Filters

Filters examine a stream of tokens and keep them, transform them, or discard them depending on the filter type being used.

About Filters

Like tokenizers, filters consume input and produce a stream of tokens. Filters also derive from org.apache.lucene.analysis.TokenStream but unlike tokenizers, a filter’s input is another TokenStream. The job of a filter is usually easier than that of a tokenizer since in most cases a filter looks at each token in the stream sequentially and decides whether to pass it along, replace it, or discard it.

A filter may also do more complex analysis by looking ahead to consider multiple tokens at once, although this is less common. One hypothetical use for such a filter might be to normalize state names that would be tokenized as two words. For example, the single token "california" would be replaced with "CA", while the token pair "rhode" followed by "island" would become the single token "RI".

Because filters consume one TokenStream and produce a new TokenStream, they can be chained one after another indefinitely. Each filter in the chain in turn processes the tokens produced by its predecessor. The order in which you specify the filters is therefore significant. Typically, the most general filtering is done first, and later filtering stages are more specialized.

Filter Configuration

Filters are configured with a <filter> element in the schema file as a child of <analyzer>, following the <tokenizer> element.

For example:

With name

<fieldType name="text" class="solr.TextField">
  <analyzer>
    <tokenizer name="standard"/>
    <filter name="lowercase"/>
    <filter name="englishPorter"/>
  </analyzer>
</fieldType>

With class name (legacy)

<fieldType name="text" class="solr.TextField">
  <analyzer>
    <tokenizer class="solr.StandardTokenizerFactory"/>
    <filter class="solr.LowerCaseFilterFactory"/>
    <filter class="solr.EnglishPorterFilterFactory"/>
  </analyzer>
</fieldType>

This example starts with Solr’s standard tokenizer, which breaks the field’s text into tokens. All the tokens are then set to lowercase, which will facilitate case-insensitive matching at query time.

The last filter in the above example is a stemmer filter that uses the Porter stemming algorithm.

Stemming

A stemmer is basically a set of mapping rules that maps the various forms of a word back to the base, or stem, word from which they derive.

For example, in English the words "hugs", "hugging" and "hugged" are all forms of the stem word "hug". The stemmer will replace all of these terms with "hug", which is what will be indexed. This means that a query for "hug" will match the term "hugged", but not "huge".

Conversely, applying a stemmer to your query terms will allow queries containing non-stemmed terms, like "hugging", to match documents with different variations of the same stem word, such as "hugged". This works because both the indexer and the query will map to the same stem ("hug").

Word stemming is, obviously, very language specific. Solr includes several language-specific stemmers created by the Snowball generator that are based on the Porter stemming algorithm. The generic Snowball Porter Stemmer Filter can be used to configure any of these language stemmers. Solr also includes a convenience wrapper for the English Snowball stemmer. There are also several purpose-built stemmers for non-English languages. These stemmers are described in Language Analysis.

Filters with Arguments

Arguments may be passed to tokenizer factories to modify their behavior by setting attributes on the <filter> element. For example:

With name

<fieldType name="semicolonDelimited" class="solr.TextField">
  <analyzer type="query">
    <tokenizer name="pattern" pattern="; " />
    <filter name="length" min="2" max="7"/>
  </analyzer>
</fieldType>

With class name (legacy)

<fieldType name="semicolonDelimited" class="solr.TextField">
  <analyzer type="query">
    <tokenizer class="solr.PatternTokenizerFactory" pattern="; " />
    <filter class="solr.LengthFilterFactory" min="2" max="7"/>
  </analyzer>
</fieldType>

The following sections describe the filter factories that are included in this release of Solr.

ASCII Folding Filter

This filter converts alphabetic, numeric, and symbolic Unicode characters which are not in the Basic Latin Unicode block (the first 127 ASCII characters) to their ASCII equivalents, if one exists. This filter converts characters from the following Unicode blocks:

C1 Controls and Latin-1 Supplement (PDF)
Latin Extended-A (PDF)
Latin Extended-B (PDF)
Latin Extended Additional (PDF)
Latin Extended-C (PDF)
Latin Extended-D (PDF)
IPA Extensions (PDF)
Phonetic Extensions (PDF)
Phonetic Extensions Supplement (PDF)
General Punctuation (PDF)
Superscripts and Subscripts (PDF)
Enclosed Alphanumerics (PDF)
Dingbats (PDF)
Supplemental Punctuation (PDF)
Alphabetic Presentation Forms (PDF)
Halfwidth and Fullwidth Forms (PDF)

Factory class: solr.ASCIIFoldingFilterFactory

Arguments:

preserveOriginal

Optional

Default: false

If true, the original token is preserved: "thé" → "the", "thé"

Example:

With name

<analyzer>
  <tokenizer name="whitespace"/>
  <filter name="asciiFolding" preserveOriginal="false" />
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.WhitespaceTokenizer"/>
  <filter class="solr.ASCIIFoldingFilterFactory" preserveOriginal="false" />
</analyzer>

In: "á" (Unicode character 00E1)

Out: "a" (ASCII character 97)

Beider-Morse Filter

Implements the Beider-Morse Phonetic Matching (BMPM) algorithm, which allows identification of similar names, even if they are spelled differently or in different languages. More information about how this works is available in the section Beider-Morse Phonetic Matching.

BeiderMorseFilter changed its behavior in Solr 5.0 due to an update to version 3.04 of the BMPM algorithm. Older version of Solr implemented BMPM version 3.00 (see http://stevemorse.org/phoneticinfo.htm). Any index built using this filter with earlier versions of Solr will need to be rebuilt.

Factory class: solr.BeiderMorseFilterFactory

Arguments:

nameType

Optional

Default: GENERIC

Types of names. Valid values are GENERIC, ASHKENAZI, or SEPHARDIC. If not processing Ashkenazi or Sephardic names, use GENERIC.

ruleType

Optional

Default: APPROX

Types of rules to apply. Valid values are APPROX or EXACT.

concat

Optional

Default: true

Defines if multiple possible matches should be combined with a pipe (|).

languageSet

Optional

Default: auto

The language set to use. The value auto will allow the filter to identify the language, or a comma-separated list can be supplied.

Example:

With name

<analyzer>
  <tokenizer name="standard"/>
  <filter name="beiderMorse" nameType="GENERIC" ruleType="APPROX" concat="true" languageSet="auto"/>
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.StandardTokenizerFactory"/>
  <filter class="solr.BeiderMorseFilterFactory" nameType="GENERIC" ruleType="APPROX" concat="true" languageSet="auto"/>
</analyzer>

Classic Filter

This filter takes the output of the Classic Tokenizer and strips periods from acronyms and "'s" from possessives.

Factory class: solr.ClassicFilterFactory

Arguments: None

Example:

With name

<analyzer>
  <tokenizer name="classic"/>
  <filter name="classic"/>
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.ClassicTokenizerFactory"/>
  <filter class="solr.ClassicFilterFactory"/>
</analyzer>

In: "I.B.M. cat’s can’t"

Tokenizer to Filter: "I.B.M", "cat’s", "can’t"

Out: "IBM", "cat", "can’t"

Common Grams Filter

This filter for use in index time analysis creates word shingles by combining common tokens such as stop words with regular tokens. This can result in an index with more unique terms, but is useful for creating phrase queries containing common words, such as "the cat", in a way that will typically be much faster than if the combined tokens are not used, because only the term positions of documents containing both terms in sequence have to be considered. Correct usage requires being paired with Common Grams Query Filter during query analysis.

These filters can also be combined with Stop Filter so searching for "the cat" would match different documents then "a cat", while pathological searches for either "the" or "a" would not match any documents.

Factory class: solr.CommonGramsFilterFactory

Arguments:

words

Required

Default: none

The name of a common word file in .txt format, such as stopwords.txt.

format

Optional

Default: none

If the stopwords list has been formatted for Snowball, you can specify format="snowball" so Solr can read the stopwords file.

ignoreCase

Optional

Default: false

If true, the filter ignores the case of words when comparing them to the common word file.

Example:

With name

<analyzer type="index">
  <tokenizer name="whitespace"/>
  <filter name="commonGrams" words="stopwords.txt" ignoreCase="true"/>
</analyzer>
<analyzer type="query">
  <tokenizer name="whitespace"/>
  <filter name="commonGramsQuery" words="stopwords.txt" ignoreCase="true"/>
</analyzer>

With class name (legacy)

<analyzer type="index">
  <tokenizer class="solr.WhitespaceTokenizerFactory"/>
  <filter class="solr.CommonGramsFilterFactory" words="stopwords.txt" ignoreCase="true"/>
</analyzer>
<analyzer type="query">
  <tokenizer class="solr.WhitespaceTokenizerFactory"/>
  <filter class="solr.CommonGramsQueryFilterFactory" words="stopwords.txt" ignoreCase="true"/>
</analyzer>

In: "the cat in the hat"

Tokenizer to Filter(s): "the", "cat", "in", "the", "hat"

(Index) Out: "the"(1), "the_cat"(1), "cat"(2), "cat_in"(2), "in"(3), "in_the"(3), "the"(4), "the_hat"(4), "hat"(5)

(Query) Out: "the_cat"(1), "cat_in"(2), "in_the"(3), "the_hat"(4)

Common Grams Query Filter

This filter is used for the query time analysis aspect of Common Grams Filter — see that filter for a description of arguments, example configuration, and sample input/output.

