# Combining two aggregations to get term percentage
**URL:** https://discuss.elastic.co/t/combining-two-aggregations-to-get-term-percentage/22201
**Category:** Elasticsearch
**Created:** [February 17, 2015, 1:07am UTC](https://discuss.elastic.co/t/combining-two-aggregations-to-get-term-percentage/22201 "2015-02-17T01:07:31Z")
**Posts on this page:** 6
**Page:** 1
### Author:  [@jarib](https://discuss.elastic.co/u/jarib)
#### Post date: [February 17, 2015, 1:07am UTC](https://discuss.elastic.co/t/combining-two-aggregations-to-get-term-percentage/22201/1 "2015-02-17T01:07:31Z")
Hi,
I'm looking for a way to have Elasticsearch calculate the percentage of
docs that match a query _within_ a terms aggregation.
That is, given two aggregations where one is filtered and the other is not:
{
aggregations: {
countries: {
filter: {
query: {
query\_string: {
default\_field: "description",
query: "foo"
}
}
},
aggregations: {
filteredCountries: {
terms: { field: "country" }
}
}
},
totalCountries: {
terms: { field: "countries" }
}
},
size: 0
}
Let's say the totalCountries buckets are:
```
"buckets": [
{
"key": "USA",
"doc_count": 100
},
{
"key": "UK",
"doc_count": 50
}
]
```
and the filteredCountries buckets are:
```
"buckets": [
{
"key": "USA",
"doc_count": 10
},
{
"key": "UK",
"doc_count": 25
}
]
```
Is there a way to get a response that returns filteredCountries as
percentages of totalCountries? I.e. something like:
[
{
"key": "USA",
"percent": 10
},
{
"key": "UK",
"percent": 50
}
]
Thanks!
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### Author:  [@Mark\_Harwood\_2](https://discuss.elastic.co/u/Mark_Harwood_2)
#### Post date: [February 17, 2015, 9:41am UTC](https://discuss.elastic.co/t/combining-two-aggregations-to-get-term-percentage/22201/2 "2015-02-17T09:41:11Z")
Nice to see someone taking the trouble to put their stats in context.
Drives me nuts every time I see the equivalent of this:
> **[Heatmap](https://xkcd.com/1138/)**
>
> There are also a lot of global versions of this map showing traffic to English-language websites which are indistinguishable from maps of the location of internet users who are native English speakers.
So we have a feature that does some of what you are after - it's called the
"significant\_terms" aggregation.
Your query would look like this:
{
"query" :
{
"match" : {
"text": "foo"
}
},
"aggs":{
"keywords":{
"significant\_terms":{
"field":"country",
"size":100
}
}
}
}
What you get back are buckets for each country with a doc\_count that
represents how many "foo" documents there were in that country and a
background count called "bg\_count" which is how many docs (foo and non foo)
came from that country. Selections are ranked using a score that is
returned and which is more nuanced than a straight doc\_count/bg\_count
percentage. In practice we find prioritizing selections solely by a
percentage measure can skew results towards very rare terms (in your case v
small countries) that have few data samples and so can more easily achieve
high-scoring percentages. Instead, we offer a variety of scoring heuristics
which place a different emphasis on popular vs rare when it comes to
ranking: (see [https://twitter.com/elasticmark/status/513320986956292096](https://twitter.com/elasticmark/status/513320986956292096) )
Cheers
Mark
On Tuesday, February 17, 2015 at 1:07:31 AM UTC, ja...@holderdeord.no wrote:
> Hi,
>
> I'm looking for a way to have Elasticsearch calculate the percentage of
> docs that match a query _within_ a terms aggregation.
> That is, given two aggregations where one is filtered and the other is not:
>
> {
> aggregations: {
> countries: {
> filter: {
> query: {
> query\_string: {
> default\_field: "description",
> query: "foo"
> }
> }
> },
> aggregations: {
> filteredCountries: {
> terms: { field: "country" }
> }
> }
> },
> totalCountries: {
> terms: { field: "countries" }
> }
> },
> size: 0
> }
>
> Let's say the totalCountries buckets are:
>
> ```
> "buckets": [
> {
> "key": "USA",
> "doc_count": 100
> },
> {
> "key": "UK",
> "doc_count": 50
> }
> ]
>
> ```
>
> and the filteredCountries buckets are:
>
> ```
> "buckets": [
> {
> "key": "USA",
> "doc_count": 10
> },
> {
> "key": "UK",
> "doc_count": 25
> }
> ]
>
> ```
>
> Is there a way to get a response that returns filteredCountries as
> percentages of totalCountries? I.e. something like:
>
> [
> {
> "key": "USA",
> "percent": 10
> },
> {
> "key": "UK",
> "percent": 50
> }
> ]
>
> Thanks!
