runners/google-cloud-dataflow-java/worker/src/test/java/org/apache/beam/runners/dataflow/worker/counters/CounterUpdateAggregatorsTest.java

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 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
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 *
 *     http://www.apache.org/licenses/LICENSE-2.0
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package org.apache.beam.runners.dataflow.worker.counters;

import static org.apache.beam.runners.dataflow.worker.counters.DataflowCounterUpdateExtractor.longToSplitInt;
import static org.apache.beam.runners.dataflow.worker.counters.DataflowCounterUpdateExtractor.splitIntToLong;
import static org.junit.Assert.assertEquals;

import com.google.api.services.dataflow.model.CounterMetadata;
import com.google.api.services.dataflow.model.CounterStructuredNameAndMetadata;
import com.google.api.services.dataflow.model.CounterUpdate;
import com.google.api.services.dataflow.model.DistributionUpdate;
import com.google.api.services.dataflow.model.IntegerMean;
import java.util.ArrayList;
import java.util.List;
import org.apache.beam.runners.dataflow.worker.MetricsToCounterUpdateConverter.Kind;
import org.junit.Test;

public class CounterUpdateAggregatorsTest {

  @Test
  public void testAggregateSum() {
    List<CounterUpdate> sumUpdates = new ArrayList<>();
    for (int i = 0; i < 10; i++) {
      sumUpdates.add(
          new CounterUpdate()
              .setStructuredNameAndMetadata(
                  new CounterStructuredNameAndMetadata()
                      .setMetadata(new CounterMetadata().setKind(Kind.SUM.toString())))
              .setInteger(longToSplitInt((long) i)));
    }
    List<CounterUpdate> aggregated = CounterUpdateAggregators.aggregate(sumUpdates);
    assertEquals(1, aggregated.size());
    CounterUpdate combined = aggregated.get(0);
    assertEquals(45L, splitIntToLong(combined.getInteger()));
  }

  @Test
  public void testAggregateMean() {
    List<CounterUpdate> meanUpdates = new ArrayList<>();
    for (int i = 0; i < 10; i++) {
      meanUpdates.add(
          new CounterUpdate()
              .setStructuredNameAndMetadata(
                  new CounterStructuredNameAndMetadata()
                      .setMetadata(new CounterMetadata().setKind(Kind.MEAN.toString())))
              .setIntegerMean(
                  new IntegerMean().setSum(longToSplitInt((long) i)).setCount(longToSplitInt(1L))));
    }
    List<CounterUpdate> aggregated = CounterUpdateAggregators.aggregate(meanUpdates);
    assertEquals(1, aggregated.size());
    CounterUpdate combined = aggregated.get(0);
    assertEquals(45L, splitIntToLong(combined.getIntegerMean().getSum()));
    assertEquals(10L, splitIntToLong(combined.getIntegerMean().getCount()));
  }

  @Test
  public void testAggregateDistribution() {
    List<CounterUpdate> distributionUpdates = new ArrayList<>();
    for (int i = 0; i < 10; i++) {
      distributionUpdates.add(
          new CounterUpdate()
              .setStructuredNameAndMetadata(
                  new CounterStructuredNameAndMetadata()
                      .setMetadata(new CounterMetadata().setKind(Kind.DISTRIBUTION.toString())))
              .setDistribution(
                  new DistributionUpdate()
                      .setSum(longToSplitInt((long) i))
                      .setMax(longToSplitInt((long) i))
                      .setMin(longToSplitInt((long) i))
                      .setCount(longToSplitInt((long) 1))));
    }
    List<CounterUpdate> aggregated = CounterUpdateAggregators.aggregate(distributionUpdates);
    assertEquals(1, aggregated.size());
    CounterUpdate combined = aggregated.get(0);
    assertEquals(45L, splitIntToLong(combined.getDistribution().getSum()));
    assertEquals(10L, splitIntToLong(combined.getDistribution().getCount()));
    assertEquals(9L, splitIntToLong(combined.getDistribution().getMax()));
    assertEquals(0L, splitIntToLong(combined.getDistribution().getMin()));
  }
}