public void testQueries() throws Exception {
single = single(random());
parallel = parallel(random());
queryTest(new TermQuery(new Term("f1", "v1")));
queryTest(new TermQuery(new Term("f1", "v2")));
queryTest(new TermQuery(new Term("f2", "v1")));
queryTest(new TermQuery(new Term("f2", "v2")));
queryTest(new TermQuery(new Term("f3", "v1")));
queryTest(new TermQuery(new Term("f3", "v2")));
queryTest(new TermQuery(new Term("f4", "v1")));
queryTest(new TermQuery(new Term("f4", "v2")));
BooleanQuery.Builder bq1 = new BooleanQuery.Builder();
bq1.add(new TermQuery(new Term("f1", "v1")), Occur.MUST);
bq1.add(new TermQuery(new Term("f4", "v1")), Occur.MUST);
queryTest(bq1.build());
single.getIndexReader().close();
single = null;
parallel.getIndexReader().close();
parallel = null;
dir.close();
dir = null;
dir1.close();
dir1 = null;
dir2.close();
dir2 = null;
}
/**
* Prepare the queries for this test. Extending classes can override this method for preparing
* different queries.
*
* @return prepared queries.
* @throws Exception if cannot prepare the queries.
*/
@Override
protected Query[] prepareQueries() throws Exception {
// analyzer (default is standard analyzer)
Analyzer anlzr =
NewAnalyzerTask.createAnalyzer(
config.get("analyzer", "org.apache.lucene.analysis.standard.StandardAnalyzer"));
QueryParser qp = new QueryParser(DocMaker.BODY_FIELD, anlzr);
ArrayList<Query> qq = new ArrayList<>();
Query q1 = new TermQuery(new Term(DocMaker.ID_FIELD, "doc2"));
qq.add(q1);
Query q2 = new TermQuery(new Term(DocMaker.BODY_FIELD, "simple"));
qq.add(q2);
BooleanQuery.Builder bq = new BooleanQuery.Builder();
bq.add(q1, Occur.MUST);
bq.add(q2, Occur.MUST);
qq.add(bq.build());
qq.add(qp.parse("synthetic body"));
qq.add(qp.parse("\"synthetic body\""));
qq.add(qp.parse("synthetic text"));
qq.add(qp.parse("\"synthetic text\""));
qq.add(qp.parse("\"synthetic text\"~3"));
qq.add(qp.parse("zoom*"));
qq.add(qp.parse("synth*"));
return qq.toArray(new Query[0]);
}
@Override
protected Query newFuzzyQuery(String text, int fuzziness) {
BooleanQuery.Builder bq = new BooleanQuery.Builder();
bq.setDisableCoord(true);
for (Map.Entry<String, Float> entry : weights.entrySet()) {
String field = entry.getKey();
FieldType type = schema.getFieldType(field);
Query fuzzy;
if (type instanceof TextField) {
// If the field type is a TextField then use the multi term analyzer.
Analyzer analyzer = ((TextField) type).getMultiTermAnalyzer();
String term = TextField.analyzeMultiTerm(field, text, analyzer).utf8ToString();
fuzzy = new FuzzyQuery(new Term(entry.getKey(), term), fuzziness);
} else {
// If the type is *not* a TextField don't do any analysis.
fuzzy = new FuzzyQuery(new Term(entry.getKey(), text), fuzziness);
}
float boost = entry.getValue();
if (boost != 1f) {
fuzzy = new BoostQuery(fuzzy, boost);
}
bq.add(fuzzy, BooleanClause.Occur.SHOULD);
}
return simplify(bq.build());
}
@Override
public Query createQuery(
FieldBoost boost,
float dmqTieBreakerMultiplier,
DocumentFrequencyAndTermContextProvider dftcp)
throws IOException {
BooleanQuery.Builder builder = new BooleanQuery.Builder();
builder.setDisableCoord(disableCoord);
for (Clause clause : clauses) {
builder.add(
clause.queryFactory.createQuery(boost, dmqTieBreakerMultiplier, dftcp), clause.occur);
}
Query bq = builder.build();
if (normalizeBoost) {
int size = getNumberOfClauses();
if (size > 0) {
bq = new BoostQuery(bq, 1f / (float) size);
}
}
return bq;
}
@Override
public ConstantScoreQuery makeQuery(SpatialArgs args) {
if (!SpatialOperation.is(
args.getOperation(), SpatialOperation.Intersects, SpatialOperation.IsWithin))
throw new UnsupportedSpatialOperation(args.getOperation());
Shape shape = args.getShape();
if (shape instanceof Rectangle) {
Rectangle bbox = (Rectangle) shape;
return new ConstantScoreQuery(makeWithin(bbox));
} else if (shape instanceof Circle) {
Circle circle = (Circle) shape;
Rectangle bbox = circle.getBoundingBox();
Query approxQuery = makeWithin(bbox);
BooleanQuery.Builder bqBuilder = new BooleanQuery.Builder();
FunctionRangeQuery vsRangeQuery =
new FunctionRangeQuery(
makeDistanceValueSource(circle.getCenter()), 0.0, circle.getRadius(), true, true);
bqBuilder.add(
approxQuery,
BooleanClause.Occur.FILTER); // should have lowest "cost" value; will drive iteration
bqBuilder.add(vsRangeQuery, BooleanClause.Occur.FILTER);
