


Elasticsearch Fuzzy Email or Telephone Matching
Question:
How can fuzzy matching be implemented for email addresses or telephone numbers using Elasticsearch? Specifically, how can one match all emails ending with "@gmail.com" or all telephone numbers starting with "136"?
Answer:
Utilizing custom analyzers for indexing and searching can facilitate fuzzy matching for email and telephone data.
Email Fuzzy Matching:
Configure an analyzer with the following settings:
-
Index analyzer: index_email_analyzer
- Standard tokenizer
- Lowercase and name-ngram filters
- Max gram: 20
-
Search analyzer: search_email_analyzer
- Standard tokenizer
- Lowercase filter
Telephone Number Fuzzy Matching:
Configure an analyzer with the following settings:
-
Index analyzer: index_phone_analyzer
- Digit-only filter
- Edge-ngram tokenizer (3-15 grams)
- Min gram: 1
- Max gram: 15
-
Search analyzer: search_phone_analyzer
- Digit-only filter
- Keyword tokenizer
Index Example:
PUT myindex { "settings": { "analysis": { "analyzer": { "email_url_analyzer": { "type": "custom", "tokenizer": "uax_url_email", "filter": [ "trim" ] }, "index_phone_analyzer": { "type": "custom", "char_filter": [ "digit_only" ], "tokenizer": "digit_edge_ngram_tokenizer", "filter": [ "trim" ] }, "search_phone_analyzer": { "type": "custom", "char_filter": [ "digit_only" ], "tokenizer": "keyword", "filter": [ "trim" ] }, "index_email_analyzer": { "type": "custom", "tokenizer": "standard", "filter": [ "lowercase", "name_ngram_filter", "trim" ] }, "search_email_analyzer": { "type": "custom", "tokenizer": "standard", "filter": [ "lowercase", "trim" ] } }, "char_filter": { "digit_only": { "type": "pattern_replace", "pattern": "\D+", "replacement": "" } }, "tokenizer": { "digit_edge_ngram_tokenizer": { "type": "edgeNGram", "min_gram": "1", "max_gram": "15", "token_chars": [ "digit" ] } }, "filter": { "name_ngram_filter": { "type": "ngram", "min_gram": "1", "max_gram": "20" } } } }, "mappings": { "your_type": { "properties": { "email": { "type": "string", "analyzer": "index_email_analyzer", "search_analyzer": "search_email_analyzer" }, "phone": { "type": "string", "analyzer": "index_phone_analyzer", "search_analyzer": "search_phone_analyzer" } } } } }
Search Queries:
- Match all emails ending with "@gmail.com":
POST myindex { "query": { "term": { "email": "@gmail.com" } } }
- Match all telephone numbers starting with "136":
POST myindex { "query": { "term": { "phone": "136" } } }
By utilizing these custom analyzers, Elasticsearch can perform fuzzy matching for email addresses and telephone numbers efficiently.
The above is the detailed content of How can I achieve efficient fuzzy matching for email addresses and phone numbers within Elasticsearch?. For more information, please follow other related articles on the PHP Chinese website!

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