class BaseTestCase(unittest.TestCase):
def setUp(self):
self.log = logger.Logger.get_logger()
self.input = TestInputSingleton.input
self.servers = self.input.servers
self.buckets = []
self.master = self.servers[0]
self.cluster = Cluster()
self.wait_timeout = self.input.param("wait_timeout", 60)
#number of case that is performed from testrunner( increment each time)
self.case_number = self.input.param("case_number", 0)
self.default_bucket = self.input.param("default_bucket", True)
if self.default_bucket:
self.default_bucket_name = "default"
self.standard_buckets = self.input.param("standard_buckets", 0)
self.sasl_buckets = self.input.param("sasl_buckets", 0)
self.total_buckets = self.sasl_buckets + self.default_bucket + self.standard_buckets
self.num_servers = self.input.param("servers", len(self.servers))
#initial number of items in the cluster
self.nodes_init = self.input.param("nodes_init", 1)
self.num_replicas = self.input.param("replicas", 1)
self.num_items = self.input.param("items", 1000)
self.dgm_run = self.input.param("dgm_run", False)
#max items number to verify in ValidateDataTask, None - verify all
self.max_verify = self.input.param("max_verify", None)
#we don't change consistent_view on server by default
self.disabled_consistent_view = self.input.param(
"disabled_consistent_view", None)
self.log.info("============== basetestcase setup was started for test #{0} {1}=============="\
.format(self.case_number, self._testMethodName))
#avoid clean up if the previous test has been tear down
if not self.input.param("skip_cleanup", True) or self.case_number == 1:
self.tearDown()
self.cluster = Cluster()
if str(self.__class__).find('rebalanceout.RebalanceOutTests') != -1:
#rebalance all nodes into the cluster before each test
self.cluster.rebalance(self.servers[:self.num_servers],
self.servers[1:self.num_servers], [])
elif self.nodes_init > 1:
self.cluster.rebalance(self.servers[:1],
self.servers[1:self.nodes_init], [])
self.quota = self._initialize_nodes(self.cluster, self.servers,
self.disabled_consistent_view)
if self.dgm_run:
self.quota = 256
if self.total_buckets > 0:
self.bucket_size = self._get_bucket_size(self.quota,
self.total_buckets)
if self.default_bucket:
self.cluster.create_default_bucket(self.master, self.bucket_size,
self.num_replicas)
self.buckets.append(
Bucket(name="default",
authType="sasl",
saslPassword="",
num_replicas=self.num_replicas,
bucket_size=self.bucket_size))
self._create_sasl_buckets(self.master, self.sasl_buckets)
self._create_standard_buckets(self.master, self.standard_buckets)
self.log.info("============== basetestcase setup was finished for test #{0} {1} =============="\
.format(self.case_number, self._testMethodName))
self._log_start(self)
def tearDown(self):
try:
if (hasattr(self, '_resultForDoCleanups') and len(self._resultForDoCleanups.failures) > 0 \
and TestInputSingleton.input.param("stop-on-failure", False))\
or self.input.param("skip_cleanup", False):
self.log.warn("CLEANUP WAS SKIPPED")
else:
self.log.info("============== basetestcase cleanup was started for test #{0} {1} =============="\
.format(self.case_number, self._testMethodName))
rest = RestConnection(self.master)
alerts = rest.get_alerts()
if alerts is not None and len(alerts) != 0:
self.log.warn("Alerts were found: {0}".format(alerts))
if rest._rebalance_progress_status() == 'running':
self.log.warning(
"rebalancing is still running, test should be verified"
)
stopped = rest.stop_rebalance()
self.assertTrue(stopped, msg="unable to stop rebalance")
BucketOperationHelper.delete_all_buckets_or_assert(
self.servers, self)
ClusterOperationHelper.cleanup_cluster(self.servers)
time.sleep(10)
ClusterOperationHelper.wait_for_ns_servers_or_assert(
self.servers, self)
self.log.info("============== basetestcase cleanup was finished for test #{0} {1} =============="\
.format(self.case_number, self._testMethodName))
finally:
#stop all existing task manager threads
self.cluster.shutdown()
self._log_finish(self)
@staticmethod
def _log_start(self):
try:
msg = "{0} : {1} started ".format(datetime.datetime.now(),
self._testMethodName)
RestConnection(self.servers[0]).log_client_error(msg)
except:
pass
@staticmethod
def _log_finish(self):
try:
msg = "{0} : {1} finished ".format(datetime.datetime.now(),
self._testMethodName)
RestConnection(self.servers[0]).log_client_error(msg)
except:
pass
def _initialize_nodes(self,
cluster,
servers,
disabled_consistent_view=None):
quota = 0
init_tasks = []
for server in servers:
init_tasks.append(
cluster.async_init_node(server, disabled_consistent_view))
for task in init_tasks:
node_quota = task.result()
if node_quota < quota or quota == 0:
quota = node_quota
return quota
def _get_bucket_size(self, quota, num_buckets, ratio=2.0 / 3.0):
ip = self.servers[0]
for server in self.servers:
if server.ip == ip:
return int(ratio / float(self.num_servers) /
float(num_buckets) * float(quota))
return int(ratio / float(num_buckets) * float(quota))
def _create_sasl_buckets(self, server, num_buckets):
bucket_tasks = []
for i in range(num_buckets):
name = 'bucket' + str(i)
bucket_tasks.append(
self.cluster.async_create_sasl_bucket(server, name, 'password',
self.bucket_size,
self.num_replicas))
self.buckets.append(
Bucket(name=name,
authType="sasl",
saslPassword='******',
num_replicas=self.num_replicas,
bucket_size=self.bucket_size))
for task in bucket_tasks:
task.result()
def _create_standard_buckets(self, server, num_buckets):
bucket_tasks = []
for i in range(num_buckets):
name = 'standard_bucket' + str(i)
bucket_tasks.append(
self.cluster.async_create_standard_bucket(
server, name, 11214 + i, self.bucket_size,
self.num_replicas))
self.buckets.append(
Bucket(name=name,
authType=None,
saslPassword=None,
num_replicas=self.num_replicas,
bucket_size=self.bucket_size,
port=11214 + i))
for task in bucket_tasks:
task.result()
def _all_buckets_delete(self, server):
delete_tasks = []
for bucket in self.buckets:
delete_tasks.append(
self.cluster.async_bucket_delete(server, bucket.name))
for task in delete_tasks:
task.result()
self.buckets = []
def _verify_stats_all_buckets(self, servers):
stats_tasks = []
for bucket in self.buckets:
items = sum([len(kv_store) for kv_store in bucket.kvs.values()])
stats_tasks.append(
self.cluster.async_wait_for_stats(servers, bucket, '',
'curr_items', '==', items))
stats_tasks.append(
self.cluster.async_wait_for_stats(servers, bucket, '',
'vb_active_curr_items', '==',
items))
available_replicas = self.num_replicas
if len(servers) == self.num_replicas:
available_replicas = len(servers) - 1
elif len(servers) <= self.num_replicas:
available_replicas = len(servers) - 1
stats_tasks.append(
self.cluster.async_wait_for_stats(servers, bucket, '',
'vb_replica_curr_items',
'==',
items * available_replicas))
stats_tasks.append(
self.cluster.async_wait_for_stats(
servers, bucket, '', 'curr_items_tot', '==',
items * (available_replicas + 1)))
for task in stats_tasks:
task.result(60)
"""Asynchronously applys load generation to all bucekts in the cluster.