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### Author:  [@jarib](https://discuss.elastic.co/u/jarib)
#### Post date: [February 17, 2015, 10:43am UTC](https://discuss.elastic.co/t/combining-two-aggregations-to-get-term-percentage/22201/3 "2015-02-17T10:43:46Z")
Thanks Mark!
I've been planning to look into `significant_terms`, but didn't know it
could help me with this. I'm a bit concerned that a too clever scoring
could be hard to explain to users, but I'll give it a shot.
On Tue, Feb 17, 2015 at 9:41 AM, Mark Harwood \<
[mark.harwood@elasticsearch.com](mailto:mark.harwood@elasticsearch.com)\> wrote:
> Nice to see someone taking the trouble to put their stats in context.
> Drives me nuts every time I see the equivalent of this:
> [xkcd: Heatmap](http://xkcd.com/1138/)
>
> So we have a feature that does some of what you are after - it's called
> the "significant\_terms" aggregation.
> Your query would look like this:
> {
> "query" :
> {
> "match" : {
> "text": "foo"
> }
> },
> "aggs":{
> "keywords":{
> "significant\_terms":{
> "field":"country",
> "size":100
> }
> }
> }
> }
>
> What you get back are buckets for each country with a doc\_count that
> represents how many "foo" documents there were in that country and a
> background count called "bg\_count" which is how many docs (foo and non foo)
> came from that country. Selections are ranked using a score that is
> returned and which is more nuanced than a straight doc\_count/bg\_count
> percentage. In practice we find prioritizing selections solely by a
> percentage measure can skew results towards very rare terms (in your case v
> small countries) that have few data samples and so can more easily achieve
> high-scoring percentages. Instead, we offer a variety of scoring heuristics
> which place a different emphasis on popular vs rare when it comes to
> ranking: (see [https://twitter.com/elasticmark/status/513320986956292096](https://twitter.com/elasticmark/status/513320986956292096) )
>
> Cheers
> Mark
>
> On Tuesday, February 17, 2015 at 1:07:31 AM UTC, ja...@holderdeord.no
> wrote:
>
> > Hi,
> >
> > I'm looking for a way to have Elasticsearch calculate the percentage of
> > docs that match a query _within_ a terms aggregation.
> > That is, given two aggregations where one is filtered and the other is
> > not:
> >
> > {
> > aggregations: {
> > countries: {
> > filter: {
> > query: {
> > query\_string: {
> > default\_field: "description",
> > query: "foo"
> > }
> > }
> > },
> > aggregations: {
> > filteredCountries: {
> > terms: { field: "country" }
> > }
> > }
> > },
> > totalCountries: {
> > terms: { field: "countries" }
> > }
> > },
> > size: 0
> > }
> >
> > Let's say the totalCountries buckets are:
> >
> > ```
> > "buckets": [
> > {
> > "key": "USA",
> > "doc_count": 100
> > },
> > {
> > "key": "UK",
> > "doc_count": 50
> > }
> > ]
> >
> > ```
> >
> > and the filteredCountries buckets are:
> >
> > ```
> > "buckets": [
> > {
> > "key": "USA",
> > "doc_count": 10
> > },
> > {
> > "key": "UK",
> > "doc_count": 25
> > }
> > ]
> >
> > ```
> >
> > Is there a way to get a response that returns filteredCountries as
> > percentages of totalCountries? I.e. something like:
> >
> > [
> > {
> > "key": "USA",
> > "percent": 10
> > },
> > {
> > "key": "UK",
> > "percent": 50
> > }
> > ]
> >
> > Thanks!
>
> --
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> .
>
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### Author:  [@Mark\_Harwood\_2](https://discuss.elastic.co/u/Mark_Harwood_2)
#### Post date: [February 17, 2015, 10:52am UTC](https://discuss.elastic.co/t/combining-two-aggregations-to-get-term-percentage/22201/4 "2015-02-17T10:52:36Z")
You can choose to ignore the score and compute your own by dividing
doc\_count by bg\_count.
Your post has made me think we should add this more easily explainable
metric as one of the scoring heuristics we offer for this aggregation.
On Tuesday, February 17, 2015 at 10:44:12 AM UTC, Jari Bakken wrote:
> Thanks Mark!
>
> I've been planning to look into `significant_terms`, but didn't know it
> could help me with this. I'm a bit concerned that a too clever scoring
> could be hard to explain to users, but I'll give it a shot.