return new ConstantScoreQuery(bqBuilder.build());
} else {
throw new UnsupportedOperationException(
"Only Rectangles and Circles are currently supported, "
+ "found ["
+ shape.getClass()
+ "]"); // TODO
}
}
@Override
protected Query doToQuery(QueryShardContext context) throws IOException {
DocumentMapper childDocMapper = context.getMapperService().documentMapper(type);
if (childDocMapper == null) {
if (ignoreUnmapped) {
return new MatchNoDocsQuery();
} else {
throw new QueryShardException(
context, "[" + NAME + "] no mapping found for type [" + type + "]");
}
}
ParentFieldMapper parentFieldMapper = childDocMapper.parentFieldMapper();
if (parentFieldMapper.active() == false) {
throw new QueryShardException(
context, "[" + NAME + "] _parent field has no parent type configured");
}
String fieldName = ParentFieldMapper.joinField(parentFieldMapper.type());
BooleanQuery.Builder query = new BooleanQuery.Builder();
query.add(new DocValuesTermsQuery(fieldName, id), BooleanClause.Occur.MUST);
// Need to take child type into account, otherwise a child doc of different type with the same
// id could match
query.add(new TermQuery(new Term(TypeFieldMapper.NAME, type)), BooleanClause.Occur.FILTER);
return query.build();
}
// TODO: Move to QueryParserTestBase once standard flexible parser gets this capability
public void testMultiWordSynonyms() throws Exception {
QueryParser dumb = new QueryParser("field", new Analyzer1());
dumb.setSplitOnWhitespace(false);
// A multi-word synonym source will form a synonym query for the same-starting-position tokens
BooleanQuery.Builder multiWordExpandedBqBuilder = new BooleanQuery.Builder();
Query multiWordSynonymQuery =
new SynonymQuery(new Term("field", "guinea"), new Term("field", "cavy"));
multiWordExpandedBqBuilder.add(multiWordSynonymQuery, BooleanClause.Occur.SHOULD);
multiWordExpandedBqBuilder.add(
new TermQuery(new Term("field", "pig")), BooleanClause.Occur.SHOULD);
Query multiWordExpandedBq = multiWordExpandedBqBuilder.build();
assertEquals(multiWordExpandedBq, dumb.parse("guinea pig"));
// With the phrase operator, a multi-word synonym source will form a multiphrase query.
// When the number of expanded term(s) is different from that of the original term(s), this is
// not good.
MultiPhraseQuery.Builder multiWordExpandedMpqBuilder = new MultiPhraseQuery.Builder();
multiWordExpandedMpqBuilder.add(
new Term[] {new Term("field", "guinea"), new Term("field", "cavy")});
multiWordExpandedMpqBuilder.add(new Term("field", "pig"));
Query multiWordExpandedMPQ = multiWordExpandedMpqBuilder.build();
assertEquals(multiWordExpandedMPQ, dumb.parse("\"guinea pig\""));
// custom behavior, the synonyms are expanded, unless you use quote operator
QueryParser smart = new SmartQueryParser();
smart.setSplitOnWhitespace(false);
assertEquals(multiWordExpandedBq, smart.parse("guinea pig"));
PhraseQuery.Builder multiWordUnexpandedPqBuilder = new PhraseQuery.Builder();
multiWordUnexpandedPqBuilder.add(new Term("field", "guinea"));
multiWordUnexpandedPqBuilder.add(new Term("field", "pig"));
Query multiWordUnexpandedPq = multiWordUnexpandedPqBuilder.build();
assertEquals(multiWordUnexpandedPq, smart.parse("\"guinea pig\""));
}
public void testBoolean() {
BooleanQuery.Builder expected = new BooleanQuery.Builder();
expected.add(new TermQuery(new Term("field", "foo")), BooleanClause.Occur.SHOULD);
expected.add(new TermQuery(new Term("field", "bar")), BooleanClause.Occur.SHOULD);
QueryBuilder builder = new QueryBuilder(new MockAnalyzer(random()));
assertEquals(expected.build(), builder.createBooleanQuery("field", "foo bar"));
}
@Override
protected Query newPrefixQuery(String text) {
BooleanQuery.Builder bq = new BooleanQuery.Builder();
bq.setDisableCoord(true);
for (Map.Entry<String, Float> entry : weights.entrySet()) {
String field = entry.getKey();
FieldType type = schema.getFieldType(field);
Query prefix;
if (type instanceof TextField) {
// If the field type is a TextField then use the multi term analyzer.
Analyzer analyzer = ((TextField) type).getMultiTermAnalyzer();
String term = TextField.analyzeMultiTerm(field, text, analyzer).utf8ToString();
SchemaField sf = schema.getField(field);
prefix = sf.getType().getPrefixQuery(qParser, sf, term);
} else {
// If the type is *not* a TextField don't do any analysis.