bucket.name, gen,
bucket.kvs[kv_store],
op_type, exp
Args:
server - A server in the cluster. (TestInputServer)
kv_gen - The generator to use to generate load. (DocumentGenerator)
op_type - "create", "read", "update", or "delete" (String)
exp - The expiration for the items if updated or created (int)
kv_store - The index of the bucket's kv_store to use. (int)
Returns:
A list of all of the tasks created.
"""
def _async_load_all_buckets(self,
server,
kv_gen,
op_type,
exp,
kv_store=1,
flag=0,
only_store_hash=True,
batch_size=1,
pause_secs=1,
timeout_secs=30):
tasks = []
for bucket in self.buckets:
gen = copy.deepcopy(kv_gen)
tasks.append(
self.cluster.async_load_gen_docs(server, bucket.name, gen,
bucket.kvs[kv_store], op_type,
exp, flag, only_store_hash,
batch_size, pause_secs,
timeout_secs))
return tasks
"""Synchronously applys load generation to all bucekts in the cluster.
Args:
server - A server in the cluster. (TestInputServer)
kv_gen - The generator to use to generate load. (DocumentGenerator)
op_type - "create", "read", "update", or "delete" (String)
exp - The expiration for the items if updated or created (int)
kv_store - The index of the bucket's kv_store to use. (int)
"""
def _load_all_buckets(self,
server,
kv_gen,
op_type,
exp,
kv_store=1,
flag=0,
only_store_hash=True,
batch_size=1000,
pause_secs=1,
timeout_secs=30):
tasks = self._async_load_all_buckets(server, kv_gen, op_type, exp,
kv_store, flag, only_store_hash,
batch_size, pause_secs,
timeout_secs)
for task in tasks:
task.result()
"""Waits for queues to drain on all servers and buckets in a cluster.
A utility function that waits for all of the items loaded to be persisted
and replicated.
Args:
servers - A list of all of the servers in the cluster. ([TestInputServer])
"""
def _wait_for_stats_all_buckets(self, servers):
tasks = []
for server in servers:
for bucket in self.buckets:
tasks.append(
self.cluster.async_wait_for_stats([server], bucket, '',
'ep_queue_size', '==',
0))
tasks.append(
self.cluster.async_wait_for_stats([server], bucket, '',
'ep_flusher_todo', '==',
0))
for task in tasks:
task.result()
"""Verifies data on all of the nodes in a cluster.
Verifies all of the data in a specific kv_store index for all buckets in
the cluster.
Args:
server - A server in the cluster. (TestInputServer)
kv_store - The kv store index to check. (int)
"""
def _verify_all_buckets(self,
server,
kv_store=1,
timeout=180,
max_verify=None,
only_store_hash=True,
batch_size=1000):
tasks = []
for bucket in self.buckets:
tasks.append(
self.cluster.async_verify_data(server, bucket,
bucket.kvs[kv_store],
max_verify, only_store_hash,
batch_size))
for task in tasks:
task.result(timeout)
def disable_compaction(self, server=None, bucket="default"):
server = server or self.servers[0]
new_config = {
"viewFragmntThresholdPercentage": None,
"dbFragmentThresholdPercentage": None,
"dbFragmentThreshold": None,
"viewFragmntThreshold": None
}
self.cluster.modify_fragmentation_config(server, new_config, bucket)
def async_create_views(self,
server,
design_doc_name,
views,
bucket="default",
with_query=True):
tasks = []
if len(views):
for view in views:
t_ = self.cluster.async_create_view(server, design_doc_name,
view, bucket, with_query)
tasks.append(t_)
else:
t_ = self.cluster.async_create_view(server, design_doc_name, None,
bucket, with_query)
tasks.append(t_)
return tasks
def create_views(self,
server,
design_doc_name,
views,
bucket="default",
timeout=None):
if len(views):
for view in views:
self.cluster.create_view(server, design_doc_name, view, bucket,
timeout)
else:
self.cluster.create_view(server, design_doc_name, None, bucket,
timeout)
def make_default_views(self, prefix, count, is_dev_ddoc=False):
ref_view = self.default_view
ref_view.name = (prefix, ref_view.name)[prefix is None]
return [
View(ref_view.name + str(i), ref_view.map_func, None, is_dev_ddoc)
for i in xrange(count)
]
def _load_doc_data_all_buckets(self, data_op="create", batch_size=1000):
#initialize the template for document generator
age = range(5)
first = ['james', 'sharon']
template = '{{ "age": {0}, "first_name": "{1}" }}'
gen_load = DocumentGenerator('test_docs',
template,
age,
first,
start=0,
end=self.num_items)
self.log.info("%s %s documents..." % (data_op, self.num_items))
self._load_all_buckets(self.master,
gen_load,
data_op,
0,
batch_size=batch_size)
def verify_cluster_stats(self, servers=None, master=None, max_verify=None):
if servers is None:
servers = self.servers
if master is None:
master = self.master
if max_verify is None:
max_verify = self.max_verify
self._wait_for_stats_all_buckets(servers)
self._verify_all_buckets(master, max_verify=max_verify)
self._verify_stats_all_buckets(servers)
#verify that curr_items_tot corresponds to sum of curr_items from all nodes
verified = True
for bucket in self.buckets:
verified &= RebalanceHelper.wait_till_total_numbers_match(
master, bucket)
self.assertTrue(
verified,
"Lost items!!! Replication was completed but sum(curr_items) don't match the curr_items_total"
)
class BaseTestCase(unittest.TestCase):
def setUp(self):
self.log = logger.Logger.get_logger()
self.input = TestInputSingleton.input
self.servers = self.input.servers
self.buckets = []
self.master = self.servers[0]
self.cluster = Cluster()
self.wait_timeout = self.input.param("wait_timeout", 60)
#number of case that is performed from testrunner( increment each time)
self.case_number = self.input.param("case_number", 0)
self.default_bucket = self.input.param("default_bucket", True)
if self.default_bucket:
self.default_bucket_name = "default"
self.standard_buckets = self.input.param("standard_buckets", 0)
self.sasl_buckets = self.input.param("sasl_buckets", 0)
self.total_buckets = self.sasl_buckets + self.default_bucket + self.standard_buckets
self.num_servers = self.input.param("servers", len(self.servers))
self.num_replicas = self.input.param("replicas", 1)
