unfortunately the same "issue".
The Ranged based Aggregation returns me:
"starRating": {
"buckets": [
{
"key": "0.0-0.0",
"from": 0.0,
"from_as_string": "0.0",
"to": 0.0,
"to_as_string": "0.0",
"doc_count": 0
},
{
"key": "1.0-1.0",
"from": 1.0,
"from_as_string": "1.0",
"to": 1.0,
"to_as_string": "1.0",
"doc_count": 0
},
{
"key": "2.0-2.0",
"from": 2.0,
"from_as_string": "2.0",
"to": 2.0,
"to_as_string": "2.0",
"doc_count": 0
},
{
"key": "3.0-3.0",
"from": 3.0,
"from_as_string": "3.0",
"to": 3.0,
"to_as_string": "3.0",
"doc_count": 0
},
{
"key": "4.0-4.0",
"from": 4.0,
"from_as_string": "4.0",
"to": 4.0,
"to_as_string": "4.0",
"doc_count": 0
},
{
"key": "5.0-5.0",
"from": 5.0,
"from_as_string": "5.0",
"to": 5.0,
"to_as_string": "5.0",
"doc_count": 0
}
]
}
It looks like, that the values are read / indexed "wrong". Whats strange,
the filtering by range works.
On Monday, April 27, 2015 at 12:52:35 PM UTC+2, deepak.chauhan wrote:
>
> Besides the Terms filter in aggregation , you should use range aggregation
> .
> It would work like..
>
> {
> "aggs": {
> stars" : {
> "range" : {
> "field" : "starRating" ,
> "ranges": [{
> "to": 5
> }, {
> "from": 5,
> "to": 10
> }, {
> "from": 10,
> "to": 15
> }, {
> "from": 15
> }]
>
> }
> }
> }
>
>
>
>
> On Mon, Apr 27, 2015 at 4:18 PM, <r...@hubrick.com <javascript:>> wrote:
>
>> Hey,
>>
>> I'm a little bit stucked using Terms aggregations on a numeric field.
>>
>> My schema looks like that:
>>
>> { ...
>> starRating:
>> {
>>
>> - type: "long"
>>
>> }
>> ...
>> }
>>
>> I pass documents there, works fine.
>> I query them, using a Range Query like, works also fine:
>>
>> {
>> "range": {
>> "starRating": {
>> "from": 0,
>> "to": 5,
>> }
>> }
>> }
>>
>> Whenever I ask for Term Aggregations like:
>>
>> {
>> "aggs": {
>> stars" : {
>> "terms" : { "field" : "starRating" }
>> }
>> }
>>
>> OR Facets with
>>
>> "facets" : {
>> "tag" : {
>> "terms" : {
>> "field" : "starRating"
>> }
>> }
>> }
>>
>> Strange values are returned:
>>
>> "facets": {
>> "tag": {
>> "_type": "terms",
>> "missing": 0,
>> "total": 3814,
>> "other": 0,
>> "terms": [
>> {
>> "term": 0.0,
>> "count": 2397
>> },
>> {
>> "term": 1.5E-323,
>> "count": 610
>> },
>> {
>> "term": 2.0E-323,
>> "count": 378
>> },
>> {
>> "term": 1.0E-323,
>> "count": 269
>> },
>> {
>> "term": 4.9E-324,
>> "count": 93
>> },
>> {
>> "term": 2.5E-323,
>> "count": 67
>> }
>> ]
>> }
>> },
>> "aggregations": {
>> "stars": {
>> "doc_count_error_upper_bound": 0,
>> "sum_other_doc_count": 0,
>> "buckets": [
>> {
>> "key": 0.0,
>> "doc_count": 2397
>> },
>> {
>> "key": 1.5E-323,
>> "doc_count": 610
>> },
>> {
>> "key": 2.0E-323,
>> "doc_count": 378
>> },
>> {
>> "key": 1.0E-323,
>> "doc_count": 269
>> },
>> {
>> "key": 4.9E-324,
>> "doc_count": 93
>> },
>> {
>> "key": 2.5E-323,
>> "doc_count": 67
>> }
>> ]
>> }
>> }
>>
>>
>> Even in the Java Client, I get DoubleTerms instead of LongTerms.
>>
>> Does anybody have an Idea, what wents wrong there. I would expect
>> Long-Keys and not Double keys (which are basically close to 0)
>> The Histogram (with interval of 1) also does not work, everything is
>> close to the zero valued key.
>>
>>
>> Cheers, Ralf
>>
>>
>>
>>
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