mirror of https://github.com/apache/lucene.git
LUCENE-4728: Unknown and not explicitly mapped queries are now rewritten against the highlighting IndexReader to obtain primitive queries before discarding the query entirely.
git-svn-id: https://svn.apache.org/repos/asf/lucene/dev/trunk@1442590 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
parent
d0428c106f
commit
81c7ba4601
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@ -61,6 +61,11 @@
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<artifactId>lucene-memory</artifactId>
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<version>${project.version}</version>
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</dependency>
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<dependency>
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<groupId>${project.groupId}</groupId>
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<artifactId>lucene-queries</artifactId>
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<version>${project.version}</version>
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</dependency>
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</dependencies>
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<build>
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<sourceDirectory>${module-path}/src/java</sourceDirectory>
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@ -94,6 +94,12 @@ New Features
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* LUCENE-4723: Add AnalyzerFactoryTask to benchmark, and enable analyzer
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creation via the resulting factories using NewAnalyzerTask. (Steve Rowe)
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* LUCENE-4728: Unknown and not explicitly mapped queries are now rewritten
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against the highlighting IndexReader to obtain primitive queries before
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discarding the query entirely. WeightedSpanTermExtractor now builds a
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MemoryIndex only once even if multiple fields are highlighted.
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(Simon Willnauer)
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API Changes
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* LUCENE-4709: FacetResultNode no longer has a residue field. (Shai Erera)
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@ -27,6 +27,7 @@
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<path id="classpath">
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<pathelement path="${memory.jar}"/>
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<pathelement path="${queries.jar}"/>
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<path refid="base.classpath"/>
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</path>
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@ -187,11 +187,9 @@ public class Highlighter
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ArrayList<TextFragment> docFrags = new ArrayList<TextFragment>();
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StringBuilder newText=new StringBuilder();
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CharTermAttribute termAtt = tokenStream.addAttribute(CharTermAttribute.class);
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OffsetAttribute offsetAtt = tokenStream.addAttribute(OffsetAttribute.class);
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tokenStream.addAttribute(PositionIncrementAttribute.class);
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tokenStream.reset();
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CharTermAttribute termAtt = tokenStream.addAttribute(CharTermAttribute.class);
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OffsetAttribute offsetAtt = tokenStream.addAttribute(OffsetAttribute.class);
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tokenStream.reset();
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TextFragment currentFrag = new TextFragment(newText,newText.length(), docFrags.size());
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if (fragmentScorer instanceof QueryScorer) {
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@ -18,7 +18,7 @@ package org.apache.lucene.search.highlight;
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*/
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import java.io.IOException;
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import java.util.ArrayList;
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import java.util.Collection;
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import java.util.Collections;
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import java.util.HashMap;
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import java.util.HashSet;
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import java.util.Iterator;
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@ -29,11 +29,18 @@ import java.util.TreeSet;
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import org.apache.lucene.analysis.CachingTokenFilter;
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import org.apache.lucene.analysis.TokenStream;
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import org.apache.lucene.index.AtomicReader;
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import org.apache.lucene.index.AtomicReaderContext;
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import org.apache.lucene.index.DocValues;
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import org.apache.lucene.index.FieldInfos;
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import org.apache.lucene.index.Fields;
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import org.apache.lucene.index.FilterAtomicReader;
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import org.apache.lucene.index.IndexReader;
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import org.apache.lucene.index.Term;
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import org.apache.lucene.index.TermContext;
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import org.apache.lucene.index.Terms;
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import org.apache.lucene.index.memory.MemoryIndex;
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import org.apache.lucene.queries.CommonTermsQuery;
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import org.apache.lucene.search.*;
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import org.apache.lucene.search.spans.FieldMaskingSpanQuery;
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import org.apache.lucene.search.spans.SpanFirstQuery;
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@ -44,6 +51,8 @@ import org.apache.lucene.search.spans.SpanQuery;
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import org.apache.lucene.search.spans.SpanTermQuery;
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import org.apache.lucene.search.spans.Spans;
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import org.apache.lucene.util.Bits;
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import org.apache.lucene.util.IOUtils;
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/**
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* Class used to extract {@link WeightedSpanTerm}s from a {@link Query} based on whether
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@ -53,12 +62,13 @@ public class WeightedSpanTermExtractor {
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private String fieldName;
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private TokenStream tokenStream;
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private Map<String,AtomicReaderContext> readers = new HashMap<String,AtomicReaderContext>(10);
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private String defaultField;
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private boolean expandMultiTermQuery;
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private boolean cachedTokenStream;
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private boolean wrapToCaching = true;
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private int maxDocCharsToAnalyze;
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private AtomicReader reader = null;
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public WeightedSpanTermExtractor() {
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}
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@ -69,18 +79,6 @@ public class WeightedSpanTermExtractor {
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}
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}
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private void closeReaders() {
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Collection<AtomicReaderContext> ctxSet = readers.values();
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for (final AtomicReaderContext ctx : ctxSet) {
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try {
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ctx.reader().close();
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} catch (IOException e) {
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// alert?
