pipekit/docs/cms_migration.md
Paul Trowbridge 38e490aaaf Add CMS→pipekit migration plan doc
Scope, decisions (dest schema cms.*, fresh DB2 introspection, one table
per cutover), module recipe, and the remaining backlog.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-05 15:48:45 -04:00

215 lines
12 KiB
Markdown
Raw Permalink Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

# CMS (DB2) → pipekit migration
Scope and plan for moving the remaining CMS/DB2 table syncs from the legacy
`/opt/sync` (jrunner + shell + cron) tool onto pipekit modules.
## Decisions
- **Destination schema: `cms.*`.** All migrated CMS tables land in `cms.<table>`
(pipekit convention), *not* the legacy `lgdat.*`. Downstream `rlarp.*` views that
currently read `lgdat.*` must be repointed to `cms.*` as each table is cut over.
- **Sync tables as they reside on DB2.** Column set and types come from *fresh
introspection of the DB2 source* (`QSYS2.SYSCOLUMNS`), not from the legacy
`pull.sql` / `build.sql`. Legacy queries are not ported; we regenerate clean.
- **One table at a time on cutover.** Generate/verify the module, repoint the
downstream view, then retire the `/opt/sync` module.
## Current state
- pipekit already covers **39 CMS tables** (`source_connection: S78030956`,
`FROM LGDAT.*`, landing in `cms.*`).
- `/opt/sync/s7830956/` (92 module dirs) holds the legacy CMS syncs. 24 overlap
the 39; the rest is the migration backlog below.
## The module recipe (pipekit)
A module is two sidecar files under `config/modules/`, named for the module:
- **`<name>.json`** — definition. Required fields: `name`, `source_connection`,
`dest_connection`, `dest_table` (schema-qualified), `staging_table`
(`pipekit_staging.<name>`), `merge_strategy` (`full` | `incremental` | `append`),
`merge_key` (required for incremental, else `null`), `enabled`, `columns[]`,
`watermarks[]`, `hooks[]`. `dest_description` optional.
- `columns[]` entries: `source_name`, `source_type`, `dest_name`, `dest_type`,
`description`.
- **`<name>.sql`** — the extract `SELECT`, run on the **source** connection in its
dialect. DB2: `RTRIM(col)` on char cols, `CASE WHEN col IN (DATE('0001-01-01'),
DATE('9999-12-31')) THEN NULL ELSE col END` on dates, `"DOUBLE#QUOTES"` for
`#`-bearing identifiers. Watermarks are `{name}` placeholders substituted at run.
Group assignment + cron live in `config/groups.json` (add `{"module","run_order"}`
to a group's `members`). Source connections in `config/connections.json`
(`S78030956` = DB2/AS400). `pipekit apply` hydrates `pipekit.db` from these files.
Merge semantics: staging recreated `LIKE dest` each run, then `full` = TRUNCATE +
INSERT; `incremental` = DELETE by `merge_key` + INSERT; `append` = INSERT only.
## Introspection method (how drafts are generated)
pipekit exposes introspection two ways:
- HTTP API `GET /api/introspect/columns` (`:8200`, Basic Auth).
- Driver layer `pipekit.drivers.db2.DB2Driver.get_columns()` — same code, in-process,
needs only `DB2PW` from `/etc/pipekit/secrets.env`.
Drafts use the driver layer, reusing pipekit's own `_TYPE_MAP`, `default_expression`
(RTRIM / date-sentinel), and `quote_identifier` (`#` handling) — so output matches
pipekit style exactly, including real column/table descriptions from the DB2 catalog.
Type mapping: `CHAR/VARCHAR/GRAPHIC/CLOB → text`, `DECIMAL/NUMERIC(p,s)` preserved,
`DATE → date`, `TIME → time`, `TIMESTAMP → text` (pipekit convention), `FLOAT →
double precision`, `BIGINT/INTEGER/SMALLINT` preserved.
Reproduce: `drafts/bucket1/_generate.py` (reads DB2 read-only, writes `.json`/`.sql`).
## Bucket 1 — full truncate-reload (~41 tables) — DRAFTED
No watermark; legacy `insert.sql` was delete-all + reinsert. Simplest module:
`merge_strategy: "full"`, `merge_key: null`.
**Status: drafted, not activated.** Files in `/opt/pipekit/drafts/bucket1/`
(41 `.json` + 41 `.sql`). Nothing wired to a group; `pipekit apply` not run.
