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 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
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package org.apache.lucene.search;


import java.io.IOException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.Collections;
import java.util.List;
import java.util.Objects;
import java.util.Set;
import java.util.concurrent.CompletableFuture;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.Executor;
import java.util.concurrent.Future;
import java.util.concurrent.FutureTask;

import org.apache.lucene.document.Document;
import org.apache.lucene.index.DirectoryReader;
import org.apache.lucene.index.IndexReader;
import org.apache.lucene.index.IndexReaderContext;
import org.apache.lucene.index.IndexWriter;
import org.apache.lucene.index.LeafReaderContext;
import org.apache.lucene.index.ReaderUtil;
import org.apache.lucene.index.StoredFieldVisitor;
import org.apache.lucene.index.Term;
import org.apache.lucene.index.TermStates;
import org.apache.lucene.index.Terms;
import org.apache.lucene.search.similarities.BM25Similarity;
import org.apache.lucene.search.similarities.Similarity;
import org.apache.lucene.store.NIOFSDirectory;
import org.apache.lucene.util.Bits;
import org.apache.lucene.util.ThreadInterruptedException;

/** Implements search over a single IndexReader.
 *
 * 

Applications usually need only call the inherited * {@link #search(Query,int)} method. For * performance reasons, if your index is unchanging, you * should share a single IndexSearcher instance across * multiple searches instead of creating a new one * per-search. If your index has changed and you wish to * see the changes reflected in searching, you should * use {@link DirectoryReader#openIfChanged(DirectoryReader)} * to obtain a new reader and * then create a new IndexSearcher from that. Also, for * low-latency turnaround it's best to use a near-real-time * reader ({@link DirectoryReader#open(IndexWriter)}). * Once you have a new {@link IndexReader}, it's relatively * cheap to create a new IndexSearcher from it. * *

NOTE: The {@link #search} and {@link #searchAfter} methods are * configured to only count top hits accurately up to {@code 1,000} and may * return a {@link TotalHits.Relation lower bound} of the hit count if the * hit count is greater than or equal to {@code 1,000}. On queries that match * lots of documents, counting the number of hits may take much longer than * computing the top hits so this trade-off allows to get some minimal * information about the hit count without slowing down search too much. The * {@link TopDocs#scoreDocs} array is always accurate however. If this behavior * doesn't suit your needs, you should create collectors manually with either * {@link TopScoreDocCollector#create} or {@link TopFieldCollector#create} and * call {@link #search(Query, Collector)}. * *

NOTE: {@link * IndexSearcher} instances are completely * thread safe, meaning multiple threads can call any of its * methods, concurrently. If your application requires * external synchronization, you should not * synchronize on the IndexSearcher instance; * use your own (non-Lucene) objects instead.

