Terms Aggregations

Hi,

I have a question about Aggregations. I have documents with several fields:

{
field1 : A,
field2: B,
field3: C,
size: 1,
}

{
field1 : A,
field2: B2,
field3: C2,
size: 2,
}

{
field1 : Z,
field2: B3,
field3: C3,
size: 99,
}

And I need to be able to calculate aggregations for each one of those
fields, and get the sum of the sizes for each field, so for example,
aggregating by field1 should get me { A, size = 3 }, {Z, size = 99}.

Looking at the documentation for aggregations I can see how to get the sum
for a field and how to get the terms and their counts, but I need a
combination of both, what is the best way to do this?

Thanks in advance,
Jose.

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Hi Jose,

There are two ways to do so: either with a script (slow because term
ordinals can't be used):

"terms" : {
"script": "doc['A'].values + doc['B'].values + doc['C'].values"
}

Or by having all values in a single field at indexing time (potentially
using copy_to[1]).

[1]

On Fri, May 2, 2014 at 11:44 AM, Jose A. Garcia argantonio@gmail.comwrote:

Hi,

I have a question about Aggregations. I have documents with several fields:

{
field1 : A,
field2: B,
field3: C,
size: 1,
}

{
field1 : A,
field2: B2,
field3: C2,
size: 2,
}

{
field1 : Z,
field2: B3,
field3: C3,
size: 99,
}

And I need to be able to calculate aggregations for each one of those
fields, and get the sum of the sizes for each field, so for example,
aggregating by field1 should get me { A, size = 3 }, {Z, size = 99}.

Looking at the documentation for aggregations I can see how to get the sum
for a field and how to get the terms and their counts, but I need a
combination of both, what is the best way to do this?

Thanks in advance,
Jose.

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Adrien Grand

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Hi Adrien,

Thanks for your answer, but I have a question. Wouldn't that give me the
different sums of the values of those fields?

What I need is, using the example from before:

Doc1 : { field1 : A, field2: B, field3: C, size: 1, }
Doc2: { field1 : A, field2: B2, field3: C2, size: 2}
Doc3: { field1 : Z, field2: B3, field3: C3, size: 99 }

If I search in my index and those three documents match my query I want a
list of the possible values that 'field1' can take and the sum of the
'size' fields for all documents with each value in my result set. So in
this case I would expect:

field1: {
{value: 'A', sum_of_sizes: 3}
{value: 'Z', sum_of_sizes: 99}
}

Thanks,
Jose.

On Friday, 2 May 2014 14:51:36 UTC+1, Adrien Grand wrote:

Hi Jose,

There are two ways to do so: either with a script (slow because term
ordinals can't be used):

"terms" : {
"script": "doc['A'].values + doc['B'].values + doc['C'].values"
}

Or by having all values in a single field at indexing time (potentially
using copy_to[1]).

[1]
Elasticsearch Platform — Find real-time answers at scale | Elastic

On Fri, May 2, 2014 at 11:44 AM, Jose A. Garcia <argan...@gmail.com<javascript:>

wrote:

Hi,

I have a question about Aggregations. I have documents with several
fields:

{
field1 : A,
field2: B,
field3: C,
size: 1,
}

{
field1 : A,
field2: B2,
field3: C2,
size: 2,
}

{
field1 : Z,
field2: B3,
field3: C3,
size: 99,
}

And I need to be able to calculate aggregations for each one of those
fields, and get the sum of the sizes for each field, so for example,
aggregating by field1 should get me { A, size = 3 }, {Z, size = 99}.

Looking at the documentation for aggregations I can see how to get the
sum for a field and how to get the terms and their counts, but I need a
combination of both, what is the best way to do this?

Thanks in advance,
Jose.

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Oh, I'm sorry, I completely missed your question, I thought you wanted to
merge the counts for different fields.

Would this aggregation do what you are looking for?
{
"terms": {
"field": "fieldA"
},
"aggs": {
"size_sum": {
"sum": {
"field": "size"
}
}
}
}

See

the documentation of the sum aggregation. I hope I got your question
right this time!

