def test_book_flight(self):
num_tickets_to_book = 3
flight_ids = self.__get_flight_ids("American Airlines")
endpoint = "http://%s/%s" % (self.profile_endpoint, "confirmBooking")
table = TableView(self.log.info)
table.set_headers(["Username", "Booking ID", "Status",
"Class", "Num Seats"])
for index in range(1, num_tickets_to_book):
username = self.username_format % index
booking_data = {
"username": username,
"password": self.password,
"flightId": choice(flight_ids),
"flightSeats": choice(range(1, 3)),
"bookingClass": "economy",
"bankAccount": hashlib.md5(
username.encode('utf-8')).hexdigest()
}
response = RestHelper.post_request(endpoint, booking_data)
if response.status_code != 200:
self.log.error("Request returned code %s: %s"
% (response.status_code, response.json()))
self.fail("Booking failed")
response = response.json()["Msg"]
table.add_row([username, response["id"], response["status"],
response["bookingClass"], response["flightSeats"]])
table.display("Booking details:")
def __get_purged_tombstone_from_last_run(self, nodes=None):
"""
:return last_purged_tombstones: Dict of format,
{ node_ip: {'count': N, 'keys': [k1, k2, ..] }, ...}
"""
tail_cmd = "cat %s/var/lib/couchbase/logs/debug.log " \
% self.couchbase_base_dir \
+ "| sed -n '/%s/,$p'"
purged_ts_count_pattern = ".*Purged ([0-9]+) ns_config tombstone"
meta_kv_keys_pattern = ".*{metakv,[ ]*<<\"/([0-9a-zA-Z_\-\.]+)\">>"
start_of_line = "^\[ns_server:"
start_of_line = re.compile(start_of_line)
meta_kv_keys_pattern = re.compile(meta_kv_keys_pattern)
purged_ts_count_pattern = re.compile(purged_ts_count_pattern)
tbl_view = TableView(self.log.info)
tbl_view.set_headers(["Node", "Purged Keys"])
last_purged_tombstones = dict()
if nodes is None:
nodes = self.cluster_util.get_nodes_in_cluster(self.cluster)
for node in nodes:
self.log.info("Processing debug logs from %s" % node.ip)
shell = RemoteMachineShellConnection(node)
output, _ = shell.execute_command(
tail_cmd % self.ts_during_start[node.ip])
if not output:
output, _ = shell.execute_command(
" ".join(tail_cmd.split(' ')[:2]))
self.log.debug("Tail stdout:\n%s" % output)
o_len = len(output)
target_buffer = ""
total_ts_purged = 0
for index in range(o_len-1, -1, -1):
line = output[index]
if not start_of_line.match(line):
target_buffer = line + target_buffer
elif "tombstone_agent:purge:" in line:
total_ts_purged = \
purged_ts_count_pattern.match(line).group(1)
break
else:
target_buffer = ""
last_purged_tombstones[node.ip] = dict()
last_purged_tombstones[node.ip]["count"] = int(total_ts_purged)
last_purged_tombstones[node.ip]["keys"] = \
meta_kv_keys_pattern.findall(target_buffer)
tbl_view.add_row([node.ip, total_ts_purged])
shell.disconnect()
tbl_view.display("Purged_keys:")
self.log.debug("Purged keys :: %s" % last_purged_tombstones)
return last_purged_tombstones
def test_cancel_booking(self):
endpoint = "http://%s/%s" % (self.profile_endpoint, "allBookings")
booked_tickets = list()
for index in range(1, 11):
username = self.username_format % index
auth_data = {"username": username,
"password": self.password}
response = RestHelper.post_request(endpoint, auth_data)
if response.status_code != 200:
self.log.error("Request returned code %s: %s"
% (response.status_code, response.json()))
self.fail("Fetching booking history failed")
bookings = response.json()["Msg"][0]["bookings"]
if len(bookings) > 0:
booked_tickets.append([username, bookings])
target_user = choice(booked_tickets)
booking_id = choice(target_user[1])
self.log.info("Cancel %s for user %s"
% (booking_id, target_user[0]))
endpoint = "http://%s/%s" % (self.profile_endpoint, "cancelBooking")
data = {"username": target_user[0], "password": self.password,
"id": booking_id}
response = RestHelper.post_request(endpoint, data)
if response.status_code != 200:
self.log.error("Request returned code %s: %s"
% (response.status_code, response.json()))
self.fail("Fetching booking history failed")
# Fetch booking status to confirm cancellation
endpoint = "http://%s/%s" % (self.profile_endpoint, "getBooking")
data = {"username": target_user[0], "password": self.password,
"id": booking_id}
response = RestHelper.post_request(endpoint, data)
if response.status_code != 200:
self.log.error("Request returned code %s: %s"
% (response.status_code, response.json()))
self.fail("Fetching booking history failed")
response = response.json()["Msg"]
table = TableView(self.log.info)
table.add_row(["Booking ID", response["id"]])
table.add_row(["Flight", response["flightId"]])
table.add_row(["Status", response["status"]])
table.add_row(["Seats",
"%s (%s)" % (response["flightSeats"],
", ".join(response["TicketsBooked"]))])
table.add_row(["Class", response["bookingClass"]])
table.display("Ticket status:")
self.assertEqual(response["status"], "Booking Cancelled")
def __get_deleted_key_count(self, check_if_zero=False):
deleted_keys = self.cluster_util.get_ns_config_deleted_keys_count()
tbl = TableView(self.log.info)
tbl.set_headers(["Node", "Deleted_key_count"])
for t_ip, k_count in deleted_keys.items():
tbl.add_row(["%s" % t_ip, "%s" % k_count])
tbl.display("Tombstone count on cluster nodes:")
if not check_if_zero:
return
for t_ip, k_count in deleted_keys.items():
if k_count != 0:
self.fail("%s Deleted key count %s != 0" % (t_ip, k_count))
def print_spec_details(self, spec, cycles, elapsed_time):
table = TableView(self.log.info)
table.set_headers(["Operation", "Value"])
table.add_row([
"Collections dropped and recreated",
str(spec[MetaCrudParams.COLLECTIONS_TO_RECREATE])
])
table.add_row([
"Scopes dropped and recreated",
str(spec[MetaCrudParams.SCOPES_TO_RECREATE])
])
table.add_row(["Cycles of data load", str(cycles)])
table.add_row(["Time Elapsed in secs", str(elapsed_time)])
table.display("Data load details")
def test_list_booking_history(self):
table = TableView(self.log.info)
table.set_headers(["Username", "Num tickets", "IDs"])
num_tickets_to_book = 3
endpoint = "http://%s/%s" % (self.profile_endpoint, "allBookings")
for index in range(1, num_tickets_to_book):
username = self.username_format % index
auth_data = {"username": username,
"password": self.password}
response = RestHelper.post_request(endpoint, auth_data)
if response.status_code != 200:
self.log.error("Request returned code %s: %s"
% (response.status_code, response.json()))
self.fail("Fetching booking history failed")
bookings = response.json()["Msg"][0]["bookings"]
table.add_row([username, len(bookings), "\n".join(bookings)])
table.display("Booking history:")
def check_replica_eviction():
tbl = TableView(self.log.info)
tbl.set_headers([
"Node", "Memory", "WM_Threshold", "Itm_mem", "Meta_mem",
"Evictable_mem", "A_rr", "R_rr"
])
while self.test_failure is None and run_eviction_check:
tbl.rows = []
for kv_node in node_data.keys():
all_stats = \
node_data[kv_node]["cbstat"].all_stats(bucket.name)
bucket_mem = int(all_stats["ep_max_size"])
wm_threshold = \
(float(all_stats["ep_mem_high_wat_percent"])
- float(all_stats["ep_mem_low_wat_percent"]))*100
evictable_mem = \
int(all_stats["vb_replica_itm_memory"]) \
- int(all_stats["vb_replica_meta_data_memory"])
active_rr = int(all_stats["vb_active_perc_mem_resident"])
replica_rr = int(all_stats["vb_replica_perc_mem_resident"])
tbl.add_row([
kv_node.ip,
str(bucket_mem),
str(wm_threshold), all_stats["vb_replica_itm_memory"],
all_stats["vb_replica_meta_data_memory"],
str(evictable_mem),
str(active_rr),
str(replica_rr)
])
if active_rr != 100 \
and evictable_mem > (bucket_mem/wm_threshold):
tbl.display("Node memory stats")
self.log_failure("%s - Active keys evicted before "
"meeting the threshold: %s" %
(kv_node.ip, all_stats))
if replica_rr > active_rr:
tbl.display("Node memory stats")
self.log_failure(
"%s: (active_rr) %s < %s (replica_rr)" %
(kv_node.ip, active_rr, replica_rr))
def print_cluster_stats(self):
table = TableView(self.log.info)
table.set_headers([
"Node", "Services", "CPU_utilization", "Mem_total", "Mem_free",
"Swap_mem_total", "Swap_mem_used"
])
rest = RestConnection(self.cluster.master)
cluster_stat = rest.get_cluster_stats()
for cluster_node, node_stats in cluster_stat.items():
row = list()
row.append(cluster_node.split(':')[0])
row.append(str(node_stats["services"]))
row.append(str(node_stats["cpu_utilization"]))
row.append(str(node_stats["mem_total"]))
row.append(str(node_stats["mem_free"]))
row.append(str(node_stats["swap_mem_total"]))
row.append(str(node_stats["swap_mem_used"]))
table.add_row(row)
table.display("Cluster statistics")
def test_get_flights_for_airline(self):
target_airline = "American Airlines"
rest_url = "http://%s/%s/%s" % (self.inventory_endpoint, "flights",
urllib.parse.quote(target_airline))
response = RestHelper.get_request(rest_url)
if response.status_code != 200:
raise Exception("Requests status content:{0}".format(
response.content))
self.log.info("Flights for airline: %s" % target_airline)
table = TableView(self.log.info)
table.set_headers([
"Flight Id", "Model", "Departure", "Arrival", "Departure Time",
"Status"
])
for f_data in response.json():
f_data = f_data["flights"]
table.add_row([
f_data["flight_id"], f_data["model"],
f_data["departing_airport"], f_data["arriving_airport"],
f_data["departure_date"], f_data["status"]
])
table.display("Flights for airline: %s" % target_airline)
def test_maxttl_with_sync_writes(self):
"""
1. Load few docs without TTL
2. Load few docs with TTL set in parallel to #1
3. Validate docs get expiry after the TTL time
:return:
"""
def_bucket = self.cluster.buckets[0]
self.maxttl = self.input.param("doc_ttl", self.maxttl)
doc_ops_type = self.input.param("doc_ops_type", "sync;sync").split(";")
# Create default doc_load options for TTL and non-TTL tasks
non_ttl_task_property = dict()
ttl_task_property = dict()
# Create generators for TTL and non_TTL loading
self.log.info("Creating doc_generators")
ttl_gen_create = doc_generator(self.key,
0,
self.num_items,
doc_size=self.doc_size,
doc_type=self.doc_type,
target_vbucket=self.target_vbucket,
vbuckets=self.cluster.vbuckets)
non_ttl_gen_create = doc_generator(self.key,
self.num_items,
self.num_items * 2,
doc_size=self.doc_size,
doc_type=self.doc_type,
target_vbucket=self.target_vbucket,
vbuckets=self.cluster.vbuckets)
# Set durability levels based on doc_ops_type
non_ttl_task_property["op_type"] = "create"
ttl_task_property["op_type"] = "create"
if doc_ops_type[0] == "sync":
non_ttl_task_property["replicate_to"] = 0
non_ttl_task_property["persist_to"] = 0
non_ttl_task_property["durability"] = self.durability_level
else:
non_ttl_task_property["replicate_to"] = self.replicate_to
non_ttl_task_property["persist_to"] = self.persist_to
non_ttl_task_property["durability"] = "None"
if doc_ops_type[1] == "sync":
ttl_task_property["replicate_to"] = 0
ttl_task_property["persist_to"] = 0
ttl_task_property["durability"] = self.durability_level
else:
ttl_task_property["replicate_to"] = self.replicate_to
ttl_task_property["persist_to"] = self.persist_to
ttl_task_property["durability"] = "None"
self.load_docs_in_parallel(def_bucket, non_ttl_gen_create,
ttl_gen_create, non_ttl_task_property,
ttl_task_property)
# Validate doc_count before expiry of docs
self.bucket_util._wait_for_stats_all_buckets(self.cluster,
self.cluster.buckets)
self.bucket_util.verify_stats_all_buckets(self.cluster,
self.num_items * 2)
self.sleep(self.maxttl, "Sleep for maxTTL time")
self.bucket_util._expiry_pager(self.cluster)
self.sleep(25, "Waiting for items to be purged")
# Read all expired docs to validate EONENT status
ttl_task = self.task.async_load_gen_docs(
self.cluster,
def_bucket,
ttl_gen_create,
"read",
self.maxttl,
batch_size=10,
process_concurrency=8,
timeout_secs=self.sdk_timeout,
compression=self.sdk_compression,
sdk_client_pool=self.sdk_client_pool)
self.task.jython_task_manager.get_task_result(ttl_task)
# Max-TTL doc expiry validation
self.log.info("Validating expiry of docs")
if len(ttl_task.success.keys()) != 0:
self.fail("Items present after MaxTTL time: %s" %
ttl_task.success.keys())
invalid_exception_tbl = TableView(self.log.info)
invalid_exception_tbl.set_headers(["Doc_Key", "CAS"])
for doc_key, result in ttl_task.fail.items():
if result["cas"] != 0 and result["error"] is not None:
invalid_exception_tbl.add_row([doc_key, result["cas"]])
invalid_exception_tbl.display("Invalid exceptions for following keys")
if len(invalid_exception_tbl.rows) != 0:
self.fail("Seen invalid document exception")
# Validate doc_count after doc_expiry
self.bucket_util._wait_for_stats_all_buckets(self.cluster,
self.cluster.buckets)
self.bucket_util.verify_stats_all_buckets(self.cluster, self.num_items)
# Document mutations after doc_expiry
non_ttl_task_property["op_type"] = "update"
self.load_docs_in_parallel(def_bucket, non_ttl_gen_create,
ttl_gen_create, non_ttl_task_property,
ttl_task_property)
# Validate doc_count before expiry of docs
self.bucket_util._wait_for_stats_all_buckets(self.cluster,
self.cluster.buckets)
self.bucket_util.verify_stats_all_buckets(self.cluster,
self.num_items * 2)
def test_timeout_with_crud_failures(self):
"""
Test to make sure timeout is handled in durability calls
and no documents are loaded when durability cannot be met using
error simulation in server node side
This will validate failure in majority of nodes, where durability will
surely fail for all CRUDs
1. Select a node from the cluster to simulate the specified error
2. Perform CRUD on the target bucket with given timeout
3. Using cbstats to verify no operations succeeds
4. Revert the error scenario from the cluster to resume durability
5. Validate all mutations are succeeded after reverting
the error condition
Note: self.sdk_timeout values is considered as 'seconds'
"""
# Local method to validate vb_seqno
def validate_vb_seqno_stats():
"""
:return retry_validation: Boolean denoting to retry validation
"""
retry_validation = False
vb_info["post_timeout"][node.ip] = \
cbstat_obj[node.ip].vbucket_seqno(self.bucket.name)
for vb_num in range(self.vbuckets):
vb_num = str(vb_num)
if vb_num not in affected_vbs:
if vb_info["init"][node.ip][vb_num] \
!= vb_info["post_timeout"][node.ip][vb_num]:
self.log_failure(
"Unaffected vb-%s stat updated: %s != %s" %
(vb_num, vb_info["init"][node.ip][vb_num],
vb_info["post_timeout"][node.ip][vb_num]))
elif int(vb_num) in target_nodes_vbuckets["active"]:
if vb_info["init"][node.ip][vb_num] \
!= vb_info["post_timeout"][node.ip][vb_num]:
self.log_failure(
err_msg %
(node.ip, "active", vb_num,
vb_info["init"][node.ip][vb_num],
vb_info["post_timeout"][node.ip][vb_num]))
elif int(vb_num) in target_nodes_vbuckets["replica"]:
if vb_info["init"][node.ip][vb_num] \
== vb_info["post_timeout"][node.ip][vb_num]:
retry_validation = True
self.log.warning(
err_msg %
(node.ip, "replica", vb_num,
vb_info["init"][node.ip][vb_num],
vb_info["post_timeout"][node.ip][vb_num]))
return retry_validation
shell_conn = dict()
cbstat_obj = dict()
error_sim = dict()
target_nodes_vbuckets = dict()
vb_info = dict()
tasks = dict()
doc_gen = dict()
affected_vbs = list()
target_nodes_vbuckets["active"] = []
target_nodes_vbuckets["replica"] = []
vb_info["init"] = dict()
vb_info["post_timeout"] = dict()
vb_info["afterCrud"] = dict()
# Override crud_batch_size to minimum value for testing
self.crud_batch_size = 5
timeout_err_str = self.durability_helper.EXCEPTIONS["request_timeout"]
ambiguous_err_str = self.durability_helper.EXCEPTIONS["ambiguous"]
# Create required doc_generators
doc_gen["insert"] = sub_doc_generator(
self.key, self.num_items / 2,
self.num_items / 2 + self.crud_batch_size)
doc_gen["remove"] = sub_doc_generator_for_edit(self.key,
0,
self.crud_batch_size,
template_index=2)
doc_gen["read"] = sub_doc_generator_for_edit(self.key,
0,
self.crud_batch_size,
template_index=0)
doc_gen["upsert"] = sub_doc_generator_for_edit(
self.key,
int(self.num_items / 4),
int(self.num_items / 4) + self.crud_batch_size,
template_index=1)
target_nodes = self.getTargetNodes()
for node in target_nodes:
shell_conn[node.ip] = RemoteMachineShellConnection(node)
cbstat_obj[node.ip] = Cbstats(shell_conn[node.ip])
target_nodes_vbuckets["active"] += \
cbstat_obj[node.ip].vbucket_list(self.bucket.name,
vbucket_type="active")
target_nodes_vbuckets["replica"] += \
cbstat_obj[node.ip].vbucket_list(self.bucket.name,
vbucket_type="replica")
vb_info["init"][node.ip] = cbstat_obj[node.ip].vbucket_seqno(
self.bucket.name)
error_sim[node.ip] = CouchbaseError(self.log, shell_conn[node.ip])
curr_time = int(time.time())
expected_timeout = curr_time + self.sdk_timeout
for op_type in doc_gen.keys():
tasks[op_type] = self.task.async_load_gen_sub_docs(
self.cluster,
self.bucket,
doc_gen[op_type],
op_type,
0,
path_create=True,
batch_size=1,
process_concurrency=8,
replicate_to=self.replicate_to,
persist_to=self.persist_to,
durability=self.durability_level,
timeout_secs=self.sdk_timeout,
start_task=False)
# Perform specified action
for node in target_nodes:
error_sim[node.ip].create(self.simulate_error,
bucket_name=self.bucket.name)
for op_type in doc_gen.keys():
self.task_manager.add_new_task(tasks[op_type])
# Wait for document_loader tasks to complete
for op_type in doc_gen.keys():
self.task.jython_task_manager.get_task_result(tasks[op_type])
# Validate task failures
if op_type == "read":
# Validation for read task
for doc_id, crud_result in tasks[op_type].success.items():
vb_num = self.bucket_util.get_vbucket_num_for_key(
doc_id, self.vbuckets)
if vb_num in target_nodes_vbuckets["active"]:
self.log_failure("Read succeeded for %s present in "
"stopped active vbucket: %s" %
(doc_id, vb_num))
self.durability_helper.validate_durability_exception(
tasks[op_type].fail,
self.durability_helper.EXCEPTIONS["request_timeout"])
else:
# Validation of CRUDs - Update / Create / Delete
if len(tasks[op_type].success.keys()) != 0:
self.log_failure("Few keys succeeded for %s: %s" %
(op_type, tasks[op_type].success.keys()))
for doc_id, crud_result in tasks[op_type].fail.items():
vb_num = self.bucket_util.get_vbucket_num_for_key(
doc_id, self.vbuckets)
if vb_num in target_nodes_vbuckets["active"]:
if timeout_err_str not in str(crud_result["error"]):
self.log_failure(
"Invalid exception for doc %s, vb %s: %s" %
(doc_id, vb_num, crud_result))
else:
if ambiguous_err_str not in str(crud_result["error"]):
self.log_failure(
"Invalid exception for doc %s, vb %s: %s" %
(doc_id, vb_num, crud_result))
# Revert the specified error scenario
for node in target_nodes:
error_sim[node.ip].revert(self.simulate_error,
bucket_name=self.bucket.name)
# Check whether the timeout triggered properly
if int(time.time()) < expected_timeout:
self.log_failure("Timed-out before expected time")
for op_type in doc_gen.keys():
if op_type == "read":
continue
while doc_gen[op_type].has_next():
doc_id, _ = doc_gen[op_type].next()
affected_vbs.append(
str(
self.bucket_util.get_vbucket_num_for_key(
doc_id, self.vbuckets)))
affected_vbs = list(set(affected_vbs))
err_msg = "%s - mismatch in %s vb-%s seq_no: %s != %s"
# Fetch latest stats and validate the seq_nos are not updated
for node in target_nodes:
retry_count = 0
max_retry = 3
while retry_count < max_retry:
self.log.info("Trying to validate vbseq_no stats: %d" %
(retry_count + 1))
retry_count += 1
retry_required = validate_vb_seqno_stats()
if not retry_required:
break
self.sleep(5, "Sleep for vbseq_no stats to update")
else:
# This will be exited only if `break` condition is not met
self.log_failure("validate_vb_seqno_stats verification failed")
self.validate_test_failure()
# If replicas+1 == total nodes, verify no mutation should have
# succeeded with durability
if self.nodes_init == self.num_replicas + 1:
read_gen = doc_generator(self.key, 0, self.num_items)
read_task = self.task.async_load_gen_docs(
self.cluster,
self.bucket,
read_gen,
"read",
0,
batch_size=500,
process_concurrency=1,
timeout_secs=self.sdk_timeout)
self.task_manager.get_task_result(read_task)
failed_keys = TableView(self.log.error)
failed_keys.set_headers(["Key", "Error"])
for doc_key, doc_info in read_task.success.items():
mutated = json.loads(str(doc_info["value"]))["mutated"]
if mutated != 0:
failed_keys.add_row([doc_key, doc_info])
failed_keys.display("Affected mutations:")
self.log.error(read_task.fail)
# SDK client for retrying AMBIGUOUS for unexpected keys
sdk_client = SDKClient(RestConnection(self.cluster.master),
self.bucket)
# Doc error validation
for op_type in doc_gen.keys():
task = tasks[op_type]
if self.nodes_init == 1 \
and len(task.fail.keys()) != (doc_gen[op_type].end
- doc_gen[op_type].start):
self.log_failure(
"Failed keys %d are less than expected %d" %
(len(task.fail.keys()),
(doc_gen[op_type].end - doc_gen[op_type].start)))
# Create table objects for display
table_view = TableView(self.log.error)
ambiguous_table_view = TableView(self.log.error)
table_view.set_headers(["Key", "Exception"])
ambiguous_table_view.set_headers(["Key", "vBucket"])
# Iterate failed keys for validation
for doc_key, doc_info in task.fail.items():
vb_for_key = self.bucket_util.get_vbucket_num_for_key(doc_key)
if vb_for_key in target_nodes_vbuckets["active"]:
expected_exception = \
self.durability_helper.EXCEPTIONS["request_timeout"]
elif vb_for_key in target_nodes_vbuckets["replica"]:
expected_exception = \
self.durability_helper.EXCEPTIONS["ambiguous"]
else:
expected_exception = \
self.durability_helper.EXCEPTIONS["ambiguous"]
ambiguous_table_view.add_row([doc_key, vb_for_key])
retry_success = \
self.durability_helper.retry_for_ambiguous_exception(
sdk_client, op_type, doc_key, doc_info)
if not retry_success:
self.log_failure("%s failed in retry for %s" %
(op_type, doc_key))
if expected_exception not in str(doc_info["error"]):
table_view.add_row([doc_key, doc_info["error"]])
# Display the tables (if any errors)
table_view.display("Unexpected exception during %s" % op_type)
ambiguous_table_view.display("Ambiguous exception during %s" %
op_type)
# Close the SDK connection
sdk_client.close()
# Verify doc count after expected CRUD failure
self.bucket_util._wait_for_stats_all_buckets()
self.bucket_util.verify_stats_all_buckets(self.num_items)
# Retry the same CRUDs after reverting the failure environment
tasks = list()
for op_type in doc_gen.keys():
tasks.append(
self.task.async_load_gen_docs(self.cluster,
self.bucket,
doc_gen[op_type],
op_type,
0,
batch_size=10,
process_concurrency=1,
replicate_to=self.replicate_to,
persist_to=self.persist_to,
durability=self.durability_level,
timeout_secs=self.sdk_timeout))
# Wait for document_loader tasks to complete
for task in tasks:
self.task.jython_task_manager.get_task_result(task)
if len(task.fail.keys()) != 0:
self.log_failure(
"Failures with no error condition: {0}, {1}".format(
task.fail, task.fail.keys()))
# Verify initial doc load count
self.bucket_util._wait_for_stats_all_buckets()
self.bucket_util.verify_stats_all_buckets(self.num_items)
# Fetch latest stats and validate the values are updated
for node in target_nodes:
vb_info["afterCrud"][node.ip] = \
cbstat_obj[node.ip].vbucket_seqno(self.bucket.name)
if vb_info["init"][node.ip] == vb_info["afterCrud"][node.ip]:
self.log_failure("vBucket seq_no stats not updated")
# Disconnect the shell connection
for node in target_nodes:
shell_conn[node.ip].disconnect()
self.validate_test_failure()
class volume(BaseTestCase):
def setUp(self):
self.input = TestInputSingleton.input
self.input.test_params.update({"default_bucket": False})
BaseTestCase.setUp(self)
self.rest = RestConnection(self.servers[0])
self.op_type = self.input.param("op_type", "create")
self.available_servers = list()
self.available_servers = self.cluster.servers[self.nodes_init:]
self.num_buckets = self.input.param("num_buckets", 1)
self.mutate = 0
self.doc_ops = self.input.param("doc_ops", None)
if self.doc_ops:
self.doc_ops = self.doc_ops.split(';')
self.iterations = self.input.param("iterations", 2)
self.vbucket_check = self.input.param("vbucket_check", True)
self.new_num_writer_threads = self.input.param(
"new_num_writer_threads", 6)
self.new_num_reader_threads = self.input.param(
"new_num_reader_threads", 8)
self.create_perc = 100
self.update_perc = self.input.param("update_perc", 50)
self.delete_perc = self.input.param("delete_perc", 50)
self.expiry_perc = self.input.param("expiry_perc", 0)
self.start = 0
self.end = 0
self.initial_items = self.start
self.final_items = self.end
self.create_end = 0
self.create_start = 0
self.update_end = 0
self.update_start = 0
self.delete_end = 0
self.delete_start = 0
self.expire_end = 0
self.expire_start = 0
self.num_collections = self.input.param("num_collections", 10)
def create_required_buckets(self):
self.log.info("Get the available memory quota")
self.info = self.rest.get_nodes_self()
threshold_memory = 100
# threshold_memory_vagrant = 100
total_memory_in_mb = self.info.mcdMemoryReserved
total_available_memory_in_mb = total_memory_in_mb
# If the mentioned service is already present,
# we remove that much memory from available memory quota
if "index" in self.info.services:
total_available_memory_in_mb -= self.info.indexMemoryQuota
if "fts" in self.info.services:
total_available_memory_in_mb -= self.info.ftsMemoryQuota
if "cbas" in self.info.services:
total_available_memory_in_mb -= self.info.cbasMemoryQuota
if "eventing" in self.info.services:
total_available_memory_in_mb -= self.info.eventingMemoryQuota
available_memory = total_available_memory_in_mb - threshold_memory
self.rest.set_service_memoryQuota(service='memoryQuota',
memoryQuota=available_memory)
# Creating buckets for data loading purpose
self.log.info("Create CB buckets")
self.bucket_expiry = self.input.param("bucket_expiry", 0)
ramQuota = self.input.param("ramQuota", available_memory)
buckets = self.input.param("bucket_names", "GleamBookUsers").split(';')
self.bucket_type = self.bucket_type.split(';')
self.compression_mode = self.compression_mode.split(';')
self.bucket_eviction_policy = self.bucket_eviction_policy
for i in range(self.num_buckets):
bucket = Bucket({
Bucket.name: buckets[i],
Bucket.ramQuotaMB: ramQuota / self.num_buckets,
Bucket.maxTTL: self.bucket_expiry,
Bucket.replicaNumber: self.num_replicas,
Bucket.storageBackend: self.bucket_storage,
Bucket.evictionPolicy: self.bucket_eviction_policy,
Bucket.bucketType: self.bucket_type[i],
Bucket.compressionMode: self.compression_mode[i]
})
self.bucket_util.create_bucket(bucket)
