Delete Relational Data (Individual or Small Batch)

The Delete Relational Data command allows you to remove Contact data from a Relational Data table.  It requires the following arguments:  Command and Data. 


Within the data argument, contact data fields are required to identify the Contact to associate the Relational Data.  To identify the Contact, Email and First Name must be defined, or Customer Key in a customer key enabled Realm.

The command is ‘relationaldelete' and data will be removed from the table named 'myTable' field named 'myNumber' for the contact record with the email '' and first name 'John' and 'uniqueID' of '1232'.

Delete cannot be undone.  Once the command is run, the data is permanently removed.

NOTE: Only include commands related to Relational Data management in the batch process file. Separate other commands, such as Subscribe and Launch. 


In order to manage Relational Data, the FTP API file Header must include the following arguments: Relational set to true (1) and Allow Duplicates set to false (0). 

Using all commands and arguments (please note the command is wrapped for display purposes only):



In the example above, the header indicates that the batch process is for Relational Data.  The command deletes Relational Data for the fields named id, category, interest_type in the table interests for a single contact.

Multiple Contacts

To delete Relational Data for multiple contacts with a single command, separate each contact record using the carat (^) character.  Each contact must include the same data fields defined in the command.  For example, the command below deletes Relational Data for the fields named petid, name, species, and age in the table named 'pets' for three separate contacts.  


Customer Key

Some systems have the ability to define a unique Customer Key per contact.  If your Realm has Customer Key enabled, then you must include the customer_key in the data argument along email.  For example:


If the Customer Key is not included, the command will fail.



The Relational Data FTP API delivers two emails to the Confirmation Email address(es) defined in the Header.  The messages are generated when the Data (.dat) file is picked up, and then again when the process is complete.  The messages include the Realm ID, name of data file, number of rows in the file, added or updated, and the number of errors.


A Delete Relational Data command will fail if a contact record for the Email plus First Name does not exist, table or data fields do not exist, or do not allow data delete.  Failures will result in an email message sent to the Confirmation Email defined in the header.  The message contains information related to the failure. 

Find more details about errors in the TASKS > TASK HISTORY page.


The Delete Relational Data command supports the following arguments:

Name Req? Description Argument
Header Relational Yes When working with Relational Tables, the Relational flag must be set.  By default, Relational is not enabled. relational=[0,1] DEFAULT==0
Header Allow Duplicates Yes Relational Data tables do not support the allow duplicates flag, so it must either be set to off (0), or not included in the Header.  See Conventions for more information.  allow_duplicates=[0,1] DEFAULT==0
Header Clear Data   To remove all data in a table before importing new data, set Clear Data to 1.  A table must be created allowing the use of Clear Data, otherwise the flag is ignored.  See Data Management Options for more information. clear_data=[0,1] DEFAULT==0
Command Yes Defines the command to use. cmd=relationaldelete
Realm   Name of the realm to run the command.  The realm is required in the Header, but optional in the command line to manipulate data for a child realm. realm=[realm_name]
Data Yes Contact and Table related data. To identify the Contact to which the data is related, the Contact Email and First Name are always required or Customer Key for Realms in which Customer Key is enabled. Relational Table Unique ID is required, and additional fields are optional.  The Relational Data fields must be identified using the table name and the field name in the format:   tableName.fieldname data=[email,first,tableName.fieldname(s)] data=[customer_key,tableName.fieldname(s)]


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