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* http://www.apache.org/licenses/LICENSE-2.0
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package org.elasticsearch.search.aggregations.pipeline;
import org.elasticsearch.action.index.IndexRequestBuilder;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.search.aggregations.bucket.histogram.Histogram;
import org.elasticsearch.search.aggregations.bucket.histogram.Histogram.Bucket;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.support.IncludeExclude;
import org.elasticsearch.search.aggregations.metrics.sum.Sum;
import org.elasticsearch.search.aggregations.pipeline.BucketHelpers.GapPolicy;
import org.elasticsearch.search.aggregations.BucketOrder;
import org.elasticsearch.test.ESIntegTestCase;
import java.util.ArrayList;
import java.util.List;
import static org.elasticsearch.common.xcontent.XContentFactory.jsonBuilder;
import static org.elasticsearch.search.aggregations.AggregationBuilders.histogram;
import static org.elasticsearch.search.aggregations.AggregationBuilders.sum;
import static org.elasticsearch.search.aggregations.AggregationBuilders.terms;
import static org.elasticsearch.search.aggregations.pipeline.PipelineAggregatorBuilders.avgBucket;
import static org.elasticsearch.test.hamcrest.ElasticsearchAssertions.assertAcked;
import static org.elasticsearch.test.hamcrest.ElasticsearchAssertions.assertSearchResponse;
import static org.hamcrest.Matchers.equalTo;
import static org.hamcrest.Matchers.greaterThan;
import static org.hamcrest.core.IsNull.notNullValue;
@ESIntegTestCase.SuiteScopeTestCase
public class AvgBucketIT extends ESIntegTestCase {
private static final String SINGLE_VALUED_FIELD_NAME = "l_value";
static int numDocs;
static int interval;
static int minRandomValue;
static int maxRandomValue;
static int numValueBuckets;
static long[] valueCounts;
@Override
public void setupSuiteScopeCluster() throws Exception {
assertAcked(client().admin().indices().prepareCreate("idx")
.addMapping("type", "tag", "type=keyword").get());
createIndex("idx_unmapped");
numDocs = randomIntBetween(6, 20);
interval = randomIntBetween(2, 5);
minRandomValue = 0;
maxRandomValue = 20;
numValueBuckets = ((maxRandomValue - minRandomValue) / interval) + 1;
valueCounts = new long[numValueBuckets];
List<IndexRequestBuilder> builders = new ArrayList<>();
for (int i = 0; i < numDocs; i++) {
int fieldValue = randomIntBetween(minRandomValue, maxRandomValue);
builders.add(client().prepareIndex("idx", "type").setSource(
jsonBuilder().startObject().field(SINGLE_VALUED_FIELD_NAME, fieldValue).field("tag", "tag" + (i % interval))
.endObject()));
final int bucket = (fieldValue / interval); // + (fieldValue < 0 ? -1 : 0) - (minRandomValue / interval - 1);
valueCounts[bucket]++;
}
assertAcked(prepareCreate("empty_bucket_idx").addMapping("type", SINGLE_VALUED_FIELD_NAME, "type=integer"));
for (int i = 0; i < 2; i++) {
builders.add(client().prepareIndex("empty_bucket_idx", "type", "" + i).setSource(
jsonBuilder().startObject().field(SINGLE_VALUED_FIELD_NAME, i * 2).endObject()));
}
indexRandom(true, builders);
ensureSearchable();
}
public void testDocCountTopLevel() throws Exception {
SearchResponse response = client().prepareSearch("idx")
.addAggregation(histogram("histo").field(SINGLE_VALUED_FIELD_NAME).interval(interval)
.extendedBounds(minRandomValue, maxRandomValue))
.addAggregation(avgBucket("avg_bucket", "histo>_count")).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(buckets.size(), equalTo(numValueBuckets));
double sum = 0;
int count = 0;
for (int i = 0; i < numValueBuckets; ++i) {
Histogram.Bucket bucket = buckets.get(i);
assertThat(bucket, notNullValue());
assertThat(((Number) bucket.getKey()).longValue(), equalTo((long) i * interval));
assertThat(bucket.getDocCount(), equalTo(valueCounts[i]));
count++;
sum += bucket.getDocCount();
}
double avgValue = count == 0 ? Double.NaN : (sum / count);
InternalSimpleValue avgBucketValue = response.getAggregations().get("avg_bucket");
assertThat(avgBucketValue, notNullValue());
assertThat(avgBucketValue.getName(), equalTo("avg_bucket"));
assertThat(avgBucketValue.value(), equalTo(avgValue));
}
public void testDocCountAsSubAgg() throws Exception {
SearchResponse response = client()
.prepareSearch("idx")