*/ public class IndexSearcher { private static QueryCache DEFAULT_QUERY_CACHE; private static QueryCachingPolicy DEFAULT_CACHING_POLICY = new UsageTrackingQueryCachingPolicy(); static { final int maxCachedQueries = 1000; // min of 32MB or 5% of the heap size final long maxRamBytesUsed = Math.min(1L << 25, Runtime.getRuntime().maxMemory() / 20); DEFAULT_QUERY_CACHE = new LRUQueryCache(maxCachedQueries, maxRamBytesUsed); } /** * By default we count hits accurately up to 1000. This makes sure that we * don't spend most time on computing hit counts */ private static final int TOTAL_HITS_THRESHOLD = 1000; final IndexReader reader; // package private for testing! // NOTE: these members might change in incompatible ways // in the next release protected final IndexReaderContext readerContext; protected final List leafContexts; /** used with executor - each slice holds a set of leafs executed within one thread */ private final LeafSlice[] leafSlices; // These are only used for multi-threaded search private final Executor executor; // the default Similarity private static final Similarity defaultSimilarity = new BM25Similarity(); private QueryCache queryCache = DEFAULT_QUERY_CACHE; private QueryCachingPolicy queryCachingPolicy = DEFAULT_CACHING_POLICY; /** * Expert: returns a default Similarity instance. * In general, this method is only called to initialize searchers and writers. * User code and query implementations should respect * {@link IndexSearcher#getSimilarity()}. * @lucene.internal */ public static Similarity getDefaultSimilarity() { return defaultSimilarity; } /** * Expert: Get the default {@link QueryCache} or {@code null} if the cache is disabled. * @lucene.internal */ public static QueryCache getDefaultQueryCache() { return DEFAULT_QUERY_CACHE; } /** * Expert: set the default {@link QueryCache} instance. * @lucene.internal */ public static void setDefaultQueryCache(QueryCache defaultQueryCache) { DEFAULT_QUERY_CACHE = defaultQueryCache; } /** * Expert: Get the default {@link QueryCachingPolicy}. * @lucene.internal */ public static QueryCachingPolicy getDefaultQueryCachingPolicy() { return DEFAULT_CACHING_POLICY; } /** * Expert: set the default {@link QueryCachingPolicy} instance. * @lucene.internal */ public static void setDefaultQueryCachingPolicy(QueryCachingPolicy defaultQueryCachingPolicy) { DEFAULT_CACHING_POLICY = defaultQueryCachingPolicy; } /** The Similarity implementation used by this searcher. */ private Similarity similarity = defaultSimilarity; /** Creates a searcher searching the provided index. */ public IndexSearcher(IndexReader r) { this(r, null); } /** * Runs searches for each segment separately, using the provided Executor. NOTE: if you are using * {@link NIOFSDirectory}, do not use the shutdownNow method of ExecutorService as this uses * Thread.interrupt under-the-hood which can silently close file descriptors (see LUCENE-2239). * * @lucene.experimental */ public IndexSearcher(IndexReader r, Executor executor) { this(r.getContext(), executor); } /** * Creates a searcher searching the provided top-level {@link IndexReaderContext}. * *

Given a non-null {@link Executor} this method runs searches for each segment * separately, using the provided Executor. NOTE: if you are using {@link NIOFSDirectory}, do not * use the shutdownNow method of ExecutorService as this uses Thread.interrupt under-the-hood * which can silently close file descriptors (see LUCENE-2239). * * @see IndexReaderContext * @see IndexReader#getContext() * @lucene.experimental */ public IndexSearcher(IndexReaderContext context, Executor executor) { assert context.isTopLevel: "IndexSearcher's ReaderContext must be topLevel for reader" + context.reader(); reader = context.reader(); this.executor = executor; this.readerContext = context; leafContexts = context.leaves(); this.leafSlices = executor == null ? null : slices(leafContexts); } /** * Creates a searcher searching the provided top-level {@link IndexReaderContext}. * * @see IndexReaderContext * @see IndexReader#getContext() * @lucene.experimental */ public IndexSearcher(IndexReaderContext context) { this(context, null); } /** * Set the {@link QueryCache} to use when scores are not needed. * A value of {@code null} indicates that query matches should never be * cached. This method should be called before starting using this * {@link IndexSearcher}. *

