class KafkaManager:
MAX_RETRY = 10
MAX_POLL_RETRIES = 3
MAX_ZK_RETRIES = 5
TOPIC_RESOURCE_ID = 2
DEFAULT_TIMEOUT = 15000
SUCCESS_CODE = 0
ZK_REASSIGN_NODE = '/admin/reassign_partitions'
ZK_TOPIC_PARTITION_NODE = '/brokers/topics/'
ZK_TOPIC_CONFIGURATION_NODE = '/config/topics/'
# Not used yet.
ZK_TOPIC_DELETION_NODE = '/admin/delete_topics/'
def __init__(self, module, **configs):
self.module = module
self.client = KafkaClient(**configs)
def init_zk_client(self, zookeeper, zookeeper_auth=[]):
self.zk_client = KazooClient(hosts=zookeeper,
auth_data=zookeeper_auth,
read_only=True)
self.zk_client.start()
def close_zk_client(self):
self.zk_client.stop()
def close(self):
self.client.close()
# Creates a topic
# Usable for Kafka version >= 0.10.1
def create_topic(self,
name,
partitions,
replica_factor,
replica_assignment=[],
config_entries=[],
timeout=None):
if timeout is None:
timeout = self.DEFAULT_TIMEOUT
request = CreateTopicsRequest_v0(create_topic_requests=[
(name, partitions, replica_factor, replica_assignment,
config_entries)
],
timeout=timeout)
resp = self.send_request_and_get_response(request)
for request in resp:
for topic, error_code in request.topic_error_codes:
if (error_code != self.SUCCESS_CODE):
self.close()
self.module.fail_json(
msg=
'Error while creating topic %s. Error key is %s, %s.' %
(topic, kafka.errors.for_code(error_code).message,
kafka.errors.for_code(error_code).description))
# Deletes a topic
# Usable for Kafka version >= 0.10.1
# Need to know which broker is controller for topic
def delete_topic(self, name, timeout=None):
if timeout is None:
timeout = self.DEFAULT_TIMEOUT
request = DeleteTopicsRequest_v0(topics=[name], timeout=timeout)
resp = self.send_request_and_get_response(request)
for request in resp:
for topic, error_code in request.topic_error_codes:
if (error_code != self.SUCCESS_CODE):
self.close()
self.module.fail_json(
msg=
'Error while deleting topic %s. Error key is: %s, %s. Is option \'delete.topic.enable\' set to true on your Kafka server?'
% (topic, kafka.errors.for_code(error_code).message,
kafka.errors.for_code(error_code).description))
def send_request_and_get_response(self, request):
try:
node_id = self.get_controller()
except Exception:
self.module.fail_json(
msg=
'Cannot determine a controller for your current Kafka server. Is your Kafka server running and available on \'%s\' with security protocol \'%s\'?'
% (self.client.config['bootstrap_servers'],
self.client.config['security_protocol']))
if self.connection_check(node_id):
update = self.client.send(node_id, request)
if update.is_done and update.failed():
self.close()
self.module.fail_json(
msg='Error while sending request %s to Kafka server: %s.' %
(request, update.exception))
return self.get_responses_from_client()
else:
self.close()
self.module.fail_json(
msg=
'Connection is not ready, please check your client and server configurations.'
)
def get_controller(self):
nodeId, host, port, rack = self.client.cluster.controller
return nodeId
def get_controller_id_for_topic(self, topic_name):
request = MetadataRequest_v1(topics=[topic_name])
resp = self.send_request_and_get_response(request)
for request in resp:
controller_id = request.controller_id
return controller_id
# Returns responses with configuration
# Usable with Kafka version >= 0.11.0
def get_config_for_topic(self, topic_name, config_names):
request = DescribeConfigsRequest_v0(resources=[(self.TOPIC_RESOURCE_ID,
topic_name,
config_names)])
return self.send_request_and_get_response(request)
# Obtains response from server using poll()
# It may need some times to get the response, so we had some retries
def get_responses_from_client(self, connection_sleep=1):
retries = 0
if self.get_awaiting_request() > 0:
while retries < self.MAX_POLL_RETRIES:
resp = self.client.poll()
if len(resp) > 0:
return resp
time.sleep(connection_sleep)
retries += 1
self.close()
self.module.fail_json(
msg=
'Error while getting responses : no response to request was obtained, please check your client and server configurations.'
)
else:
self.close()
self.module.fail_json(
msg=
'No pending request, please check your client and server configurations.'
