Browser rendering timeout: form took too long to load

Excessive client scripts executing during form load, particularly complex onLoad client scripts with heavy processing or synchronous server calls. (high likelihood)

Large number of fields on the form causing DOM rendering delays, especially forms with 100+ visible fields or complex field types like reference fields with large choice lists. (high likelihood)

Slow-performing UI policies or UI actions that execute complex server-side logic during form initialization. (medium likelihood)

Browser timeout settings configured too low in system properties, not allowing sufficient time for complex forms to render. (medium likelihood)

Database performance issues causing slow field population or reference field lookups during form loading. (low likelihood)

Step 1: Check the browser developer console for specific JavaScript errors or performance warnings that may indicate which scripts are causing delays.

Step 2: Navigate to System Definition > Client Scripts and review all onLoad client scripts for the affected table, looking for synchronous GlideAjax calls or complex processing loops.

Step 3: Examine the form layout by going to System Definition > Forms and checking the number of fields, sections, and related lists configured for the problematic form view.

Step 4: Review UI policies at System Definition > UI Policies for the table, focusing on policies that run on load and contain complex server-side scripts or multiple field operations.

Step 5: Check system properties for browser timeout settings by searching for 'glide.ui.security.allow_codetag' and 'glide.ui.form_rendering_timeout' in System Properties.

Step 6: Test form performance by temporarily deactivating suspected client scripts or UI policies to isolate the problematic component.

Step 7: Optimize identified issues by converting synchronous client script calls to asynchronous, reducing form complexity, or improving UI policy efficiency.

Step 8: Monitor system performance through System Diagnostics > Performance Analytics to identify any underlying database or system resource constraints.