Combining nested query with boolean query in Elastic Search - elasticsearch

Question

I am trying to filter hotel rooms by price range in Elastic Search. The rooms have a default nightly price and also custom prices can be set for specific days.
I'm storing the nightlyPrice and a nested object for custom prices together with the dates. The mapping is smt. like:
{
"adverts": {
"mappings": {
"advert": {
"properties": {
"nightlyPrice": {"type": "float"},
"customPrices": {
"type": "nested",
"properties": {
"date": {"type": "date"},
"price": {"type": "float"}
}
}
}
}
}
}
}
For example I want to get the rooms within the price range of 100 and 200$ between the dates 1st and 7th of July.
So I came up with this logic:
Either customPrices.date must be between 2019-07-01 and 2019-07-07 and customPrices.price between 100 and 200.
or the nightlyPrice must be between 100 and 200 and no customPrices.date is set between 05 and 07 July.
However I couldn't be able to apply this logic to Elastic Search, nested objects / queries are kinda tricky I guess.
This is the final query I came up with:
{
"query": {
"bool": {
"filter": [
{
"term": {
"status": "active"
}
}
],
"must": [
{
"bool": {
"should": [
{
"nested": {
"path": "customPrices",
"query": {
"bool": {
"must": [
{
"range": {
"date": {
"from": "2019-07-01",
"to": "2019-07-07"
}
}
},
{
"range": {
"price": {
"from": 100,
"to": 200
}
}
}
]
}
}
}
},
{
"bool": {
"must": [
{
"range": {
"nightlyPrice": {
"from": 100,
"to": 200
}
}
}
],
"must_not": [
{
"nested": {
"path": "customPrices",
"query": {
"range": {
"customPrices.date": {
"from": "2019-07-01",
"to": "2019-07-07"
}
}
}
}
}
]
}
}
]
}
}
]
}
}
}
The problem with this query is if customPrices.date matches the date range it never matches the document no matter the price range is. I experimented with 1 - 100000$ price range and it still doesn't match.
Tried to use the explain API to understand why a specific document didn't match but I don't understand it, it says user requested match_none query but there's this should query so it should match the nested query (first one):
{
"_index": "adverts",
"_type": "advert",
"_id": "13867",
"matched": false,
"explanation": {
"value": 0.0,
"description": "Failure to meet condition(s) of required/prohibited clause(s)",
"details": [
{
"value": 0.0,
"description": "no match on required clause (+(ToParentBlockJoinQuery (MatchNoDocsQuery(\"User requested \"match_none\" query.\")) (+nightlyPrice:[100.0 TO 200.0] -ToParentBlockJoinQuery (customListingPrices.date:[1561939200000 TO 1562543999999]))) #status:active",
"details": [
{
"value": 0.0,
"description": "Failure to meet condition(s) of required/prohibited clause(s)",
"details": [
{
"value": 0.0,
"description": "no match on required clause (ToParentBlockJoinQuery (MatchNoDocsQuery(\"User requested \"match_none\" query.\")) (+nightlyPrice:[100.0 TO 200.0] -ToParentBlockJoinQuery (customListingPrices.date:[1561939200000 TO 1562543999999])))",
"details": [
{
"value": 0.0,
"description": "No matching clauses",
"details": []
}
]
},
{
"value": 0.0,
"description": "match on required clause, product of:",
"details": [
{
"value": 0.0,
"description": "# clause",
"details": []
},
{
"value": 1.0,
"description": "status:active",
"details": []
}
]
}
]
}
]
},
{
"value": 0.0,
"description": "match on required clause, product of:",
"details": [
{
"value": 0.0,
"description": "# clause",
"details": []
},
{
"value": 1.0,
"description": "DocValuesFieldExistsQuery [field=_primary_term]",
"details": []
}
]
}
]
}
}
Any help or idea is greatly appreciated...

Answer 1

If you closely look at the first must clause, it appears that you haven't mentioned the entire path of the field.
{
"range":{
"date":{ <-- must be "customPrices.date"
"from":"2019-07-01",
"to":"2019-07-07"
}
}
},
{
"range":{
"price":{ <-- must be "customPrices.price"
"from":100,
"to":200
}
}
}
Below is how the query should be and should work fine for your use case.
Query
POST <your_index_name>/_search
{
"query":{
"bool":{
"filter":{
"term":{
"status":"active"
}
},
"must":[
{
"bool":{
"should":[
{
"bool":{
"must":[
{
"nested":{
"path":"customPrices",
"query":{
"bool":{
"must":[
{
"range":{
"customPrices.date":{
"gte":"2019-07-01",
"lte":"2019-07-09"
}
}
},
{
"range":{
"customPrices.price":{
"gte":100,
"lte":200
}
}
}
]
}
}
}
}
]
}
},
{
"bool":{
"must":[
{
"range":{
"nightlyPrice":{
"gte":100,
"lte":200
}
}
}
],
"must_not":[
{
"nested":{
"path":"customPrices",
"query":{
"range":{
"customPrices.date":{
"gte":"2019-07-05",
"lte":"2019-07-07"
}
}
}
}
}
]
}
}
]
}
}
]
}
}
}
Hope it helps!