Collation Key Filter

Collation allows sorting of text in a language-sensitive way. It is usually used for sorting, but can also be used with advanced searches. We’ve covered this in much more detail in the section on Unicode Collation.

Daitch-Mokotoff Soundex Filter

Implements the Daitch-Mokotoff Soundex algorithm, which allows identification of similar names, even if they are spelled differently. More information about how this works is available in the section on Phonetic Matching.

Factory class: solr.DaitchMokotoffSoundexFilterFactory

Arguments:

inject

Optional

Default: true

If true, then new phonetic tokens are added to the stream. Otherwise, tokens are replaced with the phonetic equivalent. Setting this to false will enable phonetic matching, but the exact spelling of the target word may not match.

Example:

With name

<analyzer>
  <tokenizer name="standard"/>
  <filter name="daitchMokotoffSoundex" inject="true"/>
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.StandardTokenizerFactory"/>
  <filter class="solr.DaitchMokotoffSoundexFilterFactory" inject="true"/>
</analyzer>

Double Metaphone Filter

This filter creates tokens using the DoubleMetaphone encoding algorithm from commons-codec. For more information, see Phonetic Matching.

Factory class: solr.DoubleMetaphoneFilterFactory

Arguments:

inject

Optional

Default: true

maxCodeLength

Optional

Default: none

The maximum length of the code to be generated.

Example:

Default behavior for inject (true): keep the original token and add phonetic token(s) at the same position.

With name

<analyzer>
  <tokenizer name="standard"/>
  <filter name="doubleMetaphone"/>
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.StandardTokenizerFactory"/>
  <filter class="solr.DoubleMetaphoneFilterFactory"/>
</analyzer>

In: "four score and Kuczewski"

Tokenizer to Filter: "four"(1), "score"(2), "and"(3), "Kuczewski"(4)

Out: "four"(1), "FR"(1), "score"(2), "SKR"(2), "and"(3), "ANT"(3), "Kuczewski"(4), "KSSK"(4), "KXFS"(4)

The phonetic tokens have a position increment of 0, which indicates that they are at the same position as the token they were derived from (immediately preceding). Note that "Kuczewski" has two encodings, which are added at the same position.

Example:

Discard original token (inject="false").

<analyzer>
  <tokenizer name="standard"/>
  <filter name="doubleMetaphone" inject="false"/>
</analyzer>

In: "four score and Kuczewski"

Tokenizer to Filter: "four"(1), "score"(2), "and"(3), "Kuczewski"(4)

Out: "FR"(1), "SKR"(2), "ANT"(3), "KSSK"(4), "KXFS"(4)

Note that "Kuczewski" has two encodings, which are added at the same position.

Delimited Boost Filter

This filter adds a numeric floating point boost value to tokens, splitting on a delimiter character.

Factory class: solr.DelimitedBoostTokenFilterFactory

Arguments:

delimiter

Optional

Default: | (pipe symbol)

The character used to separate the token and the boost.

Example:

With name

<analyzer>
  <tokenizer name="standard"/>
  <filter name="delimitedBoost"/>
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.StandardTokenizerFactory"/>
  <filter class="solr.DelimitedBoostTokenFilterFactory"/>
</analyzer>

In: "leopard|0.5 panthera uncia|0.9"

Tokenizer to Filter: "leopard|0.5"(1), "panthera"(2), "uncia|0.9"(3)

Out: "leopard"(1)[0.5], "panthera"(2), "uncia"(3)[0.9]

The numeric floating point in square brackets is a float token boost attribute.

Example:

Using a different delimiter (delimiter="/").

<analyzer>
  <tokenizer name="standard"/>
  <filter name="delimitedBoost" delimiter="/"/>
</analyzer>

In: "leopard/0.5 panthera uncia/0.9"

Tokenizer to Filter: "leopard/0.5"(1), "panthera"(2), "uncia/0.9"(3)

Out: "leopard"(1)[0.5], "panthera"(2), "uncia"(3)[0.9]

N.B. make sure the delimiter is compatible with the tokenizer you use

Edge N-Gram Filter

This filter generates edge n-gram tokens of sizes within the given range.

Factory class: solr.EdgeNGramFilterFactory

Arguments:

minGramSize

Required

Default: none

The minimum gram size, must be > 0.

maxGramSize

Required

Default: none

The maximum gram size, must be >= minGramSize.

preserveOriginal

Optional

Default: false

If true keep the original term even if it is shorter than minGramSize or longer than maxGramSize.

Example:

Default behavior.

With name

<analyzer>
  <tokenizer name="standard"/>
  <filter name="edgeNGram" minGramSize="1" maxGramSize="1"/>
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.StandardTokenizerFactory"/>
  <filter class="solr.EdgeNGramFilterFactory" minGramSize="1" maxGramSize="1"/>
</analyzer>

In: "four score and twenty"

Tokenizer to Filter: "four", "score", "and", "twenty"

Out: "f", "s", "a", "t"

Example:

A range of 1 to 4.

<analyzer>
  <tokenizer name="standard"/>
  <filter name="edgeNGram" minGramSize="1" maxGramSize="4"/>
</analyzer>

In: "four score"

Tokenizer to Filter: "four", "score"

Out: "f", "fo", "fou", "four", "s", "sc", "sco", "scor"

Example:

A range of 4 to 6.

<analyzer>
  <tokenizer name="standard"/>
  <filter name="edgeNGram" minGramSize="4" maxGramSize="6"/>
</analyzer>

In: "four score and twenty"

Tokenizer to Filter: "four", "score", "and", "twenty"

Out: "four", "scor", "score", "twen", "twent", "twenty"

Example:

Preserve original term.

<analyzer>
  <tokenizer name="standard"/>
  <filter name="edgeNGram" minGramSize="2" maxGramSize="3" preserveOriginal="true"/>
</analyzer>

In: "four score"

Tokenizer to Filter: "four", "score"

Out: "fo", "fou", "four", "sc, "sco", "score"

English Minimal Stem Filter

This filter stems plural English words to their singular form.

Factory class: solr.EnglishMinimalStemFilterFactory

Arguments: None

Example:

With name

<analyzer type="index">
  <tokenizer name="standard"/>
  <filter name="englishMinimalStem"/>
</analyzer>

With class name (legacy)

<analyzer type="index">
  <tokenizer class="solr.StandardTokenizerFactory"/>
  <filter class="solr.EnglishMinimalStemFilterFactory"/>
</analyzer>

In: "dogs cats"

Tokenizer to Filter: "dogs", "cats"

Out: "dog", "cat"

English Possessive Filter

This filter removes singular possessives (trailing 's) from words. Note that plural possessives, e.g., the s' in "divers' snorkels", are not removed by this filter.

Factory class: solr.EnglishPossessiveFilterFactory

Arguments: None

Example:

With name

<analyzer>
  <tokenizer name="whitespace"/>
  <filter name="englishPossessive"/>
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.WhitespaceTokenizerFactory"/>
  <filter class="solr.EnglishPossessiveFilterFactory"/>
</analyzer>

In: "Man’s dog bites dogs' man"

Tokenizer to Filter: "Man’s", "dog", "bites", "dogs'", "man"

Out: "Man", "dog", "bites", "dogs'", "man"

Fingerprint Filter

This filter outputs a single token which is a concatenation of the sorted and de-duplicated set of input tokens. This can be useful for clustering/linking use cases.

Factory class: solr.FingerprintFilterFactory

Arguments:

separator

Optional

Default: space character

The character used to separate tokens combined into the single output token.

maxOutputTokenSize

Optional

Default: 1024

The maximum length of the summarized output token. If exceeded, no output token is emitted.

Example:

With name

<analyzer type="index">
  <tokenizer name="whitespace"/>
  <filter name="fingerprint" separator="_" />
</analyzer>

With class name (legacy)

<analyzer type="index">
  <tokenizer class="solr.WhitespaceTokenizerFactory"/>
  <filter class="solr.FingerprintFilterFactory" separator="_" />
</analyzer>

In: "the quick brown fox jumped over the lazy dog"

Tokenizer to Filter: "the", "quick", "brown", "fox", "jumped", "over", "the", "lazy", "dog"

Out: "brown_dog_fox_jumped_lazy_over_quick_the"

Flatten Graph Filter

This filter must be included on index-time analyzer specifications that include at least one graph-aware filter, including Synonym Graph Filter and Word Delimiter Graph Filter.

Factory class: solr.FlattenGraphFilterFactory

Arguments: None

See the examples below for Synonym Graph Filter and Word Delimiter Graph Filter.

Hunspell Stem Filter

The Hunspell Stem Filter provides support for several languages. You must provide the dictionary (.dic) and rules (.aff) files for each language you wish to use with the Hunspell Stem Filter. You can download those language files here.

Be aware that your results will vary widely based on the quality of the provided dictionary and rules files. For example, some languages have only a minimal word list with no morphological information. On the other hand, for languages that have no stemmer but do have an extensive dictionary file, the Hunspell stemmer may be a good choice.

