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Databases & messaging · #couchbase
Couchbase scopes and collections offer logical isolation inside a bucket, but memory, flush, and replicas stay bucket-wide. Learn how N1QL keyspaces, per-collection indexes, and RBAC paths work, and when to choose collections over separate buckets.
Learn how to add a Couchbase secondary index that turns expensive full‑bucket scans into fast index‑only lookups, with a concrete example, verification steps, and trade‑offs.
Deep OFFSET pages in Couchbase N1QL scan and skip rows, degrading as page depth grows. This guide shows how to build a covering composite index, encode a cursor from the last sort key and unique tiebreaker, and verify the plan with EXPLAIN.
Learn how Couchbase’s Sub‑Document API lets you update tiny JSON fragments in milliseconds, why it matters for high‑write workloads, and how to verify the performance boost.
Learn how Couchbase Subdocument API lets you update only the fields you need, cutting network traffic and latency in high‑write applications.
Learn how to replace inefficient Primary Indexes in Couchbase with Global Secondary Indexes and Covering Indexes to eliminate data fetches and reduce query latency.
Stop relying on Primary Scans in Couchbase. Learn how Global Secondary Indexes (GSI) and Covering Indexes eliminate full bucket scans and reduce data fetch latency.
When deciding how to implement search for a Couchbase‑backed application, you can either use Couchbase Server’s built‑in Full‑Text Search or hook up an external Elasticsearch cluster. This guide compares the two options, discusses trade‑offs, and walks through a sample validation test.
Step‑by‑step guide to configure bidirectional XDCR for active‑active Couchbase clusters, including verification and recovery procedures.
json
elasticsearch