I use the Azure Search indexer to index documents from a MongoDB CosmosDB which contains objects with fields named _id
.
As Azure Search does not allow underscores at the beginning of a field name in the index, I want to create a field mapping.
JSON structure in Cosmos --> structure in index
{
"id": "test"
"name": "test",
"productLine": {
"_id": "123", --> "id": "123"
"name": "test"
}
}
The documentation has exactly this scenario as an example but only for a top level field.
"fieldMappings" : [ { "sourceFieldName" : "_id", "targetFieldName" : "id" } ]}
I tried the following:
"fieldMappings" : [ { "sourceFieldName" : "productLine/_id", "targetFieldName" : "productLine/id" } ] }
that results in an error stating:
Value is not accepted. Valid values: "doc_id", "name", "productName".
What is the correct way to create a mapping for a target field that is a subfield?
It's not possible to directly map subfields. You can get around this by adding a Skillset with a Shaper cognitive skill to the indexer, and an output field mapping.
You will also want to attach a Cognitive Services resource to the skillset. The shaper skill doesn't get billed, but attaching a Cognitive Services resource allows you to process more than 20 documents per day.
Shaper skill
{
"@odata.type": "#Microsoft.Skills.Util.ShaperSkill",
"context": "/document",
"inputs": [
{
"name": "id",
"source": "/document/productLine/_id"
},
{
"name": "name",
"source": "/document/productLine/name"
}
],
"outputs": [
{
"name": "output",
"targetName": "renamedProductLine"
}
]
}
Indexer skillset and output field mapping
"skillsetName": <skillsetName>,
"outputFieldMappings": [
{
"sourceFieldName": "/document/renamedProductLine",
"targetFieldName": "productLine"
}
]