I am trying to create a script using the script_score
of the function_score
.
I have several documents whose rankings
field is type="nested"
.
The mapping for the field is:
"rankings": {
"type": "nested",
"properties": {
"rank1": {
"type": "long"
},
"rank2": {
"type": "float"
},
"subject": {
"type": "text"
}
}
}
A sample document is:
"rankings": [
{
"rank1": 1051,
"rank2": 78.5,
"subject": "s1"
},
{
"rank1": 45,
"rank2": 34.7,
"subject": "s2"
}]
What I want to achieve is to iterate over the nested objects of rankings. Actually, I need to use i.e. a for loop in order to find a particular subject
and use the rank1, rank2
to compute something.
So far, I use something like this but it does not seem to work (throwing a Compile error):
"function_score": {
"script_score": {
"script": {
"lang": "painless",
"inline":
"sum = 0;"
"for (item in doc['rankings_cug']) {"
"sum = sum + doc['rankings_cug.rank1'].value;"
"}"
}
}
}
I have also tried the following options:
for
loop using :
instead of in
: for (item:doc['rankings'])
with no success.for
loop using in
but trying to iterate over a specific element of the object, i.e. the rank1
: for (item in doc['rankings.rank1'].values)
, which actually compile but it seems that it finds a zero-length array of rank1
.I have read that _source
element is the one which can return JSON-like objects, but as far as I found out it is not supported in Search queries.
Can you please give me some ideas of how to proceed with that?
Thanks a lot.
You can access _source via params._source
. This one will work:
PUT /rankings/result/1?refresh
{
"rankings": [
{
"rank1": 1051,
"rank2": 78.5,
"subject": "s1"
},
{
"rank1": 45,
"rank2": 34.7,
"subject": "s2"
}
]
}
POST rankings/_search
POST rankings/_search
{
"query": {
"match": {
"_id": "1"
}
},
"script_fields": {
"script_score": {
"script": {
"lang": "painless",
"inline": "double sum = 0.0; for (item in params._source.rankings) { sum += item.rank2; } return sum;"
}
}
}
}
DELETE rankings
Unfortunately, ElasticSearch scripting in general does not support the ability to access nested documents in this way (including Painless). Perhaps, consider a different structure to your mappings where rankings are stored in multi-valued fields if you need to be able to iterate across them in such a way. Ultimately, the nested data will need to de-normalized and put into the parent documents to be able to gets scores in the way described here.
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