)
# Returns the topics list
def get_topics(self):
return self.client.cluster.topics()
# Returns the number of partitions for topic
def get_total_partitions_for_topic(self, topic):
return len(self.client.cluster.partitions_for_topic(topic))
# Returns all partitions for topic, with information
# TODO do not use private property anymore
def get_partitions_for_topic(self, topic):
return self.client.cluster._partitions[topic]
# Returns number of brokers available
def get_total_brokers(self):
return len(self.client.cluster.brokers())
# Returns all brokers
def get_brokers(self):
return self.client.cluster.brokers()
# Returns Kafka server version
def get_api_version(self):
major, minor, patch = self.client.config['api_version']
return '%s.%s.%s' % (major, minor, patch)
# Returns the number of requests currently in the queue
def get_awaiting_request(self):
return self.client.in_flight_request_count()
# Checks that connection with broker is OK and that it is possible to send requests
# Since the _maybe_connect() function used in ready() is 'async', we need to manually call it several time to make the connection
def connection_check(self, node_id, connection_sleep=1):
retries = 0
if not self.client.ready(node_id):
while retries < self.MAX_RETRY:
if self.client.ready(node_id):
return True
time.sleep(connection_sleep)
retries += 1
return False
else:
return True
# Checks whether topic's options need to be updated or not.
# Since the DescribeConfigsRequest does not give all current configuration entries for a topic, we need to use Zookeeper.
# Requires zk connection.
def is_topic_configuration_need_update(self, topic_name, topic_conf):
current_config, zk_stats = self.zk_client.get(
self.ZK_TOPIC_CONFIGURATION_NODE + topic_name)
current_config = json.loads(current_config)['config']
if len(topic_conf) != len(current_config.keys()):
return True
else:
for conf_name, conf_value in topic_conf:
if conf_name not in current_config.keys(
) or str(conf_value) != str(current_config[conf_name]):
return True
return False
# Checks whether topic's partitions need to be updated or not.
def is_topic_partitions_need_update(self, topic_name, partitions):
total_partitions = self.get_total_partitions_for_topic(topic_name)
need_update = False
if partitions != total_partitions:
if partitions > total_partitions:
# increasing partition number
need_update = True
else:
# decreasing partition number, which is not possible
self.close()
self.module.fail_json(
msg=
'Can\'t update \'%s\' topic partition from %s to %s : only increase is possible.'
% (topic_name, total_partitions, partitions))
return need_update
# Checks whether a topic replica needs to be updated or not.
def is_topic_replication_need_update(self, topic_name, replica_factor):
need_update = False
for id, part in self.get_partitions_for_topic(topic_name).items():
topic, partition, leader, replicas, isr, error = part
if len(replicas) != replica_factor:
need_update = True
return need_update
# Updates the topic partitions
# Usable for Kafka version >= 1.0.0
# Requires to be the sended to the current controller of the Kafka cluster.
# The request requires to precise the total number of partitions and broker assignment for each new partition without forgeting replica.
# See NewPartitions class for explanations https://github.com/apache/kafka/blob/a553764c8b1611cafd318022d0fc4a34c861f6ba/clients/src/main/java/org/apache/kafka/clients/admin/NewPartitions.java#L53
def update_topic_partitions(self, topic_name, partitions):
brokers = []
for nodeId, host, port, rack in self.get_brokers():
brokers.append(int(nodeId))
brokers_iterator = itertools.cycle(brokers)
topic, partition_id, leader, replicas, isr, error = self.get_partitions_for_topic(
topic_name)[0]
total_replica = len(replicas)
old_partition = self.get_total_partitions_for_topic(topic_name)
assignments = []
for new_partition in range(partitions - old_partition):
assignment = []
for replica in range(total_replica):
assignment.append(next(brokers_iterator))
assignments.append(assignment)
request = CreatePartitionsRequest_v0(topic_partitions=[
(topic_name, (partitions, assignments))
],
timeout=self.DEFAULT_TIMEOUT,
validate_only=False)
resp = self.send_request_and_get_response(request)
for request in resp:
for topic, error_code, error_message in request.topic_errors:
if (error_code != self.SUCCESS_CODE):
self.close()
self.module.fail_json(
msg=
'Error while updating topic \'%s\' partitions. Error key is %s, %s. Request was %s.'
