class StreamsSmokeTest(KafkaTest):
"""
Simple test of Kafka Streams.
"""
def __init__(self, test_context):
super(StreamsSmokeTest, self).__init__(test_context, num_zk=1, num_brokers=3, topics={
'echo' : { 'partitions': 5, 'replication-factor': 1 },
'data' : { 'partitions': 5, 'replication-factor': 1 },
'min' : { 'partitions': 5, 'replication-factor': 1 },
'max' : { 'partitions': 5, 'replication-factor': 1 },
'sum' : { 'partitions': 5, 'replication-factor': 1 },
'dif' : { 'partitions': 5, 'replication-factor': 1 },
'cnt' : { 'partitions': 5, 'replication-factor': 1 },
'avg' : { 'partitions': 5, 'replication-factor': 1 },
'wcnt' : { 'partitions': 5, 'replication-factor': 1 },
'tagg' : { 'partitions': 5, 'replication-factor': 1 }
})
self.driver = StreamsSmokeTestDriverService(test_context, self.kafka)
self.processor1 = StreamsSmokeTestJobRunnerService(test_context, self.kafka)
self.processor2 = StreamsSmokeTestJobRunnerService(test_context, self.kafka)
self.processor3 = StreamsSmokeTestJobRunnerService(test_context, self.kafka)
self.processor4 = StreamsSmokeTestJobRunnerService(test_context, self.kafka)
@cluster(num_nodes=9)
def test_streams(self):
"""
Start a few smoke test clients, then repeat start a new one, stop (cleanly) running one a few times.
Ensure that all results (stats on values computed by Kafka Streams) are correct.
"""
self.driver.start()
self.processor1.start()
self.processor2.start()
time.sleep(15)
self.processor3.start()
self.processor1.stop()
time.sleep(15)
self.processor4.start()
self.driver.wait()
self.driver.stop()
self.processor2.stop()
self.processor3.stop()
self.processor4.stop()
node = self.driver.node
node.account.ssh("grep SUCCESS %s" % self.driver.STDOUT_FILE, allow_fail=False)
class StreamsSmokeTest(KafkaTest):
"""
Simple test of Kafka Streams.
"""
def __init__(self, test_context):
super(StreamsSmokeTest, self).__init__(test_context, num_zk=1, num_brokers=2, topics={
'echo' : { 'partitions': 5, 'replication-factor': 1 },
'data' : { 'partitions': 5, 'replication-factor': 1 },
'min' : { 'partitions': 5, 'replication-factor': 1 },
'max' : { 'partitions': 5, 'replication-factor': 1 },
'sum' : { 'partitions': 5, 'replication-factor': 1 },
'dif' : { 'partitions': 5, 'replication-factor': 1 },
'cnt' : { 'partitions': 5, 'replication-factor': 1 },
'avg' : { 'partitions': 5, 'replication-factor': 1 },
'wcnt' : { 'partitions': 5, 'replication-factor': 1 },
'tagg' : { 'partitions': 5, 'replication-factor': 1 }
})
self.driver = StreamsSmokeTestDriverService(test_context, self.kafka)
self.processor1 = StreamsSmokeTestJobRunnerService(test_context, self.kafka)
self.processor2 = StreamsSmokeTestJobRunnerService(test_context, self.kafka)
self.processor3 = StreamsSmokeTestJobRunnerService(test_context, self.kafka)
self.processor4 = StreamsSmokeTestJobRunnerService(test_context, self.kafka)
@cluster(num_nodes=8)
def test_streams(self):
"""
Start a few smoke test clients, then repeat start a new one, stop (cleanly) running one a few times.
Ensure that all results (stats on values computed by Kafka Streams) are correct.
"""
self.driver.start()
self.processor1.start()
self.processor2.start()
time.sleep(15)
self.processor3.start()
self.processor1.stop()
time.sleep(15)
self.processor4.start()
self.driver.wait()
self.driver.stop()
self.processor2.stop()
self.processor3.stop()
self.processor4.stop()
node = self.driver.node
node.account.ssh("grep SUCCESS %s" % self.driver.STDOUT_FILE, allow_fail=False)
class StreamsBounceTest(KafkaTest):
"""
Simple test of Kafka Streams.
"""
def __init__(self, test_context):
super(StreamsBounceTest, self).__init__(test_context, num_zk=1, num_brokers=3, topics={
'echo' : { 'partitions': 5, 'replication-factor': 2 },
'data' : { 'partitions': 5, 'replication-factor': 2 },
'min' : { 'partitions': 5, 'replication-factor': 2 },
'max' : { 'partitions': 5, 'replication-factor': 2 },
'sum' : { 'partitions': 5, 'replication-factor': 2 },
'dif' : { 'partitions': 5, 'replication-factor': 2 },
'cnt' : { 'partitions': 5, 'replication-factor': 2 },
'avg' : { 'partitions': 5, 'replication-factor': 2 },
'wcnt' : { 'partitions': 5, 'replication-factor': 2 },
'tagg' : { 'partitions': 5, 'replication-factor': 2 }
})
self.driver = StreamsSmokeTestDriverService(test_context, self.kafka)
self.processor1 = StreamsSmokeTestJobRunnerService(test_context, self.kafka)
@cluster(num_nodes=6)
def test_bounce(self):
"""
Start a smoke test client, then abort (kill -9) and restart it a few times.
Ensure that all records are delivered.
"""
self.driver.start()
self.processor1.start()
time.sleep(15)
self.processor1.abortThenRestart()
time.sleep(15)
# enable this after we add change log partition replicas
#self.kafka.signal_leader("data")
#time.sleep(15);
self.processor1.abortThenRestart()
self.driver.wait()
self.driver.stop()
self.processor1.stop()
node = self.driver.node
node.account.ssh("grep ALL-RECORDS-DELIVERED %s" % self.driver.STDOUT_FILE, allow_fail=False)
class StreamsBounceTest(KafkaTest):
"""
Simple test of Kafka Streams.
"""
def __init__(self, test_context):
super(StreamsBounceTest, self).__init__(test_context, num_zk=1, num_brokers=3, topics={
'echo' : { 'partitions': 5, 'replication-factor': 2 },
'data' : { 'partitions': 5, 'replication-factor': 2 },
'min' : { 'partitions': 5, 'replication-factor': 2 },
'max' : { 'partitions': 5, 'replication-factor': 2 },
'sum' : { 'partitions': 5, 'replication-factor': 2 },
'dif' : { 'partitions': 5, 'replication-factor': 2 },
'cnt' : { 'partitions': 5, 'replication-factor': 2 },
'avg' : { 'partitions': 5, 'replication-factor': 2 },
'wcnt' : { 'partitions': 5, 'replication-factor': 2 },
'tagg' : { 'partitions': 5, 'replication-factor': 2 }
})
self.driver = StreamsSmokeTestDriverService(test_context, self.kafka)
self.processor1 = StreamsSmokeTestJobRunnerService(test_context, self.kafka)
@cluster(num_nodes=6)
def test_bounce(self):
"""
Start a smoke test client, then abort (kill -9) and restart it a few times.
Ensure that all records are delivered.
"""
self.driver.start()
self.processor1.start()
time.sleep(15)
self.processor1.abortThenRestart()
time.sleep(15)
# enable this after we add change log partition replicas
#self.kafka.signal_leader("data")
#time.sleep(15);
self.processor1.abortThenRestart()
self.driver.wait()
self.driver.stop()
self.processor1.stop()
node = self.driver.node
node.account.ssh("grep ALL-RECORDS-DELIVERED %s" % self.driver.STDOUT_FILE, allow_fail=False)
class StreamsBrokerBounceTest(Test):
"""
Simple test of Kafka Streams with brokers failing
"""
def __init__(self, test_context):
super(StreamsBrokerBounceTest, self).__init__(test_context)
self.replication = 3
self.partitions = 3
self.topics = {
'echo': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": 2
}
},
'data': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": 2
}
},
'min': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": 2
}
},
'max': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": 2
}
},
'sum': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": 2
}
},
'dif': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": 2
}
},
'cnt': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": 2
}
},
'avg': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": 2
}
},
'wcnt': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": 2
}
},
'tagg': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": 2
}
},
'__consumer_offsets': {
'partitions': 50,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": 2
}
}
}
def fail_broker_type(self, failure_mode, broker_type):
# Pick a random topic and bounce it's leader
topic_index = randint(0, len(self.topics.keys()) - 1)
topic = self.topics.keys()[topic_index]
failures[failure_mode](self, topic, broker_type)
def fail_many_brokers(self, failure_mode, num_failures):
sig = signal.SIGTERM
if (failure_mode == "clean_shutdown"):
sig = signal.SIGTERM
else:
sig = signal.SIGKILL
for num in range(0, num_failures - 1):
signal_node(self, self.kafka.nodes[num], sig)
def setup_system(self, start_processor=True):
# Setup phase
self.zk = ZookeeperService(self.test_context, num_nodes=1)
self.zk.start()
self.kafka = KafkaService(self.test_context,
num_nodes=self.replication,
zk=self.zk,
topics=self.topics)
self.kafka.start()
# Start test harness
self.driver = StreamsSmokeTestDriverService(self.test_context,
self.kafka)
self.processor1 = StreamsSmokeTestJobRunnerService(
self.test_context, self.kafka)
self.driver.start()
if (start_processor):
self.processor1.start()
def collect_results(self, sleep_time_secs):
data = {}
# End test
self.driver.wait()
self.driver.stop()
self.processor1.stop()
node = self.driver.node
# Success is declared if streams does not crash when sleep time > 0
# It should give an exception when sleep time is 0 since we kill the brokers immediately
# and the topic manager cannot create internal topics with the desired replication factor
if (sleep_time_secs == 0):
output_streams = self.processor1.node.account.ssh_capture(
"grep SMOKE-TEST-CLIENT-EXCEPTION %s" %
self.processor1.STDOUT_FILE,
allow_fail=False)
else:
output_streams = self.processor1.node.account.ssh_capture(
"grep SMOKE-TEST-CLIENT-CLOSED %s" %
self.processor1.STDOUT_FILE,
allow_fail=False)
for line in output_streams:
data["Client closed"] = line
# Currently it is hard to guarantee anything about Kafka since we don't have exactly once.
# With exactly once in place, success will be defined as ALL-RECORDS-DELIEVERD and SUCCESS
output = node.account.ssh_capture(
"grep -E 'ALL-RECORDS-DELIVERED|PROCESSED-MORE-THAN-GENERATED|PROCESSED-LESS-THAN-GENERATED' %s"
% self.driver.STDOUT_FILE,
allow_fail=False)
for line in output:
data["Records Delivered"] = line
output = node.account.ssh_capture("grep -E 'SUCCESS|FAILURE' %s" %
self.driver.STDOUT_FILE,
allow_fail=False)
for line in output:
data["Logic Success/Failure"] = line
return data
@cluster(num_nodes=7)
@matrix(failure_mode=[
"clean_shutdown", "hard_shutdown", "clean_bounce", "hard_bounce"
],
broker_type=["leader", "controller"],
sleep_time_secs=[120])
def test_broker_type_bounce(self, failure_mode, broker_type,
sleep_time_secs):
"""
Start a smoke test client, then kill one particular broker and ensure data is still received
Record if records are delivered.
"""
self.setup_system()
# Sleep to allow test to run for a bit
time.sleep(sleep_time_secs)
# Fail brokers
self.fail_broker_type(failure_mode, broker_type)
return self.collect_results(sleep_time_secs)
@ignore
@cluster(num_nodes=7)
@matrix(failure_mode=["clean_shutdown"],
broker_type=["controller"],
sleep_time_secs=[0])
def test_broker_type_bounce_at_start(self, failure_mode, broker_type,
sleep_time_secs):
"""
Start a smoke test client, then kill one particular broker immediately before streams stats
Streams should throw an exception since it cannot create topics with the desired
replication factor of 3
"""
self.setup_system(start_processor=False)
# Sleep to allow test to run for a bit
time.sleep(sleep_time_secs)
# Fail brokers
self.fail_broker_type(failure_mode, broker_type)
self.processor1.start()
return self.collect_results(sleep_time_secs)
@cluster(num_nodes=7)
@matrix(failure_mode=[
"clean_shutdown", "hard_shutdown", "clean_bounce", "hard_bounce"
],
num_failures=[2])
def test_many_brokers_bounce(self, failure_mode, num_failures):
"""
Start a smoke test client, then kill a few brokers and ensure data is still received
Record if records are delivered
"""
self.setup_system()
# Sleep to allow test to run for a bit
time.sleep(120)
# Fail brokers
self.fail_many_brokers(failure_mode, num_failures)
return self.collect_results(120)
@cluster(num_nodes=7)
@matrix(failure_mode=["clean_bounce", "hard_bounce"], num_failures=[3])
def test_all_brokers_bounce(self, failure_mode, num_failures):
"""
Start a smoke test client, then kill a few brokers and ensure data is still received
Record if records are delivered
"""
self.setup_system()
# Sleep to allow test to run for a bit
time.sleep(120)
# Fail brokers
self.fail_many_brokers(failure_mode, num_failures)
return self.collect_results(120)
class StreamsUpgradeTest(Test):
"""
Test upgrading Kafka Streams (all version combination)
If metadata was changes, upgrade is more difficult
Metadata version was bumped in 0.10.1.0
"""
def __init__(self, test_context):
super(StreamsUpgradeTest, self).__init__(test_context)
self.topics = {
'echo': {
'partitions': 5
},
'data': {
'partitions': 5
},
}
self.leader = None
self.leader_counter = {}
def perform_broker_upgrade(self, to_version):
self.logger.info("First pass bounce - rolling broker upgrade")
for node in self.kafka.nodes:
self.kafka.stop_node(node)
node.version = KafkaVersion(to_version)
self.kafka.start_node(node)
@ignore
@cluster(num_nodes=6)
@matrix(from_version=broker_upgrade_versions,
to_version=broker_upgrade_versions)
def test_upgrade_downgrade_brokers(self, from_version, to_version):
"""
Start a smoke test client then perform rolling upgrades on the broker.
