analyzer - Optimising ElasticSearch aggregated search suggestions -


i'm working on implementing autocomplete field suggestions contain number of matching documents.

i have implemented using terms aggregation include filter. instance given user typing 'chrysler' following query may generated:

{     "size": 0,     "query": {         "bool": {             "must": [                 ...             ]         }     },     "aggs": {         "filtered": {             "filter": {                 ...             },             "aggs": {                 "suggestions": {                     "terms": {                         "field": "preflabel",                         "include": "chry.*",                         "min_doc_count": 0                     }                 }             }         }     } }

this works fine , able data need. however, concerned not optimised , more done when documents indexed.

currently have following mapping:

{     ...     "preflabel":{         "type":"string",         "index":"not_analyzed"     } }

and wondering whether add analysed field, so:

{     ...     "preflabel":{         "type":"string",         "index":"not_analyzed",         "copy_to":"searchlabel"     },     "searchlabel":{         "type":"string",         "analyzer":"???"     } }

so question is: optimal index-time analyser this? (or, crazy?)

i think edge ngram tokenizer speed things up:

curl -xput 'localhost:9200/test_ngram' -d '{     "settings" : {         "analysis" : {             "analyzer" : {                 "suggester_analyzer" : {                     "tokenizer" : "ngram_tokenizer"                 }             },             "tokenizer" : {                 "ngram_tokenizer" : {                     "type" : "edgengram",                     "min_gram" : "2",                     "max_gram" : "7",                     "token_chars": [ "letter", "digit" ]                 }             }         }     },     "mappings": {         ...              "searchlabel": {                  "type": "string",                  "index_analyzer": "suggster_analyzer",                  "search_analyzer": "standard"              }         ...     } }'

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