- Elasticsearch Guide: other versions:
- Getting Started
- Setup
- Breaking changes
- Breaking changes in 2.3
- Breaking changes in 2.2
- Breaking changes in 2.1
- Breaking changes in 2.0
- Removed features
- Network changes
- Multiple
path.data
striping - Mapping changes
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- Parent/Child changes
- Scripting changes
- Index API changes
- Snapshot and Restore changes
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cat
changes - Java API changes
- API Conventions
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- Aggregations
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- Avg Aggregation
- Cardinality Aggregation
- Extended Stats Aggregation
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- Indices APIs
- Create Index
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analyzer
boost
coerce
copy_to
doc_values
dynamic
enabled
fielddata
format
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geohash_precision
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ignore_above
ignore_malformed
include_in_all
index
index_options
lat_lon
fields
norms
null_value
position_increment_gap
precision_step
properties
search_analyzer
similarity
store
term_vector
- Dynamic Mapping
- Transform
- Analysis
- Analyzers
- Tokenizers
- Token Filters
- Standard Token Filter
- ASCII Folding Token Filter
- Length Token Filter
- Lowercase Token Filter
- Uppercase Token Filter
- NGram Token Filter
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- Porter Stem Token Filter
- Shingle Token Filter
- Stop Token Filter
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- Stemmer Override Token Filter
- Keyword Marker Token Filter
- Keyword Repeat Token Filter
- KStem Token Filter
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- Synonym Token Filter
- Compound Word Token Filter
- Reverse Token Filter
- Elision Token Filter
- Truncate Token Filter
- Unique Token Filter
- Pattern Capture Token Filter
- Pattern Replace Token Filter
- Trim Token Filter
- Limit Token Count Token Filter
- Hunspell Token Filter
- Common Grams Token Filter
- Normalization Token Filter
- CJK Width Token Filter
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- Classic Token Filter
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- Character Filters
- Modules
- Index Modules
- Testing
- Glossary of terms
- Release Notes
- 2.3.5 Release Notes
- 2.3.4 Release Notes
- 2.3.3 Release Notes
- 2.3.2 Release Notes
- 2.3.1 Release Notes
- 2.3.0 Release Notes
- 2.2.2 Release Notes
- 2.2.1 Release Notes
- 2.2.0 Release Notes
- 2.1.2 Release Notes
- 2.1.1 Release Notes
- 2.1.0 Release Notes
- 2.0.2 Release Notes
- 2.0.1 Release Notes
- 2.0.0 Release Notes
- 2.0.0-rc1 Release Notes
- 2.0.0-beta2 Release Notes
- 2.0.0-beta1 Release Notes
WARNING: Version 2.3 of Elasticsearch has passed its EOL date.
This documentation is no longer being maintained and may be removed. If you are running this version, we strongly advise you to upgrade. For the latest information, see the current release documentation.
Synonym Token Filter
editSynonym Token Filter
editThe synonym
token filter allows to easily handle synonyms during the
analysis process. Synonyms are configured using a configuration file.
Here is an example:
{ "index" : { "analysis" : { "analyzer" : { "synonym" : { "tokenizer" : "whitespace", "filter" : ["synonym"] } }, "filter" : { "synonym" : { "type" : "synonym", "synonyms_path" : "analysis/synonym.txt" } } } } }
The above configures a synonym
filter, with a path of
analysis/synonym.txt
(relative to the config
location). The
synonym
analyzer is then configured with the filter. Additional
settings are: ignore_case
(defaults to false
), and expand
(defaults to true
).
The tokenizer
parameter controls the tokenizers that will be used to
tokenize the synonym, and defaults to the whitespace
tokenizer.
Two synonym formats are supported: Solr, WordNet.
Solr synonyms
editThe following is a sample format of the file:
# Blank lines and lines starting with pound are comments. # Explicit mappings match any token sequence on the LHS of "=>" # and replace with all alternatives on the RHS. These types of mappings # ignore the expand parameter in the schema. # Examples: i-pod, i pod => ipod, sea biscuit, sea biscit => seabiscuit # Equivalent synonyms may be separated with commas and give # no explicit mapping. In this case the mapping behavior will # be taken from the expand parameter in the schema. This allows # the same synonym file to be used in different synonym handling strategies. # Examples: ipod, i-pod, i pod foozball , foosball universe , cosmos # If expand==true, "ipod, i-pod, i pod" is equivalent # to the explicit mapping: ipod, i-pod, i pod => ipod, i-pod, i pod # If expand==false, "ipod, i-pod, i pod" is equivalent # to the explicit mapping: ipod, i-pod, i pod => ipod # Multiple synonym mapping entries are merged. foo => foo bar foo => baz # is equivalent to foo => foo bar, baz
You can also define synonyms for the filter directly in the
configuration file (note use of synonyms
instead of synonyms_path
):
{ "filter" : { "synonym" : { "type" : "synonym", "synonyms" : [ "i-pod, i pod => ipod", "universe, cosmos" ] } } }
However, it is recommended to define large synonyms set in a file using
synonyms_path
, because specifying them inline increases cluster size unnecessarily.
WordNet synonyms
editSynonyms based on WordNet format can be
declared using format
:
{ "filter" : { "synonym" : { "type" : "synonym", "format" : "wordnet", "synonyms" : [ "s(100000001,1,'abstain',v,1,0).", "s(100000001,2,'refrain',v,1,0).", "s(100000001,3,'desist',v,1,0)." ] } } }
Using synonyms_path
to define WordNet synonyms in a file is supported
as well.
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