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Databases & messaging · #couchbase
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?
Couchbase SQL++ (N1QL) employs OFFSET and LIMIT clauses to manage result set pagination. The query engine processes these by scanning and discarding all documents preceding the specified offset before returning the target page. In environments utilizing the Java SDK, this behavior can lead to linear performance degradation as the offset increases, potentiall