"""
if from_version == to_version:
return
self.replication = 3
self.partitions = 1
self.isr = 2
self.topics = {
'echo': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
},
'data': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
},
'min': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
},
'max': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
},
'sum': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
},
'dif': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
},
'cnt': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
},
'avg': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
},
'wcnt': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
},
'tagg': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
}
}
# Setup phase
self.zk = ZookeeperService(self.test_context, num_nodes=1)
self.zk.start()
# number of nodes needs to be >= 3 for the smoke test
self.kafka = KafkaService(self.test_context,
num_nodes=3,
zk=self.zk,
version=KafkaVersion(from_version),
topics=self.topics)
self.kafka.start()
# allow some time for topics to be created
time.sleep(10)
self.driver = StreamsSmokeTestDriverService(self.test_context,
self.kafka)
self.processor1 = StreamsSmokeTestJobRunnerService(
self.test_context, self.kafka)
self.driver.start()
self.processor1.start()
time.sleep(15)
self.perform_broker_upgrade(to_version)
time.sleep(15)
self.driver.wait()
self.driver.stop()
self.processor1.stop()
node = self.driver.node
node.account.ssh(
"grep -E 'ALL-RECORDS-DELIVERED|PROCESSED-MORE-THAN-GENERATED' %s"
% self.driver.STDOUT_FILE,
allow_fail=False)
self.processor1.node.account.ssh_capture(
"grep SMOKE-TEST-CLIENT-CLOSED %s" % self.processor1.STDOUT_FILE,
allow_fail=False)
@matrix(from_version=metadata_2_versions, to_version=metadata_2_versions)
def test_simple_upgrade_downgrade(self, from_version, to_version):
"""
Starts 3 KafkaStreams instances with <old_version>, and upgrades one-by-one to <new_version>
"""
if from_version == to_version:
return
self.zk = ZookeeperService(self.test_context, num_nodes=1)
self.zk.start()
self.kafka = KafkaService(self.test_context,
num_nodes=1,
zk=self.zk,
topics=self.topics)
self.kafka.start()
self.driver = StreamsSmokeTestDriverService(self.test_context,
self.kafka)
self.driver.disable_auto_terminate()
self.processor1 = StreamsUpgradeTestJobRunnerService(
self.test_context, self.kafka)
self.processor2 = StreamsUpgradeTestJobRunnerService(
self.test_context, self.kafka)
self.processor3 = StreamsUpgradeTestJobRunnerService(
self.test_context, self.kafka)
self.driver.start()
self.start_all_nodes_with(from_version)
self.processors = [self.processor1, self.processor2, self.processor3]
counter = 1
random.seed()
# upgrade one-by-one via rolling bounce
random.shuffle(self.processors)
for p in self.processors:
p.CLEAN_NODE_ENABLED = False
self.do_stop_start_bounce(p, None, to_version, counter)
counter = counter + 1
# shutdown
self.driver.stop()
self.driver.wait()
random.shuffle(self.processors)
for p in self.processors:
node = p.node
with node.account.monitor_log(p.STDOUT_FILE) as monitor:
p.stop()
monitor.wait_until(
"UPGRADE-TEST-CLIENT-CLOSED",
timeout_sec=60,
err_msg="Never saw output 'UPGRADE-TEST-CLIENT-CLOSED' on"
+ str(node.account))
self.driver.stop()
@matrix(from_version=metadata_1_versions,
to_version=backward_compatible_metadata_2_versions)
@matrix(from_version=metadata_1_versions,
to_version=metadata_3_or_higher_versions)
@matrix(from_version=metadata_2_versions,
to_version=metadata_3_or_higher_versions)
def test_metadata_upgrade(self, from_version, to_version):
"""
Starts 3 KafkaStreams instances with version <from_version> and upgrades one-by-one to <to_version>
"""
self.zk = ZookeeperService(self.test_context, num_nodes=1)
self.zk.start()
self.kafka = KafkaService(self.test_context,
num_nodes=1,
zk=self.zk,
topics=self.topics)
self.kafka.start()
self.driver = StreamsSmokeTestDriverService(self.test_context,
self.kafka)
self.driver.disable_auto_terminate()
self.processor1 = StreamsUpgradeTestJobRunnerService(
self.test_context, self.kafka)
self.processor2 = StreamsUpgradeTestJobRunnerService(
self.test_context, self.kafka)
self.processor3 = StreamsUpgradeTestJobRunnerService(
self.test_context, self.kafka)
self.driver.start()
self.start_all_nodes_with(from_version)
self.processors = [self.processor1, self.processor2, self.processor3]
counter = 1
random.seed()
# first rolling bounce
random.shuffle(self.processors)
for p in self.processors:
p.CLEAN_NODE_ENABLED = False
self.do_stop_start_bounce(p, from_version[:-2], to_version,
counter)
counter = counter + 1
# second rolling bounce
random.shuffle(self.processors)
for p in self.processors:
self.do_stop_start_bounce(p, None, to_version, counter)
counter = counter + 1
# shutdown
self.driver.stop()
self.driver.wait()
random.shuffle(self.processors)
for p in self.processors:
node = p.node
with node.account.monitor_log(p.STDOUT_FILE) as monitor:
p.stop()
monitor.wait_until(
"UPGRADE-TEST-CLIENT-CLOSED",
timeout_sec=60,
err_msg="Never saw output 'UPGRADE-TEST-CLIENT-CLOSED' on"
+ str(node.account))
self.driver.stop()
def test_version_probing_upgrade(self):
"""
Starts 3 KafkaStreams instances, and upgrades one-by-one to "future version"
"""
self.zk = ZookeeperService(self.test_context, num_nodes=1)
self.zk.start()
self.kafka = KafkaService(self.test_context,
num_nodes=1,
zk=self.zk,
topics=self.topics)
self.kafka.start()
self.driver = StreamsSmokeTestDriverService(self.test_context,
self.kafka)
self.driver.disable_auto_terminate()
self.processor1 = StreamsUpgradeTestJobRunnerService(
self.test_context, self.kafka)
self.processor2 = StreamsUpgradeTestJobRunnerService(
self.test_context, self.kafka)
self.processor3 = StreamsUpgradeTestJobRunnerService(
self.test_context, self.kafka)
self.driver.start()
self.start_all_nodes_with("") # run with TRUNK
self.processors = [self.processor1, self.processor2, self.processor3]
self.old_processors = [
self.processor1, self.processor2, self.processor3
]
self.upgraded_processors = []
for p in self.processors:
self.leader_counter[p] = 2
self.update_leader()
for p in self.processors:
self.leader_counter[p] = 0
self.leader_counter[self.leader] = 3
counter = 1
current_generation = 3
random.seed()
random.shuffle(self.processors)
for p in self.processors:
p.CLEAN_NODE_ENABLED = False
current_generation = self.do_rolling_bounce(
p, counter, current_generation)
counter = counter + 1
# shutdown
self.driver.stop()
self.driver.wait()
random.shuffle(self.processors)
for p in self.processors:
node = p.node
with node.account.monitor_log(p.STDOUT_FILE) as monitor:
p.stop()
monitor.wait_until(
"UPGRADE-TEST-CLIENT-CLOSED",
timeout_sec=60,
err_msg="Never saw output 'UPGRADE-TEST-CLIENT-CLOSED' on"
+ str(node.account))
self.driver.stop()
def update_leader(self):
self.leader = None
retries = 10
while retries > 0:
for p in self.processors:
found = list(
p.node.account.ssh_capture(
"grep \"Finished assignment for group\" %s" %
p.LOG_FILE,
allow_fail=True))
if len(found) == self.leader_counter[p] + 1:
if self.leader is not None:
raise Exception("Could not uniquely identify leader")
self.leader = p
self.leader_counter[p] = self.leader_counter[p] + 1
if self.leader is None:
retries = retries - 1
time.sleep(5)
else:
break
if self.leader is None:
raise Exception("Could not identify leader")
def start_all_nodes_with(self, version):
# start first with <version>
self.prepare_for(self.processor1, version)
node1 = self.processor1.node
with node1.account.monitor_log(self.processor1.STDOUT_FILE) as monitor:
with node1.account.monitor_log(
self.processor1.LOG_FILE) as log_monitor:
self.processor1.start()
log_monitor.wait_until(
"Kafka version : " + version,
timeout_sec=60,
err_msg="Could not detect Kafka Streams version " +
version + " " + str(node1.account))
monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on" +
str(node1.account))
# start second with <version>
self.prepare_for(self.processor2, version)
node2 = self.processor2.node
with node1.account.monitor_log(
self.processor1.STDOUT_FILE) as first_monitor:
with node2.account.monitor_log(
self.processor2.STDOUT_FILE) as second_monitor:
with node2.account.monitor_log(
self.processor2.LOG_FILE) as log_monitor:
self.processor2.start()
log_monitor.wait_until(
"Kafka version : " + version,
timeout_sec=60,
err_msg="Could not detect Kafka Streams version " +
version + " " + str(node2.account))
first_monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on"
+ str(node1.account))
second_monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on"
+ str(node2.account))
# start third with <version>
self.prepare_for(self.processor3, version)
node3 = self.processor3.node
with node1.account.monitor_log(
self.processor1.STDOUT_FILE) as first_monitor:
with node2.account.monitor_log(
self.processor2.STDOUT_FILE) as second_monitor:
with node3.account.monitor_log(
self.processor3.STDOUT_FILE) as third_monitor:
with node3.account.monitor_log(
self.processor3.LOG_FILE) as log_monitor:
self.processor3.start()
log_monitor.wait_until(
"Kafka version : " + version,
timeout_sec=60,
err_msg="Could not detect Kafka Streams version " +
version + " " + str(node3.account))
first_monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on"
+ str(node1.account))
second_monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on"
+ str(node2.account))
third_monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on"
+ str(node3.account))
@staticmethod
def prepare_for(processor, version):
processor.node.account.ssh("rm -rf " + processor.PERSISTENT_ROOT,
allow_fail=False)
if version == str(DEV_VERSION):
processor.set_version("") # set to TRUNK
else:
processor.set_version(version)
def do_stop_start_bounce(self, processor, upgrade_from, new_version,
counter):
first_other_processor = None
second_other_processor = None
for p in self.processors:
if p != processor:
if first_other_processor is None:
first_other_processor = p
else:
second_other_processor = p
node = processor.node
first_other_node = first_other_processor.node
second_other_node = second_other_processor.node
# stop processor and wait for rebalance of others
with first_other_node.account.monitor_log(
first_other_processor.STDOUT_FILE) as first_other_monitor:
with second_other_node.account.monitor_log(
second_other_processor.STDOUT_FILE
) as second_other_monitor:
processor.stop()
first_other_monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on" +
str(first_other_node.account))
second_other_monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on" +
str(second_other_node.account))
node.account.ssh_capture("grep UPGRADE-TEST-CLIENT-CLOSED %s" %
processor.STDOUT_FILE,
allow_fail=False)
if upgrade_from is None: # upgrade disabled -- second round of rolling bounces
roll_counter = ".1-" # second round of rolling bounces
else:
roll_counter = ".0-" # first round of rolling boundes
node.account.ssh("mv " + processor.STDOUT_FILE + " " +
processor.STDOUT_FILE + roll_counter + str(counter),
allow_fail=False)
node.account.ssh("mv " + processor.STDERR_FILE + " " +
processor.STDERR_FILE + roll_counter + str(counter),
allow_fail=False)
node.account.ssh("mv " + processor.LOG_FILE + " " +
processor.LOG_FILE + roll_counter + str(counter),
allow_fail=False)
if new_version == str(DEV_VERSION):
processor.set_version("") # set to TRUNK
else:
processor.set_version(new_version)
processor.set_upgrade_from(upgrade_from)
grep_metadata_error = "grep \"org.apache.kafka.streams.errors.TaskAssignmentException: unable to decode subscription data: version=2\" "
with node.account.monitor_log(processor.STDOUT_FILE) as monitor:
with node.account.monitor_log(processor.LOG_FILE) as log_monitor:
with first_other_node.account.monitor_log(
first_other_processor.STDOUT_FILE
) as first_other_monitor:
with second_other_node.account.monitor_log(
second_other_processor.STDOUT_FILE
) as second_other_monitor:
processor.start()
log_monitor.wait_until(
"Kafka version : " + new_version,
timeout_sec=60,
err_msg="Could not detect Kafka Streams version " +
new_version + " " + str(node.account))
first_other_monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on"
+ str(first_other_node.account))
found = list(
first_other_node.account.ssh_capture(
grep_metadata_error +
first_other_processor.STDERR_FILE,
allow_fail=True))
if len(found) > 0:
raise Exception(
"Kafka Streams failed with 'unable to decode subscription data: version=2'"
)
second_other_monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on"
+ str(second_other_node.account))
found = list(
second_other_node.account.ssh_capture(
grep_metadata_error +
second_other_processor.STDERR_FILE,
allow_fail=True))
if len(found) > 0:
raise Exception(
"Kafka Streams failed with 'unable to decode subscription data: version=2'"
)
monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on"
+ str(node.account))
def do_rolling_bounce(self, processor, counter, current_generation):
first_other_processor = None
second_other_processor = None
for p in self.processors:
if p != processor:
if first_other_processor is None:
first_other_processor = p
else:
second_other_processor = p
node = processor.node
first_other_node = first_other_processor.node
second_other_node = second_other_processor.node
with first_other_node.account.monitor_log(
first_other_processor.LOG_FILE) as first_other_monitor:
with second_other_node.account.monitor_log(
second_other_processor.LOG_FILE) as second_other_monitor:
# stop processor
processor.stop()
node.account.ssh_capture("grep UPGRADE-TEST-CLIENT-CLOSED %s" %
processor.STDOUT_FILE,
allow_fail=False)
node.account.ssh("mv " + processor.STDOUT_FILE + " " +
processor.STDOUT_FILE + "." + str(counter),
allow_fail=False)
node.account.ssh("mv " + processor.STDERR_FILE + " " +
processor.STDERR_FILE + "." + str(counter),
allow_fail=False)
node.account.ssh("mv " + processor.LOG_FILE + " " +
processor.LOG_FILE + "." + str(counter),
allow_fail=False)
self.leader_counter[processor] = 0
with node.account.monitor_log(
processor.LOG_FILE) as log_monitor:
processor.set_upgrade_to("future_version")
processor.start()
self.old_processors.remove(processor)
self.upgraded_processors.append(processor)
log_monitor.wait_until(
"Kafka version : " + str(DEV_VERSION),
timeout_sec=60,
err_msg="Could not detect Kafka Streams version " +
str(DEV_VERSION) + " in " + str(node.account))
log_monitor.offset = 5
log_monitor.wait_until(
"partition\.assignment\.strategy = \[org\.apache\.kafka\.streams\.tests\.StreamsUpgradeTest$FutureStreamsPartitionAssignor\]",
timeout_sec=60,
err_msg=
"Could not detect FutureStreamsPartitionAssignor in " +
str(node.account))
if processor == self.leader:
self.update_leader()
else:
self.leader_counter[
self.leader] = self.leader_counter[self.leader] + 1
if processor == self.leader:
leader_monitor = log_monitor
elif first_other_processor == self.leader:
leader_monitor = first_other_monitor
elif second_other_processor == self.leader:
leader_monitor = second_other_monitor
else:
raise Exception("Could not identify leader.")
