380 lines
13 KiB
Python
380 lines
13 KiB
Python
# Copyright (C) 2015 Cisco Systems, Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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# Following code fixes 2 issues with kafka-python and
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# The current release of eventlet (0.19.0) does not actually remove
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# select.poll [1]. Because of kafka-python.selectors34 selects
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# PollSelector instead of SelectSelector [2]. PollSelector relies on
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# select.poll, which does not work when eventlet/greenlet is used. This
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# bug in evenlet is fixed in the master branch [3], but there's no
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# release of eventlet that includes this fix at this point.
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import json
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import threading
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import kafka
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from kafka.client_async import selectors
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import kafka.errors
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from oslo_log import log as logging
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from oslo_utils import eventletutils
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import tenacity
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from oslo_messaging._drivers import base
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from oslo_messaging._drivers import common as driver_common
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from oslo_messaging._drivers import kafka_options
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from oslo_messaging._drivers import pool as driver_pool
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from oslo_messaging._i18n import _LE
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from oslo_messaging._i18n import _LW
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from oslo_serialization import jsonutils
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import logging as l
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l.basicConfig(level=l.INFO)
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l.getLogger("kafka").setLevel(l.WARN)
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l.getLogger("stevedore").setLevel(l.WARN)
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if eventletutils.is_monkey_patched('select'):
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# monkeypatch the vendored SelectSelector._select like eventlet does
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# https://github.com/eventlet/eventlet/blob/master/eventlet/green/selectors.py#L32
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from eventlet.green import select
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selectors.SelectSelector._select = staticmethod(select.select)
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# Force to use the select selectors
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KAFKA_SELECTOR = selectors.SelectSelector
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else:
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KAFKA_SELECTOR = selectors.DefaultSelector
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LOG = logging.getLogger(__name__)
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def unpack_message(msg):
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context = {}
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message = None
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msg = json.loads(msg)
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message = driver_common.deserialize_msg(msg)
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context = message['_context']
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del message['_context']
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return context, message
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def pack_message(ctxt, msg):
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"""Pack context into msg."""
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if isinstance(ctxt, dict):
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context_d = ctxt
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else:
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context_d = ctxt.to_dict()
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msg['_context'] = context_d
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msg = driver_common.serialize_msg(msg)
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return msg
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def target_to_topic(target, priority=None):
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"""Convert target into topic string
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:param target: Message destination target
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:type target: oslo_messaging.Target
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:param priority: Notification priority
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:type priority: string
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"""
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if not priority:
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return target.topic
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return target.topic + '.' + priority
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def retry_on_retriable_kafka_error(exc):
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return (isinstance(exc, kafka.errors.KafkaError) and exc.retriable)
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def with_reconnect(retries=None):
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def decorator(func):
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@tenacity.retry(
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retry=tenacity.retry_if_exception(retry_on_retriable_kafka_error),
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wait=tenacity.wait_fixed(1),
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stop=tenacity.stop_after_attempt(retries),
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reraise=True
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)
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def wrapper(*args, **kwargs):
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return func(*args, **kwargs)
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return wrapper
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return decorator
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class Connection(object):
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def __init__(self, conf, url, purpose):
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self.client = None
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driver_conf = conf.oslo_messaging_kafka
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self.batch_size = driver_conf.producer_batch_size
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self.linger_ms = driver_conf.producer_batch_timeout * 1000
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self.conf = conf
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self.producer = None
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self.producer_lock = threading.Lock()
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self.consumer = None
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self.consumer_timeout = float(driver_conf.kafka_consumer_timeout)
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self.max_fetch_bytes = driver_conf.kafka_max_fetch_bytes
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self.group_id = driver_conf.consumer_group
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self.url = url
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self._parse_url()
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self._consume_loop_stopped = False
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def _parse_url(self):
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driver_conf = self.conf.oslo_messaging_kafka
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self.hostaddrs = []
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for host in self.url.hosts:
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if host.hostname:
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self.hostaddrs.append("%s:%s" % (
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host.hostname,
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host.port or driver_conf.kafka_default_port))
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if not self.hostaddrs:
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self.hostaddrs.append("%s:%s" % (driver_conf.kafka_default_host,
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driver_conf.kafka_default_port))
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def notify_send(self, topic, ctxt, msg, retry):
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"""Send messages to Kafka broker.
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:param topic: String of the topic
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:param ctxt: context for the messages
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:param msg: messages for publishing
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:param retry: the number of retry
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"""
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retry = retry if retry >= 0 else None
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message = pack_message(ctxt, msg)
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message = jsonutils.dumps(message)
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@with_reconnect(retries=retry)
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def wrapped_with_reconnect():
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self._ensure_producer()
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# NOTE(sileht): This returns a future, we can use get()
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# if we want to block like other driver
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self.producer.send(topic, message)
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try:
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wrapped_with_reconnect()
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except Exception:
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# NOTE(sileht): if something goes wrong close the producer
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# connection
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self._close_producer()
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raise
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@with_reconnect()
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def _poll_messages(self, timeout):
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messages = self.consumer.poll(timeout * 1000.0)
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messages = [record.value
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for records in messages.values() if records
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for record in records]
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if not messages:
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# NOTE(sileht): really ? you return payload but no messages...
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# simulate timeout to consume message again
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raise kafka.errors.ConsumerTimeout()
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return messages
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def consume(self, timeout=None):
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"""Receive up to 'max_fetch_messages' messages.
