Actions14
Create Batch
AI-generatedOverview
The Fireberry node's 'Create Batch' operation allows users to create multiple records in Fireberry in a single batch request. This operation is useful for efficiently inserting large sets of data into Fireberry, such as bulk importing customer information, product lists, or any other structured data. Users specify the object type and provide an array of records to be created. The node supports batching options to control the number of items per batch and the interval between batches, helping to manage API rate limits and optimize performance.
Use Case Examples
- Bulk import a list of new contacts into Fireberry by specifying the 'Contact' object type and providing an array of contact records.
- Create multiple product entries in Fireberry by selecting the 'Product' object type and passing an array of product data objects.
Properties
| Name | Meaning |
|---|---|
| Object Type Name or ID | The Fireberry object type to create records for, selected from a list or specified by ID. This determines the schema of the records being created. |
| Records | An array of record objects to create in Fireberry. Each record is an object with field names as keys and their corresponding values. |
| Options | Additional options for the operation, including batching settings to control the number of items per batch and the interval between batches. |
Output
JSON
json- The JSON output contains the response from Fireberry for each created record or batch of records.
Dependencies
- Requires Fireberry API credentials for authentication.
Troubleshooting
- Common issues include exceeding Fireberry API rate limits, which can be mitigated by adjusting batch size and interval options.
- Errors related to invalid object type or malformed records may occur if the specified object type does not exist or records do not conform to the expected schema.
- The node throws an error if an unsupported operation is specified or if the API call fails; enabling 'Continue On Fail' allows processing to continue with error details included in the output.