Databases
StackOverflow2013
Postsdbo
PO
 

Note that there are some explanatory texts on larger screens.

plurals
  1. PO
    primarykey
    data
    text
    <p>Actually, yes, there is an analyzer that does that. <a href="http://lucene.apache.org/core/4_4_0/analyzers-common/org/apache/lucene/analysis/core/SimpleAnalyzer.html" rel="nofollow"><code>SimpleAnalyzer</code></a>. </p> <hr> <p>The following does (almost) exactly the same thing:</p> <pre><code>Analyzer analyzer = new Analyzer() { @Override protected TokenStreamComponents createComponents(String fieldName, Reader reader) { Tokenizer source = new LetterTokenizer(Version.LUCENE_44, reader); TokenStream filter = new LowercaseFilter(Version.LUCENE_44, source); return new TokenStreamComponents(source, filter); } }; </code></pre> <p>When you have very specific requirements for an Analyzer, often you'll need to design your own by chaining a Tokenizer and some Filters like this, and as shown in the <a href="http://lucene.apache.org/core/4_0_0/core/org/apache/lucene/analysis/Analyzer.html" rel="nofollow"><code>Analyzer</code> documentation</a> <a href="http://lucene.apache.org/core/4_4_0/analyzers-common/org/apache/lucene/analysis/core/LetterTokenizer.html" rel="nofollow"><code>LetterTokenizer</code></a> defines a token as a maximal string of adjacent letters, and <a href="http://lucene.apache.org/core/4_4_0/analyzers-common/org/apache/lucene/analysis/core/LowerCaseFilter.html" rel="nofollow"><code>LowercaseFilter</code></a> does what it says on the tin.</p> <p>This is a fairly common combination, so there is also <a href="http://lucene.apache.org/core/3_3_0/api/core/org/apache/lucene/analysis/LowerCaseTokenizer.html" rel="nofollow">LowercaseTokenizer</a> which does the job of both LowercaseFilter and LetterTokenizer in one step, and thus provides a performance advantage. <code>LowercaseTokenizer</code> is what is actually used by <code>SimpleAnalyzer</code></p>
    singulars
    1. This table or related slice is empty.
    1. POIs there a Lucene Analyzer that removes all the non letters and converts all uppercase to lowercase?
      singulars
      1. PTQuestion
    1. PTAnswer
    1. USfemtoRgon
    1. USfemtoRgon
    plurals
    1. This table or related slice is empty.
    1. This table or related slice is empty.
    1. POIs there a Lucene Analyzer that removes all the non letters and converts all uppercase to lowercase?
      singulars
      1. PTQuestion
    1. This table or related slice is empty.
    1. VO
      singulars
      1. PO
      1. This table or related slice is empty.
      1. VTUpMod
    2. VO
      singulars
      1. PO
      1. This table or related slice is empty.
      1. VTUpMod
    3. VO
      singulars
      1. PO
      1. This table or related slice is empty.
      1. VTAcceptedByOriginator
    1. COI am just curious. Why did you say 'almost exactly' for the analyzer that you provided?
      singulars
      1. PO
      1. USyns
    2. CO@yns For the reason in the last paragraph. The results are exactly the same, but `SimpleAnalyzer` doesn't actually chain `LetterTokenizer` and `LowercaseFilter`, but rather it just uses `LowercaseTokenizer`, which performs a bit better.
      singulars
      1. PO
      1. USfemtoRgon
    3. COthanks for the answer!
      singulars
      1. PO
      1. USyns
 

Querying!

 
Guidance
A row detail

Detail views are divided into sections. All the information in the data section comes from columns in the selected row. The other sections display data from other, related rows.

Related data can be related in a to-one or a to-many fashion. Captions of data related in a to-many fashion link to a list view showing a filtered view of the table.

Try moving around until you find a non-empty to-many entry and click on the label to get to one. You can move back to the root by clicking on the database name in the header.

SQuiL has stopped working due to an internal error.

If you are curious you may find further information in the browser console, which is accessible through the devtools (F12).

Reload