def setUp(self):
super(SpatialViewsTests, self).setUp()
self.thread_crashed = Event()
self.thread_stopped = Event()
self.skip_rebalance = self.input.param("skip_rebalance", False)
self.use_dev_views = self.input.param("use-dev-views", False)
self.default_map = "function (doc) {emit(doc.geometry, doc.age);}"
self.map_updated = "function (doc) {emit(doc.geometry, doc.name);}"
self.default_ddoc_name = self.input.param("default_ddoc_name",
"test-ddoc")
self.default_view_name = self.input.param("default_view_name",
"test-view")
self.ddoc_op = self.input.param("ddoc-ops",
"create") #create\update\delete
self.bucket_name = "default"
if self.standard_buckets:
self.bucket_name = "standard_bucket0"
if self.sasl_buckets:
self.bucket_name = "bucket0"
self.helper = SpatialHelper(self, self.bucket_name)
if not self.skip_rebalance:
self.cluster.rebalance(self.servers[:], self.servers[1:], [])
#load some items to verify
self.docs = self.helper.insert_docs(self.num_items,
'spatial-doc',
return_docs=True)
self.num_ddoc = self.input.param('num-ddoc', 1)
self.views_per_ddoc = self.input.param('views-per-ddoc', 1)
self.non_spatial_views_per_ddoc = self.input.param(
'non-spatial-views-per-ddoc', 0)
if self.ddoc_op == 'update' or self.ddoc_op == 'delete':
ddocs = self.make_ddocs(self.num_ddoc, self.views_per_ddoc,
self.non_spatial_views_per_ddoc)
self.create_ddocs(ddocs)
def setUp(self):
self.helper = SpatialHelper(self, self.bucket_name)
super(SpatialViewQueriesTests, self).setUp()
self.thread_crashed = Event()
self.thread_stopped = Event()
self.skip_rebalance = self.input.param("skip_rebalance", False)
self.use_dev_views = self.input.param("use-dev-views", False)
self.all_view_one_ddoc = self.input.param("all-view-one-ddoc", False)
self.default_ddoc_name = "test-ddoc-query"
self.default_view_name = "test-view-query"
self.params = self.get_query_params()
self.bucket_name = "default"
if self.standard_buckets:
self.bucket_name = "standard_bucket0"
if self.sasl_buckets:
self.bucket_name = "bucket0"
if not self.skip_rebalance:
self.cluster.rebalance(self.servers[:], self.servers[1:], [])
#load some items to verify
self.docs = self.helper.insert_docs(self.num_items,
'spatial-doc',
return_docs=True)
self.ddocs = self.helper.create_default_views(
is_one_ddoc=self.all_view_one_ddoc)
def setUp(self):
try:
if 'first_case' not in TestInputSingleton.input.test_params:
TestInputSingleton.input.test_params['default_bucket'] = False
TestInputSingleton.input.test_params['skip_cleanup'] = True
self.default_bucket_name = 'default'
super(SpatialQueryErrorsTests, self).setUp()
if 'first_case' in TestInputSingleton.input.test_params:
self.cluster.rebalance(self.servers[:], self.servers[1:], [])
# We use only one bucket in this test suite
self.rest = RestConnection(self.master)
self.bucket = self.rest.get_bucket(
Bucket(name=self.default_bucket_name))
# num_docs must be a multiple of the number of vbuckets
self.num_docs = self.input.param("num_docs", 2000)
# `testname` is used for the design document name as wel as the
# spatial function name
self.testname = 'query-errors'
self.helper = SpatialHelper(self, "default")
if 'first_case' in TestInputSingleton.input.test_params:
self.create_ddoc()
self.helper.insert_docs(self.num_docs, self.testname)
except Exception as ex:
self.input.test_params["stop-on-failure"] = True
self.log.error("SETUP WAS FAILED. ALL TESTS WILL BE SKIPPED")
self.fail(ex)
class SpatialCompactionTests(BaseTestCase):
def setUp(self):
super(SpatialCompactionTests, self).setUp()
self.start_cluster = self.input.param('start-cluster', len(self.servers))
self.servers_in = self.input.param('servers_in', 0)
self.servers_out = self.input.param('servers_out', 0)
self.bucket_name = "default"
if self.standard_buckets:
self.bucket_name = "standard_bucket0"
if self.sasl_buckets:
self.bucket_name = "bucket0"
self.helper = SpatialHelper(self, self.bucket_name)
if self.start_cluster > 1:
rebalance = self.cluster.async_rebalance(self.servers[:1],
self.servers[1:start_cluster], [])
rebalance.result()
def tearDown(self):
super(SpatialCompactionTests, self).tearDown()
def test_spatial_compaction(self):
self.log.info(
"description : test manual compaction for spatial indexes")
prefix = str(uuid.uuid4())[:7]
design_name = "dev_test_spatial_compaction"
self.helper.create_index_fun(design_name, prefix)
# Insert (resp. update, as they have the same prefix) and query
# the spatial index several time so that the compaction makes sense
for i in range(0, 8):
self.helper.insert_docs(2000, prefix)
self.helper.get_results(design_name)
# Get the index size prior to compaction
status, info = self.helper.info(design_name)
disk_size = info["spatial_index"]["disk_size"]
if self.servers_in or self.servers_out:
servs_in = servs_out = []
if self.servers_in:
servs_in = self.servers[self.start_cluster:self.servers_in + 1]
if self.servers_out:
servs_out = self.servers[-self.servers_out:]
rebalance = self.cluster.async_rebalance(self.servers, servs_in, servs_out)
# Do the compaction
self.helper.compact(design_name)
# Check if the index size got smaller
status, info = self.helper.info(design_name)
self.assertTrue(info["spatial_index"]["disk_size"] < disk_size,
"The file size ({0}) isn't smaller than the "
"pre compaction size ({1})."
.format(info["spatial_index"]["disk_size"],
disk_size))
if self.servers_in or self.servers_out:
rebalance.result()
def setUp(self):
self.helper = SpatialHelper(self, "default")
super(SpatialQueryTests, self).setUp()
self.log = logger.Logger.get_logger()
self.helper.setup_cluster()
self.cluster = Cluster()
self.servers = self.helper.servers
def setUp(self):
try:
if 'first_case' not in TestInputSingleton.input.test_params:
TestInputSingleton.input.test_params['default_bucket'] = False
TestInputSingleton.input.test_params['skip_cleanup'] = True
TestInputSingleton.input.test_params['skip_buckets_handle'] = True
self.default_bucket_name = 'default'
super(SpatialQueryErrorsTests, self).setUp()
if 'first_case' in TestInputSingleton.input.test_params:
self.cluster.rebalance(self.servers[:], self.servers[1:], [])
# We use only one bucket in this test suite
self.rest = RestConnection(self.master)
self.bucket = self.rest.get_bucket(Bucket(name=self.default_bucket_name))
# num_docs must be a multiple of the number of vbuckets
self.num_docs = self.input.param("num_docs", 2000)
# `testname` is used for the design document name as wel as the
# spatial function name
self.testname = 'query-errors'
self.helper = SpatialHelper(self, "default")
if 'first_case' in TestInputSingleton.input.test_params:
self.create_ddoc()
self.helper.insert_docs(self.num_docs, self.testname)
except Exception as ex:
self.input.test_params["stop-on-failure"] = True
self.log.error("SETUP WAS FAILED. ALL TESTS WILL BE SKIPPED")
self.fail(ex)
def setUp(self):
super(SpatialViewsTests, self).setUp()
self.thread_crashed = Event()
self.thread_stopped = Event()
self.skip_rebalance = self.input.param("skip_rebalance", False)
self.use_dev_views = self.input.param("use-dev-views", False)
self.default_map = "function (doc) {emit(doc.geometry, doc.age);}"
self.map_updated = "function (doc) {emit(doc.geometry, doc.name);}"
self.default_ddoc_name = self.input.param("default_ddoc_name", "test-ddoc")
self.default_view_name = self.input.param("default_view_name", "test-view")
self.ddoc_op = self.input.param("ddoc-ops", "create") #create\update\delete
self.bucket_name = "default"
if self.standard_buckets:
self.bucket_name = "standard_bucket0"
if self.sasl_buckets:
self.bucket_name = "bucket0"
self.helper = SpatialHelper(self, self.bucket_name)
if not self.skip_rebalance:
self.cluster.rebalance(self.servers[:], self.servers[1:], [])
#load some items to verify
self.docs = self.helper.insert_docs(self.num_items, 'spatial-doc',
return_docs=True)
self.num_ddoc = self.input.param('num-ddoc', 1)
self.views_per_ddoc = self.input.param('views-per-ddoc', 1)
self.non_spatial_views_per_ddoc = self.input.param('non-spatial-views-per-ddoc', 0)
if self.ddoc_op == 'update' or self.ddoc_op == 'delete':
ddocs = self.make_ddocs(self.num_ddoc, self.views_per_ddoc,
self.non_spatial_views_per_ddoc)
self.create_ddocs(ddocs)
def setUp(self):
self.helper = SpatialHelper(self, "default")
super(SpatialQueryTests, self).setUp()
self.log = logger.Logger.get_logger()
self.helper.setup_cluster()
self.cluster = Cluster()
self.servers = self.helper.servers
def setUp(self):
super(SpatialCompactionTests, self).setUp()
self.start_cluster = self.input.param('start-cluster',
len(self.servers))
self.servers_in = self.input.param('servers_in', 0)
self.servers_out = self.input.param('servers_out', 0)
self.bucket_name = "default"
if self.standard_buckets:
self.bucket_name = "standard_bucket0"
self.helper = SpatialHelper(self, self.bucket_name)
try:
if self.start_cluster > 1:
rebalance = self.cluster.async_rebalance(
self.servers[:1], self.servers[1:self.start_cluster], [])
rebalance.result()
except:
super(SpatialCompactionTests, self).tearDown()
def setUp(self):
self.input = TestInputSingleton.input
self.servers = self.input.servers
self.master = self.servers[0]
self.log = logger.Logger.get_logger()
self.helper = SpatialHelper(self, "default")
self.helper.setup_cluster()
self.cluster = Cluster()
self.default_bucket = self.input.param("default_bucket", True)
self.sasl_buckets = self.input.param("sasl_buckets", 0)
self.standard_buckets = self.input.param("standard_buckets", 0)
self.memcached_buckets = self.input.param("memcached_buckets", 0)
self.servers = self.helper.servers
self.shell = RemoteMachineShellConnection(self.master)
info = self.shell.extract_remote_info()
self.os = info.type.lower()
self.couchbase_login_info = "%s:%s" % (
self.input.membase_settings.rest_username,
self.input.membase_settings.rest_password)
self.backup_location = self.input.param("backup_location",
"/tmp/backup")
self.command_options = self.input.param("command_options", '')
def setUp(self):
super(SpatialViewsTests, self).setUp()
self.skip_rebalance = self.input.param("skip_rebalance", False)
self.use_dev_views = self.input.param("use-dev-views", False)
self.default_map = "function (doc) {emit(doc.geometry, doc.age);}"
self.default_ddoc_name = self.input.param("default_ddoc_name",
"test-ddoc")
self.default_view_name = self.input.param("default_view_name",
"test-view")
self.bucket_name = "default"
if self.standard_buckets:
self.bucket_name = "standard_bucket0"
if self.sasl_buckets:
self.bucket_name = "bucket0"
self.helper = SpatialHelper(self, self.bucket_name)
if not self.skip_rebalance:
self.cluster.rebalance(self.servers[:], self.servers[1:], [])
#load some items to verify
self.docs = self.helper.insert_docs(self.num_items,
'spatial-doc',
wait_for_persistence=True,
return_docs=True)
def setUp(self):
super(SpatialCompactionTests, self).setUp()
self.start_cluster = self.input.param('start-cluster', len(self.servers))
self.servers_in = self.input.param('servers_in', 0)
self.servers_out = self.input.param('servers_out', 0)
self.bucket_name = "default"
if self.standard_buckets:
self.bucket_name = "standard_bucket0"
if self.sasl_buckets:
self.bucket_name = "bucket0"
self.helper = SpatialHelper(self, self.bucket_name)
if self.start_cluster > 1:
rebalance = self.cluster.async_rebalance(self.servers[:1],
self.servers[1:start_cluster], [])
rebalance.result()
class IBRSpatialTests(SpatialQueryTests):
def setUp(self):
self.input = TestInputSingleton.input
self.servers = self.input.servers
self.master = self.servers[0]
self.log = logger.Logger.get_logger()
self.helper = SpatialHelper(self, "default")
self.helper.setup_cluster()
self.cluster = Cluster()
self.default_bucket = self.input.param("default_bucket", True)
self.sasl_buckets = self.input.param("sasl_buckets", 0)
self.standard_buckets = self.input.param("standard_buckets", 0)
self.memcached_buckets = self.input.param("memcached_buckets", 0)
self.servers = self.helper.servers
self.shell = RemoteMachineShellConnection(self.master)
info = self.shell.extract_remote_info()
self.os = info.type.lower()
self.couchbase_login_info = "%s:%s" % (
self.input.membase_settings.rest_username,
self.input.membase_settings.rest_password)
self.backup_location = self.input.param("backup_location",
"/tmp/backup")
self.command_options = self.input.param("command_options", '')
def tearDown(self):
self.helper.cleanup_cluster()
def test_backup_with_spatial_data(self):
num_docs = self.helper.input.param("num-docs", 5000)
self.log.info("description : Make limit queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_limit_queries()
self._query_test_init(data_set)
if not self.command_options:
self.command_options = []
options = self.command_options + [' -m full']
self.total_backups = 1
self.shell.execute_cluster_backup(self.couchbase_login_info,
self.backup_location, options)
time.sleep(2)
self.buckets = RestConnection(self.master).get_buckets()
bucket_names = [bucket.name for bucket in self.buckets]
BucketOperationHelper.delete_all_buckets_or_assert(self.servers, self)
gc.collect()
self.helper._create_default_bucket()
self.shell.restore_backupFile(self.couchbase_login_info,
self.backup_location, bucket_names)
SimpleDataSet(self.helper, num_docs)._create_views()
self._query_test_init(data_set)
class IBRSpatialTests(SpatialQueryTests):
def setUp(self):
self.input = TestInputSingleton.input
self.servers = self.input.servers
self.master = self.servers[0]
self.log = logger.Logger.get_logger()
self.helper = SpatialHelper(self, "default")
self.helper.setup_cluster()
self.cluster = Cluster()
self.default_bucket = self.input.param("default_bucket", True)
self.sasl_buckets = self.input.param("sasl_buckets", 0)
self.standard_buckets = self.input.param("standard_buckets", 0)
self.memcached_buckets = self.input.param("memcached_buckets", 0)
self.servers = self.helper.servers
self.shell = RemoteMachineShellConnection(self.master)
info = self.shell.extract_remote_info()
self.os = info.type.lower()
self.couchbase_login_info = "%s:%s" % (self.input.membase_settings.rest_username,
self.input.membase_settings.rest_password)
self.backup_location = self.input.param("backup_location", "/tmp/backup")
self.command_options = self.input.param("command_options", '')
def tearDown(self):
self.helper.cleanup_cluster()
def test_backup_with_spatial_data(self):
num_docs = self.helper.input.param("num-docs", 5000)
self.log.info("description : Make limit queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_limit_queries()
self._query_test_init(data_set)
if not self.command_options:
self.command_options = []
options = self.command_options + [' -m full']
self.total_backups = 1
self.shell.execute_cluster_backup(self.couchbase_login_info, self.backup_location, options)
time.sleep(2)
self.buckets = RestConnection(self.master).get_buckets()
bucket_names = [bucket.name for bucket in self.buckets]
BucketOperationHelper.delete_all_buckets_or_assert(self.servers, self)
gc.collect()
self.helper._create_default_bucket()
self.shell.restore_backupFile(self.couchbase_login_info, self.backup_location, bucket_names)
SimpleDataSet(self.helper, num_docs)._create_views()
self._query_test_init(data_set)
def setUp(self):
super(SpatialViewsTests, self).setUp()
self.skip_rebalance = self.input.param("skip_rebalance", False)
self.use_dev_views = self.input.param("use-dev-views", False)
self.default_map = "function (doc) {emit(doc.geometry, doc.age);}"
self.default_ddoc_name = self.input.param("default_ddoc_name", "test-ddoc")
self.default_view_name = self.input.param("default_view_name", "test-view")
self.bucket_name = "default"
if self.standard_buckets:
self.bucket_name = "standard_bucket0"
if self.sasl_buckets:
self.bucket_name = "bucket0"
self.helper = SpatialHelper(self, self.bucket_name)
if not self.skip_rebalance:
self.cluster.rebalance(self.servers[:], self.servers[1:], [])
#load some items to verify
self.docs = self.helper.insert_docs(self.num_items, 'spatial-doc',
wait_for_persistence=True,
return_docs=True)
def setUp(self):
self.input = TestInputSingleton.input
self.servers = self.input.servers
self.master = self.servers[0]
self.log = logger.Logger.get_logger()
self.helper = SpatialHelper(self, "default")
self.helper.setup_cluster()
self.cluster = Cluster()