>
> On Tue, Feb 17, 2015 at 9:41 AM, Mark Harwood \<[mark.h...@elasticsearch.com](mailto:mark.h...@elasticsearch.com)
> \\> wrote:
>
> > Nice to see someone taking the trouble to put their stats in context.
> > Drives me nuts every time I see the equivalent of this:
> > [xkcd: Heatmap](http://xkcd.com/1138/)
> >
> > So we have a feature that does some of what you are after - it's called
> > the "significant\_terms" aggregation.
> > Your query would look like this:
> > {
> > "query" :
> > {
> > "match" : {
> > "text": "foo"
> > }
> > },
> > "aggs":{
> > "keywords":{
> > "significant\_terms":{
> > "field":"country",
> > "size":100
> > }
> > }
> > }
> > }
> >
> > What you get back are buckets for each country with a doc\_count that
> > represents how many "foo" documents there were in that country and a
> > background count called "bg\_count" which is how many docs (foo and non foo)
> > came from that country. Selections are ranked using a score that is
> > returned and which is more nuanced than a straight doc\_count/bg\_count
> > percentage. In practice we find prioritizing selections solely by a
> > percentage measure can skew results towards very rare terms (in your case v
> > small countries) that have few data samples and so can more easily achieve
> > high-scoring percentages. Instead, we offer a variety of scoring heuristics
> > which place a different emphasis on popular vs rare when it comes to
> > ranking: (see [https://twitter.com/elasticmark/status/513320986956292096](https://twitter.com/elasticmark/status/513320986956292096) )
> >
> > Cheers
> > Mark
> >
> > On Tuesday, February 17, 2015 at 1:07:31 AM UTC, ja...@holderdeord.no
> > wrote:
> >
> > > Hi,
> > >
> > > I'm looking for a way to have Elasticsearch calculate the percentage of
> > > docs that match a query _within_ a terms aggregation.
> > > That is, given two aggregations where one is filtered and the other is
> > > not:
> > >
> > > {
> > > aggregations: {
> > > countries: {
> > > filter: {
> > > query: {
> > > query\_string: {
> > > default\_field: "description",
> > > query: "foo"
> > > }
> > > }
> > > },
> > > aggregations: {
> > > filteredCountries: {
> > > terms: { field: "country" }
> > > }
> > > }
> > > },
> > > totalCountries: {
> > > terms: { field: "countries" }
> > > }
> > > },
> > > size: 0
> > > }
> > >
> > > Let's say the totalCountries buckets are:
> > >
> > > ```
> > > "buckets": [
> > > {
> > > "key": "USA",
> > > "doc_count": 100
> > > },
> > > {
> > > "key": "UK",
> > > "doc_count": 50
> > > }
> > > ]
> > >
> > > ```
> > >
> > > and the filteredCountries buckets are:
> > >
> > > ```
> > > "buckets": [
> > > {
> > > "key": "USA",
> > > "doc_count": 10
> > > },
> > > {
> > > "key": "UK",
> > > "doc_count": 25
> > > }
> > > ]
> > >
> > > ```
> > >
> > > Is there a way to get a response that returns filteredCountries as
> > > percentages of totalCountries? I.e. something like:
> > >
> > > [
> > > {
> > > "key": "USA",
> > > "percent": 10
> > > },
> > > {
> > > "key": "UK",
> > > "percent": 50
> > > }
> > > ]
> > >
> > > Thanks!
> >
> > --
> > You received this message because you are subscribed to a topic in the
> > Google Groups "elasticsearch" group.
> > To unsubscribe from this topic, visit
> > [https://groups.google.com/d/topic/elasticsearch/1ojltqSRdhA/unsubscribe](https://groups.google.com/d/topic/elasticsearch/1ojltqSRdhA/unsubscribe).
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> > .
> >
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### Author:  [@jarib](https://discuss.elastic.co/u/jarib)
#### Post date: [February 17, 2015, 12:11pm UTC](https://discuss.elastic.co/t/combining-two-aggregations-to-get-term-percentage/22201/5 "2015-02-17T12:11:45Z")
Yes!
If I have to do the division on my own I might as well stick with the two
aggregations, AFAICT.
But if it was available as a scoring heuristic I could effectively use {size:
N} so I don’t have to fetch the full set of countries to do this
calculation.
I’ve opened a feature request here
[https://github.com/elasticsearch/elasticsearch/issues/9720](https://github.com/elasticsearch/elasticsearch/issues/9720).
On Tue, Feb 17, 2015 at 10:52 AM, Mark Harwood \<
[mark.harwood@elasticsearch.com](mailto:mark.harwood@elasticsearch.com)\> wrote:
> You can choose to ignore the score and compute your own by dividing
> doc\_count by bg\_count.
