mirror of
https://github.com/microsoft/BCQuality.git
synced 2026-08-06 17:36:53 +01:00
62dabf9a11
The /samples/ top-level tree is replaced with sibling files in each
knowledge-layer folder. An article and its demonstrations now live
side-by-side:
microsoft/knowledge/<domain>/<slug>.md
microsoft/knowledge/<domain>/<slug>.good.al
microsoft/knowledge/<domain>/<slug>.bad.al
Rationale:
- Proximity. An article and its paired samples are one unit; the
filesystem now reflects that.
- Layer ownership. Samples inherit layer precedence for free -- a
/custom/ fork can override an article and its samples atomically,
which the shared /samples/ tree previously made awkward.
- Trivial migration path. Action-skill source globs
(*/knowledge/<domain>/**/*.md) are unchanged; sample discovery is a
sibling-filename lookup.
Changes:
- git mv of all 65 sample files from samples/<domain>/<slug>/{bad,good}.al
to microsoft/knowledge/<domain>/<slug>.{bad,good}.al (history preserved).
- Update See-sample references in all 37 articles that ship samples.
- skills/read.md: replace the no-code-blocks bullet with a pointer to a
new Sample files section that fully specifies the sibling convention,
the kinds (good/bad + forward-compatible), multi-technology rules,
demonstration-only status, and layer-precedence behaviour.
- skills/write.md: update the samples pointer to match.
- README.md: annotate the knowledge tree with the sample sibling shape.
- samples/README.md deleted; content lifted into skills/read.md.
- Both generators (C:\temp\gen_performance_knowledge.py,
C:\temp\gen_security_knowledge.py) updated to emit at the new paths
and to stop writing samples/README.md. Re-running them is idempotent
against the committed layout.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
29 lines
1.5 KiB
Markdown
29 lines
1.5 KiB
Markdown
---
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bc-version: [26..28]
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domain: performance
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keywords: [calcsums, sift, sum, aggregate, totals]
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technologies: [al]
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countries: [w1]
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application-area: [all]
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---
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# Use CalcSums to aggregate filtered sets
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> **Seed article.** Converted from an existing performance-review prompt to bootstrap the BCQuality performance corpus. Domain stewards should expand, restructure, and refine as needed.
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## Description
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When the task is to compute a sum over a filtered set, CalcSums lets the platform push the aggregation down to SQL using SIFT indexes. Iterating rows in AL to accumulate a total transports every row's data to the runtime only to discard it after adding one field. On ledger-entry-scale tables this difference is dramatic. The same SIFT infrastructure backs Sum-style FlowFields; when the value you need is already declared as a FlowField, calling CalcSums on the underlying table with the correct filters produces the same aggregate.
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## Best Practice
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Set the required filters on the record, then call CalcSums on the field you want aggregated. Ensure the table has a key whose SumIndexFields includes the summed field and whose key prefix matches the filters (see add-sift-keys-for-flowfields).
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See sample: `use-calcsums-for-flowfield-totals.good.al`.
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## Anti Pattern
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Looping a filtered set with FindSet and adding a field to an accumulator on every iteration performs work in AL that SQL already knows how to do in one aggregate query.
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See sample: `use-calcsums-for-flowfield-totals.bad.al`.
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