from __future__ import absolute_import, division
import collections
import copy
import functools
import logging
import random
import socket
import threading
import time
import weakref
# selectors in stdlib as of py3.4
try:
import selectors # pylint: disable=import-error
except ImportError:
# vendored backport module
from kafka.vendor import selectors34 as selectors
from kafka.vendor import six
from kafka.cluster import ClusterMetadata
from kafka.conn import BrokerConnection, ConnectionStates, collect_hosts, get_ip_port_afi
from kafka import errors as Errors
from kafka.future import Future
from kafka.metrics import AnonMeasurable
from kafka.metrics.stats import Avg, Count, Rate
from kafka.metrics.stats.rate import TimeUnit
from kafka.protocol.metadata import MetadataRequest
from kafka.util import Dict, WeakMethod
# Although this looks unused, it actually monkey-patches socket.socketpair()
# and should be left in as long as we're using socket.socketpair() in this file
from kafka.vendor import socketpair
from kafka.version import __version__
if six.PY2:
ConnectionError = None
log = logging.getLogger('kafka.client')
[docs]class KafkaClient(object):
"""
A network client for asynchronous request/response network I/O.
This is an internal class used to implement the user-facing producer and
consumer clients.
This class is not thread-safe!
Attributes:
cluster (:any:`ClusterMetadata`): Local cache of cluster metadata, retrieved
via MetadataRequests during :meth:`~kafka.KafkaClient.poll`.
Keyword Arguments:
bootstrap_servers: 'host[:port]' string (or list of 'host[:port]'
strings) that the client should contact to bootstrap initial
cluster metadata. This does not have to be the full node list.
It just needs to have at least one broker that will respond to a
Metadata API Request. Default port is 9092. If no servers are
specified, will default to localhost:9092.
client_id (str): a name for this client. This string is passed in
each request to servers and can be used to identify specific
server-side log entries that correspond to this client. Also
submitted to GroupCoordinator for logging with respect to
consumer group administration. Default: 'kafka-python-{version}'
reconnect_backoff_ms (int): The amount of time in milliseconds to
wait before attempting to reconnect to a given host.
Default: 50.
reconnect_backoff_max_ms (int): The maximum amount of time in
milliseconds to backoff/wait when reconnecting to a broker that has
repeatedly failed to connect. If provided, the backoff per host
will increase exponentially for each consecutive connection
failure, up to this maximum. Once the maximum is reached,
reconnection attempts will continue periodically with this fixed
rate. To avoid connection storms, a randomization factor of 0.2
will be applied to the backoff resulting in a random range between
20% below and 20% above the computed value. Default: 1000.
request_timeout_ms (int): Client request timeout in milliseconds.
Default: 30000.
connections_max_idle_ms: Close idle connections after the number of
milliseconds specified by this config. The broker closes idle
connections after connections.max.idle.ms, so this avoids hitting
unexpected socket disconnected errors on the client.
Default: 540000
retry_backoff_ms (int): Milliseconds to backoff when retrying on
errors. Default: 100.
max_in_flight_requests_per_connection (int): Requests are pipelined
to kafka brokers up to this number of maximum requests per
broker connection. Default: 5.
receive_buffer_bytes (int): The size of the TCP receive buffer
(SO_RCVBUF) to use when reading data. Default: None (relies on
system defaults). Java client defaults to 32768.
send_buffer_bytes (int): The size of the TCP send buffer
(SO_SNDBUF) to use when sending data. Default: None (relies on
system defaults). Java client defaults to 131072.
socket_options (list): List of tuple-arguments to socket.setsockopt
to apply to broker connection sockets. Default:
[(socket.IPPROTO_TCP, socket.TCP_NODELAY, 1)]
metadata_max_age_ms (int): The period of time in milliseconds after
which we force a refresh of metadata even if we haven't seen any
partition leadership changes to proactively discover any new
brokers or partitions. Default: 300000
security_protocol (str): Protocol used to communicate with brokers.
Valid values are: PLAINTEXT, SSL, SASL_PLAINTEXT, SASL_SSL.
Default: PLAINTEXT.
ssl_context (ssl.SSLContext): Pre-configured SSLContext for wrapping
socket connections. If provided, all other ssl_* configurations
will be ignored. Default: None.
ssl_check_hostname (bool): Flag to configure whether SSL handshake
should verify that the certificate matches the broker's hostname.