# rebalance the new buckets across all nodes.
self.log.info("Rebalance Starts")
self.nodes = self.rest.node_statuses()
self.rest.rebalance(otpNodes=[node.id for node in self.nodes],
ejectedNodes=[])
self.rest.monitorRebalance()
return bucket
def set_num_writer_and_reader_threads(self,
num_writer_threads="default",
num_reader_threads="default"):
for node in self.cluster_util.get_kv_nodes():
bucket_helper = BucketHelper(node)
bucket_helper.update_memcached_settings(
num_writer_threads=num_writer_threads,
num_reader_threads=num_reader_threads)
def generate_docs(self, doc_ops=None):
self.gen_delete = None
self.gen_create = None
self.gen_update = None
self.gen_expiry = None
self.create_end = 0
self.create_start = 0
self.update_end = 0
self.update_start = 0
self.delete_end = 0
self.delete_start = 0
self.expire_end = 0
self.expire_start = 0
self.initial_items = self.final_items
if doc_ops is None:
doc_ops = self.doc_ops
if "update" in doc_ops:
self.update_start = 0
self.update_end = self.num_items * self.update_perc / 100
self.mutate += 1
self.gen_update = doc_generator(
"Users",
self.update_start,
self.update_end,
doc_size=self.doc_size,
doc_type=self.doc_type,
target_vbucket=self.target_vbucket,
vbuckets=self.cluster_util.vbuckets,
key_size=self.key_size,
randomize_doc_size=self.randomize_doc_size,
randomize_value=self.randomize_value,
mix_key_size=self.mix_key_size,
mutate=self.mutate)
if "delete" in doc_ops:
self.delete_start = self.start
self.delete_end = self.start + (self.num_items *
self.delete_perc) / 100
self.gen_delete = doc_generator(
"Users",
self.delete_start,
self.delete_end,
doc_size=self.doc_size,
doc_type=self.doc_type,
target_vbucket=self.target_vbucket,
vbuckets=self.cluster_util.vbuckets,
key_size=self.key_size,
randomize_doc_size=self.randomize_doc_size,
randomize_value=self.randomize_value,
mix_key_size=self.mix_key_size)
self.final_items -= (self.delete_end -
self.delete_start) * self.num_collections
if "expiry" in doc_ops and self.maxttl:
self.expire_start = self.start + (self.num_items *
self.delete_perc) / 100
self.expire_end = self.start + self.num_items * (
self.delete_perc + self.expiry_perc) / 100
self.gen_expiry = doc_generator(
"Users",
self.expire_start,
self.expire_end,
doc_size=self.doc_size,
doc_type=self.doc_type,
target_vbucket=self.target_vbucket,
vbuckets=self.cluster_util.vbuckets,
key_size=self.key_size,
randomize_doc_size=self.randomize_doc_size,
randomize_value=self.randomize_value,
mix_key_size=self.mix_key_size)
self.final_items -= (self.expire_end -
self.expire_start) * self.num_collections
if "create" in doc_ops:
self.start = self.end
self.end += self.num_items * self.create_perc / 100
self.create_start = self.start
self.create_end = self.end
self.gen_create = doc_generator(
"Users",
self.start,
self.end,
doc_size=self.doc_size,
doc_type=self.doc_type,
target_vbucket=self.target_vbucket,
vbuckets=self.cluster_util.vbuckets,
key_size=self.key_size,
randomize_doc_size=self.randomize_doc_size,
randomize_value=self.randomize_value,
mix_key_size=self.mix_key_size)
self.final_items += (self.end - self.start) * self.num_collections
def doc_loader(self, op_type, kv_gen, exp=0, scope=None, collection=None):
if scope is None:
scope = CbServer.default_scope
if collection is None:
collection = CbServer.default_collection
retry_exceptions = [
SDKException.AmbiguousTimeoutException,
SDKException.RequestCanceledException
]
tasks_info = self.bucket_util._async_load_all_buckets(
self.cluster,
kv_gen,
op_type,
exp,
batch_size=self.batch_size,
process_concurrency=self.process_concurrency,
persist_to=self.persist_to,
replicate_to=self.replicate_to,
durability=self.durability_level,
pause_secs=5,
timeout_secs=self.sdk_timeout,
retries=self.sdk_retries,
retry_exceptions=retry_exceptions,
scope=scope,
collection=collection)
return tasks_info
def data_load(self,
scope=CbServer.default_scope,
collections=[CbServer.default_scope]):
tasks_info = dict()
for collection in collections:
if self.gen_update is not None:
task_info = self.doc_loader("update",
self.gen_update,
scope=scope,
collection=collection)
tasks_info.update(task_info.items())
if self.gen_create is not None:
task_info = self.doc_loader("create",
self.gen_create,
scope=scope,
collection=collection)
tasks_info.update(task_info.items())
if self.gen_delete is not None:
task_info = self.doc_loader("delete",
self.gen_delete,
scope=scope,
collection=collection)
tasks_info.update(task_info.items())
if self.gen_expiry is not None and self.maxttl:
task_info = self.doc_loader("update",
self.gen_expiry,
self.maxttl,
scope=scope,
collection=collection)
tasks_info.update(task_info.items())
return tasks_info
def data_validation(self,
tasks_info,
scope=CbServer.default_scope,
collections=[CbServer.default_scope],
check_docs=True):
for task in tasks_info:
self.task_manager.get_task_result(task)
self.bucket_util.verify_doc_op_task_exceptions(tasks_info,
self.cluster)
self.bucket_util.log_doc_ops_task_failures(tasks_info)
for task, task_info in tasks_info.items():
self.assertFalse(
task_info["ops_failed"],
"Doc ops failed for task: {}".format(task.thread_name))
if check_docs:
self.log.info("Validating Active/Replica Docs")
self.check_replica = False
for bucket in self.bucket_util.buckets:
tasks = list()
for collection in collections:
if self.gen_update is not None:
tasks.append(
self.task.async_validate_docs(
self.cluster,
bucket,
self.gen_update,
"update",
0,
batch_size=self.batch_size,
process_concurrency=self.process_concurrency,
pause_secs=5,
timeout_secs=self.sdk_timeout,
check_replica=self.check_replica,
scope=scope,
collection=collection))
if self.gen_create is not None:
tasks.append(
self.task.async_validate_docs(
self.cluster,
bucket,
self.gen_create,
"create",
0,
batch_size=self.batch_size,
process_concurrency=self.process_concurrency,
pause_secs=5,
timeout_secs=self.sdk_timeout,
check_replica=self.check_replica,
scope=scope,
collection=collection))
if self.gen_delete is not None:
tasks.append(
self.task.async_validate_docs(
self.cluster,
bucket,
self.gen_delete,
"delete",
0,
batch_size=self.batch_size,
process_concurrency=self.process_concurrency,
pause_secs=5,
timeout_secs=self.sdk_timeout,
check_replica=self.check_replica,
scope=scope,
collection=collection))
if self.gen_expiry is not None:
self.sleep(
self.maxttl,
"Wait for docs to expire until expiry time..")
tasks.append(
self.task.async_validate_docs(
self.cluster,
bucket,
self.gen_expiry,
"delete",
0,
batch_size=self.batch_size,
process_concurrency=self.process_concurrency,
pause_secs=5,
timeout_secs=self.sdk_timeout,
check_replica=self.check_replica,
scope=scope,
collection=collection))
for task in tasks:
self.task.jython_task_manager.get_task_result(task)
self.bucket_util._wait_for_stats_all_buckets()
# self.bucket_util.verify_stats_all_buckets(self.final_items)
def get_bucket_dgm(self, bucket):
self.rest_client = BucketHelper(self.cluster.master)
dgm = self.rest_client.fetch_bucket_stats(
bucket.name)["op"]["samples"]["vb_active_resident_items_ratio"][-1]
self.log.info("Active Resident Threshold of {0} is {1}".format(
bucket.name, dgm))
# Stopping and restarting the memcached process
def stop_process(self):
target_node = self.servers[2]
remote = RemoteMachineShellConnection(target_node)
error_sim = CouchbaseError(self.log, remote)
error_to_simulate = "stop_memcached"
# Induce the error condition
error_sim.create(error_to_simulate)
self.sleep(20, "Wait before reverting the error condition")
# Revert the simulated error condition and close the ssh session
error_sim.revert(error_to_simulate)
remote.disconnect()
def rebalance(self, nodes_in=0, nodes_out=0):
servs_in = random.sample(self.available_servers, nodes_in)
self.nodes_cluster = self.cluster.nodes_in_cluster[:]
self.nodes_cluster.remove(self.cluster.master)
servs_out = random.sample(self.nodes_cluster, nodes_out)
if nodes_in == nodes_out:
self.vbucket_check = False
rebalance_task = self.task.async_rebalance(
self.cluster.servers[:self.nodes_init],
servs_in,
servs_out,
check_vbucket_shuffling=self.vbucket_check,
retry_get_process_num=150)
self.available_servers = [
servs for servs in self.available_servers if servs not in servs_in
]
self.available_servers += servs_out
self.cluster.nodes_in_cluster.extend(servs_in)
self.cluster.nodes_in_cluster = list(
set(self.cluster.nodes_in_cluster) - set(servs_out))
return rebalance_task
def print_crud_stats(self):
self.table = TableView(self.log.info)
self.table.set_headers([
"Initial Items", "Current Items", "Items Updated", "Items Created",
"Items Deleted", "Items Expired"
])
self.table.add_row([
str(self.initial_items),
str(self.final_items),
str(self.update_start) + "-" + str(self.update_end),
str(self.create_start) + "-" + str(self.create_end),
str(self.delete_start) + "-" + str(self.delete_end),
str(self.expire_start) + "-" + str(self.expire_end)
])
self.table.display("Docs statistics")
def Volume(self):
#######################################################################
self.log.info("Step1: Create a n node cluster")
if self.nodes_init > 1:
nodes_init = self.cluster.servers[1:self.nodes_init]
self.task.rebalance([self.cluster.master], nodes_init, [])
self.cluster.nodes_in_cluster.extend([self.cluster.master] +
nodes_init)
#######################################################################
self.log.info("Step 2 & 3: Create required buckets.")
self.bucket = self.create_required_buckets()
self.loop = 0
scope_name = "VolumeScope"
collection_prefix = "VolumeCollection"
self.bucket_util.create_scope(self.cluster.master, self.bucket,
{"name": scope_name})
for i in range(self.num_collections):
collection_name = collection_prefix + str(i)
self.log.info("Creating scope::collection '%s::%s'" %
(scope_name, collection_name))
self.bucket_util.create_collection(self.cluster.master,
self.bucket, scope_name,
{"name": collection_name})
self.sleep(2)
#######################################################################
while self.loop < self.iterations:
self.log.info("Step 4: Pre-Requisites for Loading of docs")
self.bucket_util.add_rbac_user()
self.generate_docs(doc_ops="create")
tasks_info = self.data_load(
scope=scope_name,
collections=self.bucket.scopes[scope_name].collections.keys())
for task in tasks_info:
self.task.jython_task_manager.get_task_result(task)
self.bucket_util.print_bucket_stats()
self.print_crud_stats()
self.get_bucket_dgm(self.bucket)
self.create_perc = self.input.param("create_perc", 100)
###################################################################
self.log.info("Step 5: Rebalance in with Loading of docs")
self.generate_docs(doc_ops="create")
self.set_num_writer_and_reader_threads(
num_writer_threads="disk_io_optimized",
num_reader_threads="disk_io_optimized")
rebalance_task = self.rebalance(nodes_in=1, nodes_out=0)
tasks_info = self.data_load(
scope=scope_name,
collections=self.bucket.scopes[scope_name].collections.keys())
self.set_num_writer_and_reader_threads(
num_writer_threads=self.new_num_writer_threads,
num_reader_threads=self.new_num_reader_threads)
self.task.jython_task_manager.get_task_result(rebalance_task)
self.assertTrue(rebalance_task.result, "Rebalance Failed")
self.data_validation(
tasks_info,
scope=scope_name,
collections=self.bucket.scopes[scope_name].collections.keys())
self.bucket_util.print_bucket_stats()
self.print_crud_stats()
self.get_bucket_dgm(self.bucket)
###################################################################
self.log.info("Step 6: Rebalance Out with Loading of docs")
self.generate_docs()
self.set_num_writer_and_reader_threads(
num_writer_threads="disk_io_optimized",
num_reader_threads="disk_io_optimized")
rebalance_task = self.rebalance(nodes_in=0, nodes_out=1)
tasks_info = self.data_load(
scope=scope_name,
collections=self.bucket.scopes[scope_name].collections.keys())
self.set_num_writer_and_reader_threads(
num_writer_threads=self.new_num_writer_threads,
num_reader_threads=self.new_num_reader_threads)
self.task.jython_task_manager.get_task_result(rebalance_task)
self.assertTrue(rebalance_task.result, "Rebalance Failed")
self.data_validation(
tasks_info,
scope=scope_name,
collections=self.bucket.scopes[scope_name].collections.keys())
self.bucket_util.print_bucket_stats()
self.print_crud_stats()
self.get_bucket_dgm(self.bucket)
###################################################################
self.log.info("Step 7: Rebalance In_Out with Loading of docs")
self.generate_docs()
self.set_num_writer_and_reader_threads(
num_writer_threads="disk_io_optimized",
num_reader_threads="disk_io_optimized")
rebalance_task = self.rebalance(nodes_in=2, nodes_out=1)
tasks_info = self.data_load(
scope=scope_name,
collections=self.bucket.scopes[scope_name].collections.keys())
self.set_num_writer_and_reader_threads(
num_writer_threads=self.new_num_writer_threads,
num_reader_threads=self.new_num_reader_threads)
self.task.jython_task_manager.get_task_result(rebalance_task)
self.assertTrue(rebalance_task.result, "Rebalance Failed")
self.data_validation(
tasks_info,
scope=scope_name,
collections=self.bucket.scopes[scope_name].collections.keys())
self.bucket_util.print_bucket_stats()
self.print_crud_stats()
self.get_bucket_dgm(self.bucket)
###################################################################
self.log.info("Step 8: Swap with Loading of docs")
self.generate_docs()
self.set_num_writer_and_reader_threads(
num_writer_threads="disk_io_optimized",
num_reader_threads="disk_io_optimized")
rebalance_task = self.rebalance(nodes_in=1, nodes_out=1)
tasks_info = self.data_load(
scope=scope_name,
collections=self.bucket.scopes[scope_name].collections.keys())
self.set_num_writer_and_reader_threads(
num_writer_threads=self.new_num_writer_threads,
num_reader_threads=self.new_num_reader_threads)
self.task.jython_task_manager.get_task_result(rebalance_task)
self.assertTrue(rebalance_task.result, "Rebalance Failed")
self.data_validation(
tasks_info,
scope=scope_name,
collections=self.bucket.scopes[scope_name].collections.keys())
self.bucket_util.print_bucket_stats()
self.print_crud_stats()
self.get_bucket_dgm(self.bucket)
###################################################################
self.log.info("Step 9: Updating the bucket replica to 2")
bucket_helper = BucketHelper(self.cluster.master)
for i in range(len(self.bucket_util.buckets)):
bucket_helper.change_bucket_props(self.bucket_util.buckets[i],
replicaNumber=2)
self.generate_docs()
self.set_num_writer_and_reader_threads(
num_writer_threads="disk_io_optimized",
num_reader_threads="disk_io_optimized")
rebalance_task = self.rebalance(nodes_in=1, nodes_out=0)
tasks_info = self.data_load(
scope=scope_name,
collections=self.bucket.scopes[scope_name].collections.keys())
self.set_num_writer_and_reader_threads(
num_writer_threads=self.new_num_writer_threads,
num_reader_threads=self.new_num_reader_threads)
self.task.jython_task_manager.get_task_result(rebalance_task)
self.assertTrue(rebalance_task.result, "Rebalance Failed")
self.data_validation(
tasks_info,
scope=scope_name,
collections=self.bucket.scopes[scope_name].collections.keys())
self.bucket_util.print_bucket_stats()
self.print_crud_stats()
self.get_bucket_dgm(self.bucket)
###################################################################
self.log.info("Step 10: Stopping and restarting memcached process")
self.generate_docs()
self.set_num_writer_and_reader_threads(
num_writer_threads=self.new_num_writer_threads,
num_reader_threads=self.new_num_reader_threads)
rebalance_task = self.task.async_rebalance(self.cluster.servers,
[], [])
tasks_info = self.data_load(
scope=scope_name,
collections=self.bucket.scopes[scope_name].collections.keys())
self.set_num_writer_and_reader_threads(
num_writer_threads="disk_io_optimized",
num_reader_threads="disk_io_optimized")
self.task.jython_task_manager.get_task_result(rebalance_task)
self.assertTrue(rebalance_task.result, "Rebalance Failed")
self.stop_process()
self.data_validation(
tasks_info,
scope=scope_name,
collections=self.bucket.scopes[scope_name].collections.keys())
self.bucket_util.print_bucket_stats()
self.print_crud_stats()
self.get_bucket_dgm(self.bucket)
###################################################################
self.log.info(
"Step 11: Failover a node and RebalanceOut that node \
with loading in parallel")
self.std_vbucket_dist = self.input.param("std_vbucket_dist", None)
std = self.std_vbucket_dist or 1.0
prev_failover_stats = self.bucket_util.get_failovers_logs(
self.cluster.nodes_in_cluster, self.bucket_util.buckets)
disk_replica_dataset, disk_active_dataset = self.bucket_util.\
get_and_compare_active_replica_data_set_all(
self.cluster.nodes_in_cluster, self.bucket_util.buckets,
path=None)
self.rest = RestConnection(self.cluster.master)
self.nodes = self.cluster_util.get_nodes(self.cluster.master)
self.chosen = self.cluster_util.pick_nodes(self.cluster.master,
howmany=1)
# Mark Node for failover
self.generate_docs()
tasks_info = self.data_load(
scope=scope_name,
collections=self.bucket.scopes[scope_name].collections.keys())
self.success_failed_over = self.rest.fail_over(self.chosen[0].id,
graceful=True)
self.sleep(10)
self.rest.monitorRebalance()
self.nodes = self.rest.node_statuses()
self.set_num_writer_and_reader_threads(
num_writer_threads=self.new_num_writer_threads,
num_reader_threads=self.new_num_reader_threads)
self.rest.rebalance(otpNodes=[node.id for node in self.nodes],
ejectedNodes=[self.chosen[0].id])
self.assertTrue(self.rest.monitorRebalance(stop_if_loop=True),
msg="Rebalance failed")
servs_out = [
node for node in self.cluster.servers
if node.ip == self.chosen[0].ip
]
self.cluster.nodes_in_cluster = list(
set(self.cluster.nodes_in_cluster) - set(servs_out))
self.available_servers += servs_out
self.data_validation(
tasks_info,
scope=scope_name,
collections=self.bucket.scopes[scope_name].collections.keys())
self.bucket_util.compare_failovers_logs(
prev_failover_stats, self.cluster.nodes_in_cluster,
self.bucket_util.buckets)
self.bucket_util.data_analysis_active_replica_all(
disk_active_dataset,
disk_replica_dataset,
self.cluster.servers[:self.nodes_in + self.nodes_init],
self.bucket_util.buckets,
path=None)
nodes = self.cluster_util.get_nodes_in_cluster(self.cluster.master)
self.bucket_util.vb_distribution_analysis(
servers=nodes,
buckets=self.bucket_util.buckets,
num_replicas=2,
std=std,
total_vbuckets=self.cluster_util.vbuckets)
rebalance_task = self.rebalance(nodes_in=1, nodes_out=0)
self.task.jython_task_manager.get_task_result(rebalance_task)
self.bucket_util.print_bucket_stats()
self.print_crud_stats()
self.get_bucket_dgm(self.bucket)
###################################################################
self.log.info("Step 12: Failover a node and FullRecovery\
that node")
self.std_vbucket_dist = self.input.param("std_vbucket_dist", None)
std = self.std_vbucket_dist or 1.0
prev_failover_stats = self.bucket_util.get_failovers_logs(
self.cluster.nodes_in_cluster, self.bucket_util.buckets)
disk_replica_dataset, disk_active_dataset = self.bucket_util.\
get_and_compare_active_replica_data_set_all(
self.cluster.nodes_in_cluster,
self.bucket_util.buckets,
path=None)
self.rest = RestConnection(self.cluster.master)
self.nodes = self.cluster_util.get_nodes(self.cluster.master)
self.chosen = self.cluster_util.pick_nodes(self.cluster.master,
howmany=1)
self.generate_docs()
tasks_info = self.data_load(
scope=scope_name,
collections=self.bucket.scopes[scope_name].collections.keys())
# Mark Node for failover
self.success_failed_over = self.rest.fail_over(self.chosen[0].id,
graceful=True)
self.sleep(10)
self.rest.monitorRebalance()
# Mark Node for full recovery
if self.success_failed_over:
self.rest.set_recovery_type(otpNode=self.chosen[0].id,
recoveryType="full")
self.set_num_writer_and_reader_threads(
num_writer_threads=self.new_num_writer_threads,
num_reader_threads=self.new_num_reader_threads)
rebalance_task = self.task.async_rebalance(
self.cluster.servers[:self.nodes_init], [], [])
self.set_num_writer_and_reader_threads(
num_writer_threads="disk_io_optimized",
num_reader_threads="disk_io_optimized")
self.task.jython_task_manager.get_task_result(rebalance_task)
self.assertTrue(rebalance_task.result, "Rebalance Failed")
self.data_validation(
tasks_info,
scope=scope_name,
collections=self.bucket.scopes[scope_name].collections.keys())
self.bucket_util.compare_failovers_logs(
prev_failover_stats, self.cluster.nodes_in_cluster,
self.bucket_util.buckets)
self.bucket_util.data_analysis_active_replica_all(
disk_active_dataset,
disk_replica_dataset,
self.cluster.servers[:self.nodes_in + self.nodes_init],
self.bucket_util.buckets,
path=None)
nodes = self.cluster_util.get_nodes_in_cluster(self.cluster.master)
self.bucket_util.vb_distribution_analysis(
servers=nodes,
buckets=self.bucket_util.buckets,
num_replicas=2,
std=std,
total_vbuckets=self.cluster_util.vbuckets)
self.bucket_util.print_bucket_stats()
self.print_crud_stats()
self.get_bucket_dgm(self.bucket)
###################################################################
self.log.info("Step 13: Failover a node and DeltaRecovery that \
node with loading in parallel")
self.std_vbucket_dist = self.input.param("std_vbucket_dist", None)
std = self.std_vbucket_dist or 1.0
prev_failover_stats = self.bucket_util.get_failovers_logs(
self.cluster.nodes_in_cluster, self.bucket_util.buckets)
disk_replica_dataset, disk_active_dataset = self.bucket_util.\
get_and_compare_active_replica_data_set_all(
self.cluster.nodes_in_cluster,
self.bucket_util.buckets,
path=None)
self.rest = RestConnection(self.cluster.master)
self.nodes = self.cluster_util.get_nodes(self.cluster.master)
self.chosen = self.cluster_util.pick_nodes(self.cluster.master,
howmany=1)
self.generate_docs()
tasks_info = self.data_load(
scope=scope_name,
collections=self.bucket.scopes[scope_name].collections.keys())
# Mark Node for failover
self.success_failed_over = self.rest.fail_over(self.chosen[0].id,
graceful=True)
self.sleep(10)
self.rest.monitorRebalance()
if self.success_failed_over:
self.rest.set_recovery_type(otpNode=self.chosen[0].id,
recoveryType="delta")
self.set_num_writer_and_reader_threads(
num_writer_threads=self.new_num_writer_threads,
num_reader_threads=self.new_num_reader_threads)
rebalance_task = self.task.async_rebalance(
self.cluster.servers[:self.nodes_init], [], [])
self.set_num_writer_and_reader_threads(
num_writer_threads="disk_io_optimized",
num_reader_threads="disk_io_optimized")
self.task.jython_task_manager.get_task_result(rebalance_task)
self.assertTrue(rebalance_task.result, "Rebalance Failed")
self.data_validation(
tasks_info,
scope=scope_name,
collections=self.bucket.scopes[scope_name].collections.keys())
self.bucket_util.compare_failovers_logs(
prev_failover_stats, self.cluster.nodes_in_cluster,
self.bucket_util.buckets)
self.bucket_util.data_analysis_active_replica_all(
disk_active_dataset,
disk_replica_dataset,
self.cluster.servers[:self.nodes_in + self.nodes_init],
self.bucket_util.buckets,
path=None)
nodes = self.cluster_util.get_nodes_in_cluster(self.cluster.master)
self.bucket_util.vb_distribution_analysis(
servers=nodes,
buckets=self.bucket_util.buckets,
num_replicas=2,
std=std,
total_vbuckets=self.cluster_util.vbuckets)
self.bucket_util.print_bucket_stats()
self.print_crud_stats()
self.get_bucket_dgm(self.bucket)
#######################################################################
self.log.info("Step 14: Updating the bucket replica to 1")
bucket_helper = BucketHelper(self.cluster.master)
for i in range(len(self.bucket_util.buckets)):
bucket_helper.change_bucket_props(self.bucket_util.buckets[i],
replicaNumber=1)
self.generate_docs()
self.set_num_writer_and_reader_threads(
num_writer_threads=self.new_num_writer_threads,
num_reader_threads=self.new_num_reader_threads)
rebalance_task = self.task.async_rebalance(self.cluster.servers,
[], [])
tasks_info = self.data_load(
scope=scope_name,
collections=self.bucket.scopes[scope_name].collections.keys())
self.set_num_writer_and_reader_threads(
num_writer_threads="disk_io_optimized",
num_reader_threads="disk_io_optimized")
self.task.jython_task_manager.get_task_result(rebalance_task)
self.assertTrue(rebalance_task.result, "Rebalance Failed")
self.data_validation(
tasks_info,
scope=scope_name,
collections=self.bucket.scopes[scope_name].collections.keys())
self.bucket_util.print_bucket_stats()
self.print_crud_stats()
self.get_bucket_dgm(self.bucket)
#######################################################################
self.log.info("Step 15: Flush the bucket and \
start the entire process again")
self.loop += 1
if self.loop < self.iterations:
# Flush the bucket
self.bucket_util.flush_all_buckets(self.cluster.master)
self.sleep(10)
if len(self.cluster.nodes_in_cluster) > self.nodes_init:
nodes_cluster = self.cluster.nodes_in_cluster[:]
nodes_cluster.remove(self.cluster.master)
servs_out = random.sample(
nodes_cluster,
int(
len(self.cluster.nodes_in_cluster) -
self.nodes_init))
rebalance_task = self.task.async_rebalance(
self.cluster.servers[:self.nodes_init], [], servs_out)
self.task.jython_task_manager.get_task_result(
rebalance_task)
self.available_servers += servs_out
self.cluster.nodes_in_cluster = list(
set(self.cluster.nodes_in_cluster) - set(servs_out))
self.get_bucket_dgm(self.bucket)
else:
self.log.info("Volume Test Run Complete")
self.get_bucket_dgm(self.bucket)
def SteadyStateVolume(self):
#######################################################################
self.log.info("Step 1: Create a n node cluster")
if self.nodes_init > 1:
nodes_init = self.cluster.servers[1:self.nodes_init]
self.task.rebalance([self.cluster.master], nodes_init, [])
self.cluster.nodes_in_cluster.extend([self.cluster.master] +
nodes_init)
#######################################################################
self.log.info("Step 2: Create required buckets.")