.addAggregation(
terms("terms")
.field("tag")
.order(BucketOrder.key(true))
.subAggregation(
histogram("histo").field(SINGLE_VALUED_FIELD_NAME).interval(interval)
.extendedBounds(minRandomValue, maxRandomValue))
.subAggregation(avgBucket("avg_bucket", "histo>_count"))).execute().actionGet();
assertSearchResponse(response);
Terms terms = response.getAggregations().get("terms");
assertThat(terms, notNullValue());
assertThat(terms.getName(), equalTo("terms"));
List<? extends 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;
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();
}
double avgValue = count == 0 ? Double.NaN : (sum / count);
InternalSimpleValue avgBucketValue = termsBucket.getAggregations().get("avg_bucket");
assertThat(avgBucketValue, notNullValue());
assertThat(avgBucketValue.getName(), equalTo("avg_bucket"));
assertThat(avgBucketValue.value(), equalTo(avgValue));
}
}
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<? extends 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));
}
public void testMetricAsSubAgg() throws Exception {
SearchResponse response = client()
.prepareSearch("idx")
.addAggregation(
terms("terms")
.field("tag")
.order(BucketOrder.key(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<? extends 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));
}
}
public void testMetricAsSubAggWithInsertZeros() throws Exception {
SearchResponse response = client()
.prepareSearch("idx")
.addAggregation(
terms("terms")
.field("tag")
.order(BucketOrder.key(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").gapPolicy(GapPolicy.INSERT_ZEROS)))
.execute().actionGet();
assertSearchResponse(response);
Terms terms = response.getAggregations().get("terms");
assertThat(terms, notNullValue());
assertThat(terms.getName(), equalTo("terms"));
List<? extends 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));
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));
}
}
public void testNoBuckets() throws Exception {
SearchResponse response = client().prepareSearch("idx")
.addAggregation(terms("terms").field("tag").includeExclude(new IncludeExclude(null, "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<? extends Terms.Bucket> buckets = terms.getBuckets();
assertThat(buckets.size(), equalTo(0));
InternalSimpleValue avgBucketValue = response.getAggregations().get("avg_bucket");
assertThat(avgBucketValue, notNullValue());
assertThat(avgBucketValue.getName(), equalTo("avg_bucket"));
assertThat(avgBucketValue.value(), equalTo(Double.NaN));
}
public void testNested() throws Exception {
SearchResponse response = client()
.prepareSearch("idx")
.addAggregation(
terms("terms")
.field("tag")
.order(BucketOrder.key(true))
.subAggregation(
histogram("histo").field(SINGLE_VALUED_FIELD_NAME).interval(interval)
.extendedBounds(minRandomValue, maxRandomValue))
.subAggregation(avgBucket("avg_histo_bucket", "histo>_count")))
.addAggregation(avgBucket("avg_terms_bucket", "terms>avg_histo_bucket")).execute().actionGet();
assertSearchResponse(response);
Terms terms = response.getAggregations().get("terms");
assertThat(terms, notNullValue());
assertThat(terms.getName(), equalTo("terms"));
List<? extends Terms.Bucket> termsBuckets = terms.getBuckets();
assertThat(termsBuckets.size(), equalTo(interval));
double aggTermsSum = 0;
int aggTermsCount = 0;
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 aggHistoSum = 0;
int aggHistoCount = 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));
aggHistoCount++;
aggHistoSum += bucket.getDocCount();
}
double avgHistoValue = aggHistoCount == 0 ? Double.NaN : (aggHistoSum / aggHistoCount);
InternalSimpleValue avgBucketValue = termsBucket.getAggregations().get("avg_histo_bucket");
assertThat(avgBucketValue, notNullValue());
assertThat(avgBucketValue.getName(), equalTo("avg_histo_bucket"));
assertThat(avgBucketValue.value(), equalTo(avgHistoValue));
aggTermsCount++;
aggTermsSum += avgHistoValue;
}
double avgTermsValue = aggTermsCount == 0 ? Double.NaN : (aggTermsSum / aggTermsCount);
InternalSimpleValue avgBucketValue = response.getAggregations().get("avg_terms_bucket");
assertThat(avgBucketValue, notNullValue());
assertThat(avgBucketValue.getName(), equalTo("avg_terms_bucket"));
assertThat(avgBucketValue.value(), equalTo(avgTermsValue));
}
}