如何获取冲突文档ID列表并监控冲突数量下降以验证脚本？

Got it, let's tackle this problem for you. You're right that the _all_docs?include_docs=true&conflicts=true endpoint returns every document—even those without conflicts—which isn't ideal when you only need the ones with conflicts. Here are a few practical, efficient solutions to get just the conflicting document IDs, plus how to track their count as you resolve them:

1. Create a Custom View (Best for Long-Term Use) #

CouchDB's views let you pre-filter documents exactly how you need, making this the fastest and most reusable approach for ongoing conflict monitoring.

• First, create a design document (e.g., _design/conflict_tracker) with a view that only emits documents with conflicts:

  {
    "_id": "_design/conflict_tracker",
    "views": {
      "conflicting_docs": {
        "map": "function(doc) { if (doc._conflicts) { emit(null, doc._id); } }"
      }
    }
  }
  

  The logic here is straightforward: if a document has a _conflicts field (meaning it has unresolved conflicts), we emit its ID.

• Then query this view to get your list of conflicting document IDs:

  GET /your-db/_design/conflict_tracker/_view/conflicting_docs
  

  The response will only include entries for documents with conflicts, and you can easily count them or extract the IDs for further processing.

2. Use Mango Queries (CouchDB 2.0+) #

If you're running CouchDB 2.0 or later, Mango's _find endpoint lets you filter documents with a simple JSON query, no view required:

• Send a POST request to /_find with a selector that targets documents with the _conflicts field, and specify you only want the _id field returned:

  POST /your-db/_find
  {
    "selector": {
      "_conflicts": { "$exists": true }
    },
    "fields": ["_id"]
  }
  

  This will directly return only the IDs of documents with conflicts, perfect for quick checks or ad-hoc monitoring.

3. Client-Side Filtering (Temporary/Quick Fix) #

If you need a one-off solution without setting up views or Mango, you can filter the _all_docs results on the client side. Note: This is not recommended for large databases, as it requires downloading all document data.

For example, in JavaScript:

// Assume `response` is the JSON from your _all_docs request
const conflictingDocIds = response.rows
  .filter(row => row.doc && row.doc._conflicts)
  .map(row => row.id);

Monitoring Conflict Reduction #

To verify your conflict-resolving script is working, simply run one of the above queries at regular intervals (e.g., before running your script, after each run) and track the number of returned documents. A decreasing count means your script is successfully resolving conflicts. You can even automate this check in a script to log counts over time and visualize progress.

内容的提问来源于stack exchange，提问作者Trevor