cb2ec23cee
To let other OpenStack projects move forward with new versions of kafka-python we're forking kafka-python and embedding it in monasca-common. This allows us to migrate to the new async interfaces provided by more recent kafka clients over time and not block other projects. Requiring pykafka to allow us to have ~4x more throughput once we write to their async interfaces. Change-Id: Ifb6ab67ce1335a5ec4ed7dd8b0027dc9d46a6dda Depends-On: I26f9c588f2818059ab6ba24f9fad8e213798a39c
59 lines
1.8 KiB
Python
59 lines
1.8 KiB
Python
from __future__ import absolute_import
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from itertools import cycle
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import logging
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import random
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import six
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from six.moves import xrange
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from .base import Producer
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log = logging.getLogger(__name__)
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class SimpleProducer(Producer):
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"""A simple, round-robin producer.
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See Producer class for Base Arguments
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Additional Arguments:
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random_start (bool, optional): randomize the initial partition which
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the first message block will be published to, otherwise
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if false, the first message block will always publish
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to partition 0 before cycling through each partition,
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defaults to True.
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"""
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def __init__(self, *args, **kwargs):
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self.partition_cycles = {}
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self.random_start = kwargs.pop('random_start', True)
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super(SimpleProducer, self).__init__(*args, **kwargs)
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def _next_partition(self, topic):
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if topic not in self.partition_cycles:
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if not self.client.has_metadata_for_topic(topic):
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self.client.load_metadata_for_topics(topic)
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self.partition_cycles[topic] = cycle(self.client.get_partition_ids_for_topic(topic))
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# Randomize the initial partition that is returned
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if self.random_start:
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num_partitions = len(self.client.get_partition_ids_for_topic(topic))
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for _ in xrange(random.randint(0, num_partitions-1)):
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next(self.partition_cycles[topic])
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return next(self.partition_cycles[topic])
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def send_messages(self, topic, *msg):
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if not isinstance(topic, six.binary_type):
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topic = topic.encode('utf-8')
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partition = self._next_partition(topic)
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return super(SimpleProducer, self).send_messages(
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topic, partition, *msg
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)
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def __repr__(self):
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return '<SimpleProducer batch=%s>' % self.async
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