self.default_bucket = self.input.param("default_bucket", True)
self.sasl_buckets = self.input.param("sasl_buckets", 0)
self.standard_buckets = self.input.param("standard_buckets", 0)
self.memcached_buckets = self.input.param("memcached_buckets", 0)
self.servers = self.helper.servers
self.shell = RemoteMachineShellConnection(self.master)
info = self.shell.extract_remote_info()
self.os = info.type.lower()
self.couchbase_login_info = "%s:%s" % (self.input.membase_settings.rest_username,
self.input.membase_settings.rest_password)
self.backup_location = self.input.param("backup_location", "/tmp/backup")
self.command_options = self.input.param("command_options", '')
def setUp(self):
super(SpatialViewQueriesTests, self).setUp()
self.thread_crashed = Event()
self.thread_stopped = Event()
self.skip_rebalance = self.input.param("skip_rebalance", False)
self.use_dev_views = self.input.param("use-dev-views", False)
self.all_view_one_ddoc = self.input.param("all-view-one-ddoc", False)
self.default_ddoc_name = "test-ddoc-query"
self.default_view_name = "test-view-query"
self.params = self.get_query_params()
self.bucket_name = "default"
if self.standard_buckets:
self.bucket_name = "standard_bucket0"
if self.sasl_buckets:
self.bucket_name = "bucket0"
self.helper = SpatialHelper(self, self.bucket_name)
if not self.skip_rebalance:
self.cluster.rebalance(self.servers[:], self.servers[1:], [])
#load some items to verify
self.docs = self.helper.insert_docs(self.num_items, 'spatial-doc',
return_docs=True)
self.ddocs = self.helper.create_default_views(
is_one_ddoc=self.all_view_one_ddoc)
class SpatialViewQueriesTests(BaseTestCase):
def setUp(self):
super(SpatialViewQueriesTests, self).setUp()
self.thread_crashed = Event()
self.thread_stopped = Event()
self.skip_rebalance = self.input.param("skip_rebalance", False)
self.use_dev_views = self.input.param("use-dev-views", False)
self.all_view_one_ddoc = self.input.param("all-view-one-ddoc", False)
self.default_ddoc_name = "test-ddoc-query"
self.default_view_name = "test-view-query"
self.params = self.get_query_params()
self.bucket_name = "default"
if self.standard_buckets:
self.bucket_name = "standard_bucket0"
if self.sasl_buckets:
self.bucket_name = "bucket0"
self.helper = SpatialHelper(self, self.bucket_name)
if not self.skip_rebalance:
self.cluster.rebalance(self.servers[:], self.servers[1:], [])
#load some items to verify
self.docs = self.helper.insert_docs(self.num_items, 'spatial-doc',
return_docs=True)
self.ddocs = self.helper.create_default_views(
is_one_ddoc=self.all_view_one_ddoc)
def tearDown(self):
super(SpatialViewQueriesTests, self).tearDown()
def test_spatial_view_queries(self):
error = self.input.param('error', None)
try:
self.query_and_verify_result(self.docs, self.params)
except Exception as ex:
if error and str(ex).find(error) != -1:
self.log.info("Error caught as expected %s" % error)
return
else:
self.fail("Unexpected error appeared during run %s" % ex)
if error:
self.fail("Expected error '%s' didn't appear" % error)
def test_add_spatial_view_queries_threads(self):
diff_nodes = self.input.param("diff-nodes", False)
query_threads = []
for i in xrange(len(self.servers)):
node = (self.master, self.servers[i])[diff_nodes]
self.query_and_verify_result(self.docs, self.params, node=node)
q_thread = Thread(target=self.query_and_verify_result,
name="query_thread" + str(i),
args=([self.docs, self.params, node]))
query_threads.append(q_thread)
q_thread.start()
for q_thread in query_threads:
q_thread.join()
if self.thread_crashed.is_set():
self.fail("Error occured during run")
def test_view_queries_during_rebalance(self):
start_cluster = self.input.param('start-cluster', 1)
servers_in = self.input.param('servers_in', 0)
servers_out = self.input.param('servers_out', 0)
if start_cluster > 1:
rebalance = self.cluster.async_rebalance(self.servers[:1],
self.servers[1:start_cluster], [])
rebalance.result()
servs_in = []
servs_out = []
if servers_in:
servs_in = self.servers[start_cluster:servers_in + 1]
if servers_out:
if start_cluster > 1:
servs_out = self.servers[1:start_cluster]
servs_out = servs_out[-servers_out:]
else:
servs_out = self.servers[-servers_out:]
rebalance = self.cluster.async_rebalance(self.servers, servs_in, servs_out)
self.query_and_verify_result(self.docs, self.params)
rebalance.result()
def test_view_queries_node_pending_state(self):
operation = self.input.param('operation', 'add_node')
rest = RestConnection(self.master)
if operation == 'add_node':
self.log.info("adding the node %s:%s" % (
self.servers[1].ip, self.servers[1].port))
otpNode = rest.add_node(self.master.rest_username, self.master.rest_password,
self.servers[1].ip, self.servers[1].port)
elif operation == 'failover':
nodes = rest.node_statuses()
nodes = [node for node in nodes
if node.ip != self.master.ip or node.port != self.master.port]
rest.fail_over(nodes[0].id)
else:
self.fail("There is no operation %s" % operation)
self.query_and_verify_result(self.docs, self.params)
def test_view_queries_failover(self):
num_nodes = self.input.param('num-nodes', 1)
self.cluster.failover(self.servers,
self.servers[1:num_nodes])
self.cluster.rebalance(self.servers, [], self.servers[1:num_nodes])
self.query_and_verify_result(self.docs, self.params)
def test_views_with_warm_up(self):
warmup_node = self.servers[-1]
shell = RemoteMachineShellConnection(warmup_node)
shell.stop_couchbase()
time.sleep(20)
shell.start_couchbase()
shell.disconnect()
self.query_and_verify_result(self.docs, self.params)
def test_view_queries_during_ddoc_compaction(self):
fragmentation_value = self.input.param("fragmentation_value", 80)
self.disable_compaction()
fragmentation_monitor = self.cluster.async_monitor_view_fragmentation(self.master,
self.ddocs[0].name, fragmentation_value, self.default_bucket_name)
end_time = time.time() + self.wait_timeout * 30
while fragmentation_monitor.state != "FINISHED" and end_time > time.time():
self.docs = self.helper.insert_docs(self.num_items, 'spatial-doc',
return_docs=True)
if end_time < time.time() and fragmentation_monitor.state != "FINISHED":
self.fail("impossible to reach compaction value after %s sec" % (self.wait_timeout * 20))
fragmentation_monitor.result()
compaction_task = self.cluster.async_compact_view(self.master, self.ddocs[0].name,
self.default_bucket_name)
self.query_and_verify_result(self.docs, self.params)
result = compaction_task.result(self.wait_timeout * 10)
self.assertTrue(result, "Compaction didn't finished correctly. Please check diags")
def get_query_params(self):
current_params = {}
for key in self.input.test_params:
if key == 'skip' or key == 'limit':
current_params[key] = int(self.input.test_params[key])
elif key == 'bbox':
current_params[key] = [int(x) for x in
self.input.test_params[key][1:-1].split(",")]
elif key == 'stale':
current_params[key] = self.input.test_params[key]
return current_params
def query_and_verify_result(self, doc_inserted, params, node=None):
try:
rest = RestConnection(self.master)
if node:
rest = RestConnection(node)
expected_ddocs = self.helper.generate_matching_docs(doc_inserted, params)
for ddoc in self.ddocs:
for view in ddoc.spatial_views:
result_ddocs = self.helper.query_view(rest, ddoc, view,
bucket=self.bucket_name,
extra_params=params,
num_expected=len(expected_ddocs),
num_tries=20)
self.helper.verify_matching_keys(expected_ddocs, result_ddocs)
except Exception as ex:
self.thread_crashed.set()
self.log.error("****ERROR***** \n At least one of threads is crashed: %s" % (ex))
raise ex
finally:
if not self.thread_stopped.is_set():
self.thread_stopped.set()
class SpatialViewTests(unittest.TestCase):
def setUp(self):
self.log = logger.Logger.get_logger()
self.helper = SpatialHelper(self, "default")
self.helper.setup_cluster()
def tearDown(self):
self.helper.cleanup_cluster()
def test_create_multiple_development_spatial(self):
self.log.info("description : create multiple spatial views without "
"running any spatial view query")
rest = self.helper.rest
bucket = self.helper.bucket
prefix = str(uuid.uuid4())
name = "dev_test_spatial_multiple"
design_names = ["{0}-{1}-{2}".format(name, i, prefix) \
for i in range(0, 5)]
for design_name in design_names:
self.helper.create_index_fun(design_name)
response = rest.get_spatial(bucket, design_name)
self.assertTrue(response)
self.assertEquals(response["_id"],
"_design/{0}".format(design_name))
self.log.info(response)
def test_insert_x_docs(self):
num_docs = self.helper.input.param("num-docs", 100)
self.log.info("description : create a spatial view on {0} documents"\
.format(num_docs))
design_name = "dev_test_insert_{0}_docs".format(num_docs)
prefix = str(uuid.uuid4())[:7]
inserted_keys = self._setup_index(design_name, num_docs, prefix)
self.assertEqual(len(inserted_keys), num_docs)
# Does verify the full docs and not only the keys
def test_insert_x_docs_full_verification(self):
num_docs = self.helper.input.param("num-docs", 100)
self.log.info("description : create a spatial view with {0} docs"
" and verify the full documents".format(num_docs))
design_name = "dev_test_insert_{0}_docs_full_verification"\
.format(num_docs)
prefix = str(uuid.uuid4())[:7]
self.helper.create_index_fun(design_name)
inserted_docs = self.helper.insert_docs(num_docs, prefix,
return_docs=True)
self.helper.query_index_for_verification(design_name, inserted_docs,
full_docs=True)
def test_insert_x_delete_y_docs(self):
num_docs = self.helper.input.param("num-docs", 15000)
num_deleted_docs = self.helper.input.param("num-deleted-docs", 10000)
self.log.info("description : create spatial view with {0} docs "
" and delete {1} docs".format(num_docs,
num_deleted_docs))
design_name = "dev_test_insert_{0}_delete_{1}_docs"\
.format(num_docs, num_deleted_docs)
prefix = str(uuid.uuid4())[:7]
inserted_keys = self._setup_index(design_name, num_docs, prefix)
# Delete documents and very that the documents got deleted
deleted_keys = self.helper.delete_docs(num_deleted_docs, prefix)
results = self.helper.get_results(design_name, 2*num_docs)
result_keys = self.helper.get_keys(results)
self.assertEqual(len(result_keys), num_docs-len(deleted_keys))
self.helper.verify_result(inserted_keys, deleted_keys + result_keys)
def test_insert_x_update_y_docs(self):
num_docs = self.helper.input.param("num-docs", 15000)
num_updated_docs = self.helper.input.param("num-updated-docs", 100)
self.log.info("description : create spatial view with {0} docs "
" and update {1} docs".format(num_docs,
num_updated_docs))
design_name = "dev_test_insert_{0}_delete_{1}_docs"\
.format(num_docs, num_updated_docs)
prefix = str(uuid.uuid4())[:7]
self._setup_index(design_name, num_docs, prefix)
# Update documents and verify that the documents got updated
updated_keys = self.helper.insert_docs(num_updated_docs, prefix,
dict(updated=True))
results = self.helper.get_results(design_name, 2*num_docs)
result_updated_keys = self._get_updated_docs_keys(results)
self.assertEqual(len(updated_keys), len(result_updated_keys))
self.helper.verify_result(updated_keys, result_updated_keys)
def test_get_spatial_during_x_min_load_y_working_set(self):
num_docs = self.helper.input.param("num-docs", 10000)
duration = self.helper.input.param("load-time", 1)
self.log.info("description : this test will continuously insert data "
"and get the spatial view results for {0} minutes")
design_name = "dev_test_insert_and_get_spatial_{0}_mins"\
.format(duration)
prefix = str(uuid.uuid4())[:7]
self.helper.create_index_fun(design_name)
self.docs_inserted = []
self.shutdown_load_data = False
load_thread = Thread(
target=self._insert_data_till_stopped,
args=(num_docs, prefix))
load_thread.start()
self._get_results_for_x_minutes(design_name, duration)
self.shutdown_load_data = True
load_thread.join()
# self.docs_inserted was set by the insertion thread
# (_insert_data_till_stopped)
self.helper.query_index_for_verification(design_name,
self.docs_inserted)
# Create the index and insert documents including verififaction that
# the index contains them
# Returns the keys of the inserted documents
def _setup_index(self, design_name, num_docs, prefix):
self.helper.create_index_fun(design_name)
inserted_keys = self.helper.insert_docs(num_docs, prefix)
self.helper.query_index_for_verification(design_name, inserted_keys)
return inserted_keys
# Return the keys for all docs that contain a key called "updated"
# in the value
def _get_updated_docs_keys(self, results):
keys = []
if results:
rows = results["rows"]
for row in rows:
if "updated" in row["value"]:
keys.append(row["id"].encode("ascii", "ignore"))
self.log.info("{0} documents to updated".format(len(keys)))
return keys
def _get_results_for_x_minutes(self, design_name, duration, delay=5):
random.seed(0)
start = time.time()
while (time.time() - start) < duration * 60:
limit = random.randint(1, 1000)
self.log.info("{0} seconds has passed ....".format(
(time.time() - start)))
results = self.helper.get_results(design_name, limit)
keys = self.helper.get_keys(results)
self.log.info("spatial view returned {0} rows".format(len(keys)))
time.sleep(delay)
def _insert_data_till_stopped(self, num_docs, prefix):
while not self.shutdown_load_data:
# Will be read after the function is terminated
self.docs_inserted = self.helper.insert_docs(
num_docs, prefix, wait_for_persistence=False)
def test_x_docs_failover(self):
num_docs = self.helper.input.param("num-docs", 10000)
self.log.info("description : test failover with {0} documents"\
.format(num_docs))
design_name = "dev_test_failover_{0}".format(num_docs)
prefix = str(uuid.uuid4())[:7]
fh = FailoverHelper(self.helper.servers, self)
inserted_keys = self._setup_index(design_name, num_docs, prefix)
failover_nodes = fh.failover(1)
self.helper.query_index_for_verification(design_name, inserted_keys)
# The test cleanup expects all nodes running, hence spin the
# full cluster up again
fh.undo_failover(failover_nodes)
class SpatialViewsTests(BaseTestCase):
def setUp(self):
super(SpatialViewsTests, self).setUp()
self.thread_crashed = Event()
self.thread_stopped = Event()
self.skip_rebalance = self.input.param("skip_rebalance", False)
self.use_dev_views = self.input.param("use-dev-views", False)
self.default_map = "function (doc) {emit(doc.geometry, doc.age);}"
self.map_updated = "function (doc) {emit(doc.geometry, doc.name);}"
self.default_ddoc_name = self.input.param("default_ddoc_name", "test-ddoc")
self.default_view_name = self.input.param("default_view_name", "test-view")
self.ddoc_op = self.input.param("ddoc-ops", "create") #create\update\delete
self.bucket_name = "default"
if self.standard_buckets:
self.bucket_name = "standard_bucket0"
if self.sasl_buckets:
self.bucket_name = "bucket0"
self.helper = SpatialHelper(self, self.bucket_name)
if not self.skip_rebalance:
self.cluster.rebalance(self.servers[:], self.servers[1:], [])
#load some items to verify
self.docs = self.helper.insert_docs(self.num_items, 'spatial-doc',
return_docs=True)
self.num_ddoc = self.input.param('num-ddoc', 1)
self.views_per_ddoc = self.input.param('views-per-ddoc', 1)
self.non_spatial_views_per_ddoc = self.input.param('non-spatial-views-per-ddoc', 0)
if self.ddoc_op == 'update' or self.ddoc_op == 'delete':
ddocs = self.make_ddocs(self.num_ddoc, self.views_per_ddoc,
self.non_spatial_views_per_ddoc)
self.create_ddocs(ddocs)
def tearDown(self):
super(SpatialViewsTests, self).tearDown()
def test_add_spatial_views(self):
ddocs = self.make_ddocs(self.num_ddoc, self.views_per_ddoc, self.non_spatial_views_per_ddoc)
self.perform_ddoc_ops(ddocs)
def test_add_spatial_views_case_sensative(self):
ddoc = DesignDocument(self.default_ddoc_name, [], spatial_views=[
View(self.default_view_name, self.default_map,
dev_view=self.use_dev_views, is_spatial=True),
View(self.default_view_name.upper(), self.default_map,
dev_view=self.use_dev_views, is_spatial=True)])
self.create_ddocs([ddoc])
def test_add_single_spatial_view(self):
name_lenght = self.input.param('name_lenght', None)
view_name = self.input.param('view_name', self.default_view_name)
if name_lenght:
view_name = ''.join(random.choice(string.lowercase) for x in xrange(name_lenght))
not_compilable = self.input.param('not_compilable', False)
error = self.input.param('error', None)
map_fn = (self.default_map, 'function (doc) {emit(doc.geometry, doc.age);')[not_compilable]
