#19571 Add _bucket_count option to buckets_path
Add _bucket_count option to buckets_path
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cef65eba54
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@ -43,7 +43,7 @@ public abstract class InternalMultiBucketAggregation<A extends InternalMultiBuck
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/**
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* Create a new copy of this {@link Aggregation} with the same settings as
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* this {@link Aggregation} and contains the provided buckets.
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*
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*
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* @param buckets
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* the buckets to use in the new {@link Aggregation}
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* @return the new {@link Aggregation}
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@ -53,7 +53,7 @@ public abstract class InternalMultiBucketAggregation<A extends InternalMultiBuck
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/**
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* Create a new {@link InternalBucket} using the provided prototype bucket
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* and aggregations.
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*
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*
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* @param aggregations
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* the aggregations for the new bucket
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* @param prototype
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@ -66,6 +66,8 @@ public abstract class InternalMultiBucketAggregation<A extends InternalMultiBuck
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public Object getProperty(List<String> path) {
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if (path.isEmpty()) {
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return this;
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} else if (path.get(0).equals("_bucket_count")) {
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return getBuckets().size();
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} else {
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List<? extends Bucket> buckets = getBuckets();
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Object[] propertyArray = new Object[buckets.size()];
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@ -380,6 +380,7 @@ public class DateHistogramIT extends ESIntegTestCase {
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assertThat(histo.getName(), equalTo("histo"));
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List<? extends Bucket> buckets = histo.getBuckets();
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assertThat(buckets.size(), equalTo(3));
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assertThat(histo.getProperty("_bucket_count"), equalTo(3));
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Object[] propertiesKeys = (Object[]) histo.getProperty("_key");
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Object[] propertiesDocCounts = (Object[]) histo.getProperty("_count");
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Object[] propertiesCounts = (Object[]) histo.getProperty("sum.value");
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@ -600,7 +601,7 @@ public class DateHistogramIT extends ESIntegTestCase {
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assertThat(histo.getBuckets().size(), equalTo(4));
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// TODO: use diamond once JI-9019884 is fixed
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List<Histogram.Bucket> buckets = new ArrayList<Histogram.Bucket>(histo.getBuckets());
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List<Histogram.Bucket> buckets = new ArrayList<>(histo.getBuckets());
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Histogram.Bucket bucket = buckets.get(0);
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assertThat(bucket, notNullValue());
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@ -137,7 +137,7 @@ public class DateRangeIT extends ESIntegTestCase {
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assertThat(range.getBuckets().size(), equalTo(3));
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// TODO: use diamond once JI-9019884 is fixed
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List<Range.Bucket> buckets = new ArrayList<Range.Bucket>(range.getBuckets());
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List<Range.Bucket> buckets = new ArrayList<>(range.getBuckets());
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Range.Bucket bucket = buckets.get(0);
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assertThat((String) bucket.getKey(), equalTo("a long time ago"));
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@ -421,6 +421,7 @@ public class DateRangeIT extends ESIntegTestCase {
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assertThat(range.getName(), equalTo("range"));
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List<? extends Bucket> buckets = range.getBuckets();
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assertThat(buckets.size(), equalTo(3));
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assertThat(range.getProperty("_bucket_count"), equalTo(3));
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Object[] propertiesKeys = (Object[]) range.getProperty("_key");
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Object[] propertiesDocCounts = (Object[]) range.getProperty("_count");
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Object[] propertiesCounts = (Object[]) range.getProperty("sum.value");
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@ -855,7 +856,7 @@ public class DateRangeIT extends ESIntegTestCase {
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Range dateRange = bucket.getAggregations().get("date_range");
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// TODO: use diamond once JI-9019884 is fixed
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List<Range.Bucket> buckets = new ArrayList<Range.Bucket>(dateRange.getBuckets());
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List<Range.Bucket> buckets = new ArrayList<>(dateRange.getBuckets());
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assertThat(dateRange, Matchers.notNullValue());