Factory class: solr.HunspellStemFilterFactory

Arguments:

dictionary

Required

Default: none

The path to a dictionary file.

affix

Required

Default: none

The path of a rules file.

ignoreCase

Optional

Default: false

Controls whether matching is case sensitive or not.

longestOnly

Optional

Default: false

If true, only the longest term is emitted.

strictAffixParsing

Optional

Default: true

Controls whether the affix parsing is strict or not. If true, an error while reading an affix rule causes a ParseException, otherwise is ignored.

Example:

With name

<analyzer type="index">
  <tokenizer name="whitespace"/>
  <filter name="hunspellStem"
    dictionary="en_GB.dic"
    affix="en_GB.aff"
    ignoreCase="true"
    strictAffixParsing="true" />
</analyzer>

With class name (legacy)

<analyzer type="index">
  <tokenizer class="solr.WhitespaceTokenizerFactory"/>
  <filter class="solr.HunspellStemFilterFactory"
    dictionary="en_GB.dic"
    affix="en_GB.aff"
    ignoreCase="true"
    strictAffixParsing="true" />
</analyzer>

In: "jump jumping jumped"

Tokenizer to Filter: "jump", "jumping", "jumped"

Out: "jump", "jump", "jump"

Hyphenated Words Filter

This filter reconstructs hyphenated words that have been tokenized as two tokens because of a line break or other intervening whitespace in the field test. If a token ends with a hyphen, it is joined with the following token and the hyphen is discarded.

Note that for this filter to work properly, the upstream tokenizer must not remove trailing hyphen characters. This filter is generally only useful at index time.

Factory class: solr.HyphenatedWordsFilterFactory

Arguments: None

Example:

With name

<analyzer type="index">
  <tokenizer name="whitespace"/>
  <filter name="hyphenatedWords"/>
</analyzer>

With class name (legacy)

<analyzer type="index">
  <tokenizer class="solr.WhitespaceTokenizerFactory"/>
  <filter class="solr.HyphenatedWordsFilterFactory"/>
</analyzer>

In: "A hyphen- ated word"

Tokenizer to Filter: "A", "hyphen-", "ated", "word"

Out: "A", "hyphenated", "word"

ICU Folding Filter

This filter is a custom Unicode normalization form that applies the foldings specified in Unicode TR #30: Character Foldings in addition to the NFKC_Casefold normalization form as described in ICU Normalizer 2 Filter. This filter is a better substitute for the combined behavior of the ASCII Folding Filter, Lower Case Filter, and ICU Normalizer 2 Filter.

To use this filter, you must add additional .jars to Solr’s classpath (as described in the section Installing Plugins). See solr/modules/analysis-extras/README.md for instructions on which jars you need to add.

Factory class: solr.ICUFoldingFilterFactory

Arguments:

filter

Optional

Default: none

A Unicode set filter that can be used to e.g., exclude a set of characters from being processed. See the UnicodeSet javadocs for more information.

Example without a filter:

With name

<analyzer>
  <tokenizer name="standard"/>
  <filter name="icuFolding"/>
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.StandardTokenizerFactory"/>
  <filter class="solr.ICUFoldingFilterFactory"/>
</analyzer>

Example with a filter to exclude Swedish/Finnish characters:

<analyzer>
  <tokenizer name="standard"/>
  <filter name="icuFolding" filter="[^åäöÅÄÖ]"/>
</analyzer>

For detailed information on this normalization form, see Unicode TR #30: Character Foldings.

ICU Normalizer 2 Filter

This filter normalizes text according to one of five Unicode Normalization Forms as described in Unicode Standard Annex #15:

NFC: (name="nfc" mode="compose") Normalization Form C, canonical decomposition
NFD: (name="nfc" mode="decompose") Normalization Form D, canonical decomposition, followed by canonical composition
NFKC: (name="nfkc" mode="compose") Normalization Form KC, compatibility decomposition
NFKD: (name="nfkc" mode="decompose") Normalization Form KD, compatibility decomposition, followed by canonical composition
NFKC_Casefold: (name="nfkc_cf" mode="compose") Normalization Form KC, with additional Unicode case folding. Using the ICU Normalizer 2 Filter is a better-performing substitution for the Lower Case Filter and NFKC normalization.

Factory class: solr.ICUNormalizer2FilterFactory

Arguments:

form

Required

Default: nfkc_cf

The name of the normalization form. Valid options are nfc, nfd, nfkc, nfkd, or nfkc_cf.

mode

Required

Default: compose

The mode of Unicode character composition and decomposition. Valid options are: compose or decompose.

filter

Optional

Default: none

A Unicode set filter that can be used to e.g., exclude a set of characters from being processed. See the UnicodeSet javadocs for more information.

Example with NFKC_Casefold:

With name

<analyzer>
  <tokenizer name="standard"/>
  <filter name="icuNormalizer2" form="nfkc_cf" mode="compose"/>
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.StandardTokenizerFactory"/>
  <filter class="solr.ICUNormalizer2FilterFactory" form="nfkc_cf" mode="compose"/>
</analyzer>

Example with a filter to exclude Swedish/Finnish characters:

<analyzer>
  <tokenizer name="standard"/>
  <filter name="icuNormalizer2" form="nfkc_cf" mode="compose" filter="[^åäöÅÄÖ]"/>
</analyzer>

For detailed information about these normalization forms, see Unicode Normalization Forms.

ICU Transform Filter

This filter applies ICU Tranforms to text. This filter supports only ICU System Transforms. Custom rule sets are not supported.

Factory class: solr.ICUTransformFilterFactory

Arguments:

id

Required

Default: none

The identifier for the ICU System Transform you wish to apply with this filter. For a full list of ICU System Transforms, see http://demo.icu-project.org/icu-bin/translit?TEMPLATE_FILE=data/translit_rule_main.html.

direction

Optional

Default: forward

The direction of the ICU transform. Valid options are forward and reverse.

Example:

With name

<analyzer>
  <tokenizer name="standard"/>
  <filter name="icuTransform" id="Traditional-Simplified"/>
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.StandardTokenizerFactory"/>
  <filter class="solr.ICUTransformFilterFactory" id="Traditional-Simplified"/>
</analyzer>

For detailed information about ICU Transforms, see http://userguide.icu-project.org/transforms/general.

Keep Word Filter

This filter discards all tokens except those that are listed in the given word list. This is the inverse of the Stop Words Filter. This filter can be useful for building specialized indices for a constrained set of terms.

Factory class: solr.KeepWordFilterFactory

Arguments:

words

Required

Default: none

Path to a text file containing the list of keep words, one per line. Blank lines and lines that begin with \# are ignored. This may be an absolute path, or a simple filename in the Solr conf directory.

format

Optional

Default: none

If the keepwords list has been formatted for Snowball, you can specify format="snowball" so Solr can read the keepwords file.

ignoreCase

Optional

Default: false

If true then comparisons are done case-insensitively. If this argument is true, then the words file is assumed to contain only lowercase words.

Example:

Where keepwords.txt contains:

happy funny silly

With name

<analyzer>
  <tokenizer name="standard"/>
  <filter name="keepWord" words="keepwords.txt"/>
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.StandardTokenizerFactory"/>
  <filter class="solr.KeepWordFilterFactory" words="keepwords.txt"/>
</analyzer>

In: "Happy, sad or funny"

Tokenizer to Filter: "Happy", "sad", "or", "funny"

Out: "funny"

Example:

Same keepwords.txt, case insensitive:

<analyzer>
  <tokenizer name="standard"/>
  <filter name="keepWord" words="keepwords.txt" ignoreCase="true"/>
</analyzer>

In: "Happy, sad or funny"

Tokenizer to Filter: "Happy", "sad", "or", "funny"

Out: "Happy", "funny"

Example:

Using LowerCaseFilterFactory before filtering for keep words, no ignoreCase flag.

<analyzer>
  <tokenizer name="standard"/>
  <filter name="lowercase"/>
  <filter name="keepWord" words="keepwords.txt"/>
</analyzer>

In: "Happy, sad or funny"

Tokenizer to Filter: "Happy", "sad", "or", "funny"

Filter to Filter: "happy", "sad", "or", "funny"

Out: "happy", "funny"

KStem Filter

KStem is an alternative to the Porter Stem Filter for developers looking for a less aggressive stemmer. KStem was written by Bob Krovetz, ported to Lucene by Sergio Guzman-Lara (UMASS Amherst). This stemmer is only appropriate for English language text.

Factory class: solr.KStemFilterFactory

Arguments: None

Example:

With name

<analyzer type="index">
  <tokenizer name="standard"/>
  <filter name="kStem"/>
</analyzer>

With class name (legacy)

<analyzer type="index">
  <tokenizer class="solr.StandardTokenizerFactory"/>
  <filter class="solr.KStemFilterFactory"/>
</analyzer>

In: "jump jumping jumped"

Tokenizer to Filter: "jump", "jumping", "jumped"

Out: "jump", "jump", "jump"

Length Filter

This filter passes tokens whose length falls within the min/max limit specified. All other tokens are discarded.

Factory class: solr.LengthFilterFactory

Arguments:

min

Required

Default: none

Minimum token length. Tokens shorter than this are discarded.

max

Required

Default: none

Maximum token length. Must be larger than min. Tokens longer than this are discarded.