ddoc = DesignDocument(self.default_ddoc_name, [], spatial_views=[
View(view_name, map_fn,
dev_view=self.use_dev_views, is_spatial=True)])
try:
self.create_ddocs([ddoc])
except Exception as ex:
if error and str(ex).find(error) != -1:
self.log.info("Error caught as expected %s" % error)
return
else:
self.fail("Unexpected error appeared during run %s" % ex)
if error:
self.fail("Expected error '%s' didn't appear" % error)
def test_add_views_to_1_ddoc(self):
same_names = self.input.param('same-name', False)
error = self.input.param('error', None)
num_views_per_ddoc = 10
create_threads = []
try:
for i in xrange(num_views_per_ddoc):
ddoc = DesignDocument(self.default_ddoc_name, [], spatial_views=[
View(self.default_view_name + (str(i), "")[same_names],
self.default_map,
dev_view=self.use_dev_views, is_spatial=True)])
create_thread = Thread(target=self.create_ddocs,
name="create_thread" + str(i),
args=([ddoc,],))
create_threads.append(create_thread)
create_thread.start()
for create_thread in create_threads:
create_thread.join()
except Exception as ex:
if error and str(ex).find(error) != -1:
self.log.info("Error caught as expected %s" % error)
return
else:
self.fail("Unexpected error appeared during run %s" % ex)
if error:
self.fail("Expected error '%s' didn't appear" % error)
def test_add_spatial_views_threads(self):
same_names = self.input.param('same-name', False)
num_views_per_ddoc = 10
create_threads = []
ddocs = []
for i in xrange(num_views_per_ddoc):
ddoc = DesignDocument(self.default_ddoc_name + str(i), [], spatial_views=[
View(self.default_view_name + (str(i), "")[same_names],
self.default_map,
dev_view=self.use_dev_views, is_spatial=True)])
ddocs.append(ddoc)
if self.ddoc_op == 'update' or self.ddoc_op == 'delete':
self.create_ddocs(ddocs)
i = 0
for ddoc in ddocs:
create_thread = Thread(target=self.perform_ddoc_ops,
name="ops_thread" + str(i),
args=([ddoc,],))
i +=1
create_threads.append(create_thread)
create_thread.start()
for create_thread in create_threads:
create_thread.join()
if self.thread_crashed.is_set():
self.fail("Error occured during run")
def test_create_with_other_ddoc_ops(self):
operation = self.input.param('operation', 'create')
ddocs = self.make_ddocs(self.num_ddoc, self.views_per_ddoc, 0)
other_ddocs = self.make_ddocs(self.num_ddoc, 0, self.views_per_ddoc)
if operation == 'delete' or operation == 'update':
self.create_ddocs(other_ddocs)
other_ddoc_threads = []
for ddoc in other_ddocs:
if operation == 'create' or operation == 'update':
other_ddoc_thread = Thread(target=self.create_ddocs,
name="other_doc_thread",
args=(other_ddocs,))
else:
other_ddoc_thread = Thread(target=self.delete_views,
name="other_doc_thread",
args=(other_ddocs,))
other_ddoc_threads.append(other_ddoc_thread)
other_ddoc_thread.start()
self.perform_ddoc_ops(ddocs)
for thread in other_ddoc_threads:
thread.join()
def test_create_views_during_rebalance(self):
start_cluster = self.input.param('start-cluster', 1)
servers_in = self.input.param('servers_in', 0)
servers_out = self.input.param('servers_out', 0)
ddocs = self.make_ddocs(self.num_ddoc, self.views_per_ddoc, self.non_spatial_views_per_ddoc)
if start_cluster > 1:
rebalance = self.cluster.async_rebalance(self.servers[:1],
self.servers[1:start_cluster], [])
rebalance.result()
servs_in = []
servs_out = []
if servers_in:
servs_in = self.servers[start_cluster:servers_in + 1]
if servers_out:
if start_cluster > 1:
servs_out = self.servers[1:start_cluster]
servs_out = servs_out[-servers_out:]
else:
servs_out = self.servers[-servers_out:]
rebalance_thread = Thread(target=self.cluster.rebalance,
name="reb_thread",
args=(self.servers[:1], servs_in, servs_out))
rebalance_thread.start()
self.perform_ddoc_ops(ddocs)
rebalance_thread.join()
def test_views_node_pending_state(self):
operation = self.input.param('operation', 'add_node')
ddocs = self.make_ddocs(self.num_ddoc, self.views_per_ddoc, 0)
rest = RestConnection(self.master)
if operation == 'add_node':
self.log.info("adding the node %s:%s" % (
self.servers[1].ip, self.servers[1].port))
otpNode = rest.add_node(self.master.rest_username, self.master.rest_password,
self.servers[1].ip, self.servers[1].port)
elif operation == 'failover':
nodes = rest.node_statuses()
nodes = [node for node in nodes
if node.ip != self.master.ip or node.port != self.master.port]
rest.fail_over(nodes[0].id)
else:
self.fail("There is no operation %s" % operation)
self.perform_ddoc_ops(ddocs)
def test_views_failover(self):
num_nodes = self.input.param('num-nodes', 1)
ddocs = self.make_ddocs(self.num_ddoc, self.views_per_ddoc, 0)
RebalanceHelper.wait_for_persistence(self.master, self.bucket_name)
self.cluster.failover(self.servers,
self.servers[1:num_nodes])
self.cluster.rebalance(self.servers, [], self.servers[1:num_nodes])
self.perform_ddoc_ops(ddocs)
def test_views_with_warm_up(self):
warmup_node = self.servers[-1]
shell = RemoteMachineShellConnection(warmup_node)
shell.stop_couchbase()
time.sleep(20)
shell.start_couchbase()
shell.disconnect()
ddocs = self.make_ddocs(self.num_ddoc, self.views_per_ddoc, 0)
self.perform_ddoc_ops(ddocs)
def test_views_during_index(self):
ddocs = self.make_ddocs(1, 1, 1)
self.create_ddocs(ddocs)
#run query stale=false to start index
rest = RestConnection(self.master)
for ddoc in ddocs:
for view in ddoc.spatial_views:
self.helper.query_view(rest, ddoc, view, bucket=self.bucket_name, extra_params={})
ddocs = self.make_ddocs(self.num_ddoc, self.views_per_ddoc, 1)
self.perform_ddoc_ops(ddocs)
def test_views_during_ddoc_compaction(self):
fragmentation_value = self.input.param("fragmentation_value", 80)
ddoc_to_compact = DesignDocument("ddoc_to_compact", [], spatial_views=[
View(self.default_view_name,
'function (doc) { emit(doc.age, doc.name);}',
dev_view=self.use_dev_views)])
ddocs = self.make_ddocs(self.num_ddoc, self.views_per_ddoc, 0)
self.disable_compaction()
self.create_ddocs([ddoc_to_compact,])
fragmentation_monitor = self.cluster.async_monitor_view_fragmentation(self.master,
ddoc_to_compact.name, fragmentation_value, self.default_bucket_name)
end_time = time.time() + self.wait_timeout * 30
while fragmentation_monitor.state != "FINISHED" and end_time > time.time():
self.helper.insert_docs(self.num_items, 'spatial-doc')
if end_time < time.time() and fragmentation_monitor.state != "FINISHED":
self.fail("impossible to reach compaction value after %s sec" % (self.wait_timeout * 20))
fragmentation_monitor.result()
compaction_task = self.cluster.async_compact_view(self.master, ddoc_to_compact.name,
self.default_bucket_name)
self.perform_ddoc_ops(ddocs)
result = compaction_task.result(self.wait_timeout * 10)
self.assertTrue(result, "Compaction didn't finished correctly. Please check diags")
def make_ddocs(self, ddocs_num, views_per_ddoc, non_spatial_views_per_ddoc):
ddocs = []
for i in xrange(ddocs_num):
views = []
for k in xrange(views_per_ddoc):
views.append(View(self.default_view_name + str(k), self.default_map,
dev_view=self.use_dev_views, is_spatial=True))
non_spatial_views = []
if non_spatial_views_per_ddoc:
for k in xrange(non_spatial_views_per_ddoc):
non_spatial_views.append(View(self.default_view_name + str(k), 'function (doc) { emit(null, doc);}',
dev_view=self.use_dev_views))
ddocs.append(DesignDocument(self.default_ddoc_name + str(i), non_spatial_views, spatial_views=views))
return ddocs
def create_ddocs(self, ddocs, bucket=None):
bucket_views = bucket or self.buckets[0]
for ddoc in ddocs:
if not (ddoc.views or ddoc.spatial_views):
self.cluster.create_view(self.master, ddoc.name, [], bucket=bucket_views)
for view in ddoc.views:
self.cluster.create_view(self.master, ddoc.name, view, bucket=bucket_views)
for view in ddoc.spatial_views:
self.cluster.create_view(self.master, ddoc.name, view, bucket=bucket_views)
def delete_views(self, ddocs, views=[], spatial_views=[], bucket=None):
bucket_views = bucket or self.buckets[0]
for ddoc in ddocs:
vs = views or ddoc.views
sp_vs = spatial_views or ddoc.spatial_views
for view in vs:
self.cluster.delete_view(self.master, ddoc.name, view, bucket=bucket_views)
for view in sp_vs:
self.cluster.delete_view(self.master, ddoc.name, view, bucket=bucket_views)
def perform_ddoc_ops(self, ddocs):
try:
if self.ddoc_op == 'update':
for ddoc in ddocs:
for view in ddoc.spatial_views:
view.map_func = self.map_updated
if self.ddoc_op == 'delete':
self.delete_views(ddocs)
else:
self.create_ddocs(ddocs)
except Exception as ex:
self.thread_crashed.set()
self.log.error("****ERROR***** \n At least one of threads is crashed: %s" % (ex))
raise ex
finally:
if not self.thread_stopped.is_set():
self.thread_stopped.set()
class SpatialInfoTests(unittest.TestCase):
def setUp(self):
self.log = logger.Logger.get_logger()
self.helper = SpatialHelper(self, "default")
self.helper.setup_cluster()
def tearDown(self):
self.helper.cleanup_cluster()
def test_spatial_info(self):
self.log.info("description : test info for spatial indexes")
rest = self.helper.rest
prefix = str(uuid.uuid4())[:7]
design_name = "dev_test_spatial_info"
self.helper.create_index_fun(design_name, prefix)
# Fill the database and add an index
self.helper.insert_docs(2000, prefix)
self.helper.get_results(design_name)
status, info = self.helper.info(design_name)
disk_size = info["spatial_index"]["disk_size"]
self.assertTrue(disk_size > 0)
self.assertEqual(info["name"], design_name)
num_vbuckets = len(rest.get_vbuckets(self.helper.bucket))
self.assertEqual(len(info["spatial_index"]["update_seq"]),
num_vbuckets)
self.assertEqual(len(info["spatial_index"]["purge_seq"]), num_vbuckets)
self.assertFalse(info["spatial_index"]["updater_running"])
self.assertFalse(info["spatial_index"]["waiting_clients"] > 0)
self.assertFalse(info["spatial_index"]["compact_running"])
# Insert a lot new documents, and return after starting to
# build up (not waiting until it's done) the index to test
# if the updater fields are set correctly
self.helper.insert_docs(50000, prefix)
self.helper.get_results(design_name,
extra_params={"stale": "update_after"})
# Somehow stale=update_after doesn't really return immediately,
# thus commenting this assertion out. There's no real reason
# to investigate, as the indexing changes heavily in the moment
# anyway
#self.assertTrue(info["spatial_index"]["updater_running"])
#self.assertTrue(info["spatial_index"]["waiting_commit"])
#self.assertTrue(info["spatial_index"]["waiting_clients"] > 0)
self.assertFalse(info["spatial_index"]["compact_running"])
# Request the index again, to make sure it is fully updated
self.helper.get_results(design_name)
status, info = self.helper.info(design_name)
self.assertFalse(info["spatial_index"]["updater_running"])
self.assertFalse(info["spatial_index"]["waiting_clients"] > 0)
self.assertFalse(info["spatial_index"]["compact_running"])
self.assertTrue(info["spatial_index"]["disk_size"] > disk_size)
class SpatialCompactionTests(unittest.TestCase):
def setUp(self):
self.log = logger.Logger.get_logger()
self.helper = SpatialHelper(self, "default")
self.helper.setup_cluster()
def tearDown(self):
self.helper.cleanup_cluster()
def test_spatial_compaction(self):
self.log.info(
"description : test manual compaction for spatial indexes")
prefix = str(uuid.uuid4())[:7]
design_name = "dev_test_spatial_compaction"
self.helper.create_index_fun(design_name, prefix)
# Insert (resp. update, as they have the same prefix) and query
# the spatial index several time so that the compaction makes sense
for i in range(0, 8):
self.helper.insert_docs(2000, prefix)
self.helper.get_results(design_name)
# Get the index size prior to compaction
status, info = self.helper.info(design_name)
disk_size = info["spatial_index"]["disk_size"]
# Do the compaction
self.helper.compact(design_name)
# Check if the index size got smaller
status, info = self.helper.info(design_name)
self.assertTrue(
info["spatial_index"]["disk_size"] < disk_size,
"The file size ({0}) isn't smaller than the "
"pre compaction size ({1}).".format(
info["spatial_index"]["disk_size"], disk_size))
class SpatialCompactionTests(unittest.TestCase):
def setUp(self):
self.log = logger.Logger.get_logger()
self.helper = SpatialHelper(self, "default")
self.helper.setup_cluster()
def tearDown(self):
self.helper.cleanup_cluster()
def test_spatial_compaction(self):
self.log.info(
"description : test manual compaction for spatial indexes")
rest = self.helper.rest
prefix = str(uuid.uuid4())[:7]
design_name = "dev_test_spatial_compaction"
self.helper.create_index_fun(design_name, prefix)
# Insert (resp. update, as they have the same prefix) and query
# the spatial index several time so that the compaction makes sense
for i in range(0, 8):
doc_names = self.helper.insert_docs(2000, prefix)
self.helper.get_results(design_name)
# Get the index size prior to compaction
status, info = self.helper.info(design_name)
disk_size = info["spatial_index"]["disk_size"]
# Do the compaction
self.helper.compact(design_name)
# Check if the index size got smaller
status, info = self.helper.info(design_name)
self.assertTrue(info["spatial_index"]["disk_size"] < disk_size,
"The file size ({0}) isn't smaller than the "
"pre compaction size ({1})."
.format(info["spatial_index"]["disk_size"],
disk_size))
class SpatialRebalanceTests(unittest.TestCase):
def setUp(self):
self.log = logger.Logger.get_logger()
self.helper = SpatialHelper(self, "default")
# Setup, but don't rebalance cluster
self.helper.setup_cluster(False)
def tearDown(self):
self.log.info("tear down test")
self.helper.cleanup_cluster()
def test_insert_x_delete_y_docs_create_cluster(self):
num_docs = self.helper.input.param("num-docs", 100000)
num_deleted_docs = self.helper.input.param("num-deleted-docs", 10000)
msg = "description : have a single node, insert {0} docs, "\
"delete {1} docs while creating a cluster and query it"
self.log.info(msg.format(num_docs, num_deleted_docs))
design_name = "dev_test_delete_10k_docs_create_cluster"
prefix = str(uuid.uuid4())[:7]
# Make sure we are fully de-clustered
ClusterOperationHelper.cleanup_cluster(self.helper.servers)
self.helper.create_index_fun(design_name, prefix)
inserted_keys = self.helper.insert_docs(num_docs, prefix)
# Start creating the cluster and rebalancing it without waiting until
# it's finished
ClusterOperationHelper.add_and_rebalance(self.helper.servers, False)
deleted_keys = self.helper.delete_docs(num_deleted_docs, prefix)
self._wait_for_rebalance()
# Verify that the docs got delete and are no longer part of the
# spatial view
results = self.helper.get_results(design_name, num_docs)
result_keys = self.helper.get_keys(results)
self.assertEqual(len(result_keys), num_docs - len(deleted_keys))
self.helper.verify_result(inserted_keys, deleted_keys + result_keys)
def test_insert_x_delete_y_docs_destroy_cluster(self):
num_docs = self.helper.input.param("num-docs", 100000)
num_deleted_docs = self.helper.input.param("num-deleted-docs", 10000)
msg = "description : have a cluster, insert {0} docs, delete "\
"{1} docs while destroying the cluster into a single node "\
"and query it"
self.log.info(msg.format(num_docs, num_deleted_docs))
design_name = "dev_test_delete_{0}_docs_destroy_cluster".format(
num_deleted_docs)
prefix = str(uuid.uuid4())[:7]
# Make sure we are fully clustered
ClusterOperationHelper.add_and_rebalance(self.helper.servers)
self.helper.create_index_fun(design_name, prefix)
inserted_keys = self.helper.insert_docs(num_docs, prefix)
# Start destroying the cluster and rebalancing it without waiting
# until it's finished
ClusterOperationHelper.cleanup_cluster(self.helper.servers,
False)
deleted_keys = self.helper.delete_docs(num_deleted_docs, prefix)
self._wait_for_rebalance()
# Verify that the docs got delete and are no longer part of the
# spatial view
results = self.helper.get_results(design_name, num_docs)
result_keys = self.helper.get_keys(results)
self.assertEqual(len(result_keys), num_docs - len(deleted_keys))
self.helper.verify_result(inserted_keys, deleted_keys + result_keys)
def test_insert_x_docs_during_rebalance(self):
num_docs = self.helper.input.param("num-docs", 100000)
msg = "description : have a single node, insert {0} docs, "\
"query it, add another node, start rebalancing, insert {0} "\
"docs, finish rebalancing, keep on adding nodes..."
