Examples with Bucket org.elasticsearch.search.aggregations.bucket.histogram.Histogram.Bucket used on opensource projects

Example 91 with Bucket

use of org.elasticsearch.search.aggregations.bucket.histogram.Histogram.Bucket in project elasticsearch by elastic.

the class MovAvgIT method testLinearSingleValuedField.

public void testLinearSingleValuedField() {
    SearchResponse response = client().prepareSearch("idx").setTypes("type").addAggregation(histogram("histo").field(INTERVAL_FIELD).interval(interval).extendedBounds(0L, (long) (interval * (numBuckets - 1))).subAggregation(metric).subAggregation(movingAvg("movavg_counts", "_count").window(windowSize).modelBuilder(new LinearModel.LinearModelBuilder()).gapPolicy(gapPolicy)).subAggregation(movingAvg("movavg_values", "the_metric").window(windowSize).modelBuilder(new LinearModel.LinearModelBuilder()).gapPolicy(gapPolicy))).execute().actionGet();
    assertSearchResponse(response);
    Histogram histo = response.getAggregations().get("histo");
    assertThat(histo, notNullValue());
    assertThat(histo.getName(), equalTo("histo"));
    List<? extends Bucket> buckets = histo.getBuckets();
    assertThat("Size of buckets array is not correct.", buckets.size(), equalTo(mockHisto.size()));
    List<Double> expectedCounts = testValues.get(MovAvgType.LINEAR.name() + "_" + MetricTarget.COUNT.name());
    List<Double> expectedValues = testValues.get(MovAvgType.LINEAR.name() + "_" + MetricTarget.VALUE.name());
    Iterator<? extends Histogram.Bucket> actualIter = buckets.iterator();
    Iterator<PipelineAggregationHelperTests.MockBucket> expectedBucketIter = mockHisto.iterator();
    Iterator<Double> expectedCountsIter = expectedCounts.iterator();
    Iterator<Double> expectedValuesIter = expectedValues.iterator();
    while (actualIter.hasNext()) {
        assertValidIterators(expectedBucketIter, expectedCountsIter, expectedValuesIter);
        Histogram.Bucket actual = actualIter.next();
        PipelineAggregationHelperTests.MockBucket expected = expectedBucketIter.next();
        Double expectedCount = expectedCountsIter.next();
        Double expectedValue = expectedValuesIter.next();
        assertThat("keys do not match", ((Number) actual.getKey()).longValue(), equalTo(expected.key));
        assertThat("doc counts do not match", actual.getDocCount(), equalTo((long) expected.count));
        assertBucketContents(actual, expectedCount, expectedValue);
    }
}

Example 92 with Bucket

use of org.elasticsearch.search.aggregations.bucket.histogram.Histogram.Bucket in project elasticsearch by elastic.

the class MovAvgIT method testSimpleSingleValuedField.

/**
     * test simple moving average on single value field
     */
public void testSimpleSingleValuedField() {
    SearchResponse response = client().prepareSearch("idx").setTypes("type").addAggregation(histogram("histo").field(INTERVAL_FIELD).interval(interval).extendedBounds(0L, (long) (interval * (numBuckets - 1))).subAggregation(metric).subAggregation(movingAvg("movavg_counts", "_count").window(windowSize).modelBuilder(new SimpleModel.SimpleModelBuilder()).gapPolicy(gapPolicy)).subAggregation(movingAvg("movavg_values", "the_metric").window(windowSize).modelBuilder(new SimpleModel.SimpleModelBuilder()).gapPolicy(gapPolicy))).execute().actionGet();
    assertSearchResponse(response);
    Histogram histo = response.getAggregations().get("histo");
    assertThat(histo, notNullValue());
    assertThat(histo.getName(), equalTo("histo"));
    List<? extends Bucket> buckets = histo.getBuckets();
    assertThat("Size of buckets array is not correct.", buckets.size(), equalTo(mockHisto.size()));
    List<Double> expectedCounts = testValues.get(MovAvgType.SIMPLE.name() + "_" + MetricTarget.COUNT.name());
    List<Double> expectedValues = testValues.get(MovAvgType.SIMPLE.name() + "_" + MetricTarget.VALUE.name());
    Iterator<? extends Histogram.Bucket> actualIter = buckets.iterator();
    Iterator<PipelineAggregationHelperTests.MockBucket> expectedBucketIter = mockHisto.iterator();
    Iterator<Double> expectedCountsIter = expectedCounts.iterator();
    Iterator<Double> expectedValuesIter = expectedValues.iterator();
    while (actualIter.hasNext()) {
        assertValidIterators(expectedBucketIter, expectedCountsIter, expectedValuesIter);
        Histogram.Bucket actual = actualIter.next();
        PipelineAggregationHelperTests.MockBucket expected = expectedBucketIter.next();
        Double expectedCount = expectedCountsIter.next();
        Double expectedValue = expectedValuesIter.next();
        assertThat("keys do not match", ((Number) actual.getKey()).longValue(), equalTo(expected.key));
        assertThat("doc counts do not match", actual.getDocCount(), equalTo((long) expected.count));
        assertBucketContents(actual, expectedCount, expectedValue);
    }
}

