AWS CloudSearch: The value of [fieldname] cannot be a JSON array or object

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I am having this issue with a field of type int-array. Using the aws-sdk for Node.js, I am submitting a document via the CloudSearchDomain.uploadDocuments() method. The JSON for the document (in the searchContent variable) is created in the node process, then I use:

var params = {
  contentType: 'application/json',
  documents: JSON.stringify([searchContent])
};
csd.uploadDocuments(params, function(err, data){
  ...(callback process)...
});

The non-stringified searchContent object looks like this:

{ id: 1,
  type: 'Product',
  hash_type_id: 'Product-1',
  name: 'Test product',
  description: 'A test product',
  category: [ 2 ],
  content: '<some text here>',
  state: [ 1 ],
  hash_all: '<some text>'
}

and stringified like this:

[{"id":1,"type":"Product","hash_type_id":"Product-1","name":"Test product","description":"A test product","content":" <some text>","category":[2],"state":[1],"hash_all":"<some text>"}]

The error I am getting is:

{
  "message": "{ [\"The value of category cannot be a JSON array or object\"] }",
  "code": "DocumentServiceException",
  "time": "2014-11-20T01:24:27.499Z",
  "statusCode": 400,
  "retryable": false
}

As mentioned, the category field is int-array type. Why would I be getting this message?

UPDATE: I have also tried using a typed array (Int16Array) for the category field, with exactly the same result.

1

There are 1 answers

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mwotton On BEST ANSWER

The document needs to be wrapped in the batch processing parameters. In a batch, each document needs to have this format:

{
  type: "add|update|delete",
  id: "Unique ID",
  fields: Document JSON here
}

And this needs to be in an array, even if it's just a single document. So the JSON for the document in the question becomes:

{
  type: "add",
  id: "Product-1",
  fields: { id: 1,
    type: 'Product',
    hash_type_id: 'Product-1',
    name: 'Test product',
    description: 'A test product',
    category: [ 2 ],
    content: '<some text here>',
    state: [ 1 ],
    hash_all: '<some text>'
  }
}