LDAP Delete Attribute Value
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Snap type: | Write | |||||||
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Description: | This Snap deletes one or more values from an existing attribute of an existing LDAP entry on the LDAP server. The LDAP Delete Attribute Snap will completely remove the attribute itself whereas this Snap will just delete the specified values from the attribute.
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Prerequisites: | [None] | |||||||
Support and limitations: | Works in Ultra Tasks. | |||||||
Account: | This Snap uses account references created on the Accounts page of SnapLogic Manager to handle access to this endpoint. See LDAP Account for information on setting up this type of account. | |||||||
Views: |
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Settings | ||||||||
Label | Required. The name for the Snap. You can modify this to be more specific, especially if you have more than one of the same Snap in your pipeline. | |||||||
Distinguished name | Required. The distinguished name of the entry to be modified. Example:Â cn=syed,ou=People,dc=Snaplogic,dc=com Default value: [None] | |||||||
Pass through | Select to include the entire input data in the Snap's output. The Snap includes this data within the $original field in the output. Default value: Not selected | |||||||
Attribute value delimiter | Character or string to be used as delimiter to split the value of an attribute into multiple values. Example: Default value: [None] | |||||||
Attribute name | Required. The name of the attribute to have a value be deleted. Example: employeeType Default value: [None] | |||||||
Attribute value | Required. The value to be deleted from the attribute. Example:Â permanent,fulltime Default value: [None] | |||||||
Snap execution | Select one of the three modes in which the Snap executes. Available options are: Disabled: Disables the Snap and all Snaps that are downstream from it. |
Examples
Using the pass-through functionality
In certain scenarios, the Snap may be unable to process the entire input due to limitations imposed by the endpoint's API. In such cases, we recommend that you select the Pass through checkbox to ensure that the unprocessed input is not lost. You can process the remaining input data using more of the same Snap in the Pipeline. Alternatively, you can also write the original data into a separate file using a combination of the Mapper Snap and the File Writer Snap.Â
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