As mentioned before, that syntax seems strange to me. I have never seen an
array used with a match query. I wonder what the resulting Lucene query is.
I think that analyzed/non-analyzed just might be a red herring. What does
the explanation output say?
--
Ivan
On Wed, Nov 19, 2014 at 10:24 AM, Ramdev Wudali <agasty...@gmail.com> wrote:
> The fields (I am searching against) are analyzed, by the default analyzer.
> The query as you I noted in my question was generated by using the JAVA
> API, So the array syntax is generated by the API's interpretation. That
> said, I ran a few more experiments. If the field were not analyzed (unlike
> my non experiment case), The query function works and returns the right
> documents. (meaning where both the values exist) in the returned
> documents. But if they are analyzed, the operator is not honored.
>
> So now my question is, why would not analyzed fields cause the operator
> to be honored ?
> and Does the operator field within a nested query depend on if the field
> in the nested field is actually analyzed or not. ?
>
> Ramdev
>
>
>
> On Tuesday, 18 November 2014 14:45:53 UTC-6, Ivan Brusic wrote:
>>
>> I have never seen the array syntax with the match query, so I am not sure
>> what the behavior should be. Since your search terms are not analyzed in
>> your example, a terms query with a minimum match of 100% should work. If
>> not, perhaps creating a single search term of your existing terms?
>>
>> --
>> Ivan
>>
>> On Tue, Nov 18, 2014 at 10:23 AM, Ramdev Wudali <agas...@gmail.com>
>> wrote:
>>
>>> Hi :
>>> I have the following query :
>>> {
>>> "query": {
>>> "bool": {
>>> "must": {
>>> "nested": {
>>> "query": {
>>> "bool": {
>>> "must": [
>>> {
>>> "match": {
>>> "NESTED_FIELD.v": {
>>> "query": [ "AAPL.OQ", "GOOGL.OQ"],
>>> "operator": "and"
>>>
>>> }
>>> }
>>> },
>>> {
>>> "range": {
>>> "NESTED_FIELD.s": {
>>> "from": 0.6,
>>> "to": null,
>>> "include_lower": true,
>>> "include_upper": true
>>> }
>>> }
>>> }
>>> ]
>>> }
>>> },
>>> "path": "NESTED_FIELD"
>>> }
>>> }
>>> }
>>> },
>>> "filter": {
>>> "bool": {
>>> "must": [
>>> {
>>> "range": {
>>> "DOC_DATE.v": {
>>> "from": "2014-08-19T20:00:00.000-04:00",
>>> "to": "2014-10-18T23:59:59.999Z",
>>> "include_lower": true,
>>> "include_upper": true
>>> }
>>> }
>>> }
>>> ]
>>> }
>>> }
>>> }
>>>
>>> The behavior I expect is the following :
>>>
>>> In the documents that are returned, they should contain both values for
>>> the NESTED_FIELD.v (AAPL.OQ and GOOG.OQ) that satisfy the condition where
>>> their corresponding NESTED_FIELD.v range also is satisfied.
>>>
>>> The behavior I see :
>>> the documents returned contain either one of the values (as in its
>>> got AAPL.OQ (OR) GOOG.OQ (OR) Both.
>>>
>>> I want documents that only have both the values. So the "operator"
>>> :"and" (and its variant "operator":"AND") does not seem to have any effect.
>>> any pointers suggestions regarding this is much appreciated. I am using
>>> the JAVA API to construct my queries. (but I do not think it should matter)
>>>
>>> Thanks
>>>
>>> Ramdev
>>>
>>>
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