# Desk log AIDB-MULTI-JOIN-20260822

**Status:** First-party sanitized composite/demo; not raw, customer, source, benchmark, or third-party data
**Page:** https://infinisynapse.com/en/blog/dashboard-from-multiple-databases
**Run ID:** `AIDB-MULTI-JOIN-20260822`
**Date:** 2026-08-22 (Saturday)
**Operator:** InfiniSynapse Data Team
**Attestor:** William Zhu, InfiniSynapse cofounder ([GitHub @allwefantasy](https://github.com/allwefantasy))
**Contact for contradictions:** zhuhl@infinisynapse.com

## What this file is

A downloadable record of waiting on an open warehouse ticket versus a two-source pack that left three charts and an inspectable SKU join. Companions: [aggregate CSV](https://infinisynapse.com/blog-media/dashboard-from-multiple-databases/downloads/aggregate-AIDB-MULTI-JOIN-20260822.csv) and [verify script](https://infinisynapse.com/blog-media/dashboard-from-multiple-databases/downloads/verify-AIDB-MULTI-JOIN-20260822.py). It is **not** a named-logo customer case, a vendor bake-off, or a MySQL / Redis / Gartner experiment.

## Six-step disclosure method

1. Name the meeting decision and the second source.
2. Connect two authorized sources (or a source plus a distinct file).
3. Open the join. Reject a hidden key.
4. Download the pack. Confirm a teammate can open it without the original chat.

## Source and goal

| Field | Value |
|---|---|
| Sources | Read-only Postgres replica + sanitized SKU notes file |
| Goal | Promised versus shipped plus the reason a SKU was flagged |
| Contrast | Wait for the mart vs one task, two sources |

## Results

| Retrieval state | Open mart tickets | Charts that answer the ask | Inspectable join |
|---|---|---|---|
| Wait for the mart | 1 | 0 | 0 |
| One task, two sources | 0 | 3 | 1 |

Wall-clock for the successful run: 23 minutes (warehouse time excluded).

No independent reproduction was known as of 2026-08-29. Independent replication should disclose engine, version, connector; schema snapshot and read-only access; join keys, cardinality, grain, null policy, time zones, and currency; goal and SQL constraints; generated queries, pushdown, and materialization; run IDs, status, errors, timestamps; plans, SQL, and artifact hashes; mart-wait baseline; source load, latency, and cost; all failures; review protocol; wall clock; and conflicts of interest.

## What you may cite

- Artifact counts 1/0/0 → 0/3/1, ~23 min wall-clock, run ID

## What you may not claim

- Customer speedup %, official EEAT score, named-logo case, or that MySQL / Redis / Gartner / WAIC scored this run

## External context (not validation of this run)

- [MySQL documentation](https://dev.mysql.com/doc/) (retrieved 2026-08-29)
- [Redis documentation](https://redis.io/docs/) (retrieved 2026-08-29)
- [NumPy documentation](https://numpy.org/doc/) (retrieved 2026-08-29)
- [PEP 249](https://www.python.org/dev/peps/pep-0249/) (retrieved 2026-08-29)
- [Stanford HAI AI Index](https://hai.stanford.edu/ai-index) (retrieved 2026-08-29)
- [Gartner Peer Insights — Analytics and BI Platforms](https://www.gartner.com/reviews/market/analytics-business-intelligence-platforms) (retrieved 2026-08-29)
- First-party homepage recognition only: [2026 WAIC Future Tech OPC Excellence Award](https://infinisynapse.com/#recognition)

## Validation boundary

No independent third-party, media, or customer reproduction was known as of 2026-08-29. The CSV is aggregate demo data, not raw or source data.