self.bucket = self.create_required_buckets()
self.loop = 0
scope_name = "VolumeScope"
collection_prefix = "VolumeCollection"
self.bucket_util.create_scope(self.cluster.master, self.bucket,
{"name": scope_name})
for i in range(self.num_collections):
collection_name = collection_prefix + str(i)
self.log.info("Creating scope::collection '%s::%s'" %
(scope_name, collection_name))
self.bucket_util.create_collection(self.cluster.master,
self.bucket, scope_name,
{"name": collection_name})
self.sleep(2)
#######################################################################
self.log.info("Step 3: Per-Requisites for Loading of docs")
self.create_perc = 100
_iter = 0
while _iter < 2:
self.generate_docs(doc_ops="create")
tasks_info = self.data_load(
scope=scope_name,
collections=self.bucket.scopes[scope_name].collections.keys())
self.data_validation(tasks_info, check_docs=False)
self.bucket_util.print_bucket_stats()
self.print_crud_stats()
self.get_bucket_dgm(self.bucket)
_iter += 1
_iter = 0
self.update_perc = 100
while _iter < 10:
self.generate_docs(doc_ops="update")
tasks_info = self.data_load(
scope=scope_name,
collections=self.bucket.scopes[scope_name].collections.keys())
self.data_validation(
tasks_info,
scope=scope_name,
collections=self.bucket.scopes[scope_name].collections.keys())
self.bucket_util.print_bucket_stats()
self.print_crud_stats()
self.get_bucket_dgm(self.bucket)
_iter += 1
for i in range(1, self.num_collections, 2):
collection_name = collection_prefix + str(i)
self.bucket_util.drop_collection(self.cluster.master, self.bucket,
scope_name, collection_name)
self.bucket.scopes[scope_name].collections.pop(collection_name)
self.update_perc = self.input.param("update_perc", 100)
self.create_perc = self.input.param("create_perc", 100)
_iter = 0
while _iter < 10:
self.generate_docs()
tasks_info = self.data_load(
scope=scope_name,
collections=self.bucket.scopes[scope_name].collections.keys())
self.data_validation(
tasks_info,
scope=scope_name,
collections=self.bucket.scopes[scope_name].collections.keys())
self.bucket_util.print_bucket_stats()
self.print_crud_stats()
self.get_bucket_dgm(self.bucket)
_iter += 1
def test_basic_ops(self):
"""
Basic test for Sub-doc CRUD operations
"""
doc_op = self.input.param("op_type", None)
def_bucket = self.bucket_util.buckets[0]
supported_d_levels = self.bucket_util.get_supported_durability_levels()
# Stat validation reference variables
verification_dict = dict()
verification_dict["ops_create"] = self.num_items
verification_dict["ops_update"] = 0
verification_dict["ops_delete"] = 0
verification_dict["rollback_item_count"] = 0
verification_dict["sync_write_aborted_count"] = 0
verification_dict["sync_write_committed_count"] = 0
if self.durability_level in supported_d_levels:
verification_dict["sync_write_committed_count"] += self.num_items
# Initial validation
failed = self.durability_helper.verify_vbucket_details_stats(
def_bucket,
self.cluster_util.get_kv_nodes(),
vbuckets=self.cluster_util.vbuckets,
expected_val=verification_dict)
if failed:
self.fail("Cbstat vbucket-details verification failed")
if self.target_vbucket and type(self.target_vbucket) is not list:
self.target_vbucket = [self.target_vbucket]
self.log.info("Creating doc_generator..")
# Load basic docs into bucket
doc_create = sub_doc_generator(self.key,
0,
self.num_items,
key_size=self.key_size,
doc_size=self.sub_doc_size,
target_vbucket=self.target_vbucket,
vbuckets=self.cluster_util.vbuckets)
self.log.info("Loading {0} docs into the bucket: {1}".format(
self.num_items, def_bucket))
task = self.task.async_load_gen_sub_docs(
self.cluster,
def_bucket,
doc_create,
DocLoading.Bucket.SubDocOps.INSERT,
self.maxttl,
path_create=True,
batch_size=10,
process_concurrency=8,
replicate_to=self.replicate_to,
persist_to=self.persist_to,
durability=self.durability_level,
timeout_secs=self.sdk_timeout)
self.task.jython_task_manager.get_task_result(task)
self.log.info("Wait for ep_all_items_remaining to become '0'")
self.bucket_util._wait_for_stats_all_buckets()
# Update verification_dict and validate
verification_dict["ops_update"] += self.num_items
if self.durability_level in supported_d_levels:
verification_dict["sync_write_committed_count"] += self.num_items
failed = self.durability_helper.verify_vbucket_details_stats(
def_bucket,
self.cluster_util.get_kv_nodes(),
vbuckets=self.cluster_util.vbuckets,
expected_val=verification_dict)
if failed:
self.fail("Cbstat vbucket-details verification failed")
# Verify initial doc load count
self.log.info("Validating doc_count in buckets")
self.bucket_util.verify_stats_all_buckets(self.num_items)
self.log.info("Creating doc_generator for doc_op")
num_item_start_for_crud = int(self.num_items / 2)
template_index = 0
if doc_op == DocLoading.Bucket.SubDocOps.REMOVE:
template_index = 2
sub_doc_gen = sub_doc_generator_for_edit(self.key,
start=0,
end=num_item_start_for_crud,
key_size=self.key_size,
template_index=template_index)
if doc_op == DocLoading.Bucket.SubDocOps.UPSERT:
self.log.info("Performing 'upsert' mutation over the sub-docs")
task = self.task.async_load_gen_sub_docs(
self.cluster,
def_bucket,
sub_doc_gen,
doc_op,
self.maxttl,
path_create=True,
batch_size=10,
process_concurrency=8,
replicate_to=self.replicate_to,
persist_to=self.persist_to,
durability=self.durability_level,
timeout_secs=self.sdk_timeout)
self.task.jython_task_manager.get_task_result(task)
verification_dict["ops_update"] += \
(sub_doc_gen.end - sub_doc_gen.start
+ len(task.fail.keys()))
if self.durability_level in supported_d_levels:
verification_dict["sync_write_committed_count"] += \
num_item_start_for_crud
# Edit doc_gen template to read the mutated value as well
sub_doc_gen.template = \
sub_doc_gen.template.replace(" }}", ", \"mutated\": \"\" }}")
# Read all the values to validate update operation
task = self.task.async_load_gen_sub_docs(
self.cluster,
def_bucket,
sub_doc_gen,
"read",
0,
batch_size=100,
process_concurrency=8,
timeout_secs=self.sdk_timeout)
self.task.jython_task_manager.get_task_result(task)
op_failed_tbl = TableView(self.log.error)
op_failed_tbl.set_headers(["Update failed key", "Value"])
for key, value in task.success.items():
doc_value = value["value"]
failed_row = [key, doc_value]
if doc_value[0] != 2:
op_failed_tbl.add_row(failed_row)
elif doc_value[1] != "LastNameUpdate":
op_failed_tbl.add_row(failed_row)
elif doc_value[2] != "TypeChange":
op_failed_tbl.add_row(failed_row)
elif doc_value[3] != "CityUpdate":
op_failed_tbl.add_row(failed_row)
elif json.loads(str(doc_value[4])) != ["get", "up"]:
op_failed_tbl.add_row(failed_row)
op_failed_tbl.display("Update failed for keys:")
if len(op_failed_tbl.rows) != 0:
self.fail("Update failed for few keys")
elif doc_op == DocLoading.Bucket.SubDocOps.REMOVE:
self.log.info("Performing 'remove' mutation over the sub-docs")
task = self.task.async_load_gen_sub_docs(
self.cluster,
def_bucket,
sub_doc_gen,
doc_op,
0,
batch_size=10,
process_concurrency=8,
replicate_to=self.replicate_to,
persist_to=self.persist_to,
durability=self.durability_level,
timeout_secs=self.sdk_timeout)
self.task.jython_task_manager.get_task_result(task)
verification_dict["ops_update"] += \
(sub_doc_gen.end - sub_doc_gen.start
+ len(task.fail.keys()))
if self.durability_level in supported_d_levels:
verification_dict["sync_write_committed_count"] += \
num_item_start_for_crud
# Edit doc_gen template to read the mutated value as well
sub_doc_gen.template = sub_doc_gen.template \
.replace(" }}", ", \"mutated\": \"\" }}")
# Read all the values to validate update operation
task = self.task.async_load_gen_sub_docs(
self.cluster,
def_bucket,
sub_doc_gen,
"read",
0,
batch_size=100,
process_concurrency=8,
timeout_secs=self.sdk_timeout)
self.task.jython_task_manager.get_task_result(task)
op_failed_tbl = TableView(self.log.error)
op_failed_tbl.set_headers(["Delete failed key", "Value"])
for key, value in task.success.items():
doc_value = value["value"]
failed_row = [key, doc_value]
if doc_value[0] != 2:
op_failed_tbl.add_row(failed_row)
for index in range(1, len(doc_value)):
if doc_value[index] != "PATH_NOT_FOUND":
op_failed_tbl.add_row(failed_row)
for key, value in task.fail.items():
op_failed_tbl.add_row([key, value["value"]])
op_failed_tbl.display("Delete failed for keys:")
if len(op_failed_tbl.rows) != 0:
self.fail("Delete failed for few keys")
else:
self.log.warning("Unsupported doc_operation")
self.log.info("Wait for ep_all_items_remaining to become '0'")
self.bucket_util._wait_for_stats_all_buckets()
# Validate verification_dict and validate
failed = self.durability_helper.verify_vbucket_details_stats(
def_bucket,
self.cluster_util.get_kv_nodes(),
vbuckets=self.cluster_util.vbuckets,
expected_val=verification_dict)
if failed:
self.fail("Cbstat vbucket-details verification failed")
self.log.info("Validating doc_count")
self.bucket_util.verify_stats_all_buckets(self.num_items)
def test_basic_ops(self):
"""
Basic test for Sub-doc CRUD operations
A test in which `self.num_items` documents are created. Half of the
documents are updated or deleted depending on the supplied `op_type`.
"""
doc_op = self.input.param("op_type", None)
def_bucket = self.cluster.buckets[0]
# Stat validation reference variables
verification_dict = dict()
verification_dict["ops_create"] = self.num_items
verification_dict["ops_update"] = 0
verification_dict["ops_delete"] = 0
verification_dict["rollback_item_count"] = 0
verification_dict["sync_write_aborted_count"] = 0
verification_dict["sync_write_committed_count"] = 0
if self.is_sync_write_enabled:
verification_dict["sync_write_committed_count"] += self.num_items
# Initial validation
failed = self.durability_helper.verify_vbucket_details_stats(
def_bucket, self.cluster_util.get_kv_nodes(self.cluster),
vbuckets=self.cluster.vbuckets,
expected_val=verification_dict)
if failed:
self.fail("Cbstat vbucket-details verification failed")
if self.target_vbucket and type(self.target_vbucket) is not list:
self.target_vbucket = [self.target_vbucket]
self.log.info("Creating doc_generator..")
# Insert `self.num_items` documents
doc_create = sub_doc_generator(
self.key, 0, self.num_items,
key_size=self.key_size,
doc_size=self.sub_doc_size,
target_vbucket=self.target_vbucket,
vbuckets=self.cluster.vbuckets)
self.log.info("Loading {0} docs into the bucket: {1}"
.format(self.num_items, def_bucket))
task = self.task.async_load_gen_sub_docs(
self.cluster, def_bucket, doc_create,
DocLoading.Bucket.SubDocOps.INSERT, self.maxttl,
path_create=True,
batch_size=10, process_concurrency=8,
replicate_to=self.replicate_to, persist_to=self.persist_to,
durability=self.durability_level,
timeout_secs=self.sdk_timeout)
self.task.jython_task_manager.get_task_result(task)
self.log.info("Wait for ep_all_items_remaining to become '0'")
self.bucket_util._wait_for_stats_all_buckets(self.cluster,
self.cluster.buckets)
# The documents that could not be inserted
insert_failures = len(task.fail.keys())
# Update verification_dict and validate
verification_dict["ops_update"] += self.num_items - insert_failures
if self.is_sync_write_enabled:
verification_dict["sync_write_committed_count"] += self.num_items - insert_failures
verification_dict["sync_write_aborted_count"] += insert_failures
failed = self.durability_helper.verify_vbucket_details_stats(
def_bucket, self.cluster_util.get_kv_nodes(self.cluster),
vbuckets=self.cluster.vbuckets,
expected_val=verification_dict)
if failed:
self.fail("Cbstat vbucket-details verification failed")
# Verify initial doc load count
self.log.info("Validating doc_count in buckets")
self.bucket_util.verify_stats_all_buckets(self.cluster, self.num_items)
self.log.info("Creating doc_generator for doc_op")
num_item_start_for_crud = int(self.num_items / 2)
template_index = 0
if doc_op == DocLoading.Bucket.SubDocOps.REMOVE:
template_index = 2
sub_doc_gen = sub_doc_generator_for_edit(
self.key,
start=0,
end=num_item_start_for_crud,
key_size=self.key_size,
template_index=template_index)
if doc_op == DocLoading.Bucket.SubDocOps.UPSERT:
self.log.info("Performing 'upsert' mutation over the sub-docs")
task = self.task.async_load_gen_sub_docs(
self.cluster, def_bucket, sub_doc_gen, doc_op, self.maxttl,
path_create=True,
batch_size=10, process_concurrency=8,
replicate_to=self.replicate_to, persist_to=self.persist_to,
durability=self.durability_level,
timeout_secs=self.sdk_timeout)
self.task.jython_task_manager.get_task_result(task)
# The documents keys for which the update failed
update_failures = len(task.fail.keys())
verification_dict["ops_update"] += \
num_item_start_for_crud - update_failures
if self.is_sync_write_enabled:
verification_dict["sync_write_committed_count"] += \
num_item_start_for_crud - update_failures
# Edit doc_gen template to read the mutated value as well
sub_doc_gen.template = \
sub_doc_gen.template.replace(" }}", ", \"mutated\": \"\" }}")
# Read all the values to validate update operation
task = self.task.async_load_gen_sub_docs(
self.cluster, def_bucket, sub_doc_gen, "read", 0,
batch_size=100, process_concurrency=8,
timeout_secs=self.sdk_timeout)
self.task.jython_task_manager.get_task_result(task)
# A set of expected values following a read operation
expected_values = {'StateUpdate', 2, 'LastNameUpdate',
'TypeChange', 'CityUpdate', 'FirstNameUpdate'}
op_failed_tbl = TableView(self.log.error)
op_failed_tbl.set_headers(["Update failed key", "Value"])
# If the values of attributes does not match the
# expected value, append op to list of failed ops.
for key, value in task.success.items():
if expected_values != set(value["value"]):
op_failed_tbl.add_row([key, value["value"]])
op_failed_tbl.display("Update failed for keys:")
# Expect the non-updated values to match the update failures
self.assertEqual(len(op_failed_tbl.rows), update_failures, "")
elif doc_op == DocLoading.Bucket.SubDocOps.REMOVE:
self.log.info("Performing 'remove' mutation over the sub-docs")
task = self.task.async_load_gen_sub_docs(
self.cluster, def_bucket, sub_doc_gen, doc_op, 0,
batch_size=10, process_concurrency=8,
replicate_to=self.replicate_to, persist_to=self.persist_to,
durability=self.durability_level,
timeout_secs=self.sdk_timeout)
self.task.jython_task_manager.get_task_result(task)
# The number of documents that could not be removed
remove_failures = len(task.fail.keys())
verification_dict["ops_update"] += \
num_item_start_for_crud - remove_failures
if self.is_sync_write_enabled:
verification_dict["sync_write_committed_count"] += \
num_item_start_for_crud - remove_failures
# Edit doc_gen template to read the mutated value as well
sub_doc_gen.template = sub_doc_gen.template \
.replace(" }}", ", \"mutated\": \"\" }}")
# Read all the values to validate update operation
task = self.task.async_load_gen_sub_docs(
self.cluster, def_bucket, sub_doc_gen, "read", 0,
batch_size=100, process_concurrency=8,
timeout_secs=self.sdk_timeout)
self.task.jython_task_manager.get_task_result(task)
op_failed_tbl = TableView(self.log.error)
op_failed_tbl.set_headers(["Delete failed key", "Value"])
# Collect read operations that failed
for key, value in task.fail.items():
op_failed_tbl.add_row([key, value["error"]])
op_failed_tbl.display("Delete succeeded for keys:")
