數據加載中……
          lucene_根據索引搜索文件

          package org.apache.lucene.demo;

          /**
           * Licensed to the Apache Software Foundation (ASF) under one or more
           * 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
           *
           * Unless required by applicable law or agreed to in writing, software
           * distributed under the License is distributed on an "AS IS" BASIS,
           * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
           * See the License for the specific language governing permissions and
           * limitations under the License.
           */

          import java.io.BufferedReader;
          import java.io.FileReader;
          import java.io.IOException;
          import java.io.InputStreamReader;
          import java.util.Date;

          import org.apache.lucene.analysis.Analyzer;
          import org.apache.lucene.analysis.standard.StandardAnalyzer;
          import org.apache.lucene.document.Document;
          import org.apache.lucene.index.FilterIndexReader;
          import org.apache.lucene.index.IndexReader;
          import org.apache.lucene.queryParser.MultiFieldQueryParser;
          import org.apache.lucene.queryParser.QueryParser;
          import org.apache.lucene.search.BooleanClause;
          import org.apache.lucene.search.HitCollector;
          import org.apache.lucene.search.IndexSearcher;
          import org.apache.lucene.search.Query;
          import org.apache.lucene.search.ScoreDoc;
          import org.apache.lucene.search.Searcher;
          import org.apache.lucene.search.TopDocCollector;

          /** Simple command-line based search demo. */
          public class SearchFiles {

            /** Use the norms from one field for all fields.  Norms are read into memory,
             * using a byte of memory per document per searched field.  This can cause
             * search of large collections with a large number of fields to run out of
             * memory.  If all of the fields contain only a single token, then the norms
             * are all identical, then single norm vector may be shared. */
            private static class OneNormsReader extends FilterIndexReader {
              private String field;

              public OneNormsReader(IndexReader in, String field) {
                super(in);
                this.field = field;
              }

              public byte[] norms(String field) throws IOException {
                return in.norms(this.field);
              }
            }

            private SearchFiles() {}

            /** Simple command-line based search demo. */
            public static void main(String[] args) throws Exception {
              String index = "index";
              String field = "content";
              boolean multipleFields = true;
              IndexReader reader = IndexReader.open(index);//IndexReader 根據 index 指定的路徑 訪問索引,掃描索引。
              Searcher searcher = new IndexSearcher(reader);
              Analyzer analyzer = new StandardAnalyzer();
              BufferedReader in =new BufferedReader(new InputStreamReader(System.in, "UTF-8"));
              while (true) {
             System.out.println("Enter query: ");
             String line = in.readLine();
             if (line == null || line.length() == -1)
              break;
             line = line.trim();
             if (line.length() == 0)
              break;
             if (!multipleFields) {
              QueryParser parser = new QueryParser(field, analyzer);
              Query query = parser.parse(field);// 根據指定的單個field查詢
              parser.setDefaultOperator(parser.OR_OPERATOR.OR);
              //多個字符串以空格份格時,OR  : a b  含有a或b均可。
              //AND   a b 必須含有 a和b。
              doPagingSearch(searcher, query);
              
             } else {

              String[] fields = new String[2];
              fields[0] = "contents";
              fields[1] = "name";
              BooleanClause.Occur[] flags = new BooleanClause.Occur[] {
                BooleanClause.Occur.SHOULD, BooleanClause.Occur.SHOULD };
              //根據多個field查詢時。should,should查詢字段在 name或是contents任何一個中,均做為一條記錄返回。
              //must,must .必須 即在 name 中,又在contents 中。
              Query query = MultiFieldQueryParser.parse(line, fields, flags,
                analyzer);
              doPagingSearch(searcher, query);
             }
            }
              reader.close();
            }
           
            /**
             * This method uses a custom HitCollector implementation which simply prints out
             * the docId and score of every matching document.
             *
             *  This simulates the streaming search use case, where all hits are supposed to
             *  be processed, regardless of their relevance.
             */

            public static void doPagingSearch( Searcher searcher, Query query) throws IOException {
           
              // Collect enough docs to show 5 pages
              TopDocCollector collector = new TopDocCollector(20);//最多結果集個數。
              searcher.search(query, collector);
              ScoreDoc[] hits = collector.topDocs().scoreDocs;
              int numTotalHits = collector.getTotalHits();//搜索到的符合條件的記錄總條數。
              System.out.println(numTotalHits + " total matching documents");

              for(int i=0;i<numTotalHits;i++){
                  Document doc = searcher.doc(hits[i].doc);
                  System.out.println("path.."+doc.get("path"));
                  System.out.println("modified.."+doc.get("modified"));
                  System.out.println("name.."+doc.get("name"));
                  System.out.println("parent"+doc.get("parent"));
                  System.out.println("content..."+doc.get("content"));
              }
            }
          }

          posted on 2009-08-12 16:59 R99 閱讀(483) 評論(0)  編輯  收藏 所屬分類: Lucene


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