ElasticSearch Nested NumericRangeQuery using min value from list for comparison - elasticsearch

Question

I have the following data:
[{
"id": "1",
"listItems": [
{
"key": "li1",
"value": 100
},
{
"key": "li2",
"value": 5000
}
]
},
{
"id": "2",
"listItems": [
{
"key": "li3",
"value": 200
},
{
"key": "li2",
"value": 2000
}
]
}]
I'm trying to do a NumericRangeQuery filter so that the MIN value in each document's listItems match up between a range. So for example, my range is 150 to 15000.
The only way I know how to write this is using a script query but it doesn't appear to work as the code still seems to grab any value under the listItems to attempt to match up against the range instead of grabbing the MIN like I told it to. Here's my query:
{
"track_total_hits": true,
"from": 0,
"min_score": 0.0,
"query": {
"bool": {
"must": [
{
"nested": {
"path": "listItems",
"query": {
"script": {
"script": "double minVal = 0; minVal = doc['listItems.value'][0]; for (wp in doc['listItems.value']) {if (wp < minVal) { minVal = wp;}} return minVal >= 150 && minVal <= 15000"
}
}
}
}
]
}
}}
Anybody seeing something I don't?

Answer 1

The search query performs the following aggregation :
Terms aggregation on the id field
Min aggregation on listItems.value
Bucket Selector aggregation that is a parent pipeline aggregation that executes a script that determines whether the current bucket will be retained in the parent multi-bucket aggregation.
Adding a working example with index mapping, index data, search query, and search result
Index Mapping:
{
"mappings": {
"properties": {
"listItems": {
"type": "nested"
},
"id":{
"type":"text",
"fielddata":"true"
}
}
}
}
Index Data:
{
"id" : "1",
"listItems" :
[
{
"key" : "li1",
"value" : 100
},
{
"key" : "li2",
"value" : 5000
}
]
}
{
"id" : "2",
"listItems" :
[
{
"key" : "li3",
"value" : 200
},
{
"key" : "li2",
"value" : 2000
}
]
}
Search Query:
{
"size": 0,
"aggs": {
"id_terms": {
"terms": {
"field": "id"
},
"aggs": {
"nested_entries": {
"nested": {
"path": "listItems"
},
"aggs": {
"min_position": {
"min": {
"field": "listItems.value"
}
}
}
},
"value_range": {
"bucket_selector": {
"buckets_path": {
"totalValues": "nested_entries>min_position"
},
"script": "params.totalValues >= 150 && params.totalValues < 15000"
}
}
}
}
}
}
Search Result:
"aggregations": {
"id_terms": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "2",
"doc_count": 1,
"nested_entries": {
"doc_count": 2,
"min_position": {
"value": 200.0
}
}
}
]
}
}