# Expect the reads to have failed indicating the sub-documents are
# no longer accessible.
self.assertEqual(len(op_failed_tbl.rows),
num_item_start_for_crud, "Delete failed for few keys")
else:
self.log.warning("Unsupported doc_operation")
self.log.info("Wait for ep_all_items_remaining to become '0'")
self.bucket_util._wait_for_stats_all_buckets(self.cluster,
self.cluster.buckets)
# Validate verification_dict and validate
failed = self.durability_helper.verify_vbucket_details_stats(
def_bucket, self.cluster_util.get_kv_nodes(self.cluster),
vbuckets=self.cluster.vbuckets,
expected_val=verification_dict)
if failed:
self.fail("Cbstat vbucket-details verification failed")
self.log.info("Validating doc_count")
self.bucket_util.verify_stats_all_buckets(self.cluster, self.num_items)
def test_timeout_with_crud_failures(self):
"""
Test to make sure timeout is handled in durability calls
and no documents are loaded when durability cannot be met using
error simulation in server node side
This will validate failure in majority of nodes, where durability will
surely fail for all CRUDs
1. Select a node from the cluster to simulate the specified error
2. Perform CRUD on the target bucket with given timeout
3. Using cbstats to verify no operations succeeds
4. Revert the error scenario from the cluster to resume durability
5. Validate all mutations are succeeded after reverting
the error condition
Note: self.sdk_timeout values is considered as 'seconds'
"""
# Local methods to validate vb_seqno
def compare_vb_stat(stat_1, stat_2, vb, comparison="!="):
keys_to_check = ["high_seqno", "high_completed_seqno"]
result = True
for key in keys_to_check:
if vb in stat_1.keys():
if stat_1[vb]["uuid"] != stat_2[vb]["uuid"]:
self.log_failure(
"Mismatch in vb-%s UUID. %s != %s" %
(vb, stat_1[vb]["uuid"], stat_2[vb]["uuid"]))
if comparison == "!=":
if stat_1[vb][key] != stat_2[vb][key]:
result = False
self.log.warning(
"Mismatch in vb-%s stat %s. %s != %s" %
(vb, key, stat_1[vb][key], stat_2[vb][key]))
elif stat_1[vb][key] == stat_2[vb][key]:
result = False
self.log.warning(
"Stat not updated for vb-%s stat %s. "
"%s == %s" %
(vb, key, stat_1[vb][key], stat_2[vb][key]))
return result
def validate_vb_seqno_stats():
"""
:return retry_validation: Boolean denoting to retry validation
"""
retry_validation = False
vb_info["post_timeout"][node.ip] = \
cbstat_obj[node.ip].vbucket_seqno(self.bucket.name)
for tem_vb_num in range(self.cluster_util.vbuckets):
tem_vb_num = str(tem_vb_num)
if tem_vb_num not in affected_vbs:
if compare_vb_stat(vb_info["init"][node.ip],
vb_info["post_timeout"][node.ip],
tem_vb_num) is False:
self.log_failure("Unaffected vb-%s stat" % tem_vb_num)
elif int(tem_vb_num) in target_nodes_vbuckets["active"]:
if compare_vb_stat(vb_info["init"][node.ip],
vb_info["post_timeout"][node.ip],
tem_vb_num) is False:
self.log.warning("%s - mismatch in %s vb-%s seq_no" %
(node.ip, "active", tem_vb_num))
elif int(tem_vb_num) in target_nodes_vbuckets["replica"]:
if compare_vb_stat(vb_info["init"][node.ip],
vb_info["post_timeout"][node.ip],
tem_vb_num,
comparison="==") is False:
retry_validation = True
self.log.warning("%s - mismatch in %s vb-%s seq_no" %
(node.ip, "replica", tem_vb_num))
return retry_validation
shell_conn = dict()
cbstat_obj = dict()
error_sim = dict()
target_nodes_vbuckets = dict()
vb_info = dict()
tasks = dict()
doc_gen = dict()
affected_vbs = list()
target_nodes_vbuckets["active"] = []
target_nodes_vbuckets["replica"] = []
vb_info["init"] = dict()
vb_info["post_timeout"] = dict()
vb_info["afterCrud"] = dict()
# Override crud_batch_size to minimum value for testing
self.crud_batch_size = 5
self.key = "test_collections"
self.sdk_timeout = 3
# Select target vbucket type to load_docs
target_vb_type = "replica"
if self.simulate_error == CouchbaseError.STOP_PERSISTENCE \
and self.durability_level \
== Bucket.DurabilityLevel.MAJORITY_AND_PERSIST_TO_ACTIVE:
target_vb_type = "active"
# Create required scope/collection for successful CRUD operation
if self.scope_name != CbServer.default_scope:
self.scope_name = self.bucket_util.get_random_name()
self.collection_name = self.bucket_util.get_random_name()
self.log.info("Creating scope::collection %s::%s" %
(self.scope_name, self.collection_name))
self.create_scope_collection()
# Load docs into created collection
self.log.info("Loading data into created collection")
load_gen = doc_generator(self.key, 0, self.num_items)
task = self.task.async_load_gen_docs(
self.cluster,
self.bucket,
load_gen,
"create",
0,
scope=self.scope_name,
collection=self.collection_name,
sdk_client_pool=self.sdk_client_pool,
batch_size=200,
process_concurrency=8,
timeout_secs=60)
self.task_manager.get_task_result(task)
if self.subdoc_test:
load_gen = sub_doc_generator(self.key, 0, self.num_items / 2)
task = self.task.async_load_gen_sub_docs(
self.cluster,
self.bucket,
load_gen,
Bucket_Op.SubDocOps.INSERT,
timeout_secs=self.sdk_timeout,
compression=self.sdk_compression,
path_create=True,
batch_size=100,
process_concurrency=8,
durability=self.durability_level,
scope=self.scope_name,
collection=self.collection_name,
sdk_client_pool=self.sdk_client_pool)
self.task_manager.get_task_result(task)
self.bucket.scopes[self.scope_name].collections[
self.collection_name].num_items = self.num_items
target_nodes = DurabilityHelper.getTargetNodes(self.cluster,
self.nodes_init,
self.num_nodes_affected)
for node in target_nodes:
shell_conn[node.ip] = RemoteMachineShellConnection(node)
cbstat_obj[node.ip] = Cbstats(shell_conn[node.ip])
target_nodes_vbuckets["active"] += \
cbstat_obj[node.ip].vbucket_list(self.bucket.name,
vbucket_type="active")
target_nodes_vbuckets["replica"] += \
cbstat_obj[node.ip].vbucket_list(self.bucket.name,
vbucket_type="replica")
vb_info["init"][node.ip] = cbstat_obj[node.ip].vbucket_seqno(
self.bucket.name)
error_sim[node.ip] = CouchbaseError(self.log, shell_conn[node.ip])
curr_time = int(time.time())
expected_timeout = curr_time + self.sdk_timeout
if target_vb_type == "active":
target_vbs = list(
set(target_nodes_vbuckets[target_vb_type]).difference(
set(target_nodes_vbuckets["replica"])))
else:
target_vbs = list(
set(target_nodes_vbuckets[target_vb_type]).difference(
set(target_nodes_vbuckets["active"])))
# Create required doc_generators
doc_gen["create"] = doc_generator(self.key,
self.num_items,
self.crud_batch_size,
target_vbucket=target_vbs)
doc_gen["delete"] = doc_generator(self.key,
0,
self.crud_batch_size,
target_vbucket=target_vbs)
doc_gen["read"] = doc_generator(self.key,
int(self.num_items / 3),
self.crud_batch_size,
target_vbucket=target_vbs)
doc_gen["update"] = doc_generator(self.key,
int(self.num_items / 2),
self.crud_batch_size,
target_vbucket=target_vbs)
# Create required subdoc generators
doc_gen["insert"] = sub_doc_generator(self.key,
int(self.num_items / 2),
self.crud_batch_size,
target_vbucket=target_vbs)
doc_gen["upsert"] = sub_doc_generator_for_edit(
self.key,
0,
self.crud_batch_size,
template_index=1,
target_vbucket=target_vbs)
doc_gen["remove"] = sub_doc_generator(self.key,
0,
self.crud_batch_size,
target_vbucket=target_vbs)
# Perform specified action
for node in target_nodes:
error_sim[node.ip].create(self.simulate_error,
bucket_name=self.bucket.name)
self.sleep(5, "Wait for error_simulation to take effect")
ops_to_perform = [
Bucket_Op.DocOps.CREATE, Bucket_Op.DocOps.UPDATE,
Bucket_Op.DocOps.READ, Bucket_Op.DocOps.DELETE
]
if self.subdoc_test:
ops_to_perform = [
Bucket_Op.SubDocOps.INSERT, Bucket_Op.SubDocOps.UPSERT,
Bucket_Op.SubDocOps.REMOVE
]
for op_type in ops_to_perform:
self.log.info("Starting doc op %s" % op_type)
if op_type in Bucket_Op.DOC_OPS:
tasks[op_type] = self.task.async_load_gen_docs(
self.cluster,
self.bucket,
doc_gen[op_type],
op_type,
0,
scope=self.scope_name,
collection=self.collection_name,
sdk_client_pool=self.sdk_client_pool,
batch_size=1,
process_concurrency=8,
durability=self.durability_level,
timeout_secs=self.sdk_timeout,
suppress_error_table=True,
print_ops_rate=False,
skip_read_on_error=True)
else:
tasks[op_type] = self.task.async_load_gen_sub_docs(
self.cluster,
self.bucket,
doc_gen[op_type],
op_type,
0,
scope=self.scope_name,
collection=self.collection_name,
sdk_client_pool=self.sdk_client_pool,
path_create=True,
batch_size=1,
process_concurrency=8,
durability=self.durability_level,
timeout_secs=self.sdk_timeout,
print_ops_rate=False)
self.task.jython_task_manager.get_task_result(tasks[op_type])
# Validate task failures
if op_type == Bucket_Op.DocOps.READ:
# Validation for read task
if len(tasks[op_type].fail.keys()) != 0:
self.log_failure("Read failed for few docs: %s" %
tasks[op_type].fail.keys())
else:
# Validation of CRUDs - Update / Create / Delete
for doc_id, crud_result in tasks[op_type].fail.items():
vb_num = self.bucket_util.get_vbucket_num_for_key(
doc_id, self.cluster_util.vbuckets)
if SDKException.DurabilityAmbiguousException \
not in str(crud_result["error"]):
self.log_failure(
"Invalid exception for doc %s, vb %s: %s" %
(doc_id, vb_num, crud_result))
# Revert the specified error scenario
for node in target_nodes:
error_sim[node.ip].revert(self.simulate_error,
bucket_name=self.bucket.name)
# Check whether the timeout triggered properly
if int(time.time()) < expected_timeout:
self.log_failure("Timed-out before expected time")
for op_type in ops_to_perform:
if op_type == Bucket_Op.DocOps.READ:
continue
while doc_gen[op_type].has_next():
doc_id, _ = doc_gen[op_type].next()
affected_vbs.append(
str(
self.bucket_util.get_vbucket_num_for_key(
doc_id, self.cluster_util.vbuckets)))
affected_vbs = list(set(affected_vbs))
# Fetch latest stats and validate the seq_nos are not updated
for node in target_nodes:
retry_count = 0
max_retry = 3
while retry_count < max_retry:
self.log.info("Trying to validate vbseq_no stats: %d" %
(retry_count + 1))
retry_count += 1
retry_required = validate_vb_seqno_stats()
if not retry_required:
break
self.sleep(5, "Sleep for vbseq_no stats to update")
else:
# This will be exited only if `break` condition is not met
self.log_failure("validate_vb_seqno_stats verification failed")
self.validate_test_failure()
# Get SDK Client from client_pool
sdk_client = self.sdk_client_pool.get_client_for_bucket(
self.bucket, self.scope_name, self.collection_name)
# Doc error validation
for op_type in ops_to_perform:
task = tasks[op_type]
if self.nodes_init == 1 \
and op_type != Bucket_Op.DocOps.READ \
and len(task.fail.keys()) != (doc_gen[op_type].end
- doc_gen[op_type].start):
self.log_failure(
"Failed keys %d are less than expected %d" %
(len(task.fail.keys()),
(doc_gen[op_type].end - doc_gen[op_type].start)))
# Create table objects for display
table_view = TableView(self.log.error)
ambiguous_table_view = TableView(self.log.info)
table_view.set_headers(["Key", "vBucket", "Exception"])
ambiguous_table_view.set_headers(["Key", "vBucket"])
# Iterate failed keys for validation
for doc_key, doc_info in task.fail.items():
vb_for_key = self.bucket_util.get_vbucket_num_for_key(doc_key)
if SDKException.DurabilityAmbiguousException \
not in str(doc_info["error"]):
table_view.add_row(
[doc_key, vb_for_key, doc_info["error"]])
ambiguous_table_view.add_row([doc_key, str(vb_for_key)])
if op_type not in Bucket_Op.SUB_DOC_OPS:
retry_success = \
self.durability_helper.retry_for_ambiguous_exception(
sdk_client, op_type, doc_key, doc_info)
if not retry_success:
self.log_failure("%s failed in retry for %s" %
(op_type, doc_key))
# Display the tables (if any errors)
table_view.display("Unexpected exception during %s" % op_type)
ambiguous_table_view.display("D_Ambiguous exception during %s" %
op_type)
# Release the acquired client
self.sdk_client_pool.release_client(sdk_client)
# Verify doc count after expected CRUD failure
self.bucket_util._wait_for_stats_all_buckets()
self.bucket_util.validate_docs_per_collections_all_buckets()
# Fetch latest stats and validate the values are updated
for node in target_nodes:
vb_info["afterCrud"][node.ip] = \
cbstat_obj[node.ip].vbucket_seqno(self.bucket.name)
if vb_info["init"][node.ip] == vb_info["afterCrud"][node.ip]:
self.log_failure("vBucket seq_no stats not updated")
# Disconnect the shell connection
for node in target_nodes:
shell_conn[node.ip].disconnect()
self.validate_test_failure()
class ConcurrentFailoverTests(AutoFailoverBaseTest):
def setUp(self):
super(ConcurrentFailoverTests, self).setUp()
self.log_setup_status(self.__class__.__name__, "started",
self.setUp.__name__)
#######################################################################
# List of params to be used for failover
# self.timeout from AutoFailoverBaseTest
# self.max_count from AutoFailoverBaseTest
# To track the triggered failover events
self.fo_events = 0
# failover_order to be used for failover_order_tests
# Format:
# kv:kv-kv:index_query
# * Iteration marked by '-'
# * Nodes marked by ':'
# * Service within a node denoted by '_' (underscore)
# In the above case,
# - Loop #0 :: 2 KV nodes will be failed
# - Loop #1 :: 1 KV + 1 node running n1ql+index will be failed
self.failover_order = \
self.input.param("failover_order", "kv").split("-")
self.failover_method = \
self.input.param("failover_method", CouchbaseError.STOP_MEMCACHED)
# Failover type determines the order of FO (Auto/Graceful/Hard).
# Length of this should match the len(self.failover_order)
# Example -> auto-graceful-auto
# This expects first set of nodes from failover_order to undergo
# AUTO FO followed by GRACEFUL FO of nodes through API and then
# followed by AUTO FO of 3rd set of nodes as defined by failover_order
self.failover_type = \
self.input.param("failover_type",
CbServer.Failover.Type.AUTO).split("-")
# End of params to be used for failover
#######################################################################
self.load_during_fo = self.input.param("load_during_fo", False)
self.log.info("Updating Auto-failover settings")
self.rest.update_autofailover_settings(enabled=True,
timeout=self.timeout,
maxCount=self.max_count)
# Find the bucket with least replica to check the Auto-FO possibility
self.min_bucket_replica = Bucket.ReplicaNum.THREE
for bucket in self.cluster.buckets:
if bucket.replicaNumber < self.min_bucket_replica:
self.min_bucket_replica = bucket.replicaNumber
# Hold the dict of {node_obj_to_fail: failover_type, ...}
self.nodes_to_fail = None
# To display test execution status
self.test_status_tbl = TableView(self.log.critical)
self.auto_fo_settings_tbl = TableView(self.log.critical)
self.test_status_tbl.set_headers(
["Node", "Services", "Node status", "Failover type"])
self.auto_fo_settings_tbl.set_headers([
"Enabled", "Auto FO count", "Max Events configured",
"Auto FO timeout", "Disk Auto FO", "Disk Auto FO timeout"
])
self.validate_failover_settings(True, self.timeout, 0, self.max_count)
# Init sdk_client_pool if not initialized before
if self.sdk_client_pool is None:
self.init_sdk_pool_object()
CollectionBase.create_sdk_clients(
self.task_manager.number_of_threads, self.cluster.master,
self.cluster.buckets, self.sdk_client_pool,
self.sdk_compression)
# Perform initial collection load
self.__load_initial_collection_data()
self.log_setup_status(self.__class__.__name__, "complete",
self.setUp.__name__)
def tearDown(self):
self.log_setup_status(self.__class__.__name__, "started",
self.tearDown.__name__)
# Select KV node as a cluster master to perform tearDown rebalance out
self.cluster_util.update_cluster_nodes_service_list(self.cluster)
self.cluster.master = self.cluster.kv_nodes[0]
self.log.info("Resetting auto-failover settings to default")
self.rest.update_autofailover_settings(enabled=True,
timeout=120,
maxCount=1)
self.log_setup_status(self.__class__.__name__, "complete",
self.tearDown.__name__)
super(ConcurrentFailoverTests, self).tearDown()
def __get_collection_load_spec(self, doc_ttl=0):
"""
Set doc_ttl for loading doc during failover operations
"""
d_level = Bucket.DurabilityLevel.NONE
if self.num_replicas != Bucket.ReplicaNum.THREE:
random.seed(round(time() * 1000))
# Since durability is not supported with replicas=3
d_level = choice([
Bucket.DurabilityLevel.NONE, Bucket.DurabilityLevel.MAJORITY,
Bucket.DurabilityLevel.MAJORITY_AND_PERSIST_TO_ACTIVE,
Bucket.DurabilityLevel.PERSIST_TO_MAJORITY
])
return {
# Scope/Collection ops params
MetaCrudParams.COLLECTIONS_TO_DROP:
3,
MetaCrudParams.SCOPES_TO_DROP:
1,
MetaCrudParams.SCOPES_TO_ADD_PER_BUCKET:
3,
MetaCrudParams.COLLECTIONS_TO_ADD_FOR_NEW_SCOPES:
5,
MetaCrudParams.COLLECTIONS_TO_ADD_PER_BUCKET:
10,
MetaCrudParams.BUCKET_CONSIDERED_FOR_OPS:
"all",
MetaCrudParams.SCOPES_CONSIDERED_FOR_OPS:
"all",
MetaCrudParams.COLLECTIONS_CONSIDERED_FOR_OPS:
"all",
# Doc loading params
"doc_crud": {
MetaCrudParams.DocCrud.COMMON_DOC_KEY: "test_collections",
MetaCrudParams.DocCrud.NUM_ITEMS_FOR_NEW_COLLECTIONS: 5000,
MetaCrudParams.DocCrud.CREATE_PERCENTAGE_PER_COLLECTION: 20,
MetaCrudParams.DocCrud.READ_PERCENTAGE_PER_COLLECTION: 10,
MetaCrudParams.DocCrud.UPDATE_PERCENTAGE_PER_COLLECTION: 10,
MetaCrudParams.DocCrud.DELETE_PERCENTAGE_PER_COLLECTION: 10,
},
# Doc_loading task options
MetaCrudParams.DOC_TTL:
doc_ttl,
MetaCrudParams.DURABILITY_LEVEL:
d_level,
MetaCrudParams.SKIP_READ_ON_ERROR:
True,
MetaCrudParams.SUPPRESS_ERROR_TABLE:
False,
# The below is to skip populating success dictionary for reads
MetaCrudParams.SKIP_READ_SUCCESS_RESULTS:
True,
MetaCrudParams.RETRY_EXCEPTIONS: [],
MetaCrudParams.IGNORE_EXCEPTIONS: [],
MetaCrudParams.COLLECTIONS_CONSIDERED_FOR_CRUD:
"all",
MetaCrudParams.SCOPES_CONSIDERED_FOR_CRUD:
"all",
MetaCrudParams.BUCKETS_CONSIDERED_FOR_CRUD:
"all"
}
@property
def num_nodes_to_be_failover(self):
def is_safe_to_fo(service):
is_safe = False
# Reference doc:
# https://docs.couchbase.com/server/7.0/learn/clusters-and-availability/automatic-failover.html#failover-policy
# Service / Data loss check
if service == CbServer.Services.KV:
if self.min_bucket_replica > 0 \
and node_count[CbServer.Services.KV] > 2:
is_safe = True
# elif service == CbServer.Services.INDEX:
# if node_count[CbServer.Services.INDEX] > 1:
# is_safe = True
else:
# All other services require at least 2 nodes to FO
if node_count[service] > 1:
is_safe = True
return is_safe
def decr_node_count(service):
node_count[service] -= 1
if service == CbServer.Services.KV:
self.min_bucket_replica -= 1
fo_nodes = set()
num_unreachable_nodes = 0
active_cluster_nodes = len(self.rest.get_nodes(inactive=False))
total_nodes = active_cluster_nodes + self.fo_events + self.nodes_in
min_nodes_for_quorum = int(total_nodes / 2) + 1
max_allowed_unreachable_nodes = total_nodes - min_nodes_for_quorum
# Quorum check before checking individual services
for _, failure_type in self.nodes_to_fail.items():
if failure_type in ["stop_couchbase", "network_split"]:
num_unreachable_nodes += 1
if num_unreachable_nodes > max_allowed_unreachable_nodes:
return 0
# End of quorum check
node_count = dict()
node_count[CbServer.Services.KV] = len(self.cluster.kv_nodes)
node_count[CbServer.Services.INDEX] = len(self.cluster.index_nodes)
node_count[CbServer.Services.N1QL] = len(self.cluster.query_nodes)
node_count[CbServer.Services.EVENTING] = len(
self.cluster.eventing_nodes)
node_count[CbServer.Services.BACKUP] = len(self.cluster.backup_nodes)
kv_nodes = dict()
non_kv_nodes = dict()
for node, failure_type in self.nodes_to_fail.items():
if CbServer.Services.KV in node.services:
kv_nodes[node] = failure_type
else:
non_kv_nodes[node] = failure_type
kv_service = CbServer.Services.KV
for node, failure_type in kv_nodes.items():
if kv_service in node.services:
# KV takes priority over other nodes in deciding the Auto-FO
if self.max_count > (len(fo_nodes) + self.fo_events) \
and is_safe_to_fo(kv_service):
fo_nodes.add(node)
for service_type in node.services:
# Decrement the node count for the service
decr_node_count(service_type)
else:
self.log.warning("KV failover not possible")
# No nodes should be FO'ed if KV FO is not possible
fo_nodes = set()
# Break to make sure no other service failover
# will be expected
break
else:
nodes_not_failed = set()
for node, failure_type in non_kv_nodes.items():
# For other nodes, we need to check if the node running
# other services are also safe to failover
for service_type in node.services:
if self.max_count == (len(fo_nodes) + self.fo_events):
# Check to see whether the max_fo count is reached
self.log.info("Max auto-fo count already reached")
break
if not is_safe_to_fo(service_type):
self.log.warning("Service '%s' not safe to failover" %
service_type)
for t_node in fo_nodes:
if service_type in t_node.services \
and kv_service not in t_node.services:
nodes_not_failed.add(t_node)
break
else:
fo_nodes.add(node)
for service_type in node.services:
# Decrement the node count for the service
decr_node_count(service_type)
fo_nodes = fo_nodes.difference(nodes_not_failed)
expected_num_nodes = len(fo_nodes)
self.log.info("Expected nodes to be failed over: %d" %
expected_num_nodes)
return expected_num_nodes
def __get_server_obj(self, node):
for server in self.cluster.servers:
if server.ip == node.ip:
return server
def __update_server_obj(self):
temp_data = self.nodes_to_fail
self.nodes_to_fail = dict()
for node_obj, fo_type in temp_data.items():
self.nodes_to_fail[self.__get_server_obj(node_obj)] = fo_type
def __load_initial_collection_data(self):
load_spec = self.__get_collection_load_spec()
load_spec[MetaCrudParams.SCOPES_TO_DROP] = 0
load_spec[MetaCrudParams.COLLECTIONS_TO_DROP] = 0
load_spec[MetaCrudParams.SCOPES_TO_ADD_PER_BUCKET] = 2
load_spec[MetaCrudParams.COLLECTIONS_TO_ADD_FOR_NEW_SCOPES] = 5
load_spec["doc_crud"][
MetaCrudParams.DocCrud.NUM_ITEMS_FOR_NEW_COLLECTIONS] = 10000
def __perform_doc_ops(self, durability=None, validate_num_items=True):
load_spec = self.__get_collection_load_spec()
if durability and self.num_replicas != Bucket.ReplicaNum.THREE:
load_spec[MetaCrudParams.DURABILITY_LEVEL] = durability
self.log.info("Performing doc_ops with durability level=%s" %
load_spec[MetaCrudParams.DURABILITY_LEVEL])
doc_loading_task = \
self.bucket_util.run_scenario_from_spec(
self.task,
self.cluster,
self.cluster.buckets,
load_spec,
mutation_num=0,
batch_size=self.batch_size,
process_concurrency=self.process_concurrency)
if doc_loading_task.result is False:
self.fail("Collection CRUDs failure")
if validate_num_items:
# Verify initial doc load count
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)
def get_nodes_to_fail(self, services_to_fail, dynamic_fo_method=False):
nodes = dict()
