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Databases & messaging · #couchdb
Step‑by‑step guide to diagnose why a CouchDB continuous replication job stays in the 'triggered' state, with checks for auth, network, view lag, and revision tree depth.
Step-by-step guide to diagnose and fix CouchDB view index build failures in a cluster, covering disk space, I/O saturation, design doc sync, and manual rebuild checks.
CouchDB MVCC model lets concurrent writes coexist, but conflict handling choices affect data integrity. This guide compares automatic and explicit merging, outlines trade-offs, and shows how to detect and resolve conflicts using ?revs=true.
CouchDB's validate_doc_update rejects bad revisions before they land, but it cannot read other documents. Here is where it fits and where it stops.
CouchDB’s MVCC keeps every write as a leaf revision, so concurrent updates create conflicts that the application must resolve. Learn how to detect, merge, and clean up these conflicts to avoid storage bloat and data divergence.
Learn how to replace slow ad‑hoc map/reduce queries with Mango JSON indexes in CouchDB 3.0+, see a concrete example of indexing the `type` field, and understand the trade‑offs involved.
CouchDB's Mango query API lets you skip map/reduce views for ad-hoc lookups — but only if you back selectors with JSON indexes, paginate with bookmarks, and know where Mango's limits are.
CouchDB's replication protocol and _changes feed are a ready-made offline-first sync engine. Here's how to use them, and why Mango queries belong elsewhere.
A decision guide for CouchDB: when to use Mango _find queries versus map/reduce views, with a compact comparison table, trade‑off analysis, and a concrete _explain validation step.