Home/Salesforce/Page 10
Salesforce
Share
Lost your password? Please enter your email address. You will receive a link and will create a new password via email.
Please briefly explain why you feel this question should be reported.
Please briefly explain why you feel this answer should be reported.
Please briefly explain why you feel this user should be reported.
Why do SOQL queries become harder to optimize over time?
SOQL performance depends heavily on data distribution, not just indexing. As datasets grow, even indexed fields may become less selective, especially when values are skewed. Queries that rely on optional filters or OR conditions are particularly vulnerable. Another factor is query evolution. Over tiRead more
SOQL performance depends heavily on data distribution, not just indexing. As datasets grow, even indexed fields may become less selective, especially when values are skewed. Queries that rely on optional filters or OR conditions are particularly vulnerable.
See lessAnother factor is query evolution. Over time, new conditions are added to satisfy business logic, often without reevaluating selectivity or execution plans. This gradually degrades performance.
Long-term optimization often requires revisiting data models, using skinny tables where appropriate, or redesigning how data is queried rather than tweaking individual queries.
Takeaway: SOQL optimization is an ongoing process that must evolve with data growth.
How does Salesforce solution design change when moving from single-client projects to reusable products?
Product-focused design requires thinking about configurability, upgrades, and security reviews. Architects must clearly separate what belongs in packages versus customer configuration. Every decision is amplified across multiple orgs and use cases. These trade-offs are commonly explored when developRead more
Product-focused design requires thinking about configurability, upgrades, and security reviews.
See lessArchitects must clearly separate what belongs in packages versus customer configuration.
Every decision is amplified across multiple orgs and use cases.
These trade-offs are commonly explored when developing a multi-tenant mindset through real product experiences.
Why do Salesforce Flows behave differently for admins and standard users?
This difference is usually caused by user context and permissions. Even though Flows can run in system context, they still respect field-level security and sometimes record-level access, especially in screen Flows. Admins typically have full access, which hides these issues during testing. Another fRead more
This difference is usually caused by user context and permissions. Even though Flows can run in system context, they still respect field-level security and sometimes record-level access, especially in screen Flows. Admins typically have full access, which hides these issues during testing.
See lessAnother factor is that referenced records or lookup relationships may not be visible to standard users. When a Flow tries to read or update something the user can’t access, the logic may silently skip or fail without a clear error.
The safest approach is to test Flows using real user profiles and explicitly configure run context.
Takeaway: Always test Flows with the same permissions your end users have.
Why do Salesforce Flows break after deployments?
References may break due to missing fields or permissions. Deployments don’t validate runtime behavior. Post-deploy checks matter.Takeaway: Deployment success isn’t runtime success.
References may break due to missing fields or permissions.
See lessDeployments don’t validate runtime behavior.
Post-deploy checks matter.
Takeaway: Deployment success isn’t runtime success.
Why do Salesforce tests pass but logic fails in production?
Tests don’t always mirror real data or permissions. Edge cases go untested. Production reveals gaps. Better test realism helps.Takeaway: Passing tests don’t guarantee correctness.
Tests don’t always mirror real data or permissions. Edge cases go untested.
Production reveals gaps.
Better test realism helps.
See lessTakeaway: Passing tests don’t guarantee correctness.
Why do Lightning Web Components feel slower as data volume increases?
The slowdown usually comes from server-side data handling rather than the UI itself. Large SOQL queries, excessive serialization, and returning unnecessary fields all increase response time. On the client side, rendering large data structures or repeatedly re-rendering components also adds overhead.Read more
The slowdown usually comes from server-side data handling rather than the UI itself. Large SOQL queries, excessive serialization, and returning unnecessary fields all increase response time. On the client side, rendering large data structures or repeatedly re-rendering components also adds overhead.
Most teams solve this by limiting queried fields, adding pagination, caching results, and ensuring Apex methods are purpose-built for UI consumption.
See lessTakeaway: LWC performance issues usually start in Apex, not JavaScript.
Why does Apex code hit governor limits even after basic bulkification?
Bulkification solves only the most obvious limit issues. Once data volumes grow, limits are often hit due to large heap usage, expensive logic inside loops, trigger recursion, or automation chains triggered by DML. Even a single bulk-safe update can cascade into multiple Flows, triggers, and processRead more
Bulkification solves only the most obvious limit issues. Once data volumes grow, limits are often hit due to large heap usage, expensive logic inside loops, trigger recursion, or automation chains triggered by DML. Even a single bulk-safe update can cascade into multiple Flows, triggers, and processes.
The usual fix is to reduce the total work done per transaction—filter records aggressively, avoid unnecessary field queries, and break work into asynchronous jobs when possible.
See lessTakeaway: Governor limits are about total work, not just where SOQL and DML are placed.
Why do Salesforce Flows become hard to maintain as automation grows?
Flows become hard to maintain because they scale visually, not structurally. Each new requirement adds branches, decisions, and record updates, but there’s no strong modularity like you’d have in Apex. Over time, logic that should be reusable or isolated ends up duplicated across paths, making changRead more
Flows become hard to maintain because they scale visually, not structurally. Each new requirement adds branches, decisions, and record updates, but there’s no strong modularity like you’d have in Apex. Over time, logic that should be reusable or isolated ends up duplicated across paths, making changes risky.
Teams usually handle this by splitting responsibilities: keeping Flows focused on orchestration and moving complex logic into Apex, subflows, or reusable components. Clear naming, documentation, and strict ownership rules also help slow down entropy.
Takeaway: Flows work best when they stay simple and delegate complexity elsewhere.
See lessWhy does my LWC show “Cannot read properties of undefined” when loading data?
The JavaScript tries to access data before the wire or API response is available. Problem Explanation LWCs render before async data arrives. Accessing nested fields without checks causes runtime errors. Root Cause(s) 1. Missing null checks 2. Incorrect API response shape 3. Wire method not returningRead more
The JavaScript tries to access data before the wire or API response is available.
Problem Explanation
LWCs render before async data arrives. Accessing nested fields without checks causes runtime errors.
Root Cause(s)
1. Missing null checks
2. Incorrect API response shape
3. Wire method not returning expected fields
Step-by-Step Solution
1. Use optional chaining (
?.)2. Guard rendering with
if:true3. Log the response structure in
wiredResultget accountName() {
return this.accountData?.Name;
}
Edge Cases & Variations
1. Imperative Apex calls need manual loading states
2. Cacheable Apex may return stale data
Common Mistakes to Avoid
1. Assuming data exists on first render
See less2. Accessing nested objects blindly
Why does my Salesforce dashboard show different data for different users?
The dashboard runs under a specific running user context. Problem Explanation Dashboards respect the running user’s permissions and sharing, unless set to dynamic. Root Cause(s) 1. Dashboard running user mismatch 2. Private sharing model 3. Field-level security differences Step-by-Step Solution 1. ERead more
The dashboard runs under a specific running user context.
Problem Explanation
Dashboards respect the running user’s permissions and sharing, unless set to dynamic.
Root Cause(s)
1. Dashboard running user mismatch
2. Private sharing model
3. Field-level security differences
Step-by-Step Solution
1. Edit dashboard properties
2. Set running user to “Dynamic”
3. Verify user permissions
Edge Cases & Variations
1. Scheduled refresh uses running user
See less2. Joined reports behave inconsistently