This Recommendations AI documentation references the Recommendations console. We recommend switching to the Retail console and using the Retail documentation, which documents Recommendations AI, the Retail console, and Retail Search.

If you are using the v1beta version of Recommendations AI, migrate to the Retail API version.

BigQuerySource

BigQuery source import data from.

JSON representation
{
  "projectId": string,
  "datasetId": string,
  "tableId": string,
  "gcsStagingDir": string,
  "dataSchema": string,
  "partitionDate": {
    object (Date)
  }
}
Fields
projectId

string

The project ID (can be project # or ID) that the BigQuery source is in with a length limit of 128 characters. If not specified, inherits the project ID from the parent request.

datasetId

string

Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters.

tableId

string

Required. The BigQuery table to copy the data from with a length limit of 1,024 characters.

gcsStagingDir

string

Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory.

dataSchema

string

The schema to use when parsing the data from the source.

Supported values for product imports:

Supported values for user events imports:

Supported values for auto-completion imports:

  • suggestions (default): One JSON completion suggestion per line.
  • denylist: One JSON deny suggestion per line.
  • allowlist: One JSON allow suggestion per line.
partitionDate

object (Date)

BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format.

Only supported when ImportProductsRequest.reconciliation_mode is set to FULL.