monitors = {}
monitors[processor] = log_monitor
monitors[first_other_processor] = first_other_monitor
monitors[second_other_processor] = second_other_monitor
leader_monitor.wait_until(
"Received a future (version probing) subscription (version: 5). Sending empty assignment back (with supported version 4).",
timeout_sec=60,
err_msg=
"Could not detect 'version probing' attempt at leader "
+ str(self.leader.node.account))
if len(self.old_processors) > 0:
log_monitor.wait_until(
"Sent a version 5 subscription and got version 4 assignment back (successful version probing). Downgrading subscription metadata to received version and trigger new rebalance.",
timeout_sec=60,
err_msg=
"Could not detect 'successful version probing' at upgrading node "
+ str(node.account))
else:
log_monitor.wait_until(
"Sent a version 5 subscription and got version 4 assignment back (successful version probing). Setting subscription metadata to leaders supported version 5 and trigger new rebalance.",
timeout_sec=60,
err_msg=
"Could not detect 'successful version probing with upgraded leader' at upgrading node "
+ str(node.account))
first_other_monitor.wait_until(
"Sent a version 4 subscription and group leader.s latest supported version is 5. Upgrading subscription metadata version to 5 for next rebalance.",
timeout_sec=60,
err_msg=
"Never saw output 'Upgrade metadata to version 4' on"
+ str(first_other_node.account))
second_other_monitor.wait_until(
"Sent a version 4 subscription and group leader.s latest supported version is 5. Upgrading subscription metadata version to 5 for next rebalance.",
timeout_sec=60,
err_msg=
"Never saw output 'Upgrade metadata to version 4' on"
+ str(second_other_node.account))
log_monitor.wait_until(
"Version probing detected. Triggering new rebalance.",
timeout_sec=60,
err_msg=
"Could not detect 'Triggering new rebalance' at upgrading node "
+ str(node.account))
# version probing should trigger second rebalance
# now we check that after consecutive rebalances we have synchronized generation
generation_synchronized = False
retries = 0
while retries < 10:
processor_found = self.extract_generation_from_logs(
processor)
first_other_processor_found = self.extract_generation_from_logs(
first_other_processor)
second_other_processor_found = self.extract_generation_from_logs(
second_other_processor)
if len(processor_found) > 0 and len(
first_other_processor_found) > 0 and len(
second_other_processor_found) > 0:
self.logger.info("processor: " +
str(processor_found))
self.logger.info("first other processor: " +
str(first_other_processor_found))
self.logger.info("second other processor: " +
str(second_other_processor_found))
processor_generation = self.extract_highest_generation(
processor_found)
first_other_processor_generation = self.extract_highest_generation(
first_other_processor_found)
second_other_processor_generation = self.extract_highest_generation(
second_other_processor_found)
if processor_generation == first_other_processor_generation and processor_generation == second_other_processor_generation:
current_generation = processor_generation
generation_synchronized = True
break
time.sleep(5)
retries = retries + 1
if generation_synchronized == False:
raise Exception(
"Never saw all three processors have the synchronized generation number"
)
if processor == self.leader:
self.update_leader()
else:
self.leader_counter[
self.leader] = self.leader_counter[self.leader] + 1
if self.leader in self.old_processors or len(
self.old_processors) > 0:
self.verify_metadata_no_upgraded_yet()
return current_generation
def extract_generation_from_logs(self, processor):
return list(
processor.node.account.ssh_capture(
"grep \"Successfully joined group with generation\" %s| awk \'{for(i=1;i<=NF;i++) {if ($i == \"generation\") beginning=i+1; if($i== \"(org.apache.kafka.clients.consumer.internals.AbstractCoordinator)\") ending=i }; for (j=beginning;j<ending;j++) printf $j; printf \"\\n\"}\'"
% processor.LOG_FILE,
allow_fail=True))
def extract_highest_generation(self, found_generations):
return int(found_generations[-1])
def verify_metadata_no_upgraded_yet(self):
for p in self.processors:
found = list(
p.node.account.ssh_capture(
"grep \"Sent a version 4 subscription and group leader.s latest supported version is 5. Upgrading subscription metadata version to 5 for next rebalance.\" "
+ p.LOG_FILE,
allow_fail=True))
if len(found) > 0:
raise Exception(
"Kafka Streams failed with 'group member upgraded to metadata 4 too early'"
)
class StreamsUpgradeTest(Test):
"""
Test upgrading Kafka Streams (all version combination)
If metadata was changes, upgrade is more difficult
Metadata version was bumped in 0.10.1.0
"""
def __init__(self, test_context):
super(StreamsUpgradeTest, self).__init__(test_context)
self.topics = {
'echo': {
'partitions': 5
},
'data': {
'partitions': 5
},
}
self.leader = None
def perform_broker_upgrade(self, to_version):
self.logger.info("First pass bounce - rolling broker upgrade")
for node in self.kafka.nodes:
self.kafka.stop_node(node)
node.version = KafkaVersion(to_version)
self.kafka.start_node(node)
@cluster(num_nodes=6)
@matrix(from_version=broker_upgrade_versions,
to_version=broker_upgrade_versions)
def test_upgrade_downgrade_brokers(self, from_version, to_version):
"""
Start a smoke test client then perform rolling upgrades on the broker.
"""
if from_version == to_version:
return
self.replication = 3
self.partitions = 1
self.isr = 2
self.topics = {
'echo': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
},
'data': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
},
'min': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
},
'max': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
},
'sum': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
},
'dif': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
},
'cnt': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
},
'avg': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
},
'wcnt': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
},
'tagg': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
}
}
# Setup phase
self.zk = ZookeeperService(self.test_context, num_nodes=1)
self.zk.start()
# number of nodes needs to be >= 3 for the smoke test
self.kafka = KafkaService(self.test_context,
num_nodes=3,
zk=self.zk,
version=KafkaVersion(from_version),
topics=self.topics)
self.kafka.start()
# allow some time for topics to be created
time.sleep(10)
self.driver = StreamsSmokeTestDriverService(self.test_context,
self.kafka)
self.processor1 = StreamsSmokeTestJobRunnerService(
self.test_context, self.kafka)
self.driver.start()
self.processor1.start()
time.sleep(15)
self.perform_broker_upgrade(to_version)
time.sleep(15)
self.driver.wait()
self.driver.stop()
self.processor1.stop()
node = self.driver.node
node.account.ssh("grep ALL-RECORDS-DELIVERED %s" %
self.driver.STDOUT_FILE,
allow_fail=False)
self.processor1.node.account.ssh_capture(
"grep SMOKE-TEST-CLIENT-CLOSED %s" % self.processor1.STDOUT_FILE,
allow_fail=False)
@matrix(from_version=metadata_2_versions, to_version=metadata_2_versions)
def test_simple_upgrade_downgrade(self, from_version, to_version):
"""
Starts 3 KafkaStreams instances with <old_version>, and upgrades one-by-one to <new_version>
"""
if from_version == to_version:
return
self.zk = ZookeeperService(self.test_context, num_nodes=1)
self.zk.start()
self.kafka = KafkaService(self.test_context,
num_nodes=1,
zk=self.zk,
topics=self.topics)
self.kafka.start()
self.driver = StreamsSmokeTestDriverService(self.test_context,
self.kafka)
self.driver.disable_auto_terminate()
self.processor1 = StreamsUpgradeTestJobRunnerService(
self.test_context, self.kafka)
self.processor2 = StreamsUpgradeTestJobRunnerService(
self.test_context, self.kafka)
self.processor3 = StreamsUpgradeTestJobRunnerService(
self.test_context, self.kafka)
self.driver.start()
self.start_all_nodes_with(from_version)
self.processors = [self.processor1, self.processor2, self.processor3]
counter = 1
random.seed()
# upgrade one-by-one via rolling bounce
random.shuffle(self.processors)
for p in self.processors:
p.CLEAN_NODE_ENABLED = False
self.do_rolling_bounce(p, None, to_version, counter)
counter = counter + 1
# shutdown
self.driver.stop()
self.driver.wait()
random.shuffle(self.processors)
for p in self.processors:
node = p.node
with node.account.monitor_log(p.STDOUT_FILE) as monitor:
p.stop()
monitor.wait_until(
"UPGRADE-TEST-CLIENT-CLOSED",
timeout_sec=60,
err_msg="Never saw output 'UPGRADE-TEST-CLIENT-CLOSED' on"
+ str(node.account))
self.driver.stop()
#@matrix(from_version=metadata_1_versions, to_version=backward_compatible_metadata_2_versions)
@matrix(from_version=metadata_1_versions, to_version=metadata_3_versions)
@matrix(from_version=metadata_2_versions, to_version=metadata_3_versions)
def test_metadata_upgrade(self, from_version, to_version):
"""
Starts 3 KafkaStreams instances with version <from_version> and upgrades one-by-one to <to_version>
"""
self.zk = ZookeeperService(self.test_context, num_nodes=1)
self.zk.start()
self.kafka = KafkaService(self.test_context,
num_nodes=1,
zk=self.zk,
topics=self.topics)
self.kafka.start()
self.driver = StreamsSmokeTestDriverService(self.test_context,
self.kafka)
self.driver.disable_auto_terminate()
self.processor1 = StreamsUpgradeTestJobRunnerService(
self.test_context, self.kafka)
self.processor2 = StreamsUpgradeTestJobRunnerService(
self.test_context, self.kafka)
self.processor3 = StreamsUpgradeTestJobRunnerService(
self.test_context, self.kafka)
self.driver.start()
self.start_all_nodes_with(from_version)
self.processors = [self.processor1, self.processor2, self.processor3]
counter = 1
random.seed()
# first rolling bounce
random.shuffle(self.processors)
for p in self.processors:
p.CLEAN_NODE_ENABLED = False
self.do_rolling_bounce(p, from_version[:-2], to_version, counter)
counter = counter + 1
# second rolling bounce
random.shuffle(self.processors)
for p in self.processors:
self.do_rolling_bounce(p, None, to_version, counter)
counter = counter + 1
# shutdown
self.driver.stop()
self.driver.wait()
random.shuffle(self.processors)
for p in self.processors:
node = p.node
with node.account.monitor_log(p.STDOUT_FILE) as monitor:
p.stop()
monitor.wait_until(
"UPGRADE-TEST-CLIENT-CLOSED",
timeout_sec=60,
err_msg="Never saw output 'UPGRADE-TEST-CLIENT-CLOSED' on"
+ str(node.account))
self.driver.stop()
def start_all_nodes_with(self, version):
# start first with <version>
self.prepare_for(self.processor1, version)
node1 = self.processor1.node
with node1.account.monitor_log(self.processor1.STDOUT_FILE) as monitor:
with node1.account.monitor_log(
self.processor1.LOG_FILE) as log_monitor:
self.processor1.start()
log_monitor.wait_until(
"Kafka version : " + version,
timeout_sec=60,
err_msg="Could not detect Kafka Streams version " +
version + " " + str(node1.account))
monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on" +
str(node1.account))
# start second with <version>
self.prepare_for(self.processor2, version)
node2 = self.processor2.node
with node1.account.monitor_log(
self.processor1.STDOUT_FILE) as first_monitor:
with node2.account.monitor_log(
self.processor2.STDOUT_FILE) as second_monitor:
with node2.account.monitor_log(
self.processor2.LOG_FILE) as log_monitor:
self.processor2.start()
log_monitor.wait_until(
"Kafka version : " + version,
timeout_sec=60,
err_msg="Could not detect Kafka Streams version " +
version + " " + str(node2.account))
first_monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on"
+ str(node1.account))
second_monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on"
+ str(node2.account))
# start third with <version>
self.prepare_for(self.processor3, version)
node3 = self.processor3.node
with node1.account.monitor_log(
self.processor1.STDOUT_FILE) as first_monitor:
with node2.account.monitor_log(
self.processor2.STDOUT_FILE) as second_monitor:
with node3.account.monitor_log(
self.processor3.STDOUT_FILE) as third_monitor:
with node3.account.monitor_log(
self.processor3.LOG_FILE) as log_monitor:
self.processor3.start()
log_monitor.wait_until(
"Kafka version : " + version,
timeout_sec=60,
err_msg="Could not detect Kafka Streams version " +
version + " " + str(node3.account))
first_monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on"
+ str(node1.account))
second_monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on"
+ str(node2.account))
third_monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on"
+ str(node3.account))
@staticmethod
def prepare_for(processor, version):
processor.node.account.ssh("rm -rf " + processor.PERSISTENT_ROOT,
allow_fail=False)
if version == str(DEV_VERSION):
processor.set_version("") # set to TRUNK
else:
processor.set_version(version)
def do_rolling_bounce(self, processor, upgrade_from, new_version, counter):
first_other_processor = None
second_other_processor = None
for p in self.processors:
if p != processor:
if first_other_processor is None:
first_other_processor = p
else:
second_other_processor = p
node = processor.node
first_other_node = first_other_processor.node
second_other_node = second_other_processor.node
# stop processor and wait for rebalance of others
with first_other_node.account.monitor_log(
first_other_processor.STDOUT_FILE) as first_other_monitor:
with second_other_node.account.monitor_log(
second_other_processor.STDOUT_FILE
) as second_other_monitor:
processor.stop()
first_other_monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on" +