Example:

With name

<analyzer>
  <tokenizer name="standard"/>
  <filter name="length" min="3" max="7"/>
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.StandardTokenizerFactory"/>
  <filter class="solr.LengthFilterFactory" min="3" max="7"/>
</analyzer>

In: "turn right at Albuquerque"

Tokenizer to Filter: "turn", "right", "at", "Albuquerque"

Out: "turn", "right"

Limit Token Count Filter

This filter limits the number of accepted tokens, typically useful for index analysis.

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

Factory class: solr.LimitTokenCountFilterFactory

Arguments:

maxTokenCount

Required

Default: none

Maximum token count. After this limit has been reached, tokens are discarded.

consumeAllTokens

Optional

Default: false

Whether to consume (and discard) previous token filters' tokens after the maximum token count has been reached. See description above.

Example:

With name

<analyzer type="index">
  <tokenizer name="whitespace"/>
  <filter name="limitTokenCount" maxTokenCount="10"
          consumeAllTokens="false" />
</analyzer>

With class name (legacy)

<analyzer type="index">
  <tokenizer class="solr.WhitespaceTokenizerFactory"/>
  <filter class="solr.LimitTokenCountFilterFactory" maxTokenCount="10"
          consumeAllTokens="false" />
</analyzer>

In: "1 2 3 4 5 6 7 8 9 10 11 12"

Tokenizer to Filter: "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12"

Out: "1", "2", "3", "4", "5", "6", "7", "8", "9", "10"

Limit Token Offset Filter

This filter limits tokens to those before a configured maximum start character offset. This can be useful to limit highlighting, for example.

Factory class: solr.LimitTokenOffsetFilterFactory

Arguments:

maxStartOffset

Required

Default: none

Maximum token start character offset. After this limit has been reached, tokens are discarded.

consumeAllTokens

Optional

Default: false

Whether to consume (and discard) previous token filters' tokens after the maximum start offset has been reached. See description above.

Example:

With name

<analyzer>
  <tokenizer name="whitespace"/>
  <filter name="limitTokenOffset" maxStartOffset="10"
          consumeAllTokens="false" />
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.WhitespaceTokenizerFactory"/>
  <filter class="solr.LimitTokenOffsetFilterFactory" maxStartOffset="10"
          consumeAllTokens="false" />
</analyzer>

In: "0 2 4 6 8 A C E"

Tokenizer to Filter: "0", "2", "4", "6", "8", "A", "C", "E"

Out: "0", "2", "4", "6", "8", "A"

Limit Token Position Filter

This filter limits tokens to those before a configured maximum token position.

Factory class: solr.LimitTokenPositionFilterFactory

Arguments:

maxTokenPosition

Required

Default: none

Maximum token position. After this limit has been reached, tokens are discarded.

consumeAllTokens

Optional

Default: false

Whether to consume (and discard) previous token filters' tokens after the maximum start offset has been reached. See description above.

Example:

With name

<analyzer>
  <tokenizer name="whitespace"/>
  <filter name="limitTokenPosition" maxTokenPosition="3"
          consumeAllTokens="false" />
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.WhitespaceTokenizerFactory"/>
  <filter class="solr.LimitTokenPositionFilterFactory" maxTokenPosition="3"
          consumeAllTokens="false" />
</analyzer>

In: "1 2 3 4 5"

Tokenizer to Filter: "1", "2", "3", "4", "5"

Out: "1", "2", "3"

Lower Case Filter

Converts any uppercase letters in a token to the equivalent lowercase token. All other characters are left unchanged.

Factory class: solr.LowerCaseFilterFactory

Arguments: None

Example:

With name

<analyzer>
  <tokenizer name="standard"/>
  <filter name="lowercase"/>
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.StandardTokenizerFactory"/>
  <filter class="solr.LowerCaseFilterFactory"/>
</analyzer>

In: "Down With CamelCase"

Tokenizer to Filter: "Down", "With", "CamelCase"

Out: "down", "with", "camelcase"

Managed Stop Filter

This is specialized version of the Stop Words Filter Factory that uses a set of stop words that are managed from a REST API.

Arguments:

managed

Required

Default: none

The name that should be used for this set of stop words in the managed REST API.

Example: With this configuration the set of words is named "english" and can be managed via /solr/collection_name/schema/analysis/stopwords/english

With name

<analyzer>
  <tokenizer name="standard"/>
  <filter name="managedStop" managed="english"/>
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.StandardTokenizerFactory"/>
  <filter class="solr.ManagedStopFilterFactory" managed="english"/>
</analyzer>

See Stop Filter for example input/output.

Managed Synonym Filter

This is specialized version of the Synonym Filter that uses a mapping on synonyms that is managed from a REST API.

Managed Synonym Filter has been Deprecated

Managed Synonym Filter has been deprecated in favor of Managed Synonym Graph Filter, which is required for multi-term synonym support.

Factory class: solr.ManagedSynonymFilterFactory

For arguments and examples, see the Synonym Graph Filter below.

Managed Synonym Graph Filter

This is specialized version of the Synonym Graph Filter that uses a mapping on synonyms that is managed from a REST API.

This filter maps single- or multi-token synonyms, producing a fully correct graph output. This filter is a replacement for the Managed Synonym Filter, which produces incorrect graphs for multi-token synonyms.

Although this filter produces correct token graphs, it cannot consume an input token graph correctly.

Arguments:

managed

Required

Default: none

The name that should be used for this mapping on synonyms in the managed REST API.

Example: With this configuration the set of mappings is named "english" and can be managed via /solr/collection_name/schema/analysis/synonyms/english

With name

<analyzer type="index">
  <tokenizer name="standard"/>
  <filter name="managedSynonymGraph" managed="english"/>
  <filter name="flattenGraph"/> <!-- required on index analyzers after graph filters -->
</analyzer>
<analyzer type="query">
  <tokenizer name="standard"/>
  <filter name="managedSynonymGraph" managed="english"/>
</analyzer>

With class name (legacy)

<analyzer type="index">
  <tokenizer class="solr.StandardTokenizerFactory"/>
  <filter class="solr.ManagedSynonymGraphFilterFactory" managed="english"/>
  <filter class="solr.FlattenGraphFilterFactory"/> <!-- required on index analyzers after graph filters -->
</analyzer>
<analyzer type="query">
  <tokenizer class="solr.StandardTokenizerFactory"/>
  <filter class="solr.ManagedSynonymGraphFilterFactory" managed="english"/>
</analyzer>

See Synonym Graph Filter below for example input/output.

MinHash Filter

Generates a repeatably random fixed number of hash tokens from all the input tokens in the stream. To do this it first consumes all of the input tokens from its source. This filter would normally be preceded by a Shingle Filter, as shown in the example below.

Each input token is hashed. It is subsequently "rehashed" hashCount times by combining with a set of precomputed hashes. For each of the resulting hashes, the hash space is divided into bucketCount buckets. The lowest set of hashSetSize hashes (usually a set of one) is generated for each bucket.

This filter generates one type of signature or sketch for the input tokens and can be used to compute Jaccard similarity between documents.

Arguments:

hashCount

Optional

Default: 1

The number of hashes to use.

bucketCount

Optional

Default: 512

The number of buckets to use.

hashSetSize

Optional

Default: 1

The size of the set for the lowest hashes from each bucket.

withRotation

Optional

Default: see description

If a hash bucket is empty, generate a hash value from the first previous bucket that has a value. The default is true if the bucketCount is greater than 1 and false otherwise.

The number of hashes generated depends on the options above. With the default settings for withRotation, the number of hashes generated is hashCount x bucketCount x hashSetSize ⇒ 512, by default.

Example:

With name

<analyzer>
  <tokenizer name="icu"/>
  <filter name="icuFolding"/>
  <filter name="shingle" minShingleSize="5" outputUnigrams="false" outputUnigramsIfNoShingles="false" maxShingleSize="5" tokenSeparator=" "/>
  <filter name="minHash" bucketCount="512" hashSetSize="1" hashCount="1"/>
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.ICUTokenizerFactory"/>
  <filter class="solr.ICUFoldingFilterFactory"/>
  <filter class="solr.ShingleFilterFactory" minShingleSize="5" outputUnigrams="false" outputUnigramsIfNoShingles="false" maxShingleSize="5" tokenSeparator=" "/>
  <filter class="org.apache.lucene.analysis.minhash.MinHashFilterFactory" bucketCount="512" hashSetSize="1" hashCount="1"/>
</analyzer>

In: "woof woof woof woof woof"

Tokenizer to Filter: "woof woof woof woof woof"

Out: "℁팽徭聙↝ꇁ홱杯", "℁팽徭聙↝ꇁ홱杯", "℁팽徭聙↝ꇁ홱杯", …. a total of 512 times

N-Gram Filter

Generates n-gram tokens of sizes in the given range. Note that tokens are ordered by position and then by gram size.

Factory class: solr.NGramFilterFactory

Arguments:

minGramSize

Required

Default: none

The minimum gram size, must be > 0.

maxGramSize

Required

Default: none

The maximum gram size, must be >= minGramSize.

preserveOriginal

Optional

Default: false

If true keep the original term even if it is shorter than minGramSize or longer than maxGramSize.

Example:

Default behavior.

