def test_timeout_with_successful_crud(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 operation 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'
"""
shell_conn = dict()
cbstat_obj = dict()
error_sim = dict()
doc_gen = dict()
vb_info = dict()
vb_info["init"] = dict()
vb_info["afterCrud"] = dict()
vb_info["withinTimeout"] = dict()
target_nodes = self.getTargetNodes()
for node in target_nodes:
shell_conn[node.ip] = RemoteMachineShellConnection(node)
cbstat_obj[node.ip] = Cbstats(node)
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])
doc_gen["insert"] = sub_doc_generator(self.key,
self.num_items / 2,
self.num_items,
key_size=self.key_size,
doc_size=self.sub_doc_size)
doc_gen["read"] = sub_doc_generator(self.key,
self.num_items / 4,
self.num_items / 2,
key_size=self.key_size)
doc_gen["upsert"] = sub_doc_generator_for_edit(self.key,
self.num_items / 4,
self.num_items / 2,
key_size=self.key_size,
template_index=2)
doc_gen["remove"] = sub_doc_generator_for_edit(self.key,
0,
self.num_items / 4,
key_size=self.key_size,
template_index=2)
for op_type in doc_gen.keys():
self.log.info("Performing '%s' with timeout=%s" %
(op_type, self.sdk_timeout))
doc_load_task = self.task.async_load_gen_sub_docs(
self.cluster,
self.bucket,
doc_gen[op_type],
op_type,
self.maxttl,
path_create=True,
batch_size=500,
process_concurrency=8,
replicate_to=self.replicate_to,
persist_to=self.persist_to,
durability=self.durability_level,
timeout_secs=self.sdk_timeout)
# 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 before reverting the error condition")
# Revert the specified error scenario
for node in target_nodes:
error_sim[node.ip].revert(self.simulate_error,
bucket_name=self.bucket.name)
self.task_manager.get_task_result(doc_load_task)
if len(doc_load_task.fail.keys()) != 0:
if op_type == "read":
self.log.warning("Read failed for %d keys: %s" % (len(
doc_load_task.fail.keys()), doc_load_task.fail.keys()))
else:
self.log_failure("Failures during %s operation: %s" %
(op_type, doc_load_task.fail))
# Fetch latest stats and validate the values are updated
for node in target_nodes:
if op_type == "read":
continue
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_seqno not updated. {0} == {1}".format(
vb_info["init"][node.ip],
vb_info["afterCrud"][node.ip]))
# # Retry failed docs (if any)
# retry_failed = self.durability_helper.retry_with_no_error(
# client, doc_load_task.fail, op_type)
# if retry_failed:
# self.log_failure(msg.format(op_type))
# Disconnect the shell connection
for node in target_nodes:
shell_conn[node.ip].disconnect()
# Read mutation field from all docs for validation
gen_read = sub_doc_generator_for_edit(self.key,
0,
self.num_items,
key_size=self.key_size)
gen_read.template = '{{ "mutated": "" }}'
reader_task = self.task.async_load_gen_sub_docs(
self.cluster,
self.bucket,
gen_read,
"read",
batch_size=50,
process_concurrency=8,
timeout_secs=self.sdk_timeout)
self.task_manager.get_task_result(reader_task)
len_failed_keys = len(reader_task.fail.keys())
if len_failed_keys != 0:
self.log_failure("Failures in read_task (%d): %s" %
(len_failed_keys, reader_task.fail.keys()))
for doc_key, crud_result in reader_task.success.items():
expected_val = 2
if int(doc_key.split('-')[1]) >= self.num_items / 2:
expected_val = 1
if reader_task.success[doc_key]["value"][0] != expected_val:
self.log_failure("Value mismatch for %s: %s" %
(doc_key, crud_result))
# Verify initial doc load count
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)
