C# (CSharp) Lucene.Net.Analysis.Miscellaneous Пространство имен

Классы

Имя Описание
ASCIIFoldingFilter This class converts alphabetic, numeric, and symbolic Unicode characters which are not in the first 127 ASCII characters (the "Basic Latin" Unicode block) into their ASCII equivalents, if one exists. Characters from the following Unicode blocks are converted; however, only those characters with reasonable ASCII alternatives are converted: See: http://en.wikipedia.org/wiki/Latin_characters_in_Unicode For example, 'à' will be replaced by 'a'.
ASCIIFoldingFilterFactory Factory for ASCIIFoldingFilter.
 <fieldType name="text_ascii" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.ASCIIFoldingFilterFactory" preserveOriginal="false"/> </analyzer> </fieldType>
CapitalizationFilter A filter to apply normal capitalization rules to Tokens. It will make the first letter capital and the rest lower case.

This filter is particularly useful to build nice looking facet parameters. This filter is not appropriate if you intend to use a prefix query.

CapitalizationFilterFactory Factory for CapitalizationFilter.

The factory takes parameters:
"onlyFirstWord" - should each word be capitalized or all of the words?
"keep" - a keep word list. Each word that should be kept separated by whitespace.
"keepIgnoreCase - true or false. If true, the keep list will be considered case-insensitive.
"forceFirstLetter" - Force the first letter to be capitalized even if it is in the keep list
"okPrefix" - do not change word capitalization if a word begins with something in this list. for example if "McK" is on the okPrefix list, the word "McKinley" should not be changed to "Mckinley"
"minWordLength" - how long the word needs to be to get capitalization applied. If the minWordLength is 3, "and" > "And" but "or" stays "or"
"maxWordCount" - if the token contains more then maxWordCount words, the capitalization is assumed to be correct.

 <fieldType name="text_cptlztn" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.CapitalizationFilterFactory" onlyFirstWord="true" keep="java solr lucene" keepIgnoreCase="false" okPrefix="McK McD McA"/>    </analyzer> </fieldType>
@since solr 1.3
CodepointCountFilter Removes words that are too long or too short from the stream.

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

CodepointCountFilterFactory Factory for CodepointCountFilter.
 <fieldType name="text_lngth" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.CodepointCountFilterFactory" min="0" max="1" /> </analyzer> </fieldType>
EmptyTokenStream An always exhausted token stream
HyphenatedWordsFilterFactory Factory for HyphenatedWordsFilter.
 <fieldType name="text_hyphn" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.HyphenatedWordsFilterFactory"/> </analyzer> </fieldType>
InjectablePrefixAwareTokenFilter
KeepWordFilter A TokenFilter that only keeps tokens with text contained in the required words. This filter behaves like the inverse of StopFilter. @since solr 1.3
KeepWordFilterFactory Factory for KeepWordFilter.
 <fieldType name="text_keepword" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.KeepWordFilterFactory" words="keepwords.txt" ignoreCase="false"/> </analyzer> </fieldType>
KeywordMarkerFilterFactory Factory for KeywordMarkerFilter.
 <fieldType name="text_keyword" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.KeywordMarkerFilterFactory" protected="protectedkeyword.txt" pattern="^.+er$" ignoreCase="false"/> </analyzer> </fieldType>
KeywordRepeatFilterFactory Factory for KeywordRepeatFilter. Since KeywordRepeatFilter emits two tokens for every input token, and any tokens that aren't transformed later in the analysis chain will be in the document twice. Therefore, consider adding RemoveDuplicatesTokenFilterFactory later in the analysis chain.
LengthFilter Removes words that are too long or too short from the stream.

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

LengthFilterFactory Factory for LengthFilter.
 <fieldType name="text_lngth" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.LengthFilterFactory" min="0" max="1" /> </analyzer> </fieldType>
LimitTokenCountFilter This TokenFilter limits the number of tokens while indexing. It is a replacement for the maximum field length setting inside org.apache.lucene.index.IndexWriter.