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}
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}
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}
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/**
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* Fills a <code>Map</code> with <@link WeightedSpanTerm>s using the terms from the supplied <code>Query</code>.
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*
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@ -146,21 +144,14 @@ public class WeightedSpanTermExtractor {
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if (q != null) {
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extract(q, terms);
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}
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} else if (query instanceof CommonTermsQuery) {
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// specialized since rewriting would change the result query
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// this query is TermContext sensitive.
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extractWeightedTerms(terms, query);
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} else if (query instanceof DisjunctionMaxQuery) {
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for (Iterator<Query> iterator = ((DisjunctionMaxQuery) query).iterator(); iterator.hasNext();) {
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extract(iterator.next(), terms);
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}
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} else if (query instanceof MultiTermQuery && expandMultiTermQuery) {
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MultiTermQuery mtq = ((MultiTermQuery)query);
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if(mtq.getRewriteMethod() != MultiTermQuery.SCORING_BOOLEAN_QUERY_REWRITE) {
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mtq = (MultiTermQuery) mtq.clone();
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mtq.setRewriteMethod(MultiTermQuery.SCORING_BOOLEAN_QUERY_REWRITE);
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query = mtq;
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}
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if (mtq.getField() != null) {
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IndexReader ir = getLeafContextForField(mtq.getField()).reader();
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extract(query.rewrite(ir), terms);
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}
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} else if (query instanceof MultiPhraseQuery) {
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final MultiPhraseQuery mpq = (MultiPhraseQuery) query;
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final List<Term[]> termArrays = mpq.getTermArrays();
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@ -210,12 +201,30 @@ public class WeightedSpanTermExtractor {
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sp.setBoost(query.getBoost());
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extractWeightedSpanTerms(terms, sp);
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}
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} else {
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Query origQuery = query;
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if (query instanceof MultiTermQuery) {
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if (!expandMultiTermQuery) {
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return;
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}
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MultiTermQuery copy = (MultiTermQuery) query.clone();
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copy.setRewriteMethod(MultiTermQuery.SCORING_BOOLEAN_QUERY_REWRITE);
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origQuery = copy;
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}
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final IndexReader reader = getLeafContext().reader();
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Query rewritten = origQuery.rewrite(reader);
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if (rewritten != origQuery) {
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// only rewrite once and then flatten again - the rewritten query could have a speacial treatment
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// if this method is overwritten in a subclass or above in the next recursion
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extract(rewritten, terms);
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}
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}
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extractUnknownQuery(query, terms);
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}
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protected void extractUnknownQuery(Query query,
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Map<String, WeightedSpanTerm> terms) throws IOException {
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// for sub-classing to extract custom queries
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}
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@ -249,7 +258,7 @@ public class WeightedSpanTermExtractor {
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final boolean mustRewriteQuery = mustRewriteQuery(spanQuery);
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if (mustRewriteQuery) {
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for (final String field : fieldNames) {
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final SpanQuery rewrittenQuery = (SpanQuery) spanQuery.rewrite(getLeafContextForField(field).reader());
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final SpanQuery rewrittenQuery = (SpanQuery) spanQuery.rewrite(getLeafContext().reader());
