How to divide two fields and get an average The Next CEO of Stack Overflowdoes elasticsearch have compound indexes?Elastic Search deleteByQuery multiple termselasticsearch copy_to field not behaving as expected with aggregationsHow do I write this in a query in Elastic?elasticsearch averaging a field on a bucketelastic agfregations get uniq value where clauseHow to get the average count of missing field per document with Elasticsearch?Elastic search date histogram averagesAverage value of array subfield in elasticsearchQuery to match content of two fields in Kibana
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How to divide two fields and get an average
The Next CEO of Stack Overflowdoes elasticsearch have compound indexes?Elastic Search deleteByQuery multiple termselasticsearch copy_to field not behaving as expected with aggregationsHow do I write this in a query in Elastic?elasticsearch averaging a field on a bucketelastic agfregations get uniq value where clauseHow to get the average count of missing field per document with Elasticsearch?Elastic search date histogram averagesAverage value of array subfield in elasticsearchQuery to match content of two fields in Kibana
1
I am using Elastic 6.5
I need to divide two fields together and then get an average value.
Example mysql that I am trying to recreate:
SELECT avg(field1/field2)
FROM table
WHERE field1 > 0 && field2 > 0
elasticsearch
asked Mar 21 at 18:13
CrixusCrixus
164
add a comment |
1
I am using Elastic 6.5
I need to divide two fields together and then get an average value.
Example mysql that I am trying to recreate:
SELECT avg(field1/field2)
FROM table
WHERE field1 > 0 && field2 > 0
elasticsearch
asked Mar 21 at 18:13
CrixusCrixus
164
add a comment |
1
1
1
I am using Elastic 6.5
I need to divide two fields together and then get an average value.
Example mysql that I am trying to recreate:
SELECT avg(field1/field2)
FROM table
WHERE field1 > 0 && field2 > 0
elasticsearch
asked Mar 21 at 18:13
CrixusCrixus
164
I am using Elastic 6.5
I need to divide two fields together and then get an average value.
Example mysql that I am trying to recreate:
SELECT avg(field1/field2)
FROM table
WHERE field1 > 0 && field2 > 0
elasticsearch
elasticsearch
asked Mar 21 at 18:13
CrixusCrixus
164
asked Mar 21 at 18:13
CrixusCrixus
164
edited Mar 21 at 18:19
Crixus
asked Mar 21 at 18:13
CrixusCrixus
164
asked Mar 21 at 18:13
CrixusCrixus
164
asked Mar 21 at 18:13
CrixusCrixus
164
164
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
1
I have solved my task with the query below:
"size": 0,
"query":
"match_all":
,
"aggs":
"average":
"avg":
"script":
answered Mar 22 at 10:33
CrixusCrixus
164
add a comment |
0
You can achieve what you are looking for using Script Fields.
I've created sample mapping, documents, the query and the response for this use case which are mentioned below:
Mapping
PUT myindex
"mappings":
"mydocs":
"properties":
"field1":
"type":"long"
,
"field2":
"type":"long"
Sample Documents:
POST myindex/mydocs/1
"field1": 0,
"field2": 0
POST myindex/mydocs/2
"field1": 20,
"field2": 20
POST myindex/mydocs/3
"field1": 40,
"field2": 20
POST myindex/mydocs/4
"field1": 40,
"field2": 0
Query Request
POST <your_index_name>/_search
"_source":"*",
"query":
"match_all":
,
"script_fields":
"average":
"script":"long a1 = 0l;long a2 = 0l;if(params._source.field1==null)a1 = 01; else a1 = params._source.field1if(params._source.field2==null
Note that you can modify the above logic accordingly to fit your use case of averaging only if fields > 0
Response
"took": 12,
"timed_out": false,
"_shards":
"total": 5,
"successful": 5,
"failed": 0
,
"hits":
"total": 4,
"max_score": 1,
"hits": [
"_index": "myindex",
"_type": "mydocs",
"_id": "2",
"_score": 1,
"_source":
"field1": 20,
"field2": 20
,
"fields":
"average": [
1
]
,
"_index": "myindex",
"_type": "mydocs",
"_id": "4",
"_score": 1,
"_source":
"field1": 40,
"field2": 0
,
"fields":
"average": [
0
]
,
"_index": "myindex",
"_type": "mydocs",
"_id": "1",
"_score": 1,
"_source":
"field1": 0,
"field2": 0
,
"fields":
"average": [
0
]
,
"_index": "myindex",
"_type": "mydocs",
"_id": "3",
"_score": 1,
"_source":
"field1": 40,
"field2": 20
,
"fields":
"average": [
2
]
]
What you are looking for in the above response is the average field.