SchemaField sf = schema.getField(field);
prefix = type.getPrefixQuery(qParser, sf, text);
}
float boost = entry.getValue();
if (boost != 1f) {
prefix = new BoostQuery(prefix, boost);
}
bq.add(prefix, BooleanClause.Occur.SHOULD);
}
return simplify(bq.build());
}
/** synonyms with default OR operator */
public void testCJKSynonymsOR() throws Exception {
BooleanQuery.Builder expected = new BooleanQuery.Builder();
expected.add(new TermQuery(new Term("field", "ä¸")), BooleanClause.Occur.SHOULD);
SynonymQuery inner = new SynonymQuery(new Term("field", "国"), new Term("field", "國"));
expected.add(inner, BooleanClause.Occur.SHOULD);
QueryBuilder builder = new QueryBuilder(new MockCJKSynonymAnalyzer());
assertEquals(expected.build(), builder.createBooleanQuery("field", "ä¸å›½"));
}
static Query getFieldMissingQuery(SolrIndexSearcher searcher, String fieldName)
throws IOException {
SchemaField sf = searcher.getSchema().getField(fieldName);
Query hasVal = sf.getType().getRangeQuery(null, sf, null, null, false, false);
BooleanQuery.Builder noVal = new BooleanQuery.Builder();
noVal.add(hasVal, BooleanClause.Occur.MUST_NOT);
return noVal.build();
}
/** synonyms with default OR operator */
public void testCJKSynonymsOR() throws Exception {
BooleanQuery.Builder expectedB = new BooleanQuery.Builder();
expectedB.add(new TermQuery(new Term("field", "ä¸")), BooleanClause.Occur.SHOULD);
Query inner = new SynonymQuery(new Term("field", "国"), new Term("field", "國"));
expectedB.add(inner, BooleanClause.Occur.SHOULD);
Query expected = expectedB.build();
QueryParser qp = new QueryParser("field", new MockCJKSynonymAnalyzer());
assertEquals(expected, qp.parse("ä¸å›½"));
expected = new BoostQuery(expected, 2f);
assertEquals(expected, qp.parse("ä¸å›½^2"));
}
public void testCJKTerm() throws Exception {
// individual CJK chars as terms
SimpleCJKAnalyzer analyzer = new SimpleCJKAnalyzer();
BooleanQuery.Builder expected = new BooleanQuery.Builder();
expected.add(new TermQuery(new Term("field", "ä¸")), BooleanClause.Occur.SHOULD);
expected.add(new TermQuery(new Term("field", "国")), BooleanClause.Occur.SHOULD);
QueryBuilder builder = new QueryBuilder(analyzer);
assertEquals(expected.build(), builder.createBooleanQuery("field", "ä¸å›½"));
}
/** synonyms with default AND operator */
public void testCJKSynonymsAND() throws Exception {
BooleanQuery.Builder expectedB = new BooleanQuery.Builder();
expectedB.add(new TermQuery(new Term(FIELD, "ä¸")), BooleanClause.Occur.MUST);
Query inner = new SynonymQuery(new Term(FIELD, "国"), new Term(FIELD, "國"));
expectedB.add(inner, BooleanClause.Occur.MUST);
Query expected = expectedB.build();
QueryParser qp = new QueryParser(FIELD, new MockCJKSynonymAnalyzer());
qp.setDefaultOperator(Operator.AND);
assertEquals(expected, qp.parse("ä¸å›½"));
expected = new BoostQuery(expected, 2f);
assertEquals(expected, qp.parse("ä¸å›½^2"));
}
@Override
public Query createQuery() {
final int size = fieldContexts.size();
if (size == 1) {
return queryCustomizer.setWrappedQuery(createQuery(fieldContexts.get(0))).createQuery();
} else {
BooleanQuery.Builder aggregatedFieldsQueryBuilder = new BooleanQuery.Builder();
for (FieldContext fieldContext : fieldContexts) {
aggregatedFieldsQueryBuilder.add(createQuery(fieldContext), BooleanClause.Occur.SHOULD);
}
BooleanQuery aggregatedFieldsQuery = aggregatedFieldsQueryBuilder.build();
return queryCustomizer.setWrappedQuery(aggregatedFieldsQuery).createQuery();
}
}
@Override
public Query searchFilter(String[] types) {
Query filter = mapperService().searchFilter(types);
if (filter == null && aliasFilter == null) {
return null;
}
BooleanQuery.Builder bq = new BooleanQuery.Builder();
if (filter != null) {
bq.add(filter, Occur.MUST);
}
if (aliasFilter != null) {
bq.add(aliasFilter, Occur.MUST);
}
return new ConstantScoreQuery(bq.build());
}
public void testDefaultSplitOnWhitespace() throws Exception {
QueryParser parser = new QueryParser("field", new Analyzer1());
assertFalse(parser.getSplitOnWhitespace()); // default is false
// A multi-word synonym source will form a synonym query for the same-starting-position tokens
BooleanQuery.Builder bqBuilder = new BooleanQuery.Builder();