self.num_items = self.input.param("items", 1000)
self.dgm_run = self.input.param("dgm_run", False)
#max items number to verify in ValidateDataTask, None - verify all
self.max_verify = self.input.param("max_verify", None)
#we don't change consistent_view on server by default
self.disabled_consistent_view = self.input.param("disabled_consistent_view", None)
self.log.info("============== basetestcase setup was started for test #{0} {1}=============="\
.format(self.case_number, self._testMethodName))
#avoid clean up if the previous test has been tear down
if not self.input.param("skip_cleanup", True) or self.case_number == 1:
self.tearDown()
self.cluster = Cluster()
self.quota = self._initialize_nodes(self.cluster, self.servers, self.disabled_consistent_view)
if self.dgm_run:
self.quota = 256
if self.total_buckets > 0:
self.bucket_size = self._get_bucket_size(self.quota, self.total_buckets)
if self.default_bucket:
self.cluster.create_default_bucket(self.master, self.bucket_size, self.num_replicas)
self.buckets.append(Bucket(name="default", authType="sasl", saslPassword="",
num_replicas=self.num_replicas, bucket_size=self.bucket_size))
self._create_sasl_buckets(self.master, self.sasl_buckets)
self._create_standard_buckets(self.master, self.standard_buckets)
self.log.info("============== basetestcase setup was finished for test #{0} {1} =============="\
.format(self.case_number, self._testMethodName))
self._log_start(self)
def tearDown(self):
if not self.input.param("skip_cleanup", False):
try:
self.log.info("============== basetestcase cleanup was started for test #{0} {1} =============="\
.format(self.case_number, self._testMethodName))
rest = RestConnection(self.master)
alerts = rest.get_alerts()
if alerts is not None and len(alerts) != 0:
self.log.warn("Alerts were found: {0}".format(alerts))
if rest._rebalance_progress_status() == 'running':
self.log.warning("rebalancing is still running, test should be verified")
stopped = rest.stop_rebalance()
self.assertTrue(stopped, msg="unable to stop rebalance")
BucketOperationHelper.delete_all_buckets_or_assert(self.servers, self)
ClusterOperationHelper.cleanup_cluster(self.servers)
time.sleep(10)
ClusterOperationHelper.wait_for_ns_servers_or_assert(self.servers, self)
self.log.info("============== basetestcase cleanup was finished for test #{0} {1} =============="\
.format(self.case_number, self._testMethodName))
finally:
#stop all existing task manager threads
self.cluster.shutdown()
self._log_finish(self)
@staticmethod
def _log_start(self):
try:
msg = "{0} : {1} started ".format(datetime.datetime.now(), self._testMethodName)
RestConnection(self.servers[0]).log_client_error(msg)
except:
pass
@staticmethod
def _log_finish(self):
try:
msg = "{0} : {1} finished ".format(datetime.datetime.now(), self._testMethodName)
RestConnection(self.servers[0]).log_client_error(msg)
except:
pass
def _initialize_nodes(self, cluster, servers, disabled_consistent_view=None):
quota = 0
init_tasks = []
for server in servers:
init_tasks.append(cluster.async_init_node(server, disabled_consistent_view))
for task in init_tasks:
node_quota = task.result()
if node_quota < quota or quota == 0:
quota = node_quota
return quota
def _get_bucket_size(self, quota, num_buckets, ratio=2.0 / 3.0):
ip = self.servers[0]
for server in self.servers:
if server.ip == ip:
return int(ratio / float(self.num_servers) / float(num_buckets) * float(quota))
return int(ratio / float(num_buckets) * float(quota))
def _create_sasl_buckets(self, server, num_buckets):
bucket_tasks = []
for i in range(num_buckets):
name = 'bucket' + str(i)
bucket_tasks.append(self.cluster.async_create_sasl_bucket(server, name,
'password',
self.bucket_size,
self.num_replicas))
self.buckets.append(Bucket(name=name, authType="sasl", saslPassword='******',
num_replicas=self.num_replicas, bucket_size=self.bucket_size));
for task in bucket_tasks:
task.result()
def _create_standard_buckets(self, server, num_buckets):
bucket_tasks = []
for i in range(num_buckets):
name = 'standard_bucket' + str(i)
bucket_tasks.append(self.cluster.async_create_standard_bucket(server, name,
11214 + i,
self.bucket_size,
self.num_replicas))
self.buckets.append(Bucket(name=name, authType=None, saslPassword=None, num_replicas=self.num_replicas,
bucket_size=self.bucket_size, port=11214 + i));
for task in bucket_tasks:
task.result()
def _all_buckets_delete(self, server):
delete_tasks = []
for bucket in self.buckets:
delete_tasks.append(self.cluster.async_bucket_delete(server, bucket.name))
for task in delete_tasks:
task.result()
self.buckets = []
def _verify_stats_all_buckets(self, servers):
stats_tasks = []
for bucket in self.buckets:
items = sum([len(kv_store) for kv_store in bucket.kvs.values()])
stats_tasks.append(self.cluster.async_wait_for_stats(servers, bucket, '',
'curr_items', '==', items))
stats_tasks.append(self.cluster.async_wait_for_stats(servers, bucket, '',
'vb_active_curr_items', '==', items))
available_replicas = self.num_replicas
if len(servers) == self.num_replicas:
available_replicas = len(servers) - 1
elif len(servers) <= self.num_replicas:
available_replicas = len(servers) - 1
stats_tasks.append(self.cluster.async_wait_for_stats(servers, bucket, '',
'vb_replica_curr_items', '==', items * available_replicas))
stats_tasks.append(self.cluster.async_wait_for_stats(servers, bucket, '',
'curr_items_tot', '==', items * (available_replicas + 1)))
for task in stats_tasks:
task.result(60)
"""Asynchronously applys load generation to all bucekts in the cluster.
bucket.name, gen,
bucket.kvs[kv_store],
op_type, exp
Args:
server - A server in the cluster. (TestInputServer)
kv_gen - The generator to use to generate load. (DocumentGenerator)
op_type - "create", "read", "update", or "delete" (String)
exp - The expiration for the items if updated or created (int)
kv_store - The index of the bucket's kv_store to use. (int)
Returns:
A list of all of the tasks created.
