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88 lines
4.2 KiB
Python
88 lines
4.2 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from ducktape.mark import parametrize
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from ducktape.utils.util import wait_until
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from ducktape.mark.resource import cluster
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from kafkatest.services.zookeeper import ZookeeperService
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from kafkatest.services.kafka import KafkaService
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from kafkatest.services.verifiable_producer import VerifiableProducer
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from kafkatest.services.console_consumer import ConsoleConsumer
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from kafkatest.tests.produce_consume_validate import ProduceConsumeValidateTest
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from kafkatest.utils import is_int_with_prefix
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class CompressionTest(ProduceConsumeValidateTest):
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"""
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These tests validate produce / consume for compressed topics.
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"""
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COMPRESSION_TYPES = ["snappy", "gzip", "lz4", "zstd", "none"]
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def __init__(self, test_context):
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""":type test_context: ducktape.tests.test.TestContext"""
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super(CompressionTest, self).__init__(test_context=test_context)
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self.topic = "test_topic"
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self.zk = ZookeeperService(test_context, num_nodes=1)
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self.kafka = KafkaService(test_context, num_nodes=1, zk=self.zk, topics={self.topic: {
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"partitions": 10,
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"replication-factor": 1}})
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self.num_partitions = 10
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self.timeout_sec = 60
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self.producer_throughput = 1000
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self.num_producers = len(self.COMPRESSION_TYPES)
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self.messages_per_producer = 1000
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self.num_consumers = 1
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def setUp(self):
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self.zk.start()
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def min_cluster_size(self):
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# Override this since we're adding services outside of the constructor
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return super(CompressionTest, self).min_cluster_size() + self.num_producers + self.num_consumers
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@cluster(num_nodes=8)
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@parametrize(compression_types=COMPRESSION_TYPES)
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def test_compressed_topic(self, compression_types):
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"""Test produce => consume => validate for compressed topics
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Setup: 1 zk, 1 kafka node, 1 topic with partitions=10, replication-factor=1
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compression_types parameter gives a list of compression types (or no compression if
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"none"). Each producer in a VerifiableProducer group (num_producers = number of compression
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types) will use a compression type from the list based on producer's index in the group.
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- Produce messages in the background
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- Consume messages in the background
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- Stop producing, and finish consuming
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- Validate that every acked message was consumed
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"""
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self.kafka.security_protocol = "PLAINTEXT"
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self.kafka.interbroker_security_protocol = self.kafka.security_protocol
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self.producer = VerifiableProducer(self.test_context, self.num_producers, self.kafka,
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self.topic, throughput=self.producer_throughput,
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message_validator=is_int_with_prefix,
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compression_types=compression_types)
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self.consumer = ConsoleConsumer(self.test_context, self.num_consumers, self.kafka, self.topic,
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consumer_timeout_ms=60000, message_validator=is_int_with_prefix)
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self.kafka.start()
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self.run_produce_consume_validate(lambda: wait_until(
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lambda: self.producer.each_produced_at_least(self.messages_per_producer) == True,
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timeout_sec=120, backoff_sec=1,
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err_msg="Producer did not produce all messages in reasonable amount of time"))
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