Thanks for that,I index the field value by string,but I put number in it
,here is the mapping:
{
"dn_item_log_mid": {
"properties": {
"dn_item": {
"type": "nested",
"properties": {
"column": {
"type": "string",
"index": "not_analyzed",
"omit_norms": true,
"index_options": "docs"
},
"value": {
"type": "string",
"index": "not_analyzed",
"omit_norms": true,
"index_options": "docs"
}
}
}
}
}
}
Is it affected?
在 2014年7月10日星期四UTC+8下午2时28分08秒，David Pilato写道：
>
> No.
>
> You need to reindex your data if you want to add a new field.
> Have a look at
> http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/docs-update.html
>
>
> --
> David ;-)
> Twitter : @dadoonet / @elasticsearchfr / @scrutmydocs
>
>
> Le 10 juil. 2014 à 05:06, Charles Chou <[email protected] <javascript:>> a
> écrit :
>
> I store numbers by using string type.when i filter these use script filter
> range like this:
>
> {
> "query": {
> "filtered": {
> "query": {
> "match_all": {}
> },
> "filter": {
> "nested": {
> "path": "pt_account",
> "filter": {
> "bool": {
> "must": [
>
> {
> "term": {
> "column": "mobile_account"
> }
> },
> {
> "script" : {
> "script" : "doc['value'].value >= param1 and
> doc['value'].value <= param2",
> "params" : {
> "param1" : "15091568126",
> "param2" : "15191568126"
> }
> }
> }
>
> ]
> }
> }
> }
> }
> }
> }
> }
>
> Will this field value reindex when i filter like that,how do i to Improve
> Performance ? Thank you!
>
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