% (topic, kafka.errors.for_code(error_code).message,
kafka.errors.for_code(error_code).description,
str(request)))
# Updates the topic configuration
# Usable for Kafka version >= 0.11.0
# Requires to be the sended to the current controller of the Kafka cluster.
def update_topic_configuration(self, topic_name, topic_conf):
request = AlterConfigsRequest_v0(resources=[(self.TOPIC_RESOURCE_ID,
topic_name, topic_conf)],
validate_only=False)
resp = self.send_request_and_get_response(request)
for request in resp:
for error_code, error_message, resource_type, resource_name in request.resources:
if (error_code != self.SUCCESS_CODE):
self.close()
self.module.fail_json(
msg=
'Error while updating topic \'%s\' configuration. Error key is %s, %s'
% (resource_name,
kafka.errors.for_code(error_code).message,
kafka.errors.for_code(error_code).description))
# Generates a json assignment based on replica_factor given to update replicas for a topic.
# Uses all brokers available and distributes them as replicas using a round robin method.
def get_assignment_for_replica_factor_update(self, topic_name,
replica_factor):
all_replicas = []
assign = {'partitions': [], 'version': 1}
if replica_factor > self.get_total_brokers():
self.close()
self.close_zk_client()
self.module.fail_json(
msg=
'Error while updating topic \'%s\' replication factor : replication factor \'%s\' is more than available brokers \'%s\''
% (topic_name, replica_factor, self.get_total_brokers()))
else:
for nodeId, host, port, rack in self.get_brokers():
all_replicas.append(nodeId)
brokers_iterator = itertools.cycle(all_replicas)
for id, part in self.get_partitions_for_topic(topic_name).items():
topic, partition, leader, replicas, isr, error = part
assign_tmp = {
'topic': topic_name,
'partition': partition,
'replicas': []
}
for i in range(replica_factor):
assign_tmp['replicas'].append(next(brokers_iterator))
assign['partitions'].append(assign_tmp)
return bytes(str(json.dumps(assign)))
# Generates a json assignment based on number of partitions given to update partitions for a topic.
# Uses all brokers available and distributes them among partitions using a round robin method.
def get_assignment_for_partition_update(self, topic_name, partitions):
all_brokers = []
assign = {'partitions': {}, 'version': 1}
topic, partition_id, leader, replicas, isr, error = self.get_partitions_for_topic(
topic_name)[0]
total_replica = len(replicas)
for nodeId, host, port, rack in self.get_brokers():
all_brokers.append(nodeId)
brokers_iterator = itertools.cycle(all_brokers)
for i in range(partitions):
assign_tmp = []
for j in range(total_replica):
assign_tmp.append(next(brokers_iterator))
assign['partitions'][str(i)] = assign_tmp
return bytes(str(json.dumps(assign)))
# Updates the topic replica factor using a json assignment
# Cf https://github.com/apache/kafka/blob/98296f852f334067553e541d6ecdfa624f0eb689/core/src/main/scala/kafka/admin/ReassignPartitionsCommand.scala#L580
# 1 - Send AlterReplicaLogDirsRequest to allow broker to create replica in the right log dir later if the replica has not been created yet.
#
# 2 - Create reassignment znode so that controller will send LeaderAndIsrRequest to create replica in the broker
# def path = "/admin/reassign_partitions" -> zk.create("/admin/reassign_partitions", b"a value")
# case class ReplicaAssignment(@BeanProperty @JsonProperty("topic") topic: String,
#@BeanProperty @JsonProperty("partition") partition: Int,
#@BeanProperty @JsonProperty("replicas") replicas: java.util.List[Int])
# 3 - Send AlterReplicaLogDirsRequest again to make sure broker will start to move replica to the specified log directory.
# It may take some time for controller to create replica in the broker. Retry if the replica has not been created.
# It may be possible that the node '/admin/reassign_partitions' is already there for another topic. That's why we need to check for its existence and wait for its consumption if it is already present.
# Requires zk connection.
def update_admin_assignment(self, json_assignment, zk_sleep_time=5):
retries = 0
while self.zk_client.exists(
self.ZK_REASSIGN_NODE) and retries < self.MAX_ZK_RETRIES:
retries += 1
time.sleep(zk_sleep_time)
if retries >= self.MAX_ZK_RETRIES:
self.close()
self.close_zk_client()
self.module.fail_json(
msg=
'Error while updating assignment: zk node %s is already there after %s retries and not yet consumed, giving up.'
% (self.ZK_REASSIGN_NODE, self.MAX_ZK_RETRIES))
self.zk_client.create(self.ZK_REASSIGN_NODE, json_assignment)
# Updates the topic partition assignment using a json assignment
# Used when Kafka version < 1.0.0
# Requires zk connection.
def update_topic_assignment(self, json_assignment, zknode):
if not self.zk_client.exists(zknode):
self.close()
self.close_zk_client()
self.module.fail_json(
msg=
'Error while updating assignment: zk node %s missing. Is the topic name correct?'
