1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
|
import os
from datetime import datetime
from kafka import * # noqa
from kafka.common import * # noqa
from kafka.consumer import MAX_FETCH_BUFFER_SIZE_BYTES
from fixtures import ZookeeperFixture, KafkaFixture
from testutil import *
class TestConsumerIntegration(KafkaIntegrationTestCase):
@classmethod
def setUpClass(cls):
if not os.environ.get('KAFKA_VERSION'):
return
cls.zk = ZookeeperFixture.instance()
cls.server1 = KafkaFixture.instance(0, cls.zk.host, cls.zk.port)
cls.server2 = KafkaFixture.instance(1, cls.zk.host, cls.zk.port)
cls.server = cls.server1 # Bootstrapping server
@classmethod
def tearDownClass(cls):
if not os.environ.get('KAFKA_VERSION'):
return
cls.server1.close()
cls.server2.close()
cls.zk.close()
def send_messages(self, partition, messages):
messages = [ create_message(self.msg(str(msg))) for msg in messages ]
produce = ProduceRequest(self.topic, partition, messages = messages)
resp, = self.client.send_produce_request([produce])
self.assertEquals(resp.error, 0)
return [ x.value for x in messages ]
def assert_message_count(self, messages, num_messages):
# Make sure we got them all
self.assertEquals(len(messages), num_messages)
# Make sure there are no duplicates
self.assertEquals(len(set(messages)), num_messages)
@kafka_versions("all")
def test_simple_consumer(self):
self.send_messages(0, range(0, 100))
self.send_messages(1, range(100, 200))
# Start a consumer
consumer = self.consumer()
self.assert_message_count([ message for message in consumer ], 200)
consumer.stop()
@kafka_versions("all")
def test_simple_consumer__seek(self):
self.send_messages(0, range(0, 100))
self.send_messages(1, range(100, 200))
consumer = self.consumer()
# Rewind 10 messages from the end
consumer.seek(-10, 2)
self.assert_message_count([ message for message in consumer ], 10)
# Rewind 13 messages from the end
consumer.seek(-13, 2)
self.assert_message_count([ message for message in consumer ], 13)
consumer.stop()
@kafka_versions("all")
def test_simple_consumer_blocking(self):
consumer = self.consumer()
# Ask for 5 messages, nothing in queue, block 5 seconds
with Timer() as t:
messages = consumer.get_messages(block=True, timeout=5)
self.assert_message_count(messages, 0)
self.assertGreaterEqual(t.interval, 5)
self.send_messages(0, range(0, 10))
# Ask for 5 messages, 10 in queue. Get 5 back, no blocking
with Timer() as t:
messages = consumer.get_messages(count=5, block=True, timeout=5)
self.assert_message_count(messages, 5)
self.assertLessEqual(t.interval, 1)
# Ask for 10 messages, get 5 back, block 5 seconds
with Timer() as t:
messages = consumer.get_messages(count=10, block=True, timeout=5)
self.assert_message_count(messages, 5)
self.assertGreaterEqual(t.interval, 5)
consumer.stop()
@kafka_versions("all")
def test_simple_consumer_pending(self):
# Produce 10 messages to partitions 0 and 1
self.send_messages(0, range(0, 10))
self.send_messages(1, range(10, 20))
consumer = self.consumer()
self.assertEquals(consumer.pending(), 20)
self.assertEquals(consumer.pending(partitions=[0]), 10)
self.assertEquals(consumer.pending(partitions=[1]), 10)
consumer.stop()
@kafka_versions("all")
def test_multi_process_consumer(self):
# Produce 100 messages to partitions 0 and 1
self.send_messages(0, range(0, 100))
self.send_messages(1, range(100, 200))
consumer = self.consumer(consumer = MultiProcessConsumer)
self.assert_message_count([ message for message in consumer ], 200)
consumer.stop()
@kafka_versions("all")
def test_multi_process_consumer_blocking(self):
consumer = self.consumer(consumer = MultiProcessConsumer)
