
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
24 lines
720 B
Python
24 lines
720 B
Python
from itertools import cycle
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from .base import Partitioner
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class RoundRobinPartitioner(Partitioner):
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"""
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Implements a round robin partitioner which sends data to partitions
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in a round robin fashion
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"""
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def __init__(self, partitions):
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super(RoundRobinPartitioner, self).__init__(partitions)
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self.iterpart = cycle(partitions)
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def _set_partitions(self, partitions):
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self.partitions = partitions
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self.iterpart = cycle(partitions)
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def partition(self, key, partitions=None):
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# Refresh the partition list if necessary
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if partitions and self.partitions != partitions:
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self._set_partitions(partitions)
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return next(self.iterpart)
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