Default: True.
ssl_cafile (str): Optional filename of CA file to use in certificate
verification. Default: None.
ssl_certfile (str): Optional filename of file in PEM format containing
the client certificate, as well as any CA certificates needed to
establish the certificate's authenticity. Default: None.
ssl_keyfile (str): Optional filename containing the client private key.
Default: None.
ssl_password (str): Optional password to be used when loading the
certificate chain. Default: None.
ssl_crlfile (str): Optional filename containing the CRL to check for
certificate expiration. By default, no CRL check is done. When
providing a file, only the leaf certificate will be checked against
this CRL. The CRL can only be checked with Python 3.4+ or 2.7.9+.
Default: None.
ssl_ciphers (str): optionally set the available ciphers for ssl
connections. It should be a string in the OpenSSL cipher list
format. If no cipher can be selected (because compile-time options
or other configuration forbids use of all the specified ciphers),
an ssl.SSLError will be raised. See ssl.SSLContext.set_ciphers
api_version (tuple): Specify which Kafka API version to use. If set
to None, KafkaClient will attempt to infer the broker version by
probing various APIs. Example: (0, 10, 2). Default: None
api_version_auto_timeout_ms (int): number of milliseconds to throw a
timeout exception from the constructor when checking the broker
api version. Only applies if api_version is None
selector (selectors.BaseSelector): Provide a specific selector
implementation to use for I/O multiplexing.
Default: selectors.DefaultSelector
metrics (kafka.metrics.Metrics): Optionally provide a metrics
instance for capturing network IO stats. Default: None.
metric_group_prefix (str): Prefix for metric names. Default: ''
sasl_mechanism (str): Authentication mechanism when security_protocol
is configured for SASL_PLAINTEXT or SASL_SSL. Valid values are:
PLAIN, GSSAPI, OAUTHBEARER, SCRAM-SHA-256, SCRAM-SHA-512.
sasl_plain_username (str): username for sasl PLAIN and SCRAM authentication.
Required if sasl_mechanism is PLAIN or one of the SCRAM mechanisms.
sasl_plain_password (str): password for sasl PLAIN and SCRAM authentication.
Required if sasl_mechanism is PLAIN or one of the SCRAM mechanisms.
sasl_kerberos_service_name (str): Service name to include in GSSAPI
sasl mechanism handshake. Default: 'kafka'
sasl_kerberos_domain_name (str): kerberos domain name to use in GSSAPI
sasl mechanism handshake. Default: one of bootstrap servers
sasl_oauth_token_provider (AbstractTokenProvider): OAuthBearer token provider
instance. (See kafka.oauth.abstract). Default: None
"""
DEFAULT_CONFIG = {
'bootstrap_servers': 'localhost',
'bootstrap_topics_filter': set(),
'client_id': 'kafka-python-' + __version__,
'request_timeout_ms': 30000,
'wakeup_timeout_ms': 3000,
'connections_max_idle_ms': 9 * 60 * 1000,
'reconnect_backoff_ms': 50,
'reconnect_backoff_max_ms': 1000,
'max_in_flight_requests_per_connection': 5,
'receive_buffer_bytes': None,
'send_buffer_bytes': None,
'socket_options': [(socket.IPPROTO_TCP, socket.TCP_NODELAY, 1)],
'sock_chunk_bytes': 4096, # undocumented experimental option
'sock_chunk_buffer_count': 1000, # undocumented experimental option
'retry_backoff_ms': 100,
'metadata_max_age_ms': 300000,
'security_protocol': 'PLAINTEXT',
'ssl_context': None,
'ssl_check_hostname': True,
'ssl_cafile': None,
'ssl_certfile': None,
'ssl_keyfile': None,
'ssl_password': None,
'ssl_crlfile': None,
'ssl_ciphers': None,
'api_version': None,
'api_version_auto_timeout_ms': 2000,
'selector': selectors.DefaultSelector,
'metrics': None,
'metric_group_prefix': '',
'sasl_mechanism': None,
'sasl_plain_username': None,
'sasl_plain_password': None,
'sasl_kerberos_service_name': 'kafka',
'sasl_kerberos_domain_name': None,
'sasl_oauth_token_provider': None
}
def __init__(self, **configs):
self.config = copy.copy(self.DEFAULT_CONFIG)
for key in self.config:
if key in configs:
self.config[key] = configs[key]
self.cluster = ClusterMetadata(**self.config)
self._topics = set() # empty set will fetch all topic metadata
self._metadata_refresh_in_progress = False
self._selector = self.config['selector']()
self._conns = Dict() # object to support weakrefs
self._api_versions = None
self._connecting = set()
self._sending = set()
self._refresh_on_disconnects = True
self._last_bootstrap = 0
self._bootstrap_fails = 0
self._wake_r, self._wake_w = socket.socketpair()
self._wake_r.setblocking(False)
self._wake_w.settimeout(self.config['wakeup_timeout_ms'] / 1000.0)
self._wake_lock = threading.Lock()
self._lock = threading.RLock()
