What can be inferred about the use of large CDTs in Appian if only one or two fields of data are needed?

In Appian, when working with large Complex Data Types (CDTs), using only one or two fields from such a data structure can lead to inefficient data handling. Using large CDTs for minimal data retrieval can increase processing overhead, as the system must allocate additional resources to manage, manipulate, and potentially transfer unnecessary data.

This can slow down application performance since larger objects may take longer to serialize, deserialize, and transmit, which can introduce latency. Therefore, opting to work with simplified or smaller data structures when only a few fields are required is often a better practice. It not only conserves resources but also contributes to a more efficient application by avoiding the added overhead of large data constructs.

Choosing to use large CDTs solely for a couple of fields can complicate data management and usage, making it an inefficient practice. Thus, avoiding unnecessary overhead is critical in optimizing performance and resource management within Appian applications.