% (zknode))
self.zk_client.set(zknode, json_assignment)
class KafkaManager(object):
"""
Easier access to Kafka information
"""
TOPIC_RESOURCE_ID = 2
MAX_POLL_RETRIES = 3
MAX_RETRY = 10
SUCCESS_CODE = 0
def __init__(self, **configs):
self.client = KafkaClient(**configs)
def close(self):
"""
Closes the client. Must be called once
the client is not used anymore.
"""
self.client.close()
def get_controller(self):
"""
Return the current controller for cluster.
"""
node_id, _host, _port, _rack = self.client.cluster.controller
return node_id
def get_topics(self):
"""
Returns the topics list
"""
return self.client.cluster.topics()
def get_total_partitions_for_topic(self, topic):
"""
Returns the number of partitions for topic
"""
return len(self.client.cluster.partitions_for_topic(topic))
def get_partitions_metadata_for_topic(self, topic):
"""
Returns set of partition for topic
"""
return self.client.cluster._partitions[topic]
def get_config_for_topic(self, topic_name, config_name):
"""
Returns value for config_name topic option
"""
request = DescribeConfigsRequestV0(resources=[(self.TOPIC_RESOURCE_ID,
topic_name,
[config_name])])
responses = self.send_request_and_get_response(request)
for resp in responses:
for err_code, err_message, _, _, config_entries in resp.resources:
if err_code != self.SUCCESS_CODE:
raise Exception(err_message)
for _, value, _, _, _ in config_entries:
return value
def describe_acls(self, acl_resource):
"""Describe a set of ACLs
"""
request = DescribeAclsRequest_v0(
resource_type=acl_resource['resource_type'],
resource_name=acl_resource['name'],
principal=acl_resource['principal'],
host=acl_resource['host'],
operation=acl_resource['operation'],
permission_type=acl_resource['permission_type'])
responses = self.send_request_and_get_response(request)
for resp in responses:
if resp.error_code != self.SUCCESS_CODE:
raise Exception(resp.err_message)
else:
return resp.resources
return None
def get_awaiting_request(self):
"""
Returns the number of requests currently in the queue
"""
return self.client.in_flight_request_count()
def get_responses_from_client(self, connection_sleep=1):
"""
Obtains response from server using poll()
It may need some times to get the response, so we had some retries
"""
retries = 0
if self.get_awaiting_request() > 0:
while retries < self.MAX_POLL_RETRIES:
resp = self.client.poll()
if resp:
return resp
time.sleep(connection_sleep)
retries += 1
return None
def connection_check(self, node_id, connection_sleep=1):
"""
Checks that connection with broker is OK and that it is possible
to send requests
Since the _maybe_connect() function used in ready() is 'async',
we need to manually call it several time to make the connection
"""
retries = 0
if not self.client.ready(node_id):
while retries < self.MAX_RETRY:
if self.client.ready(node_id):
return True
time.sleep(connection_sleep)
retries += 1
return False
return True
def send_request_and_get_response(self, request):
"""
Send requet and get associated response
"""
try:
node_id = self.get_controller()
except Exception:
raise
if self.connection_check(node_id):
update = self.client.send(node_id, request)
if update.is_done and update.failed():
self.close()
return self.get_responses_from_client()
else:
return None
class KafkaManager:
"""
A class used to interact with Kafka and Zookeeper
and easily retrive useful information
"""
MAX_RETRY = 10
MAX_POLL_RETRIES = 3
MAX_ZK_RETRIES = 5
TOPIC_RESOURCE_ID = 2
DEFAULT_TIMEOUT = 15000
SUCCESS_CODE = 0
ZK_REASSIGN_NODE = '/admin/reassign_partitions'
ZK_TOPIC_PARTITION_NODE = '/brokers/topics/'
ZK_TOPIC_CONFIGURATION_NODE = '/config/topics/'
# Not used yet.
ZK_TOPIC_DELETION_NODE = '/admin/delete_topics/'
def __init__(self, module, **configs):
self.module = module
self.zk_client = None
self.client = KafkaClient(**configs)
def init_zk_client(self, **configs):
"""
Zookeeper client initialization
"""
self.zk_client = KazooClient(**configs)
self.zk_client.start()
def close_zk_client(self):
"""
Closes Zookeeper client
"""
self.zk_client.stop()
def close(self):
"""
Closes Kafka client
"""
self.client.close()
def refresh(self):
"""
Refresh topics state
"""
fut = self.client.cluster.request_update()
self.client.poll(future=fut)
if not fut.succeeded():
self.close()
self.module.fail_json(
msg='Error while updating topic state from Kafka server: %s.'
