public void testXContentResponse() throws Exception {
String type = randomBoolean() ? "string" : "long";
String settings = "{\"index.number_of_shards\": 1, \"index.number_of_replicas\": 0}";
SharedSignificantTermsTestMethods.index01Docs(type, settings, this);
SearchResponse response =
client()
.prepareSearch(INDEX_NAME)
.setTypes(DOC_TYPE)
.addAggregation(
new TermsBuilder("class")
.field(CLASS_FIELD)
.subAggregation(new SignificantTermsBuilder("sig_terms").field(TEXT_FIELD)))
.execute()
.actionGet();
assertSearchResponse(response);
StringTerms classes = (StringTerms) response.getAggregations().get("class");
assertThat(classes.getBuckets().size(), equalTo(2));
for (Terms.Bucket classBucket : classes.getBuckets()) {
Map<String, Aggregation> aggs = classBucket.getAggregations().asMap();
assertTrue(aggs.containsKey("sig_terms"));
SignificantTerms agg = (SignificantTerms) aggs.get("sig_terms");
assertThat(agg.getBuckets().size(), equalTo(1));
String term = agg.iterator().next().getKeyAsString();
String classTerm = classBucket.getKeyAsString();
assertTrue(term.equals(classTerm));
}
XContentBuilder responseBuilder = XContentFactory.jsonBuilder();
classes.toXContent(responseBuilder, null);
String result = null;
if (type.equals("long")) {
result =
"\"class\"{\"doc_count_error_upper_bound\":0,\"sum_other_doc_count\":0,\"buckets\":[{\"key\":\"0\",\"doc_count\":4,\"sig_terms\":{\"doc_count\":4,\"buckets\":[{\"key\":0,\"key_as_string\":\"0\",\"doc_count\":4,\"score\":0.39999999999999997,\"bg_count\":5}]}},{\"key\":\"1\",\"doc_count\":3,\"sig_terms\":{\"doc_count\":3,\"buckets\":[{\"key\":1,\"key_as_string\":\"1\",\"doc_count\":3,\"score\":0.75,\"bg_count\":4}]}}]}";
} else {
result =
"\"class\"{\"doc_count_error_upper_bound\":0,\"sum_other_doc_count\":0,\"buckets\":[{\"key\":\"0\",\"doc_count\":4,\"sig_terms\":{\"doc_count\":4,\"buckets\":[{\"key\":\"0\",\"doc_count\":4,\"score\":0.39999999999999997,\"bg_count\":5}]}},{\"key\":\"1\",\"doc_count\":3,\"sig_terms\":{\"doc_count\":3,\"buckets\":[{\"key\":\"1\",\"doc_count\":3,\"score\":0.75,\"bg_count\":4}]}}]}";
}
assertThat(responseBuilder.string(), equalTo(result));
}
public void testPlugin() throws Exception {
String type = randomBoolean() ? "string" : "long";
String settings = "{\"index.number_of_shards\": 1, \"index.number_of_replicas\": 0}";
SharedSignificantTermsTestMethods.index01Docs(type, settings, this);
SearchResponse response =
client()
.prepareSearch(INDEX_NAME)
.setTypes(DOC_TYPE)
.addAggregation(
new TermsBuilder("class")
.field(CLASS_FIELD)
.subAggregation(
(new SignificantTermsBuilder("sig_terms"))
.field(TEXT_FIELD)
.significanceHeuristic(new SimpleHeuristic.SimpleHeuristicBuilder())
.minDocCount(1)))
.execute()
.actionGet();
assertSearchResponse(response);
StringTerms classes = (StringTerms) response.getAggregations().get("class");
assertThat(classes.getBuckets().size(), equalTo(2));
for (Terms.Bucket classBucket : classes.getBuckets()) {
Map<String, Aggregation> aggs = classBucket.getAggregations().asMap();
assertTrue(aggs.containsKey("sig_terms"));
SignificantTerms agg = (SignificantTerms) aggs.get("sig_terms");
assertThat(agg.getBuckets().size(), equalTo(2));
Iterator<SignificantTerms.Bucket> bucketIterator = agg.iterator();
SignificantTerms.Bucket sigBucket = bucketIterator.next();
String term = sigBucket.getKeyAsString();
String classTerm = classBucket.getKeyAsString();
assertTrue(term.equals(classTerm));
assertThat(sigBucket.getSignificanceScore(), closeTo(2.0, 1.e-8));
sigBucket = bucketIterator.next();
assertThat(sigBucket.getSignificanceScore(), closeTo(1.0, 1.e-8));
}
// we run the same test again but this time we do not call assertSearchResponse() before the
// assertions
// the reason is that this would trigger toXContent and we would like to check that this has no
// potential side effects
response =
client()
.prepareSearch(INDEX_NAME)
.setTypes(DOC_TYPE)
.addAggregation(
new TermsBuilder("class")
.field(CLASS_FIELD)
.subAggregation(
(new SignificantTermsBuilder("sig_terms"))
.field(TEXT_FIELD)
.significanceHeuristic(new SimpleHeuristic.SimpleHeuristicBuilder())
.minDocCount(1)))
.execute()
.actionGet();