str(first_other_node.account))
second_other_monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on" +
str(second_other_node.account))
node.account.ssh_capture("grep UPGRADE-TEST-CLIENT-CLOSED %s" %
processor.STDOUT_FILE,
allow_fail=False)
if upgrade_from is None: # upgrade disabled -- second round of rolling bounces
roll_counter = ".1-" # second round of rolling bounces
else:
roll_counter = ".0-" # first round of rolling boundes
node.account.ssh("mv " + processor.STDOUT_FILE + " " +
processor.STDOUT_FILE + roll_counter + str(counter),
allow_fail=False)
node.account.ssh("mv " + processor.STDERR_FILE + " " +
processor.STDERR_FILE + roll_counter + str(counter),
allow_fail=False)
node.account.ssh("mv " + processor.LOG_FILE + " " +
processor.LOG_FILE + roll_counter + str(counter),
allow_fail=False)
if new_version == str(DEV_VERSION):
processor.set_version("") # set to TRUNK
else:
processor.set_version(new_version)
processor.set_upgrade_from(upgrade_from)
grep_metadata_error = "grep \"org.apache.kafka.streams.errors.TaskAssignmentException: unable to decode subscription data: version=2\" "
with node.account.monitor_log(processor.STDOUT_FILE) as monitor:
with node.account.monitor_log(processor.LOG_FILE) as log_monitor:
with first_other_node.account.monitor_log(
first_other_processor.STDOUT_FILE
) as first_other_monitor:
with second_other_node.account.monitor_log(
second_other_processor.STDOUT_FILE
) as second_other_monitor:
processor.start()
log_monitor.wait_until(
"Kafka version : " + new_version,
timeout_sec=60,
err_msg="Could not detect Kafka Streams version " +
new_version + " " + str(node.account))
first_other_monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on"
+ str(first_other_node.account))
found = list(
first_other_node.account.ssh_capture(
grep_metadata_error +
first_other_processor.STDERR_FILE,
allow_fail=True))
if len(found) > 0:
raise Exception(
"Kafka Streams failed with 'unable to decode subscription data: version=2'"
)
second_other_monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on"
+ str(second_other_node.account))
found = list(
second_other_node.account.ssh_capture(
grep_metadata_error +
second_other_processor.STDERR_FILE,
allow_fail=True))
if len(found) > 0:
raise Exception(
"Kafka Streams failed with 'unable to decode subscription data: version=2'"
)
monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on"
+ str(node.account))
class StreamsUpgradeTest(KafkaTest):
"""
Test upgrading Kafka Streams (all version combination)
If metadata was changes, upgrade is more difficult
Metadata version was bumped in 0.10.1.0
"""
def __init__(self, test_context):
super(StreamsUpgradeTest, self).__init__(test_context,
num_zk=1,
num_brokers=1,
topics={
'echo': {
'partitions': 5
},
'data': {
'partitions': 5
}
})
self.driver = StreamsSmokeTestDriverService(test_context, self.kafka)
self.driver.disable_auto_terminate()
self.processor1 = StreamsUpgradeTestJobRunnerService(
test_context, self.kafka)
self.processor2 = StreamsUpgradeTestJobRunnerService(
test_context, self.kafka)
self.processor3 = StreamsUpgradeTestJobRunnerService(
test_context, self.kafka)
@parametrize(old_version=str(LATEST_0_10_1),
new_version=str(LATEST_0_10_2))
@parametrize(old_version=str(LATEST_0_10_1), new_version=str(DEV_VERSION))
@parametrize(old_version=str(LATEST_0_10_2), new_version=str(DEV_VERSION))
def test_simple_upgrade(self, old_version, new_version):
"""
Starts 3 KafkaStreams instances with <old_version>, and upgrades one-by-one to <new_verion>
"""
self.driver.start()
self.start_all_nodes_with(old_version)
self.processors = [self.processor1, self.processor2, self.processor3]
counter = 1
random.seed()
random.shuffle(self.processors)
for p in self.processors:
p.CLEAN_NODE_ENABLED = False
self.do_rolling_bounce(p, "", new_version, counter)
counter = counter + 1
# shutdown
self.driver.stop()
self.driver.wait()
random.shuffle(self.processors)
for p in self.processors:
node = p.node
with node.account.monitor_log(p.STDOUT_FILE) as monitor:
p.stop()
monitor.wait_until(
"UPGRADE-TEST-CLIENT-CLOSED",
timeout_sec=60,
err_msg="Never saw output 'UPGRADE-TEST-CLIENT-CLOSED' on"
+ str(node.account))
self.driver.stop()
#@parametrize(new_version=str(LATEST_0_10_1)) we cannot run this test until Kafka 0.10.1.2 is released
#@parametrize(new_version=str(LATEST_0_10_2)) we cannot run this test until Kafka 0.10.2.2 is released
@parametrize(new_version=str(DEV_VERSION))
def test_metadata_upgrade(self, new_version):
"""
Starts 3 KafkaStreams instances with version 0.10.0, and upgrades one-by-one to <new_version>
"""
self.driver.start()
self.start_all_nodes_with(str(LATEST_0_10_0))
self.processors = [self.processor1, self.processor2, self.processor3]
counter = 1
random.seed()
# first rolling bounce
random.shuffle(self.processors)
for p in self.processors:
p.CLEAN_NODE_ENABLED = False
self.do_rolling_bounce(p, "0.10.0", new_version, counter)
counter = counter + 1
# second rolling bounce
random.shuffle(self.processors)
for p in self.processors:
self.do_rolling_bounce(p, "", new_version, counter)
counter = counter + 1
# shutdown
self.driver.stop()
self.driver.wait()
random.shuffle(self.processors)
for p in self.processors:
node = p.node
with node.account.monitor_log(p.STDOUT_FILE) as monitor:
p.stop()
monitor.wait_until(
"UPGRADE-TEST-CLIENT-CLOSED",
timeout_sec=60,
err_msg="Never saw output 'UPGRADE-TEST-CLIENT-CLOSED' on"
+ str(node.account))
self.driver.stop()
def start_all_nodes_with(self, version):
# start first with <version>
self.prepare_for(self.processor1, version)
node1 = self.processor1.node
with node1.account.monitor_log(self.processor1.STDOUT_FILE) as monitor:
with node1.account.monitor_log(
self.processor1.LOG_FILE) as log_monitor:
self.processor1.start()
log_monitor.wait_until(
"Kafka version : " + version,
timeout_sec=60,
err_msg="Could not detect Kafka Streams version " +
version + " " + str(node1.account))
monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on" +
str(node1.account))
# start second with <version>
self.prepare_for(self.processor2, version)
node2 = self.processor2.node
with node1.account.monitor_log(
self.processor1.STDOUT_FILE) as first_monitor:
with node2.account.monitor_log(
self.processor2.STDOUT_FILE) as second_monitor:
with node2.account.monitor_log(
self.processor2.LOG_FILE) as log_monitor:
self.processor2.start()
log_monitor.wait_until(
"Kafka version : " + version,
timeout_sec=60,
err_msg="Could not detect Kafka Streams version " +
version + " " + str(node2.account))
first_monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on"
+ str(node1.account))
second_monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on"
+ str(node2.account))
# start third with <version>
self.prepare_for(self.processor3, version)
node3 = self.processor3.node
with node1.account.monitor_log(
self.processor1.STDOUT_FILE) as first_monitor:
with node2.account.monitor_log(
self.processor2.STDOUT_FILE) as second_monitor:
with node3.account.monitor_log(
self.processor3.STDOUT_FILE) as third_monitor:
with node3.account.monitor_log(
self.processor3.LOG_FILE) as log_monitor:
self.processor3.start()
log_monitor.wait_until(
"Kafka version : " + version,
timeout_sec=60,
err_msg="Could not detect Kafka Streams version " +
version + " " + str(node3.account))
first_monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on"
+ str(node1.account))
second_monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on"
+ str(node2.account))
third_monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on"
+ str(node3.account))
@staticmethod
def prepare_for(processor, version):
processor.node.account.ssh("rm -rf " + processor.PERSISTENT_ROOT,
allow_fail=False)
processor.set_version(version)
def do_rolling_bounce(self, processor, upgrade_from, new_version, counter):
first_other_processor = None
second_other_processor = None
for p in self.processors:
if p != processor:
if first_other_processor is None:
first_other_processor = p
else:
second_other_processor = p
node = processor.node
first_other_node = first_other_processor.node
second_other_node = second_other_processor.node
# stop processor and wait for rebalance of others
with first_other_node.account.monitor_log(
first_other_processor.STDOUT_FILE) as first_other_monitor:
with second_other_node.account.monitor_log(
second_other_processor.STDOUT_FILE
) as second_other_monitor:
processor.stop()
first_other_monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on" +
str(first_other_node.account))
second_other_monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on" +
str(second_other_node.account))
node.account.ssh_capture("grep UPGRADE-TEST-CLIENT-CLOSED %s" %
processor.STDOUT_FILE,
allow_fail=False)
if upgrade_from == "": # upgrade disabled -- second round of rolling bounces
roll_counter = ".1-" # second round of rolling bounces
else:
roll_counter = ".0-" # first round of rolling boundes
node.account.ssh("mv " + processor.STDOUT_FILE + " " +
processor.STDOUT_FILE + roll_counter + str(counter),
allow_fail=False)
node.account.ssh("mv " + processor.STDERR_FILE + " " +
processor.STDERR_FILE + roll_counter + str(counter),
allow_fail=False)
node.account.ssh("mv " + processor.LOG_FILE + " " +
processor.LOG_FILE + roll_counter + str(counter),
allow_fail=False)
if new_version == str(DEV_VERSION):
processor.set_version("") # set to TRUNK
else:
processor.set_version(new_version)
processor.set_upgrade_from(upgrade_from)
grep_metadata_error = "grep \"org.apache.kafka.streams.errors.TaskAssignmentException: unable to decode subscription data: version=2\" "
with node.account.monitor_log(processor.STDOUT_FILE) as monitor:
with node.account.monitor_log(processor.LOG_FILE) as log_monitor:
with first_other_node.account.monitor_log(
first_other_processor.STDOUT_FILE
) as first_other_monitor:
with second_other_node.account.monitor_log(
second_other_processor.STDOUT_FILE
) as second_other_monitor:
processor.start()
log_monitor.wait_until(
"Kafka version : " + new_version,
timeout_sec=60,
err_msg="Could not detect Kafka Streams version " +
new_version + " " + str(node.account))
first_other_monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on"
+ str(first_other_node.account))
found = list(
first_other_node.account.ssh_capture(
grep_metadata_error +
first_other_processor.STDERR_FILE,
allow_fail=True))
if len(found) > 0:
raise Exception(
"Kafka Streams failed with 'unable to decode subscription data: version=2'"
)
second_other_monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on"
+ str(second_other_node.account))
found = list(
second_other_node.account.ssh_capture(
grep_metadata_error +
second_other_processor.STDERR_FILE,
allow_fail=True))
if len(found) > 0:
raise Exception(
"Kafka Streams failed with 'unable to decode subscription data: version=2'"
)
monitor.wait_until(
"processed 100 records from topic",
timeout_sec=60,
err_msg=
"Never saw output 'processed 100 records from topic' on"
+ str(node.account))
class StreamsUpgradeTest(Test):
"""
Tests rolling upgrades and downgrades of the Kafka Streams library.
"""
def __init__(self, test_context):
super(StreamsUpgradeTest, self).__init__(test_context)
self.replication = 3
self.partitions = 1
self.isr = 2
self.topics = {
'echo': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
},
'data': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
},
'min': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
},
'max': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
},
'sum': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
},
'dif': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
},
'cnt': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
},
'avg': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
},
'wcnt': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
},
'tagg': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": self.isr
}
}
}
def perform_streams_upgrade(self, to_version):
self.logger.info("First pass bounce - rolling streams upgrade")
# get the node running the streams app
node = self.processor1.node
self.processor1.stop()
# change it's version. This will automatically make it pick up a different
# JAR when it starts again
node.version = KafkaVersion(to_version)
self.processor1.start()
def perform_broker_upgrade(self, to_version):
self.logger.info("First pass bounce - rolling broker upgrade")
for node in self.kafka.nodes:
self.kafka.stop_node(node)
node.version = KafkaVersion(to_version)
self.kafka.start_node(node)
@cluster(num_nodes=6)
@parametrize(from_version=str(LATEST_0_10_1), to_version=str(DEV_BRANCH))
@parametrize(from_version=str(LATEST_0_10_2), to_version=str(DEV_BRANCH))
@parametrize(from_version=str(LATEST_0_10_1),
to_version=str(LATEST_0_11_0))
@parametrize(from_version=str(LATEST_0_10_2),
to_version=str(LATEST_0_11_0))
@parametrize(from_version=str(LATEST_0_11_0),
to_version=str(LATEST_0_10_2))
@parametrize(from_version=str(DEV_BRANCH), to_version=str(LATEST_0_10_2))
def test_upgrade_downgrade_streams(self, from_version, to_version):
"""
Start a smoke test client, then abort (kill -9) and restart it a few times.
Ensure that all records are delivered.
Note, that just like tests/core/upgrade_test.py, a prerequisite for this test to succeed
if the inclusion of all parametrized versions of kafka in kafka/vagrant/base.sh
(search for get_kafka()). For streams in particular, that means that someone has manually
copies the kafka-stream-$version-test.jar in the right S3 bucket as shown in base.sh.
