johnjcasey commented on code in PR #24633: URL: https://github.com/apache/beam/pull/24633#discussion_r1054810218
########## sdks/python/apache_beam/io/external/xlang_kafkaio_perf_test.py: ########## @@ -0,0 +1,133 @@ +# +# Licensed to the Apache Software Foundation (ASF) under one or more +# contributor license agreements. See the NOTICE file distributed with +# this work for additional information regarding copyright ownership. +# The ASF licenses this file to You 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 logging +import sys +import typing + +import apache_beam as beam +from apache_beam.io import iobase +from apache_beam.io import kafka +from apache_beam.testing.load_tests.load_test import LoadTest +from apache_beam.testing.load_tests.load_test import LoadTestOptions +from apache_beam.testing.load_tests.load_test_metrics_utils import CountMessages +from apache_beam.testing.load_tests.load_test_metrics_utils import MeasureTime +from apache_beam.testing.synthetic_pipeline import SyntheticSource +from apache_beam.testing.test_pipeline import TestPipeline +from apache_beam.testing.util import assert_that +from apache_beam.testing.util import equal_to +from apache_beam.transforms.util import Reshuffle + +WRITE_NAMESPACE = 'write' +READ_NAMESPACE = 'read' + +_LOGGER = logging.getLogger(__name__) + + +class KafkaIOTestOptions(LoadTestOptions): + @classmethod + def _add_argparse_args(cls, parser): + parser.add_argument( + '--test_class', required=True, help='Test class to run.') + + parser.add_argument('--kafka_topic', required=True, help='Kafka topic.') + + parser.add_argument( + '--bootstrap_servers', help='URL TO Kafka Bootstrap service.') + + +class KafkaIOBatchPerfTest: + """Performance test for cross-language Kafka IO batch pipeline.""" + def run(self): + write_test = _KafkaIOBatchWritePerfTest() + read_test = _KafkaIOBatchReadPerfTest() + write_test.run() + read_test.run() + + +class _KafkaIOBatchWritePerfTest(LoadTest): + def __init__(self): + super().__init__(WRITE_NAMESPACE) + self.test_options = self.pipeline.get_pipeline_options().view_as( + KafkaIOTestOptions) + self.kafka_topic = self.test_options.kafka_topic + # otherwise see 'ValueError: Unexpected DoFn type: beam:dofn:javasdk:0.1' + self.pipeline.not_use_test_runner_api = True + + def test(self): + _ = ( + self.pipeline + | 'Generate records' >> iobase.Read( + SyntheticSource(self.parse_synthetic_source_options())) \ + .with_output_types(typing.Tuple[bytes, bytes]) + | 'Count records' >> beam.ParDo(CountMessages(self.metrics_namespace)) + | 'Avoid Fusion' >> Reshuffle() + | 'Measure time' >> beam.ParDo(MeasureTime(self.metrics_namespace)) + | 'WriteToKafka' >> kafka.WriteToKafka( + producer_config={ + 'bootstrap.servers': self.test_options.bootstrap_servers + }, + topic=self.kafka_topic)) + + def cleanup(self): + pass + + +class _KafkaIOBatchReadPerfTest(LoadTest): + def __init__(self): + super().__init__(READ_NAMESPACE) + self.test_options = self.pipeline.get_pipeline_options().view_as( + KafkaIOTestOptions) + self.kafka_topic = self.test_options.kafka_topic + # otherwise see 'ValueError: Unexpected DoFn type: beam:dofn:javasdk:0.1' + self.pipeline.not_use_test_runner_api = True + + def test(self): + output = ( + self.pipeline + | 'ReadFromKafka' >> kafka.ReadFromKafka( + consumer_config={ + 'bootstrap.servers': self.test_options.bootstrap_servers, + 'auto.offset.reset': 'earliest' + }, + topics=[self.kafka_topic], + max_num_records=self.input_options['num_records']) Review Comment: Sorry, to clarify, this would result in using UnboundedSource as opposed to the SDF implementation, and we don't really care about legacy performance. We need a way to cancel the pipeline while using the SDF implementation -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: github-unsubscr...@beam.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