bqBuilder.add(
new SynonymQuery(new Term("field", "guinea"), new Term("field", "cavy")),
BooleanClause.Occur.SHOULD);
bqBuilder.add(new TermQuery(new Term("field", "pig")), BooleanClause.Occur.SHOULD);
assertEquals(bqBuilder.build(), parser.parse("guinea pig"));
boolean oldSplitOnWhitespace = splitOnWhitespace;
splitOnWhitespace = QueryParser.DEFAULT_SPLIT_ON_WHITESPACE;
assertQueryEquals("guinea pig", new MockSynonymAnalyzer(), "Synonym(cavy guinea) pig");
splitOnWhitespace = oldSplitOnWhitespace;
}
@Override
public Query rewrite(IndexReader reader) throws IOException {
ScoreTermQueue q = new ScoreTermQueue(maxNumTerms);
// load up the list of possible terms
for (FieldVals f : fieldVals) {
addTerms(reader, f, q);
}
BooleanQuery.Builder bq = new BooleanQuery.Builder();
// create BooleanQueries to hold the variants for each token/field pair and ensure it
// has no coord factor
// Step 1: sort the termqueries by term/field
HashMap<Term, ArrayList<ScoreTerm>> variantQueries = new HashMap<>();
int size = q.size();
for (int i = 0; i < size; i++) {
ScoreTerm st = q.pop();
ArrayList<ScoreTerm> l = variantQueries.get(st.fuzziedSourceTerm);
if (l == null) {
l = new ArrayList<>();
variantQueries.put(st.fuzziedSourceTerm, l);
}
l.add(st);
}
// Step 2: Organize the sorted termqueries into zero-coord scoring boolean queries
for (Iterator<ArrayList<ScoreTerm>> iter = variantQueries.values().iterator();
iter.hasNext(); ) {
ArrayList<ScoreTerm> variants = iter.next();
if (variants.size() == 1) {
// optimize where only one selected variant
ScoreTerm st = variants.get(0);
Query tq = newTermQuery(reader, st.term);
// set the boost to a mix of IDF and score
bq.add(new BoostQuery(tq, st.score), BooleanClause.Occur.SHOULD);
} else {
BooleanQuery.Builder termVariants = new BooleanQuery.Builder();
termVariants.setDisableCoord(true); // disable coord and IDF for these term variants
for (Iterator<ScoreTerm> iterator2 = variants.iterator(); iterator2.hasNext(); ) {
ScoreTerm st = iterator2.next();
// found a match
Query tq = newTermQuery(reader, st.term);
// set the boost using the ScoreTerm's score
termVariants.add(
new BoostQuery(tq, st.score), BooleanClause.Occur.SHOULD); // add to query
}
bq.add(termVariants.build(), BooleanClause.Occur.SHOULD); // add to query
}
}
// TODO possible alternative step 3 - organize above booleans into a new layer of field-based
// booleans with a minimum-should-match of NumFields-1?
return bq.build();
}
@Override
public void performWork(LuceneWork work, IndexWriterDelegate delegate, IndexingMonitor monitor) {
final Serializable id = work.getId();
final String tenantId = work.getTenantId();
final Class<?> managedType = work.getEntityClass();
DocumentBuilderIndexedEntity builder = workspace.getDocumentBuilder(managedType);
try {
if (DeleteWorkExecutor.isIdNumeric(builder)) {
log.tracef(
"Deleting %s#%s by query using an IndexWriter#updateDocument as id is Numeric",
managedType, id);
Query exactMatchQuery =
NumericFieldUtils.createExactMatchQuery(builder.getIdKeywordName(), id);
BooleanQuery.Builder deleteDocumentsQueryBuilder = new BooleanQuery.Builder();
deleteDocumentsQueryBuilder.add(exactMatchQuery, Occur.FILTER);
if (tenantId != null) {
TermQuery tenantTermQuery =
new TermQuery(new Term(DocumentBuilderIndexedEntity.TENANT_ID_FIELDNAME, tenantId));
deleteDocumentsQueryBuilder.add(tenantTermQuery, Occur.FILTER);
}
delegate.deleteDocuments(deleteDocumentsQueryBuilder.build());
// no need to log the Add operation as we'll log in the delegate
this.addDelegate.performWork(work, delegate, monitor);
} else {
log.tracef("Updating %s#%s by id using an IndexWriter#updateDocument.", managedType, id);
Term idTerm = new Term(builder.getIdKeywordName(), work.getIdInString());
Map<String, String> fieldToAnalyzerMap = work.getFieldToAnalyzerMap();
ScopedAnalyzerReference analyzerReference = builder.getAnalyzerReference();
analyzerReference =
AddWorkExecutor.updateAnalyzerMappings(
workspace, analyzerReference, fieldToAnalyzerMap);
delegate.updateDocument(idTerm, work.getDocument(), analyzerReference);
}
workspace.notifyWorkApplied(work);
