How do I create an Azure Cognitive Search index for embedded document with $oid unique identifier type? - azure-devops

Question

My current data structure is something like this,
"customer": {
"_id": {
"$oid": "623a4b1bdb6d0a1210fd0234"
},
"customerName": "Andrew Jr"
},
I will need to create ACS (Azure Cognitive Search for the above data structure. So I was using something like this:
{
"name": "customer",
"type": "Edm.ComplexType",
"fields":
[
{
"name": "customerName",
"type": "Edm.String",
"searchable": true,
"filterable": true,
"sortable": true,
"facetable": true
}
]
},
But it will throw errors to me when I add the _id as a string data type, for example, below:
{
"name": "customer",
"type": "Edm.ComplexType",
"fields":
[
{
"name": "_id",
"type": "Edm.String",
"searchable": true,
"filterable": true,
"sortable": true,
"facetable": true
},
{
"name": "customerName",
"type": "Edm.String",
"searchable": true,
"filterable": true,
"sortable": true,
"facetable": true
}
]
},
Any ideas how to add the following format to the search?
"_id": {
"$oid": "623a4b1bdb6d0a1210fd0234"
},
Thanks,

Answer 1

Most likely you are getting the error is because of invalid name for the field (_id).
Based on the naming rules defined here, a field name can only contain letters, numbers, underscores ("_") however the first character of the field name must be a letter.
Since you are naming your field as _id, you will get an error.