import logging import os from six.moves import xrange import six from . import unittest from kafka import ( KafkaConsumer, MultiProcessConsumer, SimpleConsumer, create_message, create_gzip_message ) from kafka.consumer.base import MAX_FETCH_BUFFER_SIZE_BYTES from kafka.errors import ConsumerFetchSizeTooSmall, OffsetOutOfRangeError from kafka.structs import ProduceRequestPayload, TopicPartition from test.fixtures import ZookeeperFixture, KafkaFixture from test.testutil import ( KafkaIntegrationTestCase, kafka_versions, random_string, Timer ) class TestConsumerIntegration(KafkaIntegrationTestCase): @classmethod def setUpClass(cls): if not os.environ.get('KAFKA_VERSION'): return cls.zk = ZookeeperFixture.instance() chroot = random_string(10) cls.server1 = KafkaFixture.instance(0, cls.zk.host, cls.zk.port, zk_chroot=chroot) cls.server2 = KafkaFixture.instance(1, cls.zk.host, cls.zk.port, zk_chroot=chroot) 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 = ProduceRequestPayload(self.topic, partition, messages = messages) resp, = self.client.send_produce_request([produce]) self.assertEqual(resp.error, 0) return [ x.value for x in messages ] def send_gzip_message(self, partition, messages): message = create_gzip_message([(self.msg(str(msg)), None) for msg in messages]) produce = ProduceRequestPayload(self.topic, partition, messages = [message]) resp, = self.client.send_produce_request([produce]) self.assertEqual(resp.error, 0) def assert_message_count(self, messages, num_messages): # Make sure we got them all self.assertEqual(len(messages), num_messages) # Make sure there are no duplicates self.assertEqual(len(set(messages)), num_messages) 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['group'] = None kwargs['auto_commit'] = False else: kwargs.setdefault('group', None) kwargs.setdefault('auto_commit', False) consumer_class = kwargs.pop('consumer', SimpleConsumer) group = kwargs.pop('group', None) topic = kwargs.pop('topic', self.topic) if consumer_class in [SimpleConsumer, MultiProcessConsumer]: kwargs.setdefault('iter_timeout', 0) return consumer_class(self.client, group, topic, **kwargs) def kafka_consumer(self, **configs): brokers = '%s:%d' % (self.server.host, self.server.port) consumer = KafkaConsumer(self.topic, bootstrap_servers=brokers, **configs) return consumer 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() def test_simple_consumer_gzip(self): self.send_gzip_message(0, range(0, 100)) self.send_gzip_message(1, range(100, 200)) # Start a consumer consumer = self.consumer() self.assert_message_count([ message for message in consumer ], 200) consumer.stop() def test_simple_consumer_smallest_offset_reset(self): self.send_messages(0, range(0, 100)) self.send_messages(1, range(100, 200)) consumer = self.consumer(auto_offset_reset='smallest') # Move fetch offset ahead of 300 message (out of range) consumer.seek(300, 2) # Since auto_offset_reset is set to smallest we should read all 200 # messages from beginning. self.assert_message_count([message for message in consumer], 200) def test_simple_consumer_largest_offset_reset(self): self.send_messages(0, range(0, 100)) self.send_messages(1, range(100, 200)) # Default largest consumer = self.consumer() # Move fetch offset ahead of 300 message (out of range) consumer.seek(300, 2) # Since auto_offset_reset is set to largest we should not read any # messages. self.assert_message_count([message for message in consumer], 0) # Send 200 new messages to the queue self.send_messages(0, range(200, 300)) self.send_messages(1, range(300, 400)) # Since the offset is set to largest we should read all the new messages. self.assert_message_count([message for message in consumer], 200) def test_simple_consumer_no_reset(self): self.send_messages(0, range(0, 100)) self.send_messages(1, range(100, 200)) # Default largest consumer = self.consumer(auto_offset_reset=None) # Move fetch offset ahead of 300 message (out of