Lucene - Indexing Operations

Lucene - Query Programming

Lucene - Analysis

Lucene - Resources

Lucene - StandardAnalyzer Analyzer

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StandardAnalyzer is the most sophisticated analyzer and is capable of handling names, email addresses, etc. It lowercases each token and removes common words and punctuations, if any.

Class Declaration

Following is the declaration for org.apache.lucene.analysis.StandardAnalyzer class −

public final class StandardAnalyzer
   extends StopwordAnalyzerBase
S.No. Field & Description
1

static final int DEFAULT_MAX_TOKEN_LENGTH

Default maximum allowed token length.
.
S.No. Constructor & Description
1

StandardAnalyzer()

Builds an analyzer with no stop words.
2

StandardAnalyzer(Reader stopwords)

Builds an analyzer with the stop words from the given reader.
3

StandardAnalyzer(CharArraySet stopWords)

Builds an analyzer with the given stop words.
S.No. Method & Description
1

protected Analyzer.TokenStreamComponents createComponents(String fieldName)

Creates a new Analyzer.TokenStreamComponents instance for this analyzer.
2

int getMaxTokenLength()

Returns the current maximum token length.
3

protected TokenStream normalize(String fieldName, TokenStream in)

Wrap the given TokenStream in order to apply normalization filters.
4

void setMaxTokenLength(int length)

Set the max allowed token length.

Methods Inherited

This class inherits methods from the following classes −

  • org.apache.lucene.analysis.StopwordAnalyzerBase
  • org.apache.lucene.analysis.Analyzer
  • java.lang.Object

Usage of StandardAnalyzer

private void displayTokenUsingStandardAnalyzer() throws IOException {
   String text 
      = "Lucene is simple yet powerful java based search library.";
   Analyzer analyzer = new StandardAnalyzer();
   TokenStream tokenStream = analyzer.tokenStream(
   LuceneConstants.CONTENTS, new StringReader(text));
   CharTermAttribute term = tokenStream.addAttribute(CharTermAttribute.class);
   tokenStream.reset();
   while(tokenStream.incrementToken()) {
      System.out.print("[" + term.toString() + "] ");
   }
   analyzer.close();
}

Example Application

To test search using StandardAnalyzer, let us create a test Lucene application.

Step Description
1

Create a project with a name LuceneFirstApplication under a package com.tutorialspoint.lucene as explained in the Lucene - First Application chapter. You can also use the project created in Lucene - First Application chapter as such for this chapter to understand the searching process.
2

Create LuceneConstants.java as explained in the Lucene - First Application chapter. Keep the rest of the files unchanged.
3

Create LuceneTester.java as mentioned below.
4

Clean and Build the application to make sure business logic is working as per the requirements.

LuceneConstants.java

This class is used to provide various constants to be used across the sample application.

package com.tutorialspoint.lucene;

public class LuceneConstants {
   public static final String CONTENTS = "contents";
   public static final String FILE_NAME = "filename";
   public static final String FILE_PATH = "filepath";
   public static final int MAX_SEARCH = 10;
}

LuceneTester.java

This class is used to test the searching capability of the Lucene library.

package com.tutorialspoint.lucene;

import java.io.IOException;
import java.io.StringReader;

import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.standard.StandardAnalyzer;
import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;

public class LuceneTester {
	
   public static void main(String[] args) {
      LuceneTester tester;

      tester = new LuceneTester();
   
      try {
         tester.displayTokenUsingStandardAnalyzer();
      } catch (IOException e) {
         e.printStackTrace();
      }
   }

   private void displayTokenUsingStandardAnalyzer() throws IOException {
      String text 
         = "Lucene is simple yet powerful java based search library.";
      Analyzer analyzer = new StandardAnalyzer();
      TokenStream tokenStream = analyzer.tokenStream(
         LuceneConstants.CONTENTS, new StringReader(text));
      CharTermAttribute term = tokenStream.addAttribute(CharTermAttribute.class);
      tokenStream.reset();
      while(tokenStream.incrementToken()) {
         System.out.print("[" + term.toString() + "] ");
      }
      analyzer.close();
   }
}

Running the Program

Once you are done with the creation of the source, the raw data, the data directory, the index directory and the indexes, you can proceed by compiling and running your program. To do this, keep the LuceneTester.Java file tab active and use either the Run option available in the Eclipse IDE or use Ctrl + F11 to compile and run your LuceneTester application. If your application runs successfully, it will print the following message in Eclipse IDE's console −

Output

[lucene] [simple] [yet] [powerful] [java] [based] [search] [library]
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