classes = (StringTerms) response.getAggregations().get("class");
assertThat(classes.getBuckets().size(), equalTo(2));
for (Terms.Bucket classBucket : classes.getBuckets()) {
Map<String, Aggregation> aggs = classBucket.getAggregations().asMap();
assertTrue(aggs.containsKey("sig_terms"));
SignificantTerms agg = (SignificantTerms) aggs.get("sig_terms");
assertThat(agg.getBuckets().size(), equalTo(2));
Iterator<SignificantTerms.Bucket> bucketIterator = agg.iterator();
SignificantTerms.Bucket sigBucket = bucketIterator.next();
String term = sigBucket.getKeyAsString();
String classTerm = classBucket.getKeyAsString();
assertTrue(term.equals(classTerm));
assertThat(sigBucket.getSignificanceScore(), closeTo(2.0, 1.e-8));
sigBucket = bucketIterator.next();
assertThat(sigBucket.getSignificanceScore(), closeTo(1.0, 1.e-8));
}
}
// compute significance score by
// 1. terms agg on class and significant terms
// 2. filter buckets and set the background to the other class and set is_background false
// both should yield exact same result
public void testBackgroundVsSeparateSet(
SignificanceHeuristicBuilder significanceHeuristicExpectingSuperset,
SignificanceHeuristicBuilder significanceHeuristicExpectingSeparateSets)
throws Exception {
SearchResponse response1 =
client()
.prepareSearch(INDEX_NAME)
.setTypes(DOC_TYPE)
.addAggregation(
new TermsBuilder("class")
.field(CLASS_FIELD)
.subAggregation(
new SignificantTermsBuilder("sig_terms")
.field(TEXT_FIELD)
.minDocCount(1)
.significanceHeuristic(significanceHeuristicExpectingSuperset)))
.execute()
.actionGet();
assertSearchResponse(response1);
SearchResponse response2 =
client()
.prepareSearch(INDEX_NAME)
.setTypes(DOC_TYPE)
.addAggregation(
(new FilterAggregationBuilder("0"))
.filter(QueryBuilders.termQuery(CLASS_FIELD, "0"))
.subAggregation(
new SignificantTermsBuilder("sig_terms")
.field(TEXT_FIELD)
.minDocCount(1)
.backgroundFilter(QueryBuilders.termQuery(CLASS_FIELD, "1"))
.significanceHeuristic(significanceHeuristicExpectingSeparateSets)))
.addAggregation(
(new FilterAggregationBuilder("1"))
.filter(QueryBuilders.termQuery(CLASS_FIELD, "1"))
.subAggregation(
new SignificantTermsBuilder("sig_terms")
.field(TEXT_FIELD)
.minDocCount(1)
.backgroundFilter(QueryBuilders.termQuery(CLASS_FIELD, "0"))
.significanceHeuristic(significanceHeuristicExpectingSeparateSets)))
.execute()
.actionGet();
SignificantTerms sigTerms0 =
((SignificantTerms)
(((StringTerms) response1.getAggregations().get("class"))
.getBucketByKey("0")
.getAggregations()
.asMap()
.get("sig_terms")));
assertThat(sigTerms0.getBuckets().size(), equalTo(2));
double score00Background = sigTerms0.getBucketByKey("0").getSignificanceScore();
double score01Background = sigTerms0.getBucketByKey("1").getSignificanceScore();
SignificantTerms sigTerms1 =
((SignificantTerms)
(((StringTerms) response1.getAggregations().get("class"))
.getBucketByKey("1")
.getAggregations()
.asMap()
.get("sig_terms")));
double score10Background = sigTerms1.getBucketByKey("0").getSignificanceScore();
double score11Background = sigTerms1.getBucketByKey("1").getSignificanceScore();
double score00SeparateSets =
((SignificantTerms)
((InternalFilter) response2.getAggregations().get("0"))
.getAggregations()
.getAsMap()
.get("sig_terms"))
.getBucketByKey("0")
.getSignificanceScore();
double score01SeparateSets =
((SignificantTerms)
((InternalFilter) response2.getAggregations().get("0"))
.getAggregations()
.getAsMap()
.get("sig_terms"))
.getBucketByKey("1")
.getSignificanceScore();
double score10SeparateSets =
((SignificantTerms)
((InternalFilter) response2.getAggregations().get("1"))
.getAggregations()
.getAsMap()
.get("sig_terms"))
.getBucketByKey("0")
.getSignificanceScore();
double score11SeparateSets =
((SignificantTerms)
((InternalFilter) response2.getAggregations().get("1"))
.getAggregations()
.getAsMap()
.get("sig_terms"))
.getBucketByKey("1")
.getSignificanceScore();
assertThat(score00Background, equalTo(score00SeparateSets));
assertThat(score01Background, equalTo(score01SeparateSets));
assertThat(score10Background, equalTo(score10SeparateSets));
assertThat(score11Background, equalTo(score11SeparateSets));
}