Tables (source library in parens where not LGDAT):
adrs, cret, depts, fresre, resre, ftcstm, ftcstp, ftcstr, glie, icstm, icstp, icstr,
iprca, iprcb, iprcc, iprcctn, iprccto, irea, macgrp, majg, methdm, methdo, methdr,
mmgp, mmsl, opcode, plnt, punit, sach, sscc, stka, stkmm, stkmp, usrd, vend,
color / colorb / colortier / iprcbhc (`"CMS.CUSLG"`), usrcust (`LGPGM`),
ffpdglr1 (`FANALDEV`).
**Activation (per table, when ready):**
1. Review the drafted `.json`/`.sql`.
2. `mv drafts/bucket1/<name>.{json,sql} config/modules/`.
3. Add `{"module":"<name>","run_order":N}` to the right group in `groups.json`.
4. `pipekit apply`, then `pipekit run <name>` to smoke-test.
5. Repoint any `rlarp.*` view from `lgdat.<name>` to `cms.<name>`.
**Post-load hooks needed** (legacy refreshed a mat-view; add a `hooks[]` entry once
the downstream view is repointed to `cms.*`): `icstr``rlarp.icstx`,
`ftcstr``rlarp.ftcstx`, `ffpdglr1``rlarp.pdglr1`, `stkmp``CALL
rlarp.itemm_ps_build()`.
## Bucket 2 — watermarked incremental (6 tables) — TODO
Need `merge_key` + a watermark resolver query (`SELECT MAX(...)` on the dest,
substituted into `{wm}` in the `.sql`). Templates: `config/modules/ocrs.json`,
`gtran.json`.
| Table | merge_key | watermark |
|---------|----------------------|-----------|
| qcrh | `dcord#` | order # high-water |
| qcri | `ddord#` | order # |
| qtnote | `ggkey` | key |
| methh | `anpart`+`anplnt` (EXISTS merge) | `andate` |
| iprcct | date | `tadate` |
| icstt | date | `jhdate` |
Each has a `*_full` unbounded counterpart in `/opt/sync` that can be dropped.
**Price-list change log (`iprcct` / `iprcctn` / `iprccto`) — DONE 2026-08-05.**
Append-only log, ~6.46.9M rows each, ~100 rows/day. All three: watermark
`MAX(<date>) - 7` on the dest (guarded `<= current_date`), source
`WHERE <date> BETWEEN '{wm}' AND DATE('9998-12-31')`, `incremental` merge keyed on
the date alone — the staged set is every row on/after the watermark, so
delete-by-date replaces whole day partitions and re-running is a no-op. The
`9998-12-31` upper bound matters: the source transform NULLs the `9999-12-31`
sentinel, and a NULL merge key never matches the DELETE, so such a row would
duplicate on every run. Grain is `(plcd, part, unit, date, time)` for the header
and the same plus `voll` for the detail tables. All three reconcile exactly to
source counts. Members of group 14 (Price Lists), scheduled `0 3 * * *` — local
time, after Sales Matrix at 02:20. The group is ~3.5 min, nearly all of it `iprcc`
(908k rows, full reload); the three change-log modules are seconds each.
**Quote family (`qcrh` / `qcri` / `qtnote`) — DONE 2026-08-05.** The order-number
watermark sketched in the table above is wrong and was replaced: quotes are edited
long after creation (of 644 headers updated in a 30-day sample, 25 were below
`MAX(dcord#) - 1000`), so an order-number window silently drops edits. QCRH shares
OCRH's `DC*` layout, so all three now use the ocrh/ocri pattern — watermark
`MAX(dcudat) - 7` on `cms.qcrh` (guarded `<= current_date`) for **all three**
modules, header WHERE unioning `dcudat` / `dcodat` / `dccdat`, details joined to a
`changed` CTE over `lgdat.qcrh`. The union is load-bearing: 36,339 rows have
`dccdat` after `dcudat`, 270 have `dcodat` bumped without `dcudat`. Because the
detail watermarks resolve off the *header* table, run order within group 16 must
stay header-first and the lookback must exceed the sync interval.
- `qcri` (492k rows, grain `ddord#+dditm#+dddes#`) keys on `ddord#`. Verified the
changed-set catches line activity: all 5,807 lines created in a 30-day window
(`DDCTMS`) belong to a header whose dates moved, 0 orphans. `DDCTMS` is a
*creation* timestamp, not last-changed — unusable as a watermark.
