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import os
import time
import uuid
from six.moves import range
from kafka import (
SimpleProducer, KeyedProducer,
create_message, create_gzip_message, create_snappy_message,
RoundRobinPartitioner, HashedPartitioner
)
from kafka.codec import has_snappy
from kafka.common import (
FetchRequest, ProduceRequest,
UnknownTopicOrPartitionError, LeaderNotAvailableError
)
from kafka.producer.base import Producer
from test.fixtures import ZookeeperFixture, KafkaFixture
from test.testutil import KafkaIntegrationTestCase, kafka_versions
class TestKafkaProducerIntegration(KafkaIntegrationTestCase):
@classmethod
def setUpClass(cls): # noqa
if not os.environ.get('KAFKA_VERSION'):
return
cls.zk = ZookeeperFixture.instance()
cls.server = KafkaFixture.instance(0, cls.zk.host, cls.zk.port)
@classmethod
def tearDownClass(cls): # noqa
if not os.environ.get('KAFKA_VERSION'):
return
cls.server.close()
cls.zk.close()
@kafka_versions("all")
def test_produce_many_simple(self):
start_offset = self.current_offset(self.topic, 0)
self.assert_produce_request(
[create_message(("Test message %d" % i).encode('utf-8'))
for i in range(100)],
start_offset,
100,
)
self.assert_produce_request(
[create_message(("Test message %d" % i).encode('utf-8'))
for i in range(100)],
start_offset+100,
100,
)
@kafka_versions("all")
def test_produce_10k_simple(self):
start_offset = self.current_offset(self.topic, 0)
self.assert_produce_request(
[create_message(("Test message %d" % i).encode('utf-8'))
for i in range(10000)],
start_offset,
10000,
)
@kafka_versions("all")
def test_produce_many_gzip(self):
start_offset = self.current_offset(self.topic, 0)
message1 = create_gzip_message([
(("Gzipped 1 %d" % i).encode('utf-8'), None) for i in range(100)])
message2 = create_gzip_message([
(("Gzipped 2 %d" % i).encode('utf-8'), None) for i in range(100)])
self.assert_produce_request(
[ message1, message2 ],
start_offset,
200,
)
@kafka_versions("all")
def test_produce_many_snappy(self):
self.skipTest("All snappy integration tests fail with nosnappyjava")
start_offset = self.current_offset(self.topic, 0)
self.assert_produce_request([
create_snappy_message([("Snappy 1 %d" % i, None) for i in range(100)]),
create_snappy_message([("Snappy 2 %d" % i, None) for i in range(100)]),
],
start_offset,
200,
)
@kafka_versions("all")
def test_produce_mixed(self):
start_offset = self.current_offset(self.topic, 0)
msg_count = 1+100
messages = [
create_message(b"Just a plain message"),
create_gzip_message([
(("Gzipped %d" % i).encode('utf-8'), None) for i in range(100)]),
]
# All snappy integration tests fail with nosnappyjava
if False and has_snappy():
msg_count += 100
messages.append(create_snappy_message([("Snappy %d" % i, None) for i in range(100)]))
self.assert_produce_request(messages, start_offset, msg_count)
@kafka_versions("all")
def test_produce_100k_gzipped(self):
start_offset = self.current_offset(self.topic, 0)
self.assert_produce_request([
create_gzip_message([
(("Gzipped batch 1, message %d" % i).encode('utf-8'), None)
for i in range(50000)])
],
start_offset,
50000,
)
self.assert_produce_request([
create_gzip_message([
(("Gzipped batch 1, message %d" % i).encode('utf-8'), None)
for i in range(50000)])
],
start_offset+50000,
50000,
)
############################
# SimpleProducer Tests #
############################
@kafka_versions("all")
def test_simple_producer(self):
partitions = self.client.get_partition_ids_for_topic(self.topic)
start_offsets = [self.current_offset(self.topic, p) for p in partitions]
producer = SimpleProducer(self.client, random_start=False)
# Goes to first partition, randomly.
resp = producer.send_messages(self.topic, self.msg("one"), self.msg("two"))
self.assert_produce_response(resp, start_offsets[0])
