use of org.opensearch.search.aggregations.bucket.filter.Filter in project OpenSearch by opensearch-project.
the class EquivalenceIT method testRandomRanges.
// Make sure that unordered, reversed, disjoint and/or overlapping ranges are supported
// Duel with filters
public void testRandomRanges() throws Exception {
final int numDocs = scaledRandomIntBetween(500, 5000);
final double[][] docs = new double[numDocs][];
for (int i = 0; i < numDocs; ++i) {
final int numValues = randomInt(5);
docs[i] = new double[numValues];
for (int j = 0; j < numValues; ++j) {
docs[i][j] = randomDouble() * 100;
}
}
prepareCreate("idx").addMapping("type", jsonBuilder().startObject().startObject("type").startObject("properties").startObject("values").field("type", "double").endObject().endObject().endObject().endObject()).get();
for (int i = 0; i < docs.length; ++i) {
XContentBuilder source = jsonBuilder().startObject().startArray("values");
for (int j = 0; j < docs[i].length; ++j) {
source = source.value(docs[i][j]);
}
source = source.endArray().endObject();
client().prepareIndex("idx").setSource(source).get();
}
assertNoFailures(client().admin().indices().prepareRefresh("idx").setIndicesOptions(IndicesOptions.lenientExpandOpen()).get());
final int numRanges = randomIntBetween(1, 20);
final double[][] ranges = new double[numRanges][];
for (int i = 0; i < ranges.length; ++i) {
switch(randomInt(2)) {
case 0:
ranges[i] = new double[] { Double.NEGATIVE_INFINITY, randomInt(100) };
break;
case 1:
ranges[i] = new double[] { randomInt(100), Double.POSITIVE_INFINITY };
break;
case 2:
ranges[i] = new double[] { randomInt(100), randomInt(100) };
break;
default:
throw new AssertionError();
}
}
RangeAggregationBuilder query = range("range").field("values");
for (int i = 0; i < ranges.length; ++i) {
String key = Integer.toString(i);
if (ranges[i][0] == Double.NEGATIVE_INFINITY) {
query.addUnboundedTo(key, ranges[i][1]);
} else if (ranges[i][1] == Double.POSITIVE_INFINITY) {
query.addUnboundedFrom(key, ranges[i][0]);
} else {
query.addRange(key, ranges[i][0], ranges[i][1]);
}
}
SearchRequestBuilder reqBuilder = client().prepareSearch("idx").addAggregation(query);
for (int i = 0; i < ranges.length; ++i) {
RangeQueryBuilder filter = QueryBuilders.rangeQuery("values");
if (ranges[i][0] != Double.NEGATIVE_INFINITY) {
filter = filter.from(ranges[i][0]);
}
if (ranges[i][1] != Double.POSITIVE_INFINITY) {
filter = filter.to(ranges[i][1]);
}
reqBuilder = reqBuilder.addAggregation(filter("filter" + i, filter));
}
SearchResponse resp = reqBuilder.get();
Range range = resp.getAggregations().get("range");
List<? extends Bucket> buckets = range.getBuckets();
HashMap<String, Bucket> bucketMap = new HashMap<>(buckets.size());
for (Bucket bucket : buckets) {
bucketMap.put(bucket.getKeyAsString(), bucket);
}
for (int i = 0; i < ranges.length; ++i) {
long count = 0;
for (double[] values : docs) {
for (double value : values) {
if (value >= ranges[i][0] && value < ranges[i][1]) {
++count;
break;
}
}
}
final Range.Bucket bucket = bucketMap.get(Integer.toString(i));
assertEquals(bucket.getKeyAsString(), Integer.toString(i), bucket.getKeyAsString());
assertEquals(bucket.getKeyAsString(), count, bucket.getDocCount());
final Filter filter = resp.getAggregations().get("filter" + i);
assertThat(filter.getDocCount(), equalTo(count));
}
}
use of org.opensearch.search.aggregations.bucket.filter.Filter in project OpenSearch by opensearch-project.
the class EquivalenceIT method testReduce.