} catch (Exception e) {
String message = "Unable to update " + managedType + "#" + id + " in index.";
throw new SearchException(message, e);
}
if (monitor != null) {
monitor.documentsAdded(1l);
}
}
@Override
public Query regexpQuery(
String value,
int flags,
int maxDeterminizedStates,
@Nullable MultiTermQuery.RewriteMethod method,
@Nullable QueryParseContext context) {
if (indexOptions() != IndexOptions.NONE || context == null) {
return super.regexpQuery(value, flags, maxDeterminizedStates, method, context);
}
Collection<String> queryTypes = context.queryTypes();
if (queryTypes.size() == 1) {
RegexpQuery regexpQuery =
new RegexpQuery(
new Term(
UidFieldMapper.NAME,
Uid.createUidAsBytes(
Iterables.getFirst(queryTypes, null), BytesRefs.toBytesRef(value))),
flags,
maxDeterminizedStates);
if (method != null) {
regexpQuery.setRewriteMethod(method);
}
return regexpQuery;
}
BooleanQuery.Builder query = new BooleanQuery.Builder();
for (String queryType : queryTypes) {
RegexpQuery regexpQuery =
new RegexpQuery(
new Term(
UidFieldMapper.NAME,
Uid.createUidAsBytes(queryType, BytesRefs.toBytesRef(value))),
flags,
maxDeterminizedStates);
if (method != null) {
regexpQuery.setRewriteMethod(method);
}
query.add(regexpQuery, BooleanClause.Occur.SHOULD);
}
return query.build();
}
public Query combineGrouped(List<? extends Query> groupQuery) {
if (groupQuery == null || groupQuery.isEmpty()) {
return null;
}
if (groupQuery.size() == 1) {
return groupQuery.get(0);
}
if (groupDismax) {
List<Query> queries = new ArrayList<>();
for (Query query : groupQuery) {
queries.add(query);
}
return new DisjunctionMaxQuery(queries, tieBreaker);
} else {
final BooleanQuery.Builder booleanQuery = new BooleanQuery.Builder();
for (Query query : groupQuery) {
booleanQuery.add(query, BooleanClause.Occur.SHOULD);
}
return booleanQuery.build();
}
}
private void handleExclude(BooleanQuery.Builder boolQuery, MultiTermVectorsRequest likeItems) {
// artificial docs get assigned a random id and should be disregarded
List<BytesRef> uids = new ArrayList<>();
for (TermVectorsRequest item : likeItems) {
if (item.doc() != null) {
continue;
}
uids.add(createUidAsBytes(item.type(), item.id()));
}
if (!uids.isEmpty()) {
TermsQuery query = new TermsQuery(UidFieldMapper.NAME, uids.toArray(new BytesRef[0]));
boolQuery.add(query, BooleanClause.Occur.MUST_NOT);
}
}
@Override
public Query prefixQuery(
String value,
@Nullable MultiTermQuery.RewriteMethod method,
@Nullable QueryParseContext context) {
if (indexOptions() != IndexOptions.NONE || context == null) {
return super.prefixQuery(value, method, context);
}
Collection<String> queryTypes = context.queryTypes();
BooleanQuery.Builder query = new BooleanQuery.Builder();
for (String queryType : queryTypes) {
PrefixQuery prefixQuery =
new PrefixQuery(
new Term(
UidFieldMapper.NAME,
Uid.createUidAsBytes(queryType, BytesRefs.toBytesRef(value))));
if (method != null) {
prefixQuery.setRewriteMethod(method);
}
query.add(prefixQuery, BooleanClause.Occur.SHOULD);
}
return query.build();
}
/**
* Returns the filter associated with listed filtering aliases.
*
* <p>The list of filtering aliases should be obtained by calling MetaData.filteringAliases.
* Returns <tt>null</tt> if no filtering is required.
*/
public Query aliasFilter(QueryShardContext context, String... aliasNames) {
if (aliasNames == null || aliasNames.length == 0) {
return null;
}
final ImmutableOpenMap<String, AliasMetaData> aliases =
indexSettings.getIndexMetaData().getAliases();
if (aliasNames.length == 1) {
AliasMetaData alias = aliases.get(aliasNames[0]);
if (alias == null) {
// This shouldn't happen unless alias disappeared after filteringAliases was called.
throw new InvalidAliasNameException(
index(), aliasNames[0], "Unknown alias name was passed to alias Filter");
}
return parse(alias, context);
} else {
// we need to bench here a bit, to see maybe it makes sense to use OrFilter
BooleanQuery.Builder combined = new BooleanQuery.Builder();
for (String aliasName : aliasNames) {
AliasMetaData alias = aliases.get(aliasName);
if (alias == null) {
// This shouldn't happen unless alias disappeared after filteringAliases was called.