self.log.info(msg.format(num_docs))
design_name = "dev_test_insert_{0}_docs_during_rebalance".format(
num_docs)
prefix = str(uuid.uuid4())[:7]
# Make sure we are fully de-clustered
ClusterOperationHelper.cleanup_cluster(self.helper.servers)
self.helper.create_index_fun(design_name)
inserted_keys = self.helper.insert_docs(num_docs, prefix)
# Add all servers to the master server one by one and start
# rebalacing
for server in self.helper.servers[1:]:
ClusterOperationHelper.add_and_rebalance(
[self.helper.master, server], False)
# Docs with the same prefix are overwritten and not newly created
prefix = str(uuid.uuid4())[:7]
inserted_keys.extend(self.helper.insert_docs(
num_docs, prefix, wait_for_persistence=False))
self._wait_for_rebalance()
# Make sure data is persisted
self.helper.wait_for_persistence()
# Verify that all documents got inserted
self.helper.query_index_for_verification(design_name, inserted_keys)
# Block until the rebalance is done
def _wait_for_rebalance(self):
self.assertTrue(self.helper.rest.monitorRebalance(),
"rebalance operation failed after adding nodes")
self.log.info("rebalance finished")
class SpatialQueryTests(unittest.TestCase):
def setUp(self):
self.log = logger.Logger.get_logger()
self.helper = SpatialHelper(self, "default")
self.helper.setup_cluster()
def tearDown(self):
self.helper.cleanup_cluster()
def test_simple_dataset_limit_queries(self):
num_docs = self.helper.input.param("num-docs", 1000)
self.log.info("description : Make limit queries on a simple " "dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_limit_queries()
self._query_test_init(data_set)
def test_simple_dataset_skip_queries(self):
num_docs = self.helper.input.param("num-docs", 1000)
self.log.info(
"description : Make skip (and limit) queries on a " "simple dataset with {0} docs".format(num_docs)
)
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_skip_queries()
self._query_test_init(data_set)
def test_simple_dataset_bbox_queries(self):
num_docs = self.helper.input.param("num-docs", 1000)
self.log.info("description : Make bounding box queries on a simple " "dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_bbox_queries()
self._query_test_init(data_set)
###
# load the data defined for this dataset.
# create views and query the data as it loads.
# verification is optional, and best practice is to
# set to False if you plan on running _query_all_views()
# later in the test case
###
def _query_test_init(self, data_set, verify_results=True):
views = data_set.views
# start loading data
t = Thread(target=data_set.load, name="load_data_set", args=())
t.start()
# run queries while loading data
while t.is_alive():
self._query_all_views(views, False)
time.sleep(5)
t.join()
# results will be verified if verify_results set
if verify_results:
self._query_all_views(views, verify_results)
else:
self._check_view_intergrity(views)
##
# run all queries for all views in parallel
##
def _query_all_views(self, views, verify_results=True):
query_threads = []
for view in views:
t = RunQueriesThread(view, verify_results)
query_threads.append(t)
t.start()
[t.join() for t in query_threads]
self._check_view_intergrity(query_threads)
##
# If an error occured loading or querying data for a view
# it is queued and checked here. Fail on the first one that
# occurs.
##
def _check_view_intergrity(self, thread_results):
for result in thread_results:
if result.test_results.errors:
self.fail(result.test_results.errors[0][1])
if result.test_results.failures:
self.fail(result.test_results.failures[0][1])
class SpatialViewTests(unittest.TestCase):
def setUp(self):
self.log = logger.Logger.get_logger()
self.helper = SpatialHelper(self, "default")
self.helper.setup_cluster()
def tearDown(self):
self.helper.cleanup_cluster()
def test_create_x_design_docs(self):
num_design_docs = self.helper.input.param("num-design-docs", 5)
self.log.info("description : create {0} spatial views without "
"running any spatial view query".format(num_design_docs))
prefix = str(uuid.uuid4())
fun = "function (doc) {emit(doc.geometry, doc);}"
self._insert_x_design_docs(num_design_docs, prefix, fun)
def test_update_x_design_docs(self):
num_design_docs = self.helper.input.param("num-design-docs", 5)
self.log.info("description : update {0} spatial views without "
"running any spatial view query".format(num_design_docs))
prefix = str(uuid.uuid4())
fun = "function (doc) {emit(doc.geometry, doc);}"
self._insert_x_design_docs(num_design_docs, prefix, fun)
# Update the design docs with a different function
fun = "function (doc) {emit(doc.geometry, null);}"
self._insert_x_design_docs(num_design_docs, prefix, fun)
def _insert_x_design_docs(self, num_design_docs, prefix, fun):
rest = self.helper.rest
bucket = self.helper.bucket
name = "dev_test_multiple_design_docs"
for i in range(0, num_design_docs):
design_name = "{0}-{1}-{2}".format(name, i, prefix)
self.helper.create_index_fun(design_name, prefix, fun)
# Verify that the function was really stored
response, meta = rest.get_spatial(bucket, design_name)
self.assertTrue(response)
self.assertEquals(meta["id"],
"_design/{0}".format(design_name))
self.assertEquals(
response["spatial"][design_name].encode("ascii",
"ignore"),
fun)
def test_insert_x_docs(self):
num_docs = self.helper.input.param("num-docs", 100)
self.log.info("description : create a spatial view on {0} documents"\
.format(num_docs))
design_name = "dev_test_insert_{0}_docs".format(num_docs)
self._insert_x_docs_and_query(num_docs, design_name)
# Does verify the full docs and not only the keys
def test_insert_x_docs_full_verification(self):
num_docs = self.helper.input.param("num-docs", 100)
self.log.info("description : create a spatial view with {0} docs"
" and verify the full documents".format(num_docs))
design_name = "dev_test_insert_{0}_docs_full_verification"\
.format(num_docs)
prefix = str(uuid.uuid4())[:7]
self.helper.create_index_fun(design_name, prefix)
inserted_docs = self.helper.insert_docs(num_docs, prefix,
return_docs=True)
self.helper.query_index_for_verification(design_name, inserted_docs,
full_docs=True)
def test_insert_x_delete_y_docs(self):
num_docs = self.helper.input.param("num-docs", 15000)
num_deleted_docs = self.helper.input.param("num-deleted-docs", 10000)
self.log.info("description : create spatial view with {0} docs "
" and delete {1} docs".format(num_docs,
num_deleted_docs))
design_name = "dev_test_insert_{0}_delete_{1}_docs"\
.format(num_docs, num_deleted_docs)
prefix = str(uuid.uuid4())[:7]
inserted_keys = self._setup_index(design_name, num_docs, prefix)
# Delete documents and verify that the documents got deleted
deleted_keys = self.helper.delete_docs(num_deleted_docs, prefix)
num_expected = num_docs - len(deleted_keys)
results = self.helper.get_results(design_name, 2 * num_docs,
num_expected=num_expected)
result_keys = self.helper.get_keys(results)
self.assertEqual(len(result_keys), num_expected)
self.helper.verify_result(inserted_keys, deleted_keys + result_keys)
def test_insert_x_update_y_docs(self):
num_docs = self.helper.input.param("num-docs", 15000)
num_updated_docs = self.helper.input.param("num-updated-docs", 100)
self.log.info("description : create spatial view with {0} docs "
" and update {1} docs".format(num_docs,
num_updated_docs))
design_name = "dev_test_insert_{0}_delete_{1}_docs"\
.format(num_docs, num_updated_docs)
prefix = str(uuid.uuid4())[:7]
self._setup_index(design_name, num_docs, prefix)
# Update documents and verify that the documents got updated
updated_keys = self.helper.insert_docs(num_updated_docs, prefix,
dict(updated=True))
results = self.helper.get_results(design_name, 2 * num_docs)
result_updated_keys = self._get_updated_docs_keys(results)
self.assertEqual(len(updated_keys), len(result_updated_keys))
self.helper.verify_result(updated_keys, result_updated_keys)
def test_get_spatial_during_x_min_load_y_working_set(self):
num_docs = self.helper.input.param("num-docs", 10000)
duration = self.helper.input.param("load-time", 1)
self.log.info("description : this test will continuously insert data "
"and get the spatial view results for {0} minutes")
design_name = "dev_test_insert_and_get_spatial_{0}_mins"\
.format(duration)
prefix = str(uuid.uuid4())[:7]
self._query_x_mins_during_loading(num_docs, duration, design_name,
prefix)
def _query_x_mins_during_loading(self, num_docs, duration, design_name, prefix):
self.helper.create_index_fun(design_name, prefix)
load_thread = InsertDataTillStopped(self.helper, num_docs, prefix)
load_thread.start()
self._get_results_for_x_minutes(design_name, duration)
load_thread.stop_insertion()
load_thread.join()
self.helper.query_index_for_verification(design_name,
load_thread.inserted())
def test_get_spatial_during_x_min_load_y_working_set_multiple_design_docs(
self):
num_docs = self.helper.input.param("num-docs", 10000)
num_design_docs = self.helper.input.param("num-design-docs", 10)
duration = self.helper.input.param("load-time", 1)
self.log.info("description : will create {0} docs per design doc and "
"{1} design docs that will be queried while the data "
"is loaded for {2} minutes"
.format(num_docs, num_design_docs, duration))
name = "dev_test_spatial_test_{0}_docs_{1}_design_docs_{2}_mins_load"\
.format(num_docs, num_design_docs, duration)
view_test_threads = []
for i in range(0, num_design_docs):
prefix = str(uuid.uuid4())[:7]
design_name = "{0}-{1}-{2}".format(name, i, prefix)
thread_result = []
t = Thread(
target=SpatialViewTests._test_multiple_design_docs_thread_wrapper,
name="Insert documents and query multiple design docs in parallel",
args=(self, num_docs, duration, design_name, prefix,
thread_result))
t.start()
view_test_threads.append((t, thread_result))
for (t, failures) in view_test_threads:
t.join()
for (t, failures) in view_test_threads:
if len(failures) > 0:
self.fail("view thread failed : {0}".format(failures[0]))
def _test_multiple_design_docs_thread_wrapper(self, num_docs, duration,
design_name, prefix,
failures):
try:
self._query_x_mins_during_loading(num_docs, duration, design_name,
prefix)
except Exception as ex:
failures.append(ex)
def test_spatial_view_on_x_docs_y_design_docs(self):
num_docs = self.helper.input.param("num-docs", 10000)
num_design_docs = self.helper.input.param("num-design-docs", 21)
self.log.info("description : will create {0} docs per design doc and "
"{1} design docs that will be queried")
name = "dev_test_spatial_test_{0}_docs_y_design_docs"\
.format(num_docs, num_design_docs)
prefix = str(uuid.uuid4())[:7]
design_names = ["{0}-{1}-{2}".format(name, i, prefix) \
for i in range(0, num_design_docs)]
view_test_threads = []
for design_name in design_names:
thread_result = []
t = Thread(
target=SpatialViewTests._test_spatial_view_thread_wrapper,
name="Insert documents and query in parallel",
args=(self, num_docs, design_name, thread_result))
t.start()
view_test_threads.append((t, thread_result))
for (t, failures) in view_test_threads:
t.join()
for (t, failures) in view_test_threads:
if len(failures) > 0:
self.fail("view thread failed : {0}".format(failures[0]))
def _test_spatial_view_thread_wrapper(self, num_docs, design_name,
failures):
try:
self._insert_x_docs_and_query(num_docs, design_name)
except Exception as ex:
failures.append(ex)
# Create the index and insert documents including verififaction that
# the index contains them
# Returns the keys of the inserted documents
def _setup_index(self, design_name, num_docs, prefix):
self.helper.create_index_fun(design_name, prefix)
inserted_keys = self.helper.insert_docs(num_docs, prefix)
self.helper.query_index_for_verification(design_name, inserted_keys)
return inserted_keys
# Return the keys for all docs that contain a key called "updated"
# in the value
def _get_updated_docs_keys(self, results):
keys = []
if results:
rows = results["rows"]
for row in rows:
if "updated" in row["value"]:
keys.append(row["id"].encode("ascii", "ignore"))
self.log.info("{0} documents to updated".format(len(keys)))
return keys
def _get_results_for_x_minutes(self, design_name, duration, delay=5):
random.seed(0)
start = time.time()
while (time.time() - start) < duration * 60:
limit = random.randint(1, 1000)
self.log.info("{0} seconds has passed ....".format(
(time.time() - start)))
results = self.helper.get_results(design_name, limit)
keys = self.helper.get_keys(results)
self.log.info("spatial view returned {0} rows".format(len(keys)))
time.sleep(delay)
def _insert_x_docs_and_query(self, num_docs, design_name):
prefix = str(uuid.uuid4())[:7]
inserted_keys = self._setup_index(design_name, num_docs, prefix)
self.assertEqual(len(inserted_keys), num_docs)
def test_x_docs_failover(self):
num_docs = self.helper.input.param("num-docs", 10000)
self.log.info("description : test failover with {0} documents"\
.format(num_docs))
design_name = "dev_test_failover_{0}".format(num_docs)
prefix = str(uuid.uuid4())[:7]
inserted_keys = self._setup_index(design_name, num_docs, prefix)
try:
fh = FailoverHelper(self.helper.servers, self)
failover_nodes = fh.failover(1)
self.helper.query_index_for_verification(design_name, inserted_keys,
wait_for_persistence=False)
# The test cleanup expects all nodes running, hence spin the
# full cluster up again
fh.undo_failover(failover_nodes)
finally:
fh._start_servers(failover_nodes)
def test_update_view_x_docs(self):
num_docs = self.helper.input.param("num-docs", 100)
self.log.info("description : create a spatial view on {0} documents "
"and update the view so that it returns only a subset"\
.format(num_docs))
design_name = "dev_test_update_view_{0}_docs".format(num_docs)
prefix = str(uuid.uuid4())[:7]
# Create an index that emits all documents
self.helper.create_index_fun(design_name, prefix)
keys_b = self.helper.insert_docs(num_docs / 3, prefix + "bbb")
keys_c = self.helper.insert_docs(num_docs - (num_docs / 3), prefix + "ccc")
self.helper.query_index_for_verification(design_name, keys_b + keys_c)
# Update index to only a subset of the documents
self.helper.create_index_fun(design_name, prefix + "ccc")
self.helper.query_index_for_verification(design_name, keys_c)
def test_compare_views_all_nodes_x_docs(self):
num_docs = self.helper.input.param("num-docs", 100)
self.log.info("description : creates view on {0} documents, queries "
"all nodes (not only the master node) and compares "
"if the results are all the same"\
.format(num_docs))
design_name = "dev_test_compare_views_{0}_docs".format(num_docs)
prefix = str(uuid.uuid4())[:7]
inserted_keys = self._setup_index(design_name, num_docs, prefix)
nodes = self.helper.rest.get_nodes()
params = {"connection_timeout": 60000, "full_set": True}
# Query every single node and verify
for n in nodes:
n_rest = RestConnection({
"ip": n.ip,
"port": n.port,
"username": self.helper.master.rest_username,
"password": self.helper.master.rest_password})
results = n_rest.spatial_results(self.helper.bucket, design_name,
params, None)
result_keys = self.helper.get_keys(results)
self.helper.verify_result(inserted_keys, result_keys)
def setUp(self):
self.helper = SpatialHelper(self, "default")
super(SpatialViewTests, self).setUp()
self.log = logger.Logger.get_logger()
self.helper.setup_cluster()
class SpatialQueryTests(unittest.TestCase):
def setUp(self):
self.log = logger.Logger.get_logger()
self.helper = SpatialHelper(self, "default")
self.helper.setup_cluster()
def tearDown(self):
self.helper.cleanup_cluster()
def test_simple_dataset_limit_queries(self):
num_docs = self.helper.input.param("num-docs", 1000)
self.log.info("description : Make limit queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_limit_queries()
self._query_test_init(data_set)
def test_simple_dataset_skip_queries(self):
num_docs = self.helper.input.param("num-docs", 1000)
self.log.info("description : Make skip (and limit) queries on a "
"simple dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_skip_queries()
self._query_test_init(data_set)
def test_simple_dataset_bbox_queries(self):
num_docs = self.helper.input.param("num-docs", 1000)
self.log.info("description : Make bounding box queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_bbox_queries()
self._query_test_init(data_set)
###
# load the data defined for this dataset.
# create views and query the data as it loads.
# verification is optional, and best practice is to
# set to False if you plan on running _query_all_views()
# later in the test case
###
def _query_test_init(self, data_set, verify_results = True):
views = data_set.views
# start loading data
t = Thread(target=data_set.load,
name="load_data_set",
args=())
t.start()
# run queries while loading data
while(t.is_alive()):
self._query_all_views(views, False)
time.sleep(5)
t.join()
# results will be verified if verify_results set
if verify_results:
self._query_all_views(views, verify_results)
else:
self._check_view_intergrity(views)
##
# run all queries for all views in parallel
##
def _query_all_views(self, views, verify_results = True):
query_threads = []
for view in views:
t = RunQueriesThread(view, verify_results)
query_threads.append(t)
t.start()
[t.join() for t in query_threads]
self._check_view_intergrity(query_threads)
##
# If an error occured loading or querying data for a view
# it is queued and checked here. Fail on the first one that
# occurs.
##
def _check_view_intergrity(self, thread_results):
for result in thread_results:
if result.test_results.errors:
self.fail(result.test_results.errors[0][1])
if result.test_results.failures:
self.fail(result.test_results.failures[0][1])
class SpatialRebalanceTests(unittest.TestCase):
def setUp(self):
self.log = logger.Logger.get_logger()
self.helper = SpatialHelper(self, "default")
# Setup, but don't rebalance cluster
self.helper.setup_cluster(False)
def tearDown(self):
self.log.info("tear down test")
self.helper.cleanup_cluster()
def test_insert_x_delete_y_docs_create_cluster(self):
num_docs = self.helper.input.param("num-docs", 100000)
num_deleted_docs = self.helper.input.param("num-deleted-docs", 10000)
msg = "description : have a single node, insert {0} docs, "\
"delete {1} docs while creating a cluster and query it"
self.log.info(msg.format(num_docs, num_deleted_docs))
design_name = "dev_test_delete_10k_docs_create_cluster"
prefix = str(uuid.uuid4())[:7]
# Make sure we are fully de-clustered
ClusterOperationHelper.remove_and_rebalance(self.helper.servers)
self.helper.create_index_fun(design_name, prefix)
inserted_keys = self.helper.insert_docs(num_docs, prefix)
# Start creating the cluster and rebalancing it without waiting until
# it's finished
ClusterOperationHelper.add_and_rebalance(self.helper.servers, False)
deleted_keys = self.helper.delete_docs(num_deleted_docs, prefix)
self._wait_for_rebalance()
# Verify that the docs got delete and are no longer part of the
# spatial view
results = self.helper.get_results(design_name, num_docs)
result_keys = self.helper.get_keys(results)
self.assertEqual(len(result_keys), num_docs - len(deleted_keys))
self.helper.verify_result(inserted_keys, deleted_keys + result_keys)
def test_insert_x_delete_y_docs_destroy_cluster(self):
num_docs = self.helper.input.param("num-docs", 100000)
num_deleted_docs = self.helper.input.param("num-deleted-docs", 10000)
msg = "description : have a cluster, insert {0} docs, delete "\
"{1} docs while destroying the cluster into a single node "\
"and query it"
self.log.info(msg.format(num_docs, num_deleted_docs))
design_name = "dev_test_delete_{0}_docs_destroy_cluster".format(
num_deleted_docs)
prefix = str(uuid.uuid4())[:7]
# Make sure we are fully clustered
ClusterOperationHelper.add_and_rebalance(self.helper.servers)
self.helper.create_index_fun(design_name, prefix)
inserted_keys = self.helper.insert_docs(num_docs, prefix)
# Start destroying the cluster and rebalancing it without waiting
# until it's finished
ClusterOperationHelper.remove_and_rebalance(self.helper.servers, False)
deleted_keys = self.helper.delete_docs(num_deleted_docs, prefix)
self._wait_for_rebalance()
# Verify that the docs got delete and are no longer part of the
# spatial view
results = self.helper.get_results(design_name, num_docs)
result_keys = self.helper.get_keys(results)
self.assertEqual(len(result_keys), num_docs - len(deleted_keys))
self.helper.verify_result(inserted_keys, deleted_keys + result_keys)
def test_insert_x_docs_during_rebalance(self):
num_docs = self.helper.input.param("num-docs", 100000)
msg = "description : have a single node, insert {0} docs, "\
"query it, add another node, start rebalancing, insert {0} "\
"docs, finish rebalancing, keep on adding nodes..."
