elasticsearch - How to define specific field tokenization on Logstash -


i using logstash index mysql data on elasticsearch:

input {     jdbc {       // jdbc configurations     } } output {     elasticsearch {         index => ""         document_type => ""         document_id => ""         hosts => [ "" ]     } }

when checking results found elasticsearch automatically tokenizes text this:

"foo/bar" -> "foo", "bar" "the thing" -> "the", "thing" "fork, knife" -> "fork", "knife"

well, ok of fields. there 1 specific field i'd have custom tokenizer. comma separated field (or semi-colon separated). should be:

"foo/bar" -> "foo/bar" "the thing" -> "the thing" "fork, knife" -> "fork", "knife"

i wander if there way configure on logstash configuration.

update:

this 1 example of index have. specific field kind:

{   "index-name": {     "aliases": {},     "mappings": {       "my-type": {         "properties": {           "@timestamp": {             "type": "date",             "format": "strict_date_optional_time||epoch_millis"           },           "@version": {             "type": "string"           },           "kind": {             "type": "string"           },           "id": {             "type": "long"           },           "text": {             "type": "string"           },           "version": {             "type": "string"           }         }       }     },     "settings": {       "index": {         "creation_date": "",         "number_of_shards": "",         "number_of_replicas": "",         "uuid": "",         "version": {           "created": ""         }       }     },     "warmers": {}   } }

it's possible using index template.

first delete current index:

delete index_name

then create template index appropriate mapping kind field, this:

put _template/index_name {   "template": "index-name",   "mappings": {     "my-type": {       "properties": {         "@timestamp": {           "type": "date",           "format": "strict_date_optional_time||epoch_millis"         },         "@version": {           "type": "string"         },         "kind": {           "type": "string",           "index": "not_analyzed"         },         "id": {           "type": "long"         },         "text": {           "type": "string"         },         "version": {           "type": "string"         }       }     }   } }

then can run logstash again , index re-created proper mapping.


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