(self.cluster)
def test_auto_retry_of_failed_rebalance_where_failure_happens_before_rebalance(
self):
tasks = None
before_rebalance_failure = self.input.param("before_rebalance_failure",
"stop_server")
# induce the failure before the rebalance starts
self._induce_error(before_rebalance_failure)
self.sleep(self.sleep_time)
try:
rebalance = self._rebalance_operation(self.rebalance_operation)
self.task.jython_task_manager.get_task_result(rebalance)
self.assertTrue(rebalance.result, self.rebalance_failed_msg)
except Exception as e:
self.log.info("Rebalance failed with: {0}".format(str(e)))
# Trigger cbcollect after rebalance failure
self.cbcollect_info(trigger=True,
validate=False,
known_failures=self.cb_collect_failure_nodes)
# Recover from the error
self._recover_from_error(before_rebalance_failure)
if self.data_load:
tasks = self.async_data_load()
self.check_retry_rebalance_succeeded()
# Validate cbcollect result after rebalance retry
self.cbcollect_info(trigger=False,
validate=True,
known_failures=self.cb_collect_failure_nodes)
if self.data_load:
self.data_validation(tasks)
else:
self.fail("Rebalance did not fail as expected. "
"Hence could not validate auto-retry feature..")
finally:
if self.disable_auto_failover:
self.rest.update_autofailover_settings(True, 120)
self.cluster_util.start_server(self.cluster, self.servers[1])
self.cluster_util.stop_firewall_on_node(self.cluster,
self.servers[1])
def test_auto_retry_of_failed_rebalance_where_failure_happens_during_rebalance(
self):
tasks = None
during_rebalance_failure = self.input.param("during_rebalance_failure",
"stop_server")
try:
rebalance = self._rebalance_operation(self.rebalance_operation)
self.sleep(self.sleep_time)
# induce the failure during the rebalance
self._induce_error(during_rebalance_failure)
self.task.jython_task_manager.get_task_result(rebalance)
self.assertTrue(rebalance.result, self.rebalance_failed_msg)
except Exception as e:
self.log.info("Rebalance failed with: {0}".format(str(e)))
# Recover from the error
self._recover_from_error(during_rebalance_failure)
if self.data_load:
tasks = self.async_data_load()
self.check_retry_rebalance_succeeded()
if self.data_load:
self.data_validation(tasks)
else:
# This is added as the failover task is not throwing exception
if self.rebalance_operation == "graceful_failover":
# Recover from the error
self._recover_from_error(during_rebalance_failure)
if self.data_load:
tasks = self.async_data_load()
self.check_retry_rebalance_succeeded()
if self.data_load:
self.data_validation(tasks)
else:
self.fail("Rebalance did not fail as expected. "
"Hence could not validate auto-retry feature..")
finally:
if self.disable_auto_failover:
self.rest.update_autofailover_settings(True, 120)
self.cluster_util.start_server(self.cluster, self.servers[1])
self.cluster_util.stop_firewall_on_node(self.cluster,
self.servers[1])
def test_auto_retry_of_failed_rebalance_does_not_get_triggered_when_rebalance_is_stopped(
self):
_ = self._rebalance_operation(self.rebalance_operation)
reached = self.cluster_util.rebalance_reached(self.rest, 30)
self.assertTrue(reached, "Rebalance failed or did not reach 30%")
# Trigger cbcollect before interrupting the rebalance
self.cbcollect_info(trigger=True, validate=False)
self.rest.stop_rebalance(wait_timeout=self.sleep_time)
result = json.loads(self.rest.get_pending_rebalance_info())
self.log.info(result)
# Validate cbcollect results
self.cbcollect_info(trigger=False, validate=True)
retry_rebalance = result["retry_rebalance"]
if retry_rebalance != "not_pending":
self.fail(
"Auto-retry succeeded even when Rebalance was stopped by user")
def test_negative_auto_retry_of_failed_rebalance_where_rebalance_will_be_cancelled(
self):
during_rebalance_failure = self.input.param("during_rebalance_failure",
"stop_server")
post_failure_operation = self.input.param("post_failure_operation",
"cancel_pending_rebalance")
try:
rebalance = self._rebalance_operation(self.rebalance_operation)
self.sleep(self.sleep_time)
# induce the failure during the rebalance
self._induce_error(during_rebalance_failure)
