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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
Documents in the bucket store event times as ISO 8601 strings that include regional offsets, such as 2026-10-16T10:00:00+05:30 , and reporting requirements call for output in a different regional time zone. Because Couchbase lacks a native DateTime type, the unresolved choice is whether to convert these strings at query time with DATE_FORMAT_STR or normalize
During a Couchbase Server upgrade, N1QL indexes sometimes remain in the indexing state, causing query timeouts. This symptom suggests that the upgrade process may not complete the necessary rebuilds automatically. Key uncertainties: the upgrade logs frequently omit explicit completion timestamps for index rebuilds; it is not clear if all index types are rebu
Pagination for a large Couchbase dataset is commonly implemented with N1QL ORDER BY , LIMIT , and OFFSET clauses. When the sort attribute is not guaranteed to be unique, each page boundary can become unstable if documents are inserted, updated, or deleted between requests. Large OFFSET values also require the engine to scan and discard preceding rows, which
Goal: use the mutation token returned by a Couchbase key-value write as the AT_PLUS vector for an immediately following N1QL SELECT, achieving read-your-own-writes without forcing every indexer to catch up as REQUEST_PLUS does. Constraint: AT_PLUS accepts a client-supplied consistent vector timestamp to bound staleness, while REQUEST_PLUS waits for global in
Goal Retrieve a large dataset in pages while maintaining a stable order of rows. Constraints & Uncertainty LIMIT/OFFSET scans all preceding rows, leading to linear time for high offsets. Keyset pagination avoids this but its snapshot consistency during concurrent inserts, updates, or deletes is not fully documented. Without guaranteed consistency, pages
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
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