throw new InvalidAliasNameException(
indexSettings.getIndex(),
aliasNames[0],
"Unknown alias name was passed to alias Filter");
}
Query parsedFilter = parse(alias, context);
if (parsedFilter != null) {
combined.add(parsedFilter, BooleanClause.Occur.SHOULD);
} else {
// The filter might be null only if filter was removed after filteringAliases was called
return null;
}
}
return combined.build();
}
}
/** Create the More like query from a PriorityQueue */
private Query createQuery(PriorityQueue<ScoreTerm> q) {
BooleanQuery.Builder query = new BooleanQuery.Builder();
ScoreTerm scoreTerm;
float bestScore = -1;
while ((scoreTerm = q.pop()) != null) {
Query tq = new TermQuery(new Term(scoreTerm.topField, scoreTerm.word));
if (boost) {
if (bestScore == -1) {
bestScore = (scoreTerm.score);
}
float myScore = (scoreTerm.score);
tq = new BoostQuery(tq, boostFactor * myScore / bestScore);
}
try {
query.add(tq, BooleanClause.Occur.SHOULD);
} catch (BooleanQuery.TooManyClauses ignore) {
break;
}
}
return query.build();
}
/** Constructs a query to retrieve documents that fully contain the input envelope. */
private Query makeWithin(Rectangle bbox) {
BooleanQuery.Builder bq = new BooleanQuery.Builder();
BooleanClause.Occur MUST = BooleanClause.Occur.MUST;
if (bbox.getCrossesDateLine()) {
// use null as performance trick since no data will be beyond the world bounds
bq.add(rangeQuery(fieldNameX, null /*-180*/, bbox.getMaxX()), BooleanClause.Occur.SHOULD);
bq.add(rangeQuery(fieldNameX, bbox.getMinX(), null /*+180*/), BooleanClause.Occur.SHOULD);
bq.setMinimumNumberShouldMatch(1); // must match at least one of the SHOULD
} else {
bq.add(rangeQuery(fieldNameX, bbox.getMinX(), bbox.getMaxX()), MUST);
}
bq.add(rangeQuery(fieldNameY, bbox.getMinY(), bbox.getMaxY()), MUST);
return bq.build();
}
protected Query buildQuery(
final int maxDoc, final TermContext[] contextArray, final Term[] queryTerms) {
List<Query> lowFreqQueries = new ArrayList<>();
List<Query> highFreqQueries = new ArrayList<>();
for (int i = 0; i < queryTerms.length; i++) {
TermContext termContext = contextArray[i];
if (termContext == null) {
lowFreqQueries.add(newTermQuery(queryTerms[i], null));
} else {
if ((maxTermFrequency >= 1f && termContext.docFreq() > maxTermFrequency)
|| (termContext.docFreq() > (int) Math.ceil(maxTermFrequency * (float) maxDoc))) {
highFreqQueries.add(newTermQuery(queryTerms[i], termContext));
} else {
lowFreqQueries.add(newTermQuery(queryTerms[i], termContext));
}
}
}
final int numLowFreqClauses = lowFreqQueries.size();
final int numHighFreqClauses = highFreqQueries.size();
Occur lowFreqOccur = this.lowFreqOccur;
Occur highFreqOccur = this.highFreqOccur;
int lowFreqMinShouldMatch = 0;
int highFreqMinShouldMatch = 0;
if (lowFreqOccur == Occur.SHOULD && numLowFreqClauses > 0) {
lowFreqMinShouldMatch = calcLowFreqMinimumNumberShouldMatch(numLowFreqClauses);
}
if (highFreqOccur == Occur.SHOULD && numHighFreqClauses > 0) {
highFreqMinShouldMatch = calcHighFreqMinimumNumberShouldMatch(numHighFreqClauses);
}
if (lowFreqQueries.isEmpty()) {
/*
* if lowFreq is empty we rewrite the high freq terms in a conjunction to
* prevent slow queries.
*/
if (highFreqMinShouldMatch == 0 && highFreqOccur != Occur.MUST) {
highFreqOccur = Occur.MUST;
}
}
BooleanQuery.Builder builder = new BooleanQuery.Builder();
builder.setDisableCoord(true);
if (lowFreqQueries.isEmpty() == false) {
BooleanQuery.Builder lowFreq = new BooleanQuery.Builder();
lowFreq.setDisableCoord(disableCoord);
for (Query query : lowFreqQueries) {
lowFreq.add(query, lowFreqOccur);
}
lowFreq.setMinimumNumberShouldMatch(lowFreqMinShouldMatch);
Query lowFreqQuery = lowFreq.build();
builder.add(new BoostQuery(lowFreqQuery, lowFreqBoost), Occur.MUST);
}
if (highFreqQueries.isEmpty() == false) {
BooleanQuery.Builder highFreq = new BooleanQuery.Builder();
highFreq.setDisableCoord(disableCoord);
for (Query query : highFreqQueries) {
highFreq.add(query, highFreqOccur);
}
highFreq.setMinimumNumberShouldMatch(highFreqMinShouldMatch);
Query highFreqQuery = highFreq.build();
builder.add(new BoostQuery(highFreqQuery, highFreqBoost), Occur.SHOULD);
}
return builder.build();
}
/**
* Given a latitude and longitude (in degrees) and the maximum great circle (surface of the earth)
* distance, returns a simple Filter bounding box to "fast match" candidates.
*/
public static Query getBoundingBoxQuery(
double originLat, double originLng, double maxDistanceKM) {
// Basic bounding box geo math from
// http://JanMatuschek.de/LatitudeLongitudeBoundingCoordinates,
// licensed under creative commons 3.0:
// http://creativecommons.org/licenses/by/3.0
// TODO: maybe switch to recursive prefix tree instead
// (in lucene/spatial)? It should be more efficient
// since it's a 2D trie...