> Your post has made me think we should add this more easily explainable
> metric as one of the scoring heuristics we offer for this aggregation.
>
> On Tuesday, February 17, 2015 at 10:44:12 AM UTC, Jari Bakken wrote:
>
> > Thanks Mark!
> >
> > I've been planning to look into `significant_terms`, but didn't know it
> > could help me with this. I'm a bit concerned that a too clever scoring
> > could be hard to explain to users, but I'll give it a shot.
> >
> > On Tue, Feb 17, 2015 at 9:41 AM, Mark Harwood \ > com\> wrote:
> >
> > > Nice to see someone taking the trouble to put their stats in context.
> > > Drives me nuts every time I see the equivalent of this:
> > > [xkcd: Heatmap](http://xkcd.com/1138/)
> > >
> > > So we have a feature that does some of what you are after - it's called
> > > the "significant\_terms" aggregation.
> > > Your query would look like this:
> > > {
> > > "query" :
> > > {
> > > "match" : {
> > > "text": "foo"
> > > }
> > > },
> > > "aggs":{
> > > "keywords":{
> > > "significant\_terms":{
> > > "field":"country",
> > > "size":100
> > > }
> > > }
> > > }
> > > }
> > >
> > > What you get back are buckets for each country with a doc\_count that
> > > represents how many "foo" documents there were in that country and a
> > > background count called "bg\_count" which is how many docs (foo and non foo)
> > > came from that country. Selections are ranked using a score that is
> > > returned and which is more nuanced than a straight doc\_count/bg\_count
> > > percentage. In practice we find prioritizing selections solely by a
> > > percentage measure can skew results towards very rare terms (in your case v
> > > small countries) that have few data samples and so can more easily achieve
> > > high-scoring percentages. Instead, we offer a variety of scoring heuristics
> > > which place a different emphasis on popular vs rare when it comes to
> > > ranking: (see [https://twitter.com/elasticmark/status/513320986956292096](https://twitter.com/elasticmark/status/513320986956292096)
> > > )
> > >
> > > Cheers
> > > Mark
> > >
> > > On Tuesday, February 17, 2015 at 1:07:31 AM UTC, ja...@holderdeord.no
> > > wrote:
> > >
> > > > Hi,
> > > >
> > > > I'm looking for a way to have Elasticsearch calculate the percentage of
> > > > docs that match a query _within_ a terms aggregation.
> > > > That is, given two aggregations where one is filtered and the other is
> > > > not:
> > > >
> > > > {
> > > > aggregations: {
> > > > countries: {
> > > > filter: {
> > > > query: {
> > > > query\_string: {
> > > > default\_field: "description",
> > > > query: "foo"
> > > > }
> > > > }
> > > > },
> > > > aggregations: {
> > > > filteredCountries: {
> > > > terms: { field: "country" }
> > > > }
> > > > }
> > > > },
> > > > totalCountries: {
> > > > terms: { field: "countries" }
> > > > }
> > > > },
> > > > size: 0
> > > > }
> > > >
> > > > Let's say the totalCountries buckets are:
> > > >
> > > > ```
> > > > "buckets": [
> > > > {
> > > > "key": "USA",
> > > > "doc_count": 100
> > > > },
> > > > {
> > > > "key": "UK",
> > > > "doc_count": 50
> > > > }
> > > > ]
> > > >
> > > > ```
> > > >
> > > > and the filteredCountries buckets are:
> > > >
> > > > ```
> > > > "buckets": [
> > > > {
> > > > "key": "USA",
> > > > "doc_count": 10
> > > > },
> > > > {
> > > > "key": "UK",
> > > > "doc_count": 25
> > > > }
> > > > ]
> > > >
> > > > ```
> > > >
> > > > Is there a way to get a response that returns filteredCountries as
> > > > percentages of totalCountries? I.e. something like:
> > > >
> > > > [
> > > > {
> > > > "key": "USA",
> > > > "percent": 10
> > > > },
> > > > {
> > > > "key": "UK",
> > > > "percent": 50
> > > > }
> > > > ]
> > > >
> > > > Thanks!
> > >
> > > --
> > > You received this message because you are subscribed to a topic in the
> > > Google Groups "elasticsearch" group.
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### Author:  [@system](https://discuss.elastic.co/u/system)
#### Post date: [July 6, 2017, 12:32am UTC](https://discuss.elastic.co/t/combining-two-aggregations-to-get-term-percentage/22201/6 "2017-07-06T00:32:12Z")