range) consumer.seek(300, 2) with self.assertRaises(OffsetOutOfRangeError): consumer.get_message() @kafka_versions('>=0.8.1') def test_simple_consumer_load_initial_offsets(self): self.send_messages(0, range(0, 100)) self.send_messages(1, range(100, 200)) # Create 1st consumer and change offsets consumer = self.consumer(group='test_simple_consumer_load_initial_offsets') self.assertEqual(consumer.offsets, {0: 0, 1: 0}) consumer.offsets.update({0:51, 1:101}) # Update counter after manual offsets update consumer.count_since_commit += 1 consumer.commit() # Create 2nd consumer and check initial offsets consumer = self.consumer(group='test_simple_consumer_load_initial_offsets', auto_commit=False) self.assertEqual(consumer.offsets, {0: 51, 1: 101}) 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) # Set absolute offset consumer.seek(100) self.assert_message_count([ message for message in consumer ], 0) consumer.seek(100, partition=0) self.assert_message_count([ message for message in consumer ], 0) consumer.seek(101, partition=1) self.assert_message_count([ message for message in consumer ], 0) consumer.seek(90, partition=0) self.assert_message_count([ message for message in consumer ], 10) consumer.seek(20, partition=1) self.assert_message_count([ message for message in consumer ], 80) consumer.seek(0, partition=1) self.assert_message_count([ message for message in consumer ], 100) consumer.stop() def test_simple_consumer_blocking(self): consumer = self.consumer() # Ask for 5 messages, nothing in queue, block 1 second with Timer() as t: messages = consumer.get_messages(block=True, timeout=1) self.assert_message_count(messages, 0) self.assertGreaterEqual(t.interval, 1) self.send_messages(0, range(0, 5)) self.send_messages(1, range(5, 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=3) self.assert_message_count(messages, 5) self.assertLess(t.interval, 3) # Ask for 10 messages, get 5 back, block 1 second with Timer() as t: messages = consumer.get_messages(count=10, block=True, timeout=1) self.assert_message_count(messages, 5) self.assertGreaterEqual(t.interval, 1) # Ask for 10 messages, 5 in queue, ask to block for 1 message or 1 # second, get 5 back, no blocking self.send_messages(0, range(0, 3)) self.send_messages(1, range(3, 5)) with Timer() as t: messages = consumer.get_messages(count=10, block=1, timeout=1) self.assert_message_count(messages, 5) self.assertLessEqual(t.interval, 1) consumer.stop() def test_simple_consumer_pending(self): # make sure that we start with no pending messages consumer = self.consumer() self.assertEquals(consumer.pending(), 0) self.assertEquals(consumer.pending(partitions=[0]), 0) self.assertEquals(consumer.pending(partitions=[1]), 0) # 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.assertEqual(consumer.pending(), 20) self.assertEqual(consumer.pending(partitions=[0]), 10) self.assertEqual(consumer.pending(partitions=[1]), 10) # move to last message, so one partition should have 1 pending # message and other 0 consumer.seek(-1, 2) self.assertEqual(consumer.pending(), 1) pending_part1 = consumer.pending(partitions=[0]) pending_part2 = consumer.pending(partitions=[1]) self.assertEquals(set([0, 1]), set([pending_part1, pending_part2])) consumer.stop() @unittest.skip('MultiProcessConsumer deprecated and these tests are flaky') 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() @unittest.skip('MultiProcessConsumer deprecated and these tests are flaky') def test_multi_process_consumer_blocking(self): consumer = self.consumer(consumer = MultiProcessConsumer) # Ask for 5 messages, No messages in queue, block 1 second with Timer() as t: messages = consumer.get_messages(block=True, timeout=1) self.assert_message_count(messages, 0) self.assertGreaterEqual(t.interval, 1) # 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 1 second with Timer() as t: messages = consumer.get_messages(count=10, block=True, timeout=1) self.assert_message_count(messages, 