Strange.
Your script does not work on my end.
I think it's may be because you already have a test index before starting your test???
Actually, I did not get any bucket as an answer.
And that's normal to me as you defined a nested doc.
This script works fine for me: https://gist.github.com/dadoonet/a04013991566b8a5ec39
It gives:
{
"took": 7,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 0,
"hits": []
},
"aggregations": {
"popular_devices": {
"buckets": [
{
"key": "LGE LG-P768",
"doc_count": 1
},
{
"key": "Samsung SHW-M250S",
"doc_count": 1
}
]
}
}
}
--
David Pilato | Technical Advocate | Elasticsearch.com
@dadoonet | @elasticsearchfr
Le 3 juillet 2014 à 18:47:51, Ankit Jain (ankit@quettra.com) a écrit:
Not sure what a SENSE script is but below is how to reproduce this. Let me know if this makes sense.
Thank you for helping.
-Ankit
ankit$ curl -XPUT http://localhost:9200/test -d '"mappings": { "test": { "properties": { "deviceId": { "type": "string", "index": "not_analyzed" }, "basics": { "type": "nested", "properties": { "sex": { "type": "string", "index": "not_analyzed" }, "device": { "type": "string", "index": "not_analyzed" } } } } } } }'
{"acknowledged":true}
ankit$ curl -XPUT 'http://localhost:9200/test/test/1' -d '{ "basics": { "sex": "m", "device": "LGE LG-P768" }, "deviceId": "1" }'
{"_index":"test","_type":"test","_id":"1","_version":1,"created":true}
ankit$ curl -XPUT 'http://localhost:9200/test/test/2' -d '{ "basics": { "sex": "m", "device": "Samsung SHW-M250S" }, "deviceId": "2" }'
{"_index":"test","_type":"test","_id":"2","_version":1,"created":true}
ankit$ curl -XGET 'http://localhost:9200/test/test/_search?search_type=count&pretty' -d '{ "aggregations": { "popular_devices": { "terms": { "field": "device" } } } }'
{
"took" : 2,
"timed_out" : false,
"_shards" : {
"total" : 5,
"successful" : 5,
"failed" : 0
},
"hits" : {
"total" : 2,
"max_score" : 0.0,
"hits" : [ ]
},
"aggregations" : {
"popular_devices" : {
"buckets" : [ {
"key" : "lg",
"doc_count" : 1
}, {
"key" : "lge",
"doc_count" : 1
}, {
"key" : "m250s",
"doc_count" : 1
}, {
"key" : "p768",
"doc_count" : 1
}, {
"key" : "samsung",
"doc_count" : 1
}, {
"key" : "shw",
"doc_count" : 1
} ]
}
}
}
On Thursday, July 3, 2014 1:08:13 AM UTC-7, David Pilato wrote:
Yes. Using not_analyzed is the way to go.
May be you could create a SENSE script and gist it so we can see what you did wrong?
--
David 
Twitter : @dadoonet / @elasticsearchfr / @scrutmydocs
Le 3 juil. 2014 à 09:47, Ankit Jain an...@quettra.com a écrit :
Hey Folks, how do I do aggregations on a multi word field? i.e. if i have a field named "device model" which could have "samsung galaxy s5" or "iphone 5s" when I do an aggregation, it aggregates "samsung" separately from "galaxy" separately from "s5"... ideas?
I tried defining the index with a mapping where that field has index : not_analyzed set...
Thanks in advance,
Ankit!
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