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:param timeout: poll timeout in seconds
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"""
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def _raise_timeout(exc):
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raise driver_common.Timeout(exc.message)
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timer = driver_common.DecayingTimer(duration=timeout)
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timer.start()
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poll_timeout = (self.consumer_timeout if timeout is None
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else min(timeout, self.consumer_timeout))
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while True:
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if self._consume_loop_stopped:
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return
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try:
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return self._poll_messages(poll_timeout)
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except kafka.errors.ConsumerTimeout as exc:
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poll_timeout = timer.check_return(
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_raise_timeout, exc, maximum=self.consumer_timeout)
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except Exception:
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LOG.exception(_LE("Failed to consume messages"))
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return
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def stop_consuming(self):
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self._consume_loop_stopped = True
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def reset(self):
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"""Reset a connection so it can be used again."""
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pass
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def close(self):
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self._close_producer()
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if self.consumer:
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self.consumer.close()
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self.consumer = None
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def _close_producer(self):
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with self.producer_lock:
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if self.producer:
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self.producer.close()
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self.producer = None
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def _ensure_producer(self):
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if self.producer:
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return
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with self.producer_lock:
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if self.producer:
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return
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self.producer = kafka.KafkaProducer(
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bootstrap_servers=self.hostaddrs,
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linger_ms=self.linger_ms,
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batch_size=self.batch_size,
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selector=KAFKA_SELECTOR)
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@with_reconnect()
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def declare_topic_consumer(self, topics, group=None):
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# TODO(Support for manual/auto_commit functionality)
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# When auto_commit is False, consumer can manually notify
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# the completion of the subscription.
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# Currently we don't support for non auto commit option
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self.consumer = kafka.KafkaConsumer(
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*topics, group_id=(group or self.group_id),
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bootstrap_servers=self.hostaddrs,
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max_partition_fetch_bytes=self.max_fetch_bytes,
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selector=KAFKA_SELECTOR
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)
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class OsloKafkaMessage(base.RpcIncomingMessage):
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def __init__(self, ctxt, message):
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super(OsloKafkaMessage, self).__init__(ctxt, message)
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def requeue(self):
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LOG.warning(_LW("requeue is not supported"))
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def reply(self, reply=None, failure=None):
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LOG.warning(_LW("reply is not supported"))
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class KafkaListener(base.PollStyleListener):
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def __init__(self, conn):
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super(KafkaListener, self).__init__()
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self._stopped = threading.Event()
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self.conn = conn
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self.incoming_queue = []
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@base.batch_poll_helper
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def poll(self, timeout=None):
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while not self._stopped.is_set():
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if self.incoming_queue:
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return self.incoming_queue.pop(0)
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try:
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messages = self.conn.consume(timeout=timeout) or []
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for message in messages:
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msg = OsloKafkaMessage(*unpack_message(message))
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self.incoming_queue.append(msg)
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except driver_common.Timeout:
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return None
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def stop(self):
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self._stopped.set()
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self.conn.stop_consuming()
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def cleanup(self):
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self.conn.close()
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class KafkaDriver(base.BaseDriver):
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"""Note: Current implementation of this driver is experimental.
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We will have functional and/or integrated testing enabled for this driver.
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"""
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def __init__(self, conf, url, default_exchange=None,
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allowed_remote_exmods=None):
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super(KafkaDriver, self).__init__(
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conf, url, default_exchange, allowed_remote_exmods)
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kafka_options.register_opts(conf)
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# the pool configuration properties
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max_size = self.conf.oslo_messaging_kafka.pool_size
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min_size = self.conf.oslo_messaging_kafka.conn_pool_min_size
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ttl = self.conf.oslo_messaging_kafka.conn_pool_ttl
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self.connection_pool = driver_pool.ConnectionPool(
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self.conf, max_size, min_size, ttl,
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self._url, Connection)
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self.listeners = []
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def cleanup(self):
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for c in self.listeners:
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c.close()
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self.listeners = []
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def send(self, target, ctxt, message, wait_for_reply=None, timeout=None,
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retry=None):
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raise NotImplementedError(
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'The RPC implementation for Kafka is not implemented')
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def send_notification(self, target, ctxt, message, version, retry=None):
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"""Send notification to Kafka brokers
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:param target: Message destination target
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:type target: oslo_messaging.Target
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:param ctxt: Message context
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:type ctxt: dict
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:param message: Message payload to pass
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:type message: dict
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:param version: Messaging API version (currently not used)
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:type version: str
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:param retry: an optional default kafka consumer retries configuration
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None means to retry forever
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0 means no retry
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N means N retries
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:type retry: int
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"""
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with self._get_connection(purpose=driver_common.PURPOSE_SEND) as conn:
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conn.notify_send(target_to_topic(target), ctxt, message, retry)
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def listen(self, target, batch_size, batch_timeout):
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raise NotImplementedError(
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'The RPC implementation for Kafka is not implemented')
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def listen_for_notifications(self, targets_and_priorities, pool,
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batch_size, batch_timeout):
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"""Listen to a specified list of targets on Kafka brokers
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:param targets_and_priorities: List of pairs (target, priority)
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priority is not used for kafka driver
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target.exchange_target.topic is used as
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a kafka topic
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:type targets_and_priorities: list
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:param pool: consumer group of Kafka consumers
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:type pool: string
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"""
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conn = self._get_connection(purpose=driver_common.PURPOSE_LISTEN)
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topics = set()
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for target, priority in targets_and_priorities:
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topics.add(target_to_topic(target, priority))
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conn.declare_topic_consumer(topics, pool)
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listener = KafkaListener(conn)
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return base.PollStyleListenerAdapter(listener, batch_size,
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batch_timeout)
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def _get_connection(self, purpose):
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return driver_common.ConnectionContext(self.connection_pool, purpose)
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