elasticsearch nested range filter script - elasticsearch

Question

I have an elasticsearch range aggregation problem.
I have a nested object called "prices" in an nested "object" called "products".
in this sub nested object prices I have different prices for different countries and currencies. now I wanna use a range aggregation, but this ones loop over all price items and returns a big range aggregation.
now I want to use a script to filter curriencies and country price. but my if clause never got a return value.
"script": "if(doc['currency']=='GBP') { doc['price']; } else 0"
here is my code for query
"aggs": {
"products": {
"nested": {
"path": "products"
},
"aggs": {
"prices": {
"nested": {
"path": "products.prices"
},
"aggs": {
"range": {
"range": {
"field": "products.prices.price",
"script": "if(doc['currency']=='GBP') { doc['price']; } else 0",
"params": {
"currency": "GBP",
"country": "GB"
},
"ranges": [
{
"to": 50
},
{
"from": 50,
"to": 100
},
{
"from": 100
}
]
}
}
}
}
}
}
}
and my mapping
{
"settings": {
"index": {
"number_of_shards": 2,
"number_of_replicas": 1
},
"analysis": {
"filter": {
"nGram_filter": {
"type": "nGram",
"min_gram": 2,
"max_gram": 20,
"token_chars": ["letter", "digit", "punctuation", "symbol"]
}
},
"analyzer": {
"nGram_analyzer": {
"type": "custom",
"tokenizer": "whitespace",
"filter": ["lowercase", "asciifolding", "nGram_filter"]
},
"whitespace_analyzer": {
"type": "custom",
"tokenizer": "whitespace",
"filter": ["lowercase", "asciifolding"]
}
}
}
},
"mappings": {
"program": {
"properties": {
"title": {
"type": "string",
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed"
}
}
},
"products": {
"type": "nested",
"store": true,
"index": "analyzed",
"fields": {
"raw": {
"type": "nested",
"index": "not_analyzed"
}
},
"properties": {
"sku": {
"type": "string",
"store": true,
"index": "analyzed",
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed"
}
}
},
"prices": {
"type": "nested",
"store": true,
"index": "analyzed",
"fields": {
"raw": {
"type": "nested",
"index": "not_analyzed"
}
},
"properties": {
"price": {
"type": "float",
"store": true,
"index": "analyzed",
"null_value": 0,
"analyzer": "english",
"fields": {
"raw": {
"type": "float",
"index": "not_analyzed"
}
}
},
"price2": {
"include_in_all": false,
"type": "float",
"store": true,
"index": "analyzed",
"null_value": 0,
"fields": {
"raw": {
"type": "float",
"index": "not_analyzed"
}
}
},
"vat": {
"include_in_all": false,
"type": "float",
"store": true,
"index": "analyzed",
"null_value": 0,
"fields": {
"raw": {
"type": "float",
"index": "not_analyzed"
}
}
},
"country": {
"include_in_all": false,
"type": "string",
"store": true,
"index": "analyzed",
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed"
}
}
},
"currency": {
"include_in_all": false,
"type": "string",
"store": true,
"index": "analyzed",
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed"
}
}
}
}
}
}
}
}
}
}
}

Answer 1

you can try this?
{
"filtered" : {
"query" : { "match_all" : {} },
"filter" : {
"nested" : {
"path" : "products",
"filter" : {
"bool" : {
"must" : [
{
"term" : {"prices.currency" : "GBP"}
},
{
"range" : {"range.count" : {"gt" : 5}}
}
]
}
},
"_cache" : true
}
}
}
}

Answer 2

Filtered is deprecated at this point for ElasticSearch and was replaced with bool. The new version of this would be the following:
{
"query" : {
"nested" : {
"path" : "products",
"query" : {
"bool" : {
"must" : [
{
"term" : {"prices.currency" : "GBP"}
},
{
"range" : {"range.count" : {"gt" : 5}}
}
]}
}
}
}
}
Here's a reference to the ElasticSearch documentation