# Ask for 5 messages, No messages in queue, block 5 seconds
with Timer() as t:
messages = consumer.get_messages(block=True, timeout=5)
self.assert_message_count(messages, 0)
self.assertGreaterEqual(t.interval, 5)
# Send 10 messages
self.send_messages(0, range(0, 10))
# Ask for 5 messages, 10 messages in queue, block 0 seconds
with Timer() as t:
messages = consumer.get_messages(count=5, block=True, timeout=5)
self.assert_message_count(messages, 5)
self.assertLessEqual(t.interval, 1)
# Ask for 10 messages, 5 in queue, block 5 seconds
with Timer() as t:
messages = consumer.get_messages(count=10, block=True, timeout=5)
self.assert_message_count(messages, 5)
self.assertGreaterEqual(t.interval, 5)
consumer.stop()
@kafka_versions("all")
def test_multi_proc_pending(self):
self.send_messages(0, range(0, 10))
self.send_messages(1, range(10, 20))
consumer = MultiProcessConsumer(self.client, "group1", self.topic, auto_commit=False)
self.assertEquals(consumer.pending(), 20)
self.assertEquals(consumer.pending(partitions=[0]), 10)
self.assertEquals(consumer.pending(partitions=[1]), 10)
consumer.stop()
@kafka_versions("all")
def test_large_messages(self):
# Produce 10 "normal" size messages
small_messages = self.send_messages(0, [ str(x) for x in range(10) ])
# Produce 10 messages that are large (bigger than default fetch size)
large_messages = self.send_messages(0, [ random_string(5000) for x in range(10) ])
# Consumer should still get all of them
consumer = self.consumer()
expected_messages = set(small_messages + large_messages)
actual_messages = set([ x.message.value for x in consumer ])
self.assertEqual(expected_messages, actual_messages)
consumer.stop()
@kafka_versions("all")
def test_huge_messages(self):
huge_message, = self.send_messages(0, [
create_message(random_string(MAX_FETCH_BUFFER_SIZE_BYTES + 10)),
])
# Create a consumer with the default buffer size
consumer = self.consumer()
# This consumer failes to get the message
with self.assertRaises(ConsumerFetchSizeTooSmall):
consumer.get_message(False, 0.1)
consumer.stop()
# Create a consumer with no fetch size limit
big_consumer = self.consumer(
max_buffer_size = None,
partitions = [0],
)
# Seek to the last message
big_consumer.seek(-1, 2)
# Consume giant message successfully
message = big_consumer.get_message(block=False, timeout=10)
self.assertIsNotNone(message)
self.assertEquals(message.message.value, huge_message)
big_consumer.stop()
@kafka_versions("0.8.1", "0.8.1.1")
def test_offset_behavior__resuming_behavior(self):
msgs1 = self.send_messages(0, range(0, 100))
msgs2 = self.send_messages(1, range(100, 200))
# Start a consumer
consumer1 = self.consumer(
auto_commit_every_t = None,
auto_commit_every_n = 20,
)
# Grab the first 195 messages
output_msgs1 = [ consumer1.get_message().message.value for _ in xrange(195) ]
self.assert_message_count(output_msgs1, 195)
# The total offset across both partitions should be at 180
consumer2 = self.consumer(
auto_commit_every_t = None,
auto_commit_every_n = 20,
)
# 181-200
self.assert_message_count([ message for message in consumer2 ], 20)
consumer1.stop()
consumer2.stop()
def consumer(self, **kwargs):
if os.environ['KAFKA_VERSION'] == "0.8.0":
# Kafka 0.8.0 simply doesn't support offset requests, so hard code it being off
kwargs['auto_commit'] = False
else:
kwargs.setdefault('auto_commit', True)
consumer_class = kwargs.pop('consumer', SimpleConsumer)
group = kwargs.pop('group', self.id())
topic = kwargs.pop('topic', self.topic)
if consumer_class == SimpleConsumer:
kwargs.setdefault('iter_timeout', 0)
return consumer_class(self.client, group, topic, **kwargs)
|
