ElasticSearch - calculate ratio between aggregation buckets - elasticsearch

Question

I'm using the following terms aggregations to get views and clicks of each campaign ( by campaign_id ) :
"aggregations": {
"campaigns": {
"terms": {
"field": "campaign_id",
"size": 10,
"order": {
"_term": "asc"
}
},
"aggregations": {
"actions": {
"terms": {
"field": "action",
"size": 10
}
}
}
}}
This is the response I get:
"aggregations": {
"campaigns": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "someId",
"doc_count": 12,
"actions": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "click",
"doc_count": 3
},
{
"key": "view",
"doc_count": 9
}
]
}
}
]
}
}
EDIT:
Here is an example of a document ( only the relevant parts of it..):
{
"_index": "action",
"_type": "click",
"_id": "AVI2XOTl8otXlszOjypT",
"_score": 1,
"_source": {
"ip": "127.0.0.1",
"timestamp": "2016-01-12T15:03:23.622743524Z",
"action": "click",
"campaign_id": "IypmiroC"
}}
I need to be able to retrieve the conversion rate of each campaign ( clicks / views ) , and I can't do it on the client side since I need to be able to sort by conversion rate.
Any help would be much appreciated.

Answer 1

This will require use of various aggregations and ES 2.x. First I am getting all unique campaign_id with terms aggregation. Then I am filtering with actions and getting the count of documents with that particular action. Then You need to use pipeline aggregation introduced in ES 2.0, mainly bucket script aggregation to take the ratio. This is how it looks.
{
"size": 0,
"aggs": {
"unique_campaign": {
"terms": {
"field": "campaign_id",
"size": 10
},
"aggs": {
"click_bucket": {
"filter": {
"term": {
"action": "click"
}
},
"aggs": {
"click_count": {
"value_count": {
"field": "action"
}
}
}
},
"view_bucket": {
"filter": {
"term": {
"action": "view"
}
},
"aggs": {
"view_count": {
"value_count": {
"field": "action"
}
}
}
},
"conversion_ratio": {
"bucket_script": {
"buckets_path": {
"total_clicks": "click_bucket>click_count",
"total_views": "view_bucket>view_count"
},
"script": "total_clicks/total_views"
}
}
}
}
}
}
Also, you need to have not_analyzed mapping for action as Click wont match click.
Hope this helps!!

Answer 2

As for now 7.x, sorting can be achieved as follows, just a demo for reference:
bucket_script
bucket_sort
{
"size": 0,
"aggs": {
"mallBucket": {
"terms": {
"field": "mallId",
"size": 20,
"min_doc_count": 3,
"shard_size": 10000
},
"aggs": {
"totalOrderCount": {
"value_count": {
"field": "orderSn"
}
},
"filteredCoupon": {
"filter": {
"terms": {
"tags": [
"hello",
"cool"
]
}
},
"aggs": {
"couponCount": {
"value_count": {
"field": "orderSn"
}
}
}
},
"countRatio": {
"bucket_script": {
"buckets_path": {
"orderCount": "totalOrderCount",
"couponCount": "filteredCoupon>couponCount"
},
"script": "params.couponCount/params.orderCount"
}
},
"ratio_bucket_sort": {
"bucket_sort": {
"sort": [
{
"countRatio": {
"order": "desc"
}
}
],
"size": 20
}
}
}
}
}
}