Hope it helps!
answered Mar 22 at 4:57
KamalKamal
2,46211022
1
Thanks for the answer. I kept having a problem with the formatting of the script when running it in Kibana, so I didn't get to see the result.
– Crixus
Mar 22 at 10:34
Hey @Crixus, not a problem. Next time do mention in question that you'd want to run query in kibana. Would've created query accordingly. Your answer has a condition missing. Other than that looks good. Go ahead and accept your answer.
– Kamal
Mar 22 at 10:36
which condition am I missing?
– Crixus
Mar 22 at 12:30
1
@KamalI I see where you are coming from. The reason why I didn't have this extra condition is because 0/1=0. Is there a performance benefit to having this extra check?
– Crixus
Mar 22 at 14:07
1
I mentioned that because in your question, you have mentioned it. And I assume you only have positive integers and not negatives. Even so, I amuse myself at times. I think it's great what you have. As for performance benefit, I don't think that makes a difference, but I'd write that logic because we should code for humans to understand. Some of us are still humans ;)
– Kamal
Mar 22 at 14:24
|
show 1 more comment
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
1
I have solved my task with the query below:
"size": 0,
"query":
"match_all":
,
"aggs":
"average":
"avg":
"script":
answered Mar 22 at 10:33
CrixusCrixus
164
add a comment |
1
I have solved my task with the query below:
"size": 0,
"query":
"match_all":
,
"aggs":
"average":
"avg":
"script":
answered Mar 22 at 10:33
CrixusCrixus
164
add a comment |
1
1
1
I have solved my task with the query below:
"size": 0,
"query":
"match_all":
,
"aggs":
"average":
"avg":
"script":
answered Mar 22 at 10:33
CrixusCrixus
164
I have solved my task with the query below:
"size": 0,
"query":
"match_all":
,
"aggs":
"average":
"avg":
"script":
answered Mar 22 at 10:33
CrixusCrixus
164
answered Mar 22 at 10:33
CrixusCrixus
164
answered Mar 22 at 10:33
CrixusCrixus
164
answered Mar 22 at 10:33
CrixusCrixus
164
164
add a comment |
add a comment |
0
You can achieve what you are looking for using Script Fields.
I've created sample mapping, documents, the query and the response for this use case which are mentioned below:
Mapping
PUT myindex
"mappings":
"mydocs":
"properties":
"field1":
"type":"long"
,
"field2":
"type":"long"
Sample Documents:
POST myindex/mydocs/1
"field1": 0,
"field2": 0
POST myindex/mydocs/2
"field1": 20,
"field2": 20
POST myindex/mydocs/3
"field1": 40,
"field2": 20
POST myindex/mydocs/4
"field1": 40,
"field2": 0
Query Request
POST <your_index_name>/_search
"_source":"*",
"query":
"match_all":
,
"script_fields":
"average":
"script":"long a1 = 0l;long a2 = 0l;if(params._source.field1==null)a1 = 01; else a1 = params._source.field1if(params._source.field2==null
Note that you can modify the above logic accordingly to fit your use case of averaging only if fields > 0
Response
"took": 12,
"timed_out": false,
"_shards":
"total": 5,
"successful": 5,
"failed": 0
,
"hits":
"total": 4,
"max_score": 1,
"hits": [
"_index": "myindex",
"_type": "mydocs",
"_id": "2",
"_score": 1,
"_source":
"field1": 20,
"field2": 20
,
"fields":
"average": [
1
]
,
"_index": "myindex",
"_type": "mydocs",
"_id": "4",
"_score": 1,
"_source":
"field1": 40,
"field2": 0
,
"fields":
"average": [
0
]
,
"_index": "myindex",
"_type": "mydocs",
"_id": "1",
"_score": 1,
"_source":
"field1": 0,
"field2": 0
,
"fields":
"average": [
0
]
,
"_index": "myindex",
"_type": "mydocs",
"_id": "3",
"_score": 1,
"_source":
"field1": 40,
"field2": 20
,
"fields":
"average": [
2
]
]
What you are looking for in the above response is the average field.
