Aggregations/HL Rest client fix: missing scores (#32774)
Significance score doubles were being parsed as long. Existing tests did not catch this because SignificantLongTermsTests and SignificantStringTermsTests did not set the score. Fixed these and also added integration test. Thanks for the report/fix, Blakko Closes #32770
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@ -59,6 +59,9 @@ import org.elasticsearch.search.SearchHit;
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import org.elasticsearch.search.aggregations.BucketOrder;
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import org.elasticsearch.search.aggregations.bucket.range.Range;
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import org.elasticsearch.search.aggregations.bucket.range.RangeAggregationBuilder;
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import org.elasticsearch.search.aggregations.bucket.significant.SignificantTerms;
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import org.elasticsearch.search.aggregations.bucket.significant.SignificantTermsAggregationBuilder;
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import org.elasticsearch.search.aggregations.bucket.significant.heuristics.PercentageScore;
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import org.elasticsearch.search.aggregations.bucket.terms.Terms;
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import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
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import org.elasticsearch.search.aggregations.matrix.stats.MatrixStats;
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@ -267,6 +270,33 @@ public class SearchIT extends ESRestHighLevelClientTestCase {
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assertEquals(2, type2.getDocCount());
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assertEquals(0, type2.getAggregations().asList().size());
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}
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public void testSearchWithSignificantTermsAgg() throws IOException {
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SearchRequest searchRequest = new SearchRequest();
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SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
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searchSourceBuilder.query(new MatchQueryBuilder("num","50"));
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searchSourceBuilder.aggregation(new SignificantTermsAggregationBuilder("agg1", ValueType.STRING)
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.field("type.keyword")
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.minDocCount(1)
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.significanceHeuristic(new PercentageScore()));
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searchSourceBuilder.size(0);
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searchRequest.source(searchSourceBuilder);
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SearchResponse searchResponse = execute(searchRequest, highLevelClient()::search, highLevelClient()::searchAsync);
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assertSearchHeader(searchResponse);
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assertNull(searchResponse.getSuggest());
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assertEquals(Collections.emptyMap(), searchResponse.getProfileResults());
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assertEquals(0, searchResponse.getHits().getHits().length);
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assertEquals(0f, searchResponse.getHits().getMaxScore(), 0f);
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SignificantTerms significantTermsAgg = searchResponse.getAggregations().get("agg1");
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assertEquals("agg1", significantTermsAgg.getName());
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assertEquals(1, significantTermsAgg.getBuckets().size());
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SignificantTerms.Bucket type1 = significantTermsAgg.getBucketByKey("type1");
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assertEquals(1, type1.getDocCount());
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assertEquals(1, type1.getSubsetDf());
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assertEquals(1, type1.getSubsetSize());
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assertEquals(3, type1.getSupersetDf());
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assertEquals(1d/3d, type1.getSignificanceScore(), 0d);
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}
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public void testSearchWithRangeAgg() throws IOException {
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{
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@ -175,7 +175,7 @@ public abstract class ParsedSignificantTerms extends ParsedMultiBucketAggregatio
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bucket.subsetDf = value;
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bucket.setDocCount(value);
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} else if (InternalSignificantTerms.SCORE.equals(currentFieldName)) {
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bucket.score = parser.longValue();
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bucket.score = parser.doubleValue();
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} else if (InternalSignificantTerms.BG_COUNT.equals(currentFieldName)) {
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bucket.supersetDf = parser.longValue();
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}
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@ -57,7 +57,10 @@ public class SignificantLongTermsTests extends InternalSignificantTermsTestCase
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Set<Long> terms = new HashSet<>();
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for (int i = 0; i < numBuckets; ++i) {
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long term = randomValueOtherThanMany(l -> terms.add(l) == false, random()::nextLong);
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buckets.add(new SignificantLongTerms.Bucket(subsetDfs[i], subsetSize, supersetDfs[i], supersetSize, term, aggs, format));
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SignificantLongTerms.Bucket bucket = new SignificantLongTerms.Bucket(subsetDfs[i], subsetSize,
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supersetDfs[i], supersetSize, term, aggs, format);
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bucket.updateScore(significanceHeuristic);
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buckets.add(bucket);
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}
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return new SignificantLongTerms(name, requiredSize, 1L, pipelineAggregators, metaData, format, subsetSize,
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supersetSize, significanceHeuristic, buckets);
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@ -50,7 +50,10 @@ public class SignificantStringTermsTests extends InternalSignificantTermsTestCas
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Set<BytesRef> terms = new HashSet<>();
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for (int i = 0; i < numBuckets; ++i) {
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BytesRef term = randomValueOtherThanMany(b -> terms.add(b) == false, () -> new BytesRef(randomAlphaOfLength(10)));
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buckets.add(new SignificantStringTerms.Bucket(term, subsetDfs[i], subsetSize, supersetDfs[i], supersetSize, aggs, format));
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SignificantStringTerms.Bucket bucket = new SignificantStringTerms.Bucket(term, subsetDfs[i], subsetSize,
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supersetDfs[i], supersetSize, aggs, format);
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bucket.updateScore(significanceHeuristic);
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buckets.add(bucket);
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}
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return new SignificantStringTerms(name, requiredSize, 1L, pipelineAggregators, metaData, format, subsetSize,
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supersetSize, significanceHeuristic, buckets);
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