C# (CSharp) org.apache.lucene.analysis.miscellaneous 네임스페이스

Note: Length is calculated as the number of Unicode codepoints.

 <fieldType name="text_lngth" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.CodepointCountFilterFactory" min="0" max="1" /> </analyzer> </fieldType>

 <fieldtype name="text" class="solr.TextField" positionIncrementGap="100"> <analyzer type="index"> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.SynonymFilterFactory" synonyms="index_synonyms.txt" ignoreCase="true" expand="false"/> <filter class="solr.StopFilterFactory" ignoreCase="true"/> <filter class="solr.HyphenatedWordsFilterFactory"/> <filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="1" catenateNumbers="1" catenateAll="0"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.RemoveDuplicatesTokenFilterFactory"/> </analyzer> <analyzer type="query"> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/> <filter class="solr.StopFilterFactory" ignoreCase="true"/> <filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="0" catenateNumbers="0" catenateAll="0"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.RemoveDuplicatesTokenFilterFactory"/> </analyzer> </fieldtype> 

 <fieldType name="text_hyphn" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.HyphenatedWordsFilterFactory"/> </analyzer> </fieldType>

Note: Length is calculated as the number of UTF-16 code units.

 <fieldType name="text_lngth" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.LengthFilterFactory" min="0" max="1" /> </analyzer> </fieldType>

By default, this filter ignores any tokens in the wrapped {@code TokenStream} once the limit has been reached, which can result in {@code reset()} being called prior to {@code incrementToken()} returning {@code false}. For most {@code TokenStream} implementations this should be acceptable, and faster then consuming the full stream. If you are wrapping a {@code TokenStream} which requires that the full stream of tokens be exhausted in order to function properly, use the #LimitTokenCountFilter(TokenStream,int,boolean) consumeAllTokens option.

 <fieldType name="text_lngthcnt" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.LimitTokenCountFilterFactory" maxTokenCount="10" consumeAllTokens="false" /> </analyzer> </fieldType>

The {@code consumeAllTokens} property is optional and defaults to {@code false}. See LimitTokenCountFilter for an explanation of it's use.

By default, this filter ignores any tokens in the wrapped {@code TokenStream} once the limit has been exceeded, which can result in {@code reset()} being called prior to {@code incrementToken()} returning {@code false}. For most {@code TokenStream} implementations this should be acceptable, and faster then consuming the full stream. If you are wrapping a {@code TokenStream} which requires that the full stream of tokens be exhausted in order to function properly, use the #LimitTokenPositionFilter(TokenStream,int,boolean) consumeAllTokens option.

 <fieldType name="text_limit_pos" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.LimitTokenPositionFilterFactory" maxTokenPosition="3" consumeAllTokens="false" /> </analyzer> </fieldType>

The {@code consumeAllTokens} property is optional and defaults to {@code false}. See LimitTokenPositionFilter for an explanation of its use.

Example usage:

 {@code Map analyzerPerField = new HashMap<>(); analyzerPerField.put("firstname", new KeywordAnalyzer()); analyzerPerField.put("lastname", new KeywordAnalyzer()); PerFieldAnalyzerWrapper aWrapper = new PerFieldAnalyzerWrapper(new StandardAnalyzer(version), analyzerPerField); } 

In this example, StandardAnalyzer will be used for all fields except "firstname" and "lastname", for which KeywordAnalyzer will be used.

A PerFieldAnalyzerWrapper can be used like any other analyzer, for both indexing and query parsing.

NOTE: This filter might not behave correctly if used with custom Attributes, i.e. Attributes other than the ones located in org.apache.lucene.analysis.tokenattributes.

NOTE: This filter might not behave correctly if used with custom Attributes, i.e. Attributes other than the ones located in org.apache.lucene.analysis.tokenattributes.

As of Lucene 4.4, this filter does not support updateOffsets=true anymore as it can lead to broken token streams.

 <fieldType name="text_trm" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.NGramTokenizerFactory"/> <filter class="solr.TrimFilterFactory" /> </analyzer> </fieldType>

• split on intra-word delimiters (by default, all non alpha-numeric characters): "Wi-Fi" → "Wi", "Fi"
• split on case transitions: "PowerShot" → "Power", "Shot"
• split on letter-number transitions: "SD500" → "SD", "500"
• leading and trailing intra-word delimiters on each subword are ignored: "//hello---there, 'dude'" → "hello", "there", "dude"
• trailing "'s" are removed for each subword: "O'Neil's" → "O", "Neil"
  • Note: this step isn't performed in a separate filter because of possible subword combinations.

• combinations="0" causes no subword combinations: "PowerShot" → 0:"Power", 1:"Shot" (0 and 1 are the token positions)
• combinations="1" means that in addition to the subwords, maximum runs of non-numeric subwords are catenated and produced at the same position of the last subword in the run:
  • "PowerShot" → 0:"Power", 1:"Shot" 1:"PowerShot"
  • "A's+B's&C's" -gt; 0:"A", 1:"B", 2:"C", 2:"ABC"
  • "Super-Duper-XL500-42-AutoCoder!" → 0:"Super", 1:"Duper", 2:"XL", 2:"SuperDuperXL", 3:"500" 4:"42", 5:"Auto", 6:"Coder", 6:"AutoCoder"