NOTE: When using a query cache, queries should not be modified after * they have been passed to IndexSearcher. * @see QueryCache * @lucene.experimental */ public void setQueryCache(QueryCache queryCache) { this.queryCache = queryCache; } /** * Return the query cache of this {@link IndexSearcher}. This will be either * the {@link #getDefaultQueryCache() default query cache} or the query cache * that was last set through {@link #setQueryCache(QueryCache)}. A return * value of {@code null} indicates that caching is disabled. * @lucene.experimental */ public QueryCache getQueryCache() { return queryCache; } /** * Set the {@link QueryCachingPolicy} to use for query caching. * This method should be called before starting using this * {@link IndexSearcher}. * @see QueryCachingPolicy * @lucene.experimental */ public void setQueryCachingPolicy(QueryCachingPolicy queryCachingPolicy) { this.queryCachingPolicy = Objects.requireNonNull(queryCachingPolicy); } /** * Return the query cache of this {@link IndexSearcher}. This will be either * the {@link #getDefaultQueryCachingPolicy() default policy} or the policy * that was last set through {@link #setQueryCachingPolicy(QueryCachingPolicy)}. * @lucene.experimental */ public QueryCachingPolicy getQueryCachingPolicy() { return queryCachingPolicy; } /** * Expert: Creates an array of leaf slices each holding a subset of the given leaves. * Each {@link LeafSlice} is executed in a single thread. By default there * will be one {@link LeafSlice} per leaf ({@link org.apache.lucene.index.LeafReaderContext}). */ protected LeafSlice[] slices(List leaves) { LeafSlice[] slices = new LeafSlice[leaves.size()]; for (int i = 0; i < slices.length; i++) { slices[i] = new LeafSlice(leaves.get(i)); } return slices; } /** Return the {@link IndexReader} this searches. */ public IndexReader getIndexReader() { return reader; } /** * Sugar for .getIndexReader().document(docID) * @see IndexReader#document(int) */ public Document doc(int docID) throws IOException { return reader.document(docID); } /** * Sugar for .getIndexReader().document(docID, fieldVisitor) * @see IndexReader#document(int, StoredFieldVisitor) */ public void doc(int docID, StoredFieldVisitor fieldVisitor) throws IOException { reader.document(docID, fieldVisitor); } /** * Sugar for .getIndexReader().document(docID, fieldsToLoad) * @see IndexReader#document(int, Set) */ public Document doc(int docID, Set fieldsToLoad) throws IOException { return reader.document(docID, fieldsToLoad); } /** Expert: Set the Similarity implementation used by this IndexSearcher. * */ public void setSimilarity(Similarity similarity) { this.similarity = similarity; } /** Expert: Get the {@link Similarity} to use to compute scores. This returns the * {@link Similarity} that has been set through {@link #setSimilarity(Similarity)} * or the default {@link Similarity} if none has been set explicitly. */ public Similarity getSimilarity() { return similarity; } /** * Count how many documents match the given query. */ public int count(Query query) throws IOException { query = rewrite(query); while (true) { // remove wrappers that don't matter for counts if (query instanceof ConstantScoreQuery) { query = ((ConstantScoreQuery) query).getQuery(); } else { break; } } // some counts can be computed in constant time if (query instanceof MatchAllDocsQuery) { return reader.numDocs(); } else if (query instanceof TermQuery && reader.hasDeletions() == false) { Term term = ((TermQuery) query).getTerm(); int count = 0; for (LeafReaderContext leaf : reader.leaves()) { count += leaf.reader().docFreq(term); } return count; } // general case: create a collector and count matches final CollectorManager collectorManager = new CollectorManager() { @Override public TotalHitCountCollector newCollector() throws IOException { return new TotalHitCountCollector(); } @Override public Integer reduce(Collection collectors) throws IOException { int total = 0; for (TotalHitCountCollector collector : collectors) { total += collector.getTotalHits(); } return total; } }; return search(query, collectorManager); } /** Returns the leaf slices used for concurrent searching, or null if no {@code Executor} was * passed to the constructor. * * @lucene.experimental */ public LeafSlice[] getSlices() { return leafSlices; } /** Finds the top n * hits for query where all results are after a previous * result (after). *

* By passing the bottom result from a previous page as after, * this method can be used for efficient 'deep-paging' across potentially * large result sets. * * @throws BooleanQuery.TooManyClauses If a query would exceed * {@link BooleanQuery#getMaxClauseCount()} clauses. */ public TopDocs searchAfter(ScoreDoc after, Query query, int numHits) throws IOException { final int limit = Math.max(1, reader.maxDoc()); if (after != null && after.doc >= limit) { throw new IllegalArgumentException("after.doc exceeds the number of documents in the reader: after.doc=" + after.doc + " limit=" + limit); } final int cappedNumHits = Math.min(numHits, limit); final CollectorManager manager = new CollectorManager() { private final HitsThresholdChecker hitsThresholdChecker = (executor == null || leafSlices.length <= 1) ? HitsThresholdChecker.create(Math.max(TOTAL_HITS_THRESHOLD, numHits)) : HitsThresholdChecker.createShared(Math.max(TOTAL_HITS_THRESHOLD, numHits)); private final MaxScoreAccumulator minScoreAcc = (executor == null || leafSlices.length <= 1) ? null : new MaxScoreAccumulator(); @Override public TopScoreDocCollector newCollector() throws IOException { return TopScoreDocCollector.create(cappedNumHits, after, hitsThresholdChecker, minScoreAcc); } @Override public TopDocs reduce(Collection collectors) throws IOException { final TopDocs[] topDocs = new TopDocs[collectors.size()]; int i = 0; for (TopScoreDocCollector collector : collectors) { topDocs[i++] = collector.topDocs(); } return TopDocs.merge(0, cappedNumHits, topDocs, true); } }; return search(query, manager); } /** Finds the top n * hits for query. * * @throws BooleanQuery.TooManyClauses If a query would exceed * {@link BooleanQuery#getMaxClauseCount()} clauses. */ public TopDocs search(Query query, int n) throws IOException { return searchAfter(null, query, n); } /** Lower-level search API. * *