% fut.exception
)
def create_topic(self, name, partitions, replica_factor,
replica_assignment=[], config_entries=[],
timeout=None):
"""
Creates a topic
Usable for Kafka version >= 0.10.1
"""
if timeout is None:
timeout = self.DEFAULT_TIMEOUT
request = CreateTopicsRequest_v0(
create_topic_requests=[(
name, partitions, replica_factor, replica_assignment,
config_entries
)],
timeout=timeout
)
response = self.send_request_and_get_response(request)
for topic, error_code in response.topic_error_codes:
if error_code != self.SUCCESS_CODE:
self.close()
self.module.fail_json(
msg='Error while creating topic %s. '
'Error key is %s, %s.' % (
topic, kafka.errors.for_code(error_code).message,
kafka.errors.for_code(error_code).description
)
)
def delete_topic(self, name, timeout=None):
"""
Deletes a topic
Usable for Kafka version >= 0.10.1
Need to know which broker is controller for topic
"""
if timeout is None:
timeout = self.DEFAULT_TIMEOUT
request = DeleteTopicsRequest_v0(topics=[name], timeout=timeout)
response = self.send_request_and_get_response(request)
for topic, error_code in response.topic_error_codes:
if error_code != self.SUCCESS_CODE:
self.close()
self.module.fail_json(
msg='Error while deleting topic %s. '
'Error key is: %s, %s. '
'Is option \'delete.topic.enable\' set to true on '
' your Kafka server?' % (
topic, kafka.errors.for_code(error_code).message,
kafka.errors.for_code(error_code).description
)
)
@staticmethod
def _convert_create_acls_resource_request_v0(acl_resource):
if acl_resource.operation == ACLOperation.ANY:
raise IllegalArgumentError("operation must not be ANY")
if acl_resource.permission_type == ACLPermissionType.ANY:
raise IllegalArgumentError("permission_type must not be ANY")
return (
acl_resource.resource_type,
acl_resource.name,
acl_resource.principal,
acl_resource.host,
acl_resource.operation,
acl_resource.permission_type
)
@staticmethod
def _convert_create_acls_resource_request_v1(acl_resource):
if acl_resource.operation == ACLOperation.ANY:
raise IllegalArgumentError("operation must not be ANY")
if acl_resource.permission_type == ACLPermissionType.ANY:
raise IllegalArgumentError("permission_type must not be ANY")
return (
acl_resource.resource_type,
acl_resource.name,
acl_resource.pattern_type,
acl_resource.principal,
acl_resource.host,
acl_resource.operation,
acl_resource.permission_type
)
@staticmethod
def _convert_delete_acls_resource_request_v0(acl_resource):
return (
acl_resource.resource_type,
acl_resource.name,
acl_resource.principal,
acl_resource.host,
acl_resource.operation,
acl_resource.permission_type
)
def describe_acls(self, acl_resource, api_version):
"""Describe a set of ACLs
"""
if api_version < parse_version('2.0.0'):
request = DescribeAclsRequest_v0(
resource_type=acl_resource.resource_type,
resource_name=acl_resource.name,
principal=acl_resource.principal,
host=acl_resource.host,
operation=acl_resource.operation,
permission_type=acl_resource.permission_type
)
else:
request = DescribeAclsRequest_v1(
resource_type=acl_resource.resource_type,
resource_name=acl_resource.name,
resource_pattern_type_filter=acl_resource.pattern_type,
principal=acl_resource.principal,
host=acl_resource.host,
operation=acl_resource.operation,
permission_type=acl_resource.permission_type
)
response = self.send_request_and_get_response(request)
if response.error_code != self.SUCCESS_CODE:
self.close()
self.module.fail_json(
msg='Error while describing ACL %s. '
'Error %s: %s.' % (
acl_resource, response.error_code,
response.error_message
)
)
return response.resources
def create_acls(self, acl_resources, api_version):
"""Create a set of ACLs"""
if api_version < parse_version('2.0.0'):
request = CreateAclsRequest_v0(
creations=[self._convert_create_acls_resource_request_v0(
acl_resource) for acl_resource in acl_resources]
)
else:
request = CreateAclsRequest_v1(
creations=[self._convert_create_acls_resource_request_v1(
acl_resource) for acl_resource in acl_resources]
)
response = self.send_request_and_get_response(request)
for error_code, error_message in response.creation_responses:
if error_code != self.SUCCESS_CODE:
self.close()
self.module.fail_json(
msg='Error while creating ACL %s. '
'Error %s: %s.' % (
acl_resources, error_code, error_message
)
)
def delete_acls(self, acl_resources):
"""Delete a set of ACLSs"""
request = DeleteAclsRequest_v0(
filters=[self._convert_delete_acls_resource_request_v0(
acl_resource) for acl_resource in acl_resources]
)
response = self.send_request_and_get_response(request)
for error_code, error_message, _ in response.filter_responses:
if error_code != self.SUCCESS_CODE:
self.close()
self.module.fail_json(
msg='Error while deleting ACL %s. '
'Error %s: %s.' % (
acl_resources, error_code, error_message
)
)
def send_request_and_get_response(self, request):
"""
Sends a Kafka protocol request and returns
the associated response
"""
try:
node_id = self.get_controller()
except UndefinedController:
self.module.fail_json(
msg='Cannot determine a controller for your current Kafka '
'server. Is your Kafka server running and available on '
'\'%s\' with security protocol \'%s\'?' % (
self.client.config['bootstrap_servers'],
self.client.config['security_protocol']
)
)
except Exception as e:
self.module.fail_json(
msg='Cannot determine a controller for your current Kafka '
'server. Is your Kafka server running and available on '
'\'%s\' with security protocol \'%s\'? Are you using the '
'library versions from given \'requirements.txt\'? '
'Exception was: %s' % (
self.client.config['bootstrap_servers'],
self.client.config['security_protocol'],
e
)
)
if self.connection_check(node_id):
future = self.client.send(node_id, request)
self.client.poll(future=future)
if future.succeeded():
return future.value
else:
self.close()
self.module.fail_json(
msg='Error while sending request %s to Kafka server: %s.'