self.validate_test_failure()
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()
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()
def test_with_persistence_issues(self):
"""
1. Select nodes from the cluster to simulate the specified error
2. Perform CRUD on the target bucket with given timeout
3. Using cbstats to verify the operation succeeds
4. Validate all mutations met the durability condition
"""
if self.durability_level.upper() in [
Bucket.DurabilityLevel.MAJORITY_AND_PERSIST_TO_ACTIVE,
Bucket.DurabilityLevel.PERSIST_TO_MAJORITY
]:
self.log.critical("Test not valid for persistence durability")
return
error_sim = dict()
shell_conn = dict()
cbstat_obj = dict()
failover_info = dict()
vb_info_info = dict()
active_vbs_in_target_nodes = list()
failover_info["init"] = dict()
failover_info["afterCrud"] = dict()
vb_info_info["init"] = dict()
vb_info_info["afterCrud"] = dict()
def_bucket = self.bucket_util.buckets[0]
insert_end_index = self.num_items / 3
upsert_end_index = (self.num_items / 3) * 2
self.log.info("Selecting nodes to simulate error condition")
target_nodes = self.getTargetNodes()
self.log.info("Will simulate error condition on %s" % target_nodes)
for node in target_nodes:
# Create shell_connections
shell_conn[node.ip] = RemoteMachineShellConnection(node)
cbstat_obj[node.ip] = Cbstats(shell_conn[node.ip])
active_vbs = cbstat_obj[node.ip].vbucket_list(
def_bucket.name, "active")
active_vbs_in_target_nodes += active_vbs
vb_info_info["init"][node.ip] = cbstat_obj[node.ip].vbucket_seqno(
def_bucket.name)
failover_info["init"][node.ip] = \
cbstat_obj[node.ip].failover_stats(def_bucket.name)
for node in target_nodes:
# Perform specified action
error_sim[node.ip] = CouchbaseError(self.log, shell_conn[node.ip])
error_sim[node.ip].create(self.simulate_error,
bucket_name=def_bucket.name)
# Load sub_docs for upsert/remove mutation to work
sub_doc_gen = sub_doc_generator(self.key,
start=insert_end_index,
end=self.num_items,
key_size=self.key_size,
doc_size=self.sub_doc_size,
target_vbucket=self.target_vbucket,
vbuckets=self.cluster_util.vbuckets)
task = self.task.async_load_gen_sub_docs(
self.cluster,
def_bucket,
sub_doc_gen,
DocLoading.Bucket.SubDocOps.INSERT,
self.maxttl,
path_create=True,
batch_size=20,
process_concurrency=8,
persist_to=self.persist_to,
replicate_to=self.replicate_to,
durability=self.durability_level,
timeout_secs=self.sdk_timeout)
self.task_manager.get_task_result(task)
# Perform CRUDs with induced error scenario is active
tasks = list()
gen_create = sub_doc_generator(self.key,
0,
insert_end_index,
key_size=self.key_size,
target_vbucket=self.target_vbucket,
vbuckets=self.cluster_util.vbuckets)
gen_update = sub_doc_generator_for_edit(
self.key,
insert_end_index,
upsert_end_index,
key_size=self.key_size,
template_index=0,
target_vbucket=self.target_vbucket)
gen_delete = sub_doc_generator_for_edit(
self.key,
upsert_end_index,
self.num_items,
key_size=self.key_size,
template_index=2,
target_vbucket=self.target_vbucket)
self.log.info("Starting parallel doc_ops - insert/Read/upsert/remove")
tasks.append(
self.task.async_load_gen_sub_docs(
self.cluster,
def_bucket,
gen_create,
DocLoading.Bucket.SubDocOps.INSERT,
0,
path_create=True,
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))
tasks.append(
self.task.async_load_gen_sub_docs(self.cluster,
def_bucket,
gen_update,
"read",
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))
tasks.append(
