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   * 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.
   */
  package org.apache.beam.runners.spark.metrics;
  
  import static org.hamcrest.MatcherAssert.assertThat;
  import static org.hamcrest.Matchers.is;
  
  import org.apache.beam.runners.core.metrics.TestMetricsSink;
  import org.apache.beam.runners.spark.SparkPipelineOptions;
  import org.apache.beam.runners.spark.StreamingTest;
  import org.apache.beam.runners.spark.TestSparkPipelineOptions;
  import org.apache.beam.runners.spark.io.CreateStream;
  import org.apache.beam.sdk.coders.VarIntCoder;
  import org.apache.beam.sdk.metrics.Counter;
  import org.apache.beam.sdk.metrics.Metrics;
  import org.apache.beam.sdk.metrics.MetricsOptions;
  import org.apache.beam.sdk.testing.TestPipeline;
  import org.apache.beam.sdk.testing.UsesMetricsPusher;
  import org.apache.beam.sdk.transforms.Create;
  import org.apache.beam.sdk.transforms.DoFn;
  import org.apache.beam.sdk.transforms.ParDo;
  import org.apache.beam.sdk.transforms.windowing.FixedWindows;
  import org.apache.beam.sdk.transforms.windowing.Window;
  import org.apache.beam.sdk.values.TimestampedValue;
  import org.joda.time.Duration;
  import org.joda.time.Instant;
  import org.junit.Before;
  import org.junit.Rule;
  import org.junit.Test;
  import org.junit.experimental.categories.Category;
  import org.slf4j.Logger;
  import org.slf4j.LoggerFactory;
  
  /** A test that verifies that metrics push system works in spark runner. */
  public class SparkMetricsPusherTest {
  
    private static final Logger LOG = LoggerFactory.getLogger(SparkMetricsPusherTest.class);
    private static final String COUNTER_NAME = "counter";
  
    @Rule public final TestPipeline pipeline = TestPipeline.create();
  
    private Duration batchDuration() {
      return Duration.millis(
          pipeline.getOptions().as(SparkPipelineOptions.class).getBatchIntervalMillis());
    }
  
    @Before
    public void init() {
      TestMetricsSink.clear();
      MetricsOptions options = pipeline.getOptions().as(MetricsOptions.class);
      options.setMetricsSink(TestMetricsSink.class);
    }
  
    @Category(StreamingTest.class)
    @Test
    public void testInStreamingMode() throws Exception {
      pipeline.getOptions().as(TestSparkPipelineOptions.class).setStreaming(true);
  
      Instant instant = new Instant(0);
      CreateStream<Integer> source =
          CreateStream.of(VarIntCoder.of(), batchDuration())
              .emptyBatch()
              .advanceWatermarkForNextBatch(instant)
              .nextBatch(
                  TimestampedValue.of(1, instant),
                  TimestampedValue.of(2, instant),
                  TimestampedValue.of(3, instant))
              .advanceWatermarkForNextBatch(instant.plus(Duration.standardSeconds(1L)))
              .nextBatch(
                  TimestampedValue.of(4, instant.plus(Duration.standardSeconds(1L))),
                  TimestampedValue.of(5, instant.plus(Duration.standardSeconds(1L))),
                  TimestampedValue.of(6, instant.plus(Duration.standardSeconds(1L))))
              .advanceNextBatchWatermarkToInfinity();
      pipeline
          .apply(source)
          .apply(
              Window.<Integer>into(FixedWindows.of(Duration.standardSeconds(3L)))
                  .withAllowedLateness(Duration.ZERO))
          .apply(ParDo.of(new CountingDoFn()));
  
      pipeline.run();
      // give metrics pusher time to push
      Thread.sleep(
          (pipeline.getOptions().as(MetricsOptions.class).getMetricsPushPeriod() + 1L) * 1000);
      assertThat(TestMetricsSink.getCounterValue(COUNTER_NAME), is(6L));
    }
  
    private static class CountingDoFn extends DoFn<Integer, Integer> {
      private final Counter counter = Metrics.counter(SparkMetricsPusherTest.class, "counter");
  
      @ProcessElement
      public void processElement(ProcessContext context) {
        try {
          counter.inc();
          context.output(context.element());
        } catch (Exception e) {
          LOG.warn("Exception caught" + e);
        }
      }
    }
  
    @Category(UsesMetricsPusher.class)
    @Test
    public void testInBatchMode() throws Exception {
      pipeline.apply(Create.of(1, 2, 3, 4, 5, 6)).apply(ParDo.of(new CountingDoFn()));
  
      pipeline.run();
      // give metrics pusher time to push
      Thread.sleep(
          (pipeline.getOptions().as(MetricsOptions.class).getMetricsPushPeriod() + 1L) * 1000);
      assertThat(TestMetricsSink.getCounterValue(COUNTER_NAME), is(6L));
    }
  }
  