"""
def _async_load_all_buckets(self, server, kv_gen, op_type, exp, kv_store=1, flag=0, only_store_hash=True, batch_size=1, pause_secs=1, timeout_secs=30):
tasks = []
for bucket in self.buckets:
gen = copy.deepcopy(kv_gen)
tasks.append(self.cluster.async_load_gen_docs(server, bucket.name, gen,
bucket.kvs[kv_store],
op_type, exp, flag, only_store_hash, batch_size, pause_secs, timeout_secs))
return tasks
"""Synchronously applys load generation to all bucekts in the cluster.
Args:
server - A server in the cluster. (TestInputServer)
kv_gen - The generator to use to generate load. (DocumentGenerator)
op_type - "create", "read", "update", or "delete" (String)
exp - The expiration for the items if updated or created (int)
kv_store - The index of the bucket's kv_store to use. (int)
"""
def _load_all_buckets(self, server, kv_gen, op_type, exp, kv_store=1, flag=0, only_store_hash=True, batch_size=1, pause_secs=1, timeout_secs=30):
tasks = self._async_load_all_buckets(server, kv_gen, op_type, exp, kv_store, flag, only_store_hash, batch_size, pause_secs, timeout_secs)
for task in tasks:
task.result()
"""Waits for queues to drain on all servers and buckets in a cluster.
A utility function that waits for all of the items loaded to be persisted
and replicated.
Args:
servers - A list of all of the servers in the cluster. ([TestInputServer])
"""
def _wait_for_stats_all_buckets(self, servers):
tasks = []
for server in servers:
for bucket in self.buckets:
tasks.append(self.cluster.async_wait_for_stats([server], bucket, '',
'ep_queue_size', '==', 0))
tasks.append(self.cluster.async_wait_for_stats([server], bucket, '',
'ep_flusher_todo', '==', 0))
for task in tasks:
task.result()
"""Verifies data on all of the nodes in a cluster.
Verifies all of the data in a specific kv_store index for all buckets in
the cluster.
Args:
server - A server in the cluster. (TestInputServer)
kv_store - The kv store index to check. (int)
"""
def _verify_all_buckets(self, server, kv_store=1, timeout=180, max_verify=None, only_store_hash=True, batch_size=1):
tasks = []
for bucket in self.buckets:
tasks.append(self.cluster.async_verify_data(server, bucket, bucket.kvs[kv_store], max_verify, only_store_hash, batch_size))
for task in tasks:
task.result(timeout)
def disable_compaction(self, server=None, bucket="default"):
server = server or self.servers[0]
new_config = {"viewFragmntThresholdPercentage" : None,
"dbFragmentThresholdPercentage" : None,
"dbFragmentThreshold" : None,
"viewFragmntThreshold" : None}
self.cluster.modify_fragmentation_config(server, new_config, bucket)
def async_create_views(self, server, design_doc_name, views, bucket="default"):
tasks = []
if len(views):
for view in views:
t_ = self.cluster.async_create_view(server, design_doc_name, view, bucket)
tasks.append(t_)
else:
t_ = self.cluster.async_create_view(server, design_doc_name, None, bucket)
tasks.append(t_)
return tasks
def create_views(self, server, design_doc_name, views, bucket="default", timeout=None):
if len(views):
for view in views:
self.cluster.create_view(server, design_doc_name, view, bucket, timeout)
else:
self.cluster.create_view(server, design_doc_name, None, bucket, timeout)
def make_default_views(self, prefix, count, is_dev_ddoc=False):
ref_view = self.default_view
ref_view.name = (prefix, ref_view.name)[prefix is None]
return [View(ref_view.name + str(i), ref_view.map_func, None, is_dev_ddoc) for i in xrange(count)]
def _load_doc_data_all_buckets(self, data_op="create"):
#initialize the template for document generator
age = range(5)
first = ['james', 'sharon']
template = '{{ "age": {0}, "first_name": "{1}" }}'
gen_load = DocumentGenerator('test_docs', template, age, first, start=0, end=self.num_items)
self.log.info("%s %s documents..." % (data_op, self.num_items))
self._load_all_buckets(self.master, gen_load, data_op, 0)
#returns true if warmup is completed in wait_time sec,
#otherwise return false
@staticmethod
def _wait_warmup_completed(self, servers, bucket_name, wait_time=300):
warmed_up = False
log = logger.Logger.get_logger()
for server in servers:
mc = None
start = time.time()
# Try to get the stats for 5 minutes, else hit out.
while time.time() - start < wait_time:
# Get the wamrup time for each server
try:
mc = MemcachedClientHelper.direct_client(server, bucket_name)
stats = mc.stats()
if stats is not None:
warmup_time = int(stats["ep_warmup_time"])
log.info("ep_warmup_time is %s " % warmup_time)
log.info(
"Collected the stats %s for server %s:%s" % (stats["ep_warmup_time"], server.ip,
server.port))
break
else:
log.info(" Did not get the stats from the server yet, trying again.....")
