Accessing Data from BigQuery

Cloud-based data warehouses such as Google BigQuery are frequently used in analytics. Magpie can access data from BigQuery using specialized connectors.

Interacting with BigQuery is similar to interacting with relational databases. By creating a BigQuery data source, you can use Magpie to access data within the warehouse cluster and either import data into Magpie for further analysis, or execute queries directly against the live warehouse.

Google BigQuery sources have a few key attributes that need to be configured as part of their creation. Please view the Data Source JSON specification for more details. An example of such a command for Redshift is shown below.

create data source {
  "name": "my_bigquery_source",
  "sourceType": "BigQuery",
  "projectId": "sample-bq-project",
  "billedProjectId": "sample-bq-project"

Once a BigQuery source has been created, the tables within it can be used as the underlying storage for tables within Magpie. The commands present in the "Accessing Data From JDBC Sources" section are broadly applicable to BigQuery data sources as well.

Note that BigQuery is case sensitive when referencing datasets and tables whereas Magpie is case insensitive, and coverts all references to lowercase before processing. If you need to access BigQuery tables with capital letters or special characters in the name, quote the reference using backticks. For example:

list tables in data source my_bigquery_source schema `MyCaseSensitiveSchema`


To access this type of data source, you may need to adjust the security configuration of your cloud environment. Please reach out to a member of the Silectis team with any questions or support requests.

To utilize BigQuery, you need to enable the BigQuery API ( and the BigQuery Storage API ( from the Google Cloud Console. See Google’s page on Enabling and disabling APIs for more info. Furthermore, you will need to grant several roles to the Magpie cluster service account to allow access.

The table below summaries the role requirements:


Reading from Tables

Reading from Views

Executing SQL












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