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queries.put(field, rewrittenQuery);
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rewrittenQuery.extractTerms(nonWeightedTerms);
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}
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@ -266,7 +275,7 @@ public class WeightedSpanTermExtractor {
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} else {
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q = spanQuery;
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}
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AtomicReaderContext context = getLeafContextForField(field);
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AtomicReaderContext context = getLeafContext();
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Map<Term,TermContext> termContexts = new HashMap<Term,TermContext>();
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TreeSet<Term> extractedTerms = new TreeSet<Term>();
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q.extractTerms(extractedTerms);
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@ -338,23 +347,69 @@ public class WeightedSpanTermExtractor {
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return rv;
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}
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protected AtomicReaderContext getLeafContextForField(String field) throws IOException {
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if(wrapToCaching && !cachedTokenStream && !(tokenStream instanceof CachingTokenFilter)) {
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tokenStream = new CachingTokenFilter(new OffsetLimitTokenFilter(tokenStream, maxDocCharsToAnalyze));
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cachedTokenStream = true;
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}
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AtomicReaderContext context = readers.get(field);
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if (context == null) {
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MemoryIndex indexer = new MemoryIndex();
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indexer.addField(field, new OffsetLimitTokenFilter(tokenStream, maxDocCharsToAnalyze));
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protected AtomicReaderContext getLeafContext() throws IOException {
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if (reader == null) {
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if(wrapToCaching && !(tokenStream instanceof CachingTokenFilter)) {
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assert !cachedTokenStream;
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tokenStream = new CachingTokenFilter(new OffsetLimitTokenFilter(tokenStream, maxDocCharsToAnalyze));
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cachedTokenStream = true;
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}
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final MemoryIndex indexer = new MemoryIndex(true);
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indexer.addField(DelegatingAtomicReader.FIELD_NAME, tokenStream);
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tokenStream.reset();
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IndexSearcher searcher = indexer.createSearcher();
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final IndexSearcher searcher = indexer.createSearcher();
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// MEM index has only atomic ctx
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context = (AtomicReaderContext) searcher.getTopReaderContext();
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readers.put(field, context);
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reader = new DelegatingAtomicReader(((AtomicReaderContext)searcher.getTopReaderContext()).reader());
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}
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return reader.getContext();
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}
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/*
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* This reader will just delegate every call to a single field in the wrapped
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* AtomicReader. This way we only need to build this field once rather than
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* N-Times
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*/
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static final class DelegatingAtomicReader extends FilterAtomicReader {
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private static final String FIELD_NAME = "shadowed_field";
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DelegatingAtomicReader(AtomicReader in) {
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super(in);
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}
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@Override
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public FieldInfos getFieldInfos() {
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throw new UnsupportedOperationException();
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}
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return context;
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@Override
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public Fields fields() throws IOException {
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return new FilterFields(super.fields()) {
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@Override
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public Terms terms(String field) throws IOException {
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return super.terms(DelegatingAtomicReader.FIELD_NAME);