On Fri, May 2, 2014 at 4:08 PM, Jose A. Garcia argantonio@gmail.com wrote:

Hi Adrien,

Thanks for your answer, but I have a question. Wouldn't that give me the
different sums of the values of those fields?

What I need is, using the example from before:

Doc1 : { field1 : A, field2: B, field3: C, size: 1, }
Doc2: { field1 : A, field2: B2, field3: C2, size: 2}
Doc3: { field1 : Z, field2: B3, field3: C3, size: 99 }

If I search in my index and those three documents match my query I want a
list of the possible values that 'field1' can take and the sum of the
'size' fields for all documents with each value in my result set. So in
this case I would expect:

field1: {
{value: 'A', sum_of_sizes: 3}
{value: 'Z', sum_of_sizes: 99}
}

Thanks,
Jose.

On Friday, 2 May 2014 14:51:36 UTC+1, Adrien Grand wrote:

Hi Jose,

There are two ways to do so: either with a script (slow because term
ordinals can't be used):

"terms" : {
"script": "doc['A'].values + doc['B'].values + doc['C'].values"
}

Or by having all values in a single field at indexing time (potentially
using copy_to[1]).

[1] Elasticsearch Platform — Find real-time answers at scale | Elastic
reference/current/mapping-core-types.html#copy-to

On Fri, May 2, 2014 at 11:44 AM, Jose A. Garcia argan...@gmail.comwrote:

Hi,

I have a question about Aggregations. I have documents with several
fields:

{
field1 : A,
field2: B,
field3: C,
size: 1,
}

{
field1 : A,
field2: B2,
field3: C2,
size: 2,
}

{
field1 : Z,
field2: B3,
field3: C3,
size: 99,
}

And I need to be able to calculate aggregations for each one of those
fields, and get the sum of the sizes for each field, so for example,
aggregating by field1 should get me { A, size = 3 }, {Z, size = 99}.

Looking at the documentation for aggregations I can see how to get the
sum for a field and how to get the terms and their counts, but I need a
combination of both, what is the best way to do this?

Thanks in advance,
Jose.

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Adrien Grand

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Hi,

That's closer but I would get all the possible values and counts for
'fieldA' and the total sum of 'size' for my result set, but I need the sum
of sizes for each value of 'fieldA', so it's a combination of both terms
and sum, but none seems to give me exactly what I need...

Thanks,
Jose.

On Friday, 2 May 2014 15:18:37 UTC+1, Adrien Grand wrote:

Oh, I'm sorry, I completely missed your question, I thought you wanted to
merge the counts for different fields.

Would this aggregation do what you are looking for?
{
"terms": {
"field": "fieldA"
},
"aggs": {
"size_sum": {
"sum": {
"field": "size"
}
}
}
}

See
Elasticsearch Platform — Find real-time answers at scale | Elastic the documentation of the sum aggregation. I hope I got your question
right this time!

On Fri, May 2, 2014 at 4:08 PM, Jose A. Garcia <argan...@gmail.com<javascript:>

wrote:

Hi Adrien,

Thanks for your answer, but I have a question. Wouldn't that give me the
different sums of the values of those fields?

What I need is, using the example from before:

Doc1 : { field1 : A, field2: B, field3: C, size: 1, }
Doc2: { field1 : A, field2: B2, field3: C2, size: 2}
Doc3: { field1 : Z, field2: B3, field3: C3, size: 99 }

If I search in my index and those three documents match my query I want a
list of the possible values that 'field1' can take and the sum of the
'size' fields for all documents with each value in my result set. So in
this case I would expect:

field1: {
{value: 'A', sum_of_sizes: 3}
{value: 'Z', sum_of_sizes: 99}
}

Thanks,
Jose.

On Friday, 2 May 2014 14:51:36 UTC+1, Adrien Grand wrote:

Hi Jose,

There are two ways to do so: either with a script (slow because term
ordinals can't be used):

"terms" : {
"script": "doc['A'].values + doc['B'].values + doc['C'].values"
}

Or by having all values in a single field at indexing time (potentially
using copy_to[1]).

