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Database / CouchDB Interview Questions

What is the _all_docs endpoint in CouchDB and how does it differ from a custom view?

The _all_docs endpoint is a built-in view that CouchDB automatically maintains for every database. It returns all non-deleted documents sorted by their _id (ascending by default). Internally it is backed by the same document B-tree that stores the documents themselves, so it is always up to date with zero additional index maintenance cost.

# Retrieve all documents (just metadata by default)
curl "http://admin:pass@localhost:5984/mydb/_all_docs?limit=10"

# Include full document bodies
curl "http://admin:pass@localhost:5984/mydb/_all_docs?include_docs=true&limit=10"

# Range query by _id prefix (using the collation order of strings)
curl "http://admin:pass@localhost:5984/mydb/_all_docs?startkey=%22order:%22&endkey=%22order:￿%22&include_docs=true"

# Fetch specific documents by ID (bulk read equivalent to GET on each)
curl -X POST http://admin:pass@localhost:5984/mydb/_all_docs?include_docs=true \
  -H "Content-Type: application/json" \
  -d '{"keys":["order:001","order:002","user:42"]}'

Differences from a custom view:

  • _all_docs is always current — no lazy build delay on first access.
  • It is keyed only by _id. You cannot query by any other field — for that you need a view or Mango index.
  • A custom view can emit any key (category, date, compound key) and can aggregate values via reduce. _all_docs cannot.
  • _all_docs includes design documents; you can filter them out by requesting startkey="a" (design docs start with _, which sorts before alphabetic characters in CouchDB's collation).
By what field does CouchDB's _all_docs endpoint sort its results?
What is the main limitation of _all_docs compared to a custom MapReduce view?

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