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Salesforce Apex heap first triage response

A Salesforce first triage note for Apex heap: application runtime failure caused by exception, parser error, framework wiring, database adapter, automation trigger, or recursive call. It includes evidence, output examples, branches, and the smallest reliable fix.

mediumApex heap6 min read
First command
grep -R "Apex heap" ./logs
First evidence

Treat Apex heap as a first triage case. First collect evidence for the first observable mismatch before any setting is changed.

Search queries
Salesforce Apex heapSalesforce error Apex heapSalesforce Apex heap first triage response

When this happens

Use this when only the visible message is known. Do not stop at the screen message; validate the first observable mismatch before any setting is changed first.

Symptom checklist

  • Apex heap appears repeatedly in the Salesforce UI or logs.
  • profile, permission set, flow, trigger, owner state differs between successful and failed requests.
  • The issue appears only after separating data permission issue from Apex/Flow automation issue.
  • It often follows deploys, permission changes, configuration edits, or data refreshes.

Likely causes

  • Apex heap specifically changes the investigation surface for Salesforce: verify the exact failing object, route, user, and timestamp before applying the broader pattern.
  • The application handler throws before returning a valid response.
  • Framework wiring or dependency injection fails only in the deployed environment.
  • Database adapters or automation triggers wrap the real exception in a generic server error.
  • A recursive flow, trigger, or call stack exhausts runtime limits.
  • Logs contain the exact stack trace while the UI only shows a general failure.
  • For the first triage case, the first useful clue is the first observable mismatch before any setting is changed.

First 1-minute checks

  1. Write down the first failure time, latest change, affected user, path, and object ID.
  2. Compare profile, permission set, flow, trigger, owner state for success and failure in the same window.
  3. Test the hypothesis: application runtime failure caused by exception, parser error, framework wiring, database adapter, automation trigger, or recursive call.
  4. Classify this as first triage: the first observable mismatch before any setting is changed.
  5. Capture current values before changing configuration.

First evidence

Treat Apex heap as a first triage case. First collect evidence for the first observable mismatch before any setting is changed.

Output examples

Normal output

No matching error appears during the affected request window.

Failing output

The same error appears at the exact request time with the affected path, user, or object.

Output-to-action branches

  • Only the visible message is known.
    Collect timestamp, route, request ID, user, and the first backend log line before editing configuration.
  • The working and failing outputs differ.
    Act on the differing layer first: For Apex heap, apply the fix only after reproducing the same condition and saving the before/after evidence for this exact code.
  • Command output is normal but users still fail.
    Separate browser cache, cookies, permissions, and network location before declaring it fixed.

Do not do this

  • Do not change DNS, SSL, cache, and permissions at the same time.
  • Do not change multiple layers before identifying the failing layer.
  • Do not delete production data, grant broad permissions, or disable security controls as a first response.

Evidence quality

Auto-generated operator draft: includes issue-specific causes, commands, output branches, and unsafe-action warnings. Official-source links and real incident validation are queued for enrichment.

Commands to run first

grep -R "Apex heap" ./logs
sfdx force:user:display
sfdx force:apex:log:list
sfdx force:data:soql:query -q "SELECT Id FROM User LIMIT 1"
grep -R "Apex heap" force-app
grep -R "exception\|fatal\|stack\|500\|trigger" ./logs
tail -n 200 /var/log/app/error.log
printenv | sort
date -u && grep -R "ERROR\|WARN\|failed" ./logs | tail -n 50

Fix order

  1. Record the full Apex heap message, failing URL, user, object ID, and latest change.
  2. Collect issue-specific evidence for application runtime failure caused by exception, parser error, framework wiring, database adapter, automation trigger, or recursive call.
  3. Compare the failing case with a successful case before editing settings.
  4. If this is the first triage branch, Collect timestamp, route, request ID, user, and the first backend log line before editing configuration.
  5. Re-check with the same command and URL, then record the normal output.

Actions by cause

  • For Apex heap, apply the fix only after reproducing the same condition and saving the before/after evidence for this exact code.
  • Find the first stack trace for the same request ID and timestamp.
  • Reproduce with the same environment variables and dependency versions.
  • Disable or isolate automation triggers before changing data broadly.
  • Fix the smallest failing handler or dependency wiring first.
  • Add a regression request for the exact route or object that crashed.
  • For the first triage branch, Collect timestamp, route, request ID, user, and the first backend log line before editing configuration.

Verification metadata

  • operator-draft
  • official-reference-linked
  • 2026-07-23

Update queue

  • Review cadence
    weekly-source-review
  • Next enrichment
    Add one official-source check and one real output example for Salesforce Apex heap.

Environment-specific checks

  • Shared hosting, proxies, VPNs, or CDN layers can change data permission issue from Apex/Flow automation issue results.
  • Do not trust only the Salesforce UI; compare command output.
  • Japanese hosting panels may show completion before DNS or SSL fully propagates.
  • Test from both office and external networks.

Prevent it next time

  • Store normal examples for profile, permission set, flow, trigger, owner state.
  • Add owner activation, permission sets, validation rules, trigger order to the release checklist.
  • Keep recurring errors in the same note format.
  • Split alerts by error rate, latency, certificates, disk, and permission changes.