Source Code Cross Referenced for ParallelMultiSearcher.java in  » Search-Engine » lucene » org » apache » lucene » search » Java Source Code / Java DocumentationJava Source Code and Java Documentation

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Java Source Code / Java Documentation » Search Engine » lucene » org.apache.lucene.search 
Source Cross Referenced  Class Diagram Java Document (Java Doc) 


001:        package org.apache.lucene.search;
002:
003:        /**
004:         * Licensed to the Apache Software Foundation (ASF) under one or more
005:         * contributor license agreements.  See the NOTICE file distributed with
006:         * this work for additional information regarding copyright ownership.
007:         * The ASF licenses this file to You under the Apache License, Version 2.0
008:         * (the "License"); you may not use this file except in compliance with
009:         * the License.  You may obtain a copy of the License at
010:         *
011:         *     http://www.apache.org/licenses/LICENSE-2.0
012:         *
013:         * Unless required by applicable law or agreed to in writing, software
014:         * distributed under the License is distributed on an "AS IS" BASIS,
015:         * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
016:         * See the License for the specific language governing permissions and
017:         * limitations under the License.
018:         */
019:
020:        import java.io.IOException;
021:
022:        import org.apache.lucene.index.Term;
023:        import org.apache.lucene.util.PriorityQueue;
024:
025:        /** Implements parallel search over a set of <code>Searchables</code>.
026:         *
027:         * <p>Applications usually need only call the inherited {@link #search(Query)}
028:         * or {@link #search(Query,Filter)} methods.
029:         */
030:        public class ParallelMultiSearcher extends MultiSearcher {
031:
032:            private Searchable[] searchables;
033:            private int[] starts;
034:
035:            /** Creates a searcher which searches <i>searchables</i>. */
036:            public ParallelMultiSearcher(Searchable[] searchables)
037:                    throws IOException {
038:                super (searchables);
039:                this .searchables = searchables;
040:                this .starts = getStarts();
041:            }
042:
043:            /**
044:             * TODO: parallelize this one too
045:             */
046:            public int docFreq(Term term) throws IOException {
047:                return super .docFreq(term);
048:            }
049:
050:            /**
051:             * A search implementation which spans a new thread for each
052:             * Searchable, waits for each search to complete and merge
053:             * the results back together.
054:             */
055:            public TopDocs search(Weight weight, Filter filter, int nDocs)
056:                    throws IOException {
057:                HitQueue hq = new HitQueue(nDocs);
058:                int totalHits = 0;
059:                MultiSearcherThread[] msta = new MultiSearcherThread[searchables.length];
060:                for (int i = 0; i < searchables.length; i++) { // search each searcher
061:                    // Assume not too many searchables and cost of creating a thread is by far inferior to a search
062:                    msta[i] = new MultiSearcherThread(searchables[i], weight,
063:                            filter, nDocs, hq, i, starts,
064:                            "MultiSearcher thread #" + (i + 1));
065:                    msta[i].start();
066:                }
067:
068:                for (int i = 0; i < searchables.length; i++) {
069:                    try {
070:                        msta[i].join();
071:                    } catch (InterruptedException ie) {
072:                        ; // TODO: what should we do with this???
073:                    }
074:                    IOException ioe = msta[i].getIOException();
075:                    if (ioe == null) {
076:                        totalHits += msta[i].hits();
077:                    } else {
078:                        // if one search produced an IOException, rethrow it
079:                        throw ioe;
080:                    }
081:                }
082:
083:                ScoreDoc[] scoreDocs = new ScoreDoc[hq.size()];
084:                for (int i = hq.size() - 1; i >= 0; i--)
085:                    // put docs in array
086:                    scoreDocs[i] = (ScoreDoc) hq.pop();
087:
088:                float maxScore = (totalHits == 0) ? Float.NEGATIVE_INFINITY
089:                        : scoreDocs[0].score;
090:
091:                return new TopDocs(totalHits, scoreDocs, maxScore);
092:            }
093:
094:            /**
095:             * A search implementation allowing sorting which spans a new thread for each
096:             * Searchable, waits for each search to complete and merges
097:             * the results back together.
098:             */
099:            public TopFieldDocs search(Weight weight, Filter filter, int nDocs,
100:                    Sort sort) throws IOException {
101:                // don't specify the fields - we'll wait to do this until we get results
102:                FieldDocSortedHitQueue hq = new FieldDocSortedHitQueue(null,
103:                        nDocs);
104:                int totalHits = 0;
105:                MultiSearcherThread[] msta = new MultiSearcherThread[searchables.length];
106:                for (int i = 0; i < searchables.length; i++) { // search each searcher
107:                    // Assume not too many searchables and cost of creating a thread is by far inferior to a search
108:                    msta[i] = new MultiSearcherThread(searchables[i], weight,
109:                            filter, nDocs, hq, sort, i, starts,
110:                            "MultiSearcher thread #" + (i + 1));
111:                    msta[i].start();
112:                }
113:
114:                float maxScore = Float.NEGATIVE_INFINITY;
115:
116:                for (int i = 0; i < searchables.length; i++) {
117:                    try {
118:                        msta[i].join();
119:                    } catch (InterruptedException ie) {
120:                        ; // TODO: what should we do with this???