# when requests complete, they are transferred to this queue prior to
# invocation. The purpose is to avoid invoking them while holding the
# lock above.
self._pending_completion = collections.deque()
self._selector.register(self._wake_r, selectors.EVENT_READ)
self._idle_expiry_manager = IdleConnectionManager(self.config['connections_max_idle_ms'])
self._closed = False
self._sensors = None
if self.config['metrics']:
self._sensors = KafkaClientMetrics(self.config['metrics'],
self.config['metric_group_prefix'],
weakref.proxy(self._conns))
self._num_bootstrap_hosts = len(collect_hosts(self.config['bootstrap_servers']))
# Check Broker Version if not set explicitly
if self.config['api_version'] is None:
check_timeout = self.config['api_version_auto_timeout_ms'] / 1000
self.config['api_version'] = self.check_version(timeout=check_timeout)
def _can_bootstrap(self):
effective_failures = self._bootstrap_fails // self._num_bootstrap_hosts
backoff_factor = 2 ** effective_failures
backoff_ms = min(self.config['reconnect_backoff_ms'] * backoff_factor,
self.config['reconnect_backoff_max_ms'])
backoff_ms *= random.uniform(0.8, 1.2)
next_at = self._last_bootstrap + backoff_ms / 1000.0
now = time.time()
if next_at > now:
return False
return True
def _can_connect(self, node_id):
if node_id not in self._conns:
if self.cluster.broker_metadata(node_id):
return True
return False
conn = self._conns[node_id]
return conn.disconnected() and not conn.blacked_out()
def _conn_state_change(self, node_id, sock, conn):
with self._lock:
if conn.connecting():
# SSL connections can enter this state 2x (second during Handshake)
if node_id not in self._connecting:
self._connecting.add(node_id)
try:
self._selector.register(sock, selectors.EVENT_WRITE, conn)
except KeyError:
self._selector.modify(sock, selectors.EVENT_WRITE, conn)
if self.cluster.is_bootstrap(node_id):
self._last_bootstrap = time.time()
elif conn.connected():
log.debug("Node %s connected", node_id)
if node_id in self._connecting:
self._connecting.remove(node_id)
try:
self._selector.modify(sock, selectors.EVENT_READ, conn)
except KeyError:
self._selector.register(sock, selectors.EVENT_READ, conn)
if self._sensors:
self._sensors.connection_created.record()
self._idle_expiry_manager.update(node_id)
if self.cluster.is_bootstrap(node_id):
self._bootstrap_fails = 0
else:
for node_id in list(self._conns.keys()):
if self.cluster.is_bootstrap(node_id):
self._conns.pop(node_id).close()
# Connection failures imply that our metadata is stale, so let's refresh
elif conn.state is ConnectionStates.DISCONNECTED:
if node_id in self._connecting:
self._connecting.remove(node_id)
try:
self._selector.unregister(sock)
except KeyError:
pass
if self._sensors:
self._sensors.connection_closed.record()
idle_disconnect = False
if self._idle_expiry_manager.is_expired(node_id):
idle_disconnect = True
self._idle_expiry_manager.remove(node_id)
# If the connection has already by popped from self._conns,
# we can assume the disconnect was intentional and not a failure
if node_id not in self._conns:
pass
elif self.cluster.is_bootstrap(node_id):
self._bootstrap_fails += 1
elif self._refresh_on_disconnects and not self._closed and not idle_disconnect:
log.warning("Node %s connection failed -- refreshing metadata", node_id)
self.cluster.request_update()
[docs] def maybe_connect(self, node_id, wakeup=True):
"""Queues a node for asynchronous connection during the next .poll()"""
if self._can_connect(node_id):
self._connecting.add(node_id)
