The Analyzers and Terms

Elastic Stack Elasticsearch
4

What you did not understand in the link I mentioned before?

Did you try it? What command did you send and what answer do you have?

--
David :wink:
Twitter : @dadoonet / @elasticsearchfr / @scrutmydocs

Le 1 févr. 2013 à 11:35, Curt Hu zhongting.hu@gmail.com a écrit :

Hi, dadoonet
Thanks very much for your rely, I still got a little confused on this.
I need to apply the analyzer to the specific type? (for me example, is
jdbc),
How could I do that by put mapping api? Thanks.

dadoonet wrote

Your concern here is that you create an analyzer but you did not apply it
to your jdbc type.
So, Elasticsearch uses the default mapping.

Use the PUT Mapping API:
Elasticsearch Platform — Find real-time answers at scale | Elastic

Le 30 janv. 2013 à 10:10, Curt Hu <

zhongting.hu@

> a écrit :

Really got confused. Actually I want to the relationship between the
analyzer
and terms.
I created a customer analyzer with a new index.
curl -XPOST 'http://localhost:9200/curt' -d '
{
"settings":{
"analysis": {
"analyzer": {
"comma":{
"type": "custom",
"tokenizer": "commatokenizer"
}
},
"tokenizer": {
"commatokenizer":{
"type": "pattern",
"pattern": ","
}
}
}
}
}'

Just use comma to separate the token.
curl -XPUT 'http://localhost:9200/curt/jdbc/1' -d '{
"keywords" : "foo,bar baz"
}'

But When I do the following queries with terms facets:
{
"query": {
"bool": {
"must": [
{
"match_all": {}
}
],
"must_not": ,
"should":
}
},
"from": 0,
"size": 50,
"sort": ,
"facets": {
"termscount": {
"terms": {
"field": "keywords",
"size": 25
}
}
}
}

Why I get the following outputs??
"facets" : {
"termscount" : {
"_type" : "terms",
"missing" : 0,
"total" : 3,
"other" : 0,
"terms" : [ {
"term" : "foo",
"count" : 1
}, {
"term" : "baz",
"count" : 1
}, {
"term" : "bar",
"count" : 1
} ]
}
}

So there are 3 terms? Since I already use my analyzer to use comma to
separate the words, so there should be 2 terms, right? Can anyone explain
me
on this?

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