Indexing phone numbers & sip addresses in lucene is complicated. Most people use ngram tokenizers. We did that for a while with ngram min=3 & max=35, but the result was often 100s of tokens per sip address. Working in a call center focused company we quickly figured out how wasteful that is on the storage front. For us 6/7ths of our indexes were waisted on useless sip address tokens.

It's a hard problem to regex your way out of. An international phone number often includes a country code, but that can be 1, 2, or 3+ digits. A lot of people have requested elasticsearch integrate google's libphone library into a custom lucene analyzer. It hasn't happened yet, so here's a plugin that attempts to do just that.

Note: This is a young project we're just starting to do testing on 8/3/2015. We'll improve as time goes on, but use at your own risk.

mvn package
./bin/elasticsearch-plugin install file:///....elasticsearch-phone/target/releases/elasticsearch-phone-1.2.0.zip;

Provide a telephone or sip address prefixed by "tel:" or "sip:" with no spaces or symbols.

Your indexing template will need to specify the analyzer for the field. EG "dnis": { "type": "string", "analyzer": "phone" },

Sample allowed inputs (see PhoneIntegrationTest for more) tel:+441344840400
tel:+498362930830
sip:abc@autosbcpc
sip:+13119310462;[email protected]:8060

INPUT (with country code derived with google liphone)

sip:+13169410766;[email protected]:8060

TOKENS

+13169410766;ext=2233
1
2233
3169410766
3
13
31
131
316
1316
3169
13169
31694
131694
316941
1316941
3169410
13169410
31694107
131694107
316941076
1316941076
3169410766
13169410766

INPUT (without a country code)

tel:8177148350

TOKENS

8177148350
8
81
817
8177
81771
817714
8177148
81771483
817714835
8177148350