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.

LimitTokenPositionFilter This TokenFilter limits its emitted tokens to those with positions that are not greater than the configured limit.

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.

LimitTokenPositionFilterFactory Factory for LimitTokenPositionFilter.
 <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.

Lucene47WordDelimiterFilter
Lucene47WordDelimiterFilter.WordDelimiterConcatenation A WDF concatenated 'run'
PatternAnalyzer
PatternAnalyzer.FastStringReader
PatternAnalyzer.FastStringTokenizer
PatternAnalyzer.RegexTokenizer
PatternAnalyzerTest Verifies the behavior of PatternAnalyzer.
PerFieldAnalyzerWrapper This analyzer is used to facilitate scenarios where different fields Require different analysis techniques. Use the Map argument in #PerFieldAnalyzerWrapper(Analyzer, java.util.Map) to add non-default analyzers for fields.

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.

PrefixAndSuffixAwareTokenFilter Links two PrefixAwareTokenFilter.

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.

PrefixAndSuffixAwareTokenFilter.PrefixAwareTokenFilterAnonymousInnerClassHelper
PrefixAndSuffixAwareTokenFilter.PrefixAwareTokenFilterAnonymousInnerClassHelper2
PrefixAwareTokenFilter Joins two token streams and leaves the last token of the first stream available to be used when updating the token values in the second stream based on that token. The default implementation adds last prefix token end offset to the suffix token start and end offsets.

NOTE: This filter might not behave correctly if used with custom Attributes, i.e. Attributes other than the ones located in Lucene.Net.Analysis.TokenAttributes.

RemoveDuplicatesTokenFilter A TokenFilter which filters out Tokens at the same position and Term text as the previous token in the stream.
RemoveDuplicatesTokenFilterFactory Factory for RemoveDuplicatesTokenFilter.
 <fieldType name="text_rmdup" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.RemoveDuplicatesTokenFilterFactory"/> </analyzer> </fieldType>
ScandinavianFoldingFilter This filter folds Scandinavian characters åÅäæÄÆ->a and öÖøØ->o. It also discriminate against use of double vowels aa, ae, ao, oe and oo, leaving just the first one.

It's is a semantically more destructive solution than ScandinavianNormalizationFilter but can in addition help with matching raksmorgas as räksmörgås.

blåbærsyltetøj == blåbärsyltetöj == blaabaarsyltetoej == blabarsyltetoj räksmörgås == ræksmørgås == ræksmörgaos == raeksmoergaas == raksmorgas

Background: Swedish åäö are in fact the same letters as Norwegian and Danish åæø and thus interchangeable when used between these languages. They are however folded differently when people type them on a keyboard lacking these characters.

In that situation almost all Swedish people use a, a, o instead of å, ä, ö.

Norwegians and Danes on the other hand usually type aa, ae and oe instead of å, æ and ø. Some do however use a, a, o, oo, ao and sometimes permutations of everything above.

This filter solves that mismatch problem, but might also cause new.

ScandinavianFoldingFilterFactory Factory for ScandinavianFoldingFilter.
 <fieldType name="text_scandfold" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.ScandinavianFoldingFilterFactory"/> </analyzer> </fieldType>
ScandinavianNormalizationFilter This filter normalize use of the interchangeable Scandinavian characters æÆäÄöÖøØ and folded variants (aa, ao, ae, oe and oo) by transforming them to åÅæÆøØ.