With name

<analyzer>
  <tokenizer name="standard"/>
  <filter name="nGram" minGramSize="1" maxGramSize="2"/>
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.StandardTokenizerFactory"/>
  <filter class="solr.NGramFilterFactory" minGramSize="1" maxGramSize="2"/>
</analyzer>

In: "four score"

Tokenizer to Filter: "four", "score"

Out: "f", "o", "u", "r", "fo", "ou", "ur", "s", "c", "o", "r", "e", "sc", "co", "or", "re"

Example:

A range of 1 to 4.

<analyzer>
  <tokenizer name="standard"/>
  <filter name="nGram" minGramSize="1" maxGramSize="4"/>
</analyzer>

In: "four score"

Tokenizer to Filter: "four", "score"

Out: "f", "fo", "fou", "four", "o", "ou", "our", "u", "ur", "r", "s", "sc", "sco", "scor", "c", "co", "cor", "core", "o", "or", "ore", "r", "re", "e"

Example:

A range of 3 to 5.

<analyzer>
  <tokenizer name="standard"/>
  <filter name="nGram" minGramSize="3" maxGramSize="5"/>
</analyzer>

In: "four score"

Tokenizer to Filter: "four", "score"

Out: "fou", "four", "our", "sco", "scor", "score", "cor", "core", "ore"

Example:

Preserve original term.

<analyzer>
  <tokenizer name="standard"/>
  <filter name="nGram" minGramSize="2" maxGramSize="3" preserveOriginal="true"/>
</analyzer>

In: "four score"

Tokenizer to Filter: "four", "score"

Out: "fo", "fou", "ou", "our", "ur", "four", "sc", "sco", "co", "cor", "or", "ore", "re", "score"

Numeric Payload Token Filter

This filter adds a numeric floating point payload value to tokens that match a given type. Refer to the Javadoc for the org.apache.lucene.analysis.Token class for more information about token types and payloads.

Factory class: solr.NumericPayloadTokenFilterFactory

Arguments:

payload

Required

Default: none

A floating point value that will be added to all matching tokens.

typeMatch

Required

Default: none

A token type name string. Tokens with a matching type name will have their payload set to the above floating point value.

Example:

With name

<analyzer>
  <tokenizer name="whitespace"/>
  <filter name="numericPayload" payload="0.75" typeMatch="word"/>
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.WhitespaceTokenizerFactory"/>
  <filter class="solr.NumericPayloadTokenFilterFactory" payload="0.75" typeMatch="word"/>
</analyzer>

In: "bing bang boom"

Tokenizer to Filter: "bing", "bang", "boom"

Out: "bing"[0.75], "bang"[0.75], "boom"[0.75]

Pattern Replace Filter

This filter applies a regular expression to each token and, for those that match, substitutes the given replacement string in place of the matched pattern. Tokens which do not match are passed through unchanged.

Factory class: solr.PatternReplaceFilterFactory

Arguments:

pattern

Required

Default: none

The regular expression to test against each token, as per java.util.regex.Pattern.

replacement

Required

Default: none

A string to substitute in place of the matched pattern. This string may contain references to capture groups in the regex pattern. See the Javadoc for java.util.regex.Matcher.

replace

Optional

Default: all

Indicates whether all occurrences of the pattern (all) in the token should be replaced, or only the first (first).

Example:

Simple string replace:

With name

<analyzer>
  <tokenizer name="standard"/>
  <filter name="patternReplace" pattern="cat" replacement="dog"/>
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.StandardTokenizerFactory"/>
  <filter class="solr.PatternReplaceFilterFactory" pattern="cat" replacement="dog"/>
</analyzer>

In: "cat concatenate catycat"

Tokenizer to Filter: "cat", "concatenate", "catycat"

Out: "dog", "condogenate", "dogydog"

Example:

String replacement, first occurrence only:

<analyzer>
  <tokenizer name="standard"/>
  <filter name="patternReplace" pattern="cat" replacement="dog" replace="first"/>
</analyzer>

In: "cat concatenate catycat"

Tokenizer to Filter: "cat", "concatenate", "catycat"

Out: "dog", "condogenate", "dogycat"

Example:

More complex pattern with capture group reference in the replacement. Tokens that start with non-numeric characters and end with digits will have an underscore inserted before the numbers. Otherwise the token is passed through.

<analyzer>
  <tokenizer name="standard"/>
  <filter name="patternReplace" pattern="(\D+)(\d+)$" replacement="$1_$2"/>
</analyzer>

In: "cat foo1234 9987 blah1234foo"

Tokenizer to Filter: "cat", "foo1234", "9987", "blah1234foo"

Out: "cat", "foo_1234", "9987", "blah1234foo"

Phonetic Filter

This filter creates tokens using one of the phonetic encoding algorithms in the org.apache.commons.codec.language package. For more information, see the section on Phonetic Matching.

Factory class: solr.PhoneticFilterFactory

Arguments:

encoder

Required

Default: none

The name of the encoder to use. The encoder name must be one of the following (case insensitive):

inject

Optional

Default: true

If true, new phonetic tokens are added to the stream. Otherwise, tokens are replaced with the phonetic equivalent. Setting this to false will enable phonetic matching, but the exact spelling of the target word may not match.

maxCodeLength

Optional

Default: none

The maximum length of the code to be generated by the Metaphone or Double Metaphone encoders.

Example:

Default behavior for DoubleMetaphone encoding.

With name

<analyzer>
  <tokenizer name="standard"/>
  <filter name="phonetic" encoder="DoubleMetaphone"/>
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.StandardTokenizerFactory"/>
  <filter class="solr.PhoneticFilterFactory" encoder="DoubleMetaphone"/>
</analyzer>

In: "four score and twenty"

Tokenizer to Filter: "four"(1), "score"(2), "and"(3), "twenty"(4)

Out: "four"(1), "FR"(1), "score"(2), "SKR"(2), "and"(3), "ANT"(3), "twenty"(4), "TNT"(4)

The phonetic tokens have a position increment of 0, which indicates that they are at the same position as the token they were derived from (immediately preceding).

Example:

Discard original token.

<analyzer>
  <tokenizer name="standard"/>
  <filter name="phonetic" encoder="DoubleMetaphone" inject="false"/>
</analyzer>

In: "four score and twenty"

Tokenizer to Filter: "four"(1), "score"(2), "and"(3), "twenty"(4)

Out: "FR"(1), "SKR"(2), "ANT"(3), "TWNT"(4)

Example:

Default Soundex encoder.

<analyzer>
  <tokenizer name="standard"/>
  <filter name="phonetic" encoder="Soundex"/>
</analyzer>

In: "four score and twenty"

Tokenizer to Filter: "four"(1), "score"(2), "and"(3), "twenty"(4)

Out: "four"(1), "F600"(1), "score"(2), "S600"(2), "and"(3), "A530"(3), "twenty"(4), "T530"(4)

Porter Stem Filter

This filter applies the Porter Stemming Algorithm for English. The results are similar to using the Snowball Porter Stemmer with the language="English" argument. But this stemmer is coded directly in Java and is not based on Snowball. It does not accept a list of protected words and is only appropriate for English language text. However, it has been benchmarked as four times faster than the English Snowball stemmer, so can provide a performance enhancement.

Factory class: solr.PorterStemFilterFactory

Arguments: None

Example:

With name

<analyzer type="index">
  <tokenizer name="standard"/>
  <filter name="porterStem"/>
</analyzer>

With class name (legacy)

<analyzer type="index">
  <tokenizer class="solr.StandardTokenizerFactory "/>
  <filter class="solr.PorterStemFilterFactory"/>
</analyzer>

In: "jump jumping jumped"

Tokenizer to Filter: "jump", "jumping", "jumped"

Out: "jump", "jump", "jump"

Protected Term Filter

This filter enables a form of conditional filtering: it only applies its wrapped filters to terms that are not contained in a protected set.

Factory class: solr.ProtectedTermFilterFactory

Arguments:

protected

Required

Default: none

Comma-separated list of files containing protected terms, one per line.

wrappedFilters

Required

Default: none

Case-insensitive comma-separated list of TokenFilterFactory SPI names (strip trailing (Token)FilterFactory from the factory name - see the java.util.ServiceLoader interface). Each filter name must be unique, so if you need to specify the same filter more than once, you must add case-insensitive unique -id suffixes to each same-SPI-named filter (note that the -id suffix is stripped prior to SPI lookup).

ignoreCase

Optional

Default: false

Ignore case when testing for protected words. If true, the protected list should contain lowercase words.

Example:

All terms except those in protectedTerms.txt are truncated at 4 characters and lowercased:

With name

<analyzer>
  <tokenizer name="whitespace"/>
  <filter name="protectedTerm"
          ignoreCase="true" protected="protectedTerms.txt"
          wrappedFilters="truncate,lowercase"
          truncate.prefixLength="4"/>
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.WhitespaceTokenizerFactory"/>
  <filter class="solr.ProtectedTermFilterFactory"
          ignoreCase="true" protected="protectedTerms.txt"
          wrappedFilters="truncate,lowercase"
          truncate.prefixLength="4"/>
</analyzer>

Example:

This example includes multiple same-named wrapped filters with unique -id suffixes. Note that both the filter SPI names and -id suffixes are treated case-insensitively.