// Degrees -> Radians:
double originLatRadians = SloppyMath.toRadians(originLat);
double originLngRadians = SloppyMath.toRadians(originLng);
double angle = maxDistanceKM / EARTH_RADIUS_KM;
double minLat = originLatRadians - angle;
double maxLat = originLatRadians + angle;
double minLng;
double maxLng;
if (minLat > SloppyMath.toRadians(-90) && maxLat < SloppyMath.toRadians(90)) {
double delta = Math.asin(Math.sin(angle) / Math.cos(originLatRadians));
minLng = originLngRadians - delta;
if (minLng < SloppyMath.toRadians(-180)) {
minLng += 2 * Math.PI;
}
maxLng = originLngRadians + delta;
if (maxLng > SloppyMath.toRadians(180)) {
maxLng -= 2 * Math.PI;
}
} else {
// The query includes a pole!
minLat = Math.max(minLat, SloppyMath.toRadians(-90));
maxLat = Math.min(maxLat, SloppyMath.toRadians(90));
minLng = SloppyMath.toRadians(-180);
maxLng = SloppyMath.toRadians(180);
}
BooleanQuery.Builder f = new BooleanQuery.Builder();
// Add latitude range filter:
f.add(
DoublePoint.newRangeQuery(
"latitude", SloppyMath.toDegrees(minLat), SloppyMath.toDegrees(maxLat)),
BooleanClause.Occur.FILTER);
// Add longitude range filter:
if (minLng > maxLng) {
// The bounding box crosses the international date
// line:
BooleanQuery.Builder lonF = new BooleanQuery.Builder();
lonF.add(
DoublePoint.newRangeQuery(
"longitude", SloppyMath.toDegrees(minLng), Double.POSITIVE_INFINITY),
BooleanClause.Occur.SHOULD);
lonF.add(
DoublePoint.newRangeQuery(
"longitude", Double.NEGATIVE_INFINITY, SloppyMath.toDegrees(maxLng)),
BooleanClause.Occur.SHOULD);
f.add(lonF.build(), BooleanClause.Occur.MUST);
} else {
f.add(
DoublePoint.newRangeQuery(
"longitude", SloppyMath.toDegrees(minLng), SloppyMath.toDegrees(maxLng)),
BooleanClause.Occur.FILTER);
}
return f.build();
}
private void _run() throws IOException {
for (int i = 0; i < iters; i++) {
String color;
String sortField;
switch (random.nextInt(4)) {
case 0:
// TermQuery on yellow cabs
color = "y";
if (sparse) {
sortField = "yellow_pickup_longitude";
} else {
sortField = "pickup_longitude";
}
break;
case 1:
// TermQuery on green cabs
color = "g";
if (sparse) {
sortField = "green_pickup_longitude";
} else {
sortField = "pickup_longitude";
}
break;
case 2:
// BooleanQuery on both cabs (all docs)
color = "both";
sortField = null;
break;
case 3:
// Point range query
color = "neither";
sortField = null;
break;
default:
throw new AssertionError();
}
Query query;
if (color.equals("both")) {
BooleanQuery.Builder builder = new BooleanQuery.Builder();
builder.add(new TermQuery(new Term("cab_color", "y")), BooleanClause.Occur.SHOULD);
builder.add(new TermQuery(new Term("cab_color", "g")), BooleanClause.Occur.SHOULD);
query = builder.build();
} else if (color.equals("neither")) {
if (sparse) {
BooleanQuery.Builder builder = new BooleanQuery.Builder();
builder.add(
DoublePoint.newRangeQuery("green_pickup_latitude", 40.75, 40.9),
BooleanClause.Occur.SHOULD);
builder.add(
DoublePoint.newRangeQuery("yellow_pickup_latitude", 40.75, 40.9),
BooleanClause.Occur.SHOULD);
query = builder.build();
} else {
query = DoublePoint.newRangeQuery("pickup_latitude", 40.75, 40.9);
}
} else {
query = new TermQuery(new Term("cab_color", color));
}
Sort sort;
if (sortField != null && random.nextBoolean()) {
sort = new Sort(new SortField(sortField, SortField.Type.DOUBLE));
} else {
sort = null;
}
long t0 = System.nanoTime();
TopDocs hits;
if (sort == null) {
hits = searcher.search(query, 10);
} else {
hits = searcher.search(query, 10, sort);
}
long t1 = System.nanoTime();
results.add(
"T"
+ threadID
+ " "
+ query
+ " sort="
+ sort
+ ": "
+ hits.totalHits
+ " hits in "
+ ((t1 - t0) / 1000000.)