self.log.info(msg.format(num_docs))
design_name = "dev_test_insert_{0}_docs_during_rebalance".format(
num_docs)
prefix = str(uuid.uuid4())[:7]
# Make sure we are fully de-clustered
ClusterOperationHelper.remove_and_rebalance(self.helper.servers)
self.helper.create_index_fun(design_name)
inserted_keys = self.helper.insert_docs(num_docs, prefix)
# Add all servers to the master server one by one and start
# rebalacing
for server in self.helper.servers[1:]:
ClusterOperationHelper.add_and_rebalance(
[self.helper.master, server], False)
# Docs with the same prefix are overwritten and not newly created
prefix = str(uuid.uuid4())[:7]
inserted_keys.extend(
self.helper.insert_docs(num_docs,
prefix,
wait_for_persistence=False))
self._wait_for_rebalance()
# Make sure data is persisted
self.helper.wait_for_persistence()
# Verify that all documents got inserted
self.helper.query_index_for_verification(design_name, inserted_keys)
# Block until the rebalance is done
def _wait_for_rebalance(self):
self.assertTrue(self.helper.rest.monitorRebalance(),
"rebalance operation failed after adding nodes")
self.log.info("rebalance finished")
class SpatialViewsTests(BaseTestCase):
def setUp(self):
super(SpatialViewsTests, self).setUp()
self.skip_rebalance = self.input.param("skip_rebalance", False)
self.use_dev_views = self.input.param("use-dev-views", False)
self.default_map = "function (doc) {emit(doc.geometry, doc.age);}"
self.default_ddoc_name = self.input.param("default_ddoc_name", "test-ddoc")
self.default_view_name = self.input.param("default_view_name", "test-view")
self.bucket_name = "default"
if self.standard_buckets:
self.bucket_name = "standard_bucket0"
if self.sasl_buckets:
self.bucket_name = "bucket0"
self.helper = SpatialHelper(self, self.bucket_name)
if not self.skip_rebalance:
self.cluster.rebalance(self.servers[:], self.servers[1:], [])
#load some items to verify
self.docs = self.helper.insert_docs(self.num_items, 'spatial-doc',
wait_for_persistence=True,
return_docs=True)
def tearDown(self):
super(SpatialViewsTests, self).tearDown()
def test_add_spatial_views(self):
num_ddoc = self.input.param('num-ddoc', 1)
views_per_ddoc = self.input.param('views-per-ddoc', 1)
non_spatial_views_per_ddoc = self.input.param('non-spatial-views-per-ddoc', 0)
ddocs = self.make_ddocs(num_ddoc, views_per_ddoc, non_spatial_views_per_ddoc)
self.create_ddocs(ddocs)
def test_add_spatial_views_case_sensative(self):
ddoc = DesignDocument(self.default_ddoc_name, [], spatial_views=[
View(self.default_view_name, self.default_map,
dev_view=self.use_dev_views, is_spatial=True),
View(self.default_view_name.upper(), self.default_map,
dev_view=self.use_dev_views, is_spatial=True)])
self.create_ddocs([ddoc])
def make_ddocs(self, ddocs_num, views_per_ddoc, non_spatial_views_per_ddoc):
ddocs = []
for i in xrange(ddocs_num):
views = []
for k in xrange(views_per_ddoc):
views.append(View(self.default_view_name + str(k), self.default_map,
dev_view=self.use_dev_views, is_spatial=True))
non_spatial_views = []
if non_spatial_views_per_ddoc:
for k in xrange(non_spatial_views_per_ddoc):
views.append(View(self.default_view_name + str(k), 'function (doc) { emit(null, doc);}',
dev_view=self.use_dev_views))
ddocs.append(DesignDocument(self.default_ddoc_name + str(i), non_spatial_views, spatial_views=views))
return ddocs
def create_ddocs(self, ddocs):
for ddoc in ddocs:
if not (ddoc.views or ddoc.spatial_views):
self.cluster.create_view(self.master, ddoc.name, [], bucket=self.bucket_name)
for view in ddoc.views:
self.cluster.create_view(self.master, ddoc.name, view, bucket=self.bucket_name)
for view in ddoc.spatial_views:
self.cluster.create_view(self.master, ddoc.name, view, bucket=self.bucket_name)
def setUp(self):
self.log = logger.Logger.get_logger()
self.helper = SpatialHelper(self, "default")
# Setup, but don't rebalance cluster
self.helper.setup_cluster(False)
class SpatialCompactionTests(BaseTestCase):
def setUp(self):
super(SpatialCompactionTests, self).setUp()
self.start_cluster = self.input.param('start-cluster', len(self.servers))
self.servers_in = self.input.param('servers_in', 0)
self.servers_out = self.input.param('servers_out', 0)
self.bucket_name = "default"
if self.standard_buckets:
self.bucket_name = "standard_bucket0"
if self.sasl_buckets:
self.bucket_name = "bucket0"
self.helper = SpatialHelper(self, self.bucket_name)
try:
if self.start_cluster > 1:
rebalance = self.cluster.async_rebalance(self.servers[:1],
self.servers[1:self.start_cluster], [])
rebalance.result()
except:
super(SpatialCompactionTests, self).tearDown()
def tearDown(self):
super(SpatialCompactionTests, self).tearDown()
def test_spatial_compaction(self):
self.log.info(
"description : test manual compaction for spatial indexes")
prefix = str(uuid.uuid4())[:7]
design_name = "dev_test_spatial_compaction"
self.helper.create_index_fun(design_name, prefix)
# Insert (resp. update, as they have the same prefix) and query
# the spatial index several time so that the compaction makes sense
for i in range(0, 8):
self.helper.insert_docs(2000, prefix)
self.helper.get_results(design_name)
# Get the index size prior to compaction
status, info = self.helper.info(design_name)
disk_size = info["spatial_index"]["disk_size"]
if self.servers_in or self.servers_out:
servs_in = servs_out = []
if self.servers_in:
servs_in = self.servers[self.start_cluster:self.servers_in + 1]
if self.servers_out:
servs_out = self.servers[-self.servers_out:]
rebalance = self.cluster.async_rebalance(self.servers, servs_in, servs_out)
# Do the compaction
self.helper.compact(design_name)
# Check if the index size got smaller
status, info = self.helper.info(design_name)
self.assertTrue(info["spatial_index"]["disk_size"] < disk_size,
"The file size ({0}) isn't smaller than the "
"pre compaction size ({1})."
.format(info["spatial_index"]["disk_size"],
disk_size))
if self.servers_in or self.servers_out:
rebalance.result()
def setUp(self):
self.log = logger.Logger.get_logger()
self.helper = SpatialHelper(self, "default")
# Setup, but don't rebalance cluster
self.helper.setup_cluster(False)
class SpatialViewsTests(BaseTestCase):
def setUp(self):
super(SpatialViewsTests, self).setUp()
self.thread_crashed = Event()
self.thread_stopped = Event()
self.skip_rebalance = self.input.param("skip_rebalance", False)
self.use_dev_views = self.input.param("use-dev-views", False)
self.default_map = "function (doc) {emit(doc.geometry, doc.age);}"
self.map_updated = "function (doc) {emit(doc.geometry, doc.name);}"
self.default_ddoc_name = self.input.param("default_ddoc_name",
"test-ddoc")
self.default_view_name = self.input.param("default_view_name",
"test-view")
self.ddoc_op = self.input.param("ddoc-ops",
"create") #create\update\delete
self.bucket_name = "default"
if self.standard_buckets:
self.bucket_name = "standard_bucket0"
if self.sasl_buckets:
self.bucket_name = "bucket0"
self.helper = SpatialHelper(self, self.bucket_name)
if not self.skip_rebalance:
self.cluster.rebalance(self.servers[:], self.servers[1:], [])
#load some items to verify
self.docs = self.helper.insert_docs(self.num_items,
'spatial-doc',
return_docs=True)
self.num_ddoc = self.input.param('num-ddoc', 1)
self.views_per_ddoc = self.input.param('views-per-ddoc', 1)
self.non_spatial_views_per_ddoc = self.input.param(
'non-spatial-views-per-ddoc', 0)
if self.ddoc_op == 'update' or self.ddoc_op == 'delete':
ddocs = self.make_ddocs(self.num_ddoc, self.views_per_ddoc,
self.non_spatial_views_per_ddoc)
self.create_ddocs(ddocs)
def suite_setUp(self):
pass
def tearDown(self):
super(SpatialViewsTests, self).tearDown()
def suite_tearDown(self):
pass
def test_add_spatial_views(self):
ddocs = self.make_ddocs(self.num_ddoc, self.views_per_ddoc,
self.non_spatial_views_per_ddoc)
self.perform_ddoc_ops(ddocs)
def test_add_spatial_views_case_sensative(self):
ddoc = DesignDocument(self.default_ddoc_name, [],
spatial_views=[
View(self.default_view_name,
self.default_map,
dev_view=self.use_dev_views,
is_spatial=True),
View(self.default_view_name.upper(),
self.default_map,
dev_view=self.use_dev_views,
is_spatial=True)
])
self.create_ddocs([ddoc])
def test_add_single_spatial_view(self):
name_lenght = self.input.param('name_lenght', None)
view_name = self.input.param('view_name', self.default_view_name)
if name_lenght:
view_name = ''.join(
random.choice(string.ascii_lowercase)
for x in range(name_lenght))
not_compilable = self.input.param('not_compilable', False)
error = self.input.param('error', None)
map_fn = (
self.default_map,
'function (doc) {emit(doc.geometry, doc.age);')[not_compilable]
ddoc = DesignDocument(self.default_ddoc_name, [],
spatial_views=[
View(view_name,
map_fn,
dev_view=self.use_dev_views,
is_spatial=True)
])
try:
self.create_ddocs([ddoc])
except Exception as ex:
if error and str(ex).find(error) != -1:
self.log.info("Error caught as expected %s" % error)
return
else:
self.fail("Unexpected error appeared during run %s" % ex)
if error:
self.fail("Expected error '%s' didn't appear" % error)
def test_add_views_to_1_ddoc(self):
same_names = self.input.param('same-name', False)
error = self.input.param('error', None)
num_views_per_ddoc = 10
create_threads = []
try:
for i in range(num_views_per_ddoc):
ddoc = DesignDocument(self.default_ddoc_name, [],
spatial_views=[
View(self.default_view_name +
(str(i), "")[same_names],
self.default_map,
dev_view=self.use_dev_views,
is_spatial=True)
])
create_thread = Thread(target=self.create_ddocs,
name="create_thread" + str(i),
args=([
ddoc,
], ))
create_threads.append(create_thread)
create_thread.start()
for create_thread in create_threads:
create_thread.join()
except Exception as ex:
if error and str(ex).find(error) != -1:
self.log.info("Error caught as expected %s" % error)
return
else:
self.fail("Unexpected error appeared during run %s" % ex)
if error:
self.fail("Expected error '%s' didn't appear" % error)
def test_add_spatial_views_threads(self):
same_names = self.input.param('same-name', False)
num_views_per_ddoc = 10
create_threads = []
ddocs = []
for i in range(num_views_per_ddoc):
ddoc = DesignDocument(self.default_ddoc_name + str(i), [],
spatial_views=[
View(self.default_view_name +
(str(i), "")[same_names],
self.default_map,
dev_view=self.use_dev_views,
is_spatial=True)
])
ddocs.append(ddoc)
if self.ddoc_op == 'update' or self.ddoc_op == 'delete':
self.create_ddocs(ddocs)
i = 0
for ddoc in ddocs:
create_thread = Thread(target=self.perform_ddoc_ops,
name="ops_thread" + str(i),
args=([
ddoc,
], ))
i += 1
create_threads.append(create_thread)
create_thread.start()
for create_thread in create_threads:
create_thread.join()
if self.thread_crashed.is_set():
self.fail("Error occured during run")
def test_create_with_other_ddoc_ops(self):
operation = self.input.param('operation', 'create')
ddocs = self.make_ddocs(self.num_ddoc, self.views_per_ddoc, 0)
other_ddocs = self.make_ddocs(self.num_ddoc, 0, self.views_per_ddoc)
if operation == 'delete' or operation == 'update':
self.create_ddocs(other_ddocs)
other_ddoc_threads = []
for ddoc in other_ddocs:
if operation == 'create' or operation == 'update':
other_ddoc_thread = Thread(target=self.create_ddocs,
name="other_doc_thread",
args=(other_ddocs, ))
else:
other_ddoc_thread = Thread(target=self.delete_views,
name="other_doc_thread",
args=(other_ddocs, ))
other_ddoc_threads.append(other_ddoc_thread)
other_ddoc_thread.start()
self.perform_ddoc_ops(ddocs)
for thread in other_ddoc_threads:
thread.join()
def test_create_views_during_rebalance(self):
start_cluster = self.input.param('start-cluster', 1)
servers_in = self.input.param('servers_in', 0)
servers_out = self.input.param('servers_out', 0)
ddocs = self.make_ddocs(self.num_ddoc, self.views_per_ddoc,
self.non_spatial_views_per_ddoc)
if start_cluster > 1:
rebalance = self.cluster.async_rebalance(
self.servers[:1], self.servers[1:start_cluster], [])
rebalance.result()
servs_in = []
servs_out = []
if servers_in:
servs_in = self.servers[start_cluster:servers_in + 1]
if servers_out:
if start_cluster > 1:
servs_out = self.servers[1:start_cluster]
servs_out = servs_out[-servers_out:]
else:
servs_out = self.servers[-servers_out:]
rebalance_thread = Thread(target=self.cluster.rebalance,
name="reb_thread",
args=(self.servers[:1], servs_in, servs_out))
rebalance_thread.start()
self.perform_ddoc_ops(ddocs)
rebalance_thread.join()
def test_views_node_pending_state(self):
operation = self.input.param('operation', 'add_node')
ddocs = self.make_ddocs(self.num_ddoc, self.views_per_ddoc, 0)
rest = RestConnection(self.master)
if operation == 'add_node':
self.log.info("adding the node %s:%s" %
(self.servers[1].ip, self.servers[1].port))
otpNode = rest.add_node(self.master.rest_username,
self.master.rest_password,
self.servers[1].ip, self.servers[1].port)
elif operation == 'failover':
nodes = rest.node_statuses()
nodes = [
node for node in nodes
if node.ip != self.master.ip or node.port != self.master.port
]
rest.fail_over(nodes[0].id)
else:
self.fail("There is no operation %s" % operation)
self.perform_ddoc_ops(ddocs)
def test_views_failover(self):
num_nodes = self.input.param('num-nodes', 1)
ddocs = self.make_ddocs(self.num_ddoc, self.views_per_ddoc, 0)
RebalanceHelper.wait_for_persistence(self.master, self.bucket_name)
self.cluster.failover(self.servers, self.servers[1:num_nodes])
self.cluster.rebalance(self.servers, [], self.servers[1:num_nodes])
self.perform_ddoc_ops(ddocs)
def test_views_with_warm_up(self):
warmup_node = self.servers[-1]
shell = RemoteMachineShellConnection(warmup_node)
shell.stop_couchbase()
time.sleep(20)
shell.start_couchbase()
shell.disconnect()
ddocs = self.make_ddocs(self.num_ddoc, self.views_per_ddoc, 0)
self.perform_ddoc_ops(ddocs)
def test_views_during_index(self):
ddocs = self.make_ddocs(1, 1, 1)
self.create_ddocs(ddocs)
#run query stale=false to start index
rest = RestConnection(self.master)
for ddoc in ddocs:
for view in ddoc.spatial_views:
self.helper.query_view(rest,
ddoc,
view,
bucket=self.bucket_name,
extra_params={})
ddocs = self.make_ddocs(self.num_ddoc, self.views_per_ddoc, 1)
self.perform_ddoc_ops(ddocs)
def test_views_during_ddoc_compaction(self):
fragmentation_value = self.input.param("fragmentation_value", 80)
ddoc_to_compact = DesignDocument(
"ddoc_to_compact", [],
spatial_views=[
View(self.default_view_name,
'function (doc) { emit(doc.age, doc.name);}',
dev_view=self.use_dev_views)
])
ddocs = self.make_ddocs(self.num_ddoc, self.views_per_ddoc, 0)
self.disable_compaction()
self.create_ddocs([
ddoc_to_compact,
])
fragmentation_monitor = self.cluster.async_monitor_view_fragmentation(
self.master, ddoc_to_compact.name, fragmentation_value,
self.default_bucket_name)
end_time = time.time() + self.wait_timeout * 30
while fragmentation_monitor.state != "FINISHED" and end_time > time.time(
):
self.helper.insert_docs(self.num_items, 'spatial-doc')
if end_time < time.time(
) and fragmentation_monitor.state != "FINISHED":
self.fail("impossible to reach compaction value after %s sec" %
(self.wait_timeout * 20))
fragmentation_monitor.result()
compaction_task = self.cluster.async_compact_view(
self.master, ddoc_to_compact.name, self.default_bucket_name)
self.perform_ddoc_ops(ddocs)
result = compaction_task.result(self.wait_timeout * 10)
self.assertTrue(
result, "Compaction didn't finished correctly. Please check diags")
def make_ddocs(self, ddocs_num, views_per_ddoc,
non_spatial_views_per_ddoc):
ddocs = []
for i in range(ddocs_num):
views = []
for k in range(views_per_ddoc):
views.append(
View(self.default_view_name + str(k),
self.default_map,
dev_view=self.use_dev_views,
is_spatial=True))
non_spatial_views = []
if non_spatial_views_per_ddoc:
for k in range(non_spatial_views_per_ddoc):
non_spatial_views.append(
View(self.default_view_name + str(k),
'function (doc) { emit(null, doc);}',
dev_view=self.use_dev_views))
ddocs.append(
DesignDocument(self.default_ddoc_name + str(i),
non_spatial_views,
spatial_views=views))
return ddocs
def create_ddocs(self, ddocs, bucket=None):
bucket_views = bucket or self.buckets[0]
for ddoc in ddocs:
if not (ddoc.views or ddoc.spatial_views):
self.cluster.create_view(self.master,
ddoc.name, [],
bucket=bucket_views)
for view in ddoc.views:
self.cluster.create_view(self.master,
ddoc.name,
view,
bucket=bucket_views)
for view in ddoc.spatial_views:
self.cluster.create_view(self.master,
ddoc.name,
view,
bucket=bucket_views)
def delete_views(self, ddocs, views=[], spatial_views=[], bucket=None):
bucket_views = bucket or self.buckets[0]
for ddoc in ddocs:
vs = views or ddoc.views
sp_vs = spatial_views or ddoc.spatial_views
for view in vs:
self.cluster.delete_view(self.master,
ddoc.name,
view,
bucket=bucket_views)
for view in sp_vs:
self.cluster.delete_view(self.master,
ddoc.name,
view,
bucket=bucket_views)
def perform_ddoc_ops(self, ddocs):
try:
if self.ddoc_op == 'update':
for ddoc in ddocs:
for view in ddoc.spatial_views:
view.map_func = self.map_updated
if self.ddoc_op == 'delete':
self.delete_views(ddocs)
else:
self.create_ddocs(ddocs)
except Exception as ex:
self.thread_crashed.set()
self.log.error(
"****ERROR***** \n At least one of threads is crashed: %s" %
(ex))
raise ex
finally:
if not self.thread_stopped.is_set():
self.thread_stopped.set()
class SpatialQueryErrorsTests(BaseTestCase):
def setUp(self):
try:
if 'first_case' not in TestInputSingleton.input.test_params:
TestInputSingleton.input.test_params['default_bucket'] = False
TestInputSingleton.input.test_params['skip_cleanup'] = True
TestInputSingleton.input.test_params['skip_buckets_handle'] = True
self.default_bucket_name = 'default'
super(SpatialQueryErrorsTests, self).setUp()
if 'first_case' in TestInputSingleton.input.test_params:
self.cluster.rebalance(self.servers[:], self.servers[1:], [])
# We use only one bucket in this test suite
self.rest = RestConnection(self.master)
self.bucket = self.rest.get_bucket(Bucket(name=self.default_bucket_name))
# num_docs must be a multiple of the number of vbuckets
self.num_docs = self.input.param("num_docs", 2000)
# `testname` is used for the design document name as wel as the
# spatial function name
self.testname = 'query-errors'
self.helper = SpatialHelper(self, "default")
if 'first_case' in TestInputSingleton.input.test_params:
self.create_ddoc()
self.helper.insert_docs(self.num_docs, self.testname)
except Exception as ex:
self.input.test_params["stop-on-failure"] = True
self.log.error("SETUP WAS FAILED. ALL TESTS WILL BE SKIPPED")
self.fail(ex)
def tearDown(self):
# clean up will only performed on the last run
if 'last_case' in TestInputSingleton.input.test_params:
TestInputSingleton.input.test_params['skip_cleanup'] = False
TestInputSingleton.input.test_params['skip_buckets_handle'] = False
super(SpatialQueryErrorsTests, self).tearDown()
else:
self.cluster.shutdown(force=True)
self._log_finish(self)
def test_query_errors(self):
all_params = ['skip', 'limit', 'stale', 'bbox', 'start_range',
'end_range']
query_params = {}
for key in self.input.test_params:
if key in all_params:
query_params[key] = str(self.input.test_params[key])
try:
self.spatial_query(query_params)
except QueryViewException as ex:
self.assertEquals(self.input.test_params['error'],
json.loads(ex.reason)['error'])
else:
self.fail("Query did not fail, but should have. "
"Query parameters were: {0}".format(query_params))
def create_ddoc(self):
view_fn = '''function (doc) {
if (doc.age !== undefined || doc.height !== undefined ||
doc.bloom !== undefined || doc.shed_leaves !== undefined) {
emit([doc.age, doc.height, [doc.bloom, doc.shed_leaves]], doc.name);
}}'''
self.helper.create_index_fun(self.testname, view_fn)
def spatial_query(self, params={}, ddoc='test'):
bucket = self.default_bucket_name
if not 'stale' in params:
params['stale'] = 'false'
return self.rest.query_view(self.testname, self.testname, bucket,
params, type="spatial")
class SpatialViewQueriesTests(BaseTestCase):
def setUp(self):
self.helper = SpatialHelper(self, self.bucket_name)
super(SpatialViewQueriesTests, self).setUp()
self.thread_crashed = Event()
self.thread_stopped = Event()
self.skip_rebalance = self.input.param("skip_rebalance", False)
self.use_dev_views = self.input.param("use-dev-views", False)
self.all_view_one_ddoc = self.input.param("all-view-one-ddoc", False)
self.default_ddoc_name = "test-ddoc-query"
self.default_view_name = "test-view-query"
self.params = self.get_query_params()
self.bucket_name = "default"
if self.standard_buckets:
self.bucket_name = "standard_bucket0"
if self.sasl_buckets:
self.bucket_name = "bucket0"
if not self.skip_rebalance:
self.cluster.rebalance(self.servers[:], self.servers[1:], [])
#load some items to verify
self.docs = self.helper.insert_docs(self.num_items,
'spatial-doc',
return_docs=True)
self.ddocs = self.helper.create_default_views(
is_one_ddoc=self.all_view_one_ddoc)
def suite_setUp(self):
pass
def tearDown(self):
super(SpatialViewQueriesTests, self).tearDown()
def suite_tearDown(self):
pass
def test_spatial_view_queries(self):
error = self.input.param('error', None)
try:
self.query_and_verify_result(self.docs, self.params)
except Exception as ex:
if error and str(ex).find(error) != -1:
self.log.info("Error caught as expected %s" % error)
return
else:
self.fail("Unexpected error appeared during run %s" % ex)
if error:
self.fail("Expected error '%s' didn't appear" % error)
def test_add_spatial_view_queries_threads(self):
diff_nodes = self.input.param("diff-nodes", False)
query_threads = []
for i in range(len(self.servers)):
node = (self.master, self.servers[i])[diff_nodes]
self.query_and_verify_result(self.docs, self.params, node=node)
q_thread = Thread(target=self.query_and_verify_result,
name="query_thread" + str(i),
args=([self.docs, self.params, node]))
query_threads.append(q_thread)
q_thread.start()
for q_thread in query_threads:
q_thread.join()
if self.thread_crashed.is_set():
self.fail("Error occured during run")
def test_view_queries_during_rebalance(self):
start_cluster = self.input.param('start-cluster', 1)
servers_in = self.input.param('servers_in', 0)
servers_out = self.input.param('servers_out', 0)
if start_cluster > 1:
rebalance = self.cluster.async_rebalance(
self.servers[:1], self.servers[1:start_cluster], [])
rebalance.result()
servs_in = []
servs_out = []
if servers_in:
servs_in = self.servers[start_cluster:servers_in + 1]
if servers_out:
if start_cluster > 1:
servs_out = self.servers[1:start_cluster]
servs_out = servs_out[-servers_out:]
else:
servs_out = self.servers[-servers_out:]
rebalance = self.cluster.async_rebalance(self.servers, servs_in,
servs_out)
self.query_and_verify_result(self.docs, self.params)
rebalance.result()
def test_view_queries_node_pending_state(self):
operation = self.input.param('operation', 'add_node')
rest = RestConnection(self.master)
if operation == 'add_node':
self.log.info("adding the node %s:%s" %
(self.servers[1].ip, self.servers[1].port))
otpNode = rest.add_node(self.master.rest_username,
self.master.rest_password,
self.servers[1].ip, self.servers[1].port)
elif operation == 'failover':
nodes = rest.node_statuses()
nodes = [
node for node in nodes
if node.ip != self.master.ip or node.port != self.master.port
]
rest.fail_over(nodes[0].id)
else:
self.fail("There is no operation %s" % operation)
self.query_and_verify_result(self.docs, self.params)
def test_view_queries_failover(self):
num_nodes = self.input.param('num-nodes', 1)
self.cluster.failover(self.servers, self.servers[1:num_nodes])
self.cluster.rebalance(self.servers, [], self.servers[1:num_nodes])
self.query_and_verify_result(self.docs, self.params)
def test_views_with_warm_up(self):
warmup_node = self.servers[-1]
shell = RemoteMachineShellConnection(warmup_node)
shell.stop_couchbase()
time.sleep(20)
shell.start_couchbase()
shell.disconnect()
self.query_and_verify_result(self.docs, self.params)
def test_view_queries_during_ddoc_compaction(self):
fragmentation_value = self.input.param("fragmentation_value", 80)
self.disable_compaction()
fragmentation_monitor = self.cluster.async_monitor_view_fragmentation(
self.master, self.ddocs[0].name, fragmentation_value,
self.default_bucket_name)
end_time = time.time() + self.wait_timeout * 30
while fragmentation_monitor.state != "FINISHED" and end_time > time.time(
):
self.docs = self.helper.insert_docs(self.num_items,
'spatial-doc',
return_docs=True)
if end_time < time.time(
) and fragmentation_monitor.state != "FINISHED":
self.fail("impossible to reach compaction value after %s sec" %
(self.wait_timeout * 20))
fragmentation_monitor.result()
compaction_task = self.cluster.async_compact_view(
self.master, self.ddocs[0].name, self.default_bucket_name)
self.query_and_verify_result(self.docs, self.params)
result = compaction_task.result(self.wait_timeout * 10)
self.assertTrue(
result, "Compaction didn't finished correctly. Please check diags")
def get_query_params(self):
current_params = {}
for key in self.input.test_params:
if key == 'skip' or key == 'limit':
current_params[key] = int(self.input.test_params[key])
elif key == 'bbox':
current_params[key] = [
int(x)
for x in self.input.test_params[key][1:-1].split(",")
]
elif key == 'stale':
current_params[key] = self.input.test_params[key]
return current_params
def query_and_verify_result(self, doc_inserted, params, node=None):
try:
rest = RestConnection(self.master)
if node:
rest = RestConnection(node)
expected_ddocs = self.helper.generate_matching_docs(
doc_inserted, params)
for ddoc in self.ddocs:
for view in ddoc.spatial_views:
result_ddocs = self.helper.query_view(
rest,
ddoc,
view,
bucket=self.bucket_name,
extra_params=params,
num_expected=len(expected_ddocs),
num_tries=20)
self.helper.verify_matching_keys(expected_ddocs,
result_ddocs)
except Exception as ex:
self.thread_crashed.set()
self.log.error(
"****ERROR***** \n At least one of threads is crashed: %s" %
(ex))
raise ex
finally:
if not self.thread_stopped.is_set():
self.thread_stopped.set()
class SpatialQueryTests(unittest.TestCase):
def setUp(self):
self.log = logger.Logger.get_logger()
self.helper = SpatialHelper(self, "default")
self.helper.setup_cluster()
self.cluster = Cluster()
self.servers = self.helper.servers
def tearDown(self):
self.helper.cleanup_cluster()
def test_simple_dataset_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Make limit queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_limit_queries()
self._query_test_init(data_set)
def test_simple_dataset_skip_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Make skip (and limit) queries on a "
"simple dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_skip_queries()
self._query_test_init(data_set)
def test_simple_dataset_bbox_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Make bounding box queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_bbox_queries()
self._query_test_init(data_set)
def test_simple_dataset_range_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Make range queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_range_queries()
self._query_test_init(data_set)
def test_multidim_dataset_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Make limit queries on a multidimensional "
"dataset with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_limit_queries()
self._query_test_init(data_set)
def test_multidim_dataset_skip_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Make skip (and limit) queries on a "
"multidimensional dataset with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_skip_queries()
self._query_test_init(data_set)
def test_multidim_dataset_range_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Make range queries on a "
"multidimensional with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_range_queries()
self._query_test_init(data_set)
def test_multidim_dataset_range_and_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Make range queries with limits on a "
"multidimensional with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_range_and_limit_queries()
self._query_test_init(data_set)
## Rebalance In
def test_rebalance_in_simple_dataset_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Rebalance In and limit queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_limit_queries()
self._rebalance_cluster(data_set)
def test_rebalance_in_simple_dataset_skip_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Rebalance In and skip (and limit) queries on a "
"simple dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_skip_queries()
self._rebalance_cluster(data_set)
def test_rebalance_in_simple_dataset_bbox_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Rebalance In and bounding box queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_bbox_queries()
self._rebalance_cluster(data_set)
def test_rebalance_in_simple_dataset_range_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Rebalance In and range queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_range_queries()
self._rebalance_cluster(data_set)
def test_rebalance_in_multidim_dataset_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Rebalance In and limit queries on a multidimensional "
"dataset with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_limit_queries()
self._rebalance_cluster(data_set)
def test_rebalance_in_multidim_dataset_skip_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Rebalance In and skip (and limit) queries on a "
"multidimensional dataset with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_skip_queries()
self._rebalance_cluster(data_set)
def test_rebalance_in_multidim_dataset_range_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Rebalance In and range queries on a "
"multidimensional with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_range_queries()
self._rebalance_cluster(data_set)
def test_rebalance_in_multidim_dataset_range_and_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Rebalance In and range queries with limits on a "
"multidimensional with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_range_and_limit_queries()
self._rebalance_cluster(data_set)
#Rebalance Out
def test_rebalance_out_simple_dataset_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Rebalance Out and limit queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_limit_queries()
self._rebalance_cluster(data_set)
def test_rebalance_out_simple_dataset_skip_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Rebalance Out and skip (and limit) queries on a "
"simple dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_skip_queries()
self._rebalance_cluster(data_set)
def test_rebalance_out_simple_dataset_bbox_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Rebalance Out and bounding box queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_bbox_queries()
self._rebalance_cluster(data_set)
def test_rebalance_out_simple_dataset_range_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Rebalance Out and range queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_range_queries()
self._rebalance_cluster(data_set)
def test_rebalance_out_multidim_dataset_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Rebalance Out and limit queries on a multidimensional "
"dataset with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_limit_queries()
self._rebalance_cluster(data_set)
def test_rebalance_out_multidim_dataset_skip_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Rebalance Out and skip (and limit) queries on a "
"multidimensional dataset with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_skip_queries()
self._rebalance_cluster(data_set)
def test_rebalance_out_multidim_dataset_range_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Rebalance Out and range queries on a "
"multidimensional with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_range_queries()
self._rebalance_cluster(data_set)
def test_rebalance_out_multidim_dataset_range_and_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Rebalance Out and range queries with limits on a "
"multidimensional with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_range_and_limit_queries()
self._rebalance_cluster(data_set)
# Warmup Tests
def test_warmup_simple_dataset_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Warmup with skip and limit queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_limit_queries()
self._query_test_init_integration(data_set)
def test_warmup_simple_dataset_skip_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Warmup with skip (and limit) queries on a "
"simple dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_skip_queries()
self._query_test_init_integration(data_set)
def test_warmup_simple_dataset_bbox_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Warmup with bounding box queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_bbox_queries()
self._query_test_init_integration(data_set)
def test_warmup_simple_dataset_range_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Warmup with range queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_range_queries()
self._query_test_init_integration(data_set)
def test_warmup_multidim_dataset_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Warmup with limit queries on a multidimensional "
"dataset with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_limit_queries()
self._query_test_init_integration(data_set)
def test_warmup_multidim_dataset_skip_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Warmup with skip (and limit) queries on a "
"multidimensional dataset with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_skip_queries()
self._query_test_init_integration(data_set)
def test_warmup_multidim_dataset_range_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Warmup with range queries on a "
"multidimensional with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_range_queries()
self._query_test_init_integration(data_set)
def test_warmup_multidim_dataset_range_and_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Warmup with range queries with limits on a "
"multidimensional with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_range_and_limit_queries()
self._query_test_init_integration(data_set)
# Reboot Tests
def test_reboot_simple_dataset_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Reboot and limit queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_limit_queries()
self._query_test_init_integration(data_set)
def test_reboot_simple_dataset_skip_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Reboot with skip (and limit) queries on a "
"simple dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_skip_queries()
self._query_test_init_integration(data_set)
def test_reboot_simple_dataset_bbox_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Reboot with bounding box queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_bbox_queries()
self._query_test_init_integration(data_set)
def test_reboot_simple_dataset_range_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Reboot with range queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_range_queries()
self._query_test_init_integration(data_set)
def test_reboot_multidim_dataset_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Reboot with limit queries on a multidimensional "
"dataset with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_limit_queries()
self._query_test_init_integration(data_set)
def test_reboot_multidim_dataset_skip_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Reboot with skip (and limit) queries on a "
"multidimensional dataset with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_skip_queries()
self._query_test_init_integration(data_set)
def test_reboot_multidim_dataset_range_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Reboot with range queries on a "
"multidimensional with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_range_queries()
self._query_test_init_integration(data_set)
def test_reboot_multidim_dataset_range_and_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Reboot with range queries with limits on a "
"multidimensional with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_range_and_limit_queries()
self._query_test_init_integration(data_set)
# Failover Tests
def test_failover_simple_dataset_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Failover and limit queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_limit_queries()
self._failover_cluster(data_set)
def test_failover_simple_dataset_skip_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Rebalance Out and skip (and limit) queries on a "
"simple dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_skip_queries()
self._failover_cluster(data_set)
def test_failover_simple_dataset_bbox_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Rebalance Out and bounding box queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_bbox_queries()
self._failover_cluster(data_set)
def test_failover_simple_dataset_range_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Rebalance Out and range queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_range_queries()
self._failover_cluster(data_set)
def test_failover_multidim_dataset_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Rebalance Out and limit queries on a multidimensional "
"dataset with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_limit_queries()
self._failover_cluster(data_set)
def test_failover_multidim_dataset_skip_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Rebalance Out and skip (and limit) queries on a "
"multidimensional dataset with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_skip_queries()
self._failover_cluster(data_set)
def test_failover_multidim_dataset_range_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Rebalance Out and range queries on a "
"multidimensional with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_range_queries()
self._failover_cluster(data_set)
def test_failover_multidim_dataset_range_and_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info(
"description : Rebalance Out and range queries with limits on a "
"multidimensional with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_range_and_limit_queries()
self._failover_cluster(data_set)