# Update the list of service-nodes mapping in the cluster object
self.cluster_util.update_cluster_nodes_service_list(self.cluster)
nodes_in_cluster = self.rest.get_nodes()
for services in services_to_fail:
node_services = set(services.split("_"))
for index, node in enumerate(nodes_in_cluster):
if node_services == set(node.services):
fo_type = self.failover_method
if dynamic_fo_method:
fo_type = "stop_couchbase"
if CbServer.Services.KV in node_services:
fo_type = CouchbaseError.STOP_MEMCACHED
nodes[node] = fo_type
# Remove the node to be failed to avoid double insertion
nodes_in_cluster.pop(index)
break
return nodes
def validate_failover_settings(self, enabled, timeout, count, max_count):
settings = self.rest.get_autofailover_settings()
self.auto_fo_settings_tbl.rows = list()
self.auto_fo_settings_tbl.rows.append([
str(settings.enabled),
str(settings.count),
str(settings.maxCount),
str(settings.timeout),
str(settings.failoverOnDataDiskIssuesEnabled),
str(settings.failoverOnDataDiskIssuesTimeout)
])
self.auto_fo_settings_tbl.display("Auto failover status:")
err_msg = "Mismatch in '%s' field. " \
"Cluster FO data: " + str(settings.__dict__)
self.assertEqual(settings.enabled, enabled, err_msg % "enabled")
self.assertEqual(settings.timeout, timeout, err_msg % "timeout")
self.assertEqual(settings.count, count, err_msg % "count")
self.assertEqual(settings.maxCount, max_count, err_msg % "maxCount")
def __display_failure_node_status(self, message):
self.test_status_tbl.rows = list()
cluster_nodes = self.rest.get_nodes(inactive=True)
for node, fo_type in self.nodes_to_fail.items():
node = [
t_node for t_node in cluster_nodes if t_node.ip == node.ip
][0]
self.test_status_tbl.add_row([
node.ip, ",".join(node.services), node.clusterMembership,
fo_type
])
self.test_status_tbl.display(message)
def __update_unaffected_node(self):
cluster_nodes = self.rest.get_nodes()
for cluster_node in cluster_nodes:
for failure_node in self.nodes_to_fail:
if cluster_node.ip == failure_node.ip:
break
else:
self.orchestrator = cluster_node
self.rest = RestConnection(self.orchestrator)
self.cluster.master = cluster_node
self.log.info("Node for REST APIs: %s" % cluster_node.ip)
break
def test_max_events_range(self):
"""
- Try setting max_events 1 to 100 (Valid)
- Try setting 0 > max_events > 100 (Invalid - negative)
- Current timeout_range (5-120seconds) should work"
"""
self.log.info("Testing max_event counts")
enable_failover = True
timeout_val = 10
max_plus_1 = CbServer.Failover.MAX_EVENTS + 1
# Set max_events between (min, max)
for num_events in range(CbServer.Failover.MIN_EVENTS, max_plus_1):
status = self.rest.update_autofailover_settings(
enable_failover, timeout_val, maxCount=num_events)
self.assertTrue(status, "Failed to set max events=%s" % num_events)
self.validate_failover_settings(enable_failover, timeout_val, 0,
num_events)
for num_events in [0, max_plus_1]:
self.log.info("Testing max_event_count=%s" % num_events)
status = self.rest.update_autofailover_settings(
enable_failover, timeout_val, maxCount=max_plus_1)
self.assertFalse(status, "Able to set max events=%s" % num_events)
self.validate_failover_settings(enable_failover, timeout_val, 0,
CbServer.Failover.MAX_EVENTS)
def __run_test(self):
# Validate count before the start of failover procedure
self.validate_failover_settings(True, self.timeout, self.fo_events,
self.max_count)
# Before failure - nodes' information
self.__display_failure_node_status("Nodes to be failed")
try:
rest_nodes = self.rest.get_nodes()
if self.current_fo_strategy == CbServer.Failover.Type.AUTO:
expected_fo_nodes = self.num_nodes_to_be_failover
self.fo_events += expected_fo_nodes
self.__update_server_obj()
failover_task = ConcurrentFailoverTask(
task_manager=self.task_manager,
master=self.orchestrator,
servers_to_fail=self.nodes_to_fail,
expected_fo_nodes=self.fo_events,
task_type="induce_failure")
self.task_manager.add_new_task(failover_task)
self.task_manager.get_task_result(failover_task)
if failover_task.result is False:
self.fail("Failure during concurrent failover procedure")
elif self.current_fo_strategy == CbServer.Failover.Type.GRACEFUL:
for node in self.nodes_to_fail:
node = [
t_node for t_node in rest_nodes if t_node.ip == node.ip
][0]
status = self.rest.fail_over(node.id, graceful=True)
if status is False:
self.fail("Graceful failover failed for %s" % node)
self.sleep(5, "Wait for failover to start")
reb_result = self.rest.monitorRebalance()
self.assertTrue(reb_result, "Graceful failover failed")
elif self.current_fo_strategy == CbServer.Failover.Type.FORCEFUL:
for node in self.nodes_to_fail:
node = [
t_node for t_node in rest_nodes if t_node.ip == node.ip
][0]
status = self.rest.fail_over(node.id, graceful=False)
if status is False:
self.fail("Hard failover failed for %s" % node)
self.sleep(5, "Wait for failover to start")
reb_result = self.rest.monitorRebalance()
self.assertTrue(reb_result, "Hard failover failed")
except Exception as e:
self.log.error("Exception occurred: %s" % str(e))
finally:
# Disable auto-fo after the expected time limit
self.rest.update_autofailover_settings(enabled=False,
timeout=self.timeout,
maxCount=self.max_count)
if self.current_fo_strategy == CbServer.Failover.Type.AUTO:
failover_task = ConcurrentFailoverTask(
task_manager=self.task_manager,
master=self.orchestrator,
servers_to_fail=self.nodes_to_fail,
task_type="revert_failure")
self.task_manager.add_new_task(failover_task)
self.task_manager.get_task_result(failover_task)
if failover_task.result is False:
self.fail("Failure during failover operation")
# Enable back prev auto_fo settings
self.sleep(15, "Wait before enabling back auto-fo")
self.rest.update_autofailover_settings(enabled=True,
timeout=self.timeout,
maxCount=self.max_count)
# After failure - failed nodes' information
self.__display_failure_node_status("Nodes status failure")
self.bucket_util.print_bucket_stats(self.cluster)
# Validate count at the end of failover procedure
self.validate_failover_settings(True, self.timeout, self.fo_events,
self.max_count)
def test_concurrent_failover(self):
"""
Common code to run failover tests
"""
self.current_fo_strategy = None
load_data_after_fo = self.input.param("post_failover_data_load", True)
exception = None
for index, services_to_fo in enumerate(self.failover_order):
self.current_fo_strategy = self.failover_type[index]
# servers_to_fail -> kv:index / kv:index_kv / index:n1ql
services_to_fo = services_to_fo.split(":")
# servers_to_fail -> [kv, index] / [kv, index_kv]
self.nodes_to_fail = self.get_nodes_to_fail(services_to_fo)
self.__update_unaffected_node()
try:
self.__run_test()
except Exception as e:
# Making sure to remove failed nodes before failing the test
self.cluster_util.rebalance(self.cluster)
self.fail("Exception occurred: %s" % str(e))
# Perform collection crud + doc_ops before rebalance operation
if load_data_after_fo:
try:
self.__perform_doc_ops(durability="NONE",
validate_num_items=False)
except Exception as e:
exception = e
break
self.sleep(20, "Wait for failed nodes to recover completely")
if choice([True, False]):
# Add back all nodes and rebalance
self.log.info("Performing node add back operation")
rest_nodes = self.rest.get_nodes(inactive=True)
for node in rest_nodes:
if node.clusterMembership == "inactiveFailed":
self.rest.add_back_node(node.id)
if CbServer.Services.KV in node.services:
self.rest.set_recovery_type(node.id, "delta")
result = self.cluster_util.rebalance(self.cluster)
else:
# Eject nodes and rebalance
self.log.info("Ejecting all failed nodes from the cluster")
result = self.cluster_util.rebalance(self.cluster)
if exception:
self.fail(exception)
self.assertTrue(result, "Final rebalance failed")
# Validate count is reset back to 0 after rebalance operation
self.validate_failover_settings(True, self.timeout, 0, self.max_count)
# Perform collection crud + doc_ops
if load_data_after_fo:
durability_val = None
for bucket in self.cluster.buckets:
# If we have bucket_replica=3, force use level=NONE
if bucket.replicaNumber == Bucket.ReplicaNum.THREE:
durability_val = Bucket.DurabilityLevel.NONE
break
# If we have ephemeral bucket, force use level=MAJORITY
if bucket.bucketType == Bucket.Type.EPHEMERAL:
durability_val = Bucket.DurabilityLevel.MAJORITY
self.__perform_doc_ops(durability=durability_val)
def test_split_brain(self):
"""
Test params:
split_nodes - Accepts string of pattern 'a_b:c-b_a:d'
This creates a barriers like,
Node running services a_b & c to ignore anything from
nodes running services b_a & d and vice versa
"""
def get_nodes_based_on_services(services):
nodes = list()
services = services.split(":")
for t_service in services:
t_service = t_service.split("_")
t_service.sort()
for c_node in cluster_nodes:
if c_node.services == t_service:
nodes.append(self.__get_server_obj(c_node))
# Remove nodes from cluster_nodes once picked
# to avoid picking same node again
cluster_nodes.remove(c_node)
break
return nodes
def create_split_between_nodes(dest_nodes, src_nodes):
for ssh_node in dest_nodes:
shell_conn = RemoteMachineShellConnection(ssh_node)
for src_node in src_nodes:
shell_conn.execute_command(
"iptables -A INPUT -s %s -j DROP" % src_node.ip)
shell_conn.disconnect()
def get_num_nodes_to_fo(num_nodes_affected,
service_count_affected_nodes,
service_count_unaffected_nodes):
nodes_to_fo = num_nodes_affected
for t_server, count in service_count_affected_nodes.items():
if t_server not in service_count_unaffected_nodes \
or service_count_unaffected_nodes[t_server] < 1:
nodes_to_fo -= service_count_affected_nodes[t_server]
return nodes_to_fo
def recover_from_split(node_list):
self.log.info("Flushing iptables rules from all nodes")
for ssh_node in node_list:
ssh_shell = RemoteMachineShellConnection(ssh_node)
ssh_shell.execute_command("iptables -F")
ssh_shell.disconnect()
self.sleep(5, "Wait for nodes to be reachable")
def post_failover_procedure():
self.rest.monitorRebalance()
self.validate_failover_settings(True, self.timeout,
num_nodes_to_fo, self.max_count)
recover_from_split(node_split_1 + node_split_2)
self.log.info("Rebalance out failed nodes")
rebalance_res = self.cluster_util.rebalance(self.cluster)
self.assertTrue(rebalance_res, "Post failover rebalance failed")
# Validate failover count reset post rebalance
self.validate_failover_settings(True, self.timeout, 0,
self.max_count)
fo_happens = self.input.param("fo_happens", True)
nodes_to_split = self.input.param("split_nodes", None).split('-')
if nodes_to_split is None:
self.fail("Nothing to test. split_nodes is None")
# Validate count before the start of failover procedure
self.validate_failover_settings(True, self.timeout, self.fo_events,
self.max_count)
self.log.info("Fetching current cluster_nodes")
self.cluster_util.find_orchestrator(self.cluster)
# cluster_nodes holds servers which are not yet selected for nw split
cluster_nodes = self.rest.get_nodes()
for node in cluster_nodes:
node.services.sort()
# Fetch actual nodes from given service list to create a split
node_split_1 = get_nodes_based_on_services(nodes_to_split[0])
node_split_2 = get_nodes_based_on_services(nodes_to_split[1])
service_count = [dict(), dict()]
for index, split_services in enumerate(nodes_to_split):
for node_services in nodes_to_split[index].split(':'):
for service in node_services.split("_"):
if service not in service_count[index]:
service_count[index][service] = 0
service_count[index][service] += 1
if len(node_split_1) > len(node_split_2):
num_nodes_to_fo = get_num_nodes_to_fo(len(node_split_2),
service_count[1],
service_count[0])
else:
num_nodes_to_fo = get_num_nodes_to_fo(len(node_split_1),
service_count[0],
service_count[1])
self.log.info(
"N/w split between -> [%s] || [%s]. Expect %s fo_events" %
([n.ip for n in node_split_1], [n.ip for n in node_split_2
], num_nodes_to_fo))
try:
create_split_between_nodes(node_split_1, node_split_2)
create_split_between_nodes(node_split_2, node_split_1)
self.sleep(self.timeout, "Wait for configured fo_timeout")
self.sleep(15, "Extra sleep to avoid fail results")
if fo_happens:
self.log.info("Expecting failover to be triggered")
post_failover_procedure()
elif len([
t_serv for t_serv in self.services_init.split("-")
if CbServer.Services.KV in t_serv
]) > 2:
self.log.info("Expecting no failover will be triggered")
self.validate_failover_settings(True, self.timeout, 0,
self.max_count)
if (self.nodes_init % 2) == 1:
# Pick new master based on split network
new_master = node_split_1[0]
if len(node_split_2) > len(node_split_1):
new_master = node_split_2[0]
self.sleep(10, "FO expected wrt node %s" % new_master.ip)
self.rest = RestConnection(new_master)
self.cluster.master = new_master
post_failover_procedure()
finally:
recover_from_split(node_split_1 + node_split_2)
self.sleep(5, "Wait for n/w split to heal")
rest_nodes = self.rest.get_nodes(inactive=True)
for t_node in rest_nodes:
if t_node.clusterMembership == "active":
for node in self.cluster.servers:
if node.ip == t_node.ip:
self.cluster.master = node
break
break
reb_result = self.cluster_util.rebalance(self.cluster)
self.assertTrue(reb_result, "Final rebalance failed")
def test_concurrent_failover_timer_reset(self):
"""
1. Trigger failure on destined nodes
2. Wait for little less time than failover_timeout
3. Bring back few nodes back online for few seconds
4. Make sure no auto failover triggered till next failover timeout
5. Validate auto failovers after new timeout
"""
services_to_fo = self.failover_order[0].split(":")
self.nodes_to_fail = self.get_nodes_to_fail(services_to_fo,
dynamic_fo_method=True)
expected_fo_nodes = self.num_nodes_to_be_failover
self.__update_server_obj()
rand_node = choice(self.nodes_to_fail.keys())
self.__update_unaffected_node()
self.__display_failure_node_status("Nodes to be failed")
try:
self.log.info("Starting auto-failover procedure")
failover_task = ConcurrentFailoverTask(
task_manager=self.task_manager,
master=self.orchestrator,
servers_to_fail=self.nodes_to_fail,
expected_fo_nodes=expected_fo_nodes,
task_type="induce_failure")
self.task_manager.add_new_task(failover_task)
self.sleep(int(self.timeout * 0.7),
"Wait before bringing back the failed nodes")
self.log.info("Bringing back '%s' for some time" % rand_node.ip)
new_timer = None
shell = RemoteMachineShellConnection(rand_node)
cb_err = CouchbaseError(self.log, shell)
if self.nodes_to_fail[rand_node] == CouchbaseError.STOP_MEMCACHED:
cb_err.revert(CouchbaseError.STOP_MEMCACHED)
self.sleep(10, "Wait before creating failure again")
cb_err.create(CouchbaseError.STOP_MEMCACHED)
new_timer = time()
elif self.nodes_to_fail[rand_node] == "stop_couchbase":
cb_err.revert(CouchbaseError.STOP_SERVER)
self.sleep(10, "Wait before creating failure again")
cb_err.create(CouchbaseError.STOP_SERVER)
new_timer = time()
shell.disconnect()
# Validate the previous auto-failover task failed
# due to the random_node coming back online
self.task_manager.get_task_result(failover_task)
self.assertFalse(failover_task.result,
"Nodes failed over though nodes became active")
# Validate auto_failover_settings
self.validate_failover_settings(True, self.timeout, 0,
self.max_count)
# Make sure the new auto-failover timing is honoured
new_timer = new_timer + self.timeout
while int(time()) < new_timer:
settings = self.rest.get_autofailover_settings()
if settings.count != 0:
self.fail("Nodes failed over before new failover time")
self.sleep(10, "Wait for failover rebalance to trigger")
self.rest.monitorRebalance()
# Validate auto_failover_settings after actual auto failover
self.validate_failover_settings(True, self.timeout,
expected_fo_nodes, self.max_count)
finally:
# Recover all nodes from induced failures
failover_task = ConcurrentFailoverTask(
task_manager=self.task_manager,
master=self.orchestrator,
servers_to_fail=self.nodes_to_fail,
expected_fo_nodes=expected_fo_nodes,
task_type="revert_failure")
self.task_manager.add_new_task(failover_task)
self.task_manager.get_task_result(failover_task)
self.log.info("Rebalance out the failed nodes")
result = self.cluster_util.rebalance(self.cluster)
self.assertTrue(result, "Final rebalance failed")
# Perform collection crud + doc_ops after rebalance operation
self.__perform_doc_ops()
def test_failover_during_rebalance(self):
"""
1. Start rebalance operation on the active cluster
2. Introduce failures on target nodes to trigger auto-failover
3. Validate rebalance succeeds after auto-fo trigger
"""
def get_reb_out_nodes():
nodes = list()
nodes_with_services = dict()
cluster_nodes = self.rest.get_nodes()
for node in cluster_nodes:
node.services.sort()
d_key = '_'.join(node.services)
if d_key not in nodes_with_services:
nodes_with_services[d_key] = list()
nodes_with_services[d_key].append(node)
for services in out_nodes:
services = services.split("_")
services.sort()
services = "_".join(services)
rand_node = choice(nodes_with_services[services])
nodes_with_services[services].remove(rand_node)
nodes.append(rand_node)
return nodes
self.nodes_in = self.input.param("nodes_in", 0)
add_nodes = list()
remove_nodes = list()
# Format - kv:kv_index -> 2 nodes with services [kv, kv:index]
out_nodes = self.input.param("out_nodes", "kv").split(":")
# Can take any of (in/out/swap)
rebalance_type = self.input.param("rebalance_type", "in")
services_to_fo = self.failover_order[0].split(":")
self.nodes_to_fail = self.get_nodes_to_fail(services_to_fo,
dynamic_fo_method=True)
loader_task = None
reader_task = None
if rebalance_type == "in":
add_nodes = self.cluster.servers[self.nodes_init:self.nodes_init +
self.nodes_in]
self.cluster.kv_nodes.extend(add_nodes)
elif rebalance_type == "out":
remove_nodes = get_reb_out_nodes()
elif rebalance_type == "swap":
remove_nodes = get_reb_out_nodes()
add_nodes = self.cluster.servers[self.nodes_init:self.nodes_init +
self.nodes_in]
self.cluster.kv_nodes.extend(add_nodes)
expected_fo_nodes = self.num_nodes_to_be_failover
self.__update_server_obj()
# Start doc_ops in background
if self.load_during_fo:
doc_gen = doc_generator("fo_docs", 0, 200000)
loader_task = self.task.async_continuous_doc_ops(
self.cluster,
self.cluster.buckets[0],
doc_gen,
DocLoading.Bucket.DocOps.UPDATE,
exp=5,
process_concurrency=1)
reader_task = self.task.async_continuous_doc_ops(
self.cluster,
self.cluster.buckets[0],
doc_gen,
DocLoading.Bucket.DocOps.READ,
process_concurrency=1)
self.__update_unaffected_node()
self.__display_failure_node_status("Nodes to be failed")
# Create Auto-failover task but won't start it
failover_task = ConcurrentFailoverTask(
task_manager=self.task_manager,
master=self.orchestrator,
servers_to_fail=self.nodes_to_fail,
expected_fo_nodes=expected_fo_nodes,
task_type="induce_failure")
# Start rebalance operation
self.log.info("Starting rebalance operation")
rebalance_task = self.task.async_rebalance(self.cluster,
to_add=add_nodes,
to_remove=remove_nodes)
self.sleep(max(10, 4 * self.nodes_in),
"Wait for rebalance to start before failover")
self.task_manager.add_new_task(failover_task)
try:
self.log.info("Wait for failover task to complete")
self.task_manager.get_task_result(failover_task)
failure_msg = "Auto-failover task failed"
if expected_fo_nodes == 0:
# Task is expected to fail since no failover is triggered
self.assertFalse(failover_task.result, failure_msg)
else:
self.assertTrue(failover_task.result, failure_msg)
finally:
# Disable auto-fo after the expected time limit
self.rest.update_autofailover_settings(enabled=False,
timeout=self.timeout,
maxCount=self.max_count)
# Recover all nodes from induced failures
recovery_task = ConcurrentFailoverTask(
task_manager=self.task_manager,
master=self.orchestrator,
servers_to_fail=self.nodes_to_fail,
expected_fo_nodes=expected_fo_nodes,
task_type="revert_failure")
self.task_manager.add_new_task(recovery_task)
self.task_manager.get_task_result(recovery_task)
self.task_manager.stop_task(rebalance_task)
# Enable back prev auto_fo settings
self.sleep(5, "Wait before enabling back auto-fo")
self.rest.update_autofailover_settings(enabled=True,
timeout=self.timeout,
maxCount=self.max_count)
# Validate auto_failover_settings after failover
self.validate_failover_settings(True, self.timeout, expected_fo_nodes,
self.max_count)
# Stop background doc_ops
if self.load_during_fo:
for task in [loader_task, reader_task]:
task.end_task()
self.task_manager.get_task_result(task)
# Perform collection crud + doc_ops before rebalance operation
self.__perform_doc_ops(durability="NONE", validate_num_items=False)
# Rebalance the cluster to remove failed nodes
result = self.cluster_util.rebalance(self.cluster)
self.assertTrue(result, "Rebalance failed")
# Validate auto_failover_settings after rebalance operation
self.validate_failover_settings(True, self.timeout, 0, self.max_count)
# Perform collection crud + doc_ops after rebalance operation
self.__perform_doc_ops()
class OPD:
def __init__(self):
pass
def threads_calculation(self):
self.process_concurrency = self.input.param("pc",
self.process_concurrency)
self.doc_loading_tm = TaskManager(self.process_concurrency)
def get_memory_footprint(self):
out = subprocess.Popen(
['ps', 'v', '-p', str(os.getpid())],
stdout=subprocess.PIPE).communicate()[0].split(b'\n')
vsz_index = out[0].split().index(b'RSS')
mem = float(out[1].split()[vsz_index]) / 1024
self.PrintStep("RAM FootPrint: %s" % str(mem))
return mem
def create_required_buckets(self, cluster):
if self.cluster.cloud_cluster:
return
self.log.info("Get the available memory quota")
rest = RestConnection(cluster.master)
self.info = rest.get_nodes_self()
# threshold_memory_vagrant = 100
kv_memory = self.info.memoryQuota - 100
# Creating buckets for data loading purpose
self.log.info("Create CB buckets")
self.bucket_expiry = self.input.param("bucket_expiry", 0)
ramQuota = self.input.param("ramQuota", kv_memory)
buckets = ["GleamBookUsers"] * self.num_buckets
bucket_type = self.bucket_type.split(';') * self.num_buckets
compression_mode = self.compression_mode.split(';') * self.num_buckets
self.bucket_eviction_policy = self.bucket_eviction_policy
for i in range(self.num_buckets):
bucket = Bucket({
Bucket.name: buckets[i] + str(i),
Bucket.ramQuotaMB: ramQuota / self.num_buckets,
Bucket.maxTTL: self.bucket_expiry,
Bucket.replicaNumber: self.num_replicas,
Bucket.storageBackend: self.bucket_storage,
Bucket.evictionPolicy: self.bucket_eviction_policy,
Bucket.bucketType: bucket_type[i],
Bucket.flushEnabled: Bucket.FlushBucket.ENABLED,
Bucket.compressionMode: compression_mode[i],
Bucket.fragmentationPercentage: self.fragmentation
})
self.bucket_util.create_bucket(cluster, bucket)