121:                    }
122:                    IOException ioe = msta[i].getIOException();
123:                    if (ioe == null) {
124:                        totalHits += msta[i].hits();
125:                        maxScore = Math.max(maxScore, msta[i].getMaxScore());
126:                    } else {
127:                        // if one search produced an IOException, rethrow it
128:                        throw ioe;
129:                    }
130:                }
131:
132:                ScoreDoc[] scoreDocs = new ScoreDoc[hq.size()];
133:                for (int i = hq.size() - 1; i >= 0; i--)
134:                    // put docs in array
135:                    scoreDocs[i] = (ScoreDoc) hq.pop();
136:
137:                return new TopFieldDocs(totalHits, scoreDocs, hq.getFields(),
138:                        maxScore);
139:            }
140:
141:            /** Lower-level search API.
142:             *
143:             * <p>{@link HitCollector#collect(int,float)} is called for every non-zero
144:             * scoring document.
145:             *
146:             * <p>Applications should only use this if they need <i>all</i> of the
147:             * matching documents.  The high-level search API ({@link
148:             * Searcher#search(Query)}) is usually more efficient, as it skips
149:             * non-high-scoring hits.
150:             *
151:             * @param weight to match documents
152:             * @param filter if non-null, a bitset used to eliminate some documents
153:             * @param results to receive hits
154:             * 
155:             * @todo parallelize this one too
156:             */
157:            public void search(Weight weight, Filter filter,
158:                    final HitCollector results) throws IOException {
159:                for (int i = 0; i < searchables.length; i++) {
160:
161:                    final int start = starts[i];
162:
163:                    searchables[i].search(weight, filter, new HitCollector() {
164:                        public void collect(int doc, float score) {
165:                            results.collect(doc + start, score);
166:                        }
167:                    });
168:
169:                }
170:            }
171:
172:            /*
173:             * TODO: this one could be parallelized too
174:             * @see org.apache.lucene.search.Searchable#rewrite(org.apache.lucene.search.Query)
175:             */
176:            public Query rewrite(Query original) throws IOException {
177:                return super .rewrite(original);
178:            }
179:
180:        }
181:
182:        /**
183:         * A thread subclass for searching a single searchable 
184:         */
185:        class MultiSearcherThread extends Thread {
186:
187:            private Searchable searchable;
188:            private Weight weight;
189:            private Filter filter;
190:            private int nDocs;
191:            private TopDocs docs;
192:            private int i;
193:            private PriorityQueue hq;
194:            private int[] starts;
195:            private IOException ioe;
196:            private Sort sort;
197:
198:            public MultiSearcherThread(Searchable searchable, Weight weight,
199:                    Filter filter, int nDocs, HitQueue hq, int i, int[] starts,
200:                    String name) {
201:                super (name);
202:                this .searchable = searchable;
203:                this .weight = weight;
204:                this .filter = filter;
205:                this .nDocs = nDocs;
206:                this .hq = hq;
207:                this .i = i;
208:                this .starts = starts;
209:            }
210:
211:            public MultiSearcherThread(Searchable searchable, Weight weight,
212:                    Filter filter, int nDocs, FieldDocSortedHitQueue hq,
213:                    Sort sort, int i, int[] starts, String name) {
214:                super (name);
215:                this .searchable = searchable;
216:                this .weight = weight;
217:                this .filter = filter;
218:                this .nDocs = nDocs;
219:                this .hq = hq;
220:                this .i = i;
221:                this .starts = starts;
222:                this .sort = sort;
223:            }
224:
225:            public void run() {
226:                try {
227:                    docs = (sort == null) ? searchable.search(weight, filter,
228:                            nDocs) : searchable.search(weight, filter, nDocs,
229:                            sort);
230:                }
231:                // Store the IOException for later use by the caller of this thread
232:                catch (IOException ioe) {
233:                    this .ioe = ioe;
234:                }
235:                if (ioe == null) {
236:                    // if we are sorting by fields, we need to tell the field sorted hit queue
237:                    // the actual type of fields, in case the original list contained AUTO.
238:                    // if the searchable returns null for fields, we'll have problems.
239:                    if (sort != null) {
240:                        ((FieldDocSortedHitQueue) hq)
241:                                .setFields(((TopFieldDocs) docs).fields);
242:                    }
243:                    ScoreDoc[] scoreDocs = docs.scoreDocs;
244:                    for (int j = 0; j < scoreDocs.length; j++) { // merge scoreDocs into hq
245:                        ScoreDoc scoreDoc = scoreDocs[j];
246:                        scoreDoc.doc += starts[i]; // convert doc 
247:                        //it would be so nice if we had a thread-safe insert 
248:                        synchronized (hq) {
249:                            if (!hq.insert(scoreDoc))
250:                                break;
251:                        } // no more scores > minScore
252:                    }
253:                }
254:            }
255:
256:            public int hits() {
257:                return docs.totalHits;
258:            }
259:
260:            public float getMaxScore() {
261:                return docs.getMaxScore();
262:            }
263:
264:            public IOException getIOException() {
265:                return ioe;
266:            }
267:
268:        }
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