[1] Elasticsearch Platform — Find real-time answers at scale | Elastic
reference/current/mapping-core-types.html#copy-to

On Fri, May 2, 2014 at 11:44 AM, Jose A. Garcia argan...@gmail.comwrote:

Hi,

I have a question about Aggregations. I have documents with several
fields:

{
field1 : A,
field2: B,
field3: C,
size: 1,
}

{
field1 : A,
field2: B2,
field3: C2,
size: 2,
}

{
field1 : Z,
field2: B3,
field3: C3,
size: 99,
}

And I need to be able to calculate aggregations for each one of those
fields, and get the sum of the sizes for each field, so for example,
aggregating by field1 should get me { A, size = 3 }, {Z, size = 99}.

Looking at the documentation for aggregations I can see how to get the
sum for a field and how to get the terms and their counts, but I need a
combination of both, what is the best way to do this?

Thanks in advance,
Jose.

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Adrien Grand

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On Fri, May 2, 2014 at 4:47 PM, Jose A. Garcia argantonio@gmail.com wrote:

That's closer but I would get all the possible values and counts for
'fieldA' and the total sum of 'size' for my result set, but I need the sum
of sizes for each value of 'fieldA', so it's a combination of both terms
and sum, but none seems to give me exactly what I need...

This should work: The sum aggregation is under the terms aggregation, so
sums would be computed for each unique value of 'fieldA'.

--
Adrien Grand

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Sorry, I think I must be misunderstanding something, if I do:

GET /summary/row/_search
{
"query": {
"match": {
"field3": 1
}
},
"aggs": {
"terms": {
"field": "field1"
},
"field1_count": {
"sum": {
"field": "count"
}
}
}
}

I just get this in the response:

"aggregations": {
"file1_count": {
"value": 75000
}
}

It's just ignoring all the values of 'file1' and adding all the sizes from
the response. Am I doing something wrong?

Thanks,
Jose.

On Friday, 2 May 2014 15:55:50 UTC+1, Adrien Grand wrote:

On Fri, May 2, 2014 at 4:47 PM, Jose A. Garcia <argan...@gmail.com<javascript:>

wrote:

That's closer but I would get all the possible values and counts for
'fieldA' and the total sum of 'size' for my result set, but I need the sum
of sizes for each value of 'fieldA', so it's a combination of both terms
and sum, but none seems to give me exactly what I need...

This should work: The sum aggregation is under the terms aggregation, so
sums would be computed for each unique value of 'fieldA'.

--
Adrien Grand

--
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Your aggregation has no name, and unfortunately this causes undefined
behavior because the parsing is too lenient in 1.1 and previous versions
(will be fixed in 1.2.0). Please try the following request:

GET /summary/row/_search
{
"query": {
"match": {
"field3": 1
}
},
"aggs": {
"field1_top_terms": {
"terms": {
"field": "field1"
},
"field1_count": {
"sum": {
"field": "count"
}
}
}
}
}

On Fri, May 2, 2014 at 5:22 PM, Jose A. Garcia argantonio@gmail.com wrote:

Sorry, I think I must be misunderstanding something, if I do:

GET /summary/row/_search
{
"query": {
"match": {
"field3": 1
}
},
"aggs": {
"terms": {
"field": "field1"
},
"field1_count": {
"sum": {
"field": "count"
}
}
}
}

I just get this in the response:

"aggregations": {
"file1_count": {
"value": 75000
}
}

It's just ignoring all the values of 'file1' and adding all the sizes from
the response. Am I doing something wrong?

Thanks,
Jose.

On Friday, 2 May 2014 15:55:50 UTC+1, Adrien Grand wrote:

On Fri, May 2, 2014 at 4:47 PM, Jose A. Garcia argan...@gmail.comwrote:

That's closer but I would get all the possible values and counts for
'fieldA' and the total sum of 'size' for my result set, but I need the sum
of sizes for each value of 'fieldA', so it's a combination of both terms
and sum, but none seems to give me exactly what I need...

This should work: The sum aggregation is under the terms aggregation,
so sums would be computed for each unique value of 'fieldA'.