5) self.assertGreaterEqual(t.interval, 1) # Ask for 10 messages, 5 in queue, ask to block for 1 message or 1 # second, get at least one back, no blocking self.send_messages(0, range(0, 5)) with Timer() as t: messages = consumer.get_messages(count=10, block=1, timeout=1) received_message_count = len(messages) self.assertGreaterEqual(received_message_count, 1) self.assert_message_count(messages, received_message_count) self.assertLessEqual(t.interval, 1) consumer.stop() @unittest.skip('MultiProcessConsumer deprecated and these tests are flaky') def test_multi_proc_pending(self): self.send_messages(0, range(0, 10)) self.send_messages(1, range(10, 20)) # set group to None and auto_commit to False to avoid interactions w/ # offset commit/fetch apis consumer = MultiProcessConsumer(self.client, None, self.topic, auto_commit=False, iter_timeout=0) self.assertEqual(consumer.pending(), 20) self.assertEqual(consumer.pending(partitions=[0]), 10) self.assertEqual(consumer.pending(partitions=[1]), 10) consumer.stop() @unittest.skip('MultiProcessConsumer deprecated and these tests are flaky') @kafka_versions('>=0.8.1') def test_multi_process_consumer_load_initial_offsets(self): self.send_messages(0, range(0, 10)) self.send_messages(1, range(10, 20)) # Create 1st consumer and change offsets consumer = self.consumer(group='test_multi_process_consumer_load_initial_offsets') self.assertEqual(consumer.offsets, {0: 0, 1: 0}) consumer.offsets.update({0:5, 1:15}) # Update counter after manual offsets update consumer.count_since_commit += 1 consumer.commit() # Create 2nd consumer and check initial offsets consumer = self.consumer(consumer = MultiProcessConsumer, group='test_multi_process_consumer_load_initial_offsets', auto_commit=False) self.assertEqual(consumer.offsets, {0: 5, 1: 15}) 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() 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.assertEqual(message.message.value, huge_message) big_consumer.stop() @kafka_versions('>=0.8.1') def test_offset_behavior__resuming_behavior(self): self.send_messages(0, range(0, 100)) self.send_messages(1, range(100, 200)) # Start a consumer consumer1 = self.consumer( group='test_offset_behavior__resuming_behavior', auto_commit=True, 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( group='test_offset_behavior__resuming_behavior', auto_commit=True, 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() @unittest.skip('MultiProcessConsumer deprecated and these tests are flaky') @kafka_versions('>=0.8.1') def test_multi_process_offset_behavior__resuming_behavior(self): self.send_messages(0, range(0, 100)) self.send_messages(1, range(100, 200)) # Start a consumer consumer1 = self.consumer( consumer=MultiProcessConsumer, group='test_multi_process_offset_behavior__resuming_behavior', auto_commit=True, auto_commit_every_t = None, auto_commit_every_n = 20, ) # Grab the first 195 messages output_msgs1 = [] idx = 0 for message in consumer1: output_msgs1.append(message.message.value) idx += 1 if idx >= 195: break self.assert_message_count(output_msgs1, 195) # The total offset across both partitions should be at 180 consumer2 = self.consumer( consumer=MultiProcessConsumer, group='test_multi_process_offset_behavior__resuming_behavior', auto_commit=True, 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() # TODO: Make this a unit test -- should not require integration def test_fetch_buffer_size(self): # Test parameters (see issue 135 / PR 136) TEST_MESSAGE_SIZE=1048 INIT_BUFFER_SIZE=1024 MAX_BUFFER_SIZE=2048 assert TEST_MESSAGE_SIZE > INIT_BUFFER_SIZE assert TEST_MESSAGE_SIZE < MAX_BUFFER_SIZE assert MAX_BUFFER_SIZE == 2 * INIT_BUFFER_SIZE self.send_messages(0, [ "x" * 1048 ]) self.send_messages(1, [ "x" * 1048 ]) consumer = self.consumer(buffer_size=1024, max_buffer_size=2048) messages = [ message for message in consumer ] self.assertEqual(len(messages), 2) def test_kafka_consumer(self): self.send_messages(0, range(0, 