# rebalance the new buckets across all nodes.
self.log.info("Rebalance Starts")
self.nodes = rest.node_statuses()
rest.rebalance(otpNodes=[node.id for node in self.nodes],
ejectedNodes=[])
rest.monitorRebalance()
def create_required_collections(self, cluster, num_scopes,
num_collections):
self.scope_name = self.input.param("scope_name", "_default")
if self.scope_name != "_default":
self.bucket_util.create_scope(cluster, self.bucket,
{"name": self.scope_name})
if num_scopes > 1:
self.scope_prefix = self.input.param("scope_prefix", "VolumeScope")
for bucket in cluster.buckets:
for i in range(num_scopes):
scope_name = self.scope_prefix + str(i)
self.log.info("Creating scope: %s" % (scope_name))
self.bucket_util.create_scope(cluster.master, bucket,
{"name": scope_name})
self.sleep(0.5)
self.num_scopes += 1
for bucket in cluster.buckets:
for scope in bucket.scopes.keys():
if num_collections > 0:
self.collection_prefix = self.input.param(
"collection_prefix", "VolumeCollection")
for i in range(num_collections):
collection_name = self.collection_prefix + str(i)
self.bucket_util.create_collection(
cluster.master, bucket, scope,
{"name": collection_name})
self.sleep(0.5)
self.collections = cluster.buckets[0].scopes[
self.scope_name].collections.keys()
self.log.debug("Collections list == {}".format(self.collections))
def stop_purger(self, tombstone_purge_age=60):
"""
1. Disable ts purger
2. Create fts indexes (to create metakv, ns_config entries)
3. Delete fts indexes
4. Grep ns_config for '_deleted' to get total deleted keys count
5. enable ts purger and age = 1 mins
6. Sleep for 2 minutes
7. Grep for debug.log and check for latest tombstones purged count
8. Validate step4 count matches step 7 count for all nodes
"""
self.rest.update_tombstone_purge_age_for_removal(tombstone_purge_age)
self.rest.disable_tombstone_purger()
def get_bucket_dgm(self, bucket):
self.rest_client = BucketHelper(self.cluster.master)
dgm = self.rest_client.fetch_bucket_stats(
bucket.name)["op"]["samples"]["vb_active_resident_items_ratio"][-1]
self.log.info("Active Resident Threshold of {0} is {1}".format(
bucket.name, dgm))
return dgm
def _induce_error(self, error_condition, nodes=[]):
nodes = nodes or [self.cluster.master]
for node in nodes:
if error_condition == "stop_server":
self.cluster_util.stop_server(node)
elif error_condition == "enable_firewall":
self.cluster_util.start_firewall_on_node(node)
elif error_condition == "kill_memcached":
shell = RemoteMachineShellConnection(node)
shell.kill_memcached()
shell.disconnect()
elif error_condition == "reboot_server":
shell = RemoteMachineShellConnection(node)
shell.reboot_node()
elif error_condition == "kill_erlang":
shell = RemoteMachineShellConnection(node)
shell.kill_erlang()
shell.disconnect()
else:
self.fail("Invalid error induce option")
def _recover_from_error(self, error_condition):
for node in self.cluster.nodes_in_cluster:
if error_condition == "stop_server" or error_condition == "kill_erlang":
self.cluster_util.start_server(node)
elif error_condition == "enable_firewall":
self.cluster_util.stop_firewall_on_node(node)
for node in self.cluster.kv_nodes + [self.cluster.master]:
self.check_warmup_complete(node)
result = self.cluster_util.wait_for_ns_servers_or_assert(
[node], wait_time=1200)
self.assertTrue(result, "Server warmup failed")
def rebalance(self,
nodes_in=0,
nodes_out=0,
services=[],
retry_get_process_num=3000):
self.servs_in = list()
self.nodes_cluster = self.cluster.nodes_in_cluster[:]
self.nodes_cluster.remove(self.cluster.master)
self.servs_out = list()
services = services or ["kv"]
print "KV nodes in cluster: %s" % [
server.ip for server in self.cluster.kv_nodes
]
print "CBAS nodes in cluster: %s" % [
server.ip for server in self.cluster.cbas_nodes
]
print "INDEX nodes in cluster: %s" % [
server.ip for server in self.cluster.index_nodes
]
print "FTS nodes in cluster: %s" % [
server.ip for server in self.cluster.fts_nodes
]
print "QUERY nodes in cluster: %s" % [
server.ip for server in self.cluster.query_nodes
]
print "EVENTING nodes in cluster: %s" % [
server.ip for server in self.cluster.eventing_nodes
]
print "AVAILABLE nodes for cluster: %s" % [
server.ip for server in self.available_servers
]
if nodes_out:
if "cbas" in services:
servers = random.sample(self.cluster.cbas_nodes, nodes_out)
self.servs_out.extend(servers)
for server in servers:
self.cluster.cbas_nodes.remove(server)
if "index" in services:
servers = random.sample(self.cluster.index_nodes, nodes_out)
self.servs_out.extend(servers)
for server in servers:
self.cluster.index_nodes.remove(server)
if "fts" in services:
servers = random.sample(self.cluster.fts_nodes, nodes_out)
self.servs_out.extend(servers)
for server in servers:
self.cluster.fts_nodes.remove(server)
if "query" in services:
servers = random.sample(self.cluster.query_nodes, nodes_out)
self.servs_out.extend(servers)
for server in servers:
self.cluster.query_nodes.remove(server)
if "eventing" in services:
servers = random.sample(self.cluster.eventing_nodes, nodes_out)
self.servs_out.extend(servers)
for server in servers:
self.cluster.eventing_nodes.remove(server)
if "kv" in services:
nodes = [
node for node in self.cluster.kv_nodes
if node.ip != self.cluster.master.ip
]
servers = random.sample(nodes, nodes_out)
self.servs_out.extend(servers)
for server in servers:
self.cluster.kv_nodes.remove(server)
if nodes_in:
if "cbas" in services:
servers = random.sample(self.available_servers, nodes_in)
self.servs_in.extend(servers)
self.cluster.cbas_nodes.extend(servers)
self.available_servers = [
servs for servs in self.available_servers
if servs not in servers
]
if "index" in services:
servers = random.sample(self.available_servers, nodes_in)
self.servs_in.extend(servers)
self.cluster.index_nodes.extend(servers)
self.available_servers = [
servs for servs in self.available_servers
if servs not in servers
]
if "fts" in services:
servers = random.sample(self.available_servers, nodes_in)
self.servs_in.extend(servers)
self.cluster.fts_nodes.extend(servers)
self.available_servers = [
servs for servs in self.available_servers
if servs not in servers
]
if "query" in services:
servers = random.sample(self.available_servers, nodes_in)
self.servs_in.extend(servers)
self.cluster.query_nodes.extend(servers)
self.available_servers = [
servs for servs in self.available_servers
if servs not in servers
]
if "eventing" in services:
servers = random.sample(self.available_servers, nodes_in)
self.servs_in.extend(servers)
self.cluster.eventing_nodes.extend(servers)
self.available_servers = [
servs for servs in self.available_servers
if servs not in servers
]
if "kv" in services:
servers = random.sample(self.available_servers, nodes_in)
self.servs_in.extend(servers)
self.cluster.kv_nodes.extend(servers)
self.available_servers = [
servs for servs in self.available_servers
if servs not in servers
]
print "Servers coming in : %s with services: %s" % (
[server.ip for server in self.servs_in], services)
print "Servers going out : %s" % (
[server.ip for server in self.servs_out])
self.available_servers.extend(self.servs_out)
print "NEW AVAILABLE nodes for cluster: %s" % (
[server.ip for server in self.available_servers])
if nodes_in == nodes_out:
self.vbucket_check = False
rebalance_task = self.task.async_rebalance(
self.cluster,
self.servs_in,
self.servs_out,
services=services,
check_vbucket_shuffling=self.vbucket_check,
retry_get_process_num=retry_get_process_num)
return rebalance_task
def generate_docs(self,
doc_ops=None,
create_end=None,
create_start=None,
update_end=None,
update_start=None,
delete_end=None,
delete_start=None,
expire_end=None,
expire_start=None,
read_end=None,
read_start=None):
self.get_memory_footprint()
self.create_end = 0
self.create_start = 0
self.read_end = 0
self.read_start = 0
self.update_end = 0
self.update_start = 0
self.delete_end = 0
self.delete_start = 0
self.expire_end = 0
self.expire_start = 0
self.initial_items = self.final_items
doc_ops = doc_ops or self.doc_ops
self.mutations_to_validate = doc_ops
if "read" in doc_ops:
if read_start is not None:
self.read_start = read_start
else:
self.read_start = 0
if read_end is not None:
self.read_end = read_end
else:
self.read_end = self.num_items * self.mutation_perc / 100
if "update" in doc_ops:
if update_start is not None:
self.update_start = update_start
else:
self.update_start = 0
if update_end is not None:
self.update_end = update_end
else:
self.update_end = self.num_items * self.mutation_perc / 100
self.mutate += 1
if "delete" in doc_ops:
if delete_start is not None:
self.delete_start = delete_start
else:
self.delete_start = self.start
if delete_end is not None:
self.delete_end = delete_end
else:
self.delete_end = self.start + self.num_items * self.mutation_perc / 100
self.final_items -= (self.delete_end - self.delete_start
) * self.num_collections * self.num_scopes
if "expiry" in doc_ops:
if self.maxttl == 0:
self.maxttl = self.input.param("maxttl", 10)
if expire_start is not None:
self.expire_start = expire_start
else:
self.expire_start = self.delete_end
if expire_end is not None:
self.expire_end = expire_end
else:
self.expire_end = self.expire_start + self.num_items * self.mutation_perc / 100
self.final_items -= (self.expire_end - self.expire_start
) * self.num_collections * self.num_scopes
if "create" in doc_ops:
if create_start is not None:
self.create_start = create_start
else:
self.create_start = self.end
self.start = self.create_start
if create_end is not None:
self.create_end = create_end
else:
self.create_end = self.end + (
self.expire_end - self.expire_start) + (self.delete_end -
self.delete_start)
self.end = self.create_end
self.final_items += (abs(self.create_end - self.create_start)
) * self.num_collections * self.num_scopes
print "Read Start: %s" % self.read_start
print "Read End: %s" % self.read_end
print "Update Start: %s" % self.update_start
print "Update End: %s" % self.update_end
print "Expiry Start: %s" % self.expire_start
print "Expiry End: %s" % self.expire_end
print "Delete Start: %s" % self.delete_start
print "Delete End: %s" % self.delete_end
print "Create Start: %s" % self.create_start
print "Create End: %s" % self.create_end
print "Final Start: %s" % self.start
print "Final End: %s" % self.end
def _loader_dict(self, cmd={}):
self.loader_map = dict()
for bucket in self.cluster.buckets:
for scope in bucket.scopes.keys():
for collection in bucket.scopes[scope].collections.keys():
if collection == "_default" and scope == "_default":
continue
ws = WorkLoadSettings(
cmd.get("keyPrefix", self.key),
cmd.get("keySize", self.key_size),
cmd.get("docSize", self.doc_size),
cmd.get("cr", self.create_perc),
cmd.get("rd", self.read_perc),
cmd.get("up", self.update_perc),
cmd.get("dl", self.delete_perc),
cmd.get("ex", self.expiry_perc),
cmd.get("workers", self.process_concurrency),
cmd.get("ops", self.ops_rate),
cmd.get("loadType", None), cmd.get("keyType", None),
cmd.get("valueType", None), cmd.get("validate", False),
cmd.get("gtm", False), cmd.get("deleted", False),
cmd.get("mutated", 0))
hm = HashMap()
hm.putAll({
DRConstants.create_s: self.create_start,
DRConstants.create_e: self.create_end,
DRConstants.update_s: self.update_start,
DRConstants.update_e: self.update_end,
DRConstants.expiry_s: self.expire_start,
DRConstants.expiry_e: self.expire_end,
DRConstants.delete_s: self.delete_start,
DRConstants.delete_e: self.delete_end,
DRConstants.read_s: self.read_start,
DRConstants.read_e: self.read_end
})
dr = DocRange(hm)
ws.dr = dr
dg = DocumentGenerator(ws, self.key_type, self.val_type)
self.loader_map.update(
{bucket.name + scope + collection: dg})
def wait_for_doc_load_completion(self, tasks, wait_for_stats=True):
self.doc_loading_tm.getAllTaskResult()
self.get_memory_footprint()
for task in tasks:
task.result = True
unique_str = "{}:{}:{}:".format(task.sdk.bucket, task.sdk.scope,
task.sdk.collection)
for optype, failures in task.failedMutations.items():
for failure in failures:
if failure is not None:
print("Test Retrying {}: {}{} -> {}".format(
optype, unique_str, failure.id(),
failure.err().getClass().getSimpleName()))
try:
if optype == "create":
task.docops.insert(failure.id(),
failure.document(),
task.sdk.connection,
task.setOptions)
if optype == "update":
task.docops.upsert(failure.id(),
failure.document(),
task.sdk.connection,
task.upsertOptions)
if optype == "delete":
task.docops.delete(failure.id(),
task.sdk.connection,
task.removeOptions)
except (ServerOutOfMemoryException,
TimeoutException) as e:
print("Retry {} failed for key: {} - {}".format(
optype, failure.id(), e))
task.result = False
except (DocumentNotFoundException,
DocumentExistsException) as e:
pass
try:
task.sdk.disconnectCluster()
except Exception as e:
print(e)
self.assertTrue(task.result,
"Task Failed: {}".format(task.taskName))
if wait_for_stats:
try:
self.bucket_util._wait_for_stats_all_buckets(
self.cluster, self.cluster.buckets, timeout=14400)
if self.track_failures:
self.bucket_util.verify_stats_all_buckets(self.cluster,
self.final_items,
timeout=14400)
except Exception as e:
if not self.cluster.cloud_cluster:
self.get_gdb()
raise e
def get_gdb(self):
for node in self.cluster.nodes_in_cluster:
gdb_shell = RemoteMachineShellConnection(node)
gdb_out = gdb_shell.execute_command(
'gdb -p `(pidof memcached)` -ex "thread apply all bt" -ex detach -ex quit'
)[0]
print node.ip
print gdb_out
gdb_shell.disconnect()
def data_validation(self):
self.get_memory_footprint()
doc_ops = self.mutations_to_validate
pc = min(self.process_concurrency, 20)
if self._data_validation:
self.log.info("Validating Active/Replica Docs")
cmd = dict()
self.ops_rate = self.input.param("ops_rate", 2000)
master = Server(self.cluster.master.ip, self.cluster.master.port,
self.cluster.master.rest_username,
self.cluster.master.rest_password,
str(self.cluster.master.memcached_port))
self.loader_map = dict()
for bucket in self.cluster.buckets:
for scope in bucket.scopes.keys():
for collection in bucket.scopes[scope].collections.keys():
if collection == "_default" and scope == "_default":
continue
for op_type in doc_ops:
cmd.update({"deleted": False})
hm = HashMap()
if op_type == "create":
hm.putAll({
DRConstants.read_s: self.create_start,
DRConstants.read_e: self.create_end
})
elif op_type == "update":
hm.putAll({
DRConstants.read_s: self.update_start,
DRConstants.read_e: self.update_end
})
elif op_type == "delete":
hm.putAll({
DRConstants.read_s: self.delete_start,
DRConstants.read_e: self.delete_end
})
cmd.update({"deleted": True})
else:
continue
dr = DocRange(hm)
ws = WorkLoadSettings(
cmd.get("keyPrefix", self.key),
cmd.get("keySize", self.key_size),
cmd.get("docSize", self.doc_size),
cmd.get("cr", 0), cmd.get("rd", 100),
cmd.get("up", 0), cmd.get("dl", 0),
cmd.get("ex", 0), cmd.get("workers", pc),
cmd.get("ops", self.ops_rate),
cmd.get("loadType", None),
cmd.get("keyType", None),
cmd.get("valueType", None),
cmd.get("validate",
True), cmd.get("gtm", False),
cmd.get("deleted", False),
cmd.get("mutated", 0))
ws.dr = dr
dg = DocumentGenerator(ws, self.key_type,
self.val_type)
self.loader_map.update({
bucket.name + scope + collection + op_type:
dg
})
tasks = list()
i = pc
while i > 0:
for bucket in self.cluster.buckets:
for scope in bucket.scopes.keys():
for collection in bucket.scopes[
scope].collections.keys():
if collection == "_default" and scope == "_default":
continue
for op_type in doc_ops:
if op_type not in [
"create", "update", "delete"
]:
continue
client = NewSDKClient(master, bucket.name,
scope, collection)
client.initialiseSDK()
self.sleep(1)
taskName = "Validate_%s_%s_%s_%s_%s_%s" % (
bucket.name, scope, collection, op_type,
str(i), time.time())
task = WorkLoadGenerate(
taskName,
self.loader_map[bucket.name + scope +
collection + op_type],
client, "NONE", self.maxttl,
self.time_unit, self.track_failures, 0)
tasks.append(task)
self.doc_loading_tm.submit(task)
i -= 1
self.doc_loading_tm.getAllTaskResult()
for task in tasks:
try:
task.sdk.disconnectCluster()
except Exception as e:
print(e)
for task in tasks:
self.assertTrue(task.result,
"Validation Failed for: %s" % task.taskName)
self.get_memory_footprint()
def print_crud_stats(self):
self.table = TableView(self.log.info)
self.table.set_headers([
"Initial Items", "Current Items", "Items Updated", "Items Created",
"Items Deleted", "Items Expired"
])
self.table.add_row([
str(self.initial_items),
str(self.final_items),
str(abs(self.update_start)) + "-" + str(abs(self.update_end)),
str(abs(self.create_start)) + "-" + str(abs(self.create_end)),
str(abs(self.delete_start)) + "-" + str(abs(self.delete_end)),
str(abs(self.expire_start)) + "-" + str(abs(self.expire_end))
])
self.table.display("Docs statistics")
def perform_load(self,
crash=False,
num_kills=1,
wait_for_load=True,
validate_data=True):
self.get_memory_footprint()
self._loader_dict()
master = Server(self.cluster.master.ip, self.cluster.master.port,
self.cluster.master.rest_username,
self.cluster.master.rest_password,
str(self.cluster.master.memcached_port))
tasks = list()
i = self.process_concurrency
while i > 0:
for bucket in self.cluster.buckets:
for scope in bucket.scopes.keys():
for collection in bucket.scopes[scope].collections.keys():
if collection == "_default" and scope == "_default":
continue
client = NewSDKClient(master, bucket.name, scope,
collection)
client.initialiseSDK()
self.sleep(1)
self.get_memory_footprint()
taskName = "Loader_%s_%s_%s_%s_%s" % (
bucket.name, scope, collection, str(i),
time.time())
task = WorkLoadGenerate(
taskName,
self.loader_map[bucket.name + scope + collection],
client, self.durability_level, self.maxttl,
self.time_unit, self.track_failures, 0)
tasks.append(task)
self.doc_loading_tm.submit(task)
i -= 1
if wait_for_load:
self.wait_for_doc_load_completion(tasks)
self.get_memory_footprint()
else:
return tasks
if crash:
self.kill_memcached(num_kills=num_kills)
if validate_data:
self.data_validation()
self.print_stats()
if self.cluster.cloud_cluster:
return
result = self.check_coredump_exist(self.cluster.nodes_in_cluster)
if result:
self.PrintStep("CRASH | CRITICAL | WARN messages found in cb_logs")
if self.assert_crashes_on_load:
self.task_manager.abort_all_tasks()
self.doc_loading_tm.abortAllTasks()
self.assertFalse(result)
def get_magma_disk_usage(self, bucket=None):
if bucket is None:
bucket = self.bucket
servers = self.cluster.nodes_in_cluster
kvstore = 0
wal = 0
keyTree = 0
seqTree = 0
data_files = 0
for server in servers:
shell = RemoteMachineShellConnection(server)
bucket_path = os.path.join(
RestConnection(server).get_data_path(), bucket.name)
kvstore += int(
shell.execute_command("du -cm %s | tail -1 | awk '{print $1}'\
" % os.path.join(bucket_path, "magma.*/kv*"))[0][0].split('\n')[0])
wal += int(
shell.execute_command("du -cm %s | tail -1 | awk '{print $1}'\
" % os.path.join(bucket_path, "magma.*/wal"))[0][0].split('\n')[0])
keyTree += int(
shell.execute_command("du -cm %s | tail -1 | awk '{print $1}'\
" % os.path.join(bucket_path,
"magma.*/kv*/rev*/key*"))[0][0].split('\n')[0])
seqTree += int(
shell.execute_command("du -cm %s | tail -1 | awk '{print $1}'\
" % os.path.join(bucket_path,
"magma.*/kv*/rev*/seq*"))[0][0].split('\n')[0])
cmd = 'find ' + bucket_path + '/magma*/ -maxdepth 1 -type d \
-print0 | while read -d "" -r dir; do files=("$dir"/*/*/*); \
printf "%d,%s\n" "${#files[@]}" "$dir"; done'
data_files = shell.execute_command(cmd)[0]
for files in data_files:
if "kvstore" in files and int(files.split(",")[0]) >= 300:
self.log.warn("Number of files in {}--{} is {}".format(
server.ip,
files.split(",")[1].rstrip(),
files.split(",")[0]))
shell.disconnect()
self.log.debug("Total Disk usage for kvstore is {}MB".format(kvstore))
self.log.debug("Total Disk usage for wal is {}MB".format(wal))
self.log.debug("Total Disk usage for keyTree is {}MB".format(keyTree))
self.log.debug("Total Disk usage for seqTree is {}MB".format(seqTree))
return kvstore, wal, keyTree, seqTree
def print_stats(self):
self.bucket_util.print_bucket_stats(self.cluster)
self.cluster_util.print_cluster_stats(self.cluster)
self.print_crud_stats()
for bucket in self.cluster.buckets:
self.get_bucket_dgm(bucket)
if bucket.storageBackend == Bucket.StorageBackend.magma and not self.cluster.cloud_cluster:
self.get_magma_disk_usage(bucket)
self.check_fragmentation_using_magma_stats(bucket)
self.check_fragmentation_using_kv_stats(bucket)
def PrintStep(self, msg=None):
print "\n"
print "\t", "#" * 60
print "\t", "#"
print "\t", "# %s" % msg
print "\t", "#"
print "\t", "#" * 60
print "\n"
def check_fragmentation_using_kv_stats(self, bucket, servers=None):
result = dict()
if servers is None:
servers = self.cluster.kv_nodes + [self.cluster.master]
if type(servers) is not list:
servers = [servers]
for server in servers:
frag_val = self.bucket_util.get_fragmentation_kv(
self.cluster, bucket, server)
self.log.debug("Current Fragmentation for node {} is {} \
".format(server.ip, frag_val))
result.update({server.ip: frag_val})
self.log.info("KV stats fragmentation values {}".format(result))
def dump_magma_stats(self, server, bucket, shard, kvstore):
if bucket.storageBackend != Bucket.StorageBackend.magma or self.cluster.cloud_cluster:
return
shell = RemoteMachineShellConnection(server)
data_path = RestConnection(server).get_data_path()
while not self.stop_stats:
for bucket in self.cluster.buckets:
self.log.info(
self.get_magma_stats(bucket, server, "rw_0:magma"))
self.dump_seq_index(shell, data_path, bucket.name, shard,
kvstore)
self.sleep(600)
shell.disconnect()
def dump_seq_index(self, shell, data_path, bucket, shard, kvstore):
magma_path = os.path.join(data_path, bucket, "magma.{}")
magma = magma_path.format(shard)
cmd = '/opt/couchbase/bin/magma_dump {}'.format(magma)
cmd += ' --kvstore {} --tree seq'.format(kvstore)
result = shell.execute_command(cmd)[0]
self.log.info("Seq Tree for {}:{}:{}:{}: \n{}".format(
shell.ip, bucket, shard, kvstore, result))
def check_fragmentation_using_magma_stats(self, bucket, servers=None):
result = dict()
stats = list()
if servers is None:
servers = self.cluster.kv_nodes + [self.cluster.master]
if type(servers) is not list:
servers = [servers]
for server in servers:
fragmentation_values = list()
shell = RemoteMachineShellConnection(server)
output = shell.execute_command(
"lscpu | grep 'CPU(s)' | head -1 | awk '{print $2}'"
)[0][0].split('\n')[0]
shell.disconnect()
self.log.debug("machine: {} - core(s): {}".format(
server.ip, output))
for i in range(min(int(output), 64)):
grep_field = "rw_{}:magma".format(i)
_res = self.get_magma_stats(bucket, server)
fragmentation_values.append(
json.loads(_res[server.ip][grep_field])["Fragmentation"])
stats.append(_res)
result.update({server.ip: fragmentation_values})
self.log.info(stats[0])
res = list()
for value in result.values():
res.append(max(value))
if max(res) < float(self.fragmentation) / 100:
self.log.info("magma stats fragmentation result {} \
".format(result))
return True
self.log.info("magma stats fragmentation result {} \
".format(result))
return False
def get_magma_stats(self, bucket, server=None):
magma_stats_for_all_servers = dict()
cbstat_obj = Cbstats(server)
result = cbstat_obj.magma_stats(bucket.name)
magma_stats_for_all_servers[server.ip] = result
return magma_stats_for_all_servers
def pause_rebalance(self):
rest = RestConnection(self.cluster.master)
i = 1
self.sleep(10, "Let the rebalance begin!")
expected_progress = 20
while expected_progress < 100:
expected_progress = 20 * i
reached = self.cluster_util.rebalance_reached(
rest, expected_progress)
self.assertTrue(
reached, "Rebalance failed or did not reach {0}%".format(
expected_progress))
if not self.cluster_util.is_cluster_rebalanced(rest):
self.log.info("Stop the rebalance")
stopped = rest.stop_rebalance(wait_timeout=self.wait_timeout /
3)
self.assertTrue(stopped, msg="Unable to stop rebalance")
rebalance_task = self.task.async_rebalance(
self.cluster, [], [], retry_get_process_num=3000)
self.sleep(
10, "Rebalance % ={}. Let the rebalance begin!".format(
expected_progress))
i += 1
return rebalance_task
def abort_rebalance(self, rebalance, error_type="kill_memcached"):
self.sleep(30, "Let the rebalance begin!")
rest = RestConnection(self.cluster.master)
i = 1
expected_progress = 20
rebalance_task = rebalance
while expected_progress < 80:
expected_progress = 20 * i
reached = self.cluster_util.rebalance_reached(rest,
expected_progress,
wait_step=10,
num_retry=3600)
self.assertTrue(
reached, "Rebalance failed or did not reach {0}%".format(
expected_progress))
if not self.cluster_util.is_cluster_rebalanced(rest):
self.log.info("Abort rebalance")
self._induce_error(error_type, self.cluster.nodes_in_cluster)
result = self.check_coredump_exist(
self.cluster.nodes_in_cluster)
if result:
self.task_manager.abort_all_tasks()
self.doc_loading_tm.abortAllTasks()
self.assertFalse(
result,
"CRASH | CRITICAL | WARN messages found in cb_logs")
self.sleep(60, "Sleep after error introduction")
self._recover_from_error(error_type)
result = self.check_coredump_exist(
self.cluster.nodes_in_cluster)
if result:
self.task_manager.abort_all_tasks()
self.doc_loading_tm.abortAllTasks()
self.assertFalse(
result,
"CRASH | CRITICAL | WARN messages found in cb_logs")
try:
self.task_manager.get_task_result(rebalance_task)
except RebalanceFailedException:
pass
if rebalance.result:
self.log.error(
"Rebalance passed/finished which is not expected")
self.log.info(
"Rebalance % after rebalance finished = {}".format(
expected_progress))
return None
else:
self.log.info(
"Restarting Rebalance after killing at {}".format(
expected_progress))
rebalance_task = self.task.async_rebalance(
self.cluster, [],
self.servs_out,
retry_get_process_num=3000)
self.sleep(120, "Let the rebalance begin after abort")
self.log.info("Rebalance % = {}".format(
self.rest._rebalance_progress()))
i += 1
return rebalance_task
def crash_memcached(self, nodes=None, num_kills=1, graceful=False):
self.stop_crash = False
self.crash_count = 0
if not nodes:
nodes = self.cluster.kv_nodes + [self.cluster.master]
while not self.stop_crash:
self.get_memory_footprint()
sleep = random.randint(60, 120)
self.sleep(
sleep, "Iteration:{} waiting to kill memc on all nodes".format(
self.crash_count))
self.kill_memcached(nodes,
num_kills=num_kills,
graceful=graceful,
wait=True)
self.crash_count += 1
if self.crash_count > self.crashes:
self.stop_crash = True
self.sleep(300)
def kill_memcached(self,
servers=None,
num_kills=1,
graceful=False,
wait=True):
if not servers:
servers = self.cluster.kv_nodes + [self.cluster.master]
for server in servers:
for _ in xrange(num_kills):
if num_kills > 1:
self.sleep(
2,
"Sleep for 2 seconds b/w cont memc kill on same node.")
shell = RemoteMachineShellConnection(server)
if graceful:
shell.restart_couchbase()
else:
shell.kill_memcached()
shell.disconnect()
self.sleep(
5, "Sleep for 5 seconds before killing memc on next node.")
result = self.check_coredump_exist(self.cluster.nodes_in_cluster)
if result:
self.stop_crash = True
self.task_manager.abort_all_tasks()
self.doc_loading_tm.abortAllTasks()
self.assertFalse(
result, "CRASH | CRITICAL | WARN messages found in cb_logs")
if wait:
for server in servers:
self.check_warmup_complete(server)
def check_warmup_complete(self, server):
for bucket in self.cluster.buckets:
start_time = time.time()
result = self.bucket_util._wait_warmup_completed(
[server],
self.cluster.buckets[0],
wait_time=self.wait_timeout * 20)
if not result:
self.stop_crash = True
self.task_manager.abort_all_tasks()
self.doc_loading_tm.abortAllTasks()
self.assertTrue(
result,
"Warm-up failed in %s seconds" % (self.wait_timeout * 20))
else:
self.log.info("Bucket:%s warm-up completed in %s." %
(bucket.name, str(time.time() - start_time)))
def set_num_writer_and_reader_threads(self,
num_writer_threads="default",
num_reader_threads="default",
num_storage_threads="default"):
bucket_helper = BucketHelper(self.cluster.master)
bucket_helper.update_memcached_settings(
num_writer_threads=num_writer_threads,
num_reader_threads=num_reader_threads,
num_storage_threads=num_storage_threads)
def test_doc_size(self):
def check_durability_failures():
self.log.error(task.sdk_acked_curd_failed.keys())
self.log.error(task.sdk_exception_crud_succeed.keys())
self.assertTrue(
len(task.sdk_acked_curd_failed) == 0,
"Durability failed for docs: %s" %
task.sdk_acked_curd_failed.keys())
self.assertTrue(
len(task.sdk_exception_crud_succeed) == 0,
"Durability failed for docs: %s" %
task.sdk_acked_curd_failed.keys())
"""
Basic tests for document CRUD operations using JSON docs
"""
doc_op = self.input.param("doc_op", None)
def_bucket = self.bucket_util.buckets[0]
ignore_exceptions = list()
retry_exceptions = list()
# Stat validation reference variables
verification_dict = dict()
ref_val = dict()
ref_val["ops_create"] = 0
ref_val["ops_update"] = 0
ref_val["ops_delete"] = 0
ref_val["rollback_item_count"] = 0
ref_val["sync_write_aborted_count"] = 0
ref_val["sync_write_committed_count"] = 0
one_less_node = self.nodes_init == self.num_replicas
if self.durability_level:
pass
#ignore_exceptions.append(
# "com.couchbase.client.core.error.RequestTimeoutException")
if self.target_vbucket and type(self.target_vbucket) is not list:
self.target_vbucket = [self.target_vbucket]
self.log.info("Creating doc_generator..")
