ElasticSearch Autocomplete Feature

CY_Kuek · January 27, 2015, 10:18am

Hi All,

I am new to ElasticSearch and currently I am using ElasticSearch to connect
to MongoDB for indexing and searching. I would like to implement keyword
auto-complete feature like search engines which provide a list of
suggestion keyword when user key in partial keywords. I had a document
which contains many fields and I only want the auto-complete keyword to
search on 4 fields (title, description, category and sub-category) . Below
is the index that I am creating:

curl -XPUT http://localhost:9200/testindex -d '
{

"settings": {*
```
 "analysis":{*
```
```
     "filter":{*
```
```
         "edge_nGram_filter":{*
```
```
             "type":"edgeNGram",*
```
```
             "min_gram": 1,*
```
```
             "max_gram": 50,*
```
```
             "token_chars": [*
```
```
                 "letter",*
```
```
                 "digit",*
```
```
                 "punctuation",*
```
```
                 "symbol"*
```
```
             ]*
```
```
         }*
```
```
     },*
```
```
     "analyzer": {*
```
```
         "edge_nGram_analyzer": {*
```
```
              "type": "custom",*
```

              "tokenizer": "whitespace",*

```
              "filter": [*
```
```
                  "lowercase",*
```
```
                  "asciifolding",*
```
```
                  "edge_nGram_filter"*
```
```
              ]*
```
```
         },*
```
```
         "whitespace_analyzer": {*
```
```
             "type": "custom",*
```

             "tokenizer": "whitespace",*

```
             "filter": [*
```
```
                 "lowercase",*
```
```
                 "asciifolding"*
```
```
             ]*
```
```
         }*
```
```
    }*
```
```
 }*
```
},*
"mappings" : {*
```
 "Merchant" : {*
```
```
     "_all": {*
```

       "index_analyzer": "edge_nGram_analyzer",*

       "search_analyzer": "whitespace_analyzer"*

```
     },*
```
```
     "properties" : {*
```
```
         "screenNm": {*
```
```
             "type": "string",*
```
```
             "index": "no",*
```
```
             "include_in_all": false*
```
```
         },*
```
```
         "categoryId": {*
```

                     "type": "long",  *

```
                     "index": "no",*
```

                     "include_in_all": false*

```
         },*
```
```
         "title": {*
```
```
             "type": "string",*
```
```
             "index": "not_analyzed"*
```
```
         },*
```
```
         "desc": {*
```
```
             "type": "string",*
```
```
             "index": "not_analyzed"*
```
```
         },*
```
```
        "email": {                  "type": "string",                
```
"index": "no", "include_in_all": false },
"createdAt": { "format": "dateOptionalTime",
"type": "date", "index": "no",
"include_in_all": false },
"subCategoryList": {*
```
             "properties" : {*
```
```
                 "subCategoryId": {*
```

                     "type": "long",  *

```
                     "index": "no",*
```

                     "include_in_all": false*

```
                 },*
```
```
                 "subCategory": {*
```

                     "type": "string",*

                     "index": "not_analyzed"*

```
                 }*
```
```
             }*
```
```
         },*
```
```
         "category": {*
```
```
             "type": "string",*
```
```
             "index": "not_analyzed"*
```
```
         }*
```
```
     }*
```
```
 }*
```
}*
}'

Below is my questions and I am hoping some of you could shed me some lights:

When I perform match query search on "_all" fields for keyword "food"
(I had set the returned record size to 6), I will get 6 documents which
match the *food *keyword in either of the fields (title, description,
category and sub-category). Result example as the following:

• title=FoodPandaToyShop, description=Desc1, category=toy,
sub-category=kids
• title=Restaurant B, description=Desc2, category=foodcategoryA,
sub-category=dairy
• title=Restaurant B, description=Desc3, category= foodcategoryB,
sub-category=dairy
• title=Restaurant B, description=Desc4, category= foodcategoryC,
sub-category=dairy
• title=Restaurant B, description=Desc5, category= foodcategoryD,
sub-category=dairy

So the list of string that we want are FoodPandaToyShop,
foodcategoryA, foodcategoryB, foodcategoryC, foodcategoryD. We need to
find a way to massage the data because we will received document back from
ElasticSearch instead of text string. Is there a way to get the text
instead of the whole document??
Can we perform my scenario using completion suggester?? As I need to
perform search on multiple fields.
Is performance a issue if I am using edgeNGram on large documents set?

Appreciate your help. Thanks a lot !!!

Regards,
CYea

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