###
# load the data defined for this dataset.
# create views and query the data as it loads.
# verification is optional, and best practice is to
# set to False if you plan on running _query_all_views()
# later in the test case
###
def _query_test_init(self, data_set, verify_results=True):
views = data_set.views
# start loading data
t = Thread(target=data_set.load, name="load_data_set", args=())
t.start()
# run queries while loading data
while (t.is_alive()):
self._query_all_views(views, False)
time.sleep(5)
t.join()
# results will be verified if verify_results set
if verify_results:
self._query_all_views(views, verify_results)
else:
self._check_view_intergrity(views)
def _query_test_init_integration(self, data_set, verify_results=True):
views = data_set.views
inserted_keys = data_set.load()
target_fn = ()
if self.helper.num_nodes_reboot >= 1:
target_fn = self._reboot_cluster(data_set)
elif self.helper.num_nodes_warmup >= 1:
target_fn = self._warmup_cluster(data_set)
elif self.helper.num_nodes_to_add >= 1 or self.helper.num_nodes_to_remove >= 1:
target_fn = self._rebalance_cluster(data_set)
t = Thread(target=self._query_all_views(views, False))
t.start()
# run queries while loading data
while t.is_alive():
self._rebalance_cluster(data_set)
time.sleep(5)
t.join()
# results will be verified if verify_results set
if verify_results:
self._query_all_views(views, verify_results)
else:
self._check_view_intergrity(views)
##
# run all queries for all views in parallel
##
def _query_all_views(self, views, verify_results=True):
query_threads = []
for view in views:
t = RunQueriesThread(view, verify_results)
query_threads.append(t)
t.start()
[t.join() for t in query_threads]
self._check_view_intergrity(query_threads)
##
# If an error occured loading or querying data for a view
# it is queued and checked here. Fail on the first one that
# occurs.
##
def _check_view_intergrity(self, thread_results):
for result in thread_results:
if result.test_results.errors:
self.fail(result.test_results.errors[0][1])
if result.test_results.failures:
self.fail(result.test_results.failures[0][1])
###
# Rebalance
###
def _rebalance_cluster(self, data_set):
if self.helper.num_nodes_to_add >= 1:
rebalance = self.cluster.async_rebalance(
self.servers[:1],
self.servers[1:self.helper.num_nodes_to_add + 1], [])
self._query_test_init(data_set)
rebalance.result()
elif self.helper.num_nodes_to_remove >= 1:
rebalance = self.cluster.async_rebalance(
self.servers[:1], [],
self.servers[1:self.helper.num_nodes_to_add + 1])
self._query_test_init(data_set)
rebalance.result()
def _failover_cluster(self, data_set):
failover_nodes = self.servers[1:self.helper.failover_factor + 1]
try:
# failover and verify loaded data
#self.cluster.failover(self.servers, failover_nodes)
self.cluster.failover(self.servers, self.servers[1:2])
self.log.info(
"120 seconds sleep after failover before invoking rebalance..."
)
time.sleep(120)
rebalance = self.cluster.async_rebalance(self.servers, [],
self.servers[1:2])
self._query_test_init(data_set)
msg = "rebalance failed while removing failover nodes {0}".format(
failover_nodes)
self.assertTrue(rebalance.result(), msg=msg)
#verify queries after failover
self._query_test_init(data_set)
finally:
self.log.info(
"Completed the failover testing for spatial querying")
###
# Warmup
###
def _warmup_cluster(self, data_set):
for server in self.servers[0:self.helper.num_nodes_warmup]:
remote = RemoteMachineShellConnection(server)
remote.stop_server()
remote.start_server()
remote.disconnect()
self.log.info("Node {0} should be warming up ".format(server.ip))
time.sleep(120)
self._query_test_init(data_set)
# REBOOT
def _reboot_cluster(self, data_set):
try:
for server in self.servers[0:self.helper.num_nodes_reboot]:
shell = RemoteMachineShellConnection(server)
if shell.extract_remote_info().type.lower() == 'windows':
o, r = shell.execute_command("shutdown -r -f -t 0")
shell.log_command_output(o, r)
shell.disconnect()
self.log.info("Node {0} is being stopped".format(
server.ip))
elif shell.extract_remote_info().type.lower() == 'linux':
o, r = shell.execute_command("reboot")
shell.log_command_output(o, r)
shell.disconnect()
self.log.info("Node {0} is being stopped".format(
server.ip))
time.sleep(120)
shell = RemoteMachineShellConnection(server)
command = "/sbin/iptables -F"
o, r = shell.execute_command(command)
shell.log_command_output(o, r)
shell.disconnect()
self.log.info("Node {0} backup".format(server.ip))
finally:
self.log.info("Warming-up server ..".format(server.ip))
time.sleep(100)
class SpatialViewTests(BaseTestCase):
def setUp(self):
self.helper = SpatialHelper(self, "default")
super(SpatialViewTests, self).setUp()
self.log = logger.Logger.get_logger()
self.helper.setup_cluster()
def suite_setUp(self):
pass
def tearDown(self):
super(SpatialViewTests, self).tearDown()
def suite_tearDown(self):
pass
def test_create_x_design_docs(self):
num_design_docs = self.helper.input.param("num-design-docs")
self.log.info("description : create {0} spatial views without "
"running any spatial view query".format(num_design_docs))
fun = "function (doc) {emit(doc.geometry, doc);}"
self._insert_x_design_docs(num_design_docs, fun)
def test_update_x_design_docs(self):
num_design_docs = self.helper.input.param("num-design-docs")
self.log.info("description : update {0} spatial views without "
"running any spatial view query".format(num_design_docs))
fun = "function (doc) {emit(doc.geometry, doc);}"
self._insert_x_design_docs(num_design_docs, fun)
# Update the design docs with a different function
fun = "function (doc) {emit(doc.geometry, null);}"
self._insert_x_design_docs(num_design_docs, fun)
def _insert_x_design_docs(self, num_design_docs, fun):
rest = self.helper.rest
bucket = self.helper.bucket
name = "dev_test_multiple_design_docs"
for i in range(0, num_design_docs):
design_name = "{0}-{1}".format(name, i)
self.helper.create_index_fun(design_name, fun)
# Verify that the function was really stored
response, meta = rest.get_spatial(bucket, design_name)
self.assertTrue(response)
self.assertEqual(meta["id"], "_design/{0}".format(design_name))
self.assertEqual(response["spatial"][design_name], fun)
def test_insert_x_docs(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : create a spatial view on {0} documents"\
.format(num_docs))
design_name = "dev_test_insert_{0}_docs".format(num_docs)
self._insert_x_docs_and_query(num_docs, design_name)
# Does verify the full docs and not only the keys
def test_insert_x_docs_full_verification(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : create a spatial view with {0} docs"
" and verify the full documents".format(num_docs))
design_name = "dev_test_insert_{0}_docs_full_verification"\
.format(num_docs)
self.helper.create_index_fun(design_name)
inserted_docs = self.helper.insert_docs(num_docs, return_docs=True)
self.helper.query_index_for_verification(design_name,
inserted_docs,
full_docs=True)
def test_insert_x_delete_y_docs(self):
num_docs = self.helper.input.param("num-docs")
num_deleted_docs = self.helper.input.param("num-deleted-docs")
self.log.info("description : create spatial view with {0} docs "
" and delete {1} docs".format(num_docs,
num_deleted_docs))
design_name = "dev_test_insert_{0}_delete_{1}_docs"\
.format(num_docs, num_deleted_docs)
inserted_keys = self._setup_index(design_name, num_docs)
# Delete documents and verify that the documents got deleted
deleted_keys = self.helper.delete_docs(num_deleted_docs)
num_expected = num_docs - len(deleted_keys)
results = self.helper.get_results(design_name,
2 * num_docs,
num_expected=num_expected)
result_keys = self.helper.get_keys(results)
self.assertEqual(len(result_keys), num_expected)
self.helper.verify_result(inserted_keys, deleted_keys + result_keys)
def test_insert_x_update_y_docs(self):
num_docs = self.helper.input.param("num-docs")
num_updated_docs = self.helper.input.param("num-updated-docs")
self.log.info("description : create spatial view with {0} docs "
" and update {1} docs".format(num_docs,
num_updated_docs))
design_name = "dev_test_insert_{0}_delete_{1}_docs"\
.format(num_docs, num_updated_docs)
self._setup_index(design_name, num_docs)
# Update documents and verify that the documents got updated
updated_keys = self.helper.insert_docs(num_updated_docs,
extra_values=dict(updated=True))
results = self.helper.get_results(design_name, 2 * num_docs)
result_updated_keys = self._get_updated_docs_keys(results)
self.assertEqual(len(updated_keys), len(result_updated_keys))
self.helper.verify_result(updated_keys, result_updated_keys)
def test_get_spatial_during_x_min_load_y_working_set(self):
num_docs = self.helper.input.param("num-docs")
duration = self.helper.input.param("load-time")
self.log.info("description : this test will continuously insert data "
"and get the spatial view results for {0} minutes")
design_name = "dev_test_insert_and_get_spatial_{0}_mins"\
.format(duration)
self._query_x_mins_during_loading(num_docs, duration, design_name)
def _query_x_mins_during_loading(self, num_docs, duration, design_name):
self.helper.create_index_fun(design_name)
load_thread = InsertDataTillStopped(self.helper, num_docs)
load_thread.start()
self._get_results_for_x_minutes(design_name, duration)
load_thread.stop_insertion()
load_thread.join()
self.helper.query_index_for_verification(design_name,
load_thread.inserted())
def test_get_spatial_during_x_min_load_y_working_set_multiple_design_docs(
self):
num_docs = self.helper.input.param("num-docs")
num_design_docs = self.helper.input.param("num-design-docs")
duration = self.helper.input.param("load-time")
self.log.info("description : will create {0} docs per design doc and "
"{1} design docs that will be queried while the data "
"is loaded for {2} minutes".format(
num_docs, num_design_docs, duration))
name = "dev_test_spatial_test_{0}_docs_{1}_design_docs_{2}_mins_load"\
.format(num_docs, num_design_docs, duration)
view_test_threads = []
for i in range(0, num_design_docs):
design_name = "{0}-{1}".format(name, i)
thread_result = []
t = Thread(
target=SpatialViewTests.
_test_multiple_design_docs_thread_wrapper,
name=
"Insert documents and query multiple design docs in parallel",
args=(self, num_docs, duration, design_name, thread_result))
t.start()
view_test_threads.append((t, thread_result))
for (t, failures) in view_test_threads:
t.join()
for (t, failures) in view_test_threads:
if len(failures) > 0:
self.fail("view thread failed : {0}".format(failures[0]))
def _test_multiple_design_docs_thread_wrapper(self, num_docs, duration,
design_name, failures):
try:
self._query_x_mins_during_loading(num_docs, duration, design_name)
except Exception as ex:
failures.append(ex)
def test_spatial_view_on_x_docs_y_design_docs(self):
num_docs = self.helper.input.param("num-docs")
num_design_docs = self.helper.input.param("num-design-docs")
self.log.info("description : will create {0} docs per design doc and "
"{1} design docs that will be queried")
name = "dev_test_spatial_test_{0}_docs_y_design_docs"\
.format(num_docs, num_design_docs)
design_names = ["{0}-{1}".format(name, i) \
for i in range(0, num_design_docs)]
view_test_threads = []
for design_name in design_names:
thread_result = []
t = Thread(
target=SpatialViewTests._test_spatial_view_thread_wrapper,
name="Insert documents and query in parallel",
args=(self, num_docs, design_name, thread_result))
t.start()
view_test_threads.append((t, thread_result))
for (t, failures) in view_test_threads:
t.join()
for (t, failures) in view_test_threads:
if len(failures) > 0:
self.fail("view thread failed : {0}".format(failures[0]))
def _test_spatial_view_thread_wrapper(self, num_docs, design_name,
failures):
try:
self._insert_x_docs_and_query(num_docs, design_name)
except Exception as ex:
failures.append(ex)
# Create the index and insert documents including verififaction that
# the index contains them
# Returns the keys of the inserted documents
def _setup_index(self, design_name, num_docs):
self.helper.create_index_fun(design_name)
inserted_keys = self.helper.insert_docs(num_docs)
self.helper.query_index_for_verification(design_name, inserted_keys)
return inserted_keys
# Return the keys for all docs that contain a key called "updated"
# in the value
def _get_updated_docs_keys(self, results):
keys = []
if results:
rows = results["rows"]
for row in rows:
if "updated" in row["value"]:
keys.append(row["id"])
self.log.info("{0} documents to updated".format(len(keys)))
return keys
def _get_results_for_x_minutes(self, design_name, duration, delay=5):
random.seed(0)
start = time.time()
while (time.time() - start) < duration * 60:
limit = random.randint(1, 1000)
self.log.info("{0} seconds has passed ....".format(
(time.time() - start)))
results = self.helper.get_results(design_name, limit)
keys = self.helper.get_keys(results)
self.log.info("spatial view returned {0} rows".format(len(keys)))
time.sleep(delay)
def _insert_x_docs_and_query(self, num_docs, design_name):
inserted_keys = self._setup_index(design_name, num_docs)
self.assertEqual(len(inserted_keys), num_docs)
def test_update_view_x_docs(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : create a spatial view on {0} documents "
"and update the view so that it returns only a subset"\
.format(num_docs))
design_name = "dev_test_update_view_{0}_docs".format(num_docs)
# Create an index that emits all documents
self.helper.create_index_fun(design_name)
keys_b = self.helper.insert_docs(num_docs // 3, "bbb")
keys_c = self.helper.insert_docs(num_docs - (num_docs // 3), "ccc")
self.helper.query_index_for_verification(design_name, keys_b + keys_c)
# Update index to only a subset of the documents
spatial_fun = ('function (doc, meta) {'
'if(meta.id.indexOf("ccc") != -1) {'
'emit(doc.geometry, doc);}}')
self.helper.create_index_fun(design_name, spatial_fun)
self.helper.query_index_for_verification(design_name, keys_c)
def test_compare_views_all_nodes_x_docs(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : creates view on {0} documents, queries "
"all nodes (not only the master node) and compares "
"if the results are all the same"\
.format(num_docs))
design_name = "dev_test_compare_views_{0}_docs".format(num_docs)
inserted_keys = self._setup_index(design_name, num_docs)
nodes = self.helper.rest.get_nodes()
params = {"connection_timeout": 60000, "full_set": True}
# Query every single node and verify
for n in nodes:
n_rest = RestConnection({
"ip":
n.ip,
"port":
n.port,
"username":
self.helper.master.rest_username,
"password":
self.helper.master.rest_password
})
results = n_rest.spatial_results(self.helper.bucket, design_name,
params, None)
result_keys = self.helper.get_keys(results)
self.helper.verify_result(inserted_keys, result_keys)
class SpatialQueryTests(unittest.TestCase):
def setUp(self):
self.log = logger.Logger.get_logger()
self.helper = SpatialHelper(self, "default")
self.helper.setup_cluster()
self.cluster = Cluster()
self.servers = self.helper.servers
def tearDown(self):
self.helper.cleanup_cluster()
def test_simple_dataset_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Make limit queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_limit_queries()
self._query_test_init(data_set)
def test_simple_dataset_skip_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Make skip (and limit) queries on a "
"simple dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_skip_queries()
self._query_test_init(data_set)
def test_simple_dataset_bbox_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Make bounding box queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_bbox_queries()
self._query_test_init(data_set)
def test_simple_dataset_range_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Make range queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_range_queries()
self._query_test_init(data_set)
def test_multidim_dataset_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Make limit queries on a multidimensional "
"dataset with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_limit_queries()
self._query_test_init(data_set)
def test_multidim_dataset_skip_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Make skip (and limit) queries on a "
"multidimensional dataset with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_skip_queries()
self._query_test_init(data_set)
def test_multidim_dataset_range_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Make range queries on a "
"multidimensional with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_range_queries()
self._query_test_init(data_set)
def test_multidim_dataset_range_and_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Make range queries with limits on a "
"multidimensional with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_range_and_limit_queries()
self._query_test_init(data_set)
## Rebalance In
def test_rebalance_in_simple_dataset_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Rebalance In and limit queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_limit_queries()
self._rebalance_cluster(data_set)
def test_rebalance_in_simple_dataset_skip_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Rebalance In and skip (and limit) queries on a "
"simple dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_skip_queries()
self._rebalance_cluster(data_set)
def test_rebalance_in_simple_dataset_bbox_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Rebalance In and bounding box queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_bbox_queries()
self._rebalance_cluster(data_set)
def test_rebalance_in_simple_dataset_range_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Rebalance In and range queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_range_queries()
self._rebalance_cluster(data_set)
def test_rebalance_in_multidim_dataset_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Rebalance In and limit queries on a multidimensional "
"dataset with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_limit_queries()
self._rebalance_cluster(data_set)
def test_rebalance_in_multidim_dataset_skip_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Rebalance In and skip (and limit) queries on a "
"multidimensional dataset with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_skip_queries()
self._rebalance_cluster(data_set)
def test_rebalance_in_multidim_dataset_range_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Rebalance In and range queries on a "
"multidimensional with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_range_queries()
self._rebalance_cluster(data_set)
def test_rebalance_in_multidim_dataset_range_and_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Rebalance In and range queries with limits on a "
"multidimensional with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_range_and_limit_queries()
self._rebalance_cluster(data_set)
#Rebalance Out
def test_rebalance_out_simple_dataset_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Rebalance Out and limit queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_limit_queries()
self._rebalance_cluster(data_set)
def test_rebalance_out_simple_dataset_skip_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Rebalance Out and skip (and limit) queries on a "
"simple dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_skip_queries()
self._rebalance_cluster(data_set)
def test_rebalance_out_simple_dataset_bbox_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Rebalance Out and bounding box queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_bbox_queries()
self._rebalance_cluster(data_set)
def test_rebalance_out_simple_dataset_range_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Rebalance Out and range queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_range_queries()
self._rebalance_cluster(data_set)
def test_rebalance_out_multidim_dataset_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Rebalance Out and limit queries on a multidimensional "
"dataset with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_limit_queries()
self._rebalance_cluster(data_set)
def test_rebalance_out_multidim_dataset_skip_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Rebalance Out and skip (and limit) queries on a "
"multidimensional dataset with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_skip_queries()
self._rebalance_cluster(data_set)
def test_rebalance_out_multidim_dataset_range_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Rebalance Out and range queries on a "
"multidimensional with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_range_queries()
self._rebalance_cluster(data_set)
def test_rebalance_out_multidim_dataset_range_and_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Rebalance Out and range queries with limits on a "
"multidimensional with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_range_and_limit_queries()
self._rebalance_cluster(data_set)
# Warmup Tests
def test_warmup_simple_dataset_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Warmup with skip and limit queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_limit_queries()
self._query_test_init_integration(data_set)
def test_warmup_simple_dataset_skip_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Warmup with skip (and limit) queries on a "
"simple dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_skip_queries()
self._query_test_init_integration(data_set)
def test_warmup_simple_dataset_bbox_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Warmup with bounding box queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_bbox_queries()
self._query_test_init_integration(data_set)
def test_warmup_simple_dataset_range_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Warmup with range queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_range_queries()
self._query_test_init_integration(data_set)
def test_warmup_multidim_dataset_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Warmup with limit queries on a multidimensional "
"dataset with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_limit_queries()
self._query_test_init_integration(data_set)
def test_warmup_multidim_dataset_skip_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Warmup with skip (and limit) queries on a "
"multidimensional dataset with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_skip_queries()
self._query_test_init_integration(data_set)
def test_warmup_multidim_dataset_range_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Warmup with range queries on a "
"multidimensional with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_range_queries()
self._query_test_init_integration(data_set)
def test_warmup_multidim_dataset_range_and_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Warmup with range queries with limits on a "
"multidimensional with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_range_and_limit_queries()
self._query_test_init_integration(data_set)
# Reboot Tests
def test_reboot_simple_dataset_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Reboot and limit queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_limit_queries()
self._query_test_init_integration(data_set)
def test_reboot_simple_dataset_skip_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Reboot with skip (and limit) queries on a "
"simple dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_skip_queries()
self._query_test_init_integration(data_set)
def test_reboot_simple_dataset_bbox_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Reboot with bounding box queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_bbox_queries()
self._query_test_init_integration(data_set)
def test_reboot_simple_dataset_range_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Reboot with range queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_range_queries()
self._query_test_init_integration(data_set)
def test_reboot_multidim_dataset_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Reboot with limit queries on a multidimensional "
"dataset with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_limit_queries()
self._query_test_init_integration(data_set)
def test_reboot_multidim_dataset_skip_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Reboot with skip (and limit) queries on a "
"multidimensional dataset with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_skip_queries()
self._query_test_init_integration(data_set)
def test_reboot_multidim_dataset_range_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Reboot with range queries on a "
"multidimensional with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_range_queries()
self._query_test_init_integration(data_set)
def test_reboot_multidim_dataset_range_and_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Reboot with range queries with limits on a "
"multidimensional with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_range_and_limit_queries()
self._query_test_init_integration(data_set)
# Failover Tests
def test_failover_simple_dataset_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Failover and limit queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_limit_queries()
self._failover_cluster(data_set)
def test_failover_simple_dataset_skip_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Rebalance Out and skip (and limit) queries on a "
"simple dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_skip_queries()
self._failover_cluster(data_set)
def test_failover_simple_dataset_bbox_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Rebalance Out and bounding box queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_bbox_queries()
self._failover_cluster(data_set)
def test_failover_simple_dataset_range_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Rebalance Out and range queries on a simple "
"dataset with {0} docs".format(num_docs))
data_set = SimpleDataSet(self.helper, num_docs)
data_set.add_range_queries()
self._failover_cluster(data_set)
def test_failover_multidim_dataset_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Rebalance Out and limit queries on a multidimensional "
"dataset with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_limit_queries()
self._failover_cluster(data_set)
def test_failover_multidim_dataset_skip_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Rebalance Out and skip (and limit) queries on a "
"multidimensional dataset with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_skip_queries()
self._failover_cluster(data_set)
def test_failover_multidim_dataset_range_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Rebalance Out and range queries on a "
"multidimensional with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_range_queries()
self._failover_cluster(data_set)
def test_failover_multidim_dataset_range_and_limit_queries(self):
num_docs = self.helper.input.param("num-docs")
self.log.info("description : Rebalance Out and range queries with limits on a "
"multidimensional with {0} docs".format(num_docs))
data_set = MultidimDataSet(self.helper, num_docs)
data_set.add_range_and_limit_queries()
self._failover_cluster(data_set)
