-
Notifications
You must be signed in to change notification settings - Fork 951
Expand file tree
/
Copy pathtest_incremental_assign.py
More file actions
93 lines (75 loc) · 3.22 KB
/
test_incremental_assign.py
File metadata and controls
93 lines (75 loc) · 3.22 KB
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
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2020 Confluent Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import pytest
from uuid import uuid1
from confluent_kafka import TopicPartition, OFFSET_BEGINNING, KafkaException, KafkaError
def test_incremental_assign(kafka_cluster):
"""
Test incremental_assign and incremental_unassign
"""
consumer_conf = {'group.id': str(uuid1()),
'enable.auto.commit': 'false',
'auto.offset.reset': 'error'}
topic1 = kafka_cluster.create_topic_and_wait_propagation("topic1")
topic2 = kafka_cluster.create_topic_and_wait_propagation("topic2")
kafka_cluster.seed_topic(topic1, value_source=[b'a'])
kafka_cluster.seed_topic(topic2, value_source=[b'b'])
consumer = kafka_cluster.consumer(consumer_conf)
consumer.incremental_assign([TopicPartition(topic1, 0, OFFSET_BEGINNING)])
msg1 = consumer.poll(10)
assert msg1 is not None
assert 0 == msg1.offset()
assert topic1 == msg1.topic()
assert 0 == msg1.partition()
consumer.commit(msg1)
# should not be possible to incrementally assign to the same partition twice.
with pytest.raises(KafkaException) as exc_info:
consumer.incremental_assign([TopicPartition(topic1, 0, OFFSET_BEGINNING)])
assert exc_info.value.args[0].code() == KafkaError._CONFLICT, \
"Expected _CONFLICT, not {}".format(exc_info)
consumer.incremental_assign([TopicPartition(topic2, 0, OFFSET_BEGINNING)])
msg2 = consumer.poll(10)
assert msg2 is not None
assert 0 == msg2.offset()
assert topic2 == msg2.topic()
assert 0 == msg2.partition()
consumer.incremental_unassign([TopicPartition(topic1, 0)])
kafka_cluster.seed_topic(topic1, value_source=[b'aa'])
msg3 = consumer.poll(2)
assert msg3 is None
kafka_cluster.seed_topic(topic2, value_source=[b'aaa'])
msg4 = consumer.poll(10)
assert msg4 is not None
assert 1 == msg4.offset()
assert topic2 == msg4.topic()
assert 0 == msg4.partition()
assert msg4.value() == b'aaa'
consumer.incremental_assign([TopicPartition(topic1, 0)])
msg5 = consumer.poll(10)
assert msg5 is not None
assert 1 == msg5.offset()
assert topic1 == msg5.topic()
assert 0 == msg5.partition()
msg6 = consumer.poll(1)
assert msg6 is None
consumer.incremental_unassign([TopicPartition(topic1, 0)])
# should not be possible to incrementally unassign from a partition not in the current assignment
with pytest.raises(KafkaException) as exc_info:
consumer.incremental_unassign([TopicPartition(topic1, 0)])
assert exc_info.value.args[0].code() == KafkaError._INVALID_ARG, \
"Expected _INVALID_ARG, not {}".format(exc_info)
consumer.unassign()