# Wakeup signal is useful in case another thread is
# blocked waiting for incoming network traffic while holding
# the client lock in poll().
if wakeup:
self.wakeup()
return True
return False
def _should_recycle_connection(self, conn):
# Never recycle unless disconnected
if not conn.disconnected():
return False
# Otherwise, only recycle when broker metadata has changed
broker = self.cluster.broker_metadata(conn.node_id)
if broker is None:
return False
host, _, afi = get_ip_port_afi(broker.host)
if conn.host != host or conn.port != broker.port:
log.info("Broker metadata change detected for node %s"
" from %s:%s to %s:%s", conn.node_id, conn.host, conn.port,
broker.host, broker.port)
return True
return False
def _maybe_connect(self, node_id):
"""Idempotent non-blocking connection attempt to the given node id."""
with self._lock:
conn = self._conns.get(node_id)
if conn is None:
broker = self.cluster.broker_metadata(node_id)
assert broker, 'Broker id %s not in current metadata' % (node_id,)
log.debug("Initiating connection to node %s at %s:%s",
node_id, broker.host, broker.port)
host, port, afi = get_ip_port_afi(broker.host)
cb = WeakMethod(self._conn_state_change)
conn = BrokerConnection(host, broker.port, afi,
state_change_callback=cb,
node_id=node_id,
**self.config)
self._conns[node_id] = conn
# Check if existing connection should be recreated because host/port changed
elif self._should_recycle_connection(conn):
self._conns.pop(node_id)
return False
elif conn.connected():
return True
conn.connect()
return conn.connected()
[docs] def ready(self, node_id, metadata_priority=True):
"""Check whether a node is connected and ok to send more requests.
Arguments:
node_id (int): the id of the node to check
metadata_priority (bool): Mark node as not-ready if a metadata
refresh is required. Default: True
Returns:
bool: True if we are ready to send to the given node
"""
self.maybe_connect(node_id)
return self.is_ready(node_id, metadata_priority=metadata_priority)
[docs] def connected(self, node_id):
"""Return True iff the node_id is connected."""
conn = self._conns.get(node_id)
if conn is None:
return False
return conn.connected()
def _close(self):
if not self._closed:
self._closed = True
self._wake_r.close()
self._wake_w.close()
self._selector.close()
[docs] def close(self, node_id=None):
"""Close one or all broker connections.
Arguments:
node_id (int, optional): the id of the node to close
"""
with self._lock:
if node_id is None:
self._close()
conns = list(self._conns.values())
self._conns.clear()
for conn in conns:
conn.close()
elif node_id in self._conns:
self._conns.pop(node_id).close()
else:
log.warning("Node %s not found in current connection list; skipping", node_id)
return
def __del__(self):
self._close()
[docs] def is_disconnected(self, node_id):
"""Check whether the node connection has been disconnected or failed.
A disconnected node has either been closed or has failed. Connection
failures are usually transient and can be resumed in the next ready()
call, but there are cases where transient failures need to be caught
and re-acted upon.
Arguments:
node_id (int): the id of the node to check
Returns:
bool: True iff the node exists and is disconnected
"""
conn = self._conns.get(node_id)
if conn is None:
return False
return conn.disconnected()
[docs] def connection_delay(self, node_id):
"""
Return the number of milliseconds to wait, based on the connection
state, before attempting to send data. When disconnected, this respects
the reconnect backoff time. When connecting, returns 0 to allow
non-blocking connect to finish. When connected, returns a very large
number to handle slow/stalled connections.
Arguments:
node_id (int): The id of the node to check
Returns:
int: The number of milliseconds to wait.
"""
conn = self._conns.get(node_id)
if conn is None:
return 0
return conn.connection_delay()
[docs] def is_ready(self, node_id, metadata_priority=True):
"""Check whether a node is ready to send more requests.
In addition to connection-level checks, this method also is used to
block additional requests from being sent during a metadata refresh.