"""
# Setup phase
self.zk = ZookeeperService(self.test_context, num_nodes=1)
self.zk.start()
# number of nodes needs to be >= 3 for the smoke test
self.kafka = KafkaService(self.test_context,
num_nodes=3,
zk=self.zk,
version=KafkaVersion(from_version),
topics=self.topics)
self.kafka.start()
# allow some time for topics to be created
time.sleep(10)
self.driver = StreamsSmokeTestDriverService(self.test_context,
self.kafka)
self.processor1 = StreamsSmokeTestJobRunnerService(
self.test_context, self.kafka)
self.driver.start()
self.processor1.start()
time.sleep(15)
self.perform_streams_upgrade(to_version)
time.sleep(15)
self.driver.wait()
self.driver.stop()
self.processor1.stop()
node = self.driver.node
node.account.ssh("grep ALL-RECORDS-DELIVERED %s" %
self.driver.STDOUT_FILE,
allow_fail=False)
self.processor1.node.account.ssh_capture(
"grep SMOKE-TEST-CLIENT-CLOSED %s" % self.processor1.STDOUT_FILE,
allow_fail=False)
@cluster(num_nodes=6)
@parametrize(from_version=str(LATEST_0_10_2), to_version=str(DEV_BRANCH))
def test_upgrade_brokers(self, from_version, to_version):
"""
Start a smoke test client then perform rolling upgrades on the broker.
"""
# Setup phase
self.zk = ZookeeperService(self.test_context, num_nodes=1)
self.zk.start()
# number of nodes needs to be >= 3 for the smoke test
self.kafka = KafkaService(self.test_context,
num_nodes=3,
zk=self.zk,
version=KafkaVersion(from_version),
topics=self.topics)
self.kafka.start()
# allow some time for topics to be created
time.sleep(10)
self.driver = StreamsSmokeTestDriverService(self.test_context,
self.kafka)
self.processor1 = StreamsSmokeTestJobRunnerService(
self.test_context, self.kafka)
self.driver.start()
self.processor1.start()
time.sleep(15)
self.perform_broker_upgrade(to_version)
time.sleep(15)
self.driver.wait()
self.driver.stop()
self.processor1.stop()
node = self.driver.node
node.account.ssh("grep ALL-RECORDS-DELIVERED %s" %
self.driver.STDOUT_FILE,
allow_fail=False)
self.processor1.node.account.ssh_capture(
"grep SMOKE-TEST-CLIENT-CLOSED %s" % self.processor1.STDOUT_FILE,
allow_fail=False)
class StreamsUpgradeTest(Test):
"""
Test upgrading Kafka Streams (all version combination)
If metadata was changes, upgrade is more difficult
Metadata version was bumped in 0.10.1.0
"""
def __init__(self, test_context):
super(StreamsUpgradeTest, self).__init__(test_context)
self.topics = {
'echo' : { 'partitions': 5 },
'data' : { 'partitions': 5 },
}
self.leader = None
def perform_broker_upgrade(self, to_version):
self.logger.info("First pass bounce - rolling broker upgrade")
for node in self.kafka.nodes:
self.kafka.stop_node(node)
node.version = KafkaVersion(to_version)
self.kafka.start_node(node)
@ignore
@cluster(num_nodes=6)
@matrix(from_version=broker_upgrade_versions, to_version=broker_upgrade_versions)
def test_upgrade_downgrade_brokers(self, from_version, to_version):
"""
Start a smoke test client then perform rolling upgrades on the broker.
"""
if from_version == to_version:
return
self.replication = 3
self.partitions = 1
self.isr = 2
self.topics = {
'echo' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": self.isr}},
'data' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": self.isr} },
'min' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": self.isr} },
'max' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": self.isr} },
'sum' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": self.isr} },
'dif' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": self.isr} },
'cnt' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": self.isr} },
'avg' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": self.isr} },
'wcnt' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": self.isr} },
'tagg' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": self.isr} }
}
# Setup phase
self.zk = ZookeeperService(self.test_context, num_nodes=1)
self.zk.start()
# number of nodes needs to be >= 3 for the smoke test
self.kafka = KafkaService(self.test_context, num_nodes=3,
zk=self.zk, version=KafkaVersion(from_version), topics=self.topics)
self.kafka.start()
# allow some time for topics to be created
time.sleep(10)
self.driver = StreamsSmokeTestDriverService(self.test_context, self.kafka)
self.processor1 = StreamsSmokeTestJobRunnerService(self.test_context, self.kafka)
self.driver.start()
self.processor1.start()
time.sleep(15)
self.perform_broker_upgrade(to_version)
time.sleep(15)
self.driver.wait()
self.driver.stop()
self.processor1.stop()
node = self.driver.node
node.account.ssh("grep ALL-RECORDS-DELIVERED %s" % self.driver.STDOUT_FILE, allow_fail=False)
self.processor1.node.account.ssh_capture("grep SMOKE-TEST-CLIENT-CLOSED %s" % self.processor1.STDOUT_FILE, allow_fail=False)
@ignore
@matrix(from_version=metadata_2_versions, to_version=metadata_2_versions)
def test_simple_upgrade_downgrade(self, from_version, to_version):
"""
Starts 3 KafkaStreams instances with <old_version>, and upgrades one-by-one to <new_version>
"""
if from_version == to_version:
return
self.zk = ZookeeperService(self.test_context, num_nodes=1)
self.zk.start()
self.kafka = KafkaService(self.test_context, num_nodes=1, zk=self.zk, topics=self.topics)
self.kafka.start()
self.driver = StreamsSmokeTestDriverService(self.test_context, self.kafka)
self.driver.disable_auto_terminate()
self.processor1 = StreamsUpgradeTestJobRunnerService(self.test_context, self.kafka)
self.processor2 = StreamsUpgradeTestJobRunnerService(self.test_context, self.kafka)
self.processor3 = StreamsUpgradeTestJobRunnerService(self.test_context, self.kafka)
self.driver.start()
self.start_all_nodes_with(from_version)
self.processors = [self.processor1, self.processor2, self.processor3]
counter = 1
random.seed()
# upgrade one-by-one via rolling bounce
random.shuffle(self.processors)
for p in self.processors:
p.CLEAN_NODE_ENABLED = False
self.do_rolling_bounce(p, None, to_version, counter)
counter = counter + 1
# shutdown
self.driver.stop()
self.driver.wait()
random.shuffle(self.processors)
for p in self.processors:
node = p.node
with node.account.monitor_log(p.STDOUT_FILE) as monitor:
p.stop()
monitor.wait_until("UPGRADE-TEST-CLIENT-CLOSED",
timeout_sec=60,
err_msg="Never saw output 'UPGRADE-TEST-CLIENT-CLOSED' on" + str(node.account))
self.driver.stop()
#@matrix(from_version=metadata_1_versions, to_version=backward_compatible_metadata_2_versions)
@ignore
@matrix(from_version=metadata_1_versions, to_version=metadata_3_versions)
@matrix(from_version=metadata_2_versions, to_version=metadata_3_versions)
def test_metadata_upgrade(self, from_version, to_version):
"""
Starts 3 KafkaStreams instances with version <from_version> and upgrades one-by-one to <to_version>
"""
self.zk = ZookeeperService(self.test_context, num_nodes=1)
self.zk.start()
self.kafka = KafkaService(self.test_context, num_nodes=1, zk=self.zk, topics=self.topics)
self.kafka.start()
self.driver = StreamsSmokeTestDriverService(self.test_context, self.kafka)
self.driver.disable_auto_terminate()
self.processor1 = StreamsUpgradeTestJobRunnerService(self.test_context, self.kafka)
self.processor2 = StreamsUpgradeTestJobRunnerService(self.test_context, self.kafka)
self.processor3 = StreamsUpgradeTestJobRunnerService(self.test_context, self.kafka)
self.driver.start()
self.start_all_nodes_with(from_version)
self.processors = [self.processor1, self.processor2, self.processor3]
counter = 1
random.seed()
# first rolling bounce
random.shuffle(self.processors)
for p in self.processors:
p.CLEAN_NODE_ENABLED = False
self.do_rolling_bounce(p, from_version[:-2], to_version, counter)
counter = counter + 1
# second rolling bounce
random.shuffle(self.processors)
for p in self.processors:
self.do_rolling_bounce(p, None, to_version, counter)
counter = counter + 1
# shutdown
self.driver.stop()
self.driver.wait()
random.shuffle(self.processors)
for p in self.processors:
node = p.node
with node.account.monitor_log(p.STDOUT_FILE) as monitor:
p.stop()
monitor.wait_until("UPGRADE-TEST-CLIENT-CLOSED",
timeout_sec=60,
err_msg="Never saw output 'UPGRADE-TEST-CLIENT-CLOSED' on" + str(node.account))
self.driver.stop()
def start_all_nodes_with(self, version):
# start first with <version>
self.prepare_for(self.processor1, version)
node1 = self.processor1.node
with node1.account.monitor_log(self.processor1.STDOUT_FILE) as monitor:
with node1.account.monitor_log(self.processor1.LOG_FILE) as log_monitor:
self.processor1.start()
log_monitor.wait_until("Kafka version : " + version,
timeout_sec=60,
err_msg="Could not detect Kafka Streams version " + version + " " + str(node1.account))
monitor.wait_until("processed 100 records from topic",
timeout_sec=60,
err_msg="Never saw output 'processed 100 records from topic' on" + str(node1.account))
# start second with <version>
self.prepare_for(self.processor2, version)
node2 = self.processor2.node
with node1.account.monitor_log(self.processor1.STDOUT_FILE) as first_monitor:
with node2.account.monitor_log(self.processor2.STDOUT_FILE) as second_monitor:
with node2.account.monitor_log(self.processor2.LOG_FILE) as log_monitor:
self.processor2.start()
log_monitor.wait_until("Kafka version : " + version,
timeout_sec=60,
err_msg="Could not detect Kafka Streams version " + version + " " + str(node2.account))
first_monitor.wait_until("processed 100 records from topic",
timeout_sec=60,
err_msg="Never saw output 'processed 100 records from topic' on" + str(node1.account))
second_monitor.wait_until("processed 100 records from topic",
timeout_sec=60,
err_msg="Never saw output 'processed 100 records from topic' on" + str(node2.account))
# start third with <version>
self.prepare_for(self.processor3, version)
node3 = self.processor3.node
with node1.account.monitor_log(self.processor1.STDOUT_FILE) as first_monitor:
with node2.account.monitor_log(self.processor2.STDOUT_FILE) as second_monitor:
with node3.account.monitor_log(self.processor3.STDOUT_FILE) as third_monitor:
with node3.account.monitor_log(self.processor3.LOG_FILE) as log_monitor:
self.processor3.start()
log_monitor.wait_until("Kafka version : " + version,
timeout_sec=60,
err_msg="Could not detect Kafka Streams version " + version + " " + str(node3.account))
first_monitor.wait_until("processed 100 records from topic",
timeout_sec=60,
err_msg="Never saw output 'processed 100 records from topic' on" + str(node1.account))
second_monitor.wait_until("processed 100 records from topic",
timeout_sec=60,
err_msg="Never saw output 'processed 100 records from topic' on" + str(node2.account))
third_monitor.wait_until("processed 100 records from topic",
timeout_sec=60,
err_msg="Never saw output 'processed 100 records from topic' on" + str(node3.account))
@staticmethod
def prepare_for(processor, version):
processor.node.account.ssh("rm -rf " + processor.PERSISTENT_ROOT, allow_fail=False)
if version == str(DEV_VERSION):
processor.set_version("") # set to TRUNK
else:
processor.set_version(version)
def do_rolling_bounce(self, processor, upgrade_from, new_version, counter):
first_other_processor = None
second_other_processor = None
for p in self.processors:
if p != processor:
if first_other_processor is None:
first_other_processor = p
else:
second_other_processor = p
node = processor.node
first_other_node = first_other_processor.node
second_other_node = second_other_processor.node
# stop processor and wait for rebalance of others
with first_other_node.account.monitor_log(first_other_processor.STDOUT_FILE) as first_other_monitor:
with second_other_node.account.monitor_log(second_other_processor.STDOUT_FILE) as second_other_monitor:
processor.stop()
first_other_monitor.wait_until("processed 100 records from topic",
timeout_sec=60,
err_msg="Never saw output 'processed 100 records from topic' on" + str(first_other_node.account))
second_other_monitor.wait_until("processed 100 records from topic",
timeout_sec=60,
err_msg="Never saw output 'processed 100 records from topic' on" + str(second_other_node.account))
node.account.ssh_capture("grep UPGRADE-TEST-CLIENT-CLOSED %s" % processor.STDOUT_FILE, allow_fail=False)
if upgrade_from is None: # upgrade disabled -- second round of rolling bounces
roll_counter = ".1-" # second round of rolling bounces
else:
roll_counter = ".0-" # first round of rolling boundes
node.account.ssh("mv " + processor.STDOUT_FILE + " " + processor.STDOUT_FILE + roll_counter + str(counter), allow_fail=False)
node.account.ssh("mv " + processor.STDERR_FILE + " " + processor.STDERR_FILE + roll_counter + str(counter), allow_fail=False)
node.account.ssh("mv " + processor.LOG_FILE + " " + processor.LOG_FILE + roll_counter + str(counter), allow_fail=False)
if new_version == str(DEV_VERSION):
processor.set_version("") # set to TRUNK
else:
processor.set_version(new_version)
processor.set_upgrade_from(upgrade_from)
grep_metadata_error = "grep \"org.apache.kafka.streams.errors.TaskAssignmentException: unable to decode subscription data: version=2\" "
with node.account.monitor_log(processor.STDOUT_FILE) as monitor:
with node.account.monitor_log(processor.LOG_FILE) as log_monitor:
with first_other_node.account.monitor_log(first_other_processor.STDOUT_FILE) as first_other_monitor:
with second_other_node.account.monitor_log(second_other_processor.STDOUT_FILE) as second_other_monitor:
processor.start()
log_monitor.wait_until("Kafka version : " + new_version,
timeout_sec=60,
err_msg="Could not detect Kafka Streams version " + new_version + " " + str(node.account))
first_other_monitor.wait_until("processed 100 records from topic",
timeout_sec=60,
err_msg="Never saw output 'processed 100 records from topic' on" + str(first_other_node.account))
found = list(first_other_node.account.ssh_capture(grep_metadata_error + first_other_processor.STDERR_FILE, allow_fail=True))
if len(found) > 0:
raise Exception("Kafka Streams failed with 'unable to decode subscription data: version=2'")
second_other_monitor.wait_until("processed 100 records from topic",
timeout_sec=60,
err_msg="Never saw output 'processed 100 records from topic' on" + str(second_other_node.account))
found = list(second_other_node.account.ssh_capture(grep_metadata_error + second_other_processor.STDERR_FILE, allow_fail=True))
if len(found) > 0:
raise Exception("Kafka Streams failed with 'unable to decode subscription data: version=2'")
monitor.wait_until("processed 100 records from topic",
timeout_sec=60,
err_msg="Never saw output 'processed 100 records from topic' on" + str(node.account))
class StreamsUpgradeTest(Test):
"""
Test upgrading Kafka Streams (all version combination)
If metadata was changes, upgrade is more difficult
Metadata version was bumped in 0.10.1.0
"""
def __init__(self, test_context):
super(StreamsUpgradeTest, self).__init__(test_context)
self.topics = {
'echo' : { 'partitions': 5 },
'data' : { 'partitions': 5 },
}
self.leader = None
self.leader_counter = {}
def perform_broker_upgrade(self, to_version):
self.logger.info("First pass bounce - rolling broker upgrade")
for node in self.kafka.nodes:
self.kafka.stop_node(node)
node.version = KafkaVersion(to_version)
self.kafka.start_node(node)
@ignore
@cluster(num_nodes=6)
@matrix(from_version=broker_upgrade_versions, to_version=broker_upgrade_versions)
def test_upgrade_downgrade_brokers(self, from_version, to_version):
"""
Start a smoke test client then perform rolling upgrades on the broker.
