Deploy a Custom Script to Data 360 Sandbox by Using UI (Beta)
The deployment process packages your Python script, its dependencies, and Data 360 configuration, and then uploads them to Data 360.
Code extension is a pilot or beta service that is subject to the Beta Services Terms at Agreements - Salesforce.com or a written Unified Beta Agreement if executed by Customer, and applicable terms in the Product Terms Directory. Use of this pilot or beta service is at the Customer's sole discretion.
| Edition Table |
|---|
| Available in: Developer, Enterprise, Performance, and Unlimited Editions. See Data 360 edition availability. |
| User Permissions Needed | |
|---|---|
| To deploy a custom script to Data 360 Sandbox: | Permission set:
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- Write and validate custom scripts locally. See Write and Validate Custom Scripts.
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Go to your SDK project directory.
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Package your code and its dependencies into a
.zipfile.
The CLI automatically packages these files.
- Source file:
entrypoint.py - Dependencies:
requirements.txtand equivalent dependency files - Configuration:
config.jsonand other configuration files - Project files: Essential project structure files (for example, Dockerfile)
To ensure a successful deployment, confirm that your zipped file size is less than 5 GB.
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In Data 360, click the Code Extension tab.
If the Code Extension tab isn't visible, click More and select Code Extension.
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Click New.
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Enter these details, and then click Next.
| Field | Description |
|---|---|
| Deployment Name | A name for your deployment. This name helps you and your team identify the custom code in the Data 360 user interface. |
| Deployment API Name | A unique identifier for your custom script deployment. The API name can contain only underscores and alphanumeric characters. It must be unique, begin with a letter, and be no more than 40 characters. The name can’t include spaces, end with an underscore, or contain two consecutive underscores. |
| Description | A concise summary of what your custom code does and its intended business use case |
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Specify these code details, and then click Next.
Field Description Programming Language Select Python, the language used to write your custom script. Code Type Select Script. Use in Feature Select Batch Data Transform to use the deployed script in your batch data transform. Compute Size Select the compute size based on your expected workload and resource requirements. - Larger sizes provide more vCPUs and memory but consume more credits.
- The available compute sizes are:
Standard - Large - 4 Compute Units per hour,Standard - X-Large - 8 Compute Units per hour,Standard - 2X-Large - 16 Compute Units per hour, andStandard - 4X-Large - 32 Compute Units per hour. - With each size increase, the number of CPU cores and memory doubles.
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To upload your custom code, click File Upload and select your zipped package. You can also drag your package into the upload window.
Use the dropdown options to remove or replace the uploaded custom code as needed.
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Click Submit Code to deploy your script.
The deployment completes in a few minutes. Monitor the deployment status on the Code Extension page.