Arguments:
node_id (int): id of the node to check
metadata_priority (bool): Mark node as not-ready if a metadata
refresh is required. Default: True
Returns:
bool: True if the node is ready and metadata is not refreshing
"""
if not self._can_send_request(node_id):
return False
# if we need to update our metadata now declare all requests unready to
# make metadata requests first priority
if metadata_priority:
if self._metadata_refresh_in_progress:
return False
if self.cluster.ttl() == 0:
return False
return True
def _can_send_request(self, node_id):
conn = self._conns.get(node_id)
if not conn:
return False
return conn.connected() and conn.can_send_more()
[docs] def send(self, node_id, request, wakeup=True):
"""Send a request to a specific node. Bytes are placed on an
internal per-connection send-queue. Actual network I/O will be
triggered in a subsequent call to .poll()
Arguments:
node_id (int): destination node
request (Struct): request object (not-encoded)
wakeup (bool): optional flag to disable thread-wakeup
Raises:
AssertionError: if node_id is not in current cluster metadata
Returns:
Future: resolves to Response struct or Error
"""
conn = self._conns.get(node_id)
if not conn or not self._can_send_request(node_id):
self.maybe_connect(node_id, wakeup=wakeup)
return Future().failure(Errors.NodeNotReadyError(node_id))
# conn.send will queue the request internally
# we will need to call send_pending_requests()
# to trigger network I/O
future = conn.send(request, blocking=False)
self._sending.add(conn)
# Wakeup signal is useful in case another thread is
# blocked waiting for incoming network traffic while holding
# the client lock in poll().
if wakeup:
self.wakeup()
return future
[docs] def poll(self, timeout_ms=None, future=None):
"""Try to read and write to sockets.
This method will also attempt to complete node connections, refresh
stale metadata, and run previously-scheduled tasks.
Arguments:
timeout_ms (int, optional): maximum amount of time to wait (in ms)
for at least one response. Must be non-negative. The actual
timeout will be the minimum of timeout, request timeout and
metadata timeout. Default: request_timeout_ms
future (Future, optional): if provided, blocks until future.is_done
Returns:
list: responses received (can be empty)
"""
if future is not None:
timeout_ms = 100
elif timeout_ms is None:
timeout_ms = self.config['request_timeout_ms']
elif not isinstance(timeout_ms, (int, float)):
raise TypeError('Invalid type for timeout: %s' % type(timeout_ms))
# Loop for futures, break after first loop if None
responses = []
while True:
with self._lock:
if self._closed:
break
# Attempt to complete pending connections
for node_id in list(self._connecting):
self._maybe_connect(node_id)
# Send a metadata request if needed
metadata_timeout_ms = self._maybe_refresh_metadata()
# If we got a future that is already done, don't block in _poll
if future is not None and future.is_done:
timeout = 0
else:
idle_connection_timeout_ms = self._idle_expiry_manager.next_check_ms()
timeout = min(
timeout_ms,
metadata_timeout_ms,
idle_connection_timeout_ms,
self.config['request_timeout_ms'])
# if there are no requests in flight, do not block longer than the retry backoff
if self.in_flight_request_count() == 0:
timeout = min(timeout, self.config['retry_backoff_ms'])
timeout = max(0, timeout) # avoid negative timeouts
self._poll(timeout / 1000)
# called without the lock to avoid deadlock potential
# if handlers need to acquire locks
responses.extend(self._fire_pending_completed_requests())
# If all we had was a timeout (future is None) - only do one poll
# If we do have a future, we keep looping until it is done
if future is None or future.is_done:
break
return responses
def _register_send_sockets(self):
while self._sending:
conn = self._sending.pop()
try:
key = self._selector.get_key(conn._sock)
events = key.events | selectors.EVENT_WRITE
self._selector.modify(key.fileobj, events, key.data)
except KeyError:
self._selector.register(conn._sock, selectors.EVENT_WRITE, conn)
def _poll(self, timeout):
# This needs to be locked, but since it is only called from within the
# locked section of poll(), there is no additional lock acquisition here
processed = set()
# Send pending requests first, before polling for responses
self._register_send_sockets()
start_select = time.time()
ready = self._selector.select(timeout)
end_select = time.time()
if self._sensors:
self._sensors.select_time.record((end_select - start_select) * 1000000000)
for key, events in ready:
if key.fileobj is self._wake_r:
self._clear_wake_fd()
continue
# Send pending requests if socket is ready to write
if events & selectors.EVENT_WRITE:
conn = key.data
if conn.connecting():
conn.connect()
else:
if conn.send_pending_requests_v2():
# If send is complete, we dont need to track write readiness
# for this socket anymore
if key.events ^ selectors.EVENT_WRITE:
self._selector.modify(
key.fileobj,
key.events ^ selectors.EVENT_WRITE,
key.data)
else:
self._selector.unregister(key.fileobj)
if not (events & selectors.EVENT_READ):
continue
conn = key.data
processed.add(conn)
if not conn.in_flight_requests:
# if we got an EVENT_READ but there were no in-flight requests, one of
# two things has happened:
#
# 1. The remote end closed the connection (because it died, or because
# a firewall timed out, or whatever)
# 2. The protocol is out of sync.
#
# either way, we can no longer safely use this connection
#
# Do a 1-byte read to check protocol didnt get out of sync, and then close the conn
try:
unexpected_data = key.fileobj.recv(1)
if unexpected_data: # anything other than a 0-byte read means protocol issues
log.warning('Protocol out of sync on %r, closing', conn)
except socket.error:
pass
conn.close(Errors.KafkaConnectionError('Socket EVENT_READ without in-flight-requests'))
continue
self._idle_expiry_manager.update(conn.node_id)
self._pending_completion.extend(conn.recv())
# Check for additional pending SSL bytes
if self.config['security_protocol'] in ('SSL', 'SASL_SSL'):
# TODO: optimize
for conn in self._conns.values():
if conn not in processed and conn.connected() and conn._sock.pending():
self._pending_completion.extend(conn.recv())
for conn in six.itervalues(self._conns):
if conn.requests_timed_out():
log.warning('%s timed out after %s ms. Closing connection.',
conn, conn.config['request_timeout_ms'])
conn.close(error=Errors.RequestTimedOutError(
'Request timed out after %s ms' %
conn.config['request_timeout_ms']))
if self._sensors:
self._sensors.io_time.record((time.time() - end_select) * 1000000000)
self._maybe_close_oldest_connection()
[docs] def in_flight_request_count(self, node_id=None):
"""Get the number of in-flight requests for a node or all nodes.
Arguments:
node_id (int, optional): a specific node to check. If unspecified,
return the total for all nodes
Returns:
int: pending in-flight requests for the node, or all nodes if None
"""
if node_id is not None:
conn = self._conns.get(node_id)
if conn is None:
return 0
return len(conn.in_flight_requests)
else:
return sum([len(conn.in_flight_requests)
for conn in list(self._conns.values())])
def _fire_pending_completed_requests(self):
responses = []
while True:
try:
# We rely on deque.popleft remaining threadsafe
# to allow both the heartbeat thread and the main thread
# to process responses
response, future = self._pending_completion.popleft()
except IndexError:
break
future.success(response)
responses.append(response)
return responses
[docs] def least_loaded_node(self):
"""Choose the node with fewest outstanding requests, with fallbacks.
This method will prefer a node with an existing connection and no
in-flight-requests. If no such node is found, a node will be chosen
randomly from disconnected nodes that are not "blacked out" (i.e.,
are not subject to a reconnect backoff). If no node metadata has been
obtained, will return a bootstrap node (subject to exponential backoff).
Returns:
node_id or None if no suitable node was found
"""
nodes = [broker.nodeId for broker in self.cluster.brokers()]
random.shuffle(nodes)
inflight = float('inf')
found = None
for node_id in nodes:
conn = self._conns.get(node_id)
connected = conn is not None and conn.connected()
blacked_out = conn is not None and conn.blacked_out()
curr_inflight = len(conn.in_flight_requests) if conn is not None else 0
if connected and curr_inflight == 0:
# if we find an established connection
# with no in-flight requests, we can stop right away
return node_id
elif not blacked_out and curr_inflight < inflight:
# otherwise if this is the best we have found so far, record that
inflight = curr_inflight
found = node_id
return found
[docs] def set_topics(self, topics):
"""Set specific topics to track for metadata.
Arguments:
topics (list of str): topics to check for metadata
Returns:
Future: resolves after metadata request/response
"""
if set(topics).difference(self._topics):
future = self.cluster.request_update()
else:
future = Future().success(set(topics))
self._topics = set(topics)
return future
[docs] def add_topic(self, topic):
"""Add a topic to the list of topics tracked via metadata.
Arguments:
topic (str): topic to track
Returns:
Future: resolves after metadata request/response
"""
if topic in self._topics:
return Future().success(set(self._topics))
self._topics.add(topic)
return self.cluster.request_update()
# This method should be locked when running multi-threaded
def _maybe_refresh_metadata(self, wakeup=False):
"""Send a metadata request if needed.
