Vineeth!

Thanks for your reply! I’ll try your solution,hope this can solve my problem.


Thanks && Best Regard!



在 2014年9月12日,0:12,vineeth mohan <[email protected]> 写道:

> Hello , 
> 
> I don't feel you can do this in a single call.
> What i have in mind would be 
> 
> Run a two level aggregation query with date histogram aggregation on first 
> level with date and term aggregation on second with sum aggregation on prize 
> field on second level. You might need to use nested aggregation also here.
> Once you get the results , choose the dates based on the criteria , i.e. sum 
> of prize more than 300. With the dates you are interested in , fire the next 
> query which has all interesting date ranges as range query. 
> Thanks
>          Vineeth
> 
> On Thu, Sep 11, 2014 at 5:04 PM, 闫旭 <[email protected]> wrote:
> Anyone can help this?
> 
> Thanks && Best Regard!
> 
> 在 2014年9月11日,13:24,闫旭 <[email protected]> 写道:
> 
>> Thank you !  But nested bool query can not plus all price with the data 
>> range. how  can i do this??
>> 
>> Thx again.
>> 
>> Thanks && Best Regard!
>> 
>> 在 2014年9月11日,12:04,vineeth mohan <[email protected]> 写道:
>> 
>>> Hello , 
>>> 
>>> 
>>> First you need to declare field details as nested. - 
>>> http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/mapping-nested-type.html#mapping-nested-type
>>> 
>>> Then do a bool query with the date range constrain and range constrain
>>> 
>>> Thanks
>>>             Vineeth
>>> 
>>> On Thu, Sep 11, 2014 at 8:53 AM, 闫旭 <[email protected]> wrote:
>>> Dear All!
>>> 
>>> I have a problem with a complex nested query
>>> the docs like this:
>>> _id:1
>>> {
>>>     "detail":[
>>>             {
>>>                     "date":"2014-09-01",
>>>                     "price”:50
>>>             },
>>>             {
>>>                     "date":"2014-09-02",
>>>                     "price”:100
>>>             },
>>>             {
>>>                     "date":"2014-09-03",
>>>                     "price":100
>>>             },
>>>             {
>>>                     "date":"2014-09-04",
>>>                     "price":200
>>>             }
>>>     ]
>>> 
>>> }
>>> _id:2
>>> {
>>>     "detail":[
>>>             {
>>>                     "date":"2014-09-01",
>>>                     "price":100
>>>             },
>>>             {
>>>                     "date":"2014-09-02",
>>>                     "price":200
>>>             },
>>>             {
>>>                     "date":"2014-09-03",
>>>                     "price":300
>>>             },
>>>             {
>>>                     "date":"2014-09-04",
>>>                     "price":200
>>>             }
>>>     ]
>>> 
>>> }
>>> I will filter the docs with “date in [2014-09-01, 2014-09-03] and 
>>> sum(price) > 300”.
>>> I only find some way with “aggregation”, but it can only stat the sum of 
>>> all docs.
>>> 
>>> How Can I solve the problem?? 
>>> 
>>> 
>>> Thanks && Best Regard!
>>> 
>>> 
>>> 
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>> 
> 
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