# Goes to the next partition, randomly.
resp = producer.send_messages(self.topic, self.msg("three"))
self.assert_produce_response(resp, start_offsets[1])
self.assert_fetch_offset(partitions[0], start_offsets[0], [ self.msg("one"), self.msg("two") ])
self.assert_fetch_offset(partitions[1], start_offsets[1], [ self.msg("three") ])
# Goes back to the first partition because there's only two partitions
resp = producer.send_messages(self.topic, self.msg("four"), self.msg("five"))
self.assert_produce_response(resp, start_offsets[0]+2)
self.assert_fetch_offset(partitions[0], start_offsets[0], [ self.msg("one"), self.msg("two"), self.msg("four"), self.msg("five") ])
producer.stop()
@kafka_versions("all")
def test_produce__new_topic_fails_with_reasonable_error(self):
new_topic = 'new_topic_{guid}'.format(guid = str(uuid.uuid4())).encode('utf-8')
producer = SimpleProducer(self.client, random_start=False)
# At first it doesn't exist
with self.assertRaises((UnknownTopicOrPartitionError,
LeaderNotAvailableError)):
producer.send_messages(new_topic, self.msg("one"))
@kafka_versions("all")
def test_producer_random_order(self):
producer = SimpleProducer(self.client, random_start=True)
resp1 = producer.send_messages(self.topic, self.msg("one"), self.msg("two"))
resp2 = producer.send_messages(self.topic, self.msg("three"))
resp3 = producer.send_messages(self.topic, self.msg("four"), self.msg("five"))
self.assertEqual(resp1[0].partition, resp3[0].partition)
self.assertNotEqual(resp1[0].partition, resp2[0].partition)
@kafka_versions("all")
def test_producer_ordered_start(self):
producer = SimpleProducer(self.client, random_start=False)
resp1 = producer.send_messages(self.topic, self.msg("one"), self.msg("two"))
resp2 = producer.send_messages(self.topic, self.msg("three"))
resp3 = producer.send_messages(self.topic, self.msg("four"), self.msg("five"))
self.assertEqual(resp1[0].partition, 0)
self.assertEqual(resp2[0].partition, 1)
self.assertEqual(resp3[0].partition, 0)
@kafka_versions("all")
def test_async_simple_producer(self):
partition = self.client.get_partition_ids_for_topic(self.topic)[0]
start_offset = self.current_offset(self.topic, partition)
producer = SimpleProducer(self.client, async=True, random_start=False)
resp = producer.send_messages(self.topic, self.msg("one"))
self.assertEqual(len(resp), 0)
# flush messages
producer.stop()
self.assert_fetch_offset(partition, start_offset, [ self.msg("one") ])
@kafka_versions("all")
def test_batched_simple_producer__triggers_by_message(self):
partitions = self.client.get_partition_ids_for_topic(self.topic)
start_offsets = [self.current_offset(self.topic, p) for p in partitions]
# Configure batch producer
batch_messages = 5
batch_interval = 5
producer = SimpleProducer(
self.client,
async=True,
batch_send_every_n=batch_messages,
batch_send_every_t=batch_interval,
random_start=False)
# Send 4 messages -- should not trigger a batch
resp = producer.send_messages(
self.topic,
self.msg("one"),
self.msg("two"),
self.msg("three"),
self.msg("four"),
)
# Batch mode is async. No ack
self.assertEqual(len(resp), 0)
# It hasn't sent yet
self.assert_fetch_offset(partitions[0], start_offsets[0], [])
self.assert_fetch_offset(partitions[1], start_offsets[1], [])
# send 3 more messages -- should trigger batch on first 5
resp = producer.send_messages(
self.topic,
self.msg("five"),
self.msg("six"),
self.msg("seven"),
)
# Batch mode is async. No ack
self.assertEqual(len(resp), 0)
# Wait until producer has pulled all messages from internal queue
# this should signal that the first batch was sent, and the producer
# is now waiting for enough messages to batch again (or a timeout)
timeout = 5
start = time.time()
while not producer.queue.empty():
if time.time() - start > timeout:
self.fail('timeout waiting for producer queue to empty')
time.sleep(0.1)
# send messages groups all *msgs in a single call to the same partition
# so we should see all messages from the first call in one partition
self.assert_fetch_offset(partitions[0], start_offsets[0], [
self.msg("one"),
self.msg("two"),
self.msg("three"),
self.msg("four"),
])