self.task.async_load_gen_sub_docs(
self.cluster,
def_bucket,
gen_update,
DocLoading.Bucket.SubDocOps.UPSERT,
0,
path_create=True,
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))
tasks.append(
self.task.async_load_gen_sub_docs(
self.cluster,
def_bucket,
gen_delete,
DocLoading.Bucket.SubDocOps.REMOVE,
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)
# Verify there is not failed docs in the task
if len(task.fail.keys()) != 0:
self.log_failure("Some CRUD failed for {0}".format(task.fail))
# Revert the induced error condition
for node in target_nodes:
error_sim[node.ip].revert(self.simulate_error,
bucket_name=def_bucket.name)
# Disconnect the shell connection
shell_conn[node.ip].disconnect()
# Fetch latest failover stats and validate the values are updated
self.log.info("Validating failover and seqno cbstats")
for node in target_nodes:
vb_info_info["afterCrud"][node.ip] = \
cbstat_obj[node.ip].vbucket_seqno(def_bucket.name)
failover_info["afterCrud"][node.ip] = \
cbstat_obj[node.ip].failover_stats(def_bucket.name)
# Failover validation
val = failover_info["init"][node.ip] \
!= failover_info["afterCrud"][node.ip]
self.assertTrue(val, msg="Failover stats got updated")
# Seq_no validation (High level)
val = vb_info_info["init"][node.ip] \
!= vb_info_info["afterCrud"][node.ip]
self.assertTrue(val, msg="vbucket seq_no not updated after CRUDs")
# Verify doc count
self.log.info("Validating doc count")
self.bucket_util._wait_for_stats_all_buckets()
self.bucket_util.verify_stats_all_buckets(self.num_items)
self.validate_test_failure()
def test_with_process_crash(self):
"""
Test to make sure durability will succeed even if a node goes down
due to crash and has enough nodes to satisfy the durability
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 the operation succeeds
4. Validate all mutations are succeeded
Note: self.sdk_timeout values is considered as 'seconds'
"""
if self.num_replicas < 2:
self.assertTrue(False, msg="Required: num_replicas > 1")
# Override num_of_nodes affected to 1
self.num_nodes_affected = 1
error_sim = dict()
shell_conn = dict()
cbstat_obj = dict()
failover_info = dict()
vb_info_info = dict()
target_vbuckets = range(0, self.cluster_util.vbuckets)
active_vbs_in_target_nodes = list()
failover_info["init"] = dict()
failover_info["afterCrud"] = dict()
vb_info_info["init"] = dict()
vb_info_info["afterCrud"] = dict()
def_bucket = self.bucket_util.buckets[0]
insert_end_index = self.num_items / 3
upsert_end_index = (self.num_items / 3) * 2
self.log.info("Selecting nodes to simulate error condition")
target_nodes = self.getTargetNodes()
self.log.info("Will simulate error condition on %s" % target_nodes)
for node in target_nodes:
# Create shell_connections
shell_conn[node.ip] = RemoteMachineShellConnection(node)
cbstat_obj[node.ip] = Cbstats(shell_conn[node.ip])
active_vbs = cbstat_obj[node.ip].vbucket_list(
def_bucket.name, "active")
active_vbs_in_target_nodes += active_vbs
vb_info_info["init"][node.ip] = cbstat_obj[node.ip].vbucket_seqno(
def_bucket.name)
failover_info["init"][node.ip] = \
cbstat_obj[node.ip].failover_stats(def_bucket.name)
# Load sub_docs for upsert/remove mutation to work
sub_doc_gen = sub_doc_generator(self.key,
start=0,
end=self.num_items / 2,
key_size=self.key_size,
doc_size=self.sub_doc_size)
task = self.task.async_load_gen_sub_docs(
self.cluster,
def_bucket,
sub_doc_gen,
DocLoading.Bucket.SubDocOps.INSERT,
self.maxttl,
path_create=True,
batch_size=20,
process_concurrency=8,
