Abacn commented on code in PR #24633:
URL: https://github.com/apache/beam/pull/24633#discussion_r1054835731


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sdks/python/apache_beam/io/external/xlang_kafkaio_perf_test.py:
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@@ -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:
   Thanks for clarification. I see kafkaio.read.withmaxnumrecords returns a 
source of `BoundedReadFromUnboundedSource`. Could you please point the place to 
`SDF implementation` (like which ptransform configuration for kafkaio.read 
would use this implementation)



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