# Because we are batching every 5 messages, we should only see one
self.assert_fetch_offset(partitions[1], start_offsets[1], [
self.msg("five"),
])
producer.stop()
@kafka_versions("all")
def test_batched_simple_producer__triggers_by_time(self):
partitions = self.client.get_partition_ids_for_topic(self.topic)
start_offsets = [self.current_offset(self.topic, p) for p in partitions]
batch_interval = 5
producer = SimpleProducer(
self.client,
async=True,
batch_send_every_n=100,
batch_send_every_t=batch_interval,
random_start=False)
# Send 5 messages and do a fetch
resp = producer.send_messages(
self.topic,
self.msg("one"),
self.msg("two"),
self.msg("three"),
self.msg("four"),
)
# Batch mode is async. No ack
self.assertEqual(len(resp), 0)
# It hasn't sent yet
self.assert_fetch_offset(partitions[0], start_offsets[0], [])
self.assert_fetch_offset(partitions[1], start_offsets[1], [])
resp = producer.send_messages(self.topic,
self.msg("five"),
self.msg("six"),
self.msg("seven"),
)
# Batch mode is async. No ack
self.assertEqual(len(resp), 0)
# Wait the timeout out
time.sleep(batch_interval)
self.assert_fetch_offset(partitions[0], start_offsets[0], [
self.msg("one"),
self.msg("two"),
self.msg("three"),
self.msg("four"),
])
self.assert_fetch_offset(partitions[1], start_offsets[1], [
self.msg("five"),
self.msg("six"),
self.msg("seven"),
])
producer.stop()
############################
# KeyedProducer Tests #
############################
@kafka_versions("0.8.1", "0.8.1.1", "0.8.2.0")
def test_keyedproducer_null_payload(self):
partitions = self.client.get_partition_ids_for_topic(self.topic)
start_offsets = [self.current_offset(self.topic, p) for p in partitions]
producer = KeyedProducer(self.client, partitioner=RoundRobinPartitioner)
key = "test"
resp = producer.send_messages(self.topic, self.key("key1"), self.msg("one"))
self.assert_produce_response(resp, start_offsets[0])
resp = producer.send_messages(self.topic, self.key("key2"), None)
self.assert_produce_response(resp, start_offsets[1])
resp = producer.send_messages(self.topic, self.key("key3"), None)
self.assert_produce_response(resp, start_offsets[0]+1)
resp = producer.send_messages(self.topic, self.key("key4"), self.msg("four"))
self.assert_produce_response(resp, start_offsets[1]+1)
self.assert_fetch_offset(partitions[0], start_offsets[0], [ self.msg("one"), None ])
self.assert_fetch_offset(partitions[1], start_offsets[1], [ None, self.msg("four") ])
producer.stop()
@kafka_versions("all")
def test_round_robin_partitioner(self):
partitions = self.client.get_partition_ids_for_topic(self.topic)
start_offsets = [self.current_offset(self.topic, p) for p in partitions]
producer = KeyedProducer(self.client, partitioner=RoundRobinPartitioner)
resp1 = producer.send_messages(self.topic, self.key("key1"), self.msg("one"))
resp2 = producer.send_messages(self.topic, self.key("key2"), self.msg("two"))
resp3 = producer.send_messages(self.topic, self.key("key3"), self.msg("three"))
resp4 = producer.send_messages(self.topic, self.key("key4"), self.msg("four"))
self.assert_produce_response(resp1, start_offsets[0]+0)
self.assert_produce_response(resp2, start_offsets[1]+0)
self.assert_produce_response(resp3, start_offsets[0]+1)
self.assert_produce_response(resp4, start_offsets[1]+1)
self.assert_fetch_offset(partitions[0], start_offsets[0], [ self.msg("one"), self.msg("three") ])
self.assert_fetch_offset(partitions[1], start_offsets[1], [ self.msg("two"), self.msg("four") ])
producer.stop()
@kafka_versions("all")
def test_hashed_partitioner(self):
partitions = self.client.get_partition_ids_for_topic(self.topic)
start_offsets = [self.current_offset(self.topic, p) for p in partitions]
producer = KeyedProducer(self.client, partitioner=HashedPartitioner)
resp1 = producer.send_messages(self.topic, self.key("1"), self.msg("one"))
resp2 = producer.send_messages(self.topic, self.key("2"), self.msg("two"))
resp3 = producer.send_messages(self.topic, self.key("3"), self.msg("three"))
resp4 = producer.send_messages(self.topic, self.key("3"), self.msg("four"))
resp5 = producer.send_messages(self.topic, self.key("4"), self.msg("five"))
