bcquality/microsoft/knowledge/performance/combine-multiple-modifyall-calls.md
Jesper Schulz-Wedde e570d6113f Extract 55 knowledge articles from BC review-agent prompt
Adds 55 articles (plus 76 code samples) spanning four new domains and
two existing domains, extracted from the internal Business Central
review-agent prompt. Content was filtered against BCQuality's
remedial-knowledge premise: each article encodes BC-specific behaviour,
a CodeCop rule, a platform API semantic, or an anti-false-positive
guideline that a capable LLM would otherwise get wrong.

New domains:
- privacy (11 articles): DataClassification inheritance semantics, the
  StrSubstNo-defeats-Error-telemetry-classification pitfall, Privacy
  Notice consent for outgoing requests, anti-false-positives for pages
  and in-memory data.
- upgrade (11 articles): upgrade-codeunit structure, upgrade-tag
  lifecycle and registration, protected DB reads, DataTransfer for
  large datasets, InitValue semantics, enum-ordinal preservation,
  obsolete-workflow, first-install detection.
- ui (9 articles): caption capitalization by phrase type, tooltip voice,
  teaching-tip vs tooltip, tour-tip conventions, character limits,
  banned terms, ampersand handling, title punctuation.
- style (11 articles): label-suffix convention, API page naming,
  temporary-variable prefix, label properties (Comment/Locked), named
  invocations, FieldCaption in user messages, OptionCaption pairing,
  Error-parameter passing, `this` keyword, required parentheses, file
  naming.

Gaps in existing domains:
- performance (11 articles): production-scale table catalog (no row
  counts, per internal-data concern), anti-false-positive for bounded
  tables, guard-before-Get ordering, redundant-Get-in-OnAfterGetRecord,
  LockTable in read-only helpers, combined ModifyAll passes, writes in
  OnAfterGetRecord, SetLoadFields heuristics, temporary-table
  regressions, FlowField source-table widening, MaintainSQLIndex
  disabling SIFT.
- security (2 articles): environment-specific hardcoded GUIDs,
  ValidateTableRelation=false on user input.

Intentionally excluded: specific production P95 row-count numbers
(aggregated internal telemetry); rewritten as categorical guidance on
which tables to treat as production-scale without publishing sizes.

All articles use `bc-version: [all]` (applies to every BC version, per
the new schema sentinel). Validator passes with 0 errors / 0 warnings.
2026-04-23 16:43:42 +02:00

26 lines
1.7 KiB
Markdown

---
bc-version: [all]
domain: performance
keywords: [modifyall, bulk-update, filter, scan, recordset]
technologies: [al]
countries: [w1]
application-area: [all]
---
# Combine multiple ModifyAll calls on the same recordset into a single pass
## Description
`ModifyAll(Field, Value)` issues a SQL UPDATE against every row matching the record variable's current filters, setting one field. Calling it twice on the same filtered recordset — once per field to update — produces two separate UPDATE statements, each of which has to re-locate the matching rows through the index. On a ledger-entry-scale table with ten million rows and a filter that matches a thousand, the overhead is not a doubling of the update cost but a doubling of the more expensive row-location cost. A single `FindSet(true)` + set-by-set assignment + `Modify(false)` completes both field changes in one pass.
## Best Practice
When more than one field needs to change on the same filtered recordset, iterate once with `FindSet(true)` and assign all fields per row. Reserve ModifyAll for the case where a single field change covers the whole update. If the filter set is truly huge and the trigger behaviour differs between fields, consider splitting with concrete evidence — otherwise the single-pass loop wins.
See sample: `combine-multiple-modifyall-calls.good.al`.
## Anti Pattern
Applying `SetRange` against `CustLedgerEntry` on `"Document No."` and then calling `ModifyAll("Accepted Payment Tolerance", ...)` followed by `ModifyAll("Accepted Pmt. Disc. Tolerance", false)` — two scans over the same filtered rows. On Cust. Ledger Entry with production-scale data the redundant second scan is the dominant cost.
See sample: `combine-multiple-modifyall-calls.bad.al`.