Import Google Cloud Storage Data into FileMaker Pro

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Google Cloud Storage ODBC Driver

The Google Cloud Storage ODBC Driver is a powerful tool that allows you to connect with live data from Google Cloud Storage, directly from any applications that support ODBC connectivity.

Access Google Cloud Storage data like you would a database.



Create reports that integrate Google Cloud Storage data in Filemaker Pro.

One of the strengths of the CData ODBC driver is its ubiquitous support across many applications and platforms. In this article, you will configure the ODBC driver in FileMaker Pro and create data visualizations with Google Cloud Storage data.

Query Google Cloud Storage Data in FileMaker Pro

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. See the "Getting Started" chapter of the help documentation for a guide to creating a DSN on Windows or Unix-based systems like Mac OS X and Linux.

Authenticate with a User Account

You can connect without setting any connection properties for your user credentials. After setting InitiateOAuth to GETANDREFRESH, you are ready to connect.

When you connect, the Google Cloud Storage OAuth endpoint opens in your default browser. Log in and grant permissions, then the OAuth process completes

Authenticate with a Service Account

Service accounts have silent authentication, without user authentication in the browser. You can also use a service account to delegate enterprise-wide access scopes.

You need to create an OAuth application in this flow. See the Help documentation for more information. After setting the following connection properties, you are ready to connect:

  • InitiateOAuth: Set this to GETANDREFRESH.
  • OAuthJWTCertType: Set this to "PFXFILE".
  • OAuthJWTCert: Set this to the path to the .p12 file you generated.
  • OAuthJWTCertPassword: Set this to the password of the .p12 file.
  • OAuthJWTCertSubject: Set this to "*" to pick the first certificate in the certificate store.
  • OAuthJWTIssuer: In the service accounts section, click Manage Service Accounts and set this field to the email address displayed in the service account Id field.
  • OAuthJWTSubject: Set this to your enterprise Id if your subject type is set to "enterprise" or your app user Id if your subject type is set to "user".
  • ProjectId: Set this to the Id of the project you want to connect to.

The OAuth flow for a service account then completes.

When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

You can then load Google Cloud Storage data into tables in Filemaker Pro:

  1. In your solution, click File -> Import Records -> ODBC Data Source, and select the CData Google Cloud Storage DSN.
  2. In the resulting SQL Query Builder wizard, select tables and columns and then click Insert into SQL Query. You can edit this query directly. For example:

    SELECT Name, OwnerId FROM Buckets WHERE Name = 'TestBucket'

    You can use the UI to build filters in the WHERE clause by clicking the WHERE tab.

  3. In the resulting Import Field Mapping wizard, you can define mappings from columns in the data source to the columns in a destination table. To create a new table for the query results, select New Table ("CData GoogleCloudStorage Source") from the Target box, and click Import.

For more information on the SQL that the driver supports out of the box, see the help documentation.

Process Data at Design Time

You can sort and aggregate data, as well as calculate summary functions, while you browse tables. To manipulate the view of data at design time, first complete the two steps below:

  1. Switch to Browse mode: Click the Mode pop-up menu in the footer of the application.
  2. Switch to Table view: Click the table icon in the View As menu in the main toolbar of the application.

Aggregate and Summarize

Follow the procedure below to group column values and then display a summary, as shown in the screenshot below:

  1. Sort: Click the arrow in the Name column header and then click Sort Ascending in the resulting menu.
  2. Group: In the menu for the Name column click Add Trailing Group by Name to group the values and create a subsequent row where summary calculations can be inserted. Click Add Leading Group to introduce the group with a summary.
  3. Summarize: In the menu for a column that has been grouped, select a summary from the Trailing Subtotals menu.

the procedure below to create a simple bar chart that shows the total OwnerId for each Name.

  1. Click the arrow in the OwnerId column header and click "Chart by OwnerId" in the menu. If you have already grouped on a column in the Table view, Name, for example, you can select the option to chart OwnerId by Name.
  2. In the Chart Setup window, select columns to draw the chart: To add the column for the x-axis, click the button next to the Data box.

Selecting the x-axis and y-axis will draw the chart. You can also process data in the Chart Setup: Set the following options to create a basic chart.

  1. Click the button next to the Data box and select Specify Field Value. Select a column in the resulting dialog.
  2. Select a summary for the y-axis in the Summary menu.