offsets = {partitions[0]: start_offsets[0], partitions[1]: start_offsets[1]}
messages = {partitions[0]: [], partitions[1]: []}
keys = [self.key(k) for k in ["1", "2", "3", "3", "4"]]
resps = [resp1, resp2, resp3, resp4, resp5]
msgs = [self.msg(m) for m in ["one", "two", "three", "four", "five"]]
for key, resp, msg in zip(keys, resps, msgs):
k = hash(key) % 2
partition = partitions[k]
offset = offsets[partition]
self.assert_produce_response(resp, offset)
offsets[partition] += 1
messages[partition].append(msg)
self.assert_fetch_offset(partitions[0], start_offsets[0], messages[partitions[0]])
self.assert_fetch_offset(partitions[1], start_offsets[1], messages[partitions[1]])
producer.stop()
@kafka_versions("all")
def test_async_keyed_producer(self):
partition = self.client.get_partition_ids_for_topic(self.topic)[0]
start_offset = self.current_offset(self.topic, partition)
producer = KeyedProducer(self.client, partitioner = RoundRobinPartitioner, async=True)
resp = producer.send_messages(self.topic, self.key("key1"), self.msg("one"))
self.assertEqual(len(resp), 0)
# wait for the server to report a new highwatermark
while self.current_offset(self.topic, partition) == start_offset:
time.sleep(0.1)
self.assert_fetch_offset(partition, start_offset, [ self.msg("one") ])
producer.stop()
############################
# Producer ACK Tests #
############################
@kafka_versions("all")
def test_acks_none(self):
partition = self.client.get_partition_ids_for_topic(self.topic)[0]
start_offset = self.current_offset(self.topic, partition)
producer = Producer(
self.client,
req_acks=Producer.ACK_NOT_REQUIRED,
)
resp = producer.send_messages(self.topic, partition, self.msg("one"))
# No response from produce request with no acks required
self.assertEqual(len(resp), 0)
# But the message should still have been delivered
self.assert_fetch_offset(partition, start_offset, [ self.msg("one") ])
producer.stop()
@kafka_versions("all")
def test_acks_local_write(self):
partition = self.client.get_partition_ids_for_topic(self.topic)[0]
start_offset = self.current_offset(self.topic, partition)
producer = Producer(
self.client,
req_acks=Producer.ACK_AFTER_LOCAL_WRITE,
)
resp = producer.send_messages(self.topic, partition, self.msg("one"))
self.assert_produce_response(resp, start_offset)
self.assert_fetch_offset(partition, start_offset, [ self.msg("one") ])
producer.stop()
@kafka_versions("all")
def test_acks_cluster_commit(self):
partition = self.client.get_partition_ids_for_topic(self.topic)[0]
start_offset = self.current_offset(self.topic, partition)
producer = Producer(
self.client,
req_acks=Producer.ACK_AFTER_CLUSTER_COMMIT,
)
resp = producer.send_messages(self.topic, partition, self.msg("one"))
self.assert_produce_response(resp, start_offset)
self.assert_fetch_offset(partition, start_offset, [ self.msg("one") ])
producer.stop()
def assert_produce_request(self, messages, initial_offset, message_ct,
partition=0):
produce = ProduceRequest(self.bytes_topic, partition, messages=messages)
# There should only be one response message from the server.
# This will throw an exception if there's more than one.
resp = self.client.send_produce_request([ produce ])
self.assert_produce_response(resp, initial_offset)
self.assertEqual(self.current_offset(self.topic, partition), initial_offset + message_ct)
def assert_produce_response(self, resp, initial_offset):
self.assertEqual(len(resp), 1)
self.assertEqual(resp[0].error, 0)
self.assertEqual(resp[0].offset, initial_offset)
def assert_fetch_offset(self, partition, start_offset, expected_messages):
# There should only be one response message from the server.
# This will throw an exception if there's more than one.
resp, = self.client.send_fetch_request([ FetchRequest(self.bytes_topic, partition, start_offset, 1024) ])
self.assertEqual(resp.error, 0)
self.assertEqual(resp.partition, partition)
messages = [ x.message.value for x in resp.messages ]
self.assertEqual(messages, expected_messages)
self.assertEqual(resp.highwaterMark, start_offset+len(expected_messages))
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