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}
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@Override
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public Iterator<String> iterator() {
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return Collections.singletonList(DelegatingAtomicReader.FIELD_NAME).iterator();
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}
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@Override
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public int size() {
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return 1;
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}
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};
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}
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@Override
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public DocValues docValues(String field) throws IOException {
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return super.docValues(FIELD_NAME);
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}
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@Override
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public DocValues normValues(String field) throws IOException {
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return super.normValues(FIELD_NAME);
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}
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}
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/**
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@ -401,7 +456,7 @@ public class WeightedSpanTermExtractor {
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try {
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extract(query, terms);
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} finally {
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closeReaders();
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IOUtils.close(reader);
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}
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return terms;
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@ -449,8 +504,7 @@ public class WeightedSpanTermExtractor {
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weightedSpanTerm.weight *= idf;
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}
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} finally {
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closeReaders();
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IOUtils.close(reader);
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}
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return terms;
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@ -28,9 +28,12 @@ import java.util.Set;
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import org.apache.lucene.index.IndexReader;
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import org.apache.lucene.index.Term;
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import org.apache.lucene.queries.CommonTermsQuery;
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import org.apache.lucene.search.BooleanClause;
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import org.apache.lucene.search.BooleanQuery;
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import org.apache.lucene.search.ConstantScoreQuery;
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import org.apache.lucene.search.DisjunctionMaxQuery;
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import org.apache.lucene.search.FilteredQuery;
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import org.apache.lucene.search.MultiTermQuery;
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import org.apache.lucene.search.PhraseQuery;
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import org.apache.lucene.search.Query;
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@ -92,8 +95,7 @@ public class FieldQuery {
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if( !clause.isProhibited() )
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flatten( clause.getQuery(), reader, flatQueries );
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}
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}
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else if( sourceQuery instanceof DisjunctionMaxQuery ){
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} else if( sourceQuery instanceof DisjunctionMaxQuery ){
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DisjunctionMaxQuery dmq = (DisjunctionMaxQuery)sourceQuery;
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for( Query query : dmq ){
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flatten( query, reader, flatQueries );
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@ -103,12 +105,6 @@ public class FieldQuery {
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if( !flatQueries.contains( sourceQuery ) )
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flatQueries.add( sourceQuery );
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}
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else if (sourceQuery instanceof MultiTermQuery && reader != null) {
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MultiTermQuery copy = (MultiTermQuery) sourceQuery.clone();
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copy.setRewriteMethod(new MultiTermQuery.TopTermsScoringBooleanQueryRewrite(MAX_MTQ_TERMS));
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BooleanQuery mtqTerms = (BooleanQuery) copy.rewrite(reader);
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flatten(mtqTerms, reader, flatQueries);
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}
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else if( sourceQuery instanceof PhraseQuery ){
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if( !flatQueries.contains( sourceQuery ) ){