"""
if from_version == to_version:
return
self.replication = 3
self.partitions = 1
self.isr = 2
self.topics = {
'echo' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": self.isr}},
'data' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": self.isr} },
'min' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": self.isr} },
'max' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": self.isr} },
'sum' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": self.isr} },
'dif' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": self.isr} },
'cnt' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": self.isr} },
'avg' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": self.isr} },
'wcnt' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": self.isr} },
'tagg' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": self.isr} }
}
# Setup phase
self.zk = ZookeeperService(self.test_context, num_nodes=1)
self.zk.start()
# number of nodes needs to be >= 3 for the smoke test
self.kafka = KafkaService(self.test_context, num_nodes=3,
zk=self.zk, version=KafkaVersion(from_version), topics=self.topics)
self.kafka.start()
# allow some time for topics to be created
time.sleep(10)
self.driver = StreamsSmokeTestDriverService(self.test_context, self.kafka)
self.processor1 = StreamsSmokeTestJobRunnerService(self.test_context, self.kafka)
self.driver.start()
self.processor1.start()
time.sleep(15)
self.perform_broker_upgrade(to_version)
time.sleep(15)
self.driver.wait()
self.driver.stop()
self.processor1.stop()
node = self.driver.node
node.account.ssh("grep ALL-RECORDS-DELIVERED %s" % self.driver.STDOUT_FILE, allow_fail=False)
self.processor1.node.account.ssh_capture("grep SMOKE-TEST-CLIENT-CLOSED %s" % self.processor1.STDOUT_FILE, allow_fail=False)
@matrix(from_version=metadata_2_versions, to_version=metadata_2_versions)
def test_simple_upgrade_downgrade(self, from_version, to_version):
"""
Starts 3 KafkaStreams instances with <old_version>, and upgrades one-by-one to <new_version>
"""
if from_version == to_version:
return
self.zk = ZookeeperService(self.test_context, num_nodes=1)
self.zk.start()
self.kafka = KafkaService(self.test_context, num_nodes=1, zk=self.zk, topics=self.topics)
self.kafka.start()
self.driver = StreamsSmokeTestDriverService(self.test_context, self.kafka)
self.driver.disable_auto_terminate()
self.processor1 = StreamsUpgradeTestJobRunnerService(self.test_context, self.kafka)
self.processor2 = StreamsUpgradeTestJobRunnerService(self.test_context, self.kafka)
self.processor3 = StreamsUpgradeTestJobRunnerService(self.test_context, self.kafka)
self.driver.start()
self.start_all_nodes_with(from_version)
self.processors = [self.processor1, self.processor2, self.processor3]
counter = 1
random.seed()
# upgrade one-by-one via rolling bounce
random.shuffle(self.processors)
for p in self.processors:
p.CLEAN_NODE_ENABLED = False
self.do_stop_start_bounce(p, None, to_version, counter)
counter = counter + 1
# shutdown
self.driver.stop()
self.driver.wait()
random.shuffle(self.processors)
for p in self.processors:
node = p.node
with node.account.monitor_log(p.STDOUT_FILE) as monitor:
p.stop()
monitor.wait_until("UPGRADE-TEST-CLIENT-CLOSED",
timeout_sec=60,
err_msg="Never saw output 'UPGRADE-TEST-CLIENT-CLOSED' on" + str(node.account))
self.driver.stop()
@matrix(from_version=metadata_1_versions, to_version=backward_compatible_metadata_2_versions)
@matrix(from_version=metadata_1_versions, to_version=metadata_3_or_higher_versions)
@matrix(from_version=metadata_2_versions, to_version=metadata_3_or_higher_versions)
def test_metadata_upgrade(self, from_version, to_version):
"""
Starts 3 KafkaStreams instances with version <from_version> and upgrades one-by-one to <to_version>
"""
self.zk = ZookeeperService(self.test_context, num_nodes=1)
self.zk.start()
self.kafka = KafkaService(self.test_context, num_nodes=1, zk=self.zk, topics=self.topics)
self.kafka.start()
self.driver = StreamsSmokeTestDriverService(self.test_context, self.kafka)
self.driver.disable_auto_terminate()
self.processor1 = StreamsUpgradeTestJobRunnerService(self.test_context, self.kafka)
self.processor2 = StreamsUpgradeTestJobRunnerService(self.test_context, self.kafka)
self.processor3 = StreamsUpgradeTestJobRunnerService(self.test_context, self.kafka)
self.driver.start()
self.start_all_nodes_with(from_version)
self.processors = [self.processor1, self.processor2, self.processor3]
counter = 1
random.seed()
# first rolling bounce
random.shuffle(self.processors)
for p in self.processors:
p.CLEAN_NODE_ENABLED = False
self.do_stop_start_bounce(p, from_version[:-2], to_version, counter)
counter = counter + 1
# second rolling bounce
random.shuffle(self.processors)
for p in self.processors:
self.do_stop_start_bounce(p, None, to_version, counter)
counter = counter + 1
# shutdown
self.driver.stop()
self.driver.wait()
random.shuffle(self.processors)
for p in self.processors:
node = p.node
with node.account.monitor_log(p.STDOUT_FILE) as monitor:
p.stop()
monitor.wait_until("UPGRADE-TEST-CLIENT-CLOSED",
timeout_sec=60,
err_msg="Never saw output 'UPGRADE-TEST-CLIENT-CLOSED' on" + str(node.account))
self.driver.stop()
def test_version_probing_upgrade(self):
"""
Starts 3 KafkaStreams instances, and upgrades one-by-one to "future version"
"""
self.zk = ZookeeperService(self.test_context, num_nodes=1)
self.zk.start()
self.kafka = KafkaService(self.test_context, num_nodes=1, zk=self.zk, topics=self.topics)
self.kafka.start()
self.driver = StreamsSmokeTestDriverService(self.test_context, self.kafka)
self.driver.disable_auto_terminate()
self.processor1 = StreamsUpgradeTestJobRunnerService(self.test_context, self.kafka)
self.processor2 = StreamsUpgradeTestJobRunnerService(self.test_context, self.kafka)
self.processor3 = StreamsUpgradeTestJobRunnerService(self.test_context, self.kafka)
self.driver.start()
self.start_all_nodes_with("") # run with TRUNK
self.processors = [self.processor1, self.processor2, self.processor3]
self.old_processors = [self.processor1, self.processor2, self.processor3]
self.upgraded_processors = []
for p in self.processors:
self.leader_counter[p] = 2
self.update_leader()
for p in self.processors:
self.leader_counter[p] = 0
self.leader_counter[self.leader] = 3
counter = 1
current_generation = 3
random.seed()
random.shuffle(self.processors)
for p in self.processors:
p.CLEAN_NODE_ENABLED = False
current_generation = self.do_rolling_bounce(p, counter, current_generation)
counter = counter + 1
# shutdown
self.driver.stop()
self.driver.wait()
random.shuffle(self.processors)
for p in self.processors:
node = p.node
with node.account.monitor_log(p.STDOUT_FILE) as monitor:
p.stop()
monitor.wait_until("UPGRADE-TEST-CLIENT-CLOSED",
timeout_sec=60,
err_msg="Never saw output 'UPGRADE-TEST-CLIENT-CLOSED' on" + str(node.account))
self.driver.stop()
def update_leader(self):
self.leader = None
retries = 10
while retries > 0:
for p in self.processors:
found = list(p.node.account.ssh_capture("grep \"Finished assignment for group\" %s" % p.LOG_FILE, allow_fail=True))
if len(found) == self.leader_counter[p] + 1:
if self.leader is not None:
raise Exception("Could not uniquely identify leader")
self.leader = p
self.leader_counter[p] = self.leader_counter[p] + 1
if self.leader is None:
retries = retries - 1
time.sleep(5)
else:
break
if self.leader is None:
raise Exception("Could not identify leader")
def start_all_nodes_with(self, version):
# start first with <version>
self.prepare_for(self.processor1, version)
node1 = self.processor1.node
with node1.account.monitor_log(self.processor1.STDOUT_FILE) as monitor:
with node1.account.monitor_log(self.processor1.LOG_FILE) as log_monitor:
self.processor1.start()
log_monitor.wait_until("Kafka version : " + version,
timeout_sec=60,
err_msg="Could not detect Kafka Streams version " + version + " " + str(node1.account))
monitor.wait_until("processed 100 records from topic",
timeout_sec=60,
err_msg="Never saw output 'processed 100 records from topic' on" + str(node1.account))
# start second with <version>
self.prepare_for(self.processor2, version)
node2 = self.processor2.node
with node1.account.monitor_log(self.processor1.STDOUT_FILE) as first_monitor:
with node2.account.monitor_log(self.processor2.STDOUT_FILE) as second_monitor:
with node2.account.monitor_log(self.processor2.LOG_FILE) as log_monitor:
self.processor2.start()
log_monitor.wait_until("Kafka version : " + version,
timeout_sec=60,
err_msg="Could not detect Kafka Streams version " + version + " " + str(node2.account))
first_monitor.wait_until("processed 100 records from topic",
timeout_sec=60,
err_msg="Never saw output 'processed 100 records from topic' on" + str(node1.account))
second_monitor.wait_until("processed 100 records from topic",
timeout_sec=60,
err_msg="Never saw output 'processed 100 records from topic' on" + str(node2.account))
# start third with <version>
self.prepare_for(self.processor3, version)
node3 = self.processor3.node
with node1.account.monitor_log(self.processor1.STDOUT_FILE) as first_monitor:
with node2.account.monitor_log(self.processor2.STDOUT_FILE) as second_monitor:
with node3.account.monitor_log(self.processor3.STDOUT_FILE) as third_monitor:
with node3.account.monitor_log(self.processor3.LOG_FILE) as log_monitor:
self.processor3.start()
log_monitor.wait_until("Kafka version : " + version,
timeout_sec=60,
err_msg="Could not detect Kafka Streams version " + version + " " + str(node3.account))
first_monitor.wait_until("processed 100 records from topic",
timeout_sec=60,
err_msg="Never saw output 'processed 100 records from topic' on" + str(node1.account))
second_monitor.wait_until("processed 100 records from topic",
timeout_sec=60,
err_msg="Never saw output 'processed 100 records from topic' on" + str(node2.account))
third_monitor.wait_until("processed 100 records from topic",
timeout_sec=60,
err_msg="Never saw output 'processed 100 records from topic' on" + str(node3.account))
@staticmethod
def prepare_for(processor, version):
processor.node.account.ssh("rm -rf " + processor.PERSISTENT_ROOT, allow_fail=False)
if version == str(DEV_VERSION):
processor.set_version("") # set to TRUNK
else:
processor.set_version(version)
def do_stop_start_bounce(self, processor, upgrade_from, new_version, counter):
first_other_processor = None
second_other_processor = None
for p in self.processors:
if p != processor:
if first_other_processor is None:
first_other_processor = p
else:
second_other_processor = p
node = processor.node
first_other_node = first_other_processor.node
second_other_node = second_other_processor.node
# stop processor and wait for rebalance of others
with first_other_node.account.monitor_log(first_other_processor.STDOUT_FILE) as first_other_monitor:
with second_other_node.account.monitor_log(second_other_processor.STDOUT_FILE) as second_other_monitor:
processor.stop()
first_other_monitor.wait_until("processed 100 records from topic",
timeout_sec=60,
err_msg="Never saw output 'processed 100 records from topic' on" + str(first_other_node.account))
second_other_monitor.wait_until("processed 100 records from topic",
timeout_sec=60,
err_msg="Never saw output 'processed 100 records from topic' on" + str(second_other_node.account))
node.account.ssh_capture("grep UPGRADE-TEST-CLIENT-CLOSED %s" % processor.STDOUT_FILE, allow_fail=False)
if upgrade_from is None: # upgrade disabled -- second round of rolling bounces
roll_counter = ".1-" # second round of rolling bounces
else:
roll_counter = ".0-" # first round of rolling boundes
node.account.ssh("mv " + processor.STDOUT_FILE + " " + processor.STDOUT_FILE + roll_counter + str(counter), allow_fail=False)
node.account.ssh("mv " + processor.STDERR_FILE + " " + processor.STDERR_FILE + roll_counter + str(counter), allow_fail=False)
node.account.ssh("mv " + processor.LOG_FILE + " " + processor.LOG_FILE + roll_counter + str(counter), allow_fail=False)
if new_version == str(DEV_VERSION):
processor.set_version("") # set to TRUNK
else:
processor.set_version(new_version)
processor.set_upgrade_from(upgrade_from)
grep_metadata_error = "grep \"org.apache.kafka.streams.errors.TaskAssignmentException: unable to decode subscription data: version=2\" "
with node.account.monitor_log(processor.STDOUT_FILE) as monitor:
with node.account.monitor_log(processor.LOG_FILE) as log_monitor:
with first_other_node.account.monitor_log(first_other_processor.STDOUT_FILE) as first_other_monitor:
with second_other_node.account.monitor_log(second_other_processor.STDOUT_FILE) as second_other_monitor:
processor.start()
log_monitor.wait_until("Kafka version : " + new_version,
timeout_sec=60,
err_msg="Could not detect Kafka Streams version " + new_version + " " + str(node.account))
first_other_monitor.wait_until("processed 100 records from topic",
timeout_sec=60,
err_msg="Never saw output 'processed 100 records from topic' on" + str(first_other_node.account))
found = list(first_other_node.account.ssh_capture(grep_metadata_error + first_other_processor.STDERR_FILE, allow_fail=True))
if len(found) > 0:
raise Exception("Kafka Streams failed with 'unable to decode subscription data: version=2'")
second_other_monitor.wait_until("processed 100 records from topic",
timeout_sec=60,
err_msg="Never saw output 'processed 100 records from topic' on" + str(second_other_node.account))
found = list(second_other_node.account.ssh_capture(grep_metadata_error + second_other_processor.STDERR_FILE, allow_fail=True))
if len(found) > 0:
raise Exception("Kafka Streams failed with 'unable to decode subscription data: version=2'")
monitor.wait_until("processed 100 records from topic",
timeout_sec=60,
err_msg="Never saw output 'processed 100 records from topic' on" + str(node.account))
def do_rolling_bounce(self, processor, counter, current_generation):
first_other_processor = None
second_other_processor = None
for p in self.processors:
if p != processor:
if first_other_processor is None:
first_other_processor = p
else:
second_other_processor = p
node = processor.node
first_other_node = first_other_processor.node
second_other_node = second_other_processor.node
with first_other_node.account.monitor_log(first_other_processor.LOG_FILE) as first_other_monitor:
with second_other_node.account.monitor_log(second_other_processor.LOG_FILE) as second_other_monitor:
# stop processor
processor.stop()
node.account.ssh_capture("grep UPGRADE-TEST-CLIENT-CLOSED %s" % processor.STDOUT_FILE, allow_fail=False)
node.account.ssh("mv " + processor.STDOUT_FILE + " " + processor.STDOUT_FILE + "." + str(counter), allow_fail=False)
node.account.ssh("mv " + processor.STDERR_FILE + " " + processor.STDERR_FILE + "." + str(counter), allow_fail=False)
node.account.ssh("mv " + processor.LOG_FILE + " " + processor.LOG_FILE + "." + str(counter), allow_fail=False)
self.leader_counter[processor] = 0
with node.account.monitor_log(processor.LOG_FILE) as log_monitor:
processor.set_upgrade_to("future_version")
processor.start()
self.old_processors.remove(processor)
self.upgraded_processors.append(processor)
current_generation = current_generation + 1
log_monitor.wait_until("Kafka version : " + str(DEV_VERSION),
timeout_sec=60,
err_msg="Could not detect Kafka Streams version " + str(DEV_VERSION) + " in " + str(node.account))
log_monitor.offset = 5
log_monitor.wait_until("partition\.assignment\.strategy = \[org\.apache\.kafka\.streams\.tests\.StreamsUpgradeTest$FutureStreamsPartitionAssignor\]",
timeout_sec=60,
err_msg="Could not detect FutureStreamsPartitionAssignor in " + str(node.account))
log_monitor.wait_until("Successfully joined group with generation " + str(current_generation),
timeout_sec=60,
err_msg="Never saw output 'Successfully joined group with generation " + str(current_generation) + "' on" + str(node.account))
first_other_monitor.wait_until("Successfully joined group with generation " + str(current_generation),
timeout_sec=60,
err_msg="Never saw output 'Successfully joined group with generation " + str(current_generation) + "' on" + str(first_other_node.account))
second_other_monitor.wait_until("Successfully joined group with generation " + str(current_generation),
timeout_sec=60,
err_msg="Never saw output 'Successfully joined group with generation " + str(current_generation) + "' on" + str(second_other_node.account))
if processor == self.leader:
self.update_leader()
else:
self.leader_counter[self.leader] = self.leader_counter[self.leader] + 1
if processor == self.leader:
leader_monitor = log_monitor
elif first_other_processor == self.leader:
leader_monitor = first_other_monitor
elif second_other_processor == self.leader:
leader_monitor = second_other_monitor
else:
raise Exception("Could not identify leader.")