{@link LeafCollector#collect(int)} is called for every matching document. * * @throws BooleanQuery.TooManyClauses If a query would exceed * {@link BooleanQuery#getMaxClauseCount()} clauses. */ public void search(Query query, Collector results) throws IOException { query = rewrite(query); search(leafContexts, createWeight(query, results.scoreMode(), 1), results); } /** Search implementation with arbitrary sorting, plus * control over whether hit scores and max score * should be computed. Finds * the top n hits for query, and sorting * the hits by the criteria in sort. * If doDocScores is true * then the score of each hit will be computed and * returned. If doMaxScore is * true then the maximum score over all * collected hits will be computed. * * @throws BooleanQuery.TooManyClauses If a query would exceed * {@link BooleanQuery#getMaxClauseCount()} clauses. */ public TopFieldDocs search(Query query, int n, Sort sort, boolean doDocScores) throws IOException { return searchAfter(null, query, n, sort, doDocScores); } /** * Search implementation with arbitrary sorting. * @param query The query to search for * @param n Return only the top n results * @param sort The {@link org.apache.lucene.search.Sort} object * @return The top docs, sorted according to the supplied {@link org.apache.lucene.search.Sort} instance * @throws IOException if there is a low-level I/O error */ public TopFieldDocs search(Query query, int n, Sort sort) throws IOException { return searchAfter(null, query, n, sort, false); } /** Finds the top n * hits for query where all results are after a previous * result (after). *

* By passing the bottom result from a previous page as after, * this method can be used for efficient 'deep-paging' across potentially * large result sets. * * @throws BooleanQuery.TooManyClauses If a query would exceed * {@link BooleanQuery#getMaxClauseCount()} clauses. */ public TopDocs searchAfter(ScoreDoc after, Query query, int n, Sort sort) throws IOException { return searchAfter(after, query, n, sort, false); } /** Finds the top n * hits for query where all results are after a previous * result (after), allowing control over * whether hit scores and max score should be computed. *