###
# load the data defined for this dataset.
# create views and query the data as it loads.
# verification is optional, and best practice is to
# set to False if you plan on running _query_all_views()
# later in the test case
###
def _query_test_init(self, data_set, verify_results = True):
views = data_set.views
# start loading data
t = Thread(target=data_set.load,
name="load_data_set",
args=())
t.start()
# run queries while loading data
while(t.is_alive()):
self._query_all_views(views, False)
time.sleep(5)
t.join()
# results will be verified if verify_results set
if verify_results:
self._query_all_views(views, verify_results)
else:
self._check_view_intergrity(views)
def _query_test_init_integration(self, data_set, verify_results = True):
views = data_set.views
inserted_keys = data_set.load()
target_fn = ()
if self.helper.num_nodes_reboot >= 1:
target_fn = self._reboot_cluster(data_set)
elif self.helper.num_nodes_warmup >= 1:
target_fn = self._warmup_cluster(data_set)
elif self.helper.num_nodes_to_add >= 1 or self.helper.num_nodes_to_remove >= 1:
target_fn = self._rebalance_cluster(data_set)
t = Thread(target=self._query_all_views(views, False))
t.start()
# run queries while loading data
while t.is_alive():
self._rebalance_cluster(data_set)
time.sleep(5)
t.join()
# results will be verified if verify_results set
if verify_results:
self._query_all_views(views, verify_results)
else:
self._check_view_intergrity(views)
##
# run all queries for all views in parallel
##
def _query_all_views(self, views, verify_results = True):
query_threads = []
for view in views:
t = RunQueriesThread(view, verify_results)
query_threads.append(t)
t.start()
[t.join() for t in query_threads]
self._check_view_intergrity(query_threads)
##
# If an error occured loading or querying data for a view
# it is queued and checked here. Fail on the first one that
# occurs.
##
def _check_view_intergrity(self, thread_results):
for result in thread_results:
if result.test_results.errors:
self.fail(result.test_results.errors[0][1])
if result.test_results.failures:
self.fail(result.test_results.failures[0][1])
###
# Rebalance
###
def _rebalance_cluster(self, data_set):
if self.helper.num_nodes_to_add >= 1:
rebalance = self.cluster.async_rebalance(self.servers[:1],
self.servers[1:self.helper.num_nodes_to_add + 1],
[])
self._query_test_init(data_set)
rebalance.result()
elif self.helper.num_nodes_to_remove >= 1:
rebalance = self.cluster.async_rebalance(self.servers[:1],[],
self.servers[1:self.helper.num_nodes_to_add + 1])
self._query_test_init(data_set)
rebalance.result()
def _failover_cluster(self, data_set):
failover_nodes = self.servers[1 : self.helper.failover_factor + 1]
try:
# failover and verify loaded data
#self.cluster.failover(self.servers, failover_nodes)
self.cluster.failover(self.servers, self.servers[1:2])
self.log.info("120 seconds sleep after failover before invoking rebalance...")
time.sleep(120)
rebalance = self.cluster.async_rebalance(self.servers,
[], self.servers[1:2])
self._query_test_init(data_set)
msg = "rebalance failed while removing failover nodes {0}".format(failover_nodes)
self.assertTrue(rebalance.result(), msg=msg)
#verify queries after failover
self._query_test_init(data_set)
finally:
self.log.info("Completed the failover testing for spatial querying")
###
# Warmup
###
def _warmup_cluster(self, data_set):
for server in self.servers[0:self.helper.num_nodes_warmup]:
remote = RemoteMachineShellConnection(server)
remote.stop_server()
remote.start_server()
remote.disconnect()
self.log.info("Node {0} should be warming up ".format(server.ip))
time.sleep(120)
self._query_test_init(data_set)
# REBOOT
def _reboot_cluster(self, data_set):
try:
for server in self.servers[0:self.helper.num_nodes_reboot]:
shell = RemoteMachineShellConnection(server)
if shell.extract_remote_info().type.lower() == 'windows':
o, r = shell.execute_command("shutdown -r -f -t 0")
shell.log_command_output(o, r)
shell.disconnect()
self.log.info("Node {0} is being stopped".format(server.ip))
elif shell.extract_remote_info().type.lower() == 'linux':
o, r = shell.execute_command("reboot")
shell.log_command_output(o, r)
shell.disconnect()
self.log.info("Node {0} is being stopped".format(server.ip))
time.sleep(120)
shell = RemoteMachineShellConnection(server)
command = "/sbin/iptables -F"
o, r = shell.execute_command(command)
shell.log_command_output(o, r)
shell.disconnect()
self.log.info("Node {0} backup".format(server.ip))
finally:
self.log.info("Warming-up server ..".format(server.ip))
time.sleep(100)
class SpatialInfoTests(unittest.TestCase):
def setUp(self):
self.log = logger.Logger.get_logger()
self.helper = SpatialHelper(self, "default")
self.helper.setup_cluster()
def tearDown(self):
self.helper.cleanup_cluster()
def test_spatial_info(self):
self.log.info(
"description : test info for spatial indexes")
rest = self.helper.rest
prefix = str(uuid.uuid4())[:7]
design_name = "dev_test_spatial_info"
self.helper.create_index_fun(design_name, prefix)
# Fill the database and add an index
self.helper.insert_docs(2000, prefix)
self.helper.get_results(design_name)
status, info = self.helper.info(design_name)
disk_size = info["spatial_index"]["disk_size"]
self.assertTrue(disk_size > 0)
self.assertEqual(info["name"], design_name)
num_vbuckets = len(rest.get_vbuckets(self.helper.bucket))
self.assertEqual(len(info["spatial_index"]["update_seq"]),
num_vbuckets)
self.assertEqual(len(info["spatial_index"]["purge_seq"]),
num_vbuckets)
self.assertFalse(info["spatial_index"]["updater_running"])
self.assertFalse(info["spatial_index"]["waiting_clients"] > 0)
self.assertFalse(info["spatial_index"]["compact_running"])
# Insert a lot new documents, and return after starting to
# build up (not waiting until it's done) the index to test
# if the updater fields are set correctly
self.helper.insert_docs(50000, prefix)
self.helper.get_results(design_name,
extra_params={"stale": "update_after"})
# Somehow stale=update_after doesn't really return immediately,
# thus commenting this assertion out. There's no real reason
# to investigate, as the indexing changes heavily in the moment
# anyway
#self.assertTrue(info["spatial_index"]["updater_running"])
#self.assertTrue(info["spatial_index"]["waiting_commit"])
#self.assertTrue(info["spatial_index"]["waiting_clients"] > 0)
self.assertFalse(info["spatial_index"]["compact_running"])
# Request the index again, to make sure it is fully updated
self.helper.get_results(design_name)
status, info = self.helper.info(design_name)
self.assertFalse(info["spatial_index"]["updater_running"])
self.assertFalse(info["spatial_index"]["waiting_clients"] > 0)
self.assertFalse(info["spatial_index"]["compact_running"])
self.assertTrue(info["spatial_index"]["disk_size"] > disk_size)
class SpatialQueryErrorsTests(BaseTestCase):
def setUp(self):
try:
if 'first_case' not in TestInputSingleton.input.test_params:
TestInputSingleton.input.test_params['default_bucket'] = False
TestInputSingleton.input.test_params['skip_cleanup'] = True
self.default_bucket_name = 'default'
super(SpatialQueryErrorsTests, self).setUp()
if 'first_case' in TestInputSingleton.input.test_params:
self.cluster.rebalance(self.servers[:], self.servers[1:], [])
# We use only one bucket in this test suite
self.rest = RestConnection(self.master)
self.bucket = self.rest.get_bucket(
Bucket(name=self.default_bucket_name))
# num_docs must be a multiple of the number of vbuckets
self.num_docs = self.input.param("num_docs", 2000)
# `testname` is used for the design document name as wel as the
# spatial function name
self.testname = 'query-errors'
self.helper = SpatialHelper(self, "default")
if 'first_case' in TestInputSingleton.input.test_params:
self.create_ddoc()
self.helper.insert_docs(self.num_docs, self.testname)
except Exception as ex:
self.input.test_params["stop-on-failure"] = True
self.log.error("SETUP WAS FAILED. ALL TESTS WILL BE SKIPPED")
self.fail(ex)
def tearDown(self):
# clean up will only performed on the last run
if 'last_case' in TestInputSingleton.input.test_params:
TestInputSingleton.input.test_params['skip_cleanup'] = False
super(SpatialQueryErrorsTests, self).tearDown()
else:
self.cluster.shutdown(force=True)
self._log_finish(self)
def test_query_errors(self):
all_params = [
'skip', 'limit', 'stale', 'bbox', 'start_range', 'end_range'
]
query_params = {}
for key in self.input.test_params:
if key in all_params:
query_params[key] = str(self.input.test_params[key])
try:
self.spatial_query(query_params)
except QueryViewException as ex:
self.assertEquals(self.input.test_params['error'],
json.loads(ex.reason)['error'])
else:
self.fail("Query did not fail, but should have. "
"Query parameters were: {0}".format(query_params))
def create_ddoc(self):
view_fn = '''function (doc) {
if (doc.age !== undefined || doc.height !== undefined ||
doc.bloom !== undefined || doc.shed_leaves !== undefined) {
emit([doc.age, doc.height, [doc.bloom, doc.shed_leaves]], doc.name);
}}'''
self.helper.create_index_fun(self.testname, view_fn)
def spatial_query(self, params={}, ddoc='test'):
bucket = self.default_bucket_name
if not 'stale' in params:
params['stale'] = 'false'
return self.rest.query_view(self.testname,
self.testname,
bucket,
params,
type="spatial")
def setUp(self):
self.log = logger.Logger.get_logger()
self.helper = SpatialHelper(self, "default")
self.helper.setup_cluster()
class SpatialViewsTests(BaseTestCase):
def setUp(self):
super(SpatialViewsTests, self).setUp()
self.skip_rebalance = self.input.param("skip_rebalance", False)
self.use_dev_views = self.input.param("use-dev-views", False)
self.default_map = "function (doc) {emit(doc.geometry, doc.age);}"
self.default_ddoc_name = self.input.param("default_ddoc_name",
"test-ddoc")
self.default_view_name = self.input.param("default_view_name",
"test-view")
self.bucket_name = "default"
if self.standard_buckets:
self.bucket_name = "standard_bucket0"
if self.sasl_buckets:
self.bucket_name = "bucket0"
self.helper = SpatialHelper(self, self.bucket_name)
if not self.skip_rebalance:
self.cluster.rebalance(self.servers[:], self.servers[1:], [])
#load some items to verify
self.docs = self.helper.insert_docs(self.num_items,
'spatial-doc',
wait_for_persistence=True,
return_docs=True)
def tearDown(self):
super(SpatialViewsTests, self).tearDown()
def test_add_spatial_views(self):
num_ddoc = self.input.param('num-ddoc', 1)
views_per_ddoc = self.input.param('views-per-ddoc', 1)
non_spatial_views_per_ddoc = self.input.param(
'non-spatial-views-per-ddoc', 0)
ddocs = self.make_ddocs(num_ddoc, views_per_ddoc,
non_spatial_views_per_ddoc)
self.create_ddocs(ddocs)
def test_add_spatial_views_case_sensative(self):
ddoc = DesignDocument(self.default_ddoc_name, [],
spatial_views=[
View(self.default_view_name,
self.default_map,
dev_view=self.use_dev_views,
is_spatial=True),
View(self.default_view_name.upper(),
self.default_map,
dev_view=self.use_dev_views,
is_spatial=True)
])
self.create_ddocs([ddoc])
def make_ddocs(self, ddocs_num, views_per_ddoc,
non_spatial_views_per_ddoc):
ddocs = []
for i in xrange(ddocs_num):
views = []
for k in xrange(views_per_ddoc):
views.append(
View(self.default_view_name + str(k),
self.default_map,
dev_view=self.use_dev_views,
is_spatial=True))
non_spatial_views = []
if non_spatial_views_per_ddoc:
for k in xrange(non_spatial_views_per_ddoc):
views.append(
View(self.default_view_name + str(k),
'function (doc) { emit(null, doc);}',
dev_view=self.use_dev_views))
ddocs.append(
DesignDocument(self.default_ddoc_name + str(i),
non_spatial_views,
spatial_views=views))
return ddocs
def create_ddocs(self, ddocs):
for ddoc in ddocs:
if not (ddoc.views or ddoc.spatial_views):
self.cluster.create_view(self.master,
ddoc.name, [],
bucket=self.bucket_name)
for view in ddoc.views:
self.cluster.create_view(self.master,
ddoc.name,
view,
bucket=self.bucket_name)
for view in ddoc.spatial_views:
self.cluster.create_view(self.master,
ddoc.name,
view,
bucket=self.bucket_name)