% (request, future.exception)
)
else:
self.close()
self.module.fail_json(
msg='Connection is not ready, please check your client '
'and server configurations.'
)
def get_controller(self):
"""
Returns the current controller
"""
if self.client.cluster.controller is not None:
node_id, _host, _port, _rack = self.client.cluster.controller
return node_id
else:
raise UndefinedController(
'Cant get a controller for this cluster.'
)
def get_controller_id_for_topic(self, topic_name):
"""
Returns current controller for topic
"""
request = MetadataRequest_v1(topics=[topic_name])
response = self.send_request_and_get_response(request)
return response.controller_id
def get_config_for_topic(self, topic_name, config_names):
"""
Returns responses with configuration
Usable with Kafka version >= 0.11.0
"""
request = DescribeConfigsRequest_v0(
resources=[(self.TOPIC_RESOURCE_ID, topic_name, config_names)]
)
return self.send_request_and_get_response(request)
def get_responses_from_client(self, connection_sleep=1):
"""
Obtains response from server using poll()
It may need some times to get the response, so we had some retries
"""
retries = 0
if self.get_awaiting_request() > 0:
while retries < self.MAX_POLL_RETRIES:
resp = self.client.poll()
if resp:
return resp
time.sleep(connection_sleep)
retries += 1
self.close()
self.module.fail_json(
msg='Error while getting responses : no response to request '
'was obtained, please check your client and server '
'configurations.'
)
else:
self.close()
self.module.fail_json(
msg='No pending request, please check your client and server '
'configurations.'
)
def get_topics(self):
"""
Returns the topics list
"""
return self.client.cluster.topics()
def get_total_partitions_for_topic(self, topic):
"""
Returns the number of partitions for topic
"""
return len(self.client.cluster.partitions_for_topic(topic))
def get_partitions_for_topic(self, topic):
"""
Returns all partitions for topic, with information
TODO do not use private property anymore
"""
return self.client.cluster._partitions[topic]
def get_total_brokers(self):
"""
Returns number of brokers available
"""
return len(self.client.cluster.brokers())
def get_brokers(self):
"""
Returns all brokers
"""
return self.client.cluster.brokers()
def get_api_version(self):
"""
Returns Kafka server version
"""
major, minor, patch = self.client.config['api_version']
return '%s.%s.%s' % (major, minor, patch)
def get_awaiting_request(self):
"""
Returns the number of requests currently in the queue
"""
return self.client.in_flight_request_count()
def connection_check(self, node_id, connection_sleep=0.1):
"""
Checks that connection with broker is OK and that it is possible to
send requests
Since the _maybe_connect() function used in ready() is 'async', we
need to manually call it several time to make the connection
"""
retries = 0
if not self.client.ready(node_id):
while retries < self.MAX_RETRY:
if self.client.ready(node_id):
return True
time.sleep(connection_sleep)
retries += 1
return False
return True
def is_topic_configuration_need_update(self, topic_name, topic_conf):
"""
Checks whether topic's options need to be updated or not.
Since the DescribeConfigsRequest does not give all current
configuration entries for a topic, we need to use Zookeeper.
Requires zk connection.
