An app builder has deployed a change set from a sandbox to production. There is a long delay in the deployment. What can be causing the delay?

Changing a custom field's data type can cause significant deployment delays, especially in a production environment with a large volume of data. When a field type is changed, Salesforce may need to scan and update every record for that object to convert the existing data to the new format. This data-intensive operation is processed in the background and can take a considerable amount of time, leading to a long deployment queue and the observed delay. This is distinct from purely metadata changes, which are typically much faster.

A. Profiles are included in the change set: While deploying profiles can add complexity, it is a metadata operation and does not typically cause the same level of delay as a data-intensive process.

C. Dependent fields are included in the change set: Deploying components with dependencies is a standard procedure; the system resolves these dependencies, which does not inherently cause a long delay.

D. Roles are included in the change set: Deploying roles can trigger sharing rule recalculations, which can take time, but it is generally less time-consuming than a field type change on a large object.

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1. Salesforce Help Documentation: Considerations for Changing Custom Field Types. This document explicitly states, "Changing the data type of an existing custom field can take a long time, depending on the number of records it affects... While your request is being processed, the custom field and the records that use it are temporarily locked to prevent them from being updated." This directly supports that a field type change is a known cause for long-running operations.

2. Salesforce Help Documentation: Monitor Deployments. This guide notes that deployments can be delayed or take a long time to complete. It mentions, "Some deployments take longer than others, depending on the number of components and their types." Field type changes are a prime example of a component type that can significantly extend deployment time due to underlying data processing.

3. Salesforce Metadata API Developer Guide: CustomField. The documentation for the CustomField metadata type details the properties of a field, including its type. While it doesn't explicitly state deployment times, it underlies the mechanism by which change sets operate. A change to the type element triggers the backend data conversion process described in the Salesforce Help documentation, which is the root cause of the delay.