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PhraseQuery pq = (PhraseQuery)sourceQuery;
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@ -118,6 +114,31 @@ public class FieldQuery {
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flatQueries.add( new TermQuery( pq.getTerms()[0] ) );
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}
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}
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} else if (sourceQuery instanceof ConstantScoreQuery) {
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final Query q = ((ConstantScoreQuery) sourceQuery).getQuery();
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if (q != null) {
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flatten(q, reader, flatQueries);
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}
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} else if (sourceQuery instanceof FilteredQuery) {
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final Query q = ((FilteredQuery) sourceQuery).getQuery();
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if (q != null) {
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flatten(q, reader, flatQueries);
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}
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} else if (reader != null){
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Query query = sourceQuery;
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if (sourceQuery instanceof MultiTermQuery) {
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MultiTermQuery copy = (MultiTermQuery) sourceQuery.clone();
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copy.setRewriteMethod(new MultiTermQuery.TopTermsScoringBooleanQueryRewrite(MAX_MTQ_TERMS));
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query = copy;
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}
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Query rewritten = query.rewrite(reader);
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if (rewritten != query) {
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// only rewrite once and then flatten again - the rewritten query could have a speacial treatment
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// if this method is overwritten in a subclass.
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flatten(rewritten, reader, flatQueries);
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}
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// if the query is already rewritten we discard it
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}
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// else discard queries
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}
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@ -46,6 +46,7 @@ import org.apache.lucene.index.StoredDocument;
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import org.apache.lucene.index.IndexWriterConfig.OpenMode;
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import org.apache.lucene.index.IndexWriterConfig;
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import org.apache.lucene.index.Term;
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import org.apache.lucene.queries.CommonTermsQuery;
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import org.apache.lucene.search.*;
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import org.apache.lucene.search.BooleanClause.Occur;
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import org.apache.lucene.search.highlight.SynonymTokenizer.TestHighlightRunner;
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@ -114,6 +115,87 @@ public class HighlighterTest extends BaseTokenStreamTestCase implements Formatte
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}
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}
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public void testHighlightingCommonTermsQuery() throws Exception {
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Analyzer analyzer = new MockAnalyzer(random(), MockTokenizer.SIMPLE, true);
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CommonTermsQuery query = new CommonTermsQuery(Occur.MUST, Occur.SHOULD, 3);
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query.add(new Term(FIELD_NAME, "this"));
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query.add(new Term(FIELD_NAME, "long"));
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query.add(new Term(FIELD_NAME, "very"));
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searcher = new IndexSearcher(reader);
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TopDocs hits = searcher.search(query, 10);
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assertEquals(2, hits.totalHits);
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QueryScorer scorer = new QueryScorer(query, FIELD_NAME);
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Highlighter highlighter = new Highlighter(scorer);
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StoredDocument doc = searcher.doc(hits.scoreDocs[0].doc);
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String storedField = doc.get(FIELD_NAME);
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TokenStream stream = TokenSources.getAnyTokenStream(searcher
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.getIndexReader(), hits.scoreDocs[0].doc, FIELD_NAME, doc, analyzer);
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Fragmenter fragmenter = new SimpleSpanFragmenter(scorer);
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highlighter.setTextFragmenter(fragmenter);
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String fragment = highlighter.getBestFragment(stream, storedField);
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assertEquals("Hello <B>this</B> is a piece of text that is <B>very</B> <B>long</B> and contains too much preamble and the meat is really here which says kennedy has been shot", fragment);