* By passing the bottom result from a previous page as after, * this method can be used for efficient 'deep-paging' across potentially * large result sets. If doDocScores is true * then the score of each hit will be computed and * returned. If doMaxScore is * true then the maximum score over all * collected hits will be computed. * * @throws BooleanQuery.TooManyClauses If a query would exceed * {@link BooleanQuery#getMaxClauseCount()} clauses. */ public TopFieldDocs searchAfter(ScoreDoc after, Query query, int numHits, Sort sort, boolean doDocScores) throws IOException { if (after != null && !(after instanceof FieldDoc)) { // TODO: if we fix type safety of TopFieldDocs we can // remove this throw new IllegalArgumentException("after must be a FieldDoc; got " + after); } return searchAfter((FieldDoc) after, query, numHits, sort, doDocScores); } private TopFieldDocs searchAfter(FieldDoc after, Query query, int numHits, Sort sort, boolean doDocScores) throws IOException { final int limit = Math.max(1, reader.maxDoc()); if (after != null && after.doc >= limit) { throw new IllegalArgumentException("after.doc exceeds the number of documents in the reader: after.doc=" + after.doc + " limit=" + limit); } final int cappedNumHits = Math.min(numHits, limit); final Sort rewrittenSort = sort.rewrite(this); final CollectorManager manager = new CollectorManager() { private final HitsThresholdChecker hitsThresholdChecker = (executor == null || leafSlices.length <= 1) ? HitsThresholdChecker.create(Math.max(TOTAL_HITS_THRESHOLD, numHits)) : HitsThresholdChecker.createShared(Math.max(TOTAL_HITS_THRESHOLD, numHits)); private final MaxScoreAccumulator minScoreAcc = (executor == null || leafSlices.length <= 1) ? null : new MaxScoreAccumulator(); @Override public TopFieldCollector newCollector() throws IOException { // TODO: don't pay the price for accurate hit counts by default return TopFieldCollector.create(rewrittenSort, cappedNumHits, after, hitsThresholdChecker, minScoreAcc); } @Override public TopFieldDocs reduce(Collection collectors) throws IOException { final TopFieldDocs[] topDocs = new TopFieldDocs[collectors.size()]; int i = 0; for (TopFieldCollector collector : collectors) { topDocs[i++] = collector.topDocs(); } return TopDocs.merge(rewrittenSort, 0, cappedNumHits, topDocs, true); } }; TopFieldDocs topDocs = search(query, manager); if (doDocScores) { TopFieldCollector.populateScores(topDocs.scoreDocs, this, query); } return topDocs; } /** * Lower-level search API. * Search all leaves using the given {@link CollectorManager}. In contrast * to {@link #search(Query, Collector)}, this method will use the searcher's * {@link Executor} in order to parallelize execution of the collection * on the configured {@link #leafSlices}. * @see CollectorManager * @lucene.experimental */ public T search(Query query, CollectorManager collectorManager) throws IOException { if (executor == null || leafSlices.length <= 1) { final C collector = collectorManager.newCollector(); search(query, collector); return collectorManager.reduce(Collections.singletonList(collector)); } else { final List collectors = new ArrayList<>(leafSlices.length); ScoreMode scoreMode = null; for (int i = 0; i < leafSlices.length; ++i) { final C collector = collectorManager.newCollector(); collectors.add(collector); if (scoreMode == null) { scoreMode = collector.scoreMode(); } else if (scoreMode != collector.scoreMode()) { throw new IllegalStateException("CollectorManager does not always produce collectors with the same score mode"); } } if (scoreMode == null) { // no segments scoreMode = ScoreMode.COMPLETE; } query = rewrite(query); final Weight weight = createWeight(query, scoreMode, 1); final List> topDocsFutures = new ArrayList<>(leafSlices.length); for (int i = 0; i < leafSlices.length - 1; ++i) { final LeafReaderContext[] leaves = leafSlices[i].leaves; final C collector = collectors.get(i); FutureTask task = new FutureTask<>(() -> { search(Arrays.asList(leaves), weight, collector); return collector; }); executor.execute(task); topDocsFutures.add(task); } final LeafReaderContext[] leaves = leafSlices[leafSlices.length - 1].leaves; final C collector = collectors.get(leafSlices.length - 1); // execute the last on the caller thread search(Arrays.asList(leaves), weight, collector); topDocsFutures.add(CompletableFuture.completedFuture(collector)); final List collectedCollectors = new ArrayList<>(); for (Future future : topDocsFutures) { try { collectedCollectors.add(future.get()); } catch (InterruptedException e) { throw new ThreadInterruptedException(e); } catch (ExecutionException e) { throw new RuntimeException(e); } } return collectorManager.reduce(collectors); } } /** * Lower-level search API. * *

* {@link LeafCollector#collect(int)} is called for every document.
* *

* NOTE: this method executes the searches on all given leaves exclusively. * To search across all the searchers leaves use {@link #leafContexts}. * * @param leaves * the searchers leaves to execute the searches on * @param weight * to match documents * @param collector * to receive hits * @throws BooleanQuery.TooManyClauses If a query would exceed * {@link BooleanQuery#getMaxClauseCount()} clauses. */ protected void search(List leaves, Weight weight, Collector collector) throws IOException { // TODO: should we make this // threaded...? the Collector could be sync'd? // always use single thread: for (LeafReaderContext ctx : leaves) { // search each subreader final LeafCollector leafCollector; try { leafCollector = collector.getLeafCollector(ctx); } catch (CollectionTerminatedException e) { // there is no doc of interest in this reader context // continue with the following leaf continue; } BulkScorer scorer = weight.bulkScorer(ctx); if (scorer != null) { try { scorer.score(leafCollector, ctx.reader().getLiveDocs()); } catch (CollectionTerminatedException e) { // collection was terminated prematurely // continue with the following leaf } } } } /** Expert: called to re-write queries into primitive queries. * @throws BooleanQuery.TooManyClauses If a query would exceed * {@link BooleanQuery#getMaxClauseCount()} clauses. */ public Query rewrite(Query original) throws IOException { Query query = original; for (Query rewrittenQuery = query.rewrite(reader); rewrittenQuery != query; rewrittenQuery = query.rewrite(reader)) { query = rewrittenQuery; } return query; } /** Returns an Explanation that describes how doc scored against * query. * *