+ " msec");
for (ScoreDoc hit : hits.scoreDocs) {
Document doc = searcher.doc(hit.doc);
results.add(" " + hit.doc + " " + hit.score + ": " + doc.getFields().size() + " fields");
}
/*
synchronized(printLock) {
System.out.println("T" + threadID + " " + query + " sort=" + sort + ": " + hits.totalHits + " hits in " + ((t1-t0)/1000000.) + " msec");
for(ScoreDoc hit : hits.scoreDocs) {
Document doc = searcher.doc(hit.doc);
System.out.println(" " + hit.doc + " " + hit.score + ": " + doc.getFields().size() + " fields");
}
}
*/
}
}
public void testResetRootDocId() throws Exception {
Directory directory = newDirectory();
IndexWriterConfig iwc = new IndexWriterConfig(null);
iwc.setMergePolicy(NoMergePolicy.INSTANCE);
RandomIndexWriter indexWriter = new RandomIndexWriter(random(), directory, iwc);
List<Document> documents = new ArrayList<>();
// 1 segment with, 1 root document, with 3 nested sub docs
Document document = new Document();
document.add(
new Field(UidFieldMapper.NAME, "type#1", UidFieldMapper.Defaults.NESTED_FIELD_TYPE));
document.add(
new Field(TypeFieldMapper.NAME, "__nested_field", TypeFieldMapper.Defaults.FIELD_TYPE));
documents.add(document);
document = new Document();
document.add(
new Field(UidFieldMapper.NAME, "type#1", UidFieldMapper.Defaults.NESTED_FIELD_TYPE));
document.add(
new Field(TypeFieldMapper.NAME, "__nested_field", TypeFieldMapper.Defaults.FIELD_TYPE));
documents.add(document);
document = new Document();
document.add(
new Field(UidFieldMapper.NAME, "type#1", UidFieldMapper.Defaults.NESTED_FIELD_TYPE));
document.add(
new Field(TypeFieldMapper.NAME, "__nested_field", TypeFieldMapper.Defaults.FIELD_TYPE));
documents.add(document);
document = new Document();
document.add(new Field(UidFieldMapper.NAME, "type#1", UidFieldMapper.Defaults.FIELD_TYPE));
document.add(new Field(TypeFieldMapper.NAME, "test", TypeFieldMapper.Defaults.FIELD_TYPE));
documents.add(document);
indexWriter.addDocuments(documents);
indexWriter.commit();
documents.clear();
// 1 segment with:
// 1 document, with 1 nested subdoc
document = new Document();
document.add(
new Field(UidFieldMapper.NAME, "type#2", UidFieldMapper.Defaults.NESTED_FIELD_TYPE));
document.add(
new Field(TypeFieldMapper.NAME, "__nested_field", TypeFieldMapper.Defaults.FIELD_TYPE));
documents.add(document);
document = new Document();
document.add(new Field(UidFieldMapper.NAME, "type#2", UidFieldMapper.Defaults.FIELD_TYPE));
document.add(new Field(TypeFieldMapper.NAME, "test", TypeFieldMapper.Defaults.FIELD_TYPE));
documents.add(document);
indexWriter.addDocuments(documents);
documents.clear();
// and 1 document, with 1 nested subdoc
document = new Document();
document.add(
new Field(UidFieldMapper.NAME, "type#3", UidFieldMapper.Defaults.NESTED_FIELD_TYPE));
document.add(
new Field(TypeFieldMapper.NAME, "__nested_field", TypeFieldMapper.Defaults.FIELD_TYPE));
documents.add(document);
document = new Document();
document.add(new Field(UidFieldMapper.NAME, "type#3", UidFieldMapper.Defaults.FIELD_TYPE));
document.add(new Field(TypeFieldMapper.NAME, "test", TypeFieldMapper.Defaults.FIELD_TYPE));
documents.add(document);
indexWriter.addDocuments(documents);
indexWriter.commit();
indexWriter.close();
IndexService indexService = createIndex("test");
DirectoryReader directoryReader = DirectoryReader.open(directory);
directoryReader =
ElasticsearchDirectoryReader.wrap(directoryReader, new ShardId(indexService.index(), 0));
IndexSearcher searcher = new IndexSearcher(directoryReader);
indexService
.mapperService()
.merge(
"test",
new CompressedXContent(
PutMappingRequest.buildFromSimplifiedDef("test", "nested_field", "type=nested")
.string()),
MapperService.MergeReason.MAPPING_UPDATE,
false);
SearchContext searchContext = createSearchContext(indexService);
AggregationContext context = new AggregationContext(searchContext);
AggregatorFactories.Builder builder = AggregatorFactories.builder();
NestedAggregatorBuilder factory = new NestedAggregatorBuilder("test", "nested_field");
builder.addAggregator(factory);
AggregatorFactories factories = builder.build(context, null);
searchContext.aggregations(new SearchContextAggregations(factories));
Aggregator[] aggs = factories.createTopLevelAggregators();
BucketCollector collector = BucketCollector.wrap(Arrays.asList(aggs));
collector.preCollection();
// A regular search always exclude nested docs, so we use NonNestedDocsFilter.INSTANCE here
// (otherwise MatchAllDocsQuery would be sufficient)
// We exclude root doc with uid type#2, this will trigger the bug if we don't reset the root doc
// when we process a new segment, because
// root doc type#3 and root doc type#1 have the same segment docid
BooleanQuery.Builder bq = new BooleanQuery.Builder();
bq.add(Queries.newNonNestedFilter(), Occur.MUST);
bq.add(new TermQuery(new Term(UidFieldMapper.NAME, "type#2")), Occur.MUST_NOT);
searcher.search(new ConstantScoreQuery(bq.build()), collector);
collector.postCollection();
Nested nested = (Nested) aggs[0].buildAggregation(0);
// The bug manifests if 6 docs are returned, because currentRootDoc isn't reset the previous
// child docs from the first segment are emitted as hits.
assertThat(nested.getDocCount(), equalTo(4L));
directoryReader.close();
directory.close();
}