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doc = searcher.doc(hits.scoreDocs[1].doc);
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storedField = doc.get(FIELD_NAME);
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stream = TokenSources.getAnyTokenStream(searcher
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.getIndexReader(), hits.scoreDocs[1].doc, FIELD_NAME, doc, analyzer);
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highlighter.setTextFragmenter(new SimpleSpanFragmenter(scorer));
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fragment = highlighter.getBestFragment(stream, storedField);
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assertEquals("<B>This</B> piece of text refers to Kennedy at the beginning then has a longer piece of text that is <B>very</B>", fragment);
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}
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public void testHighlightUnknowQueryAfterRewrite() throws IOException, InvalidTokenOffsetsException {
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Query query = new Query() {
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@Override
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public Query rewrite(IndexReader reader) throws IOException {
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CommonTermsQuery query = new CommonTermsQuery(Occur.MUST, Occur.SHOULD, 3);
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query.add(new Term(FIELD_NAME, "this"));
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query.add(new Term(FIELD_NAME, "long"));
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query.add(new Term(FIELD_NAME, "very"));
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return query;
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}
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@Override
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public String toString(String field) {
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return null;
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}
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};
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Analyzer analyzer = new MockAnalyzer(random(), MockTokenizer.SIMPLE, true);
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searcher = new IndexSearcher(reader);
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TopDocs hits = searcher.search(query, 10);
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assertEquals(2, hits.totalHits);
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QueryScorer scorer = new QueryScorer(query, FIELD_NAME);
|
||||
Highlighter highlighter = new Highlighter(scorer);
|
||||
|
||||
StoredDocument doc = searcher.doc(hits.scoreDocs[0].doc);
|
||||
String storedField = doc.get(FIELD_NAME);
|
||||
|
||||
TokenStream stream = TokenSources.getAnyTokenStream(searcher
|
||||
.getIndexReader(), hits.scoreDocs[0].doc, FIELD_NAME, doc, analyzer);
|
||||
Fragmenter fragmenter = new SimpleSpanFragmenter(scorer);
|
||||
highlighter.setTextFragmenter(fragmenter);
|
||||
String fragment = highlighter.getBestFragment(stream, storedField);
|
||||
assertEquals("Hello <B>this</B> is a piece of text that is <B>very</B> <B>long</B> and contains too much preamble and the meat is really here which says kennedy has been shot", fragment);
|
||||
|
||||
doc = searcher.doc(hits.scoreDocs[1].doc);
|
||||
storedField = doc.get(FIELD_NAME);
|
||||
|
||||
stream = TokenSources.getAnyTokenStream(searcher
|
||||
.getIndexReader(), hits.scoreDocs[1].doc, FIELD_NAME, doc, analyzer);
|
||||
highlighter.setTextFragmenter(new SimpleSpanFragmenter(scorer));
|
||||
fragment = highlighter.getBestFragment(stream, storedField);
|
||||
assertEquals("<B>This</B> piece of text refers to Kennedy at the beginning then has a longer piece of text that is <B>very</B>", fragment);
|
||||
|
||||
}
|
||||
|
||||
public void testHighlightingWithDefaultField() throws Exception {
|
||||
|
||||
String s1 = "I call our world Flatland, not because we call it so,";
|
||||
|
@ -150,7 +232,7 @@ public class HighlighterTest extends BaseTokenStreamTestCase implements Formatte
|
|||
"Query in a named field does not result in highlighting when that field isn't in the query",
|
||||
s1, highlightField(q, FIELD_NAME, s1));
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* This method intended for use with <tt>testHighlightingWithDefaultField()</tt>
|
||||
*/
|
||||
|
@ -603,7 +685,7 @@ public class HighlighterTest extends BaseTokenStreamTestCase implements Formatte
|
|||
// Not sure we can assert anything here - just running to check we dont
|
||||
// throw any exceptions
|
||||
}
|
||||
|
||||
|
||||
public void testSpanHighlighting() throws Exception {
|
||||
Query query1 = new SpanNearQuery(new SpanQuery[] {
|
||||
new SpanTermQuery(new Term(FIELD_NAME, "wordx")),
|
||||
|
|
|
@ -18,6 +18,8 @@ package org.apache.lucene.search.vectorhighlight;
|
|||
import java.io.IOException;
|
||||
|
||||
import org.apache.lucene.analysis.MockAnalyzer;
|
||||
import org.apache.lucene.analysis.MockTokenFilter;
|
||||
import org.apache.lucene.analysis.MockTokenizer;
|
||||
import org.apache.lucene.document.Document;
|
||||
import org.apache.lucene.document.Field;
|
||||
import org.apache.lucene.document.FieldType;
|
||||
|
@ -26,7 +28,13 @@ import org.apache.lucene.index.DirectoryReader;
|
|||
import org.apache.lucene.index.IndexReader;
|
||||
import org.apache.lucene.index.IndexWriter;
|
||||
import org.apache.lucene.index.Term;
|
||||
import org.apache.lucene.queries.CommonTermsQuery;
|
||||
import org.apache.lucene.search.IndexSearcher;
|
||||
import org.apache.lucene.search.TermQuery;
|
||||
import org.apache.lucene.search.TopDocs;
|
||||
import org.apache.lucene.search.BooleanClause.Occur;
|
||||
import org.apache.lucene.search.highlight.SimpleSpanFragmenter;