self.task.jython_task_manager.get_task_result(rebalance)
self.assertTrue(rebalance.result, self.rebalance_failed_msg)
except Exception as e:
self.log.info("Rebalance failed with: %s" % e)
# Recover from the error
self._recover_from_error(during_rebalance_failure)
# TODO : Data load at this stage fails;
# if self.data_load:
# tasks = self.async_data_load()
result = json.loads(self.rest.get_pending_rebalance_info())
# if self.data_load:
# self.data_validation(tasks)
self.log.info(result)
retry_rebalance = result["retry_rebalance"]
rebalance_id = result["rebalance_id"]
if retry_rebalance != "pending":
self.fail("Auto-retry of failed rebalance is not triggered")
if post_failure_operation == "cancel_pending_rebalance":
# cancel pending rebalance
self.log.info("Cancelling rebalance-id: %s" % rebalance_id)
self.rest.cancel_pending_rebalance(rebalance_id)
elif post_failure_operation == "disable_auto_retry":
# disable the auto retry of the failed rebalance
self.log.info("Disable the auto retry of the failed rebalance")
self.change_retry_rebalance_settings(enabled=False)
elif post_failure_operation == "retry_failed_rebalance_manually":
# retry failed rebalance manually
self.log.info("Retrying failed rebalance id %s" % rebalance_id)
self.cluster.rebalance(self.servers[:self.nodes_init], [], [])
else:
self.fail("Invalid post_failure_operation option")
# Now check and ensure retry won't happen
result = json.loads(self.rest.get_pending_rebalance_info())
self.log.info(result)
retry_rebalance = result["retry_rebalance"]
if retry_rebalance != "not_pending":
self.fail("Auto-retry of failed rebalance is not cancelled")
else:
self.fail("Rebalance did not fail as expected. "
"Hence could not validate auto-retry feature..")
finally:
if self.disable_auto_failover:
self.rest.update_autofailover_settings(True, 120)
self.cluster_util.start_server(self.cluster, self.servers[1])
self.cluster_util.stop_firewall_on_node(self.cluster,
self.servers[1])
def test_negative_auto_retry_of_failed_rebalance_where_rebalance_will_not_be_cancelled(
self):
during_rebalance_failure = self.input.param("during_rebalance_failure",
"stop_server")
post_failure_operation = self.input.param("post_failure_operation",
"create_delete_buckets")
zone_name = "Group_{0}_{1}".format(random.randint(1, 1000000000),
self._testMethodName)
zone_name = zone_name[0:60]
default_zone = "Group 1"
moved_node = [self.servers[1].ip]
try:
rebalance = self._rebalance_operation(self.rebalance_operation)
self.sleep(self.sleep_time)
# induce the failure during the rebalance
self._induce_error(during_rebalance_failure)
self.task.jython_task_manager.get_task_result(rebalance)
self.assertTrue(rebalance.result, self.rebalance_failed_msg)
except Exception as e:
self.log.info("Rebalance failed with : {0}".format(str(e)))
# Recover from the error
self._recover_from_error(during_rebalance_failure)
result = json.loads(self.rest.get_pending_rebalance_info())
self.log.info(result)
retry_rebalance = result["retry_rebalance"]
if retry_rebalance != "pending":
self.fail("Auto-retry of failed rebalance is not triggered")
# if post_failure_operation == "create_delete_buckets":
# # delete buckets and create new one
# BucketOperationHelper.delete_all_buckets_or_assert(servers=self.servers, test_case=self)
# self.sleep(self.sleep_time)
# BucketOperationHelper.create_bucket(self.master, test_case=self)
# Start cbcollect only if auto-retry of rebalance is triggered
self.cbcollect_info(trigger=True, validate=False)
if post_failure_operation == "change_replica_count":
# change replica count
self.log.info("Changing replica count of buckets")
for bucket in self.cluster.buckets:
self.bucket_util.update_bucket_property(
self.cluster.master, bucket, replica_number=2)
elif post_failure_operation == "change_server_group":
# change server group
self.log.info("Creating new zone " + zone_name)
self.rest.add_zone(zone_name)
self.log.info("Moving {0} to new zone {1}".format(
moved_node, zone_name))
_ = self.rest.shuffle_nodes_in_zones(moved_node, default_zone,