time.sleep(2)
except Exception as e:
log.error(
"Could not get warmup_time stats from server %s:%s, exception %s" % (server.ip,
server.port, e))
else:
self.fail(
"Fail! Unable to get the warmup-stats from server %s:%s after trying for %s seconds." % (
server.ip, server.port, wait_time))
# Waiting for warm-up
start = time.time()
warmed_up = False
while time.time() - start < wait_time and not warmed_up:
if mc.stats()["ep_warmup_thread"] == "complete":
log.info("warmup completed, awesome!!! Warmed up. %s items " % (mc.stats()["curr_items_tot"]))
warmed_up = True
continue
elif mc.stats()["ep_warmup_thread"] == "running":
log.info(
"still warming up .... curr_items_tot : %s" % (mc.stats()["curr_items_tot"]))
else:
fail("Value of ep warmup thread does not exist, exiting from this server")
time.sleep(5)
mc.close()
return warmed_up
class BaseTestCase(unittest.TestCase):
def setUp(self):
self.log = logger.Logger.get_logger()
self.input = TestInputSingleton.input
self.servers = self.input.servers
self.buckets = []
self.master = self.servers[0]
self.cluster = Cluster()
self.wait_timeout = self.input.param("wait_timeout", 60)
#number of case that is performed from testrunner( increment each time)
self.case_number = self.input.param("case_number", 0)
self.default_bucket = self.input.param("default_bucket", True)
if self.default_bucket:
self.default_bucket_name = "default"
self.standard_buckets = self.input.param("standard_buckets", 0)
self.sasl_buckets = self.input.param("sasl_buckets", 0)
self.total_buckets = self.sasl_buckets + self.default_bucket + self.standard_buckets
self.num_servers = self.input.param("servers", len(self.servers))
self.num_replicas = self.input.param("replicas", 1)
self.num_items = self.input.param("items", 1000)
self.dgm_run = self.input.param("dgm_run", False)
#max items number to verify in ValidateDataTask, None - verify all
self.max_verify = self.input.param("max_verify", None)
#we don't change consistent_view on server by default
self.disabled_consistent_view = self.input.param(
"disabled_consistent_view", None)
self.log.info("============== basetestcase setup was started for test #{0} {1}=============="\
.format(self.case_number, self._testMethodName))
#avoid clean up if the previous test has been tear down
if not self.input.param("skip_cleanup", True) or self.case_number == 1:
self.tearDown()
self.cluster = Cluster()
self.quota = self._initialize_nodes(self.cluster, self.servers,
self.disabled_consistent_view)
if self.dgm_run:
self.quota = 256
if self.total_buckets > 0:
self.bucket_size = self._get_bucket_size(self.quota,
self.total_buckets)
if self.default_bucket:
self.cluster.create_default_bucket(self.master, self.bucket_size,
self.num_replicas)
self.buckets.append(
Bucket(name="default",
authType="sasl",
saslPassword="",
num_replicas=self.num_replicas,
bucket_size=self.bucket_size))
self._create_sasl_buckets(self.master, self.sasl_buckets)
self._create_standard_buckets(self.master, self.standard_buckets)
self.log.info("============== basetestcase setup was finished for test #{0} {1} =============="\
.format(self.case_number, self._testMethodName))
self._log_start(self)
def tearDown(self):
if not self.input.param("skip_cleanup", False):
try:
self.log.info("============== basetestcase cleanup was started for test #{0} {1} =============="\
.format(self.case_number, self._testMethodName))
rest = RestConnection(self.master)
alerts = rest.get_alerts()
if alerts is not None and len(alerts) != 0:
self.log.warn("Alerts were found: {0}".format(alerts))
if rest._rebalance_progress_status() == 'running':
self.log.warning(
"rebalancing is still running, test should be verified"
)
stopped = rest.stop_rebalance()
self.assertTrue(stopped, msg="unable to stop rebalance")
BucketOperationHelper.delete_all_buckets_or_assert(
self.servers, self)
ClusterOperationHelper.cleanup_cluster(self.servers)
time.sleep(10)
ClusterOperationHelper.wait_for_ns_servers_or_assert(
self.servers, self)
self.log.info("============== basetestcase cleanup was finished for test #{0} {1} =============="\
.format(self.case_number, self._testMethodName))
finally:
#stop all existing task manager threads
self.cluster.shutdown()
self._log_finish(self)
@staticmethod
def _log_start(self):
try:
msg = "{0} : {1} started ".format(datetime.datetime.now(),
self._testMethodName)
RestConnection(self.servers[0]).log_client_error(msg)
except:
pass
@staticmethod
def _log_finish(self):
try:
msg = "{0} : {1} finished ".format(datetime.datetime.now(),
self._testMethodName)
RestConnection(self.servers[0]).log_client_error(msg)
except:
pass
def _initialize_nodes(self,
cluster,
servers,
disabled_consistent_view=None):
quota = 0
init_tasks = []
for server in servers:
init_tasks.append(
cluster.async_init_node(server, disabled_consistent_view))
for task in init_tasks:
node_quota = task.result()
if node_quota < quota or quota == 0:
quota = node_quota
return quota
def _get_bucket_size(self, quota, num_buckets, ratio=2.0 / 3.0):
ip = self.servers[0]
for server in self.servers:
if server.ip == ip:
return int(ratio / float(self.num_servers) /
float(num_buckets) * float(quota))
return int(ratio / float(num_buckets) * float(quota))
def _create_sasl_buckets(self, server, num_buckets):
bucket_tasks = []
for i in range(num_buckets):
name = 'bucket' + str(i)
bucket_tasks.append(
self.cluster.async_create_sasl_bucket(server, name, 'password',
self.bucket_size,
self.num_replicas))
self.buckets.append(
Bucket(name=name,
authType="sasl",
saslPassword='******',
num_replicas=self.num_replicas,
bucket_size=self.bucket_size))
for task in bucket_tasks:
task.result()
def _create_standard_buckets(self, server, num_buckets):
bucket_tasks = []
for i in range(num_buckets):
name = 'standard_bucket' + str(i)
bucket_tasks.append(
self.cluster.async_create_standard_bucket(
server, name, 11214 + i, self.bucket_size,
self.num_replicas))
self.buckets.append(
Bucket(name=name,
authType=None,
saslPassword=None,
num_replicas=self.num_replicas,
bucket_size=self.bucket_size,
port=11214 + i))
for task in bucket_tasks:
task.result()
def _all_buckets_delete(self, server):
delete_tasks = []
for bucket in self.buckets:
delete_tasks.append(
self.cluster.async_bucket_delete(server, bucket.name))
for task in delete_tasks:
task.result()
self.buckets = []
def _verify_stats_all_buckets(self, servers):
stats_tasks = []
for bucket in self.buckets:
items = sum([len(kv_store) for kv_store in bucket.kvs.values()])
stats_tasks.append(
self.cluster.async_wait_for_stats(servers, bucket, '',
'curr_items', '==', items))
stats_tasks.append(
self.cluster.async_wait_for_stats(servers, bucket, '',
'vb_active_curr_items', '==',
items))
available_replicas = self.num_replicas
if len(servers) == self.num_replicas:
available_replicas = len(servers) - 1
elif len(servers) <= self.num_replicas:
available_replicas = len(servers) - 1
stats_tasks.append(
self.cluster.async_wait_for_stats(servers, bucket, '',
'vb_replica_curr_items',
'==',
items * available_replicas))
stats_tasks.append(
self.cluster.async_wait_for_stats(
servers, bucket, '', 'curr_items_tot', '==',
items * (available_replicas + 1)))
for task in stats_tasks:
task.result(60)
"""Asynchronously applys load generation to all bucekts in the cluster.
bucket.name, gen,
bucket.kvs[kv_store],
op_type, exp
Args:
server - A server in the cluster. (TestInputServer)
kv_gen - The generator to use to generate load. (DocumentGenerator)
op_type - "create", "read", "update", or "delete" (String)
exp - The expiration for the items if updated or created (int)
kv_store - The index of the bucket's kv_store to use. (int)
Returns:
A list of all of the tasks created.
