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    <p>At some point your query analysis doesn't match with your Document analysis. </p> <p>Most likely you are internally using Lucene's <a href="http://lucene.apache.org/core/3_6_0/api/core/org/apache/lucene/analysis/standard/StandardAnalyzer.html" rel="nofollow">StandardAnalyzer</a> on the query parsing but not at index time, as detonated by:</p> <pre><code>@SearchableMetaData(name="ordering_name", index=Index.NOT_ANALYZED)) </code></pre> <p>The <a href="http://lucene.apache.org/core/3_6_0/api/all/org/apache/lucene/analysis/standard/StandardTokenizer.html" rel="nofollow">StandardTokenizer</a> used inside this analyzer considers the character <code>/</code> as a word boundary (such as space would be), producing the tokens <code>n</code> and <code>a</code>. Later on, the token <code>a</code> is removed by a <a href="http://lucene.apache.org/core/3_6_0/api/all/org/apache/lucene/analysis/StopFilter.html" rel="nofollow">StopFilter</a>. </p> <p>The following code is an example for this explanation (the input is <code>"c/d e/f n/a"</code>):</p> <pre><code>Analyzer analyzer = new StandardAnalyzer(Version.LUCENE_36); TokenStream tokenStream = analyzer.tokenStream("CONTENT", new StringReader("c/d e/f n/a")); CharTermAttribute term = tokenStream.getAttribute(CharTermAttribute.class); PositionIncrementAttribute position = tokenStream.getAttribute(PositionIncrementAttribute.class); int pos = 0; while (tokenStream.incrementToken()) { String termStr = term.toString(); int incr = position.getPositionIncrement(); if (incr == 0 ) { System.out.print(" [" + termStr + "]"); } else { pos += incr; System.out.println(" " + pos + ": [" + termStr +"]"); } } </code></pre> <p>You'll see the following extracted tokens:</p> <pre><code> 1: [c] 2: [d] 3: [e] 4: [f] 5: [n] </code></pre> <p>Notice that the expected position 6: with token <code>a</code> is missing. As you can see, Lucene's <a href="http://lucene.apache.org/core/3_6_0/api/all/org/apache/lucene/queryParser/QueryParser.html" rel="nofollow">QueryParser</a> also performs this tokenization:</p> <pre><code>QueryParser parser = new QueryParser(Version.LUCENE_36, "content", new StandardAnalyzer(Version.LUCENE_36)); System.out.println(parser.parse("+n/a*")); </code></pre> <p>The output is:</p> <pre><code>+content:n </code></pre> <p>EDIT: The solution would be to use <a href="http://lucene.apache.org/core/3_6_0/api/core/org/apache/lucene/analysis/WhitespaceAnalyzer.html" rel="nofollow">WhitespaceAnalyzer</a>, and set the field to ANALYZED. The following code is a proof of concept under Lucene:</p> <pre><code>IndexWriter writer = new IndexWriter(new RAMDirectory(), new IndexWriterConfig(Version.LUCENE_36, new WhitespaceAnalyzer(Version.LUCENE_36))); Document doc = new Document(); doc.add(new Field("content","Temp 0 New n/a", Store.YES, Index.ANALYZED)); writer.addDocument(doc); writer.commit(); IndexReader reader = IndexReader.open(writer, true); IndexSearcher searcher = new IndexSearcher(reader); BooleanQuery query = new BooleanQuery(); QueryParser parser = new QueryParser(Version.LUCENE_36, "content", new WhitespaceAnalyzer(Version.LUCENE_36)); TopDocs docs = searcher.search(parser.parse("+n/a"), 10); System.out.println(docs.totalHits); writer.close(); </code></pre> <p>The output is: <code>1</code>.</p>
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    1. COnow i understood what exactly is happening in my app because of the StandardAnalyzer. Is there any way that we can override the stopwords (i need to remove 'a' from stopword list) ? Or any other suggestion to resolve this issue would be highly appreciated....
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    2. COI've just edited the answer and gave a possible solution. I hope it helps!
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