"""
current_config, _zk_stats = self.zk_client.get(
self.ZK_TOPIC_CONFIGURATION_NODE + topic_name
)
current_config = json.loads(current_config)['config']
if len(topic_conf) != len(current_config.keys()):
return True
else:
for conf_name, conf_value in topic_conf:
if (
conf_name not in current_config.keys() or
str(conf_value) != str(current_config[conf_name])
):
return True
return False
def is_topic_partitions_need_update(self, topic_name, partitions):
"""
Checks whether topic's partitions need to be updated or not.
"""
total_partitions = self.get_total_partitions_for_topic(topic_name)
need_update = False
if partitions != total_partitions:
if partitions > total_partitions:
# increasing partition number
need_update = True
else:
# decreasing partition number, which is not possible
self.close()
self.module.fail_json(
msg='Can\'t update \'%s\' topic partition from %s to %s :'
'only increase is possible.' % (
topic_name, total_partitions, partitions
)
)
return need_update
def is_topic_replication_need_update(self, topic_name, replica_factor):
"""
Checks whether a topic replica needs to be updated or not.
"""
need_update = False
for _id, part in self.get_partitions_for_topic(topic_name).items():
_topic, _partition, _leader, replicas, _isr, _error = part
if len(replicas) != replica_factor:
need_update = True
return need_update
def update_topic_partitions(self, topic_name, partitions):
"""
Updates the topic partitions
Usable for Kafka version >= 1.0.0
Requires to be the sended to the current controller of the Kafka
cluster.
The request requires to precise the total number of partitions and
broker assignment for each new partition without forgeting replica.
See NewPartitions class for explanations
apache/kafka/clients/admin/NewPartitions.java#L53
"""
brokers = []
for node_id, _, _, _ in self.get_brokers():
brokers.append(int(node_id))
brokers_iterator = itertools.cycle(brokers)
topic, _, _, replicas, _, _ = (
self.get_partitions_for_topic(topic_name)[0]
)
total_replica = len(replicas)
old_partition = self.get_total_partitions_for_topic(topic_name)
assignments = []
for _new_partition in range(partitions - old_partition):
assignment = []
for _replica in range(total_replica):
assignment.append(next(brokers_iterator))
assignments.append(assignment)
request = CreatePartitionsRequest_v0(
topic_partitions=[(topic_name, (partitions, assignments))],
timeout=self.DEFAULT_TIMEOUT,
validate_only=False
)
response = self.send_request_and_get_response(request)
for topic, error_code, _error_message in response.topic_errors:
if error_code != self.SUCCESS_CODE:
self.close()
self.module.fail_json(
msg='Error while updating topic \'%s\' partitions. '
'Error key is %s, %s. Request was %s.' % (
topic, kafka.errors.for_code(error_code).message,
kafka.errors.for_code(error_code).description,
str(request)
)
)
self.refresh()
def update_topic_configuration(self, topic_name, topic_conf):
"""
Updates the topic configuration
Usable for Kafka version >= 0.11.0
Requires to be the sended to the current controller of the Kafka
cluster.
"""
request = AlterConfigsRequest_v0(
resources=[(self.TOPIC_RESOURCE_ID, topic_name, topic_conf)],
validate_only=False
)
response = self.send_request_and_get_response(request)
for error_code, _, _, resource_name in response.resources:
if error_code != self.SUCCESS_CODE:
self.close()
self.module.fail_json(
msg='Error while updating topic \'%s\' configuration. '
'Error key is %s, %s' % (
resource_name,
kafka.errors.for_code(error_code).message,
kafka.errors.for_code(error_code).description
)
)
self.refresh()
def get_assignment_for_replica_factor_update(self, topic_name,
replica_factor):
"""
Generates a json assignment based on replica_factor given to update
replicas for a topic.
Uses all brokers available and distributes them as replicas using
a round robin method.
"""
all_replicas = []
assign = {'partitions': [], 'version': 1}
if replica_factor > self.get_total_brokers():
self.close()
self.close_zk_client()
self.module.fail_json(
msg='Error while updating topic \'%s\' replication factor : '
'replication factor \'%s\' is more than available brokers '
'\'%s\'' % (
topic_name,
replica_factor,
self.get_total_brokers()
)
)
else:
for node_id, _, _, _ in self.get_brokers():
all_replicas.append(node_id)
brokers_iterator = itertools.cycle(all_replicas)
for _, part in self.get_partitions_for_topic(topic_name).items():
_, partition, _, _, _, _ = part
assign_tmp = {
'topic': topic_name,
'partition': partition,
'replicas': []
}
for _i in range(replica_factor):
assign_tmp['replicas'].append(next(brokers_iterator))
assign['partitions'].append(assign_tmp)
return bytes(str(json.dumps(assign)).encode('ascii'))
def get_assignment_for_partition_update(self, topic_name, partitions):
"""
Generates a json assignment based on number of partitions given to
update partitions for a topic.
