lucene TermRangeQuery有什么问题?

wbrvyc0a  于 2022-11-07  发布在  Lucene
关注(0)|答案(1)|浏览(198)

TermRangeQuery的行为与我预期的不同。
我对Lucene和Java都不熟悉。
因此,可能是我不明白我的代码应该产生什么结果,或者我犯了一些丑陋的错误。
下面是代码(您可以在https://repl.it/@Tekener/AstonishingAridWatch中尝试):

import java.io.IOException;

import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.standard.StandardAnalyzer;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.StringField;
import org.apache.lucene.document.TextField;
import org.apache.lucene.document.Field.Store;
import org.apache.lucene.index.DirectoryReader;
import org.apache.lucene.index.IndexReader;
import org.apache.lucene.index.IndexWriter;
import org.apache.lucene.index.IndexWriterConfig;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.ScoreDoc;
import org.apache.lucene.search.TermRangeQuery;
import org.apache.lucene.search.TopDocs;
import org.apache.lucene.store.Directory;
import org.apache.lucene.store.RAMDirectory;

@SuppressWarnings("deprecation")
class Main {
    private static IndexSearcher indexSearcher;
    private static IndexReader indexReader;
    private static String separatorLine = "===========================";

    public static void main(String[] args) throws IOException {
        Analyzer analyzer = new StandardAnalyzer();
        Directory directory = new RAMDirectory();
        IndexWriterConfig config = new IndexWriterConfig(analyzer);
        IndexWriter indexWriter = new IndexWriter(directory, config);

        System.out.println(separatorLine);
        System.out.println("Building the index:");
        indexWriter.addDocument(createDocumentWithFields("1st", "Humpty Dumpty sat on a wall,"));
        indexWriter.addDocument(createDocumentWithFields("2nd", "Humpty Dumpty had a great fall."));
        indexWriter.addDocument(createDocumentWithFields("3rd", "All the king's horses and all the king'smen"));
        indexWriter.addDocument(createDocumentWithFields("4th", "Couldn't put Humpty together again."));
        System.out.println(separatorLine);

        indexWriter.commit();
        indexWriter.close();        

        indexReader = DirectoryReader.open(directory);
        indexSearcher = new IndexSearcher(indexReader);

        showQueryResult(1, TermRangeQuery.newStringRange("content", "a", "h", true, true));
        showQueryResult(2, TermRangeQuery.newStringRange("content", "A", "H", true, true));
        showQueryResult(3, TermRangeQuery.newStringRange("content", "a", "f", true, true));
        showQueryResult(4, TermRangeQuery.newStringRange("content", "A", "F", true, true));
    }

    private static void showQueryResult(int queryNo, Query query) throws IOException {
        System.out.println(String.format("Query #%d: %s", queryNo, query.toString()));
        TopDocs topDocs = indexSearcher.search(query, 100);
        System.out.println("Result:");
        for (ScoreDoc scoreDoc : topDocs.scoreDocs) {
            Document doc = indexReader.document(scoreDoc.doc);
            System.out.println(String.format("name: %s - content: %s", doc.getField("name").stringValue(), doc.getField("content").stringValue()));
        }
        System.out.println(separatorLine);
    }

    private static Document createDocumentWithFields(String name, String content) {
        System.out.println(String.format("name: %s - content: %s", name, content));
        Document doc = new Document();
        doc.add(new StringField("name",  name,    Store.YES));
        doc.add(new TextField("content", content, Store.YES));
        return doc;
    }
}

以下是控制台输出:

===========================
Building the index:
name: 1st - content: Humpty Dumpty sat on a wall,
name: 2nd - content: Humpty Dumpty had a great fall.
name: 3rd - content: All the king's horses and all the king'smen
name: 4th - content: Couldn't put Humpty together again.
===========================
Query #1: content:[a TO h]
Result:
name: 1st - content: Humpty Dumpty sat on a wall,
name: 2nd - content: Humpty Dumpty had a great fall.
name: 3rd - content: All the king's horses and all the king'smen
name: 4th - content: Couldn't put Humpty together again.
===========================
Query #2: content:[A TO H]
Result:
===========================
Query #3: content:[a TO f]
Result:
name: 1st - content: Humpty Dumpty sat on a wall,
name: 2nd - content: Humpty Dumpty had a great fall.
name: 3rd - content: All the king's horses and all the king'smen
name: 4th - content: Couldn't put Humpty together again.
===========================
Query #4: content:[A TO F]
Result:
===========================

我的结论是:
如果索引文本(“content”字段)存储为小写字符串,则查询#1、#2和#4的结果可能是正确的。
但如果是这种情况,则查询#3的结果将是错误的。
在查询#3中只能找到第3个和第4个条目。
我错在哪里?

wqsoz72f

wqsoz72f1#

标准分析器uses the lower case filter-所以,是的,所有索引数据都将是小写的:

  • 使用LowerCaseFilter和StopFilter过滤StandardTokenizer,使用可配置的停用字词列表。*

还有,切记这一点:

TermRangeQuery.newStringRange("content", "a", "f", true, true);

表示“a”和“f”包括在该范围内(true值)。
因此,“had a great fall”中的“a”是匹配的。这就是为什么在查询3中找到所有4个结果的原因。将第3个搜索更改为类似以下内容的内容,以查看影响:

TermRangeQuery.newStringRange("content", "a", "b", true, true);
TermRangeQuery.newStringRange("content", "a", "b", false, false);

下面这一点与您的问题并不完全相关,但它可能很有用。通常,在执行搜索时,最好使用与索引数据时相同的分析器(也有例外情况)。因此,例如,搜索通常以不区分大小写的方式匹配搜索项。通过对搜索项使用标准分析器,您可以实现这一点。
有多种方法可以做到这一点-这里有一种方法-可能还有更巧妙的方法:

QueryParser parser = new QueryParser("content", analyzer);

Query q1 = TermRangeQuery.newStringRange("content", "b", "h", true, true);
Query query1 = parser.parse(q1.toString());
showQueryResult(1, query1);

根据上述情况,结果应该是有意义的。
如果你想了解什么是真正被索引的,我建议改为使用:

org.apache.lucene.store.MMapDirectory;

像这样:

Directory directory = new MMapDirectory(Paths.get("E:/lucene/indexes/range_queries"));

而且,无论如何,RAMDirectory是not generally recommended-除了演示。
一旦数据在磁盘上,你可以指向Luke--一个非常有用的工具(带有GUI)来探索索引数据。它以JAR文件(lucene-luke-8.x.x.jar)的形式提供,可以在Lucene的主要二进制发布包中找到。

编辑

如果您使用RAMDirectory,您可能还需要使用以下命令:

if (!DirectoryReader.indexExists(directory)) {
    // index builder logic here
}

这样可以避免使用重复数据重新填充索引。
关于停用词:默认情况下,标准分析器有一个空的非索引字表。

import org.apache.lucene.analysis.CharArraySet;

...

CharArraySet myStopWords = new CharArraySet(2, true); 
myStopWords .add("foo");
myStopWords .add("bar");
Analyzer analyzer = new StandardAnalyzer(myStopWords);

你也可以使用现有的停用词列表。下面是一个针对英语停用词的列表:

import static org.apache.lucene.analysis.en.EnglishAnalyzer.ENGLISH_STOP_WORDS_SET;

...

Analyzer analyzer = new StandardAnalyzer(ENGLISH_STOP_WORDS_SET);

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