zone_name)
else:
self.fail("Invalid post_failure_operation option")
# In these failure scenarios while the retry is pending,
# then the retry will be attempted but fail
try:
self.check_retry_rebalance_succeeded()
# Validate cbcollect results
self.cbcollect_info(trigger=False, validate=True)
except Exception as e:
self.log.info(e)
# Wait for cbstat to complete before asserting
self.cbcollect_info(trigger=False, validate=True)
if "Retrying of rebalance still did not help. All the retries exhausted" not in str(
e):
self.fail(
"Auto retry of failed rebalance succeeded when it was expected to fail"
)
else:
self.fail(
"Rebalance did not fail as expected. Hence could not validate auto-retry feature.."
)
finally:
if post_failure_operation == "change_server_group":
status = self.rest.shuffle_nodes_in_zones(
moved_node, zone_name, default_zone)
self.log.info("Shuffle the node back to default group. "
"Status: %s" % status)
self.sleep(self.sleep_time)
self.log.info("Deleting new zone " + zone_name)
try:
self.rest.delete_zone(zone_name)
except:
self.log.info("Errors in deleting zone")
if self.disable_auto_failover:
self.rest.update_autofailover_settings(True, 120)
self.cluster_util.start_server(self.cluster, self.servers[1])
self.cluster_util.stop_firewall_on_node(self.cluster,
self.servers[1])
def test_auto_retry_of_failed_rebalance_with_rebalance_test_conditions(
self):
tasks = None
test_failure_condition = self.input.param("test_failure_condition")
# induce the failure before the rebalance starts
self._induce_rebalance_test_condition(test_failure_condition)
self.sleep(self.sleep_time)
try:
rebalance = self._rebalance_operation(self.rebalance_operation)
self.task.jython_task_manager.get_task_result(rebalance)
self.assertTrue(rebalance.result, self.rebalance_failed_msg)
except Exception as e:
self.log.info("Rebalance failed with: %s" % e)
# Delete the rebalance test condition to recover from the error
self._delete_rebalance_test_condition(test_failure_condition)
if self.data_load:
tasks = self.async_data_load()
self.check_retry_rebalance_succeeded()
if self.data_load:
self.data_validation(tasks)
else:
self.fail("Rebalance did not fail as expected. "
"Hence could not validate auto-retry feature..")
finally:
if self.disable_auto_failover:
self.rest.update_autofailover_settings(True, 120)
self._delete_rebalance_test_condition(test_failure_condition)
def test_auto_retry_of_failed_rebalance_with_autofailvoer_enabled(self):
before_rebalance_failure = self.input.param("before_rebalance_failure",
"stop_server")
# induce the failure before the rebalance starts
self._induce_error(before_rebalance_failure)
try:
rebalance = self._rebalance_operation(self.rebalance_operation)
self.task.jython_task_manager.get_task_result(rebalance)
self.assertTrue(rebalance.result, self.rebalance_failed_msg)
except Exception as e:
self.log.info("Rebalance failed with: {0}".format(str(e)))
self.cbcollect_info(trigger=True,
validate=False,
known_failures=self.cb_collect_failure_nodes)
if self.auto_failover_timeout < self.afterTimePeriod:
self.sleep(self.auto_failover_timeout)
result = json.loads(self.rest.get_pending_rebalance_info())
self.log.info(result)
retry_rebalance = result["retry_rebalance"]
if retry_rebalance != "not_pending":
# Wait for cbcollect to complete before asserting
self.cbcollect_info(
trigger=False,
validate=True,
known_failures=self.cb_collect_failure_nodes)
self.fail("Auto-failover did not cancel pending retry "
"of the failed rebalance")
else:
try:
self.check_retry_rebalance_succeeded()
except Exception as e:
expected_msg = "Retrying of rebalance still did not help"
if expected_msg not in str(e):
self.fail("Retry rebalance succeeded "
"even without failover")
self.sleep(self.auto_failover_timeout)
self.cluster.rebalance(self.servers[:self.nodes_init], [],
[])
finally:
self.cbcollect_info(
trigger=False,
validate=True,
known_failures=self.cb_collect_failure_nodes)
else:
self.fail("Rebalance did not fail as expected. "
"Hence could not validate auto-retry feature..")