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assertThat(dateRange.getName(), equalTo("date_range"));
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assertThat(buckets.size(), is(1));
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@ -426,6 +426,7 @@ public class DoubleTermsIT extends AbstractTermsTestCase {
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assertThat(terms, notNullValue());
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assertThat(terms.getName(), equalTo("terms"));
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assertThat(terms.getBuckets().size(), equalTo(5));
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assertThat(terms.getProperty("_bucket_count"), equalTo(5));
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Object[] propertiesKeys = (Object[]) terms.getProperty("_key");
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Object[] propertiesDocCounts = (Object[]) terms.getProperty("_count");
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Object[] propertiesCounts = (Object[]) terms.getProperty("sum.value");
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@ -172,6 +172,7 @@ public class FiltersIT extends ESIntegTestCase {
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assertThat(filters.getName(), equalTo("tags"));
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assertThat(filters.getBuckets().size(), equalTo(2));
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assertThat(filters.getProperty("_bucket_count"), equalTo(2));
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Object[] propertiesKeys = (Object[]) filters.getProperty("_key");
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Object[] propertiesDocCounts = (Object[]) filters.getProperty("_count");
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Object[] propertiesCounts = (Object[]) filters.getProperty("avg_value.value");
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@ -426,6 +427,7 @@ public class FiltersIT extends ESIntegTestCase {
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assertThat(filters.getName(), equalTo("tags"));
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assertThat(filters.getBuckets().size(), equalTo(3));
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assertThat(filters.getProperty("_bucket_count"), equalTo(3));
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Object[] propertiesKeys = (Object[]) filters.getProperty("_key");
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Object[] propertiesDocCounts = (Object[]) filters.getProperty("_count");
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Object[] propertiesCounts = (Object[]) filters.getProperty("avg_value.value");
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@ -349,6 +349,7 @@ public class GeoDistanceIT extends ESIntegTestCase {
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assertThat(geoDist.getName(), equalTo("amsterdam_rings"));
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List<? extends Bucket> buckets = geoDist.getBuckets();
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assertThat(geoDist.getBuckets().size(), equalTo(3));
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assertThat(geoDist.getProperty("_bucket_count"), equalTo(3));
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Object[] propertiesKeys = (Object[]) geoDist.getProperty("_key");
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Object[] propertiesDocCounts = (Object[]) geoDist.getProperty("_count");
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Object[] propertiesCities = (Object[]) geoDist.getProperty("cities");
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@ -429,7 +430,7 @@ public class GeoDistanceIT extends ESIntegTestCase {
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Range geoDistance = bucket.getAggregations().get("geo_dist");
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// TODO: use diamond once JI-9019884 is fixed
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List<Range.Bucket> buckets = new ArrayList<Range.Bucket>(geoDistance.getBuckets());
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List<Range.Bucket> buckets = new ArrayList<>(geoDistance.getBuckets());
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assertThat(geoDistance, Matchers.notNullValue());
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assertThat(geoDistance.getName(), equalTo("geo_dist"));
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assertThat(buckets.size(), is(1));
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@ -26,7 +26,6 @@ import org.elasticsearch.plugins.Plugin;
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import org.elasticsearch.script.MockScriptPlugin;
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import org.elasticsearch.script.Script;
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import org.elasticsearch.script.ScriptService.ScriptType;
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import org.elasticsearch.search.aggregations.AggregationTestScriptsPlugin;
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import org.elasticsearch.search.aggregations.bucket.filter.Filter;
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import org.elasticsearch.search.aggregations.bucket.histogram.ExtendedBounds;
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import org.elasticsearch.search.aggregations.bucket.histogram.Histogram;
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@ -253,7 +252,7 @@ public class HistogramIT extends ESIntegTestCase {
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assertThat(histo.getBuckets().size(), equalTo(numValueBuckets));
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// TODO: use diamond once JI-9019884 is fixed
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List<Histogram.Bucket> buckets = new ArrayList<Histogram.Bucket>(histo.getBuckets());
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List<Histogram.Bucket> buckets = new ArrayList<>(histo.getBuckets());
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for (int i = 0; i < numValueBuckets; ++i) {
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Histogram.Bucket bucket = buckets.get(i);
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assertThat(bucket, notNullValue());
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@ -276,7 +275,7 @@ public class HistogramIT extends ESIntegTestCase {
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assertThat(histo.getBuckets().size(), equalTo(numValueBuckets));