Hope it helps!
answered Mar 22 at 4:57
KamalKamal
2,46211022
1
Thanks for the answer. I kept having a problem with the formatting of the script when running it in Kibana, so I didn't get to see the result.
– Crixus
Mar 22 at 10:34
Hey @Crixus, not a problem. Next time do mention in question that you'd want to run query in kibana. Would've created query accordingly. Your answer has a condition missing. Other than that looks good. Go ahead and accept your answer.
– Kamal
Mar 22 at 10:36
which condition am I missing?
– Crixus
Mar 22 at 12:30
1
@KamalI I see where you are coming from. The reason why I didn't have this extra condition is because 0/1=0. Is there a performance benefit to having this extra check?
– Crixus
Mar 22 at 14:07
1
I mentioned that because in your question, you have mentioned it. And I assume you only have positive integers and not negatives. Even so, I amuse myself at times. I think it's great what you have. As for performance benefit, I don't think that makes a difference, but I'd write that logic because we should code for humans to understand. Some of us are still humans ;)
– Kamal
Mar 22 at 14:24
|
show 1 more comment
0
You can achieve what you are looking for using Script Fields.
I've created sample mapping, documents, the query and the response for this use case which are mentioned below:
Mapping
PUT myindex
"mappings":
"mydocs":
"properties":
"field1":
"type":"long"
,
"field2":
"type":"long"
Sample Documents:
POST myindex/mydocs/1
"field1": 0,
"field2": 0
POST myindex/mydocs/2
"field1": 20,
"field2": 20
POST myindex/mydocs/3
"field1": 40,
"field2": 20
POST myindex/mydocs/4
"field1": 40,
"field2": 0
Query Request
POST <your_index_name>/_search
"_source":"*",
"query":
"match_all":
,
"script_fields":
"average":
"script":"long a1 = 0l;long a2 = 0l;if(params._source.field1==null)a1 = 01; else a1 = params._source.field1if(params._source.field2==null
Note that you can modify the above logic accordingly to fit your use case of averaging only if fields > 0
Response
"took": 12,
"timed_out": false,
"_shards":
"total": 5,
"successful": 5,
"failed": 0
,
"hits":
"total": 4,
"max_score": 1,
"hits": [
"_index": "myindex",
"_type": "mydocs",
"_id": "2",
"_score": 1,
"_source":
"field1": 20,
"field2": 20
,
"fields":
"average": [
1
]
,
"_index": "myindex",
"_type": "mydocs",
"_id": "4",
"_score": 1,
"_source":
"field1": 40,
"field2": 0
,
"fields":
"average": [
0
]
,
"_index": "myindex",
"_type": "mydocs",
"_id": "1",
"_score": 1,
"_source":
"field1": 0,
"field2": 0
,
"fields":
"average": [
0
]
,
"_index": "myindex",
"_type": "mydocs",
"_id": "3",
"_score": 1,
"_source":
"field1": 40,
"field2": 20
,
"fields":
"average": [
2
]
]
What you are looking for in the above response is the average field.
Hope it helps!
answered Mar 22 at 4:57
KamalKamal
2,46211022
1
Thanks for the answer. I kept having a problem with the formatting of the script when running it in Kibana, so I didn't get to see the result.
– Crixus
Mar 22 at 10:34
Hey @Crixus, not a problem. Next time do mention in question that you'd want to run query in kibana. Would've created query accordingly. Your answer has a condition missing. Other than that looks good. Go ahead and accept your answer.
– Kamal
Mar 22 at 10:36
which condition am I missing?
– Crixus
Mar 22 at 12:30
1
@KamalI I see where you are coming from. The reason why I didn't have this extra condition is because 0/1=0. Is there a performance benefit to having this extra check?