"""
def _async_load_all_buckets(self,
server,
kv_gen,
op_type,
exp,
kv_store=1,
flag=0,
only_store_hash=True,
batch_size=1,
pause_secs=1,
timeout_secs=30):
tasks = []
for bucket in self.buckets:
gen = copy.deepcopy(kv_gen)
tasks.append(
self.cluster.async_load_gen_docs(server, bucket.name, gen,
bucket.kvs[kv_store], op_type,
exp, flag, only_store_hash,
batch_size, pause_secs,
timeout_secs))
return tasks
"""Synchronously applys load generation to all bucekts in the cluster.
Args:
server - A server in the cluster. (TestInputServer)
kv_gen - The generator to use to generate load. (DocumentGenerator)
op_type - "create", "read", "update", or "delete" (String)
exp - The expiration for the items if updated or created (int)
kv_store - The index of the bucket's kv_store to use. (int)
"""
def _load_all_buckets(self,
server,
kv_gen,
op_type,
exp,
kv_store=1,
flag=0,
only_store_hash=True,
batch_size=1,
pause_secs=1,
timeout_secs=30):
tasks = self._async_load_all_buckets(server, kv_gen, op_type, exp,
kv_store, flag, only_store_hash,
batch_size, pause_secs,
timeout_secs)
for task in tasks:
task.result()
"""Waits for queues to drain on all servers and buckets in a cluster.
A utility function that waits for all of the items loaded to be persisted
and replicated.
Args:
servers - A list of all of the servers in the cluster. ([TestInputServer])
"""
def _wait_for_stats_all_buckets(self, servers):
tasks = []
for server in servers:
for bucket in self.buckets:
tasks.append(
self.cluster.async_wait_for_stats([server], bucket, '',
'ep_queue_size', '==',
0))
tasks.append(
self.cluster.async_wait_for_stats([server], bucket, '',
'ep_flusher_todo', '==',
0))
for task in tasks:
task.result()
"""Verifies data on all of the nodes in a cluster.
Verifies all of the data in a specific kv_store index for all buckets in
the cluster.
Args:
server - A server in the cluster. (TestInputServer)
kv_store - The kv store index to check. (int)
"""
def _verify_all_buckets(self,
server,
kv_store=1,
timeout=180,
max_verify=None,
only_store_hash=True,
batch_size=1):
tasks = []
for bucket in self.buckets:
tasks.append(
self.cluster.async_verify_data(server, bucket,
bucket.kvs[kv_store],
max_verify, only_store_hash,
batch_size))
for task in tasks:
task.result(timeout)
def disable_compaction(self, server=None, bucket="default"):
server = server or self.servers[0]
new_config = {
"viewFragmntThresholdPercentage": None,
"dbFragmentThresholdPercentage": None,
"dbFragmentThreshold": None,
"viewFragmntThreshold": None
}
self.cluster.modify_fragmentation_config(server, new_config, bucket)
def async_create_views(self,
server,
design_doc_name,
views,
bucket="default"):
tasks = []
if len(views):
for view in views:
t_ = self.cluster.async_create_view(server, design_doc_name,
view, bucket)
tasks.append(t_)
else:
t_ = self.cluster.async_create_view(server, design_doc_name, None,
bucket)
tasks.append(t_)
return tasks
def create_views(self,
server,
design_doc_name,
views,
bucket="default",
timeout=None):
if len(views):
for view in views:
self.cluster.create_view(server, design_doc_name, view, bucket,
timeout)
else:
self.cluster.create_view(server, design_doc_name, None, bucket,
timeout)
def make_default_views(self, prefix, count, is_dev_ddoc=False):
ref_view = self.default_view
ref_view.name = (prefix, ref_view.name)[prefix is None]
return [
View(ref_view.name + str(i), ref_view.map_func, None, is_dev_ddoc)
for i in xrange(count)
]
def _load_doc_data_all_buckets(self, data_op="create"):
#initialize the template for document generator
age = range(5)
first = ['james', 'sharon']
template = '{{ "age": {0}, "first_name": "{1}" }}'
gen_load = DocumentGenerator('test_docs',
template,
age,
first,
start=0,
end=self.num_items)
self.log.info("%s %s documents..." % (data_op, self.num_items))
self._load_all_buckets(self.master, gen_load, data_op, 0)
#returns true if warmup is completed in wait_time sec,
#otherwise return false
@staticmethod
def _wait_warmup_completed(self, servers, bucket_name, wait_time=300):
warmed_up = False
log = logger.Logger.get_logger()
for server in servers:
mc = None
start = time.time()
# Try to get the stats for 5 minutes, else hit out.
while time.time() - start < wait_time:
# Get the wamrup time for each server
try:
mc = MemcachedClientHelper.direct_client(
server, bucket_name)
stats = mc.stats()
if stats is not None:
warmup_time = int(stats["ep_warmup_time"])
log.info("ep_warmup_time is %s " % warmup_time)
log.info(
"Collected the stats %s for server %s:%s" %
(stats["ep_warmup_time"], server.ip, server.port))
break
else:
log.info(
" Did not get the stats from the server yet, trying again....."
)
time.sleep(2)
except Exception as e:
log.error(
"Could not get warmup_time stats from server %s:%s, exception %s"
% (server.ip, server.port, e))
else:
self.fail(
"Fail! Unable to get the warmup-stats from server %s:%s after trying for %s seconds."
