What the documents look like
Marketplace advertising adjusts bids against traffic and conversion in near real time, so it does not wait on a platform campaign approval. The working papers for this task are the delivery plan, keyword report, audience package description, and conversion attribution table. Sources named in the brief include Juliang Qianchuan, JD Kuaiche, Alimama, and store transaction data, with updates that can occur daily or hourly. For operating reports and exception review, the database and operations layer decides whether a report can be recomputed from the same subject, the same period, and the same field.
The daily documents do not share one schema. A delivery plan records the account and campaign; a keyword report records spend and conversions; an audience package description carries a version; a conversion attribution table carries a status. A review that reads one document and infers the state of another will produce a conclusion the papers do not support.
Constraints at the database operations step
Business raw data and the vector retrieval backend have different responsibilities and are checked against the deployment actually in use. Connection and load behavior is observed against the deployment's own traffic: connection counts, errors, and latency are read from that deployment rather than copied from an untested concurrency threshold. Backup and restore are verified as two separate facts, backup generation and an actual restore, and both keep a checkable sample and record. After a database or service configuration change, the same business sample is rechecked; a running process does not show that the sample still recomputes. Retrieval is a data-fetching step and does not perform authorization checks, and a similarity setting does not exclude unrelated businesses or unauthorized records.
Hypothetical paper exercise sample: a paper record states that from 1 June 2025 to 30 June 2025, account A ran Juliang Qianchuan plan P1; the keyword report basis is spend and conversion count; the audience package description is version V3; the conversion attribution table status is pending verification. A draft sentence under review reads: "Account A completed conversion attribution verification in June and can settle on that basis." The material shows the period and the pending status. It does not show a completed verification, so the draft sentence is not supported.
Configuration and implementation checks
The table below concerns the sample above and lists documented settings or implementation checks relevant to this page's task. Where a number appears, it is a hypothetical starting point for this exercise, with the reason for choosing it and the comparison target. It is not an official default.
| Item | Hypothetical starting point | Check method and reason |
|---|---|---|
| MONGODB_URI | Paper entry: main business database connection string | Check whether account A, the period, and the field can be recomputed from this database |
| MONGODBLOGURI | Paper entry: log database connection string | When the log database is absent, record the gap; do not infer that attribution was completed |
| DBMAXLINK | Paper entry: 10 | The document states automatic limitation to 10–1000; compare with the deployment's own peak connection count |
| SYNC_INDEX | Paper entry: true | The document states missing indexes are created at startup; after a change, recheck the same business sample |
| STREAMRESUMETTL_SECONDS | Paper entry: 300 | The document describes this as the in-generation TTL; compare with the actual retention time of the resume mirror |
| LOGENABLEOTEL | Paper entry: false | The document gives false as the default; when not enabled, record that the observation scope is limited |
Three common errors
- Treating a pending status as a completed verification. The input is the sample line "conversion attribution table status is pending verification"; the comparison is the draft sentence "completed conversion attribution verification"; when the material holds no completion record, the draft sentence is not supported.
- Treating a similarity setting as a permission or entity filter. The input is a relevance score returned by retrieval; the comparison is account A's authorization scope; the observed result is that a high or low score does not change whether an unauthorized record is visible, and authorization requires a separate system implementation.
- Treating a running process as a passed post-change recheck. The input is the service process running state; the comparison is the report values for the same business sample; the observed result is that a running process does not show the sample recomputes, and the same fields must be compared.
How to verify the setup
- Input the sample text "account A, 1 June 2025 to 30 June 2025, plan P1, status pending verification"; compare the draft sentence "completed conversion attribution verification"; the condition is met only when material appears with the same subject, same period, and same field showing completion; otherwise record the draft as not supported.
- Input a paper empty result []; compare whether the downstream report design gives an explicit handling statement for the empty result; the condition is met only when the design contains explicit empty-value handling. Do not claim that a fictional rule retrieval necessarily returns [].
- Input the library identifiers of two different vector models; compare whether their model identifiers match; when the identifiers do not match, exclude joint association and record the actual observation. Do not run a cross-model retrieval to compare missed recalls.
A pending review does not show an absence of operating permission, and a quotation validity period does not indicate a supply period. Authorization or effectiveness terms not stated in the material remain missing, and retrieval and forms do not constitute authorization execution.