persist_to=self.persist_to,
replicate_to=self.replicate_to,
durability=self.durability_level,
timeout_secs=self.sdk_timeout)
self.task_manager.get_task_result(task)
for node in target_nodes:
# Perform specified action
error_sim[node.ip] = CouchbaseError(self.log, shell_conn[node.ip])
error_sim[node.ip].create(self.simulate_error,
bucket_name=def_bucket.name)
# Remove active vbuckets from doc_loading to avoid errors
target_vbuckets = list(
set(target_vbuckets) ^ set(active_vbs_in_target_nodes))
# Perform CRUDs with induced error scenario is active
tasks = dict()
gen = dict()
gen["insert"] = sub_doc_generator(self.key,
self.num_items / 2,
self.crud_batch_size,
key_size=self.key_size,
target_vbucket=target_vbuckets)
gen["read"] = sub_doc_generator_for_edit(
self.key,
self.num_items / 4,
50,
key_size=self.key_size,
template_index=0,
target_vbucket=target_vbuckets)
gen["upsert"] = sub_doc_generator_for_edit(
self.key,
self.num_items / 4,
50,
key_size=self.key_size,
template_index=0,
target_vbucket=target_vbuckets)
gen["remove"] = sub_doc_generator_for_edit(
self.key,
0,
50,
key_size=self.key_size,
template_index=2,
target_vbucket=target_vbuckets)
self.log.info("Starting parallel doc_ops - insert/Read/upsert/remove")
tasks["insert"] = self.task.async_load_gen_sub_docs(
self.cluster,
def_bucket,
gen["insert"],
DocLoading.Bucket.SubDocOps.INSERT,
0,
path_create=True,
batch_size=1,
process_concurrency=1,
replicate_to=self.replicate_to,
persist_to=self.persist_to,
durability=self.durability_level,
print_ops_rate=False,
timeout_secs=self.sdk_timeout)
tasks["read"] = self.task.async_load_gen_sub_docs(
self.cluster,
def_bucket,
gen["read"],
"read",
0,
batch_size=1,
process_concurrency=1,
print_ops_rate=False,
timeout_secs=self.sdk_timeout)
tasks["upsert"] = self.task.async_load_gen_sub_docs(
self.cluster,
def_bucket,
gen["upsert"],
DocLoading.Bucket.SubDocOps.UPSERT,
0,
path_create=True,
batch_size=1,
process_concurrency=1,
replicate_to=self.replicate_to,
persist_to=self.persist_to,
durability=self.durability_level,
print_ops_rate=False,
timeout_secs=self.sdk_timeout)
tasks["remove"] = self.task.async_load_gen_sub_docs(
self.cluster,
def_bucket,
gen["remove"],
DocLoading.Bucket.SubDocOps.REMOVE,
0,
batch_size=1,
process_concurrency=1,
replicate_to=self.replicate_to,
persist_to=self.persist_to,
durability=self.durability_level,
print_ops_rate=False,
timeout_secs=self.sdk_timeout)
# Wait for document_loader tasks to complete
for _, task in tasks.items():
self.task_manager.get_task_result(task)
# Revert the induced error condition
for node in target_nodes:
error_sim[node.ip].revert(self.simulate_error,
bucket_name=def_bucket.name)
# Read mutation field from all docs for validation
gen_read = sub_doc_generator_for_edit(self.key,
0,
self.num_items,
0,
key_size=self.key_size)
gen_read.template = '{{ "mutated": "" }}'
reader_task = self.task.async_load_gen_sub_docs(
self.cluster,
def_bucket,
gen_read,
"read",
key_size=self.key_size,
batch_size=50,
process_concurrency=8,
timeout_secs=self.sdk_timeout)
self.task_manager.get_task_result(reader_task)
# Validation for each CRUD task
for op_type, task in tasks.items():
if len(task.success.keys()) != len(gen[op_type].doc_keys):
self.log_failure("Failure during %s operation" % op_type)
elif len(task.fail.keys()) != 0:
self.log_failure("Some CRUD failed during %s: %s" %
(op_type, task.fail))
for doc_key, crud_result in task.success.items():
if crud_result["cas"] == 0:
self.log_failure("%s failed for %s: %s" %
(op_type, doc_key, crud_result))
if op_type == DocLoading.Bucket.SubDocOps.INSERT:
if reader_task.success[doc_key]["value"][0] != 1:
self.log_failure("%s value mismatch for %s: %s" %
(op_type, doc_key, crud_result))
elif op_type in [
DocLoading.Bucket.SubDocOps.UPSERT,
DocLoading.Bucket.SubDocOps.REMOVE
]:
if reader_task.success[doc_key]["value"][0] != 2:
self.log_failure("%s value mismatch for %s: %s" %
(op_type, doc_key, crud_result))
# Verify there is not failed docs in the task
# Fetch latest failover stats and validate the values are updated
self.log.info("Validating failover and seqno cbstats")
for node in target_nodes:
vb_info_info["afterCrud"][node.ip] = \
cbstat_obj[node.ip].vbucket_seqno(def_bucket.name)
failover_info["afterCrud"][node.ip] = \
cbstat_obj[node.ip].failover_stats(def_bucket.name)
# Failover validation
val = failover_info["init"][node.ip] \
== failover_info["afterCrud"][node.ip]
error_msg = "Failover stats not updated after error condition"
self.assertTrue(val, msg=error_msg)
# Seq_no validation (High level)
val = vb_info_info["init"][node.ip] \
!= vb_info_info["afterCrud"][node.ip]
self.assertTrue(val, msg="vbucket seq_no not updated after CRUDs")
# Disconnect the shell connection
for node in target_nodes:
shell_conn[node.ip].disconnect()
# Verify doc count
self.log.info("Validating doc count")
self.bucket_util._wait_for_stats_all_buckets()
self.bucket_util.verify_stats_all_buckets(self.num_items)
self.validate_test_failure()
def test_non_overlapping_parallel_cruds(self):
"""
Test to run non-overlapping durability cruds on single bucket
and make sure all CRUD operation succeeds
1. Run single task_1 with durability operation
2. Create parallel task to run either SyncWrite / Non-SyncWrite
operation based on the config param and run that over the docs
such that it will not overlap with the other tasks
3. Make sure all CRUDs succeeded without any unexpected exceptions
"""
doc_ops = self.input.param("doc_ops", "insert;upsert;remove;read")
doc_ops = doc_ops.split(";")
doc_gen = dict()
sub_doc_gen = dict()
tasks = list()
insert_end_index = self.num_items / 3
upsert_end_index = (self.num_items / 3) * 2
def_bucket = self.bucket_util.buckets[0]
# Stat validation reference variables
verification_dict = dict()
verification_dict["ops_create"] = 0
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
# Load sub_docs for upsert/remove to work
curr_doc_gen = sub_doc_generator(self.key,
insert_end_index,
self.num_items,
key_size=self.key_size)
task = self.task.async_load_gen_sub_docs(
self.cluster,
def_bucket,
curr_doc_gen,
DocLoading.Bucket.SubDocOps.INSERT,
self.maxttl,
path_create=True,
batch_size=10,
process_concurrency=8,
durability=self.durability_level,
timeout_secs=self.sdk_timeout)
self.task.jython_task_manager.get_task_result(task)
verification_dict["ops_update"] += \
(curr_doc_gen.end - curr_doc_gen.start)
if self.durability_level:
verification_dict["sync_write_committed_count"] += \
(curr_doc_gen.end - curr_doc_gen.start)
# Create required doc_generators for CRUD ops
doc_gen["create"] = doc_generator(self.key,
self.num_items,
self.num_items * 2,
doc_size=self.doc_size,
target_vbucket=self.target_vbucket,
vbuckets=self.cluster_util.vbuckets)
doc_gen["read"] = doc_generator(self.key, 0, self.num_items)
# Create sub-doc generators for CRUD test
sub_doc_gen["insert"] = sub_doc_generator(self.key,
start=0,
end=insert_end_index,
key_size=self.key_size,
