Elasticsearch Date Range Aggregation with Sum - kibana

Question

I've followed Elastic's docs and successfully queried my index to return data for two date ranges.
What I can't get right, is adding a sum of units to each range. I've managed to add a unit sum (see query below) but this only returns a sum for the entire range.
What I'm trying to achieve is a period A vs B comparison. i.e. This week you've sold X units vs Y units last week and therefore the % variance is Z.
{
"query":{
"filtered":{
"query":{
"query_string":{
"query":"*",
"analyze_wildcard":true
}
}
}
},
"size":0,
"aggs":{
"vendor_type":{
"terms":{
"field":"vendor_type",
"size":5
},
"aggs":{
"product_type":{
"terms":{
"field":"product_type",
"size":5,
"order":{
"unit_sum":"desc"
}
},
"aggs":{
"range":{
"date_range":{
"field":"date",
"format":"MM-yyy",
"ranges":[
{
"to":"now-1M/M"
},
{
"from":"now-1M/M"
}
]
}
},
"unit_sum":{
"sum":{
"field":"units"
}
}
}
}
}
}
}
}
Can anyone help? Thanks in advance.

Answer 1

You're almost there, you just need to move (or copy) your unit_sum inside the range aggregation, like this:
{
"query": {
"filtered": {
"query": {
"query_string": {
"query": "*",
"analyze_wildcard": true
}
}
}
},
"size": 0,
"aggs": {
"vendor_type": {
"terms": {
"field": "vendor_type",
"size": 5
},
"aggs": {
"product_type": {
"terms": {
"field": "product_type",
"size": 5
},
"aggs": {
"range": {
"date_range": {
"field": "date",
"format": "MM-yyy",
"ranges": [
{
"to": "now-1M/M"
},
{
"from": "now-1M/M"
}
]
},
"aggs": {
"unit_sum": {
"sum": {
"field": "units"
}
}
}
}
}
}
}
}
}
}