# Load basic docs into bucket
doc_create = doc_generator(self.key,
0,
self.num_items,
doc_size=self.doc_size,
doc_type=self.doc_type,
target_vbucket=self.target_vbucket,
vbuckets=self.vbuckets)
self.log.info("Loading {0} docs into the bucket: {1}".format(
self.num_items, def_bucket))
task = self.task.async_load_gen_docs(
self.cluster,
def_bucket,
doc_create,
"create",
0,
batch_size=self.batch_size,
process_concurrency=self.process_concurrency,
replicate_to=self.replicate_to,
persist_to=self.persist_to,
durability=self.durability_level,
timeout_secs=self.sdk_timeout,
ryow=self.ryow,
check_persistence=self.check_persistence)
self.task.jython_task_manager.get_task_result(task)
if self.ryow:
check_durability_failures()
# Retry doc_exception code
self.log.info("Validating failed doc's (if any) exceptions")
doc_op_info_dict = dict()
doc_op_info_dict[task] = self.bucket_util.get_doc_op_info_dict(
def_bucket,
"create",
exp=0,
replicate_to=self.replicate_to,
persist_to=self.persist_to,
durability=self.durability_level,
timeout=self.sdk_timeout,
time_unit="seconds",
ignore_exceptions=ignore_exceptions,
retry_exceptions=retry_exceptions)
self.bucket_util.verify_doc_op_task_exceptions(doc_op_info_dict,
self.cluster)
if len(doc_op_info_dict[task]["unwanted"]["fail"].keys()) != 0:
self.fail("Failures in retry doc CRUDs: {0}".format(
doc_op_info_dict[task]["unwanted"]["fail"]))
self.log.info("Wait for ep_all_items_remaining to become '0'")
self.bucket_util._wait_for_stats_all_buckets()
# Update ref_val
ref_val["ops_create"] = self.num_items + len(task.fail.keys())
ref_val["sync_write_committed_count"] = self.num_items
# Validate vbucket stats
verification_dict["ops_create"] = ref_val["ops_create"]
verification_dict["rollback_item_count"] = \
ref_val["rollback_item_count"]
if self.durability_level:
verification_dict["sync_write_aborted_count"] = \
ref_val["sync_write_aborted_count"]
verification_dict["sync_write_committed_count"] = \
ref_val["sync_write_committed_count"]
failed = self.durability_helper.verify_vbucket_details_stats(
def_bucket,
self.cluster_util.get_kv_nodes(),
vbuckets=self.vbuckets,
expected_val=verification_dict,
one_less_node=one_less_node)
if failed:
self.fail("Cbstat vbucket-details verification failed")
# Verify initial doc load count
self.log.info("Validating doc_count in buckets")
self.bucket_util.verify_stats_all_buckets(self.num_items)
self.log.info("Creating doc_generator for doc_op")
num_item_start_for_crud = int(self.num_items / 2)
doc_update = doc_generator(self.key,
0,
num_item_start_for_crud,
doc_size=self.doc_size,
doc_type=self.doc_type,
target_vbucket=self.target_vbucket,
vbuckets=self.vbuckets)
expected_num_items = self.num_items
num_of_mutations = 1
if doc_op == "update":
self.log.info("Performing 'update' mutation over the docs")
task = self.task.async_load_gen_docs(
self.cluster,
def_bucket,
doc_update,
"update",
0,
batch_size=self.batch_size,
process_concurrency=self.process_concurrency,
replicate_to=self.replicate_to,
persist_to=self.persist_to,
durability=self.durability_level,
timeout_secs=self.sdk_timeout,
ryow=self.ryow,
check_persistence=self.check_persistence)
self.task.jython_task_manager.get_task_result(task)
ref_val["ops_update"] = (doc_update.end - doc_update.start +
len(task.fail.keys()))
if self.durability_level:
ref_val["sync_write_committed_count"] += \
(doc_update.end - doc_update.start)
if self.ryow:
check_durability_failures()
# Read all the values to validate update operation
task = self.task.async_load_gen_docs(
self.cluster,
def_bucket,
doc_update,
"read",
0,
batch_size=self.batch_size,
process_concurrency=self.process_concurrency,
timeout_secs=self.sdk_timeout)
self.task.jython_task_manager.get_task_result(task)
op_failed_tbl = TableView(self.log.error)
op_failed_tbl.set_headers(["Update failed key", "CAS", "Value"])
for key, value in task.success.items():
if json.loads(str(value["value"]))["mutated"] != 1:
op_failed_tbl.add_row([key, value["cas"], value["value"]])
op_failed_tbl.display("Update failed for keys:")
if len(op_failed_tbl.rows) != 0:
self.fail("Update failed for few keys")
elif doc_op == "delete":
self.log.info("Performing 'delete' mutation over the docs")
task = self.task.async_load_gen_docs(
self.cluster,
def_bucket,
doc_update,
"delete",
0,
batch_size=self.batch_size,
process_concurrency=self.process_concurrency,
replicate_to=self.replicate_to,
persist_to=self.persist_to,
durability=self.durability_level,
timeout_secs=self.sdk_timeout,
ryow=self.ryow,
check_persistence=self.check_persistence)
self.task.jython_task_manager.get_task_result(task)
expected_num_items = self.num_items \
- (self.num_items - num_item_start_for_crud)
ref_val["ops_delete"] = (doc_update.end - doc_update.start +
len(task.fail.keys()))
if self.durability_level:
ref_val["sync_write_committed_count"] += \
(doc_update.end - doc_update.start)
if self.ryow:
check_durability_failures()
# Read all the values to validate update operation
task = self.task.async_load_gen_docs(self.cluster,
def_bucket,
doc_update,
"read",
0,
batch_size=10,
process_concurrency=8,
timeout_secs=self.sdk_timeout)
self.task.jython_task_manager.get_task_result(task)
op_failed_tbl = TableView(self.log.error)
op_failed_tbl.set_headers(["Delete failed key", "CAS", "Value"])
for key, value in task.success.items():
op_failed_tbl.add_row([key, value["cas"], value["value"]])
op_failed_tbl.display("Delete failed for keys:")
if len(op_failed_tbl.rows) != 0:
self.fail("Delete failed for few keys")
else:
self.log.warning("Unsupported doc_operation")
self.log.info("Wait for ep_all_items_remaining to become '0'")
self.bucket_util._wait_for_stats_all_buckets()
# Validate vbucket stats
verification_dict["ops_create"] = ref_val["ops_create"]
verification_dict["ops_update"] = ref_val["ops_update"]
verification_dict["ops_delete"] = ref_val["ops_delete"]
verification_dict["rollback_item_count"] = \
ref_val["rollback_item_count"]
if self.durability_level:
verification_dict["sync_write_aborted_count"] = \
ref_val["sync_write_aborted_count"]
verification_dict["sync_write_committed_count"] = \
ref_val["sync_write_committed_count"]
failed = self.durability_helper.verify_vbucket_details_stats(
def_bucket,
self.cluster_util.get_kv_nodes(),
vbuckets=self.vbuckets,
expected_val=verification_dict,
one_less_node=one_less_node)
if failed:
self.fail("Cbstat vbucket-details verification failed")
self.log.info("Validating doc_count")
self.bucket_util.verify_stats_all_buckets(expected_num_items)
def test_timeout_with_crud_failures(self):
"""
Test to make sure timeout is handled in durability calls
and no documents are loaded when durability cannot be met using
error simulation in server node side
This will validate failure in majority of nodes, where durability will
surely fail for all CRUDs
1. Select a node from the cluster to simulate the specified error
2. Perform CRUD on the target bucket with given timeout
3. Using cbstats to verify no operations succeeds
4. Revert the error scenario from the cluster to resume durability
5. Validate all mutations are succeeded after reverting
the error condition
Note: self.sdk_timeout values is considered as 'seconds'
"""
# Local method to validate vb_seqno
def validate_vb_seqno_stats():
"""
:return retry_validation: Boolean denoting to retry validation
"""
retry_validation = False
vb_info["post_timeout"][node.ip] = \
cbstat_obj[node.ip].vbucket_seqno(self.bucket.name)
for vb_id in range(self.cluster.vbuckets):
vb_id = str(vb_id)
if vb_id not in affected_vbs:
if vb_id in vb_info["init"][node.ip].keys() \
and vb_info["init"][node.ip][vb_id] \
!= vb_info["post_timeout"][node.ip][vb_id]:
self.log_failure(
"Unaffected vb-%s stat updated: %s != %s" %
(vb_id, vb_info["init"][node.ip][vb_id],
vb_info["post_timeout"][node.ip][vb_id]))
elif int(vb_id) \
in target_nodes_vbuckets[Bucket.vBucket.ACTIVE]:
if vb_id in vb_info["init"][node.ip].keys() \
and vb_info["init"][node.ip][vb_id] \
!= vb_info["post_timeout"][node.ip][vb_id]:
self.log.warning(
err_msg %
(node.ip, Bucket.vBucket.ACTIVE, vb_id,
vb_info["init"][node.ip][vb_id],
vb_info["post_timeout"][node.ip][vb_id]))
elif int(vb_id) \
in target_nodes_vbuckets[Bucket.vBucket.REPLICA]:
if vb_id in vb_info["init"][node.ip].keys() \
and vb_info["init"][node.ip][vb_id] \
== vb_info["post_timeout"][node.ip][vb_id]:
retry_validation = True
self.log.warning(
err_msg %
(node.ip, Bucket.vBucket.REPLICA, vb_id,
vb_info["init"][node.ip][vb_id],
vb_info["post_timeout"][node.ip][vb_id]))
return retry_validation
shell_conn = dict()
cbstat_obj = dict()
error_sim = dict()
target_nodes_vbuckets = dict()
vb_info = dict()
tasks = dict()
doc_gen = dict()
affected_vbs = list()
target_nodes_vbuckets[Bucket.vBucket.ACTIVE] = list()
target_nodes_vbuckets[Bucket.vBucket.REPLICA] = list()
vb_info["init"] = dict()
vb_info["post_timeout"] = dict()
vb_info["afterCrud"] = dict()
# Override crud_batch_size to minimum value for testing
self.crud_batch_size = 5
target_nodes = self.getTargetNodes()
for node in target_nodes:
shell_conn[node.ip] = RemoteMachineShellConnection(node)
cbstat_obj[node.ip] = Cbstats(node)
target_nodes_vbuckets[Bucket.vBucket.ACTIVE] += \
cbstat_obj[node.ip].vbucket_list(
self.bucket.name, vbucket_type=Bucket.vBucket.ACTIVE)
target_nodes_vbuckets[Bucket.vBucket.REPLICA] += \
cbstat_obj[node.ip].vbucket_list(
self.bucket.name, vbucket_type=Bucket.vBucket.REPLICA)
vb_info["init"][node.ip] = cbstat_obj[node.ip].vbucket_seqno(
self.bucket.name)
error_sim[node.ip] = CouchbaseError(self.log, shell_conn[node.ip])
curr_time = int(time.time())
expected_timeout = curr_time + self.sdk_timeout
target_vbs = target_nodes_vbuckets[Bucket.vBucket.ACTIVE]
if self.nodes_init == 1:
pass
elif self.durability_level \
== Bucket.DurabilityLevel.PERSIST_TO_MAJORITY:
target_vbs = target_nodes_vbuckets[Bucket.vBucket.REPLICA]
# Create required doc_generators
doc_gen["insert"] = sub_doc_generator(self.key,
self.num_items / 2,
self.crud_batch_size,
target_vbucket=target_vbs,
key_size=self.key_size)
doc_gen["remove"] = sub_doc_generator_for_edit(
self.key,
0,
self.crud_batch_size,
key_size=self.key_size,
template_index=2,
target_vbucket=target_vbs)
doc_gen["read"] = sub_doc_generator_for_edit(self.key,
0,
self.crud_batch_size,
key_size=self.key_size,
template_index=0,
target_vbucket=target_vbs)
doc_gen["upsert"] = sub_doc_generator_for_edit(
self.key,
int(self.num_items / 4),
self.crud_batch_size,
key_size=self.key_size,
template_index=1,
target_vbucket=target_vbs)
for op_type in doc_gen.keys():
tasks[op_type] = self.task.async_load_gen_sub_docs(
self.cluster,
self.bucket,
doc_gen[op_type],
op_type,
0,
path_create=True,
batch_size=1,
process_concurrency=8,
replicate_to=self.replicate_to,
persist_to=self.persist_to,
durability=self.durability_level,
timeout_secs=self.sdk_timeout,
start_task=False)
# Perform specified action
for node in target_nodes:
error_sim[node.ip].create(self.simulate_error,
bucket_name=self.bucket.name)
for op_type in doc_gen.keys():
self.task_manager.add_new_task(tasks[op_type])
# Wait for document_loader tasks to complete
for op_type in doc_gen.keys():
self.task.jython_task_manager.get_task_result(tasks[op_type])
# Validate task failures
if op_type == DocLoading.Bucket.DocOps.READ:
# Validation for read task
if len(tasks[op_type].fail.keys()) != 0:
self.log_failure("Read failed for few docs: %s" %
tasks[op_type].fail.keys())
else:
# Validation of CRUDs - Update / Create / Delete
for doc_id, crud_result in tasks[op_type].fail.items():
vb_num = self.bucket_util.get_vbucket_num_for_key(
doc_id, self.cluster.vbuckets)
if SDKException.DurabilityAmbiguousException \
not in str(crud_result["error"]):
self.log_failure(
"Invalid exception for doc %s, vb %s: %s" %
(doc_id, vb_num, crud_result))
# Revert the specified error scenario
for node in target_nodes:
error_sim[node.ip].revert(self.simulate_error,
bucket_name=self.bucket.name)
# Check whether the timeout triggered properly
if int(time.time()) < expected_timeout:
self.log_failure("Timed-out before expected time")
for op_type in doc_gen.keys():
if op_type == DocLoading.Bucket.DocOps.READ:
continue
while doc_gen[op_type].has_next():
doc_id, _ = doc_gen[op_type].next()
affected_vbs.append(
str(
self.bucket_util.get_vbucket_num_for_key(
doc_id, self.cluster.vbuckets)))
affected_vbs = list(set(affected_vbs))
err_msg = "%s - mismatch in %s vb-%s seq_no: %s != %s"
# Fetch latest stats and validate the seq_nos are not updated
for node in target_nodes:
retry_count = 0
max_retry = 3
while retry_count < max_retry:
self.log.info("Trying to validate vbseq_no stats: %d" %
(retry_count + 1))
retry_count += 1
retry_required = validate_vb_seqno_stats()
if not retry_required:
break
self.sleep(5, "Sleep for vbseq_no stats to update")
else:
# This will be exited only if `break` condition is not met
self.log_failure("validate_vb_seqno_stats verification failed")
self.validate_test_failure()
# If replicas+1 == total nodes, verify no mutation should have
# succeeded with durability
if self.nodes_init == self.num_replicas + 1:
read_gen = doc_generator(self.key, 0, self.num_items)
read_task = self.task.async_load_gen_docs(
self.cluster,
self.bucket,
read_gen,
DocLoading.Bucket.DocOps.READ,
0,
batch_size=500,
process_concurrency=1,
timeout_secs=self.sdk_timeout)
self.task_manager.get_task_result(read_task)
failed_keys = TableView(self.log.error)
failed_keys.set_headers(["Key", "Error"])
half_of_num_items = self.num_items / 2
for doc_key, doc_info in read_task.success.items():
key_index = int(doc_key.split("-")[1])
expected_mutated_val = 0
if key_index < half_of_num_items:
expected_mutated_val = 1
mutated = json.loads(str(doc_info["value"]))["mutated"]
if mutated != expected_mutated_val:
failed_keys.add_row([doc_key, doc_info])
failed_keys.display("Affected mutations:")
self.log.error(read_task.fail)
# Doc error validation
for op_type in doc_gen.keys():
task = tasks[op_type]
retry_task = self.task.async_load_gen_sub_docs(
self.cluster,
self.bucket,
doc_gen[op_type],
op_type,
0,
path_create=True,
batch_size=1,
process_concurrency=8,
replicate_to=self.replicate_to,
persist_to=self.persist_to,
durability=self.durability_level,
timeout_secs=self.sdk_timeout)
self.task_manager.get_task_result(retry_task)
retry_failures = set(retry_task.fail.keys())
initial_failures = set(task.fail.keys())
if len(list(retry_failures.difference(initial_failures))) != 0:
self.log_failure("Docs failed during retry task for %s: %s" %
(op_type, retry_task.fail))
# Verify doc count after expected CRUD failure
self.bucket_util._wait_for_stats_all_buckets(self.cluster,
self.cluster.buckets)
self.bucket_util.verify_stats_all_buckets(self.cluster, self.num_items)
# Fetch latest stats and validate the values are updated
for node in target_nodes:
vb_info["afterCrud"][node.ip] = \
cbstat_obj[node.ip].vbucket_seqno(self.bucket.name)
if vb_info["init"][node.ip] == vb_info["afterCrud"][node.ip]:
self.log_failure("vBucket seq_no stats not updated")
# Disconnect the shell connection
for node in target_nodes:
shell_conn[node.ip].disconnect()
self.validate_test_failure()
class volume(BaseTestCase):
# will add the __init__ functions after the test has been stabilised
def setUp(self):
self.input = TestInputSingleton.input
self.input.test_params.update({"default_bucket":False})
BaseTestCase.setUp(self)
self.rest = RestConnection(self.servers[0])
self.op_type = self.input.param("op_type", "create")
self.tasks = [] # To have all tasks running in parallel.
self._iter_count = 0 # To keep a check of how many items are deleted
self.available_servers = list()
self.available_servers = self.cluster.servers[self.nodes_init:]
self.num_buckets = self.input.param("num_buckets", 1)
self.mutate = 0
self.doc_ops = self.input.param("doc_ops", None)
if self.doc_ops:
self.doc_ops = self.doc_ops.split(';')
self.iterations = self.input.param("iterations", 2)
self.vbucket_check = self.input.param("vbucket_check", True)
self.new_num_writer_threads = self.input.param(
"new_num_writer_threads", 6)
self.new_num_reader_threads = self.input.param(
"new_num_reader_threads", 8)
def create_required_buckets(self):
self.log.info("Get the available memory quota")
self.info = self.rest.get_nodes_self()
threshold_memory = 100
# threshold_memory_vagrant = 100
total_memory_in_mb = self.info.mcdMemoryReserved
total_available_memory_in_mb = total_memory_in_mb
active_service = self.info.services
# If the mentioned service is already present,
# we remove that much memory from available memory quota
if "index" in active_service:
total_available_memory_in_mb -= self.info.indexMemoryQuota
if "fts" in active_service:
total_available_memory_in_mb -= self.info.ftsMemoryQuota
if "cbas" in active_service:
total_available_memory_in_mb -= self.info.cbasMemoryQuota
if "eventing" in active_service:
total_available_memory_in_mb -= self.info.eventingMemoryQuota
available_memory = total_available_memory_in_mb - threshold_memory
# available_memory = total_available_memory_in_mb - threshold_memory_vagrant
self.rest.set_service_memoryQuota(service='memoryQuota',
memoryQuota=available_memory)
# Creating buckets for data loading purpose
self.log.info("Create CB buckets")
duration = self.input.param("bucket_expiry", 0)
eviction_policy = self.input.param("eviction_policy", Bucket.EvictionPolicy.VALUE_ONLY)
self.bucket_type = self.input.param("bucket_type", Bucket.Type.MEMBASE) # Bucket.bucket_type.EPHEMERAL
compression_mode = self.input.param("compression_mode", Bucket.CompressionMode.PASSIVE) # Bucket.bucket_compression_mode.ACTIVE
ramQuota = self.input.param("ramQuota", available_memory)
bucket_names = self.input.param("bucket_names", "GleamBookUsers")
if bucket_names:
bucket_names = bucket_names.split(';')
if self.bucket_type:
self.bucket_type = self.bucket_type.split(';')
if compression_mode:
compression_mode = compression_mode.split(';')
if eviction_policy:
eviction_policy = eviction_policy.split(';')
if self.num_buckets == 1:
bucket = Bucket({"name": "GleamBookUsers", "ramQuotaMB": ramQuota, "maxTTL": duration, "replicaNumber":self.num_replicas,
"evictionPolicy": eviction_policy[0], "bucketType":self.bucket_type[0], "compressionMode":compression_mode[0]})
self.bucket_util.create_bucket(bucket)
elif 1 < self.num_buckets == len(bucket_names):
for i in range(self.num_buckets):
bucket = Bucket({"name": bucket_names[i], "ramQuotaMB": ramQuota/self.num_buckets, "maxTTL": duration, "replicaNumber":self.num_replicas,
"evictionPolicy": eviction_policy[i], "bucketType":self.bucket_type[i], "compressionMode":compression_mode[i]})
self.bucket_util.create_bucket(bucket)
else:
self.fail("Number of bucket/Names not sufficient")
