- Elasticsearch Guide: other versions:
- Getting Started
- Setup Elasticsearch
- Breaking changes
- Breaking changes in 5.1
- Breaking changes in 5.0
- Search and Query DSL changes
- Mapping changes
- Percolator changes
- Suggester changes
- Index APIs changes
- Document API changes
- Settings changes
- Allocation changes
- HTTP changes
- REST API changes
- CAT API changes
- Java API changes
- Packaging
- Plugin changes
- Filesystem related changes
- Path to data on disk
- Aggregation changes
- Script related changes
- API Conventions
- Document APIs
- Search APIs
- Aggregations
- Metrics Aggregations
- Avg Aggregation
- Cardinality Aggregation
- Extended Stats Aggregation
- Geo Bounds Aggregation
- Geo Centroid Aggregation
- Max Aggregation
- Min Aggregation
- Percentiles Aggregation
- Percentile Ranks Aggregation
- Scripted Metric Aggregation
- Stats Aggregation
- Sum Aggregation
- Top hits Aggregation
- Value Count Aggregation
- Bucket Aggregations
- Children Aggregation
- Date Histogram Aggregation
- Date Range Aggregation
- Diversified Sampler Aggregation
- Filter Aggregation
- Filters Aggregation
- Geo Distance Aggregation
- GeoHash grid Aggregation
- Global Aggregation
- Histogram Aggregation
- IP Range Aggregation
- Missing Aggregation
- Nested Aggregation
- Range Aggregation
- Reverse nested Aggregation
- Sampler Aggregation
- Significant Terms Aggregation
- Terms Aggregation
- Pipeline Aggregations
- Avg Bucket Aggregation
- Derivative Aggregation
- Max Bucket Aggregation
- Min Bucket Aggregation
- Sum Bucket Aggregation
- Stats Bucket Aggregation
- Extended Stats Bucket Aggregation
- Percentiles Bucket Aggregation
- Moving Average Aggregation
- Cumulative Sum Aggregation
- Bucket Script Aggregation
- Bucket Selector Aggregation
- Serial Differencing Aggregation
- Matrix Aggregations
- Caching heavy aggregations
- Returning only aggregation results
- Aggregation Metadata
- Metrics Aggregations
- Indices APIs
- Create Index
- Delete Index
- Get Index
- Indices Exists
- Open / Close Index API
- Shrink Index
- Rollover Index
- Put Mapping
- Get Mapping
- Get Field Mapping
- Types Exists
- Index Aliases
- Update Indices Settings
- Get Settings
- Analyze
- Index Templates
- Shadow replica indices
- Indices Stats
- Indices Segments
- Indices Recovery
- Indices Shard Stores
- Clear Cache
- Flush
- Refresh
- Force Merge
- cat APIs
- Cluster APIs
- Query DSL
- Mapping
- Analysis
- Anatomy of an analyzer
- Testing analyzers
- Analyzers
- Tokenizers
- Token Filters
- Standard Token Filter
- ASCII Folding Token Filter
- Length Token Filter
- Lowercase Token Filter
- Uppercase Token Filter
- NGram Token Filter
- Edge NGram Token Filter
- Porter Stem Token Filter
- Shingle Token Filter
- Stop Token Filter
- Word Delimiter Token Filter
- Stemmer Token Filter
- Stemmer Override Token Filter
- Keyword Marker Token Filter
- Keyword Repeat Token Filter
- KStem Token Filter
- Snowball Token Filter
- Phonetic Token Filter
- 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
- CJK Bigram Token Filter
- Delimited Payload Token Filter
- Keep Words Token Filter
- Keep Types Token Filter
- Classic Token Filter
- Apostrophe Token Filter
- Decimal Digit Token Filter
- Fingerprint Token Filter
- Minhash Token Filter
- Character Filters
- Modules
- Index Modules
- Ingest Node
- Pipeline Definition
- Ingest APIs
- Accessing Data in Pipelines
- Handling Failures in Pipelines
- Processors
- Append Processor
- Convert Processor
- Date Processor
- Date Index Name Processor
- Fail Processor
- Foreach Processor
- Grok Processor
- Gsub Processor
- Join Processor
- JSON Processor
- Lowercase Processor
- Remove Processor
- Rename Processor
- Script Processor
- Set Processor
- Split Processor
- Sort Processor
- Trim Processor
- Uppercase Processor
- Dot Expander Processor
- How To
- Testing
- Glossary of terms
- Release Notes
- 5.1.2 Release Notes
- 5.1.1 Release Notes
- 5.1.0 Release Notes
- 5.0.2 Release Notes
- 5.0.1 Release Notes
- 5.0.0 Combined Release Notes
- 5.0.0 GA Release Notes
- 5.0.0-rc1 Release Notes
- 5.0.0-beta1 Release Notes
- 5.0.0-alpha5 Release Notes
- 5.0.0-alpha4 Release Notes
- 5.0.0-alpha3 Release Notes
- 5.0.0-alpha2 Release Notes
- 5.0.0-alpha1 Release Notes
- 5.0.0-alpha1 Release Notes (Changes previously released in 2.x)
WARNING: Version 5.1 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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