Example 93 with Bucket

use of org.elasticsearch.search.aggregations.bucket.histogram.Histogram.Bucket in project elasticsearch by elastic.

the class AvgBucketIT method testMetricAsSubAgg.

public void testMetricAsSubAgg() throws Exception {
    SearchResponse response = client().prepareSearch("idx").addAggregation(terms("terms").field("tag").order(Order.term(true)).subAggregation(histogram("histo").field(SINGLE_VALUED_FIELD_NAME).interval(interval).extendedBounds(minRandomValue, maxRandomValue).subAggregation(sum("sum").field(SINGLE_VALUED_FIELD_NAME))).subAggregation(avgBucket("avg_bucket", "histo>sum"))).execute().actionGet();
    assertSearchResponse(response);
    Terms terms = response.getAggregations().get("terms");
    assertThat(terms, notNullValue());
    assertThat(terms.getName(), equalTo("terms"));
    List<Terms.Bucket> termsBuckets = terms.getBuckets();
    assertThat(termsBuckets.size(), equalTo(interval));
    for (int i = 0; i < interval; ++i) {
        Terms.Bucket termsBucket = termsBuckets.get(i);
        assertThat(termsBucket, notNullValue());
        assertThat((String) termsBucket.getKey(), equalTo("tag" + (i % interval)));
        Histogram histo = termsBucket.getAggregations().get("histo");
        assertThat(histo, notNullValue());
        assertThat(histo.getName(), equalTo("histo"));
        List<? extends Bucket> buckets = histo.getBuckets();
        double bucketSum = 0;
        int count = 0;
        for (int j = 0; j < numValueBuckets; ++j) {
            Histogram.Bucket bucket = buckets.get(j);
            assertThat(bucket, notNullValue());
            assertThat(((Number) bucket.getKey()).longValue(), equalTo((long) j * interval));
            if (bucket.getDocCount() != 0) {
                Sum sum = bucket.getAggregations().get("sum");
                assertThat(sum, notNullValue());
                count++;
                bucketSum += sum.value();
            }
        }
        double avgValue = count == 0 ? Double.NaN : (bucketSum / count);
        InternalSimpleValue avgBucketValue = termsBucket.getAggregations().get("avg_bucket");
        assertThat(avgBucketValue, notNullValue());
        assertThat(avgBucketValue.getName(), equalTo("avg_bucket"));
        assertThat(avgBucketValue.value(), equalTo(avgValue));
    }
}

Example 94 with Bucket

use of org.elasticsearch.search.aggregations.bucket.histogram.Histogram.Bucket in project elasticsearch by elastic.

the class AvgBucketIT method testMetricTopLevel.