For all terms except those in protectedTerms.txt, synonyms are added, terms are reversed, and then synonyms are added for the reversed terms:

<analyzer type="query">
  <tokenizer name="whitespace"/>
  <filter name="protectedTerm"
          ignoreCase="true" protected="protectedTerms.txt"
          wrappedFilters="SynonymGraph-fwd,ReverseString,SynonymGraph-rev"
          synonymgraph-FWD.synonyms="fwd-syns.txt"
          synonymgraph-REV.synonyms="rev-syns.txt"/>
</analyzer>

Remove Duplicates Token Filter

The filter removes duplicate tokens in the stream. Tokens are considered to be duplicates ONLY if they have the same text and position values.

Because positions must be the same, this filter might not do what a user expects it to do based on its name. It is a very specialized filter that is only useful in very specific circumstances. It has been so named for brevity, even though it is potentially misleading.

Factory class: solr.RemoveDuplicatesTokenFilterFactory

Arguments: None

Example:

One example of where RemoveDuplicatesTokenFilterFactory is useful in situations where a synonym file is being used in conjunction with a stemmer. In these situations, both the stemmer and the synonym filter can cause completely identical terms with the same positions to end up in the stream, increasing index size with no benefit.

Consider the following entry from a synonyms.txt file:

 Television, Televisions, TV, TVs

When used in the following configuration:

With name

<analyzer type="query">
  <tokenizer name="standard"/>
  <filter name="synonymGraph" synonyms="synonyms.txt"/>
  <filter name="englishMinimalStem"/>
  <filter name="removeDuplicates"/>
</analyzer>

With class name (legacy)

<analyzer type="query">
  <tokenizer class="solr.StandardTokenizerFactory"/>
  <filter class="solr.SynonymGraphFilterFactory" synonyms="synonyms.txt"/>
  <filter class="solr.EnglishMinimalStemFilterFactory"/>
  <filter class="solr.RemoveDuplicatesTokenFilterFactory"/>
</analyzer>

In: "Watch TV"

Tokenizer to Synonym Filter: "Watch"(1) "TV"(2)

Synonym Filter to Stem Filter: "Watch"(1) "Television"(2) "Televisions"(2) "TV"(2) "TVs"(2)

Stem Filter to Remove Dups Filter: "Watch"(1) "Television"(2) "Television"(2) "TV"(2) "TV"(2)

Out: "Watch"(1) "Television"(2) "TV"(2)

Reversed Wildcard Filter

This filter reverses tokens to provide faster leading wildcard and prefix queries. Tokens without wildcards are not reversed.

Factory class: solr.ReversedWildcardFilterFactory

Arguments:

withOriginal

Optional

Default: true

If true, the filter produces both original and reversed tokens at the same positions. If false, produces only reversed tokens.

maxPosAsterisk

Optional

Default: 2

The maximum position of the asterisk wildcard ('*') that triggers the reversal of the query term. Terms with asterisks at positions above this value are not reversed.

maxPosQuestion

Optional

Default: 1

The maximum position of the question mark wildcard ('?') that triggers the reversal of query term. To reverse only pure suffix queries (queries with a single leading asterisk), set this to 0 and maxPosAsterisk to 1.

maxFractionAsterisk

Optional

Default: 0.0

An additional parameter that triggers the reversal if asterisk ('*') position is less than this fraction of the query token length.

minTrailing

Optional

Default: 2

The minimum number of trailing characters in a query token after the last wildcard character. For good performance this should be set to a value larger than 1.

Example:

With name

<analyzer type="index">
  <tokenizer name="whitespace"/>
  <filter name="reversedWildcard" withOriginal="true"
    maxPosAsterisk="2" maxPosQuestion="1" minTrailing="2" maxFractionAsterisk="0"/>
</analyzer>

With class name (legacy)

<analyzer type="index">
  <tokenizer class="solr.WhitespaceTokenizerFactory"/>
  <filter class="solr.ReversedWildcardFilterFactory" withOriginal="true"
    maxPosAsterisk="2" maxPosQuestion="1" minTrailing="2" maxFractionAsterisk="0"/>
</analyzer>

In: "*foo *bar"

Tokenizer to Filter: "*foo", "*bar"

Out: "oof*", "rab*"

Shingle Filter

This filter constructs shingles, which are token n-grams, from the token stream. It combines runs of tokens into a single token.

Factory class: solr.ShingleFilterFactory

Arguments:

minShingleSize

Optional

Default: 2

The minimum number of tokens per shingle. Must be higher than or equal to 2.

maxShingleSize

Optional

Default: 2

The maximum number of tokens per shingle. Must be higher than or equal to minShingleSize.

outputUnigrams

Optional

Default: true

If true, then each individual token is also included at its original position.

outputUnigramsIfNoShingles

Optional

Default: false

If true, then individual tokens will be output if no shingles are possible.

tokenSeparator

Optional

Default: space character

The string to use when joining adjacent tokens to form a shingle.

fillerToken

Optional

Default: _ (underscore)

The character used to fill in for removed stop words in order to preserve position increments.

Example:

Default behavior.

With name

<analyzer>
  <tokenizer name="standard"/>
  <filter name="shingle"/>
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.StandardTokenizerFactory"/>
  <filter class="solr.ShingleFilterFactory"/>
</analyzer>

In: "To be, or what?"

Tokenizer to Filter: "To"(1), "be"(2), "or"(3), "what"(4)

Out: "To"(1), "To be"(1), "be"(2), "be or"(2), "or"(3), "or what"(3), "what"(4)

Example:

A shingle size of four, do not include original token.

<analyzer>
  <tokenizer name="standard"/>
  <filter name="shingle" maxShingleSize="4" outputUnigrams="false"/>
</analyzer>

In: "To be, or not to be."

Tokenizer to Filter: "To"(1), "be"(2), "or"(3), "not"(4), "to"(5), "be"(6)

Out: "To be"(1), "To be or"(1), "To be or not"(1), "be or"(2), "be or not"(2), "be or not to"(2), "or not"(3), "or not to"(3), "or not to be"(3), "not to"(4), "not to be"(4), "to be"(5)

Snowball Porter Stemmer Filter

This filter factory instantiates a language-specific stemmer generated by Snowball. Snowball is a software package that generates pattern-based word stemmers. This type of stemmer is not as accurate as a table-based stemmer, but is faster and less complex. Table-driven stemmers are labor intensive to create and maintain and so are typically commercial products.

Solr contains Snowball stemmers for Armenian, Basque, Catalan, Danish, Dutch, English, Finnish, French, German, Hungarian, Italian, Norwegian, Portuguese, Romanian, Russian, Spanish, Swedish and Turkish. For more information on Snowball, visit http://snowball.tartarus.org/.

StopFilterFactory, CommonGramsFilterFactory, and CommonGramsQueryFilterFactory can optionally read stopwords in Snowball format (specify format="snowball" in the configuration of those FilterFactories).

Factory class: solr.SnowballPorterFilterFactory

Arguments:

language

Optional

Default: English

The name of a language, used to select the appropriate Porter stemmer to use. Case is significant. This string is used to select a package name in the org.tartarus.snowball.ext class hierarchy.

protected

Required

Default: protected

Path to a text file containing a list of protected words, one per line. Protected words will not be stemmed. Blank lines and lines that begin with \# are ignored. This may be an absolute path, or a simple file name in the Solr conf directory.

Example:

Default behavior:

With name

<analyzer>
  <tokenizer name="standard"/>
  <filter name="snowballPorter"/>
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.StandardTokenizerFactory"/>
  <filter class="solr.SnowballPorterFilterFactory"/>
</analyzer>

In: "flip flipped flipping"

Tokenizer to Filter: "flip", "flipped", "flipping"

Out: "flip", "flip", "flip"

Example:

French stemmer, English words:

<analyzer>
  <tokenizer name="standard"/>
  <filter name="snowballPorter" language="French"/>
</analyzer>

In: "flip flipped flipping"

Tokenizer to Filter: "flip", "flipped", "flipping"

Out: "flip", "flipped", "flipping"

Example:

Spanish stemmer, Spanish words:

<analyzer>
  <tokenizer name="standard"/>
  <filter name="snowballPorter" language="Spanish"/>
</analyzer>

In: "cante canta"

Tokenizer to Filter: "cante", "canta"

Out: "cant", "cant"

Stop Filter

This filter discards, or stops analysis of, tokens that are on the given stop words list. A standard stop words list is included in the Solr conf directory, named stopwords.txt, which is appropriate for typical English language text.

Factory class: solr.StopFilterFactory

Arguments:

words

Optional

Default: none

The path to a file that contains a list of stop words, one per line. Blank lines and lines that begin with \# are ignored. This may be an absolute path, or path relative to the Solr conf directory.

format

Optional

Default: none

If the stopwords list has been formatted for Snowball, you can specify format="snowball" so Solr can read the stopwords file.

ignoreCase

Optional

Default: false

Ignore case when testing for stop words. If true, the stop list should contain lowercase words.

Example:

Case-sensitive matching, capitalized words not stopped. Token positions skip stopped words.

With name

<analyzer>
  <tokenizer name="standard"/>
  <filter name="stop" words="stopwords.txt"/>
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.StandardTokenizerFactory"/>
  <filter class="solr.StopFilterFactory" words="stopwords.txt"/>
</analyzer>

In: "To be or what?"