This is intended to be used in developing Similarity implementations, * and, for good performance, should not be displayed with every hit. * Computing an explanation is as expensive as executing the query over the * entire index. */ public Explanation explain(Query query, int doc) throws IOException { query = rewrite(query); return explain(createWeight(query, ScoreMode.COMPLETE, 1), doc); } /** Expert: low-level implementation method * Returns an Explanation that describes how doc scored against * weight. * *

This is intended to be used in developing Similarity implementations, * and, for good performance, should not be displayed with every hit. * Computing an explanation is as expensive as executing the query over the * entire index. *

Applications should call {@link IndexSearcher#explain(Query, int)}. * @throws BooleanQuery.TooManyClauses If a query would exceed * {@link BooleanQuery#getMaxClauseCount()} clauses. */ protected Explanation explain(Weight weight, int doc) throws IOException { int n = ReaderUtil.subIndex(doc, leafContexts); final LeafReaderContext ctx = leafContexts.get(n); int deBasedDoc = doc - ctx.docBase; final Bits liveDocs = ctx.reader().getLiveDocs(); if (liveDocs != null && liveDocs.get(deBasedDoc) == false) { return Explanation.noMatch("Document " + doc + " is deleted"); } return weight.explain(ctx, deBasedDoc); } /** * Creates a {@link Weight} for the given query, potentially adding caching * if possible and configured. * @lucene.experimental */ public Weight createWeight(Query query, ScoreMode scoreMode, float boost) throws IOException { final QueryCache queryCache = this.queryCache; Weight weight = query.createWeight(this, scoreMode, boost); if (scoreMode.needsScores() == false && queryCache != null) { weight = queryCache.doCache(weight, queryCachingPolicy); } return weight; } /** * Returns this searchers the top-level {@link IndexReaderContext}. * @see IndexReader#getContext() */ /* sugar for #getReader().getTopReaderContext() */ public IndexReaderContext getTopReaderContext() { return readerContext; } /** * A class holding a subset of the {@link IndexSearcher}s leaf contexts to be * executed within a single thread. * * @lucene.experimental */ public static class LeafSlice { /** The leaves that make up this slice. * * @lucene.experimental */ public final LeafReaderContext[] leaves; public LeafSlice(LeafReaderContext... leaves) { this.leaves = leaves; } } @Override public String toString() { return "IndexSearcher(" + reader + "; executor=" + executor + ")"; } /** * Returns {@link TermStatistics} for a term, or {@code null} if * the term does not exist. * @deprecated in favor of {@link #termStatistics(Term, int, long)}. */ @Deprecated public final TermStatistics termStatistics(Term term, TermStates context) throws IOException { if (context.docFreq() == 0) { return null; } else { return termStatistics(term, context.docFreq(), context.totalTermFreq()); } } /** * Returns {@link TermStatistics} for a term. *

* This can be overridden for example, to return a term's statistics * across a distributed collection. * * @param docFreq The document frequency of the term. It must be greater or equal to 1. * @param totalTermFreq The total term frequency. * @return A {@link TermStatistics} (never null). * @lucene.experimental */ public TermStatistics termStatistics(Term term, int docFreq, long totalTermFreq) throws IOException { // This constructor will throw an exception if docFreq <= 0. return new TermStatistics(term.bytes(), docFreq, totalTermFreq); } /** * Returns {@link CollectionStatistics} for a field, or {@code null} if * the field does not exist (has no indexed terms) * * This can be overridden for example, to return a field's statistics * across a distributed collection. * @lucene.experimental */ public CollectionStatistics collectionStatistics(String field) throws IOException { assert field != null; long docCount = 0; long sumTotalTermFreq = 0; long sumDocFreq = 0; for (LeafReaderContext leaf : reader.leaves()) { final Terms terms = leaf.reader().terms(field); if (terms == null) { continue; } docCount += terms.getDocCount(); sumTotalTermFreq += terms.getSumTotalTermFreq(); sumDocFreq += terms.getSumDocFreq(); } if (docCount == 0) { return null; } return new CollectionStatistics(field, reader.maxDoc(), docCount, sumTotalTermFreq, sumDocFreq); } /** * Returns this searchers executor or null if no executor was provided */ public Executor getExecutor() { return executor; } }





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