Connections > Google BigQuery V2 connection > Connect to Google BigQuery

Connect to Google BigQuery

Let's configure the Google BigQuery V2 connection properties to connect to Google BigQuery.

Before you begin

Before you configure a connection, ensure that you download the Google service account key file in JSON format. The service account key file is created when you create a Google service account.

You require the client email, private key, and project ID from the service account key JSON file to create a Google BigQuery connection.

The following video shows you how to get the information you need from your Google BigQuery account:

Connection details

The following table describes the basic connection properties:

Property	Description
Connection Name	Name of the connection. Each connection name must be unique within the organization. Connection names can contain alphanumeric characters, spaces, and the following special characters: _ . + -, Maximum length is 255 characters.
Runtime Environment	Informatica Cloud Hosted Agent, the runtime environment where you want to run tasks.

Authentication type

Select the Service Account authentication type to access Google BigQuery and configure the authentication-specific parameters.

Service Account authentication

Service Account authentication requires at a minimum your Google BigQuery service account email, service account key, and project ID.

The following table describes the basic connection properties for Service Account authentication:

Property	Description
Service Account Email	The client_email value from the Google service account key JSON file.
Service Account Key	The private_key value from the Google service account key JSON file. To use the private key from the JSON file, enter the entire block of text found within the double quotation marks in the private_key field, starting with -----BEGIN PRIVATE KEY-----\n and ending at -----END PRIVATE KEY-----\n.
Project ID	The project_id value from the Google service account key JSON file. If you have created multiple projects with the same service account, enter the ID of the project that contains the dataset that you want to connect to.

Note: If you want to validate the credentials for the Service Account Email, Service Account Key, and Project ID during a test connection, set the flag CredentialValidation:true in the Provide Optional Properties field in advanced settings.

Advanced settings

The following table describes the advanced connection properties for Service Account authentication:

Property	Description
Enable BigQuery Storage API	Does not apply to a data loader task.
Storage Path	Path in Google Cloud Storage where the agent creates a local stage file to store the data temporarily. The agent uses this storage when it reads data in staging mode or writes data in bulk mode. Use one of the following formats: - gs://<bucket_name> - gs://<bucket_name>/<folder_name> When you enable cross-region replication in Google BigQuery, enter a Google Cloud Storage path that supports dual region storage.
Connection Mode	The mode that you want to use to read data from or write data to Google BigQuery. Select one of the following connection modes: - Simple. Flattens each field within the Record data type field as a separate field. - Hybrid. Displays all the top-level fields in the Google BigQuery table including Record data type fields. Google BigQuery V2 Connector displays the top-level Record data type field as a single field of the String data type. - Complex. Displays all the columns in the Google BigQuery table as a single field of the String data type. Default is Simple.
Use Legacy SQL for Custom Query	Select this option to use legacy SQL to define a custom query. If you clear this option, use standard SQL to define a custom query. This property doesn't apply if you configure the Google BigQuery V2 connection in hybrid or complex mode.
Dataset Name for Custom Query	When you define a custom query, specify a Google BigQuery dataset.
Schema Definition File Path	Storage path in Google Cloud Storage where the Hosted Agent create a JSON file with the sample schema of the Google BigQuery table. You can download the JSON file from the specified storage path in Google Cloud Storage to a local machine.
Region ID	The region name where the Google BigQuery dataset that you want to access resides. Note: Ensure that you specify a bucket name or the bucket name and folder name in the Storage Path property that resides in the specified region. For more information about the regions supported by Google BigQuery, see Dataset locations.
Staging Dataset	The Google BigQuery dataset name where you want to create the staging table to stage the data. You can define a Google BigQuery dataset that is different from the source or target dataset.
Provide Optional Properties	Comma-separated key-value pairs of custom properties in the Google BigQuery V2 connection to configure certain source and target functionalities.
Enable Retry	Does not apply to a data loader task.