Tokenizer to Filter: "To"(1), "be"(2), "or"(3), "what"(4)

Out: "To"(1), "what"(4)

Example:

<analyzer>
  <tokenizer name="standard"/>
  <filter name="stop" words="stopwords.txt" ignoreCase="true"/>
</analyzer>

In: "To be or what?"

Tokenizer to Filter: "To"(1), "be"(2), "or"(3), "what"(4)

Out: "what"(4)

Suggest Stop Filter

Like Stop Filter, this filter discards, or stops analysis of, tokens that are on the given stop words list.

Suggest Stop Filter differs from Stop Filter in that it will not remove the last token unless it is followed by a token separator. For example, a query "find the" would preserve the 'the' since it was not followed by a space, punctuation, etc., and mark it as a KEYWORD so that following filters will not change or remove it.

By contrast, a query like “find the popsicle” would remove ‘the’ as a stopword, since it’s followed by a space. When using one of the analyzing suggesters, you would normally use the ordinary StopFilterFactory in your index analyzer and then SuggestStopFilter in your query analyzer.

Factory class: solr.SuggestStopFilterFactory

Arguments:

words

Optional

Default: StopAnalyzer#ENGLISH_STOP_WORDS_SET

The name of a stopwords file to parse.

format

Optional

Default: wordset

Defines how the words file will be parsed. If words is not specified, then format must not be specified. The valid values for the format parameter are:

wordset: Supports one word per line (including any intra-word whitespace) and allows whole line comments beginning with the \# character. Blank lines are ignored.
snowball: Allows for multiple words specified on each line, and trailing comments may be specified using the vertical line (|). Blank lines are ignored.

ignoreCase

Optional

Default: false

If true, matching is case-insensitive.

Example:

With name

<analyzer type="query">
  <tokenizer name="whitespace"/>
  <filter name="lowercase"/>
  <filter name="suggestStop" ignoreCase="true"
          words="stopwords.txt" format="wordset"/>
</analyzer>

With class name (legacy)

<analyzer type="query">
  <tokenizer class="solr.WhitespaceTokenizerFactory"/>
  <filter class="solr.LowerCaseFilterFactory"/>
  <filter class="solr.SuggestStopFilterFactory" ignoreCase="true"
          words="stopwords.txt" format="wordset"/>
</analyzer>

In: "The The"

Tokenizer to Filter: "the"(1), "the"(2)

Out: "the"(2)

Synonym Filter

This filter does synonym mapping. Each token is looked up in the list of synonyms and if a match is found, then the synonym is emitted in place of the token. The position value of the new tokens are set such they all occur at the same position as the original token.

Synonym Filter has been Deprecated

Synonym Filter has been deprecated in favor of Synonym Graph Filter, which is required for multi-term synonym support.

Factory class: solr.SynonymFilterFactory

For arguments and examples, see the Synonym Graph Filter below.

Synonym Graph Filter

This filter maps single- or multi-token synonyms, producing a fully correct graph output. This filter is a replacement for the Synonym Filter, which produces incorrect graphs for multi-token synonyms.

If you use this filter during indexing, you must follow it with a Flatten Graph Filter to squash tokens on top of one another like the Synonym Filter, because the indexer can’t directly consume a graph. To get fully correct positional queries when your synonym replacements are multiple tokens, you should instead apply synonyms using this filter at query time.

Although this filter produces correct token graphs, it cannot consume an input token graph correctly.

Factory class: solr.SynonymGraphFilterFactory

Arguments:

synonyms

Required

Default: none

The path to a file that contains a list of synonyms, one per line. In the (default) solr format - see the format argument below for alternatives - blank lines and lines that begin with \# are ignored. This may be a comma-separated list of paths. See Resource Loading for more information.

There are two ways to specify synonym mappings:

A comma-separated list of words. If the token matches any of the words, then all the words in the list are substituted, which will include the original token.
Two comma-separated lists of words with the symbol "=>" between them. If the token matches any word on the left, then the list on the right is substituted. The original token will not be included unless it is also in the list on the right.

ignoreCase

Optional

Default: false

If true, synonyms will be matched case-insensitively.

expand

Optional

Default: true

If true, a synonym will be expanded to all equivalent synonyms. If false, all equivalent synonyms will be reduced to the first in the list.

format

Optional

Default: solr

Controls how the synonyms will be parsed. The short names solr (for SolrSynonymParser and wordnet (for WordnetSynonymParser ) are supported. You may alternatively supply the name of your own SynonymMap.Builder subclass.

tokenizerFactory

Optional

Default: WhitespaceTokenizerFactory

The name of the tokenizer factory to use when parsing the synonyms file. Arguments with the name prefix tokenizerFactory.* will be supplied as init params to the specified tokenizer factory.

Any arguments not consumed by the synonym filter factory, including those without the tokenizerFactory.* prefix, will also be supplied as init params to the tokenizer factory.

If tokenizerFactory is specified, then analyzer may not be, and vice versa.

analyzer

Optional

Default: WhitespaceTokenizerFactory

The name of the analyzer class to use when parsing the synonyms file. If analyzer is specified, then tokenizerFactory may not be, and vice versa.

For the following examples, assume a synonyms file named mysynonyms.txt:

couch,sofa,divan
teh => the
huge,ginormous,humungous => large
small => tiny,teeny,weeny

Example:

With name

<analyzer type="index">
  <tokenizer name="standard"/>
  <filter name="synonymGraph" synonyms="mysynonyms.txt"/>
  <filter name="flattenGraph"/> <!-- required on index analyzers after graph filters -->
</analyzer>
<analyzer type="query">
  <tokenizer name="standard"/>
  <filter name="synonymGraph" synonyms="mysynonyms.txt"/>
</analyzer>

With class name (legacy)

<analyzer type="index">
  <tokenizer class="solr.StandardTokenizerFactory"/>
  <filter class="solr.SynonymGraphFilterFactory" synonyms="mysynonyms.txt"/>
  <filter class="solr.FlattenGraphFilterFactory"/> <!-- required on index analyzers after graph filters -->
</analyzer>
<analyzer type="query">
  <tokenizer class="solr.StandardTokenizerFactory"/>
  <filter class="solr.SynonymGraphFilterFactory" synonyms="mysynonyms.txt"/>
</analyzer>

In: "teh small couch"

Tokenizer to Filter: "teh"(1), "small"(2), "couch"(3)

Out: "the"(1), "tiny"(2), "teeny"(2), "weeny"(2), "couch"(3), "sofa"(3), "divan"(3)

Example:

In: "teh ginormous, humungous sofa"

Tokenizer to Filter: "teh"(1), "ginormous"(2), "humungous"(3), "sofa"(4)

Out: "the"(1), "large"(2), "large"(3), "couch"(4), "sofa"(4), "divan"(4)

Weighted Synonyms:

Combining the DelimitedBoostFilter with the Synonym Graph Filter you can achieve Weighted synonyms at query time. For more information feel free to refer to: https://sease.io/2020/03/introducing-weighted-synonyms-in-apache-lucene.html For the following examples, assume a synonyms file named boostedSynonyms.txt:

leopard, big cat|0.8, bagheera|0.9, panthera pardus|0.85
lion => panthera leo|0.9, simba|0.8, kimba|0.75

Example:

With name

<analyzer type="query">
  <tokenizer name="standard"/>
  <filter name="synonymGraph" synonyms="boostedSynonyms.txt"/>
  <filter name="delimitedBoost"/>
</analyzer>

In: "lion"

Tokenizer to Filter: "lion"(1)

Out: "panthera"(1), "leo"(2)[0.9], "simba"(1)[0.8], "kimba"(1)[0.75]

Token Offset Payload Filter

This filter adds the numeric character offsets of the token as a payload value for that token.

Factory class: solr.TokenOffsetPayloadTokenFilterFactory

Arguments: None

Example:

With name

<analyzer>
  <tokenizer name="whitespace"/>
  <filter name="tokenOffsetPayload"/>
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.WhitespaceTokenizerFactory"/>
  <filter class="solr.TokenOffsetPayloadTokenFilterFactory"/>
</analyzer>

In: "bing bang boom"

Tokenizer to Filter: "bing", "bang", "boom"

Out: "bing"[0,4], "bang"[5,9], "boom"[10,14]

Trim Filter

This filter trims leading and/or trailing whitespace from tokens. Most tokenizers break tokens at whitespace, so this filter is most often used for special situations.

Factory class: solr.TrimFilterFactory

Arguments: None

Example:

The PatternTokenizerFactory configuration used here splits the input on simple commas, it does not remove whitespace.

With name

<analyzer>
  <tokenizer name="pattern" pattern=","/>
  <filter name="trim"/>
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.PatternTokenizerFactory" pattern=","/>
  <filter class="solr.TrimFilterFactory"/>
</analyzer>

In: "one, two , three ,four "

Tokenizer to Filter: "one", " two ", " three ", "four "

Out: "one", "two", "three", "four"

Type As Payload Filter

This filter adds the token’s type, as an encoded byte sequence, as its payload.

Factory class: solr.TypeAsPayloadTokenFilterFactory

Arguments: None

Example:

With name

<analyzer>
  <tokenizer name="whitespace"/>
  <filter name="typeAsPayload"/>
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.WhitespaceTokenizerFactory"/>
  <filter class="solr.TypeAsPayloadTokenFilterFactory"/>
</analyzer>

In: "Pay Bob’s I.O.U."

