Hi guys,
I am trying to calculate the `_score` of the document as a sum of IDs of my
nested docs.
Here is the mapping:
```
PUT /test/property/_mapping
{
"property": {
"properties": {
"destination_id": {
"type": "long"
},
"rates": {
"type": "nested",
"properties": {
"id": {
"type": "long"
},
"end_date": {
"type": "date",
"format": "dateOptionalTime"
},
"start_date": {
"type": "date",
"format": "dateOptionalTime"
}
}
}
}
}
}
```
and here is my query:
```
GET /test/property/_search
{
"query": {
"filtered": {
"query": {
"nested": {
"path": "rates",
"score_mode": "sum",
"query": {
"function_score": {
"functions": [
{
"script_score": {
"script": "doc['id'].value"
}
}
]
}
}
}
}
}
}
}
```
It works fine and score is calculated properly when I don't have field `id`
in my main (top level) document.
Something unexpected happens though as soon as I add document constructed
that way:
```
POST /test/property/3
{
"destination_id": 1,
"id": 12,
"rates": [
{
"id": 9,
"end_date": "2014-10-15"
},
{
"id": 10,
"end_date": "2014-10-20"
}
]
}
```
after that all my `_scores` are reduced to 0.
Seems like the top attribute kind of 'overshadows' the nested ones...
anyway shouldn't happen as I explicitly use nested path?
I wonder why is that happening and how can I make sure that one incorrectly
indexed document will not have such an impact on the search query?
Thank you,
Gosia
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