2247194f08
In confluent Kafka driver, brokers option is string type not list type. Comma separated list of host/port pairs. See https://github.com/confluentinc/confluent-kafka-python/blob/master/README.md Story: 2003705 Task: 36199 Change-Id: I5961ee32c91a9a946831a36dc88413e56b251e1e
94 lines
3.7 KiB
Python
94 lines
3.7 KiB
Python
# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain 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,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
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# implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import datetime
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import logging
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import time
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import confluent_kafka
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log = logging.getLogger(__name__)
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class KafkaConsumer(object):
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"""Wrapper around high-level Kafka Consumer"""
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def __init__(self, bootstrap_servers, group_id, topic,
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fetch_min_bytes=1048576, client_id="",
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repartition_callback=None, commit_callback=None,
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max_commit_interval=30, timeout=10000):
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"""
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Create new high-level Consumer instance.
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:param str bootstrap_servers: Comma separated list of host/port pairs to
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use for establishing the initial connection to the Kafka cluster.
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:param str group_id: A unique string that identifies the consumer group
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this consumer belongs to.
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:param str topic: Topic to subscribe to.
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:param int fetch_min_bytes: The minimum amount of data the server
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should return for a fetch request.
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:param str client_id: An id string to pass to the server when making
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requests.
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:param callable repartition_callback: Callback function executed on the
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start of a rebalance operation.
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:param callable commit_callback: Callback function responsible for
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calling the commit() method.
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:param int max_commit_interval: Maximum time in seconds between commits.
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:param int timeout: Client group session and failure detection timeout.
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"""
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consumer_config = {'bootstrap.servers': bootstrap_servers,
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'group.id': group_id,
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'session.timeout.ms': timeout,
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'fetch.min.bytes': fetch_min_bytes,
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'client.id': client_id,
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'enable.auto.commit': False,
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'default.topic.config':
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{'auto.offset.reset': 'earliest'}
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}
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self._commit_callback = commit_callback
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self._max_commit_interval = max_commit_interval
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self._consumer = confluent_kafka.Consumer(consumer_config)
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if repartition_callback:
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self._consumer.subscribe([topic], on_revoke=repartition_callback)
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else:
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self._consumer.subscribe([topic])
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self._last_commit = None
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def __iter__(self):
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self._last_commit = datetime.datetime.now()
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while True:
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message = self._consumer.poll(timeout=5)
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if message is None:
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time.sleep(0.1)
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elif not message.error():
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yield message
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elif message.error().code() == \
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confluent_kafka.KafkaError._PARTITION_EOF:
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time.sleep(0.1)
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continue
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else:
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log.error("Kafka error: %s", message.error().str())
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raise confluent_kafka.KafkaException(message.error())
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if self._commit_callback:
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time_now = datetime.datetime.now()
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time_delta = time_now - self._last_commit
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if time_delta.total_seconds() > self._max_commit_interval:
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self._commit_callback()
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def commit(self):
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self._last_commit = datetime.datetime.now()
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self._consumer.commit()
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