doc_size=self.sub_doc_size)
sub_doc_gen["read"] = sub_doc_generator(self.key,
start=insert_end_index,
end=upsert_end_index,
key_size=self.key_size,
doc_size=self.sub_doc_size)
sub_doc_gen["upsert"] = sub_doc_generator_for_edit(
self.key,
start=insert_end_index,
end=upsert_end_index,
template_index=0,
key_size=self.key_size,
target_vbucket=self.target_vbucket,
vbuckets=self.cluster_util.vbuckets)
sub_doc_gen["remove"] = sub_doc_generator_for_edit(
self.key,
start=upsert_end_index,
end=self.num_items,
template_index=2,
key_size=self.key_size,
target_vbucket=self.target_vbucket,
vbuckets=self.cluster_util.vbuckets)
# Start full document mutations before starting sub_doc ops
tasks.append(
self.task.async_load_gen_docs(self.cluster,
def_bucket,
doc_gen["create"],
"create",
0,
batch_size=10,
process_concurrency=1,
durability=self.durability_level,
timeout_secs=self.sdk_timeout))
tasks.append(
self.task.async_load_gen_docs(self.cluster,
def_bucket,
doc_gen["read"],
"read",
0,
batch_size=10,
process_concurrency=1,
durability=self.durability_level,
timeout_secs=self.sdk_timeout))
# Start Sub_document mutations
for index in range(0, 4):
op_type = doc_ops[index]
curr_doc_gen = sub_doc_gen[op_type]
mutation_count = curr_doc_gen.end - curr_doc_gen.start
if op_type != "read":
verification_dict["ops_update"] += mutation_count
if index < 2:
# Durability doc_loader for first two ops specified in doc_ops
tasks.append(
self.task.async_load_gen_sub_docs(
self.cluster,
def_bucket,
curr_doc_gen,
op_type,
0,
path_create=True,
batch_size=10,
process_concurrency=1,
durability=self.durability_level,
timeout_secs=self.sdk_timeout))
if op_type != "read" and self.durability_level:
verification_dict["sync_write_committed_count"] += \
mutation_count
else:
# Non-SyncWrites for last two ops specified in doc_ops
tasks.append(
self.task.async_load_gen_sub_docs(
self.cluster,
def_bucket,
curr_doc_gen,
op_type,
0,
path_create=True,
batch_size=10,
process_concurrency=1,
replicate_to=self.replicate_to,
persist_to=self.persist_to,
timeout_secs=self.sdk_timeout))
# Wait for all task to complete
for task in tasks:
self.task.jython_task_manager.get_task_result(task)
# Update num_items to sync with new docs created
self.num_items *= 2
verification_dict["ops_create"] = self.num_items
if self.durability_level:
verification_dict["sync_write_committed_count"] += \
self.num_items
# Verify doc count and other stats
self.bucket_util._wait_for_stats_all_buckets()
self.bucket_util.verify_stats_all_buckets(self.num_items)
# Verify vb-details cbstats
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")
def test_non_overlapping_similar_crud(self):
"""
Test to run non-overlapping durability cruds on single bucket
and make sure all CRUD operation succeeds
1. Run single task_1 with durability operation
2. Create parallel task to run either SyncWrite / Non-SyncWrite
operation based on the config param and run that over the docs
such that it will not overlap with other tasks
3. Make sure all CRUDs succeeded without any unexpected exceptions
"""
doc_ops = self.input.param("op_type", "create")
tasks = list()
def_bucket = self.bucket_util.buckets[0]
# Stat validation reference variables
verification_dict = dict()
verification_dict["ops_create"] = 0
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
self.log.info("Loading documents to support further sub_doc ops")
doc_gen = doc_generator(self.key,
self.num_items,
self.num_items * 2,
doc_size=self.doc_size,
