That's spot on. Thanks!
On 18 Aug 2014 09:08, "Adrien Grand" <[email protected]> wrote:
> Hi John,
>
> You should be able to do something like:
>
> {
> "aggs": {
> "verb": {
> "terms": {
> "field": "verb"
> },
> "aggs": {
> "load_time_outliers": {
> "percentiles": {
> "field": "responsetime"
> }
> }
> }
> }
> }
> }
>
> This will first break down your documents according to the http verb that
> is being used and then compute percentiles separately for each unique verb.
>
>
>
> On Fri, Aug 15, 2014 at 11:23 AM, John Ogden <[email protected]>
> wrote:
>
>> Hi,
>>
>> Am trying to run a single command which calculates percentiles for
>> multiple search queries.
>> The data for this is an Apache log file, and I want to get the percentile
>> response times for the gets, posts, heads (etc) in one go
>>
>> If I run this:
>> curl -XPOST 'http://localhost:9200/_search?search_type=count&pretty=true'
>> -d '{
>> "facets": {
>> "0": {"query" : {"term" : { "verb" : "get" }}},
>> "1": {"query" : {"term" : { "verb" : "post" }}}
>> },
>> "aggs" : {"load_time_outlier" : {"percentiles" : {"field" :
>> "responsetime"}}}
>> }'
>>
>> The response I get back has the counts for each subquery but only does
>> the aggregations for the overall dataset
>> "facets" : {
>> "0" : {
>> "_type" : "query",
>> "count" : 5678
>> },
>> "1" : {
>> "_type" : "query",
>> "count" : 1234
>> }
>> },
>> "aggregations" : {
>> "load_time_outlier" : {
>> "values" : {
>> "1.0" : 0.0,
>> ...
>> "99.0" : 1234
>> }
>> }
>> }
>>
>> I cant figure out how to structure the request so that I get the
>> percentiles separately for each of the queries
>>
>> Could someone point me in in the right direction please
>>
>> Many thanks
>> John
>>
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>
>
>
> --
> Adrien Grand
>
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