I have been trying for a long time now but the nested field value is always saying missing field value while calculating the score.
Mapping:
{
"main_idx" : {
"mappings" : {
"properties" : {
"_class" : {
"type" : "keyword",
"index" : false,
"doc_values" : false
},
"service" : {
"type" : "nested",
"properties" : {
"_class" : {
"type" : "keyword",
"index" : false,
"doc_values" : false
},
"serviceTypeEarliestAvailability" : {
"type" : "nested",
"properties" : {
"_class" : {
"type" : "keyword",
"index" : false,
"doc_values" : false
},
"earliestAvailableDateTimeByType" : {
"type" : "date",
"format" : "date_hour_minute_second"
},
"serviceType" : {
"type" : "text"
},
"servicesMedium" : {
"type" : "keyword"
}
}
}
}
}
}
}
}
}
For simplicity, I have kept just one record. Glimpse of the record
"serviceTypeEarliestAvailability" : [
{
"serviceType" : "Service Type",
"earliestAvailableDateTimeByType" : "2021-12-09T19:39:16",
"servicesMedium" : [
"MED1",
"MED2",
"MED3",
"MED4"
]
}
],
The following query gives: "A document doesn't have a value for a field! Use doc[].size()==0 to check if a document is missing a field!"
I tried using field_value_factor
instead of script_score
but it's the same problem and it complains about the missing field value.
GET /main_idx/_search
{
"explain": true,
"query": {
"nested": {
"path": "service",
"query": {
"nested": {
"score_mode": "max",
"path": "service.serviceTypeEarliestAvailability",
"query": {
"function_score": {
"query": {
"match_all": {
"boost": 1
}
},
"functions": [
{
"filter": {
"match": {
"service.serviceTypeEarliestAvailability.serviceType": "type"
}
},
"weight": 10
},
{
"script_score": {
"script": {
"source": "(doc['service.serviceTypeEarliestAvailability.earliestAvailableDateTimeByType'].value.getMillis())"
}
}
}
]
}
}
}
}
}
}
}