target_vbucket=self.target_vbucket,
vbuckets=self.cluster_util.vbuckets)
task = self.task.async_load_gen_docs(self.cluster,
def_bucket,
doc_gen,
"create",
self.maxttl,
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)
half_of_num_items = self.num_items
self.num_items *= 2
# Update verification_dict and validate
verification_dict["ops_create"] = self.num_items
if self.durability_level:
verification_dict["sync_write_committed_count"] = self.num_items
self.log.info("Validating doc_count")
self.bucket_util._wait_for_stats_all_buckets()
self.bucket_util.verify_stats_all_buckets(self.num_items)
# Create required doc_generators for CRUD ops
doc_gen = dict()
read_gen = doc_generator(self.key, 0, self.num_items)
if doc_ops == DocLoading.Bucket.SubDocOps.INSERT:
doc_gen[0] = sub_doc_generator(self.key,
0,
half_of_num_items,
key_size=self.key_size,
doc_size=self.sub_doc_size,
target_vbucket=self.target_vbucket,
vbuckets=self.cluster_util.vbuckets)
doc_gen[1] = sub_doc_generator(self.key,
half_of_num_items,
self.num_items,
key_size=self.key_size,
doc_size=self.sub_doc_size,
target_vbucket=self.target_vbucket,
vbuckets=self.cluster_util.vbuckets)
elif doc_ops in [
DocLoading.Bucket.SubDocOps.UPSERT,
DocLoading.Bucket.SubDocOps.REMOVE
]:
self.log.info("Creating sub_docs before upsert/remove operation")
sub_doc_gen = 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)
template_index_1 = 0
template_index_2 = 1
if doc_ops == DocLoading.Bucket.SubDocOps.REMOVE:
template_index_1 = 2
template_index_2 = 2
task = self.task.async_load_gen_sub_docs(
self.cluster,
def_bucket,
sub_doc_gen,
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)
verification_dict["ops_update"] += self.num_items
if self.durability_level:
verification_dict["sync_write_committed_count"] += \
self.num_items
doc_gen[0] = sub_doc_generator_for_edit(
self.key,
start=0,
end=half_of_num_items,
key_size=self.key_size,
template_index=template_index_1,
target_vbucket=self.target_vbucket,
vbuckets=self.cluster_util.vbuckets)
doc_gen[1] = sub_doc_generator_for_edit(
self.key,
start=half_of_num_items,
end=self.num_items,
key_size=self.key_size,
template_index=template_index_2,
target_vbucket=self.target_vbucket,
vbuckets=self.cluster_util.vbuckets)
else:
self.fail("Invalid sub_doc operation '%s'" % doc_ops)
# Sync_Writes for doc_ops[0]
tasks.append(
self.task.async_load_gen_sub_docs(self.cluster,
def_bucket,
doc_gen[0],
doc_ops,
self.maxttl,
path_create=True,
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))
# Non_SyncWrites for doc_ops[1]
tasks.append(
self.task.async_load_gen_sub_docs(self.cluster,
def_bucket,
doc_gen[1],
doc_ops,
self.maxttl,
path_create=True,
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))
# Generic reader task - reads entire document instead of sub-doc
tasks.append(
self.task.async_load_gen_docs(self.cluster,
def_bucket,
read_gen,
"read",
0,
batch_size=10,
process_concurrency=1,
timeout_secs=self.sdk_timeout))
verification_dict["ops_update"] += self.num_items
if self.durability_level:
verification_dict["sync_write_committed_count"] += self.num_items
# Wait for all task to complete
for task in tasks:
self.task.jython_task_manager.get_task_result(task)
# Verify doc count and other stats
self.bucket_util._wait_for_stats_all_buckets()
self.bucket_util.verify_stats_all_buckets(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")
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 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()
