protected void setSearchContext(String[] types) {
final MapperService mapperService = queryParserService().mapperService;
final IndexFieldDataService fieldData = queryParserService().fieldDataService;
TestSearchContext testSearchContext =
new TestSearchContext() {
private InnerHitsContext context;
@Override
public void innerHits(InnerHitsContext innerHitsContext) {
context = innerHitsContext;
}
@Override
public InnerHitsContext innerHits() {
return context;
}
@Override
public MapperService mapperService() {
return mapperService; // need to build / parse inner hits sort fields
}
@Override
public IndexFieldDataService fieldData() {
return fieldData; // need to build / parse inner hits sort fields
}
};
testSearchContext.setTypes(types);
SearchContext.setCurrent(testSearchContext);
}
/**
* Assert that the {@code scoreType} operates as expected and parents are found in the expected
* order.
*
* <p>This will use the test index's parent/child types to create parents with multiple children.
* Each child will have a randomly generated scored stored in {@link #CHILD_SCORE_NAME}, which is
* used to score based on the {@code scoreType} by using a {@link MockScorer} to determine the
* expected scores.
*
* @param scoreType The score type to use within the query to score parents relative to their
* children.
* @throws IOException if any unexpected error occurs
*/
private void assertScoreType(ScoreType scoreType) throws IOException {
SearchContext context = SearchContext.current();
Directory directory = newDirectory();
IndexWriter writer =
new IndexWriter(directory, newIndexWriterConfig(new MockAnalyzer(random())));
// calculates the expected score per parent
MockScorer scorer = new MockScorer(scoreType);
scorer.scores = new FloatArrayList(10);
// number of parents to generate
int parentDocs = scaledRandomIntBetween(2, 10);
// unique child ID
int childDocId = 0;
// Parent ID to expected score
Map<String, Float> parentScores = new TreeMap<>();
// Add a few random parents to ensure that the children's score is appropriately taken into
// account
for (int parentDocId = 0; parentDocId < parentDocs; ++parentDocId) {
String parent = Integer.toString(parentDocId);
// Create the parent
Document parentDocument = new Document();
parentDocument.add(
new StringField(UidFieldMapper.NAME, Uid.createUid("parent", parent), Field.Store.YES));
parentDocument.add(new StringField(IdFieldMapper.NAME, parent, Field.Store.YES));
parentDocument.add(new StringField(TypeFieldMapper.NAME, "parent", Field.Store.NO));
// add the parent to the index
writer.addDocument(parentDocument);
int numChildDocs = scaledRandomIntBetween(1, 10);
// forget any parent's previous scores
scorer.scores.clear();
// associate children with the parent
for (int i = 0; i < numChildDocs; ++i) {
int childScore = random().nextInt(128);
Document childDocument = new Document();
childDocument.add(
new StringField(
UidFieldMapper.NAME,
Uid.createUid("child", Integer.toString(childDocId++)),
Field.Store.NO));
childDocument.add(new StringField(TypeFieldMapper.NAME, "child", Field.Store.NO));
// parent association:
childDocument.add(
new StringField(
ParentFieldMapper.NAME, Uid.createUid("parent", parent), Field.Store.NO));
childDocument.add(new DoubleField(CHILD_SCORE_NAME, childScore, Field.Store.NO));
// remember the score to be calculated
scorer.scores.add(childScore);
// add the associated child to the index
writer.addDocument(childDocument);
}
// this score that should be returned for this parent
parentScores.put(parent, scorer.score());
}
writer.commit();
IndexReader reader = DirectoryReader.open(writer, true);
IndexSearcher searcher = new IndexSearcher(reader);
// setup to read the parent/child map
Engine.Searcher engineSearcher =
new Engine.Searcher(ChildrenQueryTests.class.getSimpleName(), searcher);
((TestSearchContext) context).setSearcher(new ContextIndexSearcher(context, engineSearcher));
// child query that returns the score as the value of "childScore" for each child document, with
// the parent's score determined by the score type
QueryBuilder childQueryBuilder =
functionScoreQuery(typeFilter("child"))
.add(new FieldValueFactorFunctionBuilder(CHILD_SCORE_NAME));
QueryBuilder queryBuilder =
hasChildQuery("child", childQueryBuilder)
.scoreType(scoreType.name().toLowerCase(Locale.ENGLISH))
.setShortCircuitCutoff(parentDocs);
// Perform the search for the documents using the selected score type
TopDocs docs = searcher.search(parseQuery(queryBuilder), parentDocs);
assertThat("Expected all parents", docs.totalHits, is(parentDocs));
// score should be descending (just a sanity check)
float topScore = docs.scoreDocs[0].score;
// ensure each score is returned as expected
for (int i = 0; i < parentDocs; ++i) {
ScoreDoc scoreDoc = docs.scoreDocs[i];
// get the ID from the document to get its expected score; remove it so we cannot double-count
// it
float score = parentScores.remove(reader.document(scoreDoc.doc).get(IdFieldMapper.NAME));
// expect exact match
assertThat("Unexpected score", scoreDoc.score, is(score));
assertThat("Not descending", score, lessThanOrEqualTo(topScore));
// it had better keep descending
topScore = score;
}
reader.close();
writer.close();
directory.close();
}