public void testMetricTopLevel() throws Exception {
    SearchResponse response = client().prepareSearch("idx").addAggregation(terms("terms").field("tag").subAggregation(sum("sum").field(SINGLE_VALUED_FIELD_NAME))).addAggregation(avgBucket("avg_bucket", "terms>sum")).execute().actionGet();
    assertSearchResponse(response);
    Terms terms = response.getAggregations().get("terms");
    assertThat(terms, notNullValue());
    assertThat(terms.getName(), equalTo("terms"));
    List<Terms.Bucket> buckets = terms.getBuckets();
    assertThat(buckets.size(), equalTo(interval));
    double bucketSum = 0;
    int count = 0;
    for (int i = 0; i < interval; ++i) {
        Terms.Bucket bucket = buckets.get(i);
        assertThat(bucket, notNullValue());
        assertThat((String) bucket.getKey(), equalTo("tag" + (i % interval)));
        assertThat(bucket.getDocCount(), greaterThan(0L));
        Sum sum = bucket.getAggregations().get("sum");
        assertThat(sum, notNullValue());
        count++;
        bucketSum += sum.value();
    }
    double avgValue = count == 0 ? Double.NaN : (bucketSum / count);
    InternalSimpleValue avgBucketValue = response.getAggregations().get("avg_bucket");
    assertThat(avgBucketValue, notNullValue());
    assertThat(avgBucketValue.getName(), equalTo("avg_bucket"));
    assertThat(avgBucketValue.value(), equalTo(avgValue));
}

Example 95 with Bucket

use of org.elasticsearch.search.aggregations.bucket.histogram.Histogram.Bucket in project elasticsearch by elastic.

the class ExtendedStatsBucketIT method testDocCountAsSubAgg.

public void testDocCountAsSubAgg() throws Exception {
    SearchResponse response = client().prepareSearch("idx").addAggregation(terms("terms").field("tag").order(Order.term(true)).subAggregation(histogram("histo").field(SINGLE_VALUED_FIELD_NAME).interval(interval).extendedBounds(minRandomValue, maxRandomValue)).subAggregation(extendedStatsBucket("extended_stats_bucket", "histo>_count"))).execute().actionGet();
    assertSearchResponse(response);
    Terms terms = response.getAggregations().get("terms");
    assertThat(terms, notNullValue());
    assertThat(terms.getName(), equalTo("terms"));
    List<Terms.Bucket> termsBuckets = terms.getBuckets();
    assertThat(termsBuckets.size(), equalTo(interval));
    for (int i = 0; i < interval; ++i) {
        Terms.Bucket termsBucket = termsBuckets.get(i);
        assertThat(termsBucket, notNullValue());
        assertThat((String) termsBucket.getKey(), equalTo("tag" + (i % interval)));
        Histogram histo = termsBucket.getAggregations().get("histo");
        assertThat(histo, notNullValue());
        assertThat(histo.getName(), equalTo("histo"));
        List<? extends Bucket> buckets = histo.getBuckets();
        double sum = 0;
        int count = 0;
        double min = Double.POSITIVE_INFINITY;
        double max = Double.NEGATIVE_INFINITY;
        double sumOfSquares = 0;
        for (int j = 0; j < numValueBuckets; ++j) {
            Histogram.Bucket bucket = buckets.get(j);
            assertThat(bucket, notNullValue());
            assertThat(((Number) bucket.getKey()).longValue(), equalTo((long) j * interval));
            count++;
            sum += bucket.getDocCount();
            min = Math.min(min, bucket.getDocCount());
            max = Math.max(max, bucket.getDocCount());
            sumOfSquares += bucket.getDocCount() * bucket.getDocCount();
        }
        double avgValue = count == 0 ? Double.NaN : (sum / count);
        ExtendedStatsBucket extendedStatsBucketValue = termsBucket.getAggregations().get("extended_stats_bucket");
        assertThat(extendedStatsBucketValue, notNullValue());
        assertThat(extendedStatsBucketValue.getName(), equalTo("extended_stats_bucket"));
        assertThat(extendedStatsBucketValue.getAvg(), equalTo(avgValue));
        assertThat(extendedStatsBucketValue.getMin(), equalTo(min));
        assertThat(extendedStatsBucketValue.getMax(), equalTo(max));
        assertThat(extendedStatsBucketValue.getSumOfSquares(), equalTo(sumOfSquares));
    }
}