|
||||
import org.apache.lucene.search.highlight.TokenSources;
|
||||
import org.apache.lucene.store.Directory;
|
||||
import org.apache.lucene.util.LuceneTestCase;
|
||||
|
||||
|
@ -62,4 +70,47 @@ public class FastVectorHighlighterTest extends LuceneTestCase {
|
|||
writer.close();
|
||||
dir.close();
|
||||
}
|
||||
|
||||
public void testCommonTermsQueryHighlightTest() throws IOException {
|
||||
Directory dir = newDirectory();
|
||||
IndexWriter writer = new IndexWriter(dir, newIndexWriterConfig(TEST_VERSION_CURRENT, new MockAnalyzer(random(), MockTokenizer.SIMPLE, true, MockTokenFilter.ENGLISH_STOPSET, true)));
|
||||
FieldType type = new FieldType(TextField.TYPE_STORED);
|
||||
type.setStoreTermVectorOffsets(true);
|
||||
type.setStoreTermVectorPositions(true);
|
||||
type.setStoreTermVectors(true);
|
||||
type.freeze();
|
||||
String[] texts = {
|
||||
"Hello this is a piece of text that is very long and contains too much preamble and the meat is really here which says kennedy has been shot",
|
||||
"This piece of text refers to Kennedy at the beginning then has a longer piece of text that is very long in the middle and finally ends with another reference to Kennedy",
|
||||
"JFK has been shot", "John Kennedy has been shot",
|
||||
"This text has a typo in referring to Keneddy",
|
||||
"wordx wordy wordz wordx wordy wordx worda wordb wordy wordc", "y z x y z a b", "lets is a the lets is a the lets is a the lets" };
|
||||
for (int i = 0; i < texts.length; i++) {
|
||||
Document doc = new Document();
|
||||
Field field = new Field("field", texts[i], type);
|
||||
doc.add(field);
|
||||
writer.addDocument(doc);
|
||||
}
|
||||
CommonTermsQuery query = new CommonTermsQuery(Occur.MUST, Occur.SHOULD, 2);
|
||||
query.add(new Term("field", "text"));
|
||||
query.add(new Term("field", "long"));
|
||||
query.add(new Term("field", "very"));
|
||||
|
||||
FastVectorHighlighter highlighter = new FastVectorHighlighter();
|
||||
IndexReader reader = DirectoryReader.open(writer, true);
|
||||
IndexSearcher searcher = new IndexSearcher(reader);
|
||||
TopDocs hits = searcher.search(query, 10);
|
||||
assertEquals(2, hits.totalHits);
|
||||
FieldQuery fieldQuery = highlighter.getFieldQuery(query, reader);
|
||||
String[] bestFragments = highlighter.getBestFragments(fieldQuery, reader, hits.scoreDocs[0].doc, "field", 1000, 1);
|
||||
assertEquals("This piece of <b>text</b> refers to Kennedy at the beginning then has a longer piece of <b>text</b> that is <b>very</b> <b>long</b> in the middle and finally ends with another reference to Kennedy", bestFragments[0]);
|
||||
|
||||
fieldQuery = highlighter.getFieldQuery(query, reader);
|
||||
bestFragments = highlighter.getBestFragments(fieldQuery, reader, hits.scoreDocs[1].doc, "field", 1000, 1);
|
||||
assertEquals("Hello this is a piece of <b>text</b> that is <b>very</b> <b>long</b> and contains too much preamble and the meat is really here which says kennedy has been shot", bestFragments[0]);
|
||||
|
||||
reader.close();
|
||||
writer.close();
|
||||
dir.close();
|
||||
}
|
||||
}
|
||||
|
|
|
@ -23,8 +23,13 @@ import java.util.List;
|
|||
import java.util.Map;
|
||||
import java.util.Set;
|
||||
|
||||
import org.apache.lucene.index.AtomicReaderContext;
|
||||
import org.apache.lucene.index.Term;
|
||||
import org.apache.lucene.search.BooleanQuery;
|
||||
import org.apache.lucene.search.ConstantScoreQuery;
|
||||
import org.apache.lucene.search.DocIdSet;
|
||||
import org.apache.lucene.search.Filter;
|
||||
import org.apache.lucene.search.FilteredQuery;
|
||||
import org.apache.lucene.search.PhraseQuery;
|
||||
import org.apache.lucene.search.PrefixQuery;
|
||||
import org.apache.lucene.search.Query;
|
||||
|
@ -35,6 +40,7 @@ import org.apache.lucene.search.TermRangeQuery;
|
|||
import org.apache.lucene.search.WildcardQuery;
|
||||
import org.apache.lucene.search.vectorhighlight.FieldQuery.QueryPhraseMap;
|
||||
import org.apache.lucene.search.vectorhighlight.FieldTermStack.TermInfo;
|
||||
import org.apache.lucene.util.Bits;
|
||||
import org.apache.lucene.util.BytesRef;
|
||||
|
||||
public class FieldQueryTest extends AbstractTestCase {
|
||||
|
@ -905,4 +911,40 @@ public class FieldQueryTest extends AbstractTestCase {
|
|||
assertNotNull (fq.searchPhrase(F, phraseCandidate));
|
||||
}
|
||||
|
||||
public void testStopRewrite() throws Exception {
|
||||
Query q = new Query() {
|
||||
|
||||
@Override
|
||||
public String toString(String field) {
|
||||
return "DummyQuery";
|
||||
}
|
||||
|
||||
};
|
||||
make1d1fIndex( "a" );
|
||||
assertNotNull(reader);
|
||||
new FieldQuery(q, reader, true, true );
|
||||
}
|
||||
|
||||
public void testFlattenFilteredQuery() throws Exception {
|
||||
Query query = new FilteredQuery(pqF( "A" ), new Filter() {
|
||||
@Override
|
||||
public DocIdSet getDocIdSet(AtomicReaderContext context, Bits acceptDocs)
|
||||
throws IOException {
|
||||
return null;
|
||||
}
|
||||
});
|
||||
FieldQuery fq = new FieldQuery( query, true, true );
|
||||
Set<Query> flatQueries = new HashSet<Query>();
|
||||
fq.flatten( query, reader, flatQueries );
|
||||
assertCollectionQueries( flatQueries, tq( "A" ) );
|
||||
}
|
||||
|
||||
public void testFlattenConstantScoreQuery() throws Exception {
|
||||
Query query = new ConstantScoreQuery(pqF( "A" ));
|
||||
FieldQuery fq = new FieldQuery( query, true, true );
|
||||
Set<Query> flatQueries = new HashSet<Query>();
|
||||
fq.flatten( query, reader, flatQueries );
|
||||
assertCollectionQueries( flatQueries, tq( "A" ) );
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
@ -465,7 +465,9 @@ public class MemoryIndex {
|
|||
throw new RuntimeException(e);
|
||||
} finally {
|
||||
try {
|
||||
if (stream != null) stream.close();
|
||||
if (stream != null) {
|
||||
stream.close();
|
||||
}
|
||||
} catch (IOException e2) {
|
||||
throw new RuntimeException(e2);
|
||||
}
|
||||
|
|
Loading…
Reference in New Issue