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Issue in updating outdated dependents
janakik
over 7 years ago
We are facing an issue in updating the CDT references , a popup with below error comes up when i tried to click check outdated dependents , can some one explain about this error or how do i update the dependents without error.
Expression evaluation error : [valid:false,syntaxError:false,value:Expression evaluation error : An error occurred while executing a save: Expression evaluation error at function fn!objectReadAction_appian_internal [line 8]: Query failed [request=QueryRequest{from=null (id=-10), timeZone=null, query=Query[criteria[(relationships.uuid in .......
Thanks,
Ramesh
OriginalPostID-253281
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kondetiv
over 7 years ago
@janakik When a data type is deleted, it is retained in the system so that objects can continue to function correctly even if referenced data types are deleted. Deleted types, however, will no longer appear in the Appian Designer or as choices in type pickers.
Upon deleting a data type, references to that data type will have a version number appended in the form of a caret (^) + version number. For example: myCDT^1, myCDT^2.
Objects that use a deleted data type can be exported and on import, will attempt to reference the most recent version of the data type. If the most recent version of the data type is deleted, import of the dependent object will still succeed. If no data type exists on the destination environment, import of the dependent object will fail
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kondetiv
over 7 years ago
@janakik When a data type is deleted, it is retained in the system so that objects can continue to function correctly even if referenced data types are deleted. Deleted types, however, will no longer appear in the Appian Designer or as choices in type pickers.
Upon deleting a data type, references to that data type will have a version number appended in the form of a caret (^) + version number. For example: myCDT^1, myCDT^2.
Objects that use a deleted data type can be exported and on import, will attempt to reference the most recent version of the data type. If the most recent version of the data type is deleted, import of the dependent object will still succeed. If no data type exists on the destination environment, import of the dependent object will fail
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