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Overview
The SAP Analytics Cloud Delete Snap is a Write type Snap that enables you to delete SAP Analytics Cloud objects such as fact table, and dimension members for a specified model and dimension. This Snap supports batching with a minimum batch size of 1.
Prerequisites
A valid SAP Analytics Cloud account with appropriate read and write access.
Configuring Accounts
This Snap uses account references created on the Accounts page of SnapLogic Manager to handle access to this endpoint. See SAP Analytics Cloud Accounts for information on setting up this type of account.
Configuring Views
Input | This Snap has exactly one document input view. |
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Output | This Snap has exactly one document output view. |
Error | This Snap has at most one document error view and produces zero or more documents in the view. |
Limitations and Known Issues
Currently, the Snap supports deleting only dimension members, and fact tables.
Modes
- Ultra pipelines: Works in Ultra pipelines.
- Spark mode: Not supported in /wiki/spaces/SD/pages/1437917 mode.
Snap Settings
Label | Required. The name for the Snap. Modify this to be more specific, especially if there are more than one of the same Snap in the pipeline. | ||||||||||||
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Request type | The SAP Analytics Cloud object to be deleted. Currently, the Snap supports deleting the following objects:
Default value: Dimension members | ||||||||||||
Model ID | Required. The ID of the target model whose Fact table is to be deleted. This is a suggestible field and the Snap suggest's IDs of all the models based on the account settings. Default value: [None] | ||||||||||||
Dimension ID | Conditional. The dimension ID for the dimensions in the SAP Analytics Cloud instance. This is a suggestible field and lists out all the dimensions for a specific model. This property is required only when deleting dimension members, for deleting fact tables the model ID is sufficient. Default value: [None] | ||||||||||||
Batch size | Number of documents to be processed per batch. The smallest value that can be specified here is 1. The output is segregated per batch. Default value: [None] | ||||||||||||
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