% (server.ip, server.port, wait_time))
# Waiting for warm-up
start = time.time()
warmed_up = False
while time.time() - start < wait_time and not warmed_up:
if mc.stats()["ep_warmup_thread"] == "complete":
log.info(
"warmup completed, awesome!!! Warmed up. %s items " %
(mc.stats()["curr_items_tot"]))
warmed_up = True
continue
elif mc.stats()["ep_warmup_thread"] == "running":
log.info("still warming up .... curr_items_tot : %s" %
(mc.stats()["curr_items_tot"]))
else:
fail(
"Value of ep warmup thread does not exist, exiting from this server"
)
time.sleep(5)
mc.close()
return warmed_up
class BaseTestCase(unittest.TestCase):
def setUp(self):
self.log = logger.Logger.get_logger()
self.input = TestInputSingleton.input
self.servers = self.input.servers
self.buckets = []
self.master = self.servers[0]
self.cluster = Cluster()
self.wait_timeout = self.input.param("wait_timeout", 60)
#number of case that is performed from testrunner( increment each time)
self.case_number = self.input.param("case_number", 0)
self.default_bucket = self.input.param("default_bucket", True)
if self.default_bucket:
self.default_bucket_name = "default"
self.standard_buckets = self.input.param("standard_buckets", 0)
self.sasl_buckets = self.input.param("sasl_buckets", 0)
self.total_buckets = self.sasl_buckets + self.default_bucket + self.standard_buckets
self.num_servers = self.input.param("servers", len(self.servers))
#initial number of items in the cluster
self.nodes_init = self.input.param("nodes_init", 1)
self.num_replicas = self.input.param("replicas", 1)
self.num_items = self.input.param("items", 1000)
self.dgm_run = self.input.param("dgm_run", False)
#max items number to verify in ValidateDataTask, None - verify all
self.max_verify = self.input.param("max_verify", None)
#we don't change consistent_view on server by default
self.disabled_consistent_view = self.input.param("disabled_consistent_view", None)
self.log.info("============== basetestcase setup was started for test #{0} {1}=============="\
.format(self.case_number, self._testMethodName))
#avoid clean up if the previous test has been tear down
if not self.input.param("skip_cleanup", True) or self.case_number == 1:
self.tearDown()
self.cluster = Cluster()
if str(self.__class__).find('rebalanceout.RebalanceOutTests') != -1:
#rebalance all nodes into the cluster before each test
self.cluster.rebalance(self.servers[:self.num_servers], self.servers[1:self.num_servers], [])
elif self.nodes_init > 1:
self.cluster.rebalance(self.servers[:1], self.servers[1:self.nodes_init], [])
self.quota = self._initialize_nodes(self.cluster, self.servers, self.disabled_consistent_view)
if self.dgm_run:
self.quota = 256
if self.total_buckets > 0:
self.bucket_size = self._get_bucket_size(self.quota, self.total_buckets)
if self.default_bucket:
self.cluster.create_default_bucket(self.master, self.bucket_size, self.num_replicas)
self.buckets.append(Bucket(name="default", authType="sasl", saslPassword="",
num_replicas=self.num_replicas, bucket_size=self.bucket_size))
self._create_sasl_buckets(self.master, self.sasl_buckets)
self._create_standard_buckets(self.master, self.standard_buckets)
self.log.info("============== basetestcase setup was finished for test #{0} {1} =============="\
.format(self.case_number, self._testMethodName))
self._log_start(self)
def tearDown(self):
try:
if (hasattr(self, '_resultForDoCleanups') and len(self._resultForDoCleanups.failures) > 0 \
and TestInputSingleton.input.param("stop-on-failure", False))\
or self.input.param("skip_cleanup", False):
self.log.warn("CLEANUP WAS SKIPPED")
else:
self.log.info("============== basetestcase cleanup was started for test #{0} {1} =============="\
.format(self.case_number, self._testMethodName))
rest = RestConnection(self.master)
alerts = rest.get_alerts()
if alerts is not None and len(alerts) != 0:
self.log.warn("Alerts were found: {0}".format(alerts))
if rest._rebalance_progress_status() == 'running':
self.log.warning("rebalancing is still running, test should be verified")
stopped = rest.stop_rebalance()
self.assertTrue(stopped, msg="unable to stop rebalance")
BucketOperationHelper.delete_all_buckets_or_assert(self.servers, self)
ClusterOperationHelper.cleanup_cluster(self.servers)
time.sleep(10)
ClusterOperationHelper.wait_for_ns_servers_or_assert(self.servers, self)
self.log.info("============== basetestcase cleanup was finished for test #{0} {1} =============="\
.format(self.case_number, self._testMethodName))
finally:
#stop all existing task manager threads
self.cluster.shutdown()
self._log_finish(self)
@staticmethod
def _log_start(self):
try:
msg = "{0} : {1} started ".format(datetime.datetime.now(), self._testMethodName)
RestConnection(self.servers[0]).log_client_error(msg)
except:
pass
@staticmethod
def _log_finish(self):
try:
msg = "{0} : {1} finished ".format(datetime.datetime.now(), self._testMethodName)
RestConnection(self.servers[0]).log_client_error(msg)
except:
pass
def _initialize_nodes(self, cluster, servers, disabled_consistent_view=None):
quota = 0
init_tasks = []
for server in servers:
init_tasks.append(cluster.async_init_node(server, disabled_consistent_view))
for task in init_tasks:
node_quota = task.result()
if node_quota < quota or quota == 0:
quota = node_quota
return quota
def _get_bucket_size(self, quota, num_buckets, ratio=2.0 / 3.0):
ip = self.servers[0]
for server in self.servers:
if server.ip == ip:
return int(ratio / float(self.num_servers) / float(num_buckets) * float(quota))
return int(ratio / float(num_buckets) * float(quota))
def _create_sasl_buckets(self, server, num_buckets):
bucket_tasks = []
for i in range(num_buckets):
name = 'bucket' + str(i)
bucket_tasks.append(self.cluster.async_create_sasl_bucket(server, name,
'password',
self.bucket_size,
self.num_replicas))
self.buckets.append(Bucket(name=name, authType="sasl", saslPassword='******',
num_replicas=self.num_replicas, bucket_size=self.bucket_size));
for task in bucket_tasks:
task.result()
def _create_standard_buckets(self, server, num_buckets):
bucket_tasks = []
for i in range(num_buckets):
name = 'standard_bucket' + str(i)
bucket_tasks.append(self.cluster.async_create_standard_bucket(server, name,
11214 + i,
self.bucket_size,
self.num_replicas))
self.buckets.append(Bucket(name=name, authType=None, saslPassword=None, num_replicas=self.num_replicas,
bucket_size=self.bucket_size, port=11214 + i));
for task in bucket_tasks:
task.result()
def _all_buckets_delete(self, server):
delete_tasks = []
for bucket in self.buckets:
delete_tasks.append(self.cluster.async_bucket_delete(server, bucket.name))
for task in delete_tasks:
task.result()
self.buckets = []
def _verify_stats_all_buckets(self, servers):
stats_tasks = []
for bucket in self.buckets:
items = sum([len(kv_store) for kv_store in bucket.kvs.values()])
stats_tasks.append(self.cluster.async_wait_for_stats(servers, bucket, '',
'curr_items', '==', items))
stats_tasks.append(self.cluster.async_wait_for_stats(servers, bucket, '',
'vb_active_curr_items', '==', items))
available_replicas = self.num_replicas
if len(servers) == self.num_replicas:
available_replicas = len(servers) - 1
elif len(servers) <= self.num_replicas:
available_replicas = len(servers) - 1
stats_tasks.append(self.cluster.async_wait_for_stats(servers, bucket, '',
'vb_replica_curr_items', '==', items * available_replicas))
stats_tasks.append(self.cluster.async_wait_for_stats(servers, bucket, '',
'curr_items_tot', '==', items * (available_replicas + 1)))
for task in stats_tasks:
task.result(60)
"""Asynchronously applys load generation to all bucekts in the cluster.
