BigQuery
ToolJet can connect to BigQuery databases to run BigQuery queries.
Connection
To connect to BigQuery, you need to enable BigQuery API in your Google Cloud Console. You can follow the steps to enable BigQuery API from this link.
Next, you need to create a service account and generate a key for the same. You can follow the steps to create a service account from this link.
Now, copy and paste the data from the downloaded JSON file into the Private key field in the BigQuery data source form.
The json file should look like this:
{
"type": "service_account",
"project_id": "tooljet-279812",
"private_key_id": "ea6e234sdfsdf3242b91525626edeef74a14e58761",
"private_key": "-----BEGIN PRIVATE KEY-----\nMIIEvQIBADAAhdh67sidfnIUWWWBAQC8V+z0vaM/rFiA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\nZ+2Eser4Z5BpqfFjqFW8MhY=\n-----END PRIVATE KEY-----\n",
"client_email": "[email protected]",
"client_id": "106795637455432158803",
"auth_uri": "https://accounts.google.com/o/oauth2/auth",
"token_uri": "https://oauth2.googleapis.com/token",
"auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
"client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/tooljettest%40tooljet-279812.iam.gserviceaccount.com"
}

Click on Test connection button to verify if the credentials are correct and that the API is accessible to ToolJet server. Click on Save button to save the data source.
Querying BigQuery
Click on +
button of the query manager at the bottom panel of the editor and select the database added in the previous step as the data source. Select the operation that you want to perform and click Save to create the query.

Query results can be transformed using transformations. Read our transformations documentation to see how: link
Supported operations
List Datasets
Returns list of datasets.
Optional parameters:
- Options: This can be used to filter the list.

List Tables
Return list of tables within a dataset
Required parameters:
- Dataset: Enter the dataset name.

Query
Return data based on the Query
. Query options
(Reference), and Query result options
(Reference).

Insert Record
- To insert a record.

Delete Record
- To delete a record.

NOTE: Be careful when deleting records in a table. If you omit the WHERE clause, all records in the table will be deleted!
Update Record
- To update a record.

NOTE: Be careful when deleting records in a table. If you omit the WHERE clause, all records in the table will be updated!
Create View
- To create a view.

Create Table
- To create a table.
NOTE: visit -https://github.com/googleapis/nodejs-bigquery/blob/main/samples/createTable.js for more info on schema.
Delete Table
- To delete a table.