// https://github.com/elastic/elasticsearch/issues/6435
public void testReduce() throws Exception {
createIndex("idx");
final int value = randomIntBetween(0, 10);
indexRandom(true, client().prepareIndex("idx").setSource("f", value));
SearchResponse response = client().prepareSearch("idx").addAggregation(filter("filter", QueryBuilders.matchAllQuery()).subAggregation(range("range").field("f").addUnboundedTo(6).addUnboundedFrom(6).subAggregation(sum("sum").field("f")))).get();
assertSearchResponse(response);
Filter filter = response.getAggregations().get("filter");
assertNotNull(filter);
assertEquals(1, filter.getDocCount());
Range range = filter.getAggregations().get("range");
assertThat(range, notNullValue());
assertThat(range.getName(), equalTo("range"));
List<? extends Bucket> buckets = range.getBuckets();
assertThat(buckets.size(), equalTo(2));
Range.Bucket bucket = buckets.get(0);
assertThat(bucket, notNullValue());
assertThat((String) bucket.getKey(), equalTo("*-6.0"));
assertThat(((Number) bucket.getFrom()).doubleValue(), equalTo(Double.NEGATIVE_INFINITY));
assertThat(((Number) bucket.getTo()).doubleValue(), equalTo(6.0));
assertThat(bucket.getDocCount(), equalTo(value < 6 ? 1L : 0L));
Sum sum = bucket.getAggregations().get("sum");
assertEquals(value < 6 ? value : 0, sum.getValue(), 0d);
bucket = buckets.get(1);
assertThat(bucket, notNullValue());
assertThat((String) bucket.getKey(), equalTo("6.0-*"));
assertThat(((Number) bucket.getFrom()).doubleValue(), equalTo(6.0));
assertThat(((Number) bucket.getTo()).doubleValue(), equalTo(Double.POSITIVE_INFINITY));
assertThat(bucket.getDocCount(), equalTo(value >= 6 ? 1L : 0L));
sum = bucket.getAggregations().get("sum");
assertEquals(value >= 6 ? value : 0, sum.getValue(), 0d);
}
use of org.opensearch.search.aggregations.bucket.filter.Filter in project OpenSearch by opensearch-project.
the class FilterIT method testAsSubAggregation.
public void testAsSubAggregation() {
SearchResponse response = client().prepareSearch("idx").addAggregation(histogram("histo").field("value").interval(2L).subAggregation(filter("filter", matchAllQuery()))).get();
assertSearchResponse(response);
Histogram histo = response.getAggregations().get("histo");
assertThat(histo, notNullValue());
assertThat(histo.getBuckets().size(), greaterThanOrEqualTo(1));
for (Histogram.Bucket bucket : histo.getBuckets()) {
Filter filter = bucket.getAggregations().get("filter");
assertThat(filter, notNullValue());
assertEquals(bucket.getDocCount(), filter.getDocCount());
}
}
use of org.opensearch.search.aggregations.bucket.filter.Filter in project OpenSearch by opensearch-project.
the class FilterIT method testEmptyFilterDeclarations.
// See NullPointer issue when filters are empty:
// https://github.com/elastic/elasticsearch/issues/8438
public void testEmptyFilterDeclarations() throws Exception {
QueryBuilder emptyFilter = new BoolQueryBuilder();
SearchResponse response = client().prepareSearch("idx").addAggregation(filter("tag1", emptyFilter)).get();
assertSearchResponse(response);
Filter filter = response.getAggregations().get("tag1");
assertThat(filter, notNullValue());
assertThat(filter.getDocCount(), equalTo((long) numDocs));
}
use of org.opensearch.search.aggregations.bucket.filter.Filter in project OpenSearch by opensearch-project.
the class FilterIT method testWithSubAggregation.
public void testWithSubAggregation() throws Exception {
SearchResponse response = client().prepareSearch("idx").addAggregation(filter("tag1", termQuery("tag", "tag1")).subAggregation(avg("avg_value").field("value"))).get();
assertSearchResponse(response);
Filter filter = response.getAggregations().get("tag1");
assertThat(filter, notNullValue());
assertThat(filter.getName(), equalTo("tag1"));
assertThat(filter.getDocCount(), equalTo((long) numTag1Docs));
assertThat((long) ((InternalAggregation) filter).getProperty("_count"), equalTo((long) numTag1Docs));
long sum = 0;
for (int i = 0; i < numTag1Docs; ++i) {
sum += i + 1;
}
assertThat(filter.getAggregations().asList().isEmpty(), is(false));
Avg avgValue = filter.getAggregations().get("avg_value");
assertThat(avgValue, notNullValue());
assertThat(avgValue.getName(), equalTo("avg_value"));
assertThat(avgValue.getValue(), equalTo((double) sum / numTag1Docs));
assertThat((double) ((InternalAggregation) filter).getProperty("avg_value.value"), equalTo((double) sum / numTag1Docs));
}
Aggregations