Connect to CSV Data Using the Script Function in Claris FileMaker Pro

Claris FileMaker is a low-code database application development tool that enables users to create custom apps for managing and organizing data. It combines a powerful relational database engine with an intuitive interface, allowing both technical and non-technical users to design and deploy applications across desktop, web, and mobile platforms.

In this article, we'll explore how to use the CData ODBC Driver for CSV and FileMaker scripting to connect to CSV data.

Create an ODBC Data Source for CSV

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. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

Connecting to Local or Cloud-Stored (Box, Google Drive, Amazon S3, SharePoint) CSV Files

CData Drivers let you work with CSV files stored locally and stored in cloud storage services like Box, Amazon S3, Google Drive, or SharePoint, right where they are.

Setting connection properties for local files

Set the URI property to local folder path.

Setting connection properties for files stored in Amazon S3

To connect to CSV file(s) within Amazon S3, set the URI property to the URI of the Bucket and Folder where the intended CSV files exist. In addition, at least set these properties:

• AWSAccessKey: AWS Access Key (username)
• AWSSecretKey: AWS Secret Key

Setting connection properties for files stored in Box

To connect to CSV file(s) within Box, set the URI property to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect to Box.

Dropbox

To connect to CSV file(s) within Dropbox, set the URI proprerty to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect to Dropbox. Either User Account or Service Account can be used to authenticate.

SharePoint Online (SOAP)

To connect to CSV file(s) within SharePoint with SOAP Schema, set the URI proprerty to the URI of the document library that includes the intended CSV file. Set User, Password, and StorageBaseURL.

SharePoint Online REST

To connect to CSV file(s) within SharePoint with REST Schema, set the URI proprerty to the URI of the document library that includes the intended CSV file. StorageBaseURL is optional. If not set, the driver will use the root drive. OAuth is used to authenticate.

Google Drive

To connect to CSV file(s) within Google Drive, set the URI property to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect and set InitiateOAuth to GETANDREFRESH.

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.

Connect and Sync CSV data with FileMaker Using Scripts

In this section, we walk through the steps to connect live CSV data to FileMaker using the CData ODBC Driver for CSV and the Script function. During the initial import, FileMaker brings in all data from the external data source. From the second import onward, it updates only the data that has changed in the external source (a differential update). You can also replace the data in the current record order and schedule these differential updates for automated syncing.

You can download and install the latest version of FileMaker Pro for your Mac/Windows/Linux systems from this link.

Connect and sync CSV data with FileMaker using scripts

Scripting in FileMaker automates complex tasks and workflows by running a sequence of actions with a single command. By using scripting to integrate with CSV, you can automatically connect to, import, update, and replace CSV data within your FileMaker applications, streamlining data management and improving efficiency.

First-time importing and adding CSV data using script

In this section, we'll use scripts to import CSV data into FileMaker by following these steps:

1. Open FileMaker Pro. Navigate to Create from the left panel and select Blank > Create.
👁 Create a new application in FileMaker

2. Enter a filename of your choice and click Save.
3. In the Manage Database window, go to the Tables tab and create or rename the table where you want to display the CSV data.
👁 Create or rename existing the table

4. In the Fields tab, create and add the fields you want to use in the table.
👁 Add the necessary fields.

5. In the Relationships tab, add table relationships if there are multiple tables, then click OK.
👁 Add the table relationships.

6. To reopen and modify the table structure, go to File > Manage > Database.
7. Navigate to Scripts > Script Workspace.
👁 Open the Script Workspace.

8. Select New Script to open a new script workspace.
9. From the Steps panel on the right, select Records > Import Records > Insert into Script.
👁 Insert into script from import records.

10. In the Specify Data Source dropdown, choose ODBC Data. 👁 Click ODBC Data from Specify data source.
    
11. Select CData CSV Sys from the Select ODBC Data Source window, and click Continue. Enter your CSV credentials and click OK.
👁 Select the data source driver.
👁 Enter the data source credentials to aunthenticate.

12. In the Specify ODBC SQL Query dialog, enter the SQL query in the SQL text editor to import the desired CSV data.
👁 Specify the SQL query.

13. Alternatively, select Query Builder to open the SQL Query Builder window. Choose the target table from the Tables section and relevant columns from the Columns section. Click Insert into SQL Query after each selection to auto-generate the query. You can also manually edit the query using WHERE and ORDER BY clauses or the designated tabs. Click OK to finalize the query.
👁 Specify the columns in the table to auto-generate the SQL Query.

14. Click OK.
15. In the Specify import order option, click Specify and enter the CSV credentials.
👁 Click Specify.

16. In the Specify Import Order window, define the import order for the target fields you added earlier. Select Add between the source and target fields to insert the CSV data as new records in the table. Click Import.
👁 Select

17. The script now appears in the workspace. Click Run to execute the script and process the import.
👁 Click Run to execute the script.

18. FileMaker imports the CSV data as a table.
👁 The CSV data gets loaded.

Update or Replace Imported CSV data Using a Script

After importing the CSV data into FileMaker, use scripts to update or replace any changes made in CSV by following this process:

1. Go back to the Script Workspace by following the steps mentioned in the earlier section.
2. Select the existing script, click the settings button, choose Specify under Specify Import Order, and re-enter the CSV credentials to authenticate.
👁 Click Specify again from the previous script.

3. In the Specify Import Order window, choose Update between source and target to update the imported CSV data. This updates the target's found set with CSV data values from selected fields when the match fields have the same values. You must define at least one match field in the mapping and select the checkbox Add remaining data as new records. Click Import.
👁 Select
👁 Match at least one field in the mappings.

4. Alternatively, choose the Replace option instead of Update, based on your use case. This replaces the selected fields in the target's found set with CSV data in the current record order. Click Import.
👁 Select

5. FileMaker adds the script to the workspace. Click Run to execute the script and process the import query.
6. FileMaker imports the updated or replaced CSV data as a table.

Get Started Today

Download a free 30-day trial of CData ODBC Driver for CSV to integrate CSV data into Claris FileMaker and work with CSV data in your FileMaker applications.

Reach out to our Support Team if you have any questions.