- `qtnote` (253k rows) has **no change signal of its own** — no dates, no
timestamp. `GGKEY` is `9-digit quote number` (header note) or `+ 3-digit item`
(line note); all 50,876 note keys resolve to QCRH, only 6 also exist in OCRH, so
it is purely quote notes. Keying on `ggkey` would leave a cleared note stranded
in the dest forever, so a derived tail column `cms.qtnote.ggord` =
`SUBSTR(ggkey,1,9)` was added (and backfilled) and is the merge key — delete now
replaces *all* notes for a changed quote. Join is string-on-string via
`DIGITS(dcord#)`, deliberately avoiding a numeric CAST: one junk key (19 spaces +
`.`) would raise SQL0420 on cast, and staying textual leaves it harmlessly
excluded (it survives in the dest with `ggord IS NULL`, so dest count ties to
source exactly at 252,721).
One-time rebaseline was required: a quote-level line-count diff found 273 quotes
disagreeing with source (in *both* directions, back to 2023) plus 22 missing
entirely — accumulated debt from the old order-number window. Rebaselined by
temporarily pointing each resolver at `DATE '1900-01-01'` and running, then
restoring; a wide date window provably covers all 82,224 headers, and delete-by-key
avoids the ACCESS EXCLUSIVE lock a `full` TRUNCATE would take on tables the 15-min
Quote Review group reads. All three now tie exactly to source. Group 16 (Quotes) is
scheduled `*/15 * * * *` (~20 s per pass) with explicit `run_order` 1/2/3 — members
sort `run_order, name`, so header-first was previously only an alphabetical
accident, and both detail modules read their changed-set from `cms.qcrh`.
Residual risk to watch on `qtnote`: it inherits change detection entirely from the
header, so a note edited without the quote header's dates moving is invisible. Worth
a periodic wide-window rebaseline (the same widen/run/restore steps) or a
`reconcile.py` check.
**`icstt` (Cost History, module 129) — reviewed 2026-08-05; KNOWN DRIFT ACCEPTED.**
3.77M rows, watermark now `MAX(jhdate) - 7` guarded `<= current_date` (the guard
matters — source holds 2 future-dated rows out to 2031). Scheduled `30 3 * * *`
local as the sole member of group 13; before this it ran only when clicked.
Two defects found, one fixed, one deliberately left:
1. *Fixed:* the resolver had no lookback, so anything back-dated below the
high-water was invisible forever.
2. *Accepted:* **the source is purged at row level**, and a date-keyed incremental
structurally cannot see it — delete-by-`jhdate` only touches dates in the staged
set, and old dates never enter it, so every upstream deletion strands a dest row
permanently. Currently +2,241 rows across 149 dates from 2010 onward (0.06% of
the table). Verified by key-level diff on one date: 20 dest-only keys, 0
source-only, i.e. dest ⊇ source. This grows over time and silently inflates
historical cost aggregates. Only a wide-window pass removes them.
Also 5 source rows dated 19531966 (1 row each, data-entry junk) have never synced
and are **intentionally not synced** — a 7-day lookback starts ~2026-07-29 and never
reaches them.
Consequence for monitoring: a bare `reconcile.py icstt` will always report DIVERGED.
Use the floor filter so the comparison is apples-to-apples — dates then tie exactly
(5,156 = 5,156) and the only mismatch is the purge overage:
```
PIPEKIT_SECRETS=/etc/pipekit/secrets.env .venv/bin/python reconcile.py icstt \
--super-quick --source-from "(SELECT * FROM LGDAT.ICSTT WHERE JHDATE >= DATE('2000-01-01')) t"
```
To rebaseline when there's a ~45 min window (est. from a 417k-row run at 5m06s):
point watermark 32 at `SELECT DATE '2000-01-01'` (that floor stages all 5,156 real
dates and clears the orphans while still skipping the 195366 junk), `pipekit run
icstt`, restore the `MAX(jhdate) - 7` resolver, then re-run the check above — it
should read `IN SYNC`. Delete-by-date, so no `TRUNCATE` and no ACCESS EXCLUSIVE lock.
## Bucket 3 — special cases — decide, don't port as-is
- **Reverse pushes PG→DB2** (`osmfs`, `reprice`, `reprice_test`): go Postgres→AS400,
opposite of pipekit's source→PG model. Leave in `/opt/sync` or redesign separately.
- **Stored-proc modules** (`sb_ud_r2`, `sb_gj_r1`, `osm_sync`): `CALL` procs, not table
extracts. Convert as hooks or leave out.
- **Derived RLARP reads** (`family`, `ffterr`, `qrh`, `ctqpor`): read derived AS400
`rlarp.*` tables, not raw CMS masters. Confirm the upstream proc still runs first.
## Sequencing recommendation
Prioritize by what the marts consume: the cost/pricing cluster (`icst*`, `iprc*`,
`ftcst*`, `punit`) and vendor/plant/method dims are highest value. Explicitly defer
or retire the reverse pushes and derived reads rather than porting them.