finally:
if self.disable_auto_failover:
self.rest.update_autofailover_settings(True, 120)
self.cluster_util.start_server(self.cluster, self.servers[1])
self.cluster_util.stop_firewall_on_node(self.cluster,
self.servers[1])
def test_cbcollect_with_rebalance_delay_condition(self):
test_failure_condition = self.input.param("test_failure_condition")
vb_num = self.input.param("target_vb")
delay_milliseconds = self.input.param("delay_time", 60) * 1000
# induce the failure before the rebalance starts
self._induce_rebalance_test_condition(test_failure_condition,
vb_num=vb_num,
delay_time=delay_milliseconds)
self.sleep(self.sleep_time,
"Wait for rebalance_test_condition to take effect")
rebalance = self._rebalance_operation(self.rebalance_operation)
# Start and validate cbcollect with rebalance delay
self.cbcollect_info(trigger=True, validate=True)
self.task.jython_task_manager.get_task_result(rebalance)
if self.disable_auto_failover:
self.rest.update_autofailover_settings(True, 120)
self._delete_rebalance_test_condition(test_failure_condition)
if rebalance.result is False:
self.fail("Rebalance failed with test_condition: %s" %
test_failure_condition)
def _rebalance_operation(self, rebalance_operation):
operation = None
self.log.info("Starting rebalance operation of type: %s" %
rebalance_operation)
if rebalance_operation == "rebalance_out":
operation = self.task.async_rebalance(
self.cluster, [],
self.cluster.servers[1:],
retry_get_process_num=self.retry_get_process_num)
self.__update_cbcollect_expected_node_failures(
self.cluster.servers[1:], "out_node")
elif rebalance_operation == "rebalance_in":
operation = self.task.async_rebalance(
self.cluster, [self.cluster.servers[self.nodes_init]], [],
retry_get_process_num=self.retry_get_process_num)
self.__update_cbcollect_expected_node_failures(
[self.cluster.servers[self.nodes_init]], "in_node")
elif rebalance_operation == "swap_rebalance":
self.rest.add_node(self.cluster.master.rest_username,
self.cluster.master.rest_password,
self.cluster.servers[self.nodes_init].ip,
self.cluster.servers[self.nodes_init].port)
operation = self.task.async_rebalance(
self.cluster, [], [self.cluster.servers[self.nodes_init - 1]],
retry_get_process_num=self.retry_get_process_num)
self.__update_cbcollect_expected_node_failures(
[self.cluster.servers[self.nodes_init]], "in_node")
self.__update_cbcollect_expected_node_failures(
[self.cluster.servers[self.nodes_init - 1]], "out_node")
elif rebalance_operation == "graceful_failover":
# TODO : retry for graceful failover is not yet implemented
operation = self.task.async_failover(
[self.cluster.master],
failover_nodes=[self.cluster.servers[1]],
graceful=True,
wait_for_pending=300)
return operation
def _induce_error(self, error_condition):
cb_collect_err_str = None
if error_condition == "stop_server":
cb_collect_err_str = "failed"
self.cluster_util.stop_server(self.cluster, self.servers[1])
elif error_condition == "enable_firewall":
cb_collect_err_str = "failed"
self.cluster_util.start_firewall_on_node(self.cluster,
self.servers[1])
elif error_condition == "kill_memcached":
self.cluster_util.kill_memcached(self.cluster,
node=self.servers[1])
elif error_condition == "reboot_server":
cb_collect_err_str = "failed"
