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# -*- coding: utf-8 -*-
import collections
import logging
import time
from mock import MagicMock, patch
from . import unittest
from kafka import KafkaClient, SimpleProducer, KeyedProducer
from kafka.common import (
AsyncProducerQueueFull, FailedPayloadsError, NotLeaderForPartitionError,
ProduceResponse, RetryOptions, TopicAndPartition
)
from kafka.producer.base import Producer, _send_upstream
from kafka.protocol import CODEC_NONE
import threading
try:
from queue import Empty, Queue
except ImportError:
from Queue import Empty, Queue
try:
xrange
except NameError:
xrange = range
class TestKafkaProducer(unittest.TestCase):
def test_producer_message_types(self):
producer = Producer(MagicMock())
topic = b"test-topic"
partition = 0
bad_data_types = (u'你怎么样?', 12, ['a', 'list'],
('a', 'tuple'), {'a': 'dict'}, None,)
for m in bad_data_types:
with self.assertRaises(TypeError):
logging.debug("attempting to send message of type %s", type(m))
producer.send_messages(topic, partition, m)
good_data_types = (b'a string!',)
for m in good_data_types:
# This should not raise an exception
producer.send_messages(topic, partition, m)
def test_keyedproducer_message_types(self):
client = MagicMock()
client.get_partition_ids_for_topic.return_value = [0, 1]
producer = KeyedProducer(client)
topic = b"test-topic"
key = b"testkey"
bad_data_types = (u'你怎么样?', 12, ['a', 'list'],
('a', 'tuple'), {'a': 'dict'},)
for m in bad_data_types:
with self.assertRaises(TypeError):
logging.debug("attempting to send message of type %s", type(m))
producer.send_messages(topic, key, m)
good_data_types = (b'a string!', None,)
for m in good_data_types:
# This should not raise an exception
producer.send_messages(topic, key, m)
def test_topic_message_types(self):
client = MagicMock()
def partitions(topic):
return [0, 1]
client.get_partition_ids_for_topic = partitions
producer = SimpleProducer(client, random_start=False)
topic = b"test-topic"
producer.send_messages(topic, b'hi')
assert client.send_produce_request.called
@patch('kafka.producer.base._send_upstream')
def test_producer_async_queue_overfilled(self, mock):
queue_size = 2
producer = Producer(MagicMock(), async=True,
async_queue_maxsize=queue_size)
topic = b'test-topic'
partition = 0
message = b'test-message'
with self.assertRaises(AsyncProducerQueueFull):
message_list = [message] * (queue_size + 1)
producer.send_messages(topic, partition, *message_list)
self.assertEqual(producer.queue.qsize(), queue_size)
for _ in xrange(producer.queue.qsize()):
producer.queue.get()
def test_producer_sync_fail_on_error(self):
error = FailedPayloadsError('failure')
with patch.object(KafkaClient, 'load_metadata_for_topics'):
with patch.object(KafkaClient, 'get_partition_ids_for_topic', return_value=[0, 1]):
with patch.object(KafkaClient, '_send_broker_aware_request', return_value = [error]):
client = KafkaClient(MagicMock())
producer = SimpleProducer(client, async=False, sync_fail_on_error=False)
# This should not raise
(response,) = producer.send_messages('foobar', b'test message')
self.assertEqual(response, error)
producer = SimpleProducer(client, async=False, sync_fail_on_error=True)
with self.assertRaises(FailedPayloadsError):
producer.send_messages('foobar', b'test message')
def test_cleanup_is_not_called_on_stopped_producer(self):
producer = Producer(MagicMock(), async=True)
producer.stopped = True
with patch.object(producer, 'stop') as mocked_stop:
producer._cleanup_func(producer)
self.assertEqual(mocked_stop.call_count, 0)
def test_cleanup_is_called_on_running_producer(self):
producer = Producer(MagicMock(), async=True)
producer.stopped = False
with patch.object(producer, 'stop') as mocked_stop:
producer._cleanup_func(producer)
self.assertEqual(mocked_stop.call_count, 1)
class TestKafkaProducerSendUpstream(unittest.TestCase):
def setUp(self):
self.client = MagicMock()
self.queue = Queue()
def _run_process(self, retries_limit=3, sleep_timeout=1):