monitors = {}
monitors[processor] = log_monitor
monitors[first_other_processor] = first_other_monitor
monitors[second_other_processor] = second_other_monitor
leader_monitor.wait_until("Received a future (version probing) subscription (version: 5). Sending empty assignment back (with supported version 4).",
timeout_sec=60,
err_msg="Could not detect 'version probing' attempt at leader " + str(self.leader.node.account))
if len(self.old_processors) > 0:
log_monitor.wait_until("Sent a version 5 subscription and got version 4 assignment back (successful version probing). Downgrading subscription metadata to received version and trigger new rebalance.",
timeout_sec=60,
err_msg="Could not detect 'successful version probing' at upgrading node " + str(node.account))
else:
log_monitor.wait_until("Sent a version 5 subscription and got version 4 assignment back (successful version probing). Setting subscription metadata to leaders supported version 5 and trigger new rebalance.",
timeout_sec=60,
err_msg="Could not detect 'successful version probing with upgraded leader' at upgrading node " + str(node.account))
first_other_monitor.wait_until("Sent a version 4 subscription and group leader.s latest supported version is 5. Upgrading subscription metadata version to 5 for next rebalance.",
timeout_sec=60,
err_msg="Never saw output 'Upgrade metadata to version 4' on" + str(first_other_node.account))
second_other_monitor.wait_until("Sent a version 4 subscription and group leader.s latest supported version is 5. Upgrading subscription metadata version to 5 for next rebalance.",
timeout_sec=60,
err_msg="Never saw output 'Upgrade metadata to version 4' on" + str(second_other_node.account))
log_monitor.wait_until("Version probing detected. Triggering new rebalance.",
timeout_sec=60,
err_msg="Could not detect 'Triggering new rebalance' at upgrading node " + str(node.account))
# version probing should trigger second rebalance
current_generation = current_generation + 1
for p in self.processors:
monitors[p].wait_until("Successfully joined group with generation " + str(current_generation),
timeout_sec=60,
err_msg="Never saw output 'Successfully joined group with generation " + str(current_generation) + "' on" + str(p.node.account))
if processor == self.leader:
self.update_leader()
else:
self.leader_counter[self.leader] = self.leader_counter[self.leader] + 1
if self.leader in self.old_processors or len(self.old_processors) > 0:
self.verify_metadata_no_upgraded_yet()
return current_generation
def verify_metadata_no_upgraded_yet(self):
for p in self.processors:
found = list(p.node.account.ssh_capture("grep \"Sent a version 4 subscription and group leader.s latest supported version is 5. Upgrading subscription metadata version to 5 for next rebalance.\" " + p.LOG_FILE, allow_fail=True))
if len(found) > 0:
raise Exception("Kafka Streams failed with 'group member upgraded to metadata 4 too early'")
class StreamsSmokeTest(KafkaTest):
"""
Simple test of Kafka Streams.
"""
def __init__(self, test_context):
super(StreamsSmokeTest, self).__init__(test_context, num_zk=1, num_brokers=3, topics={
'echo' : { 'partitions': 5, 'replication-factor': 1 },
'data' : { 'partitions': 5, 'replication-factor': 1 },
'min' : { 'partitions': 5, 'replication-factor': 1 },
'min-suppressed' : { 'partitions': 5, 'replication-factor': 1 },
'min-raw' : { 'partitions': 5, 'replication-factor': 1 },
'max' : { 'partitions': 5, 'replication-factor': 1 },
'sum' : { 'partitions': 5, 'replication-factor': 1 },
'sws-raw' : { 'partitions': 5, 'replication-factor': 1 },
'sws-suppressed' : { 'partitions': 5, 'replication-factor': 1 },
'dif' : { 'partitions': 5, 'replication-factor': 1 },
'cnt' : { 'partitions': 5, 'replication-factor': 1 },
'avg' : { 'partitions': 5, 'replication-factor': 1 },
'wcnt' : { 'partitions': 5, 'replication-factor': 1 },
'tagg' : { 'partitions': 5, 'replication-factor': 1 }
})
self.test_context = test_context
self.driver = StreamsSmokeTestDriverService(test_context, self.kafka)
@cluster(num_nodes=8)
@matrix(processing_guarantee=['at_least_once'], crash=[True, False], metadata_quorum=quorum.all_non_upgrade)
@matrix(processing_guarantee=['exactly_once', 'exactly_once_v2'], crash=[True, False])
def test_streams(self, processing_guarantee, crash, metadata_quorum=quorum.zk):
processor1 = StreamsSmokeTestJobRunnerService(self.test_context, self.kafka, processing_guarantee)
processor2 = StreamsSmokeTestJobRunnerService(self.test_context, self.kafka, processing_guarantee)
processor3 = StreamsSmokeTestJobRunnerService(self.test_context, self.kafka, processing_guarantee)
with processor1.node.account.monitor_log(processor1.STDOUT_FILE) as monitor1:
processor1.start()
monitor1.wait_until('REBALANCING -> RUNNING',
timeout_sec=60,
err_msg="Never saw 'REBALANCING -> RUNNING' message " + str(processor1.node.account)
)
self.driver.start()
monitor1.wait_until('processed',
timeout_sec=30,
err_msg="Didn't see any processing messages " + str(processor1.node.account)
)
# make sure we're not already done processing (which would invalidate the test)
self.driver.node.account.ssh("! grep 'Result Verification' %s" % self.driver.STDOUT_FILE, allow_fail=False)
processor1.stop_nodes(not crash)
with processor2.node.account.monitor_log(processor2.STDOUT_FILE) as monitor2:
processor2.start()
monitor2.wait_until('REBALANCING -> RUNNING',
timeout_sec=120,
err_msg="Never saw 'REBALANCING -> RUNNING' message " + str(processor2.node.account)
)
monitor2.wait_until('processed',
timeout_sec=30,
err_msg="Didn't see any processing messages " + str(processor2.node.account)
)
# make sure we're not already done processing (which would invalidate the test)
self.driver.node.account.ssh("! grep 'Result Verification' %s" % self.driver.STDOUT_FILE, allow_fail=False)
processor2.stop_nodes(not crash)
with processor3.node.account.monitor_log(processor3.STDOUT_FILE) as monitor3:
processor3.start()
monitor3.wait_until('REBALANCING -> RUNNING',
timeout_sec=120,
err_msg="Never saw 'REBALANCING -> RUNNING' message " + str(processor3.node.account)
)
# there should still be some data left for this processor to work on.
monitor3.wait_until('processed',
timeout_sec=30,
err_msg="Didn't see any processing messages " + str(processor3.node.account)
)
self.driver.wait()
self.driver.stop()
processor3.stop()
if crash and processing_guarantee == 'at_least_once':
self.driver.node.account.ssh("grep -E 'SUCCESS|PROCESSED-MORE-THAN-GENERATED' %s" % self.driver.STDOUT_FILE, allow_fail=False)
else:
self.driver.node.account.ssh("grep SUCCESS %s" % self.driver.STDOUT_FILE, allow_fail=False)
class StreamsBrokerBounceTest(Test):
"""
Simple test of Kafka Streams with brokers failing
"""
def __init__(self, test_context):
super(StreamsBrokerBounceTest, self).__init__(test_context)
self.replication = 3
self.partitions = 3
self.topics = {
'echo' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": 2}},
'data' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": 2} },
'min' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": 2} },
'max' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": 2} },
'sum' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": 2} },
'dif' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": 2} },
'cnt' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": 2} },
'avg' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": 2} },
'wcnt' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": 2} },
'tagg' : { 'partitions': self.partitions, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": 2} },
'__consumer_offsets' : { 'partitions': 50, 'replication-factor': self.replication,
'configs': {"min.insync.replicas": 2} }
}
def fail_broker_type(self, failure_mode, broker_type):
# Pick a random topic and bounce it's leader
topic_index = randint(0, len(self.topics.keys()) - 1)
topic = self.topics.keys()[topic_index]
failures[failure_mode](self, topic, broker_type)
def fail_many_brokers(self, failure_mode, num_failures):
sig = signal.SIGTERM
if (failure_mode == "clean_shutdown"):
sig = signal.SIGTERM
else:
sig = signal.SIGKILL
for num in range(0, num_failures - 1):
signal_node(self, self.kafka.nodes[num], sig)
def confirm_topics_on_all_brokers(self, expected_topic_set):
for node in self.kafka.nodes:
match_count = 0
# need to iterate over topic_list_generator as kafka.list_topics()
# returns a python generator so values are fetched lazily
# so we can't just compare directly we must iterate over what's returned
topic_list_generator = self.kafka.list_topics(node=node)
for topic in topic_list_generator:
if topic in expected_topic_set:
match_count += 1
if len(expected_topic_set) != match_count:
return False
return True
def setup_system(self, start_processor=True):
# Setup phase
self.zk = ZookeeperService(self.test_context, num_nodes=1)
self.zk.start()
self.kafka = KafkaService(self.test_context, num_nodes=self.replication, zk=self.zk, topics=self.topics)
self.kafka.start()
# allow some time for topics to be created
wait_until(lambda: self.confirm_topics_on_all_brokers(set(self.topics.keys())),
timeout_sec=60,
err_msg="Broker did not create all topics in 60 seconds ")
# Start test harness
self.driver = StreamsSmokeTestDriverService(self.test_context, self.kafka)
self.processor1 = StreamsSmokeTestJobRunnerService(self.test_context, self.kafka)
self.driver.start()
if (start_processor):
self.processor1.start()
def collect_results(self, sleep_time_secs):
data = {}
# End test
self.driver.wait()
self.driver.stop()
self.processor1.stop()
node = self.driver.node
# Success is declared if streams does not crash when sleep time > 0
# It should give an exception when sleep time is 0 since we kill the brokers immediately
# and the topic manager cannot create internal topics with the desired replication factor
if (sleep_time_secs == 0):
output_streams = self.processor1.node.account.ssh_capture("grep SMOKE-TEST-CLIENT-EXCEPTION %s" % self.processor1.STDOUT_FILE, allow_fail=False)
else:
output_streams = self.processor1.node.account.ssh_capture("grep SMOKE-TEST-CLIENT-CLOSED %s" % self.processor1.STDOUT_FILE, allow_fail=False)
for line in output_streams:
data["Client closed"] = line
# Currently it is hard to guarantee anything about Kafka since we don't have exactly once.
# With exactly once in place, success will be defined as ALL-RECORDS-DELIEVERD and SUCCESS
output = node.account.ssh_capture("grep -E 'ALL-RECORDS-DELIVERED|PROCESSED-MORE-THAN-GENERATED|PROCESSED-LESS-THAN-GENERATED' %s" % self.driver.STDOUT_FILE, allow_fail=False)
for line in output:
data["Records Delivered"] = line
output = node.account.ssh_capture("grep -E 'SUCCESS|FAILURE' %s" % self.driver.STDOUT_FILE, allow_fail=False)
for line in output:
data["Logic Success/Failure"] = line
return data
@cluster(num_nodes=7)
@matrix(failure_mode=["clean_shutdown", "hard_shutdown", "clean_bounce", "hard_bounce"],
broker_type=["leader", "controller"],
sleep_time_secs=[120])
def test_broker_type_bounce(self, failure_mode, broker_type, sleep_time_secs):
"""
Start a smoke test client, then kill one particular broker and ensure data is still received
Record if records are delivered.