shell = RemoteMachineShellConnection(self.servers[1])
shell.reboot_node()
shell.disconnect()
elif error_condition == "kill_erlang":
cb_collect_err_str = "failed"
shell = RemoteMachineShellConnection(self.servers[1])
shell.kill_erlang()
shell.disconnect()
self.sleep(self.sleep_time * 3)
else:
self.fail("Invalid error induce option")
if cb_collect_err_str:
self.__update_cbcollect_expected_node_failures([self.servers[1]],
cb_collect_err_str)
def _recover_from_error(self, error_condition):
if error_condition == "stop_server" \
or error_condition == "kill_erlang":
self.cluster_util.start_server(self.cluster, self.servers[1])
elif error_condition == "enable_firewall":
self.cluster_util.stop_firewall_on_node(self.cluster,
self.servers[1])
elif error_condition == "reboot_server":
self.sleep(self.sleep_time * 4)
self.cluster_util.stop_firewall_on_node(self.cluster,
self.servers[1])
def _induce_rebalance_test_condition(self,
test_failure_condition,
bucket_name="default",
vb_num=1,
delay_time=60000):
if test_failure_condition == "verify_replication":
set_command = 'testconditions:set(verify_replication, ' \
'{fail, "%s"})' % bucket_name
elif test_failure_condition == "backfill_done":
set_command = 'testconditions:set(backfill_done, ' \
'{for_vb_move, "%s", %s , fail})' \
% (bucket_name, vb_num)
elif test_failure_condition == "delay_rebalance_start":
set_command = 'testconditions:set(rebalance_start, {delay, %s}).' \
% delay_time
elif test_failure_condition == "delay_verify_replication":
set_command = 'testconditions:set(verify_replication, ' \
'{delay, "%s", %s})' % (bucket_name, delay_time)
elif test_failure_condition == "delay_backfill_done":
set_command = 'testconditions:set(backfill_done, ' \
'{for_vb_move, "%s", %s, {delay, %s}})' \
% (bucket_name, vb_num, delay_time)
else:
set_command = "testconditions:set(%s, fail)" \
% test_failure_condition
get_command = "testconditions:get(%s)" % test_failure_condition
for server in self.servers:
rest = RestConnection(server)
shell = RemoteMachineShellConnection(server)
shell.enable_diag_eval_on_non_local_hosts()
_, content = rest.diag_eval(set_command)
self.log.debug("Set Command: %s. Return: %s" %
(set_command, content))
shell.disconnect()
for server in self.servers:
rest = RestConnection(server)
shell = RemoteMachineShellConnection(server)
shell.enable_diag_eval_on_non_local_hosts()
_, content = rest.diag_eval(get_command)
self.log.info("Command: %s, Return: %s" % (get_command, content))
def _delete_rebalance_test_condition(self, test_failure_condition):
if test_failure_condition.startswith("delay_"):
test_failure_condition = test_failure_condition[6:]
delete_command = "testconditions:delete(%s)" % test_failure_condition
get_command = "testconditions:get(%s)" % test_failure_condition
for server in self.servers:
rest = RestConnection(server)
shell = RemoteMachineShellConnection(server)
shell.enable_diag_eval_on_non_local_hosts()
_, content = rest.diag_eval(delete_command)
self.log.info("Command: %s, Return: %s" %
(delete_command, content))
for server in self.servers:
rest = RestConnection(server)
shell = RemoteMachineShellConnection(server)
shell.enable_diag_eval_on_non_local_hosts()
_, content = rest.diag_eval(get_command)
self.log.info("Command: %s, Return: %s" % (get_command, content))