在Java中,我们可以使用Lucene库来实现搜索引擎信息搜索功能,以下是使用Lucene实现索引管理、查询解析和查询处理的示例代码:
import org.apache.lucene.analysis.Analyzer; import org.apache.lucene.analysis.standard.StandardAnalyzer; import org.apache.lucene.document.Document; import org.apache.lucene.document.Field; import org.apache.lucene.document.TextField; import org.apache.lucene.index.IndexWriter; import org.apache.lucene.index.IndexWriterConfig; import org.apache.lucene.store.Directory; import org.apache.lucene.store.RAMDirectory; import org.apache.lucene.util.Version; import java.io.IOException; import java.util.HashMap; import java.util.Map; import java.util.regex.Pattern; import java.util.stream.Collectors; import java.util.stream.Stream; public class IndexManager extends Thread { private static final Pattern PATTERN = PatternSyntaxException.class; private static final Version VERSION = new Version("7.10"); private Directory indexDirectory; private Analyzer analyzer; private Map<String, Integer> keywordIndices; private boolean isRunning = true; public IndexManager() throws IOException { indexDirectory = new RAMDirectory(); analyzer = new StandardAnalyzer(); } public void createIndex(String content) throws IOException { Document document = new Document(); for (String word : content.split("\\s+")) { int index = keywordIndices == null || keywordIndices.getOrDefault(word, -1) < 0 ? keywordIndices.size() : keywordIndices.getOrDefault(word, -1); Field field = new Field("content", word, Field.Store.YES, Field.Index.ANALYZED); field.setTokenized(true); field.setStored(true); field.setOmitNorms(true); int boost = Math.max(1, index * 2); field = new Field("keyword", word, Field.Store.NO, Field.Index.ANALYZED, boost); document.add(field); } IndexWriterConfig config = new IndexWriterConfig(analyzer); config.setOpenMode(IndexWriterConfig.OpenMode.CREATE_OR_APPEND); IndexWriter writer = new IndexWriter(indexDirectory, config); writer.addDocument(document); writer.close(); } public void updateKeywordIndices() throws Exception { HashMap<String, Integer> newKeywordIndices = new HashMap<>(); int maxKeywordIndex = Collections.max(keywordIndices.values()); int maxContentIndex = Collections.max(keywordIndicesByContent().values()); int currentIndex = maxKeywordIndex + maxContentIndex + 1; int minIndex = Math.min(maxKeywordIndex, maxContentIndex) + 1; int maxIndex = Math.max(maxKeywordIndex, maxContentIndex) + currentIndex; int[] indices = new int[currentIndex]; int[] counts = new int[currentIndex]; int[] offsets = new int[currentIndex]; int i = minIndex; int j = minIndex; int k = minIndex; int count = minIndex; int offset = minIndex; int[] contentIndices = keywordIndicesByContent().values().stream().mapToInt(Integer::intValue).toArray(); int[] keywordIndicesByContentCopy = keywordIndicesByContent().values().toArray(); // 避免原数组被修改时影响后续计算结果 Arrays
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