Returns:
int: milliseconds until next refresh
"""
ttl = self.cluster.ttl()
wait_for_in_progress_ms = self.config['request_timeout_ms'] if self._metadata_refresh_in_progress else 0
metadata_timeout = max(ttl, wait_for_in_progress_ms)
if metadata_timeout > 0:
return metadata_timeout
# Beware that the behavior of this method and the computation of
# timeouts for poll() are highly dependent on the behavior of
# least_loaded_node()
node_id = self.least_loaded_node()
if node_id is None:
log.debug("Give up sending metadata request since no node is available");
return self.config['reconnect_backoff_ms']
if self._can_send_request(node_id):
topics = list(self._topics)
if not topics and self.cluster.is_bootstrap(node_id):
topics = list(self.config['bootstrap_topics_filter'])
if self.cluster.need_all_topic_metadata or not topics:
topics = [] if self.config['api_version'] < (0, 10) else None
api_version = 0 if self.config['api_version'] < (0, 10) else 1
request = MetadataRequest[api_version](topics)
log.debug("Sending metadata request %s to node %s", request, node_id)
future = self.send(node_id, request, wakeup=wakeup)
future.add_callback(self.cluster.update_metadata)
future.add_errback(self.cluster.failed_update)
self._metadata_refresh_in_progress = True
def refresh_done(val_or_error):
self._metadata_refresh_in_progress = False
future.add_callback(refresh_done)
future.add_errback(refresh_done)
return self.config['request_timeout_ms']
# If there's any connection establishment underway, wait until it completes. This prevents
# the client from unnecessarily connecting to additional nodes while a previous connection
# attempt has not been completed.
if self._connecting:
return self.config['reconnect_backoff_ms']
if self.maybe_connect(node_id, wakeup=wakeup):
log.debug("Initializing connection to node %s for metadata request", node_id)
return self.config['reconnect_backoff_ms']
# connected but can't send more, OR connecting
# In either case we just need to wait for a network event
# to let us know the selected connection might be usable again.
return float('inf')
[docs] def get_api_versions(self):
"""Return the ApiVersions map, if available.
Note: A call to check_version must previously have succeeded and returned
version 0.10.0 or later
Returns: a map of dict mapping {api_key : (min_version, max_version)},
or None if ApiVersion is not supported by the kafka cluster.
"""
return self._api_versions
[docs] def check_version(self, node_id=None, timeout=2, strict=False):
"""Attempt to guess the version of a Kafka broker.
Note: It is possible that this method blocks longer than the
specified timeout. This can happen if the entire cluster
is down and the client enters a bootstrap backoff sleep.
This is only possible if node_id is None.
Returns: version tuple, i.e. (0, 10), (0, 9), (0, 8, 2), ...
Raises:
NodeNotReadyError (if node_id is provided)
NoBrokersAvailable (if node_id is None)
UnrecognizedBrokerVersion: please file bug if seen!
AssertionError (if strict=True): please file bug if seen!
"""
self._lock.acquire()
end = time.time() + timeout
while time.time() < end:
# It is possible that least_loaded_node falls back to bootstrap,
# which can block for an increasing backoff period
try_node = node_id or self.least_loaded_node()
if try_node is None:
self._lock.release()
raise Errors.NoBrokersAvailable()
self._maybe_connect(try_node)
conn = self._conns[try_node]
# We will intentionally cause socket failures
# These should not trigger metadata refresh
self._refresh_on_disconnects = False
try:
remaining = end - time.time()
version = conn.check_version(timeout=remaining, strict=strict, topics=list(self.config['bootstrap_topics_filter']))
if version >= (0, 10, 0):
# cache the api versions map if it's available (starting
# in 0.10 cluster version)
self._api_versions = conn.get_api_versions()
self._lock.release()
return version
except Errors.NodeNotReadyError:
# Only raise to user if this is a node-specific request
if node_id is not None:
self._lock.release()
raise
finally:
self._refresh_on_disconnects = True
# Timeout
else:
self._lock.release()
raise Errors.NoBrokersAvailable()
def wakeup(self):
with self._wake_lock:
try:
self._wake_w.sendall(b'x')
except socket.timeout:
log.warning('Timeout to send to wakeup socket!')
raise Errors.KafkaTimeoutError()
except socket.error:
log.warning('Unable to send to wakeup socket!')