– Crixus
Mar 22 at 14:07
1
I mentioned that because in your question, you have mentioned it. And I assume you only have positive integers and not negatives. Even so, I amuse myself at times. I think it's great what you have. As for performance benefit, I don't think that makes a difference, but I'd write that logic because we should code for humans to understand. Some of us are still humans ;)
– Kamal
Mar 22 at 14:24
|
show 1 more comment
0
0
0
You can achieve what you are looking for using Script Fields.
I've created sample mapping, documents, the query and the response for this use case which are mentioned below:
Mapping
PUT myindex
"mappings":
"mydocs":
"properties":
"field1":
"type":"long"
,
"field2":
"type":"long"
Sample Documents:
POST myindex/mydocs/1
"field1": 0,
"field2": 0
POST myindex/mydocs/2
"field1": 20,
"field2": 20
POST myindex/mydocs/3
"field1": 40,
"field2": 20
POST myindex/mydocs/4
"field1": 40,
"field2": 0
Query Request
POST <your_index_name>/_search
"_source":"*",
"query":
"match_all":
,
"script_fields":
"average":
"script":"long a1 = 0l;long a2 = 0l;if(params._source.field1==null)a1 = 01; else a1 = params._source.field1if(params._source.field2==null
Note that you can modify the above logic accordingly to fit your use case of averaging only if fields > 0
Response
"took": 12,
"timed_out": false,
"_shards":
"total": 5,
"successful": 5,
"failed": 0
,
"hits":
"total": 4,
"max_score": 1,
"hits": [
"_index": "myindex",
"_type": "mydocs",
"_id": "2",
"_score": 1,
"_source":
"field1": 20,
"field2": 20
,
"fields":
"average": [
1
]
,
"_index": "myindex",
"_type": "mydocs",
"_id": "4",
"_score": 1,
"_source":
"field1": 40,
"field2": 0
,
"fields":
"average": [
0
]
,
"_index": "myindex",
"_type": "mydocs",
"_id": "1",
"_score": 1,
"_source":
"field1": 0,
"field2": 0
,
"fields":
"average": [
0
]
,
"_index": "myindex",
"_type": "mydocs",
"_id": "3",
"_score": 1,
"_source":
"field1": 40,
"field2": 20
,
"fields":
"average": [
2
]
]
What you are looking for in the above response is the average field.
Hope it helps!
answered Mar 22 at 4:57
KamalKamal
2,46211022
You can achieve what you are looking for using Script Fields.
I've created sample mapping, documents, the query and the response for this use case which are mentioned below:
Mapping
PUT myindex
"mappings":
"mydocs":
"properties":
"field1":
"type":"long"
,
"field2":
"type":"long"
Sample Documents:
POST myindex/mydocs/1
"field1": 0,
"field2": 0
POST myindex/mydocs/2
"field1": 20,
"field2": 20
POST myindex/mydocs/3
"field1": 40,
"field2": 20
POST myindex/mydocs/4
"field1": 40,
"field2": 0
Query Request
POST <your_index_name>/_search
"_source":"*",
"query":
"match_all":
,
"script_fields":
"average":
"script":"long a1 = 0l;long a2 = 0l;if(params._source.field1==null)a1 = 01; else a1 = params._source.field1if(params._source.field2==null
Note that you can modify the above logic accordingly to fit your use case of averaging only if fields > 0
Response
"took": 12,
"timed_out": false,
"_shards":
"total": 5,
"successful": 5,
"failed": 0
,
"hits":
"total": 4,
"max_score": 1,
"hits": [
"_index": "myindex",
"_type": "mydocs",
"_id": "2",
"_score": 1,
"_source":
"field1": 20,
"field2": 20
,
"fields":
"average": [
1
]
,
"_index": "myindex",
"_type": "mydocs",
"_id": "4",
"_score": 1,
"_source":
"field1": 40,
"field2": 0
,
"fields":
"average": [
0
]
,
"_index": "myindex",
"_type": "mydocs",
"_id": "1",
"_score": 1,
"_source":
"field1": 0,
"field2": 0
,
"fields":
"average": [
0
]
,
"_index": "myindex",
"_type": "mydocs",
"_id": "3",
"_score": 1,
"_source":
"field1": 40,
"field2": 20
,
"fields":
"average": [
2
]
]
What you are looking for in the above response is the average field.
