Is there a way to include a Int32 field in a search index in MongoDB (with Atlas Search)? - mongodb

Question

I have a collection in a Mongo Atlas DB on which I have a search index including some specific string fields. What I want to do is include a Int32 field in this search index to be able to do a search on this number, along with the other fields. I tried to add the field (Number) as a new field in the search index, with the type number, but it doesn't work. I guess it's because it compares the query, a string, with an Int32, but is there a way to make it work ? Or do I have to copy the "Number" in another field "NumberString" to include in the search index ?
Here is an example of one of these documents :
{
“_id” : ObjectId(“010000000000000000000003”),
“Description” : {
“fr-CA” : “Un lot de test”,
“en-CA” : “A test item”
},
“Name” : {
“fr-CA” : “Lot de test”,
“en-CA” : “Test item”
},
“Number” : 345,
“Partners” : [],
[...]
}
The index :
{
“mappings”: {
“dynamic”: false,
“fields”: {
“Description”: {
“fields”: {
“en-CA”: {
“analyzer”: “lucene.english”,
“searchAnalyzer”: “lucene.english”,
“type”: “string”
},
“fr-CA”: {
“analyzer”: “lucene.french”,
“searchAnalyzer”: “lucene.french”,
“type”: “string”
}
},
“type”: “document”
},
“Name”: {
“fields”: {
“en-CA”: {
“analyzer”: “lucene.english”,
“searchAnalyzer”: “lucene.english”,
“type”: “string”
},
“fr-CA”: {
“analyzer”: “lucene.french”,
“searchAnalyzer”: “lucene.french”,
“type”: “string”
}
},
“type”: “document”
},
“Number”:
{
“representation”: “int64”,
“type”: “number”
},
“Partners”: {
“fields”: {
“Name”: {
“type”: “string”
}
},
“type”: “document”
}}}}
And finally the query I try to do.
db.[myDB].aggregate([{ $search: { "index": "default", "text": { "query": "345", "path": ["Number", "Name.fr-CA", "Description.fr-CA", "Partners.Name"]}}}])
For this example, I want the query to be applied on Number, Name, Description and Partners and to return everything that matches. I would expect to have the item #345, but also any items with 345 in the name or description. Is it possible ?
Thanks !

Answer 1

With your current datatype you, should be able to search for #345 in text. However, I would structure the query like so, to support the numeric field as well:
db.[myDB].aggregate([
{
$search: {
"index": "default",
"compound": {
"should":[
{
"text": {
"query": "345",
"path": ["Name.fr-CA", "Description.fr-CA", "Partners.Name"]
}
},
{
"near": {
"origin": 345,
"path": "Number",
"pivot": 2
}
}
]
}
}
}
])