"""
self.setup_system()
# Sleep to allow test to run for a bit
time.sleep(sleep_time_secs)
# Fail brokers
self.fail_broker_type(failure_mode, broker_type)
return self.collect_results(sleep_time_secs)
@ignore
@cluster(num_nodes=7)
@matrix(failure_mode=["clean_shutdown"],
broker_type=["controller"],
sleep_time_secs=[0])
def test_broker_type_bounce_at_start(self, failure_mode, broker_type, sleep_time_secs):
"""
Start a smoke test client, then kill one particular broker immediately before streams stats
Streams should throw an exception since it cannot create topics with the desired
replication factor of 3
"""
self.setup_system(start_processor=False)
# Sleep to allow test to run for a bit
time.sleep(sleep_time_secs)
# Fail brokers
self.fail_broker_type(failure_mode, broker_type)
self.processor1.start()
return self.collect_results(sleep_time_secs)
@cluster(num_nodes=7)
@matrix(failure_mode=["clean_shutdown", "hard_shutdown", "clean_bounce", "hard_bounce"],
num_failures=[2])
def test_many_brokers_bounce(self, failure_mode, num_failures):
"""
Start a smoke test client, then kill a few brokers and ensure data is still received
Record if records are delivered
"""
self.setup_system()
# Sleep to allow test to run for a bit
time.sleep(120)
# Fail brokers
self.fail_many_brokers(failure_mode, num_failures)
return self.collect_results(120)
@cluster(num_nodes=7)
@matrix(failure_mode=["clean_bounce", "hard_bounce"],
num_failures=[3])
def test_all_brokers_bounce(self, failure_mode, num_failures):
"""
Start a smoke test client, then kill a few brokers and ensure data is still received
Record if records are delivered
"""
self.setup_system()
# Sleep to allow test to run for a bit
time.sleep(120)
# Fail brokers
self.fail_many_brokers(failure_mode, num_failures)
return self.collect_results(120)
class StreamsSmokeTest(KafkaTest):
"""
Simple test of Kafka Streams.
"""
def __init__(self, test_context):
super(StreamsSmokeTest, self).__init__(test_context, num_zk=1, num_brokers=3, topics={
'echo' : { 'partitions': 5, 'replication-factor': 1 },
'data' : { 'partitions': 5, 'replication-factor': 1 },
'min' : { 'partitions': 5, 'replication-factor': 1 },
'min-suppressed' : { 'partitions': 5, 'replication-factor': 1 },
'min-raw' : { 'partitions': 5, 'replication-factor': 1 },
'max' : { 'partitions': 5, 'replication-factor': 1 },
'sum' : { 'partitions': 5, 'replication-factor': 1 },
'sws-raw' : { 'partitions': 5, 'replication-factor': 1 },
'sws-suppressed' : { 'partitions': 5, 'replication-factor': 1 },
'dif' : { 'partitions': 5, 'replication-factor': 1 },
'cnt' : { 'partitions': 5, 'replication-factor': 1 },
'avg' : { 'partitions': 5, 'replication-factor': 1 },
'wcnt' : { 'partitions': 5, 'replication-factor': 1 },
'tagg' : { 'partitions': 5, 'replication-factor': 1 }
})
self.test_context = test_context
self.driver = StreamsSmokeTestDriverService(test_context, self.kafka)
@cluster(num_nodes=8)
@matrix(eos=[True, False], crash=[True, False])
def test_streams(self, eos, crash):
#
if eos:
processor1 = StreamsSmokeTestEOSJobRunnerService(self.test_context, self.kafka)
processor2 = StreamsSmokeTestEOSJobRunnerService(self.test_context, self.kafka)
processor3 = StreamsSmokeTestEOSJobRunnerService(self.test_context, self.kafka)
else:
processor1 = StreamsSmokeTestJobRunnerService(self.test_context, self.kafka)
processor2 = StreamsSmokeTestJobRunnerService(self.test_context, self.kafka)
processor3 = StreamsSmokeTestJobRunnerService(self.test_context, self.kafka)
with processor1.node.account.monitor_log(processor1.STDOUT_FILE) as monitor1:
processor1.start()
monitor1.wait_until('REBALANCING -> RUNNING',
timeout_sec=60,
err_msg="Never saw 'REBALANCING -> RUNNING' message " + str(processor1.node.account)
)
self.driver.start()
monitor1.wait_until('processed',
timeout_sec=30,
err_msg="Didn't see any processing messages " + str(processor1.node.account)
)
# make sure we're not already done processing (which would invalidate the test)
self.driver.node.account.ssh("! grep 'Result Verification' %s" % self.driver.STDOUT_FILE, allow_fail=False)
processor1.stop_nodes(not crash)
with processor2.node.account.monitor_log(processor2.STDOUT_FILE) as monitor2:
processor2.start()
monitor2.wait_until('REBALANCING -> RUNNING',
timeout_sec=120,
err_msg="Never saw 'REBALANCING -> RUNNING' message " + str(processor2.node.account)
)
monitor2.wait_until('processed',
timeout_sec=30,
err_msg="Didn't see any processing messages " + str(processor2.node.account)
)
# make sure we're not already done processing (which would invalidate the test)
self.driver.node.account.ssh("! grep 'Result Verification' %s" % self.driver.STDOUT_FILE, allow_fail=False)
processor2.stop_nodes(not crash)
with processor3.node.account.monitor_log(processor3.STDOUT_FILE) as monitor3:
processor3.start()
monitor3.wait_until('REBALANCING -> RUNNING',
timeout_sec=120,
err_msg="Never saw 'REBALANCING -> RUNNING' message " + str(processor3.node.account)
)
# there should still be some data left for this processor to work on.
monitor3.wait_until('processed',
timeout_sec=30,
err_msg="Didn't see any processing messages " + str(processor3.node.account)
)
self.driver.wait()
self.driver.stop()
processor3.stop()
if crash and not eos:
self.driver.node.account.ssh("grep -E 'SUCCESS|PROCESSED-MORE-THAN-GENERATED' %s" % self.driver.STDOUT_FILE, allow_fail=False)
else:
self.driver.node.account.ssh("grep SUCCESS %s" % self.driver.STDOUT_FILE, allow_fail=False)
class StreamsBrokerBounceTest(Test):
"""
Simple test of Kafka Streams with brokers failing
"""
def __init__(self, test_context):
super(StreamsBrokerBounceTest, self).__init__(test_context)
self.replication = 3
self.partitions = 3
self.topics = {
'echo': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": 2
}
},
'data': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": 2
}
},
'min': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": 2
}
},
'max': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": 2
}
},
'sum': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": 2
}
},
'dif': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": 2
}
},
'cnt': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": 2
}
},
'avg': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": 2
}
},
'wcnt': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": 2
}
},
'tagg': {
'partitions': self.partitions,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": 2
}
},
'__consumer_offsets': {
'partitions': 50,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": 2
}
}
}
def fail_broker_type(self, failure_mode, broker_type):
# Pick a random topic and bounce it's leader
topic_index = randint(0, len(self.topics.keys()) - 1)
topic = self.topics.keys()[topic_index]
failures[failure_mode](self, topic, broker_type)
def fail_many_brokers(self, failure_mode, num_failures):
sig = signal.SIGTERM
if (failure_mode == "clean_shutdown"):
sig = signal.SIGTERM
else:
sig = signal.SIGKILL
for num in range(0, num_failures - 1):
signal_node(self, self.kafka.nodes[num], sig)
def confirm_topics_on_all_brokers(self, expected_topic_set):
for node in self.kafka.nodes:
match_count = 0
# need to iterate over topic_list_generator as kafka.list_topics()
# returns a python generator so values are fetched lazily
# so we can't just compare directly we must iterate over what's returned
topic_list_generator = self.kafka.list_topics(node=node)
for topic in topic_list_generator:
if topic in expected_topic_set:
match_count += 1
if len(expected_topic_set) != match_count:
return False
return True
def setup_system(self, start_processor=True, num_threads=3):
# Setup phase
self.zk = ZookeeperService(self.test_context, num_nodes=1)
self.zk.start()
self.kafka = KafkaService(self.test_context,
num_nodes=self.replication,
zk=self.zk,
topics=self.topics)
self.kafka.start()
# allow some time for topics to be created
wait_until(lambda: self.confirm_topics_on_all_brokers(
set(self.topics.keys())),
timeout_sec=60,
err_msg="Broker did not create all topics in 60 seconds ")
# Start test harness
self.driver = StreamsSmokeTestDriverService(self.test_context,
self.kafka)
self.processor1 = StreamsSmokeTestJobRunnerService(
self.test_context, self.kafka, "at_least_once", num_threads)
self.driver.start()
if (start_processor):
self.processor1.start()
def collect_results(self, sleep_time_secs):
data = {}
# End test
self.driver.wait()
self.driver.stop()
self.processor1.stop()
node = self.driver.node
# Success is declared if streams does not crash when sleep time > 0
# It should give an exception when sleep time is 0 since we kill the brokers immediately
# and the topic manager cannot create internal topics with the desired replication factor
if (sleep_time_secs == 0):
output_streams = self.processor1.node.account.ssh_capture(
"grep SMOKE-TEST-CLIENT-EXCEPTION %s" %
self.processor1.STDOUT_FILE,
allow_fail=False)
else:
output_streams = self.processor1.node.account.ssh_capture(
"grep SMOKE-TEST-CLIENT-CLOSED %s" %
self.processor1.STDOUT_FILE,
allow_fail=False)
for line in output_streams:
data["Client closed"] = line
# Currently it is hard to guarantee anything about Kafka since we don't have exactly once.
# With exactly once in place, success will be defined as ALL-RECORDS-DELIEVERD and SUCCESS
output = node.account.ssh_capture(
"grep -E 'ALL-RECORDS-DELIVERED|PROCESSED-MORE-THAN-GENERATED|PROCESSED-LESS-THAN-GENERATED' %s"
% self.driver.STDOUT_FILE,
allow_fail=False)
for line in output:
data["Records Delivered"] = line
output = node.account.ssh_capture("grep -E 'SUCCESS|FAILURE' %s" %
self.driver.STDOUT_FILE,
allow_fail=False)
for line in output:
data["Logic Success/Failure"] = line
return data
@cluster(num_nodes=7)
@matrix(failure_mode=[
"clean_shutdown", "hard_shutdown", "clean_bounce", "hard_bounce"
],
broker_type=["leader", "controller"],
num_threads=[1, 3],
sleep_time_secs=[120])
def test_broker_type_bounce(self, failure_mode, broker_type,
sleep_time_secs, num_threads):
"""
Start a smoke test client, then kill one particular broker and ensure data is still received
Record if records are delivered.
We also add a single thread stream client to make sure we could get all partitions reassigned in
next generation so to verify the partition lost is correctly triggered.
"""
self.setup_system(num_threads=num_threads)
# Sleep to allow test to run for a bit
time.sleep(sleep_time_secs)
# Fail brokers
self.fail_broker_type(failure_mode, broker_type)
return self.collect_results(sleep_time_secs)
@ignore
@cluster(num_nodes=7)
@matrix(failure_mode=["clean_shutdown"],
broker_type=["controller"],
sleep_time_secs=[0])
def test_broker_type_bounce_at_start(self, failure_mode, broker_type,
sleep_time_secs):
"""
Start a smoke test client, then kill one particular broker immediately before streams stats
Streams should throw an exception since it cannot create topics with the desired
replication factor of 3
"""
self.setup_system(start_processor=False)
# Sleep to allow test to run for a bit
time.sleep(sleep_time_secs)
# Fail brokers
self.fail_broker_type(failure_mode, broker_type)
self.processor1.start()
return self.collect_results(sleep_time_secs)
@cluster(num_nodes=7)
@matrix(failure_mode=[
"clean_shutdown", "hard_shutdown", "clean_bounce", "hard_bounce"
],
num_failures=[2])
def test_many_brokers_bounce(self, failure_mode, num_failures):
"""
Start a smoke test client, then kill a few brokers and ensure data is still received
Record if records are delivered
"""
self.setup_system()
# Sleep to allow test to run for a bit
time.sleep(120)
# Fail brokers
self.fail_many_brokers(failure_mode, num_failures)
return self.collect_results(120)
@cluster(num_nodes=7)
@matrix(failure_mode=["clean_bounce", "hard_bounce"], num_failures=[3])
def test_all_brokers_bounce(self, failure_mode, num_failures):
"""
Start a smoke test client, then kill a few brokers and ensure data is still received
Record if records are delivered
"""
# Set min.insync.replicas to 1 because in the last stage of the test there is only one broker left.
# Otherwise the last offset commit will never succeed and time out and potentially take longer as
# duration passed to the close method of the Kafka Streams client.
self.topics['__consumer_offsets'] = {
'partitions': 50,
'replication-factor': self.replication,
'configs': {
"min.insync.replicas": 1
}
}
self.setup_system()
# Sleep to allow test to run for a bit
time.sleep(120)
# Fail brokers
self.fail_many_brokers(failure_mode, num_failures)
return self.collect_results(120)