It's a semantically less destructive solution than ScandinavianFoldingFilter, most useful when a person with a Norwegian or Danish keyboard queries a Swedish index and vice versa. This filter does not the common Swedish folds of å and ä to a nor ö to o.

blåbærsyltetøj == blåbärsyltetöj == blaabaarsyltetoej but not blabarsyltetoj räksmörgås == ræksmørgås == ræksmörgaos == raeksmoergaas but not raksmorgas

ScandinavianNormalizationFilterFactory Factory for org.apache.lucene.analysis.miscellaneous.ScandinavianNormalizationFilter.
 <fieldType name="text_scandnorm" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.ScandinavianNormalizationFilterFactory"/> </analyzer> </fieldType>
SetKeywordMarkerFilter Marks terms as keywords via the KeywordAttribute. Each token contained in the provided set is marked as a keyword by setting KeywordAttribute#setKeyword(boolean) to true.
SingleTokenTokenStream A TokenStream containing a single token.
StemmerOverrideFilter Provides the ability to override any KeywordAttribute aware stemmer with custom dictionary-based stemming.
StemmerOverrideFilter.Builder This builder builds an FST for the StemmerOverrideFilter
StemmerOverrideFilter.StemmerOverrideMap A read-only 4-byte FST backed map that allows fast case-insensitive key value lookups for StemmerOverrideFilter
StemmerOverrideFilterFactory Factory for StemmerOverrideFilter.
 <fieldType name="text_dicstem" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.StemmerOverrideFilterFactory" dictionary="dictionary.txt" ignoreCase="false"/> </analyzer> </fieldType>
TestASCIIFoldingFilter
TestASCIIFoldingFilter.AnalyzerAnonymousInnerClassHelper
TestASCIIFoldingFilter.AnalyzerAnonymousInnerClassHelper2
TestCapitalizationFilter Tests CapitalizationFilter
TestCapitalizationFilter.AnalyzerAnonymousInnerClassHelper
TestCapitalizationFilter.AnalyzerAnonymousInnerClassHelper2
TestCapitalizationFilterFactory
TestCodepointCountFilter
TestCodepointCountFilter.AnalyzerAnonymousInnerClassHelper
TestCodepointCountFilterFactory
TestEmptyTokenStream
TestHyphenatedWordsFilter HyphenatedWordsFilter test
TestHyphenatedWordsFilter.AnalyzerAnonymousInnerClassHelper
TestHyphenatedWordsFilter.AnalyzerAnonymousInnerClassHelper2
TestKeepFilterFactory
TestKeepWordFilter Test KeepWordFilter
TestKeepWordFilter.AnalyzerAnonymousInnerClassHelper
TestKeywordMarkerFilter Testcase for KeywordMarkerFilter
TestKeywordMarkerFilter.LowerCaseFilterMock
TestLengthFilter
TestLengthFilter.AnalyzerAnonymousInnerClassHelper
TestLengthFilterFactory
TestLimitTokenCountAnalyzer_
TestLimitTokenCountFilter
TestLimitTokenCountFilterFactory
TestLimitTokenPositionFilter
TestLimitTokenPositionFilter.AnalyzerAnonymousInnerClassHelper
TestLimitTokenPositionFilterFactory
TestLucene47WordDelimiterFilter
TestLucene47WordDelimiterFilter.AnalyzerAnonymousInnerClassHelper
TestLucene47WordDelimiterFilter.AnalyzerAnonymousInnerClassHelper2
TestLucene47WordDelimiterFilter.AnalyzerAnonymousInnerClassHelper3
TestLucene47WordDelimiterFilter.AnalyzerAnonymousInnerClassHelper4
TestLucene47WordDelimiterFilter.AnalyzerAnonymousInnerClassHelper5
TestLucene47WordDelimiterFilter.LargePosIncTokenFilter
TestPerFieldAnalyzerWrapper
TestPerFieldAnalyzerWrapper.AnalyzerAnonymousInnerClassHelper
TestPrefixAndSuffixAwareTokenFilter
TestPrefixAwareTokenFilter
TestRemoveDuplicatesTokenFilter
TestRemoveDuplicatesTokenFilter.AnalyzerAnonymousInnerClassHelper
TestRemoveDuplicatesTokenFilter.AnalyzerAnonymousInnerClassHelper2
TestRemoveDuplicatesTokenFilter.TokenStreamAnonymousInnerClassHelper
TestRemoveDuplicatesTokenFilterFactory Simple tests to ensure this factory is working
TestScandinavianFoldingFilterFactory Copyright 2004 The Apache Software Foundation Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
TestScandinavianNormalizationFilter
TestScandinavianNormalizationFilter.AnalyzerAnonymousInnerClassHelper
TestScandinavianNormalizationFilter.AnalyzerAnonymousInnerClassHelper2
TestScandinavianNormalizationFilterFactory Copyright 2004 The Apache Software Foundation Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
TestStemmerOverrideFilter
TestStemmerOverrideFilterFactory Simple tests to ensure the stemmer override filter factory is working.
TestTrimFilter
TestTrimFilter.AnalyzerAnonymousInnerClassHelper
TestTrimFilter.AnalyzerAnonymousInnerClassHelper2
TestTrimFilter.AnalyzerAnonymousInnerClassHelper3
TestTrimFilter.IterTokenStream
TestTrimFilterFactory Simple tests to ensure this factory is working
TestTruncateTokenFilterFactory Simple tests to ensure the simple truncation filter factory is working.
TestWordDelimiterFilter New WordDelimiterFilter tests... most of the tests are in ConvertedLegacyTest TODO: should explicitly test things like protWords and not rely on the factory tests in Solr.
TestWordDelimiterFilter.AnalyzerAnonymousInnerClassHelper
TestWordDelimiterFilter.AnalyzerAnonymousInnerClassHelper2
TestWordDelimiterFilter.AnalyzerAnonymousInnerClassHelper3
TestWordDelimiterFilter.AnalyzerAnonymousInnerClassHelper4
TestWordDelimiterFilter.AnalyzerAnonymousInnerClassHelper5
TestWordDelimiterFilter.AnalyzerAnonymousInnerClassHelper6
TestWordDelimiterFilter.AnalyzerAnonymousInnerClassHelper7
TestWordDelimiterFilter.AnalyzerAnonymousInnerClassHelper8
TestWordDelimiterFilter.LargePosIncTokenFilter
TrimFilter Trims leading and trailing whitespace from Tokens in the stream.

