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Databases & messaging · #couchbase
Outlines the requirements, smallest viable design, trust boundaries, operational checks, failure modes, and triggers for redesigning a Couchbase XDCR link between data centers.
Guide to decide between Couchbase FTS and N1QL LIKE/REGEXP for text queries, with a compact trade‑off table, step‑by‑step index creation, query validation, and rollback steps.
Stop relying on Primary Indexes. Learn how to implement Covering Indexes in Couchbase N1QL to eliminate the 'fetch' phase and drastically reduce query latency.
When Couchbase clients see write latency spikes and time‑outs, the culprit is often a memory‑optimized bucket hitting its quota. This guide walks through the symptoms, diagnostic checks, and remediation steps to restore steady performance.
Learn how to spot, diagnose, and fix periodic p99 query latency spikes in Couchbase clusters when GSI indexes are involved.
Learn how Couchbase’s Sub‑Document API lets you atomically update nested fields without pulling the whole document, cutting bandwidth and latency. A practical Java example, trade‑offs, and how to verify the change are included.
When a Couchbase node reports it cannot join an existing cluster, what systematic steps should be taken to identify the root cause and restore normal operation?
Goal: Safe Rollback After Schema Change When applying a schema change via N1QL index updates in Couchbase, the objective is to allow a rollback to the previous index version without causing query downtime or excessive resource spikes. The two documented approaches are to create the replacement index with the WITH deferred clause and later trigger a BUILD IND
Affected feature Global Secondary Index partitioning for N1QL query execution on Couchbase Server 7.x. Precise goal Identify whether a documented partition-count configuration change, rather than a general cluster resource issue, explains latency that appears only when many concurrent N1QL SELECT statements hit the same bucket and index. Constraints and unce