bcquality/microsoft/knowledge/upgrade/datatransfer-skips-triggers-and-subscribers.md
Jesper Schulz-Wedde a9f3c50863 Regenerate microsoft/knowledge from upstream BCApps instructions
The previous LLM-generated knowledge files contained factual
hallucinations. The most visible was the claim that `FindFirst` /
`FindLast` "forces a full-table scan" on an unfiltered record - it does
not; those APIs return a single row via the current key.

Other inaccuracies the audit found and fixed:

* `FindSet(true)` was described as "taking a LockTable". The correct
  upstream phrasing is that `FindSet(true)` sets
  `ReadIsolation::UpdLock` on the read. UpdLock and LockTable are
  related but distinct mechanisms.
* The list of production-scale tables had been invented beyond the
  upstream source (e.g. "Detailed Cust. Ledg. Entry") without a
  citation. The regenerated list matches the ten tables upstream lists
  with their P95 row counts.
* `SetLoadFields` guidance had been augmented with an extra mechanism
  claim ("the database resolves the filter using the index without
  hydrating the value") not present in upstream.

Approach: full regeneration of `microsoft/knowledge/` from the six
upstream BCApps Code Review instruction files, with Microsoft Learn /
the AL language reference as a secondary source. Every claim in every
regenerated file is anchored to a verbatim upstream quote (or a Learn
URL); the audit trail lives in artifacts/trace-<domain>.json on the
session workspace.

The PR #11 transaction/error-handling cluster is preserved verbatim:

* performance/understand-implicit-transaction-boundary.md
* performance/codeunit-run-as-atomic-sub-operation.{md,good.al,bad.al}
* performance/codeunit-run-requires-prior-commit-inside-transaction.{md,good.al,bad.al}
* performance/use-tryfunction-for-error-catching-not-rollback.{md,good.al,bad.al}
* performance/avoid-commit-inside-loops.{md,good.al,bad.al}
* security/commitbehavior-attribute-scopes-explicit-commits.{md,good.al,bad.al}
* testing/transactionmodel-attribute-governs-test-transactions.{md,good.al,bad.al}

These articles already cite Microsoft Learn and were carefully
cross-referenced; the regeneration skips their topics rather than
duplicating them.

File counts after regeneration:

  performance   35 .md  (5 preserved + 30 new)
  privacy       17 .md
  security      18 .md  (1 preserved + 17 new)
  style         33 .md
  testing        1 .md  (preserved)
  ui            19 .md
  upgrade       18 .md

Total 141 atomic knowledge files, each strictly one rule. All pass
.github/scripts/validate_frontmatter.py with 0 errors and 0 warnings.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-05-21 09:53:09 +02:00

1.9 KiB

bc-version domain keywords technologies countries application-area
all
upgrade
datatransfer
validate-trigger
event-subscriber
side-effects
business-logic
al
w1
all

DataTransfer does not fire validation triggers or event subscribers

Description

DataTransfer writes directly at the database layer. It does not invoke field OnValidate triggers, table OnModify triggers, or any OnAfterModifyEvent / OnBeforeValidate... event subscribers that a normal Record.Modify(true) would. This is precisely what makes it fast — and precisely what makes it a footgun when the field being updated has validation logic that other code relies on. The receiving code never gets the signal that a row changed, derived fields stay stale, audit hooks do not run.

For new fields and tables added in the same change this is fine: nothing yet depends on the validation. For pre-existing fields with validation logic, DataTransfer quietly bypasses business logic that may be load-bearing for posting, calculation, or integration scenarios.

Best Practice

Use DataTransfer only when the field or table is new in the same change — initial population is the canonical safe case. When updating a pre-existing field that has validation logic, either use Modify(true) to honour the triggers, or, if DataTransfer is still required for performance reasons, leave a comment that explicitly states "validation triggers and event subscribers are intentionally not raised" and verify with the field's owner that this is safe.

See sample: datatransfer-skips-triggers-and-subscribers.good.al.

Anti Pattern

Reaching for DataTransfer to update an existing field with non-trivial OnValidate logic, without a comment and without confirming that subscribers can be skipped. The upgrade succeeds; runtime behaviour drifts silently.

See sample: datatransfer-skips-triggers-and-subscribers.bad.al.