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

TrimFilterFactory Factory for TrimFilter.
 <fieldType name="text_trm" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.NGramTokenizerFactory"/> <filter class="solr.TrimFilterFactory" /> </analyzer> </fieldType>
TruncateTokenFilter A token filter for truncating the terms into a specific length. Fixed prefix truncation, as a stemming method, produces good results on Turkish language. It is reported that F5, using first 5 characters, produced best results in Information Retrieval on Turkish Texts
WordDelimiterFilter Splits words into subwords and performs optional transformations on subword groups. Words are split into subwords with the following rules:
  • 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.
The combinations parameter affects how subwords are combined:
  • 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"
One use for WordDelimiterFilter is to help match words with different subword delimiters. For example, if the source text contained "wi-fi" one may want "wifi" "WiFi" "wi-fi" "wi+fi" queries to all match. One way of doing so is to specify combinations="1" in the analyzer used for indexing, and combinations="0" (the default) in the analyzer used for querying. Given that the current StandardTokenizer immediately removes many intra-word delimiters, it is recommended that this filter be used after a tokenizer that does not do this (such as WhitespaceTokenizer).
WordDelimiterFilter.OffsetSorter
WordDelimiterFilter.WordDelimiterConcatenation A WDF concatenated 'run'
WordDelimiterFilterFactory Factory for WordDelimiterFilter.
 <fieldType name="text_wd" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.WordDelimiterFilterFactory" protected="protectedword.txt" preserveOriginal="0" splitOnNumerics="1" splitOnCaseChange="1" catenateWords="0" catenateNumbers="0" catenateAll="0" generateWordParts="1" generateNumberParts="1" stemEnglishPossessive="1" types="wdfftypes.txt" /> </analyzer> </fieldType>
WordDelimiterIterator A BreakIterator-like API for iterating over subwords in text, according to WordDelimiterFilter rules. @lucene.internal