bucket.name, gen,
bucket.kvs[kv_store],
op_type, exp
Args:
server - A server in the cluster. (TestInputServer)
kv_gen - The generator to use to generate load. (DocumentGenerator)
op_type - "create", "read", "update", or "delete" (String)
exp - The expiration for the items if updated or created (int)
kv_store - The index of the bucket's kv_store to use. (int)
Returns:
A list of all of the tasks created.
"""
def _async_load_all_buckets(self, server, kv_gen, op_type, exp, kv_store=1, flag=0, only_store_hash=True, batch_size=1, pause_secs=1, timeout_secs=30):
tasks = []
for bucket in self.buckets:
gen = copy.deepcopy(kv_gen)
tasks.append(self.cluster.async_load_gen_docs(server, bucket.name, gen,
bucket.kvs[kv_store],
op_type, exp, flag, only_store_hash, batch_size, pause_secs, timeout_secs))
return tasks
"""Synchronously applys load generation to all bucekts in the cluster.
Args:
server - A server in the cluster. (TestInputServer)
kv_gen - The generator to use to generate load. (DocumentGenerator)
op_type - "create", "read", "update", or "delete" (String)
exp - The expiration for the items if updated or created (int)
kv_store - The index of the bucket's kv_store to use. (int)
"""
def _load_all_buckets(self, server, kv_gen, op_type, exp, kv_store=1, flag=0, only_store_hash=True, batch_size=1000, pause_secs=1, timeout_secs=30):
tasks = self._async_load_all_buckets(server, kv_gen, op_type, exp, kv_store, flag, only_store_hash, batch_size, pause_secs, timeout_secs)
for task in tasks:
task.result()
"""Waits for queues to drain on all servers and buckets in a cluster.
A utility function that waits for all of the items loaded to be persisted
and replicated.
Args:
servers - A list of all of the servers in the cluster. ([TestInputServer])
"""
def _wait_for_stats_all_buckets(self, servers):
tasks = []
for server in servers:
for bucket in self.buckets:
tasks.append(self.cluster.async_wait_for_stats([server], bucket, '',
'ep_queue_size', '==', 0))
tasks.append(self.cluster.async_wait_for_stats([server], bucket, '',
'ep_flusher_todo', '==', 0))
for task in tasks:
task.result()
"""Verifies data on all of the nodes in a cluster.
Verifies all of the data in a specific kv_store index for all buckets in
the cluster.
Args:
server - A server in the cluster. (TestInputServer)
kv_store - The kv store index to check. (int)
"""
def _verify_all_buckets(self, server, kv_store=1, timeout=180, max_verify=None, only_store_hash=True, batch_size=1000):
tasks = []
for bucket in self.buckets:
tasks.append(self.cluster.async_verify_data(server, bucket, bucket.kvs[kv_store], max_verify, only_store_hash, batch_size))
for task in tasks:
task.result(timeout)
def disable_compaction(self, server=None, bucket="default"):
server = server or self.servers[0]
new_config = {"viewFragmntThresholdPercentage" : None,
"dbFragmentThresholdPercentage" : None,
"dbFragmentThreshold" : None,
"viewFragmntThreshold" : None}
self.cluster.modify_fragmentation_config(server, new_config, bucket)
def async_create_views(self, server, design_doc_name, views, bucket="default", with_query=True):
tasks = []
if len(views):
for view in views:
t_ = self.cluster.async_create_view(server, design_doc_name, view, bucket, with_query)
tasks.append(t_)
else:
t_ = self.cluster.async_create_view(server, design_doc_name, None, bucket, with_query)
tasks.append(t_)
return tasks
def create_views(self, server, design_doc_name, views, bucket="default", timeout=None):
if len(views):
for view in views:
self.cluster.create_view(server, design_doc_name, view, bucket, timeout)
else:
self.cluster.create_view(server, design_doc_name, None, bucket, timeout)
def make_default_views(self, prefix, count, is_dev_ddoc=False):
ref_view = self.default_view
ref_view.name = (prefix, ref_view.name)[prefix is None]
return [View(ref_view.name + str(i), ref_view.map_func, None, is_dev_ddoc) for i in xrange(count)]
def _load_doc_data_all_buckets(self, data_op="create", batch_size=1000):
#initialize the template for document generator
age = range(5)
first = ['james', 'sharon']
template = '{{ "age": {0}, "first_name": "{1}" }}'
gen_load = DocumentGenerator('test_docs', template, age, first, start=0, end=self.num_items)
self.log.info("%s %s documents..." % (data_op, self.num_items))
self._load_all_buckets(self.master, gen_load, data_op, 0, batch_size=batch_size)
def verify_cluster_stats(self, servers=None, master=None, max_verify=None):
if servers is None:
servers = self.servers
if master is None:
master = self.master
if max_verify is None:
max_verify = self.max_verify
self._wait_for_stats_all_buckets(servers)
self._verify_all_buckets(master, max_verify=max_verify)
self._verify_stats_all_buckets(servers)
#verify that curr_items_tot corresponds to sum of curr_items from all nodes
verified = True
for bucket in self.buckets:
verified &= RebalanceHelper.wait_till_total_numbers_match(master, bucket)
self.assertTrue(verified, "Lost items!!! Replication was completed but sum(curr_items) don't match the curr_items_total")