59 lines
1.8 KiB
Python
59 lines
1.8 KiB
Python
from __future__ import absolute_import
|
|
|
|
from itertools import cycle
|
|
import logging
|
|
import random
|
|
import six
|
|
|
|
from six.moves import xrange
|
|
|
|
from .base import Producer
|
|
|
|
|
|
log = logging.getLogger(__name__)
|
|
|
|
|
|
class SimpleProducer(Producer):
|
|
"""A simple, round-robin producer.
|
|
|
|
See Producer class for Base Arguments
|
|
|
|
Additional Arguments:
|
|
random_start (bool, optional): randomize the initial partition which
|
|
the first message block will be published to, otherwise
|
|
if false, the first message block will always publish
|
|
to partition 0 before cycling through each partition,
|
|
defaults to True.
|
|
"""
|
|
def __init__(self, *args, **kwargs):
|
|
self.partition_cycles = {}
|
|
self.random_start = kwargs.pop('random_start', True)
|
|
super(SimpleProducer, self).__init__(*args, **kwargs)
|
|
|
|
def _next_partition(self, topic):
|
|
if topic not in self.partition_cycles:
|
|
if not self.client.has_metadata_for_topic(topic):
|
|
self.client.load_metadata_for_topics(topic)
|
|
|
|
self.partition_cycles[topic] = cycle(self.client.get_partition_ids_for_topic(topic))
|
|
|
|
# Randomize the initial partition that is returned
|
|
if self.random_start:
|
|
num_partitions = len(self.client.get_partition_ids_for_topic(topic))
|
|
for _ in xrange(random.randint(0, num_partitions-1)):
|
|
next(self.partition_cycles[topic])
|
|
|
|
return next(self.partition_cycles[topic])
|
|
|
|
def send_messages(self, topic, *msg):
|
|
if not isinstance(topic, six.binary_type):
|
|
topic = topic.encode('utf-8')
|
|
|
|
partition = self._next_partition(topic)
|
|
return super(SimpleProducer, self).send_messages(
|
|
topic, partition, *msg
|
|
)
|
|
|
|
def __repr__(self):
|
|
return '<SimpleProducer batch=%s>' % self.async
|