# run _send_upstream process with the queue
stop_event = threading.Event()
retry_options = RetryOptions(limit=retries_limit,
backoff_ms=50,
retry_on_timeouts=False)
self.thread = threading.Thread(
target=_send_upstream,
args=(self.queue, self.client, CODEC_NONE,
0.3, # batch time (seconds)
3, # batch length
Producer.ACK_AFTER_LOCAL_WRITE,
Producer.DEFAULT_ACK_TIMEOUT,
retry_options,
stop_event))
self.thread.daemon = True
self.thread.start()
time.sleep(sleep_timeout)
stop_event.set()
def test_wo_retries(self):
# lets create a queue and add 10 messages for 1 partition
for i in range(10):
self.queue.put((TopicAndPartition("test", 0), "msg %i", "key %i"))
self._run_process()
# the queue should be void at the end of the test
self.assertEqual(self.queue.empty(), True)
# there should be 4 non-void cals:
# 3 batches of 3 msgs each + 1 batch of 1 message
self.assertEqual(self.client.send_produce_request.call_count, 4)
def test_first_send_failed(self):
# lets create a queue and add 10 messages for 10 different partitions
# to show how retries should work ideally
for i in range(10):
self.queue.put((TopicAndPartition("test", i), "msg %i", "key %i"))
# Mock offsets counter for closure
offsets = collections.defaultdict(lambda: collections.defaultdict(lambda: 0))
self.client.is_first_time = True
def send_side_effect(reqs, *args, **kwargs):
if self.client.is_first_time:
self.client.is_first_time = False
return [FailedPayloadsError(req) for req in reqs]
responses = []
for req in reqs:
offset = offsets[req.topic][req.partition]
offsets[req.topic][req.partition] += len(req.messages)
responses.append(
ProduceResponse(req.topic, req.partition, 0, offset)
)
return responses
self.client.send_produce_request.side_effect = send_side_effect
self._run_process(2)
# the queue should be void at the end of the test
self.assertEqual(self.queue.empty(), True)
# there should be 5 non-void calls: 1st failed batch of 3 msgs
# plus 3 batches of 3 msgs each + 1 batch of 1 message
self.assertEqual(self.client.send_produce_request.call_count, 5)
def test_with_limited_retries(self):
# lets create a queue and add 10 messages for 10 different partitions
# to show how retries should work ideally
for i in range(10):
self.queue.put((TopicAndPartition("test", i), "msg %i" % i, "key %i" % i))
def send_side_effect(reqs, *args, **kwargs):
return [FailedPayloadsError(req) for req in reqs]
self.client.send_produce_request.side_effect = send_side_effect
self._run_process(3, 3)
# the queue should be void at the end of the test
self.assertEqual(self.queue.empty(), True)
# there should be 16 non-void calls:
# 3 initial batches of 3 msgs each + 1 initial batch of 1 msg +
# 3 retries of the batches above = (1 + 3 retries) * 4 batches = 16
self.assertEqual(self.client.send_produce_request.call_count, 16)
def test_async_producer_not_leader(self):
for i in range(10):
self.queue.put((TopicAndPartition("test", i), "msg %i", "key %i"))
# Mock offsets counter for closure
offsets = collections.defaultdict(lambda: collections.defaultdict(lambda: 0))
self.client.is_first_time = True
def send_side_effect(reqs, *args, **kwargs):
if self.client.is_first_time:
self.client.is_first_time = False
return [ProduceResponse(req.topic, req.partition,
NotLeaderForPartitionError.errno, -1)
for req in reqs]
responses = []
for req in reqs:
offset = offsets[req.topic][req.partition]
offsets[req.topic][req.partition] += len(req.messages)
responses.append(
ProduceResponse(req.topic, req.partition, 0, offset)
)
return responses
self.client.send_produce_request.side_effect = send_side_effect
self._run_process(2)
# the queue should be void at the end of the test
self.assertEqual(self.queue.empty(), True)
# there should be 5 non-void calls: 1st failed batch of 3 msgs
# + 3 batches of 3 msgs each + 1 batch of 1 msg = 1 + 3 + 1 = 5
self.assertEqual(self.client.send_produce_request.call_count, 5)
def tearDown(self):
for _ in xrange(self.queue.qsize()):
self.queue.get()
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