| # |
| # 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. |
| # |
| |
| # pytype: skip-file |
| |
| import threading |
| import unittest |
| |
| from apache_beam.internal.metrics.cells import HistogramCell |
| from apache_beam.internal.metrics.cells import HistogramCellFactory |
| from apache_beam.internal.metrics.cells import HistogramData |
| from apache_beam.utils.histogram import Histogram |
| from apache_beam.utils.histogram import LinearBucket |
| |
| |
| class TestHistogramCell(unittest.TestCase): |
| @classmethod |
| def _modify_histogram(cls, d): |
| for i in range(cls.NUM_ITERATIONS): |
| d.update(i) |
| |
| NUM_THREADS = 5 |
| NUM_ITERATIONS = 100 |
| |
| def test_parallel_access(self): |
| # We create NUM_THREADS threads that concurrently modify the distribution. |
| threads = [] |
| bucket_type = LinearBucket(0, 1, 100) |
| d = HistogramCell(bucket_type) |
| for _ in range(TestHistogramCell.NUM_THREADS): |
| t = threading.Thread( |
| target=TestHistogramCell._modify_histogram, args=(d, )) |
| threads.append(t) |
| t.start() |
| |
| for t in threads: |
| t.join() |
| |
| histogram = Histogram(bucket_type) |
| for _ in range(self.NUM_THREADS): |
| for i in range(self.NUM_ITERATIONS): |
| histogram.record(i) |
| |
| self.assertEqual(d.get_cumulative(), HistogramData(histogram)) |
| |
| def test_basic_operations(self): |
| d = HistogramCellFactory(LinearBucket(0, 1, 10))() |
| d.update(10) |
| self.assertEqual( |
| str(d.get_cumulative()), |
| 'HistogramData(Total count: 1, P99: >=10, P90: >=10, P50: >=10)') |
| d.update(0) |
| self.assertEqual( |
| str(d.get_cumulative()), |
| 'HistogramData(Total count: 2, P99: >=10, P90: >=10, P50: 1)') |
| d.update(5) |
| self.assertEqual( |
| str(d.get_cumulative()), |
| 'HistogramData(Total count: 3, P99: >=10, P90: >=10, P50: 6)') |
| |
| |
| if __name__ == '__main__': |
| unittest.main() |