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// TODO: use diamond once JI-9019884 is fixed
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List<Histogram.Bucket> buckets = new ArrayList<Histogram.Bucket>(histo.getBuckets());
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List<Histogram.Bucket> buckets = new ArrayList<>(histo.getBuckets());
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for (int i = 0; i < numValueBuckets; ++i) {
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Histogram.Bucket bucket = buckets.get(numValueBuckets - i - 1);
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assertThat(bucket, notNullValue());
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@ -300,7 +299,7 @@ public class HistogramIT extends ESIntegTestCase {
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LongHashSet buckets = new LongHashSet();
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// TODO: use diamond once JI-9019884 is fixed
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List<Histogram.Bucket> histoBuckets = new ArrayList<Histogram.Bucket>(histo.getBuckets());
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List<Histogram.Bucket> histoBuckets = new ArrayList<>(histo.getBuckets());
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long previousCount = Long.MIN_VALUE;
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for (int i = 0; i < numValueBuckets; ++i) {
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Histogram.Bucket bucket = histoBuckets.get(i);
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@ -329,7 +328,7 @@ public class HistogramIT extends ESIntegTestCase {
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LongHashSet buckets = new LongHashSet();
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// TODO: use diamond once JI-9019884 is fixed
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List<Histogram.Bucket> histoBuckets = new ArrayList<Histogram.Bucket>(histo.getBuckets());
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List<Histogram.Bucket> histoBuckets = new ArrayList<>(histo.getBuckets());
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long previousCount = Long.MAX_VALUE;
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for (int i = 0; i < numValueBuckets; ++i) {
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Histogram.Bucket bucket = histoBuckets.get(i);
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@ -356,12 +355,13 @@ public class HistogramIT extends ESIntegTestCase {
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assertThat(histo, notNullValue());
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assertThat(histo.getName(), equalTo("histo"));
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assertThat(histo.getBuckets().size(), equalTo(numValueBuckets));
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assertThat(histo.getProperty("_bucket_count"), equalTo(numValueBuckets));
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Object[] propertiesKeys = (Object[]) histo.getProperty("_key");
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Object[] propertiesDocCounts = (Object[]) histo.getProperty("_count");
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Object[] propertiesCounts = (Object[]) histo.getProperty("sum.value");
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// TODO: use diamond once JI-9019884 is fixed
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List<Histogram.Bucket> buckets = new ArrayList<Histogram.Bucket>(histo.getBuckets());
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List<Histogram.Bucket> buckets = new ArrayList<>(histo.getBuckets());
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for (int i = 0; i < numValueBuckets; ++i) {
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Histogram.Bucket bucket = buckets.get(i);
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assertThat(bucket, notNullValue());
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@ -404,7 +404,7 @@ public class HistogramIT extends ESIntegTestCase {
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LongHashSet visited = new LongHashSet();
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double previousSum = Double.NEGATIVE_INFINITY;
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// TODO: use diamond once JI-9019884 is fixed
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List<Histogram.Bucket> buckets = new ArrayList<Histogram.Bucket>(histo.getBuckets());
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List<Histogram.Bucket> buckets = new ArrayList<>(histo.getBuckets());
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for (int i = 0; i < numValueBuckets; ++i) {
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Histogram.Bucket bucket = buckets.get(i);
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assertThat(bucket, notNullValue());
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@ -448,7 +448,7 @@ public class HistogramIT extends ESIntegTestCase {
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LongHashSet visited = new LongHashSet();
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double previousSum = Double.POSITIVE_INFINITY;
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// TODO: use diamond once JI-9019884 is fixed
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List<Histogram.Bucket> buckets = new ArrayList<Histogram.Bucket>(histo.getBuckets());
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List<Histogram.Bucket> buckets = new ArrayList<>(histo.getBuckets());
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for (int i = 0; i < numValueBuckets; ++i) {
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Histogram.Bucket bucket = buckets.get(i);
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assertThat(bucket, notNullValue());
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@ -492,7 +492,7 @@ public class HistogramIT extends ESIntegTestCase {
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LongHashSet visited = new LongHashSet();
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double previousSum = Double.POSITIVE_INFINITY;
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// TODO: use diamond once JI-9019884 is fixed
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List<Histogram.Bucket> buckets = new ArrayList<Histogram.Bucket>(histo.getBuckets());
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List<Histogram.Bucket> buckets = new ArrayList<>(histo.getBuckets());
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for (int i = 0; i < numValueBuckets; ++i) {
