This is the documentation for Recommendations AI, Retail Search, and the new Retail console.

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.