100)) self.send_messages(1, range(100, 200)) # Start a consumer consumer = self.kafka_consumer(auto_offset_reset='earliest') n = 0 messages = {0: set(), 1: set()} for m in consumer: logging.debug("Consumed message %s" % repr(m)) n += 1 messages[m.partition].add(m.offset) if n >= 200: break self.assertEqual(len(messages[0]), 100) self.assertEqual(len(messages[1]), 100) def test_kafka_consumer__blocking(self): TIMEOUT_MS = 500 consumer = self.kafka_consumer(auto_offset_reset='earliest', enable_auto_commit=False, consumer_timeout_ms=TIMEOUT_MS) # Manual assignment avoids overhead of consumer group mgmt consumer.unsubscribe() consumer.assign([TopicPartition(self.topic, 0)]) # Ask for 5 messages, nothing in queue, block 500ms with Timer() as t: with self.assertRaises(StopIteration): msg = next(consumer) self.assertGreaterEqual(t.interval, TIMEOUT_MS / 1000.0 ) self.send_messages(0, range(0, 10)) # Ask for 5 messages, 10 in queue. Get 5 back, no blocking messages = set() with Timer() as t: for i in range(5): msg = next(consumer) messages.add((msg.partition, msg.offset)) self.assertEqual(len(messages), 5) self.assertLess(t.interval, TIMEOUT_MS / 1000.0 ) # Ask for 10 messages, get 5 back, block 500ms messages = set() with Timer() as t: with self.assertRaises(StopIteration): for i in range(10): msg = next(consumer) messages.add((msg.partition, msg.offset)) self.assertEqual(len(messages), 5) self.assertGreaterEqual(t.interval, TIMEOUT_MS / 1000.0 ) @kafka_versions('>=0.8.1') def test_kafka_consumer__offset_commit_resume(self): GROUP_ID = random_string(10) self.send_messages(0, range(0, 100)) self.send_messages(1, range(100, 200)) # Start a consumer consumer1 = self.kafka_consumer( group_id=GROUP_ID, enable_auto_commit=True, auto_commit_interval_ms=100, auto_offset_reset='earliest', ) # Grab the first 180 messages output_msgs1 = [] for _ in xrange(180): m = next(consumer1) output_msgs1.append(m) self.assert_message_count(output_msgs1, 180) consumer1.close() # The total offset across both partitions should be at 180 consumer2 = self.kafka_consumer( group_id=GROUP_ID, enable_auto_commit=True, auto_commit_interval_ms=100, auto_offset_reset='earliest', ) # 181-200 output_msgs2 = [] for _ in xrange(20): m = next(consumer2) output_msgs2.append(m) self.assert_message_count(output_msgs2, 20) self.assertEqual(len(set(output_msgs1) | set(output_msgs2)), 200) @kafka_versions('>=0.10.1') def test_kafka_consumer_max_bytes_simple(self): self.send_messages(0, range(100, 200)) self.send_messages(1, range(200, 300)) # Start a consumer consumer = self.kafka_consumer( auto_offset_reset='earliest', fetch_max_bytes=300) fetched_size = 0 seen_partitions = set([]) for i in range(10): poll_res = consumer.poll(timeout_ms=100) for partition, msgs in six.iteritems(poll_res): for msg in msgs: fetched_size += len(msg.value) seen_partitions.add(partition) # Check that we fetched at least 1 message from both partitions self.assertEqual( seen_partitions, set([ TopicPartition(self.topic, 0), TopicPartition(self.topic, 1)])) self.assertLess(fetched_size, 3000) @kafka_versions('>=0.10.1') def test_kafka_consumer_max_bytes_one_msg(self): # We send to only 1 partition so we don't have parallel requests to 2 # nodes for data. self.send_messages(0, range(100, 200)) # Start a consumer. FetchResponse_v3 should always include at least 1 # full msg, so by setting fetch_max_bytes=1 we must get 1 msg at a time group = 'test-kafka-consumer-max-bytes-one-msg-' + random_string(5) consumer = self.kafka_consumer( group_id=group, auto_offset_reset='earliest', fetch_max_bytes=1) fetched_msgs = [] # A bit hacky, but we need this in order for message count to be exact consumer._coordinator.ensure_active_group() for i in range(10): poll_res = consumer.poll(timeout_ms=2000) print(poll_res) for partition, msgs in six.iteritems(poll_res): for msg in msgs: fetched_msgs.append(msg) self.assertEqual(len(fetched_msgs), 10)