Change your mapping to:
DISPLAY_NAME": {
"type": "multi_field",
"fields": {
"AUTOCOMPLETE": {
"type": "string",
"index_analyzer":
"edge_ngram_keyword_lowercase_analyzer",
"include_in_all": false
},
"NAME": {
"type": "string",
"analyzer": "standard",
"include_in_all": false
}
}
}
the DISPLAY_NAME term will be indexed using
'edge_ngram_keyword_lowercase_analyzer'. When you search on DISPLAY_NAME
On Monday, April 28, 2014 2:31:24 PM UTC+1, cyrilforce wrote:
>
> Hi Dan,
>
> Not sure whether i have same understanding "*edge n-gram filter at search
> time*" refer to apply edge n-gram filter in the query ? If this is the
> case i think i didn't apply any analyzer in the query :
>
> *Here my query : *
>
> {
> "query" : {
> "multi_match": {
> "query": "happy",
> "fields": [ "DISPLAY_NAME.AUTOCOMPLETE" ]
> }
> },
> "sort" : [{
> "_score" : { "order" : "desc"},
> "DISPLAY_NAME.NAME" : { "order" : "asc" }}]
> }
>
>
>
> *The result : *
> https://gist.github.com/cheehoo/11371837
>
> As you notice in the result it returned :
>
> Happenings
> Happier?
>
> which aren't part of what i searched for.
>
>
> *The mapping : *
> https://gist.github.com/cheehoo/11371897
>
>
> *The index : *
> {
> "jdbc_dev": {
> "settings": {
> "index.number_of_shards": "5",
> "index.number_of_replicas": "1",
> "index.version.created": "900299",
> "index.analysis.filter.my_edge_ngram_filter.type": "edgeNGram",
>
> "index.analysis.analyzer.edge_ngram_keyword_lowercase_analyzer.filter.1":
> "lowercase",
>
> "index.analysis.analyzer.edge_ngram_keyword_lowercase_analyzer.filter.0":
> "my_edge_ngram_filter",
>
> "index.analysis.analyzer.edge_ngram_keyword_lowercase_analyzer.tokenizer":
> "keyword",
> "index.analysis.filter.my_edge_ngram_filter.min_gram": "2",
> "index.analysis.filter.my_edge_ngram_filter.max_gram": "30"
> }
> }
> }
>
>
>
>
> After that with Adrien suggestion i tried create the analyzer
>
> "analysis" : {
> "analyzer" : {
> "keyword_lowercase_analyzer" : {
> "tokenizer" : "keyword",
> "filter" : ["lowercase"]
> }
> }
> }
>
> and recreate the mapping with :
>
> "DISPLAY_NAME": {
>
> "type": "string",
> "search_analyzer" : "keyword_lowercase_analyzer"
>
> }
>
>
> however with this configuration it wasn't able to search via "hap" to
> return the following result :
>
>
> *1)Happy*
> *2)Happy birthday*
> *3)Happy valentine*
>
>
> Thanks
>
>
>
>
>
> On Mon, Apr 28, 2014 at 8:17 PM, Dan Tuffery <[email protected]<javascript:>
> > wrote:
>
>> As Adrien said don't apply the edge n-gram filter at search time. When
>> you tried it what does you mapping look like, because "hap" should return a
>> result.
>>
>> Dan
>>
>>
>> On Monday, April 28, 2014 12:41:38 PM UTC+1, cyrilforce wrote:
>>
>>> Hi dan
>>>
>>> I tried this before however it returns me some irrelevant result as well
>>> :
>>> https://gist.github.com/cheehoo/11365794
>>>
>>> How I could get only the relevant result with the sorting via edge ngram
>>> ? Thanks
>>> On Apr 28, 2014 7:36 PM, "Dan Tuffery" <[email protected]> wrote:
>>>
>>>> To return the query results in the order you want, execute the sort
>>>> on a not_analyzed version of the term, i.e
>>>>
>>>> "DISPLAY_NAME": {
>>>> "type": "string",
>>>> "fields": {
>>>> "NAME": {
>>>> "type": "string",
>>>> "analyzer": "edge_ngram_keyword_lowercase_analyzer"
>>>> },
>>>> "untouched":{
>>>> "type": "string",
>>>> "analyzer":"not_analyzed"
>>>> }
>>>> }
>>>> }
>>>>
>>>> Reindex the data. Now in your query you can sort on the 'untouched'
>>>> field:
>>>>
>>>> {
>>>> "from" : "0",
>>>> "size" : "20",
>>>> "explain" : true,
>>>>
>>>> "query" : {
>>>> "multi_match": {
>>>> "query": "happy",
>>>> "fields": [ "DISPLAY_NAME.name"]
>>>> }
>>>> },
>>>> "sort" : [{
>>>> "DISPLAY_NAME.untouched" : { "order" : "desc"}}]
>>>> }
>>>>
>>>> which will return
>>>>
>>>> *1)Happy*
>>>> *2)Happy birthday*
>>>> *3)Happy valentine*
>>>>
>>>> Dan
>>>>
>>>>
>>>> On Monday, April 28, 2014 9:50:44 AM UTC+1, cyrilforce wrote:
>>>>>
>>>>> Hi All,
>>>>>
>>>>> I am trying to use *edge-ngram filter *to achieve auto-completion
>>>>> behaviour. However when i run the following query :
>>>>>
>>>>> {
>>>>> "from" : "0",
>>>>> "size" : "20",
>>>>> "explain" : true,
>>>>>
>>>>> "query" : {
>>>>> *"multi_match": {*
>>>>> * "query": "happy",*
>>>>> * "fields": [ "DISPLAY_NAME.NAME <http://DISPLAY_NAME.NAME>"]*
>>>>> * }*
>>>>> },
>>>>> "sort" : [{
>>>>> "_score" : { "order" : "desc"}}]
>>>>> }
>>>>>
>>>>> It returns me documents :
>>>>>
>>>>> https://gist.github.com/cheehoo/11365794
>>>>>
>>>>>
>>>>> May i know how can i achieve the behaviour when i search "*happy*"
>>>>> then is should return me following result instead :
>>>>>
>>>>> *1)Happy*
>>>>> *2)Happy birthday*
>>>>> *3)Happy valentine*
>>>>>
>>>>>
>>>>> The analzyer configure :
>>>>>
>>>>> "analysis" : {
>>>>> "analyzer" : {
>>>>> "edge_ngram_keyword_lowercase_analyzer" : {
>>>>> "tokenizer" : "keyword",
>>>>> "filter" : ["my_edge_ngram_filter","lowercase"]
>>>>> }
>>>>> },
>>>>> "filter" : {
>>>>> "my_edge_ngram_filter" : {
>>>>> "type" : "edgeNGram",
>>>>> "min_gram" : "2",
>>>>> "max_gram" : "30"
>>>>>
>>>>> }
>>>>> }
>>>>> }
>>>>>
>>>>>
>>>>> The mapping :
>>>>> https://gist.github.com/cheehoo/11365917
>>>>>
>>>>> Thanks.
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> --
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>
>
>
> --
> Regards,
>
> Chee Hoo
>
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