--
Adrien Grand

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Adrien Grand

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Sorry to keep on with this, but if I do that I get an error:

Parse Failure [Found two aggregation type definitions in
[field1_top_terms]: [terms] and [field1_count]. Only one type is allowed.]

If I take the 'field1_count' from inside 'field1_top_terms' like this:

GET /summary/row/_search
{
"query": {
"match": {
"file3": 1
}
},
"aggs": {
"field1_top_terms": {
"terms": {
"field": "field1"
}
},
"field1_count": {
"sum": {
"field": "count"
}
}
}
}

I get the two independent aggregations.

Thanks again for you patience...
Jose.

On Friday, 2 May 2014 16:28:08 UTC+1, Adrien Grand wrote:

Your aggregation has no name, and unfortunately this causes undefined
behavior because the parsing is too lenient in 1.1 and previous versions
(will be fixed in 1.2.0). Please try the following request:

GET /summary/row/_search
{
"query": {
"match": {
"field3": 1
}
},
"aggs": {
"field1_top_terms": {
"terms": {
"field": "field1"
},
"field1_count": {
"sum": {
"field": "count"
}
}
}
}
}

On Fri, May 2, 2014 at 5:22 PM, Jose A. Garcia <argan...@gmail.com<javascript:>

wrote:

Sorry, I think I must be misunderstanding something, if I do:

GET /summary/row/_search
{
"query": {
"match": {
"field3": 1
}
},
"aggs": {
"terms": {
"field": "field1"
},
"field1_count": {
"sum": {
"field": "count"
}
}
}
}

I just get this in the response:

"aggregations": {
"file1_count": {
"value": 75000
}
}

It's just ignoring all the values of 'file1' and adding all the sizes
from the response. Am I doing something wrong?

Thanks,
Jose.

On Friday, 2 May 2014 15:55:50 UTC+1, Adrien Grand wrote:

On Fri, May 2, 2014 at 4:47 PM, Jose A. Garcia argan...@gmail.comwrote:

That's closer but I would get all the possible values and counts for
'fieldA' and the total sum of 'size' for my result set, but I need the sum
of sizes for each value of 'fieldA', so it's a combination of both terms
and sum, but none seems to give me exactly what I need...

This should work: The sum aggregation is under the terms aggregation,
so sums would be computed for each unique value of 'fieldA'.

--
Adrien Grand

--
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.

For more options, visit https://groups.google.com/d/optout.

--
Adrien Grand

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On Fri, May 2, 2014 at 5:40 PM, Jose A. Garcia argantonio@gmail.com wrote:

Sorry to keep on with this, but if I do that I get an error:

Parse Failure [Found two aggregation type definitions in
[field1_top_terms]: [terms] and [field1_count]. Only one type is allowed.]

Oops, I fixed the outer aggregation, but not the inner one. This time I
tested the request to it should work (hopefully :)).

GET /summary/row/_search
{
"query": {
"match": {
"field3": 1
}
},
"aggs": {
"field1_top_terms": {
"terms": {
"field": "field1"
},
"aggs": {
"field1_count": {
"sum": {
"field": "count"
}
}
}
}
}
}

--
Adrien Grand

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This time it works perfectly and it does exactly what I need.

Thanks a lot!
Jose.

On Friday, 2 May 2014 16:47:12 UTC+1, Adrien Grand wrote:

On Fri, May 2, 2014 at 5:40 PM, Jose A. Garcia <argan...@gmail.com<javascript:>

wrote:

Sorry to keep on with this, but if I do that I get an error:

Parse Failure [Found two aggregation type definitions in
[field1_top_terms]: [terms] and [field1_count]. Only one type is
allowed.]

Oops, I fixed the outer aggregation, but not the inner one. This time I
tested the request to it should work (hopefully :)).

GET /summary/row/_search
{
"query": {
"match": {
"field3": 1
}
},
"aggs": {
"field1_top_terms": {
"terms": {
"field": "field1"
},
"aggs": {
"field1_count": {
"sum": {
"field": "count"
}
}
}
}
}
}

--
Adrien Grand

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