[[analysis-pattern-analyzer]] === Pattern Analyzer An analyzer of type `pattern` that can flexibly separate text into terms via a regular expression. Accepts the following settings: The following are settings that can be set for a `pattern` analyzer type: [cols="<,<",options="header",] |=================================================================== |Setting |Description |`lowercase` |Should terms be lowercased or not. Defaults to `true`. |`pattern` |The regular expression pattern, defaults to `\W+`. |`flags` |The regular expression flags. |`stopwords` |A list of stopwords to initialize the stop filter with. Defaults to an 'empty' stopword list added[1.0.0.RC1, Previously defaulted to the English stopwords list]. Check <> for more details. |=================================================================== *IMPORTANT*: The regular expression should match the *token separators*, not the tokens themselves. Flags should be pipe-separated, eg `"CASE_INSENSITIVE|COMMENTS"`. Check http://download.oracle.com/javase/6/docs/api/java/util/regex/Pattern.html#field_summary[Java Pattern API] for more details about `flags` options. [float] ==== Pattern Analyzer Examples In order to try out these examples, you should delete the `test` index before running each example: [source,js] -------------------------------------------------- curl -XDELETE localhost:9200/test -------------------------------------------------- [float] ===== Whitespace tokenizer [source,js] -------------------------------------------------- curl -XPUT 'localhost:9200/test' -d ' { "settings":{ "analysis": { "analyzer": { "whitespace":{ "type": "pattern", "pattern":"\\\\s+" } } } } }' curl 'localhost:9200/test/_analyze?pretty=1&analyzer=whitespace' -d 'foo,bar baz' # "foo,bar", "baz" -------------------------------------------------- [float] ===== Non-word character tokenizer [source,js] -------------------------------------------------- curl -XPUT 'localhost:9200/test' -d ' { "settings":{ "analysis": { "analyzer": { "nonword":{ "type": "pattern", "pattern":"[^\\\\w]+" } } } } }' curl 'localhost:9200/test/_analyze?pretty=1&analyzer=nonword' -d 'foo,bar baz' # "foo,bar baz" becomes "foo", "bar", "baz" curl 'localhost:9200/test/_analyze?pretty=1&analyzer=nonword' -d 'type_1-type_4' # "type_1","type_4" -------------------------------------------------- [float] ===== CamelCase tokenizer [source,js] -------------------------------------------------- curl -XPUT 'localhost:9200/test?pretty=1' -d ' { "settings":{ "analysis": { "analyzer": { "camel":{ "type": "pattern", "pattern":"([^\\\\p{L}\\\\d]+)|(?<=\\\\D)(?=\\\\d)|(?<=\\\\d)(?=\\\\D)|(?<=[\\\\p{L}&&[^\\\\p{Lu}]])(?=\\\\p{Lu})|(?<=\\\\p{Lu})(?=\\\\p{Lu}[\\\\p{L}&&[^\\\\p{Lu}]])" } } } } }' curl 'localhost:9200/test/_analyze?pretty=1&analyzer=camel' -d ' MooseX::FTPClass2_beta ' # "moose","x","ftp","class","2","beta" -------------------------------------------------- The regex above is easier to understand as: [source,js] -------------------------------------------------- ([^\\p{L}\\d]+) # swallow non letters and numbers, | (?<=\\D)(?=\\d) # or non-number followed by number, | (?<=\\d)(?=\\D) # or number followed by non-number, | (?<=[ \\p{L} && [^\\p{Lu}]]) # or lower case (?=\\p{Lu}) # followed by upper case, | (?<=\\p{Lu}) # or upper case (?=\\p{Lu} # followed by upper case [\\p{L}&&[^\\p{Lu}]] # then lower case ) --------------------------------------------------