#BIGQUERY JSON PARSE UPDATE#
#BIGQUERY JSON PARSE DRIVER#

In addition, if you also create a report in Power BI service using a gateway, you might still get this error. In this case, you might need to enter a Billing Project ID in the Billing Project advanced option in the Power Query Connection settings.

When you try to connect to Google BigQuery from Power BI Desktop, you might get the following error message:ĭatasource.Error: ODBC: ERROR (100) Error interacting with REST API: Access Denied: Project : The user permissions in project. In the Power BI service, the connector can be accessed using the Cloud-to-Cloud connection from Power BI to Google BigQuery. The Google BigQuery connector is available in Power BI Desktop and in the Power BI service. There are a few limits and considerations to keep in mind when using the Google BigQuery connector with Power BI. Connecting to Google BigQuery in Power BI Desktop This section describes any limitations or considerations of the Google BigQuery connector. Once you've selected the advanced options you require, select OK in Power Query Desktop or Next in Power Query Online to connect to your Google BigQuery data. This option is only available in Power Query Desktop. In this version of native database query functionality, you need to use fully qualified table names in the format, for example SELECT * FROM DEMO_DB.PUBLIC.DEMO_TABLE. This option is only available in Power Query Desktop.įor information, go to Import data from a database using native database query. The project that you want to run native queries on. You can enter another value in minutes to keep the connection open longer.

#BIGQUERY JSON PARSE DRIVER#

The default depends on the driver default. How long Power Query waits for a query to complete and return results. You can change this value if your connection doesn't complete before 15 seconds (the default value.) The standard connection setting (in seconds) that controls how long Power Query waits for a connection to complete. This option can be set to false to not use the Storage API and use REST APIs instead. If no Billing Project ID is provided, by default the first available project returned by Google APIs will be used.Ī flag that enables using the Storage API of Google BigQuery. Permissions and billing are tied to this project. Advanced optionĪ project against which Power Query will run queries. The following table lists all of the advanced options you can set in Power Query Desktop and Power Query Online. Then select Next to transform the data in Power Query.īoth Power Query Desktop and Power Query Online provide a set of advanced options that you can add to your query if needed. Once you successfully connect, a Navigator window appears and displays the data available on the server. More information: Connect using advanced options If you want to use any advance options, select Advanced options. Select your Google account and approve connecting.Īlthough the sign in dialog box says you'll continue to Power BI Desktop once you've signed in, you'll be sent to your online app instead. Then select Sign in.Ī Sign in with Google dialog appears. If you're using on-premises data, select an on-premises data gateway. In the Google BigQuery Database dialog, you may need to either create a new connection or select an existing connection. In the Get Data experience, select the Database category, and then select Google BigQuery. To connect to Google BigQuery from Power Query Online, take the following steps:

Then select either Transform Data to transform the data in Power Query or Load to load the data in Power BI Desktop.Ĭonnect to Google BigQuery data from Power Query Online Once signed in, select Connect to continue. Select your Google account and approve connecting to Power BI Desktop. Then select Connect.Ī Sign in with Google dialog appears. In this case, select Service Account Login and enter your service account email and your service account JSON key file contents. You can also sign in using a Google service account. In this example, you'll use the organizational account to sign in. The Google BigQuery connector supports connecting through an organizational account or a service account sign-in. In the Get Data experience, search for and select Google BigQuery. To connect to Google BigQuery from Power Query Desktop, take the following steps: Capabilities supportedĬonnect to Google BigQuery data from Power Query Desktop You'll need a Google account or a Google service account to sign in to Google BigQuery.

#BIGQUERY JSON PARSE UPDATE#

Due to this change, you will need to update your Power BI Desktop version to June 2021 to support signing in to Google. Effective July 2021, Google will discontinue support for sign-ins to Google accounts from embedded browser frameworks.

Bigquery json parse