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Histogram.Bucket bucket = buckets.get(i);
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assertThat(bucket, notNullValue());
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@ -538,7 +538,7 @@ public class HistogramIT extends ESIntegTestCase {
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LongHashSet visited = new LongHashSet();
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double prevMax = asc ? Double.NEGATIVE_INFINITY : Double.POSITIVE_INFINITY;
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// TODO: use diamond once JI-9019884 is fixed
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List<Histogram.Bucket> buckets = new ArrayList<Histogram.Bucket>(histo.getBuckets());
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List<Histogram.Bucket> buckets = new ArrayList<>(histo.getBuckets());
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for (int i = 0; i < numValueBuckets; ++i) {
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Histogram.Bucket bucket = buckets.get(i);
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assertThat(bucket, notNullValue());
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@ -625,7 +625,7 @@ public class HistogramIT extends ESIntegTestCase {
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assertThat(histo.getBuckets().size(), equalTo(numValuesBuckets));
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// TODO: use diamond once JI-9019884 is fixed
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List<Histogram.Bucket> buckets = new ArrayList<Histogram.Bucket>(histo.getBuckets());
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List<Histogram.Bucket> buckets = new ArrayList<>(histo.getBuckets());
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for (int i = 0; i < numValuesBuckets; ++i) {
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Histogram.Bucket bucket = buckets.get(numValuesBuckets - i - 1);
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assertThat(bucket, notNullValue());
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@ -107,8 +107,7 @@ a metric embedded inside a sibling aggregation:
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=== Special Paths
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Instead of pathing to a metric, `buckets_path` can use a special `"_count"` path. This instructs
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the pipeline aggregation to use the document count as it's input. For example, a moving average can be calculated on the document
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count of each bucket, instead of a specific metric:
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the pipeline aggregation to use the document count as it's input. For example, a moving average can be calculated on the document count of each bucket, instead of a specific metric:
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[source,js]
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--------------------------------------------------
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@ -128,6 +127,44 @@ count of each bucket, instead of a specific metric:
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--------------------------------------------------
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<1> By using `_count` instead of a metric name, we can calculate the moving average of document counts in the histogram
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The `buckets_path` can also use `"_bucket_count"` and path to a multi-bucket aggregation to use the number of buckets
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returned by that aggregation in the pipeline aggregation instead of a metric. for example a `bucket_selector` can be
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used here to filter out buckets which contain no buckets for an inner terms aggregation:
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[source,js]
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--------------------------------------------------
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{
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"size": 0,
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"aggs": {
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"histo": {
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"date_histogram": {
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"field": "date",
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"interval": "day"
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},
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"aggs": {
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"categories": {
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"terms": {
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"field": "category"
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}
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},
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"min_bucket_selector": {
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"bucket_selector": {
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"buckets_path": {
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"count": "categories._bucket_count"
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},
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"script": {
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"inline": "count != 0"
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}
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}
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}
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}
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}
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}
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}
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--------------------------------------------------
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<1> By using `_bucket_count` instead of a metric name, we can filter out `histo` buckets where they contain no buckets
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for the `categories` aggregation
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[[dots-in-agg-names]]
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[float]
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=== Dealing with dots in agg names
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