# rebalance the new buckets across all nodes.
self.log.info("Rebalance Starts")
self.nodes = self.rest.node_statuses()
self.rest.rebalance(otpNodes=[node.id for node in self.nodes],
ejectedNodes=[])
self.rest.monitorRebalance()
return bucket
def set_num_writer_and_reader_threads(self, num_writer_threads="default", num_reader_threads="default"):
for node in self.cluster_util.get_kv_nodes():
bucket_helper = BucketHelper(node)
bucket_helper.update_memcached_settings(num_writer_threads=num_writer_threads,
num_reader_threads=num_reader_threads)
def volume_doc_generator_users(self, key, start, end):
template = '{{ "id":"{0}", "alias":"{1}", "name":"{2}", "user_since":"{3}", "employment":{4} }}'
return GleamBookUsersDocumentGenerator(key, template,
start=start, end=end)
def volume_doc_generator_messages(self, key, start, end):
template = '{{ "message_id": "{0}", "author_id": "{1}", "send_time": "{2}" }}'
return GleamBookMessagesDocumentGenerator(key, template,
start=start, end=end)
def initial_data_load(self, initial_load):
if self.atomicity:
task = self.task.async_load_gen_docs_atomicity(self.cluster, self.bucket_util.buckets,
initial_load, "create" , exp=0,
batch_size=10,
process_concurrency=self.process_concurrency,
replicate_to=self.replicate_to,
persist_to=self.persist_to, timeout_secs=self.sdk_timeout,
retries=self.sdk_retries,update_count=self.mutate, transaction_timeout=self.transaction_timeout,
commit=self.transaction_commit,durability=self.durability_level,sync=self.sync)
self.task.jython_task_manager.get_task_result(task)
else:
tasks_info = self.bucket_util._async_load_all_buckets(self.cluster, initial_load,
"create", exp=0,
persist_to = self.persist_to,
replicate_to=self.replicate_to,
batch_size= 10,
pause_secs = 5,
timeout_secs=30,
durability=self.durability_level,
process_concurrency = self.process_concurrency,
retries=self.sdk_retries)
for task, task_info in tasks_info.items():
self.task_manager.get_task_result(task)
self.sleep(10)
# Loading documents in 2 buckets in parallel through transactions
def doc_load_using_txns(self):
if "update" in self.doc_ops and self.gen_update_users is not None:
self.tasks.append(self.doc_loader_txn("update", self.gen_update_users))
if "create" in self.doc_ops and self.gen_create_users is not None:
self.tasks.append(self.doc_loader_txn("create", self.gen_create_users))
if "delete" in self.doc_ops and self.gen_delete_users is not None:
self.tasks.append(self.doc_loader_txn("delete", self.gen_delete_users))
self.sleep(20)
for task in self.tasks:
self.task.jython_task_manager.get_task_result(task)
def doc_loader_txn(self, op_type, kv_gen):
if op_type == "update":
print("Value of Mutated is", self.mutate)
self.sleep(5)
process_concurrency = self.process_concurrency
# if op_type == "update":
# if "create" not in self.doc_ops:
# self.create_perc = 0
# if "delete" not in self.doc_ops:
# self.delete_perc = 0
# process_concurrency = (self.update_perc*process_concurrency)/(self.create_perc + self.delete_perc + self.update_perc)
# if op_type == "create":
# if "update" not in self.doc_ops:
# self.update_perc = 0
# if "delete" not in self.doc_ops:
# self.delete_perc = 0
# process_concurrency = (self.create_perc*process_concurrency)/(self.create_perc + self.delete_perc + self.update_perc)
# if op_type == "delete":
# if "create" not in self.doc_ops:
# self.create_perc = 0
# if "update" not in self.doc_ops:
# self.update_perc = 0
# process_concurrency = (self.delete_perc*process_concurrency)/(self.create_perc + self.delete_perc + self.update_perc)
task = self.task.async_load_gen_docs_atomicity(self.cluster, self.bucket_util.buckets,
kv_gen, op_type, exp=0,
batch_size=10,
process_concurrency=process_concurrency,
replicate_to=self.replicate_to,
persist_to=self.persist_to, timeout_secs=self.sdk_timeout,
retries=self.sdk_retries, update_count=self.mutate,
transaction_timeout=self.transaction_timeout,
commit=self.transaction_commit, durability=self.durability_level,
sync=self.sync, defer=self.defer)
return task
# Loading documents through normal doc loader
def normal_doc_loader(self):
tasks_info = dict()
if "update" in self.doc_ops and self.gen_update_users is not None:
task_info = self.doc_loader("update", self.gen_update_users)
tasks_info.update(task_info.items())
if "create" in self.doc_ops and self.gen_create_users is not None:
task_info = self.doc_loader("create", self.gen_create_users)
tasks_info.update(task_info.items())
if "delete" in self.doc_ops and self.gen_delete_users is not None:
task_info = self.doc_loader("delete", self.gen_delete_users)
tasks_info.update(task_info.items())
return tasks_info
def doc_loader(self, op_type, kv_gen):
process_concurrency = self.process_concurrency
if op_type == "update":
if "create" not in self.doc_ops:
self.create_perc = 0
if "delete" not in self.doc_ops:
self.delete_perc = 0
process_concurrency = (self.update_perc*process_concurrency)/(self.create_perc + self.delete_perc + self.update_perc)
if op_type == "create":
if "update" not in self.doc_ops:
self.update_perc = 0
if "delete" not in self.doc_ops:
self.delete_perc = 0
process_concurrency = (self.create_perc*process_concurrency)/(self.create_perc + self.delete_perc + self.update_perc)
if op_type == "delete":
if "create" not in self.doc_ops:
self.create_perc = 0
if "update" not in self.doc_ops:
self.update_perc = 0
process_concurrency = (self.delete_perc*process_concurrency)/(self.create_perc + self.delete_perc + self.update_perc)
retry_exceptions = [
SDKException.AmbiguousTimeoutException,
SDKException.RequestCanceledException,
SDKException.DurabilityAmbiguousException,
SDKException.DurabilityImpossibleException,
]
tasks_info = self.bucket_util._async_load_all_buckets(self.cluster, kv_gen,
op_type, 0, batch_size=20,
persist_to=self.persist_to, replicate_to=self.replicate_to,
durability=self.durability_level, pause_secs=5,
timeout_secs=30, process_concurrency=process_concurrency,
retries=self.sdk_retries,
retry_exceptions=retry_exceptions)
return tasks_info
# Stopping and restarting the memcached process
def stop_process(self):
target_node = self.servers[2]
remote = RemoteMachineShellConnection(target_node)
error_sim = CouchbaseError(self.log, remote)
error_to_simulate = "stop_memcached"
# Induce the error condition
error_sim.create(error_to_simulate)
self.sleep(20, "Wait before reverting the error condition")
# Revert the simulated error condition and close the ssh session
error_sim.revert(error_to_simulate)
remote.disconnect()
def rebalance(self, nodes_in=0, nodes_out=0):
servs_in = random.sample(self.available_servers, nodes_in)
self.nodes_cluster = self.cluster.nodes_in_cluster[:]
self.nodes_cluster.remove(self.cluster.master)
servs_out = random.sample(self.nodes_cluster, nodes_out)
if nodes_in == nodes_out:
self.vbucket_check = False
rebalance_task = self.task.async_rebalance(
self.cluster.servers[:self.nodes_init], servs_in, servs_out, check_vbucket_shuffling=self.vbucket_check)
self.available_servers = [servs for servs in self.available_servers if servs not in servs_in]
self.available_servers += servs_out
self.cluster.nodes_in_cluster.extend(servs_in)
self.cluster.nodes_in_cluster = list(set(self.cluster.nodes_in_cluster) - set(servs_out))
return rebalance_task
def rebalance_validation(self, tasks_info, rebalance_task):
if not rebalance_task.result:
for task, _ in tasks_info.items():
self.task.jython_task_manager.get_task_result(task)
self.fail("Rebalance Failed")
def data_validation(self, tasks_info):
if not self.atomicity:
for task in tasks_info:
self.task_manager.get_task_result(task)
self.bucket_util.verify_doc_op_task_exceptions(tasks_info,
self.cluster)
self.bucket_util.log_doc_ops_task_failures(tasks_info)
self.sleep(10)
for task, task_info in tasks_info.items():
self.assertFalse(
task_info["ops_failed"],
"Doc ops failed for task: {}".format(task.thread_name))
self.log.info("Validating Active/Replica Docs")
if self.atomicity:
self.check_replica = False
else:
self.check_replica = True
for bucket in self.bucket_util.buckets:
tasks = list()
if self.gen_update_users is not None:
tasks.append(self.task.async_validate_docs(
self.cluster, bucket, self.gen_update_users, "update", 0,
batch_size=10, check_replica=self.check_replica))
if self.gen_create_users is not None:
tasks.append(self.task.async_validate_docs(
self.cluster, bucket, self.gen_create_users, "create", 0,
batch_size=10, check_replica=self.check_replica))
if self.gen_delete_users is not None:
tasks.append(self.task.async_validate_docs(
self.cluster, bucket, self.gen_delete_users, "delete", 0,
batch_size=10, check_replica=self.check_replica))
for task in tasks:
self.task.jython_task_manager.get_task_result(task)
self.sleep(20)
if not self.atomicity:
self.bucket_util._wait_for_stats_all_buckets()
self.bucket_util.verify_stats_all_buckets(self.end - self.initial_load_count*self.delete_perc/100*self._iter_count)
def data_load(self):
tasks_info = dict()
if self.atomicity:
self.doc_load_using_txns()
self.sleep(10)
else:
tasks_info = self.normal_doc_loader()
self.sleep(10)
return tasks_info
def generate_docs(self):
self.create_perc = self.input.param("create_perc",100)
self.update_perc = self.input.param("update_perc", 10)
self.delete_perc = self.input.param("delete_perc", 10)
self.gen_delete_users = None
self.gen_create_users = None
self.gen_update_users = None
if "update" in self.doc_ops:
self.mutate += 1
self.gen_update_users = doc_generator("Users", 0, self.initial_load_count*self.update_perc/100,
doc_size = self.doc_size, mutate = self.mutate)
if "delete" in self.doc_ops:
self.gen_delete_users = doc_generator("Users", self.start,
self.start + (self.initial_load_count*self.delete_perc)/100, doc_size = self.doc_size)
self._iter_count += 1
if "create" in self.doc_ops:
self.start = self.end
self.end += self.initial_load_count*self.create_perc/100
self.gen_create_users = doc_generator("Users", self.start, self.end, doc_size = self.doc_size)
def data_validation_mode(self, tasks_info):
# if not self.atomicity:
self.data_validation(tasks_info)
'''
else:
for task in self.tasks:
self.task.jython_task_manager.get_task_result(task)
self.sleep(10)
'''
def get_bucket_dgm(self, bucket):
self.rest_client = BucketHelper(self.cluster.master)
dgm = self.rest_client.fetch_bucket_stats(
bucket.name)["op"]["samples"]["vb_active_resident_items_ratio"][-1]
self.log.info("Active Resident Threshold of {0} is {1}".format(bucket.name, dgm))
def print_crud_stats(self):
self.table = TableView(self.log.info)
self.table.set_headers(["Initial Items", "Current Items", "Items Updated", "Items Created", "Items Deleted"])
if self._iter_count != 0:
self.table.add_row([str(self.start - self.initial_load_count*self.delete_perc/100*(self._iter_count-1)),
str(self.end- self.initial_load_count*self.delete_perc/100*self._iter_count),
str(self.update_perc - self.update_perc) + "---" +
str(self.initial_load_count*self.update_perc/100),
str(self.start) + "---" + str(self.end),
str(self.start - self.initial_load_count*self.create_perc/100) + "---" +
str(self.start + (self.initial_load_count*self.delete_perc/100) - self.initial_load_count*self.create_perc/100)])
self.table.display("Docs statistics")
def test_volume_taf(self):
########################################################################################################################
self.log.info("Step1: Create a n node cluster")
nodes_init = self.cluster.servers[1:self.nodes_init] if self.nodes_init != 1 else []
self.task.rebalance([self.cluster.master], nodes_init, [])
self.cluster.nodes_in_cluster.extend([self.cluster.master] + nodes_init)
self.query_node = self.cluster.master
########################################################################################################################
self.log.info("Step 2 & 3: Create required buckets.")
bucket = self.create_required_buckets()
self.loop = 0
#######################################################################################################################
while self.loop<self.iterations:
self.log.info("Step 4: Pre-Requisites for Loading of docs")
self.start = 0
self.bucket_util.add_rbac_user()
self.end = self.initial_load_count = self.input.param("initial_load", 1000)
initial_load = doc_generator("Users", self.start, self.start + self.initial_load_count, doc_size=self.doc_size)
self.initial_data_load(initial_load)
self.tasks = []
self.bucket_util.print_bucket_stats()
self.get_bucket_dgm(bucket)
########################################################################################################################
self.log.info("Step 5: Rebalance in with Loading of docs")
self.generate_docs()
self.gen_delete_users=None
self._iter_count = 0
if not self.atomicity:
self.set_num_writer_and_reader_threads(num_writer_threads="disk_io_optimized",
num_reader_threads="disk_io_optimized")
rebalance_task = self.rebalance(nodes_in = 1, nodes_out = 0)
tasks_info = self.data_load()
if not self.atomicity:
self.set_num_writer_and_reader_threads(num_writer_threads=self.new_num_writer_threads,
num_reader_threads=self.new_num_reader_threads)
# self.sleep(600, "Wait for Rebalance to start")
self.task.jython_task_manager.get_task_result(rebalance_task)
reached = RestHelper(self.rest).rebalance_reached(wait_step=120)
self.assertTrue(reached, "rebalance failed, stuck or did not complete")
self.data_validation_mode(tasks_info)
self.tasks = []
self.bucket_util.print_bucket_stats()
self.print_crud_stats()
self.get_bucket_dgm(bucket)
#########################################################################################################################
self.log.info("Step 6: Rebalance Out with Loading of docs")
self.generate_docs()
if not self.atomicity:
self.set_num_writer_and_reader_threads(num_writer_threads="disk_io_optimized",
num_reader_threads="disk_io_optimized")
rebalance_task = self.rebalance(nodes_in = 0, nodes_out = 1)
tasks_info = self.data_load()
if not self.atomicity:
self.set_num_writer_and_reader_threads(num_writer_threads=self.new_num_writer_threads,
num_reader_threads=self.new_num_reader_threads)
# self.sleep(600, "Wait for Rebalance to start")
self.task.jython_task_manager.get_task_result(rebalance_task)
reached = RestHelper(self.rest).rebalance_reached(wait_step=120)
self.assertTrue(reached, "rebalance failed, stuck or did not complete")
self.data_validation_mode(tasks_info)
self.tasks = []
self.bucket_util.print_bucket_stats()
self.print_crud_stats()
self.get_bucket_dgm(bucket)
#######################################################################################################################
self.log.info("Step 7: Rebalance In_Out with Loading of docs")
self.generate_docs()
if not self.atomicity:
self.set_num_writer_and_reader_threads(num_writer_threads="disk_io_optimized",
num_reader_threads="disk_io_optimized")
rebalance_task = self.rebalance(nodes_in = 2, nodes_out = 1)
tasks_info = self.data_load()
if not self.atomicity:
self.set_num_writer_and_reader_threads(num_writer_threads=self.new_num_writer_threads,
num_reader_threads=self.new_num_reader_threads)
# self.sleep(600, "Wait for Rebalance to start")
self.task.jython_task_manager.get_task_result(rebalance_task)
reached = RestHelper(self.rest).rebalance_reached(wait_step=120)
self.assertTrue(reached, "rebalance failed, stuck or did not complete")
self.data_validation_mode(tasks_info)
self.tasks = []
self.bucket_util.print_bucket_stats()
self.print_crud_stats()
self.get_bucket_dgm(bucket)
########################################################################################################################
self.log.info("Step 8: Swap with Loading of docs")
self.generate_docs()
if not self.atomicity:
self.set_num_writer_and_reader_threads(num_writer_threads="disk_io_optimized",
num_reader_threads="disk_io_optimized")
rebalance_task = self.rebalance(nodes_in=1, nodes_out=1)
tasks_info = self.data_load()
if not self.atomicity:
self.set_num_writer_and_reader_threads(num_writer_threads=self.new_num_writer_threads,
num_reader_threads=self.new_num_reader_threads)
# self.sleep(600, "Wait for Rebalance to start")
self.task.jython_task_manager.get_task_result(rebalance_task)
reached = RestHelper(self.rest).rebalance_reached(wait_step=120)
self.assertTrue(reached, "rebalance failed, stuck or did not complete")
self.data_validation_mode(tasks_info)
self.tasks = []
self.bucket_util.print_bucket_stats()
self.print_crud_stats()
self.get_bucket_dgm(bucket)
########################################################################################################################
self.log.info("Step 9: Updating the bucket replica to 2")
bucket_helper = BucketHelper(self.cluster.master)
for i in range(len(self.bucket_util.buckets)):
bucket_helper.change_bucket_props(
self.bucket_util.buckets[i], replicaNumber=2)
self.generate_docs()
if not self.atomicity:
self.set_num_writer_and_reader_threads(num_writer_threads="disk_io_optimized",
num_reader_threads="disk_io_optimized")
rebalance_task = self.rebalance(nodes_in =1, nodes_out= 0)
tasks_info = self.data_load()
if not self.atomicity:
self.set_num_writer_and_reader_threads(num_writer_threads=self.new_num_writer_threads,
num_reader_threads=self.new_num_reader_threads)
# self.sleep(600, "Wait for Rebalance to start")
self.task.jython_task_manager.get_task_result(rebalance_task)
reached = RestHelper(self.rest).rebalance_reached(wait_step=120)
self.assertTrue(reached, "rebalance failed, stuck or did not complete")
self.data_validation_mode(tasks_info)
self.tasks = []
self.bucket_util.print_bucket_stats()
self.print_crud_stats()
self.get_bucket_dgm(bucket)
########################################################################################################################
if "ephemeral" in self.bucket_type:
self.log.info("No Memcached kill for epehemral bucket")
else:
self.log.info("Step 10: Stopping and restarting memcached process")
self.generate_docs()
if not self.atomicity:
self.set_num_writer_and_reader_threads(num_writer_threads=self.new_num_writer_threads,
num_reader_threads=self.new_num_reader_threads)
rebalance_task = self.task.async_rebalance(self.cluster.servers, [], [])
tasks_info = self.data_load()
if not self.atomicity:
self.set_num_writer_and_reader_threads(num_writer_threads="disk_io_optimized",
num_reader_threads="disk_io_optimized")
# self.sleep(600, "Wait for Rebalance to start")
self.task.jython_task_manager.get_task_result(rebalance_task)
reached = RestHelper(self.rest).rebalance_reached(wait_step=120)
self.assertTrue(reached, "rebalance failed, stuck or did not complete")
self.stop_process()
self.data_validation_mode(tasks_info)
self.tasks = []
self.bucket_util.print_bucket_stats()
self.print_crud_stats()
self.get_bucket_dgm(bucket)
########################################################################################################################
self.log.info("Step 11: Failover a node and RebalanceOut that node with loading in parallel")
self.std_vbucket_dist = self.input.param("std_vbucket_dist", None)
std = self.std_vbucket_dist or 1.0
prev_failover_stats = self.bucket_util.get_failovers_logs(self.cluster.nodes_in_cluster, self.bucket_util.buckets)
prev_vbucket_stats = self.bucket_util.get_vbucket_seqnos(self.cluster.nodes_in_cluster, self.bucket_util.buckets)
self.sleep(10)
disk_replica_dataset, disk_active_dataset = self.bucket_util.get_and_compare_active_replica_data_set_all(
self.cluster.nodes_in_cluster, self.bucket_util.buckets, path=None)
self.rest = RestConnection(self.cluster.master)
self.nodes = self.cluster_util.get_nodes(self.cluster.master)
self.chosen = self.cluster_util.pick_nodes(self.cluster.master, howmany=1)
# Mark Node for failover
self.generate_docs()
tasks_info = self.data_load()
self.success_failed_over = self.rest.fail_over(self.chosen[0].id, graceful=False)
self.sleep(300)
self.nodes = self.rest.node_statuses()
if not self.atomicity:
self.set_num_writer_and_reader_threads(num_writer_threads=self.new_num_writer_threads,
num_reader_threads=self.new_num_reader_threads)
self.rest.rebalance(otpNodes=[node.id for node in self.nodes], ejectedNodes=[self.chosen[0].id])
# self.sleep(600)
self.assertTrue(self.rest.monitorRebalance(stop_if_loop=True), msg="Rebalance failed")
servs_out = [node for node in self.cluster.servers if node.ip == self.chosen[0].ip]
self.cluster.nodes_in_cluster = list(set(self.cluster.nodes_in_cluster) - set(servs_out))
self.available_servers += servs_out
self.sleep(10)
self.data_validation_mode(tasks_info)
self.bucket_util.compare_failovers_logs(prev_failover_stats, self.cluster.nodes_in_cluster, self.bucket_util.buckets)
self.sleep(10)
self.bucket_util.data_analysis_active_replica_all(
disk_active_dataset, disk_replica_dataset,
self.cluster.servers[:self.nodes_in + self.nodes_init],
self.bucket_util.buckets, path=None)
nodes = self.cluster_util.get_nodes_in_cluster(self.cluster.master)
self.bucket_util.vb_distribution_analysis(
servers=nodes, buckets=self.bucket_util.buckets,
num_replicas=2,
std=std, total_vbuckets=self.cluster_util.vbuckets)
self.sleep(10)
self.tasks = []
rebalance_task = self.rebalance(nodes_in=1, nodes_out=0)
# self.sleep(600)
self.task.jython_task_manager.get_task_result(rebalance_task)
reached = RestHelper(self.rest).rebalance_reached(wait_step=120)
self.assertTrue(reached, "rebalance failed, stuck or did not complete")
self.bucket_util.print_bucket_stats()
self.print_crud_stats()
self.get_bucket_dgm(bucket)
########################################################################################################################
self.log.info("Step 12: Failover a node and FullRecovery that node")
self.std_vbucket_dist = self.input.param("std_vbucket_dist", None)
std = self.std_vbucket_dist or 1.0
prev_failover_stats = self.bucket_util.get_failovers_logs(self.cluster.nodes_in_cluster, self.bucket_util.buckets)
prev_vbucket_stats = self.bucket_util.get_vbucket_seqnos(self.cluster.nodes_in_cluster, self.bucket_util.buckets)
self.sleep(10)
disk_replica_dataset, disk_active_dataset = self.bucket_util.get_and_compare_active_replica_data_set_all(
self.cluster.nodes_in_cluster, self.bucket_util.buckets, path=None)
self.rest = RestConnection(self.cluster.master)
self.nodes = self.cluster_util.get_nodes(self.cluster.master)
self.chosen = self.cluster_util.pick_nodes(self.cluster.master, howmany=1)
self.generate_docs()
tasks_info = self.data_load()
# Mark Node for failover
self.success_failed_over = self.rest.fail_over(self.chosen[0].id, graceful=False)
self.sleep(300)
# Mark Node for full recovery
if self.success_failed_over:
self.rest.set_recovery_type(otpNode=self.chosen[0].id, recoveryType="full")
if not self.atomicity:
self.set_num_writer_and_reader_threads(num_writer_threads=self.new_num_writer_threads,
num_reader_threads=self.new_num_reader_threads)
rebalance_task = self.task.async_rebalance(
self.cluster.servers[:self.nodes_init], [], [])
if not self.atomicity:
self.set_num_writer_and_reader_threads(num_writer_threads="disk_io_optimized",
num_reader_threads="disk_io_optimized")
# self.sleep(600)
self.task.jython_task_manager.get_task_result(rebalance_task)
reached = RestHelper(self.rest).rebalance_reached(wait_step=120)
self.assertTrue(reached, "rebalance failed, stuck or did not complete")
self.sleep(10)
self.data_validation_mode(tasks_info)
self.bucket_util.compare_failovers_logs(prev_failover_stats, self.cluster.nodes_in_cluster, self.bucket_util.buckets)
self.sleep(10)
self.bucket_util.data_analysis_active_replica_all(
disk_active_dataset, disk_replica_dataset,
self.cluster.servers[:self.nodes_in + self.nodes_init],
self.bucket_util.buckets, path=None)
nodes = self.cluster_util.get_nodes_in_cluster(self.cluster.master)
self.bucket_util.vb_distribution_analysis(
servers=nodes, buckets=self.bucket_util.buckets,
num_replicas=2,
std=std, total_vbuckets=self.cluster_util.vbuckets)
self.sleep(10)
self.tasks = []
self.bucket_util.print_bucket_stats()
self.print_crud_stats()
self.get_bucket_dgm(bucket)
########################################################################################################################
self.log.info("Step 13: Failover a node and DeltaRecovery that node with loading in parallel")
self.std_vbucket_dist = self.input.param("std_vbucket_dist", None)
std = self.std_vbucket_dist or 1.0
prev_failover_stats = self.bucket_util.get_failovers_logs(self.cluster.nodes_in_cluster, self.bucket_util.buckets)
prev_vbucket_stats = self.bucket_util.get_vbucket_seqnos(self.cluster.nodes_in_cluster, self.bucket_util.buckets)
self.sleep(10)
disk_replica_dataset, disk_active_dataset = self.bucket_util.get_and_compare_active_replica_data_set_all(
self.cluster.nodes_in_cluster, self.bucket_util.buckets, path=None)
self.rest = RestConnection(self.cluster.master)
self.nodes = self.cluster_util.get_nodes(self.cluster.master)
self.chosen = self.cluster_util.pick_nodes(self.cluster.master, howmany=1)
self.generate_docs()
tasks_info = self.data_load()
# Mark Node for failover
self.success_failed_over = self.rest.fail_over(self.chosen[0].id, graceful=False)
self.sleep(300)
if self.success_failed_over:
self.rest.set_recovery_type(otpNode=self.chosen[0].id, recoveryType="delta")
if not self.atomicity:
self.set_num_writer_and_reader_threads(num_writer_threads=self.new_num_writer_threads,
num_reader_threads=self.new_num_reader_threads)
rebalance_task = self.task.async_rebalance(
self.cluster.servers[:self.nodes_init], [], [])
if not self.atomicity:
self.set_num_writer_and_reader_threads(num_writer_threads="disk_io_optimized",
num_reader_threads="disk_io_optimized")
# self.sleep(600)
self.task.jython_task_manager.get_task_result(rebalance_task)
reached = RestHelper(self.rest).rebalance_reached(wait_step=120)
self.assertTrue(reached, "rebalance failed, stuck or did not complete")
self.sleep(10)
self.data_validation_mode(tasks_info)
self.bucket_util.compare_failovers_logs(prev_failover_stats, self.cluster.nodes_in_cluster, self.bucket_util.buckets)
self.sleep(10)
self.bucket_util.data_analysis_active_replica_all(
disk_active_dataset, disk_replica_dataset,
self.cluster.servers[:self.nodes_in + self.nodes_init],
self.bucket_util.buckets, path=None)
nodes = self.cluster_util.get_nodes_in_cluster(self.cluster.master)
self.bucket_util.vb_distribution_analysis(
servers=nodes, buckets=self.bucket_util.buckets,
num_replicas=2,
std=std, total_vbuckets=self.cluster_util.vbuckets)
self.bucket_util.print_bucket_stats()
self.print_crud_stats()
self.get_bucket_dgm(bucket)
########################################################################################################################
self.log.info("Step 14: Updating the bucket replica to 1")
bucket_helper = BucketHelper(self.cluster.master)
for i in range(len(self.bucket_util.buckets)):
bucket_helper.change_bucket_props(
self.bucket_util.buckets[i], replicaNumber=1)
self.generate_docs()
if not self.atomicity:
self.set_num_writer_and_reader_threads(num_writer_threads=self.new_num_writer_threads,
num_reader_threads=self.new_num_reader_threads)
rebalance_task = self.task.async_rebalance(self.cluster.servers, [], [])
tasks_info = self.data_load()
if not self.atomicity:
self.set_num_writer_and_reader_threads(num_writer_threads="disk_io_optimized",
num_reader_threads="disk_io_optimized")
# self.sleep(600, "Wait for Rebalance to start")
self.task.jython_task_manager.get_task_result(rebalance_task)
reached = RestHelper(self.rest).rebalance_reached(wait_step=120)
self.assertTrue(reached, "rebalance failed, stuck or did not complete")
self.data_validation_mode(tasks_info)
self.tasks = []
self.bucket_util.print_bucket_stats()
self.print_crud_stats()
self.get_bucket_dgm(bucket)
########################################################################################################################
self.log.info("Step 15: Flush the bucket and start the entire process again")
self.loop += 1
if self.loop < self.iterations:
# Flush the bucket
self.bucket_util.flush_all_buckets(self.cluster.master)
self.sleep(10)
if len(self.cluster.nodes_in_cluster) > self.nodes_init:
self.nodes_cluster = self.cluster.nodes_in_cluster[:]
self.nodes_cluster.remove(self.cluster.master)
servs_out = random.sample(self.nodes_cluster, int(len(self.cluster.nodes_in_cluster) - self.nodes_init))
rebalance_task = self.task.async_rebalance(
self.cluster.servers[:self.nodes_init], [], servs_out)
# self.sleep(600)
self.task.jython_task_manager.get_task_result(rebalance_task)
self.available_servers += servs_out
self.cluster.nodes_in_cluster = list(set(self.cluster.nodes_in_cluster) - set(servs_out))
reached = RestHelper(self.rest).rebalance_reached(wait_step=120)
self.assertTrue(reached, "rebalance failed, stuck or did not complete")
self.get_bucket_dgm(bucket)
self._iter_count = 0
else:
self.log.info("Volume Test Run Complete")
self.get_bucket_dgm(bucket)