Tokenizer to Filter: "Pay", "Bob’s", "I.O.U."

Out: "Pay"[<ALPHANUM>], "Bob’s"[<APOSTROPHE>], "I.O.U."[<ACRONYM>]

Type As Synonym Filter

This filter adds the token’s type, as a token at the same position as the token, optionally with a configurable prefix prepended.

Factory class: solr.TypeAsSynonymFilterFactory

Arguments:

prefix

Optional

Default: none

The prefix to prepend to the token’s type.

ignore

Optional

Default: none

A comma-separated list of types to ignore and not convert to synonyms.

synFlagsMask

Optional

Default: see description

A mask (provided as an integer) to control what flags are propagated to the synonyms. The default value is an integer -1, i.e., the mask 0xFFFFFFFF - this mask propagates any flags as is.

Examples:

With the example below, each token’s type will be emitted verbatim at the same position:

With name

<analyzer>
  <tokenizer name="standard"/>
  <filter name="typeAsSynonym"/>
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.StandardTokenizerFactory"/>
  <filter class="solr.TypeAsSynonymFilterFactory"/>
</analyzer>

With the example below, for a token "example.com" with type <URL>, the token emitted at the same position will be "_type_<URL>":

With name

<analyzer>
  <tokenizer name="uax29URLEmail"/>
  <filter name="typeAsSynonym" prefix="_type_"/>
</analyzer>

With class name (legacy)

<analyzer>
  <tokenizer class="solr.UAX29URLEmailTokenizerFactory"/>
  <filter class="solr.TypeAsSynonymFilterFactory" prefix="_type_"/>
</analyzer>

Type Token Filter

This filter denies or allows a specified list of token types, assuming the tokens have type metadata associated with them. For example, the UAX29 URL Email Tokenizer emits "<URL>" and "<EMAIL>" typed tokens, as well as other types. This filter would allow you to pull out only e-mail addresses from text as tokens, if you wish.

Factory class: solr.TypeTokenFilterFactory

Arguments:

types

Required

Default: none

Defines the path to a file of types to filter.

useWhitelist

Optional

Default: false

If true, the file defined in types should be used as include list. If false, or undefined, the file defined in types is used as a denylist.

Example:

With name

<analyzer>
  <filter name="typeToken" types="stoptypes.txt" useWhitelist="true"/>
</analyzer>

With class name (legacy)

<analyzer>
  <filter class="solr.TypeTokenFilterFactory" types="stoptypes.txt" useWhitelist="true"/>
</analyzer>

Word Delimiter Filter

This filter splits tokens at word delimiters.

Word Delimiter Filter has been Deprecated

Word Delimiter Filter has been deprecated in favor of Word Delimiter Graph Filter, which is required to produce a correct token graph so that e.g., phrase queries can work correctly.

Factory class: solr.WordDelimiterFilterFactory

For a full description, including arguments and examples, see the Word Delimiter Graph Filter below.

Word Delimiter Graph Filter

This filter splits tokens at word delimiters.

If you use this filter during indexing, you must follow it with a Flatten Graph Filter to squash tokens on top of one another like the Word Delimiter Filter, because the indexer can’t directly consume a graph. To get fully correct positional queries when tokens are split, you should instead use this filter at query time.

Note: although this filter produces correct token graphs, it cannot consume an input token graph correctly.

The rules for determining delimiters are determined as follows:

A change in case within a word: "CamelCase" → "Camel", "Case". This can be disabled by setting splitOnCaseChange="0".
A transition from alpha to numeric characters or vice versa: "Gonzo5000" → "Gonzo", "5000" "4500XL" → "4500", "XL". This can be disabled by setting splitOnNumerics="0".
Non-alphanumeric characters (discarded): "hot-spot" → "hot", "spot"
A trailing "'s" is removed: "O’Reilly’s" → "O", "Reilly"
Any leading or trailing delimiters are discarded: "--hot-spot--" → "hot", "spot"

Factory class: solr.WordDelimiterGraphFilterFactory

Arguments:

generateWordParts

Optional

Default: 1

If non-zero, splits words at delimiters. For example:"CamelCase", "hot-spot" → "Camel", "Case", "hot", "spot"

generateNumberParts

Optional

Default: 1

If non-zero, splits numeric strings at delimiters:"1947-32" → *"1947", "32"

splitOnCaseChange

Optional

Default: 1

If 0, words are not split on camel-case changes:"BugBlaster-XL" → "BugBlaster", "XL". Example 1 below illustrates the default (non-zero) splitting behavior.

splitOnNumerics

Optional

Default: 1

If 0, don’t split words on transitions from alpha to numeric:"FemBot3000" → "Fem", "Bot3000"

catenateWords

Optional

Default: 0

If non-zero, maximal runs of word parts will be joined: "hot-spot-sensor’s" → "hotspotsensor"

catenateNumbers

Optional

Default: 0

If non-zero, maximal runs of number parts will be joined: 1947-32" → "194732"

catenateAll

Optional

Default: 0

If non-zero, runs of word and number parts will be joined: "Zap-Master-9000" → "ZapMaster9000"

preserveOriginal

Optional

Default: 0

If non-zero, the original token is preserved: "Zap-Master-9000" → "Zap-Master-9000", "Zap", "Master", "9000"

protected

Optional

Default: none

The path to a file that contains a list of protected words that should be passed through without splitting.

stemEnglishPossessive

Optional

Default: 1

If 1, strips the possessive 's from each subword.

adjustOffsets

Optional

Default: true

If true, the offsets of partial terms are adjusted.

types

Optional

Default: none

The path to a file that contains character => type mappings, which enable customization of this filter’s splitting behavior. Recognized character types: LOWER, UPPER, ALPHA, DIGIT, ALPHANUM, and SUBWORD_DELIM.

The default for any character without a customized mapping is computed from Unicode character properties. Blank lines and comment lines starting with '#' are ignored. An example file:

# Don't split numbers at '$', '.' or ','
$ => DIGIT
. => DIGIT
\u002C => DIGIT

# Don't split on ZWJ: https://en.wikipedia.org/wiki/Zero-width_joiner
\u200D => ALPHANUM

Example:

Default behavior. The whitespace tokenizer is used here to preserve non-alphanumeric characters.

With name

<analyzer type="index">
  <tokenizer name="whitespace"/>
  <filter name="wordDelimiterGraph"/>
  <filter name="flattenGraph"/> <!-- required on index analyzers after graph filters -->
</analyzer>
<analyzer type="query">
  <tokenizer name="whitespace"/>
  <filter name="wordDelimiterGraph"/>
</analyzer>

With class name (legacy)

<analyzer type="index">
  <tokenizer class="solr.WhitespaceTokenizerFactory"/>
  <filter class="solr.WordDelimiterGraphFilterFactory"/>
  <filter class="solr.FlattenGraphFilterFactory"/> <!-- required on index analyzers after graph filters -->
</analyzer>
<analyzer type="query">
  <tokenizer class="solr.WhitespaceTokenizerFactory"/>
  <filter class="solr.WordDelimiterGraphFilterFactory"/>
</analyzer>

In: "hot-spot RoboBlaster/9000 100XL"

Tokenizer to Filter: "hot-spot", "RoboBlaster/9000", "100XL"

Out: "hot", "spot", "Robo", "Blaster", "9000", "100", "XL"

Example:

Do not split on case changes, and do not generate number parts. Note that by not generating number parts, tokens containing only numeric parts are ultimately discarded.

<analyzer type="query">
  <tokenizer name="whitespace"/>
  <filter name="wordDelimiterGraph" generateNumberParts="0" splitOnCaseChange="0"/>
</analyzer>

In: "hot-spot RoboBlaster/9000 100-42"

Tokenizer to Filter: "hot-spot", "RoboBlaster/9000", "100-42"

Out: "hot", "spot", "RoboBlaster", "9000"

Example:

Concatenate word parts and number parts, but not word and number parts that occur in the same token.

<analyzer type="query">
  <tokenizer name="whitespace"/>
  <filter name="wordDelimiterGraph" catenateWords="1" catenateNumbers="1"/>
</analyzer>

In: "hot-spot 100+42 XL40"

Tokenizer to Filter: "hot-spot"(1), "100+42"(2), "XL40"(3)

Out: "hot"(1), "spot"(2), "hotspot"(2), "100"(3), "42"(4), "10042"(4), "XL"(5), "40"(6)

Example:

Concatenate all. Word and/or number parts are joined together.

<analyzer type="query">
  <tokenizer name="whitespace"/>
  <filter name="wordDelimiterGraph" catenateAll="1"/>
</analyzer>

In: "XL-4000/ES"

Tokenizer to Filter: "XL-4000/ES"(1)

Out: "XL"(1), "4000"(2), "ES"(3), "XL4000ES"(3)

Example:

Using a protected words list that contains "AstroBlaster" and "XL-5000" (among others).

<analyzer type="query">
  <tokenizer name="whitespace"/>
  <filter name="wordDelimiterGraph" protected="protwords.txt"/>
</analyzer>

In: "FooBar AstroBlaster XL-5000 ==ES-34-"

Tokenizer to Filter: "FooBar", "AstroBlaster", "XL-5000", "==ES-34-"

Out: "FooBar", "FooBar", "AstroBlaster", "XL-5000", "ES", "34"