NoSQL · Verify
NoSQL Consistency & Hot Partition Check
Verify the selected data invariant and access/resource behavior using the engine’s actual atomicity and partition model.
MCP library 1.6.1 · Instruction library 1.6.1 · English technical instructions
← Back to searchUse this workflow
Connect Vibe Coding Library to a coding agent that supports MCP over Streamable HTTP. Choose Other / MCP agent for a neutral prompt, or a ready-made Codex or Claude Code invocation. Add your task details below.
Goal
Verify the selected data invariant and access/resource behavior using the engine’s actual atomicity and partition model.
Context
Identify engine/version/topology, selected key/document and query, index, consistency/conditional-write policy, expected invariant and representative skew.
Scenarios
Select the cases that test the requested guarantee. Define expected state/effects before execution; use the authorized environment and a valid control.
- Generate representative skew/hot keys and verify throttling, latency, partition distribution, capacity response, and recovery.
- Run conflicting conditional/transactional updates and retries; verify final invariant and conflict/error mapping.
- Interrupt topology/connection paths and verify bounded selection/connect/socket timeouts, retries, pool recovery, and stale-read contract.
- Expire data and interrupt change-stream consumers; verify asynchronous TTL expectations, resume token, duplicates, retention gap, and full resync.
- Exercise each changed query/index with representative cardinality and pagination; reject unbounded scan/fan-out behavior.
Verification
Compare final stored values, conflict handling, access path, read freshness, TTL/stream behavior and resource bounds using engine-specific evidence.
Execute and decide
Use the selected engine/topology and deterministic records with known keys, versions and expected values. Establish a normal write/read/query control. Synchronize the chosen concurrent update, ambiguous retry, stale read or CDC interruption and observe the authoritative final records and relevant projection.
For access/resource checks, retain query predicates, index evidence, cardinality/skew, page/fan-out bounds and measurement window. For TTL/CDC, observe logical expiry separately from cleanup and stream/index lag; a resume token alone does not prove a retention gap was recovered.
Return passed, failed or blocked with engine, sequence, stored values/access evidence and missing managed-service layers. Pass a failure to the authorized owner repair, repeat its case/control and finish Patch Checking for changed code/configuration. Use a suitable test environment for topology faults, backfills and saturation.
Workflow ID: nosql-consistency-hot-partition-check · View the versioned source · Shared workflow and authority rules