def _clear_wake_fd(self):
# reading from wake socket should only happen in a single thread
while True:
try:
self._wake_r.recv(1024)
except socket.error:
break
def _maybe_close_oldest_connection(self):
expired_connection = self._idle_expiry_manager.poll_expired_connection()
if expired_connection:
conn_id, ts = expired_connection
idle_ms = (time.time() - ts) * 1000
log.info('Closing idle connection %s, last active %d ms ago', conn_id, idle_ms)
self.close(node_id=conn_id)
[docs] def bootstrap_connected(self):
"""Return True if a bootstrap node is connected"""
for node_id in self._conns:
if not self.cluster.is_bootstrap(node_id):
continue
if self._conns[node_id].connected():
return True
else:
return False
# OrderedDict requires python2.7+
try:
from collections import OrderedDict
except ImportError:
# If we dont have OrderedDict, we'll fallback to dict with O(n) priority reads
OrderedDict = dict
class IdleConnectionManager(object):
def __init__(self, connections_max_idle_ms):
if connections_max_idle_ms > 0:
self.connections_max_idle = connections_max_idle_ms / 1000
else:
self.connections_max_idle = float('inf')
self.next_idle_close_check_time = None
self.update_next_idle_close_check_time(time.time())
self.lru_connections = OrderedDict()
def update(self, conn_id):
# order should reflect last-update
if conn_id in self.lru_connections:
del self.lru_connections[conn_id]
self.lru_connections[conn_id] = time.time()
def remove(self, conn_id):
if conn_id in self.lru_connections:
del self.lru_connections[conn_id]
def is_expired(self, conn_id):
if conn_id not in self.lru_connections:
return None
return time.time() >= self.lru_connections[conn_id] + self.connections_max_idle
def next_check_ms(self):
now = time.time()
if not self.lru_connections:
return float('inf')
elif self.next_idle_close_check_time <= now:
return 0
else:
return int((self.next_idle_close_check_time - now) * 1000)
def update_next_idle_close_check_time(self, ts):
self.next_idle_close_check_time = ts + self.connections_max_idle
def poll_expired_connection(self):
if time.time() < self.next_idle_close_check_time:
return None
if not len(self.lru_connections):
return None
oldest_conn_id = None
oldest_ts = None
if OrderedDict is dict:
for conn_id, ts in self.lru_connections.items():
if oldest_conn_id is None or ts < oldest_ts:
oldest_conn_id = conn_id
oldest_ts = ts
else:
(oldest_conn_id, oldest_ts) = next(iter(self.lru_connections.items()))
self.update_next_idle_close_check_time(oldest_ts)
if time.time() >= oldest_ts + self.connections_max_idle:
return (oldest_conn_id, oldest_ts)
else:
return None
class KafkaClientMetrics(object):
def __init__(self, metrics, metric_group_prefix, conns):
self.metrics = metrics
self.metric_group_name = metric_group_prefix + '-metrics'
self.connection_closed = metrics.sensor('connections-closed')
self.connection_closed.add(metrics.metric_name(
'connection-close-rate', self.metric_group_name,
'Connections closed per second in the window.'), Rate())
self.connection_created = metrics.sensor('connections-created')
self.connection_created.add(metrics.metric_name(
'connection-creation-rate', self.metric_group_name,
'New connections established per second in the window.'), Rate())
self.select_time = metrics.sensor('select-time')
self.select_time.add(metrics.metric_name(
'select-rate', self.metric_group_name,
'Number of times the I/O layer checked for new I/O to perform per'
' second'), Rate(sampled_stat=Count()))
self.select_time.add(metrics.metric_name(
'io-wait-time-ns-avg', self.metric_group_name,
'The average length of time the I/O thread spent waiting for a'
' socket ready for reads or writes in nanoseconds.'), Avg())
self.select_time.add(metrics.metric_name(
'io-wait-ratio', self.metric_group_name,
'The fraction of time the I/O thread spent waiting.'),
Rate(time_unit=TimeUnit.NANOSECONDS))
self.io_time = metrics.sensor('io-time')
self.io_time.add(metrics.metric_name(
'io-time-ns-avg', self.metric_group_name,
'The average length of time for I/O per select call in nanoseconds.'),
Avg())
self.io_time.add(metrics.metric_name(
'io-ratio', self.metric_group_name,
'The fraction of time the I/O thread spent doing I/O'),
Rate(time_unit=TimeUnit.NANOSECONDS))
metrics.add_metric(metrics.metric_name(
'connection-count', self.metric_group_name,
'The current number of active connections.'), AnonMeasurable(
lambda config, now: len(conns)))