def test_duplicate_metrics_per_cluster(self):
"""
Test to validate that cluster metrics names can't overlap.
@since 3.6.0
@jira_ticket PYTHON-561
@expected_result metric names should not be allowed to be same.
@test_category metrics
"""
cluster2 = Cluster(
metrics_enabled=True,
protocol_version=PROTOCOL_VERSION,
execution_profiles={
EXEC_PROFILE_DEFAULT:
ExecutionProfile(retry_policy=FallthroughRetryPolicy())
})
cluster3 = Cluster(
metrics_enabled=True,
protocol_version=PROTOCOL_VERSION,
execution_profiles={
EXEC_PROFILE_DEFAULT:
ExecutionProfile(retry_policy=FallthroughRetryPolicy())
})
# Ensure duplicate metric names are not allowed
cluster2.metrics.set_stats_name("appcluster")
cluster2.metrics.set_stats_name("appcluster")
with self.assertRaises(ValueError):
cluster3.metrics.set_stats_name("appcluster")
cluster3.metrics.set_stats_name("devops")
session2 = cluster2.connect(self.ks_name, wait_for_all_pools=True)
session3 = cluster3.connect(self.ks_name, wait_for_all_pools=True)
# Basic validation that naming metrics doesn't impact their segration or accuracy
for i in range(10):
query = SimpleStatement("SELECT * FROM {0}.{0}".format(
self.ks_name),
consistency_level=ConsistencyLevel.ALL)
session2.execute(query)
for i in range(5):
query = SimpleStatement("SELECT * FROM {0}.{0}".format(
self.ks_name),
consistency_level=ConsistencyLevel.ALL)
session3.execute(query)
self.assertEqual(
cluster2.metrics.get_stats()['request_timer']['count'], 10)
self.assertEqual(
cluster3.metrics.get_stats()['request_timer']['count'], 5)
# Check scales to ensure they are appropriately named
self.assertTrue("appcluster" in scales._Stats.stats.keys())
self.assertTrue("devops" in scales._Stats.stats.keys())
cluster2.shutdown()
cluster3.shutdown()
def test_unavailable(self):
policy = FallthroughRetryPolicy()
retry, consistency = policy.on_unavailable(
query=None, consistency=ONE,
required_replicas=1, alive_replicas=2, retry_num=1)
self.assertEqual(retry, RetryPolicy.RETHROW)
self.assertEqual(consistency, None)
retry, consistency = policy.on_unavailable(
query=None, consistency=ONE,
required_replicas=1, alive_replicas=2, retry_num=0)
self.assertEqual(retry, RetryPolicy.RETHROW)
self.assertEqual(consistency, None)
retry, consistency = policy.on_unavailable(
query=None, consistency=ONE,
required_replicas=10000, alive_replicas=1, retry_num=0)
self.assertEqual(retry, RetryPolicy.RETHROW)
self.assertEqual(consistency, None)
def test_write_timeout(self):
policy = FallthroughRetryPolicy()
retry, consistency = policy.on_write_timeout(
query=None, consistency=ONE, write_type=WriteType.SIMPLE,
required_responses=1, received_responses=2, retry_num=1)
self.assertEqual(retry, RetryPolicy.RETHROW)
self.assertEqual(consistency, None)
retry, consistency = policy.on_write_timeout(
query=None, consistency=ONE, write_type=WriteType.SIMPLE,
required_responses=1, received_responses=2, retry_num=0)
self.assertEqual(retry, RetryPolicy.RETHROW)
self.assertEqual(consistency, None)
retry, consistency = policy.on_write_timeout(
query=None, consistency=ONE, write_type=WriteType.BATCH_LOG,
required_responses=10000, received_responses=1, retry_num=0)
self.assertEqual(retry, RetryPolicy.RETHROW)
self.assertEqual(consistency, None)
def test_read_timeout(self):
policy = FallthroughRetryPolicy()
retry, consistency = policy.on_read_timeout(
query=None, consistency=ONE, required_responses=1, received_responses=2,
data_retrieved=True, retry_num=1)
self.assertEqual(retry, RetryPolicy.RETHROW)
self.assertEqual(consistency, None)
retry, consistency = policy.on_read_timeout(
query=None, consistency=ONE, required_responses=2, received_responses=1,
data_retrieved=True, retry_num=0)
self.assertEqual(retry, RetryPolicy.RETHROW)
self.assertEqual(consistency, None)
retry, consistency = policy.on_read_timeout(
query=None, consistency=ONE, required_responses=2, received_responses=2,
data_retrieved=True, retry_num=0)
self.assertEqual(retry, RetryPolicy.RETHROW)
self.assertEqual(consistency, None)
retry, consistency = policy.on_read_timeout(
query=None, consistency=ONE, required_responses=2, received_responses=2,
data_retrieved=False, retry_num=0)
self.assertEqual(retry, RetryPolicy.RETHROW)
self.assertEqual(consistency, None)
def setUp(self):
contact_point = ['127.0.0.2']
self.cluster = Cluster(
contact_points=contact_point,
metrics_enabled=True,
protocol_version=PROTOCOL_VERSION,
execution_profiles={
EXEC_PROFILE_DEFAULT:
ExecutionProfile(load_balancing_policy=HostFilterPolicy(
RoundRobinPolicy(),
lambda host: host.address in contact_point),
retry_policy=FallthroughRetryPolicy())
})
self.session = self.cluster.connect("test3rf", wait_for_all_pools=True)
def test_metrics_per_cluster(self):
"""
Test to validate that metrics can be scopped to invdividual clusters
@since 3.6.0
@jira_ticket PYTHON-561
@expected_result metrics should be scopped to a cluster level
@test_category metrics
"""
cluster2 = Cluster(
metrics_enabled=True,
protocol_version=PROTOCOL_VERSION,
execution_profiles={
EXEC_PROFILE_DEFAULT:
ExecutionProfile(retry_policy=FallthroughRetryPolicy())
})
cluster2.connect(self.ks_name, wait_for_all_pools=True)
self.assertEqual(len(cluster2.metadata.all_hosts()), 3)
query = SimpleStatement("SELECT * FROM {0}.{0}".format(self.ks_name),
consistency_level=ConsistencyLevel.ALL)
self.session.execute(query)
# Pause node so it shows as unreachable to coordinator
get_node(1).pause()
try:
# Test write
query = SimpleStatement(
"INSERT INTO {0}.{0} (k, v) VALUES (2, 2)".format(
self.ks_name),
consistency_level=ConsistencyLevel.ALL)
with self.assertRaises(WriteTimeout):
self.session.execute(query, timeout=None)
finally:
get_node(1).resume()
# Change the scales stats_name of the cluster2
cluster2.metrics.set_stats_name('cluster2-metrics')
stats_cluster1 = self.cluster.metrics.get_stats()
stats_cluster2 = cluster2.metrics.get_stats()
# Test direct access to stats
self.assertEqual(1, self.cluster.metrics.stats.write_timeouts)
self.assertEqual(0, cluster2.metrics.stats.write_timeouts)
# Test direct access to a child stats
self.assertNotEqual(0.0, self.cluster.metrics.request_timer['mean'])
self.assertEqual(0.0, cluster2.metrics.request_timer['mean'])
# Test access via metrics.get_stats()
self.assertNotEqual(0.0, stats_cluster1['request_timer']['mean'])
self.assertEqual(0.0, stats_cluster2['request_timer']['mean'])
# Test access by stats_name
self.assertEqual(
0.0,
scales.getStats()['cluster2-metrics']['request_timer']['mean'])
cluster2.shutdown()