Hope it helps!
answered Mar 22 at 4:57
KamalKamal
2,46211022
edited Mar 22 at 14:03
answered Mar 22 at 4:57
KamalKamal
2,46211022
answered Mar 22 at 4:57
KamalKamal
2,46211022
answered Mar 22 at 4:57
KamalKamal
2,46211022
2,46211022
1
Thanks for the answer. I kept having a problem with the formatting of the script when running it in Kibana, so I didn't get to see the result.
– Crixus
Mar 22 at 10:34
Hey @Crixus, not a problem. Next time do mention in question that you'd want to run query in kibana. Would've created query accordingly. Your answer has a condition missing. Other than that looks good. Go ahead and accept your answer.
– Kamal
Mar 22 at 10:36
which condition am I missing?
– Crixus
Mar 22 at 12:30
1
@KamalI I see where you are coming from. The reason why I didn't have this extra condition is because 0/1=0. Is there a performance benefit to having this extra check?
– Crixus
Mar 22 at 14:07
1
I mentioned that because in your question, you have mentioned it. And I assume you only have positive integers and not negatives. Even so, I amuse myself at times. I think it's great what you have. As for performance benefit, I don't think that makes a difference, but I'd write that logic because we should code for humans to understand. Some of us are still humans ;)
– Kamal
Mar 22 at 14:24
|
show 1 more comment
1
Thanks for the answer. I kept having a problem with the formatting of the script when running it in Kibana, so I didn't get to see the result.
– Crixus
Mar 22 at 10:34
Hey @Crixus, not a problem. Next time do mention in question that you'd want to run query in kibana. Would've created query accordingly. Your answer has a condition missing. Other than that looks good. Go ahead and accept your answer.
– Kamal
Mar 22 at 10:36
which condition am I missing?
– Crixus
Mar 22 at 12:30
1
@KamalI I see where you are coming from. The reason why I didn't have this extra condition is because 0/1=0. Is there a performance benefit to having this extra check?
– Crixus
Mar 22 at 14:07
1
I mentioned that because in your question, you have mentioned it. And I assume you only have positive integers and not negatives. Even so, I amuse myself at times. I think it's great what you have. As for performance benefit, I don't think that makes a difference, but I'd write that logic because we should code for humans to understand. Some of us are still humans ;)
– Kamal
Mar 22 at 14:24
1
1
Thanks for the answer. I kept having a problem with the formatting of the script when running it in Kibana, so I didn't get to see the result.
– Crixus
Mar 22 at 10:34
Thanks for the answer. I kept having a problem with the formatting of the script when running it in Kibana, so I didn't get to see the result.
– Crixus
Mar 22 at 10:34
Hey @Crixus, not a problem. Next time do mention in question that you'd want to run query in kibana. Would've created query accordingly. Your answer has a condition missing. Other than that looks good. Go ahead and accept your answer.
– Kamal
Mar 22 at 10:36
Hey @Crixus, not a problem. Next time do mention in question that you'd want to run query in kibana. Would've created query accordingly. Your answer has a condition missing. Other than that looks good. Go ahead and accept your answer.
– Kamal
Mar 22 at 10:36
which condition am I missing?
– Crixus
Mar 22 at 12:30
which condition am I missing?
– Crixus
Mar 22 at 12:30
1
1
@KamalI I see where you are coming from. The reason why I didn't have this extra condition is because 0/1=0. Is there a performance benefit to having this extra check?
– Crixus
Mar 22 at 14:07
@KamalI I see where you are coming from. The reason why I didn't have this extra condition is because 0/1=0. Is there a performance benefit to having this extra check?
– Crixus
Mar 22 at 14:07
1
1
I mentioned that because in your question, you have mentioned it. And I assume you only have positive integers and not negatives. Even so, I amuse myself at times. I think it's great what you have. As for performance benefit, I don't think that makes a difference, but I'd write that logic because we should code for humans to understand. Some of us are still humans ;)
– Kamal
Mar 22 at 14:24
I mentioned that because in your question, you have mentioned it. And I assume you only have positive integers and not negatives. Even so, I amuse myself at times. I think it's great what you have. As for performance benefit, I don't think that makes a difference, but I'd write that logic because we should code for humans to understand. Some of us are still humans ;)
– Kamal
Mar 22 at 14:24
|
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