Uses all brokers available and distributes them among partitions
using a round robin method.
"""
all_brokers = []
assign = {'partitions': {}, 'version': 1}
_, _, _, replicas, _, _ = self.get_partitions_for_topic(topic_name)[0]
total_replica = len(replicas)
for node_id, _host, _port, _rack in self.get_brokers():
all_brokers.append(node_id)
brokers_iterator = itertools.cycle(all_brokers)
for i in range(partitions):
assign_tmp = []
for _j in range(total_replica):
assign_tmp.append(next(brokers_iterator))
assign['partitions'][str(i)] = assign_tmp
return bytes(str(json.dumps(assign)).encode('ascii'))
def wait_for_znode_assignment(self, zk_sleep_time, zk_max_retries):
"""
Wait for the reassignment znode to be consumed by Kafka.
Raises `ReassignPartitionsTimeout` if `zk_max_retries` is reached.
"""
retries = 0
while (
self.zk_client.exists(self.ZK_REASSIGN_NODE) and
retries < zk_max_retries
):
retries += 1
time.sleep(zk_sleep_time)
if retries >= zk_max_retries:
raise ReassignPartitionsTimeout(
'The znode %s, is still present after %s tries, giving up.'
'Consider increasing your `zookeeper_max_retries` and/or '
'`zookeeper_sleep_time` parameters and check your cluster.',
self.ZK_REASSIGN_NODE,
retries
)
def update_admin_assignment(self, json_assignment, zk_sleep_time,
zk_max_retries):
"""
Updates the topic replica factor using a json assignment
Cf core/src/main/scala/kafka/admin/ReassignPartitionsCommand.scala#L580
1 - Send AlterReplicaLogDirsRequest to allow broker to create replica in
the right log dir later if the replica has not been created yet.
2 - Create reassignment znode so that controller will send
LeaderAndIsrRequest to create replica in the broker
def path = "/admin/reassign_partitions" ->
zk.create("/admin/reassign_partitions", b"a value")
case class ReplicaAssignment(
@BeanProperty @JsonProperty("topic") topic: String,
@BeanProperty @JsonProperty("partition") partition: Int,
@BeanProperty @JsonProperty("replicas") replicas: java.util.List[Int])
3 - Send AlterReplicaLogDirsRequest again to make sure broker will start
to move replica to the specified log directory.
It may take some time for controller to create replica in the broker
Retry if the replica has not been created.
It may be possible that the node '/admin/reassign_partitions' is already
there for another topic. That's why we need to check for its existence
and wait for its consumption if it is already present.
Requires zk connection.
"""
try:
self.wait_for_znode_assignment(zk_sleep_time, zk_max_retries)
self.zk_client.create(self.ZK_REASSIGN_NODE, json_assignment)
self.wait_for_znode_assignment(zk_sleep_time, zk_max_retries)
except ReassignPartitionsTimeout as e:
self.close()
self.close_zk_client()
self.module.fail_json(
msg=str(e)
)
self.refresh()
def update_topic_assignment(self, json_assignment, zknode):
"""
Updates the topic partition assignment using a json assignment
Used when Kafka version < 1.0.0
Requires zk connection.
"""
if not self.zk_client.exists(zknode):
self.close()
self.close_zk_client()
self.module.fail_json(
msg='Error while updating assignment: zk node %s missing. '
'Is the topic name correct?' % (zknode)
)
self.zk_client.set(zknode, json_assignment)
self.refresh()
kserver = ["192.168.80.109:9092", "192.168.80.108:9092", "192.168.80.107:9092"]
client = KafkaClient(bootstrap_servers=kserver)
topic = "spark"
num_partitions = 3
timeout_ms = 10000
configs = {}
if topic not in client.cluster.topics(
exclude_internal_topics=True): # Topic不存在
request = admin.CreateTopicsRequest_v0(
create_topic_requests=[(
topic,
num_partitions,
-1, # replication unset.
[], # Partition assignment.
[(key, value) for key, value in configs.items()], # Configs
)],
timeout=timeout_ms)
future = client.send(2, request) # 2是Controller,发送给其他Node都创建失败。
client.poll(timeout_ms=timeout_ms, future=future) # 这里
result = future.value
# error_code = result.topic_error_codes[0][1]
print("CREATE TOPIC RESPONSE: ",
result) # 0 success, 41 NOT_CONTROLLER, 36 ALREADY_EXISTS
client.close()
else: # Topic已经存在
print("Topic already exists!")
