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A general rowstore index can help ordinary relational predicates but need not make expressions over JSON_VALUE sargable. Indexing an appropriate computed JSON path targets the repeated extraction.

“Monitor filtered-index eligibility and plan reuse” concerns A full index is large and mostly unused; the reported problem instead is Repeated JSON_VALUE evaluation produces expensive scans. Monitor plan regressions and index maintenance.

“Watch partition boundary maintenance and skew” concerns Large deletes cause long log usage and blocking; the reported problem instead is Repeated JSON_VALUE evaluation produces expensive scans. Monitor plan regressions and index maintenance.

“Inspect index fragmentation, page splits, and insert pattern” concerns Page split events spike on a busy B-tree; the reported problem instead is Orphan records appear after bulk import. Look for nonexistent parent keys and disabled constraints.

A primary key guarantees a row’s own identity but does not establish that a child row references a valid parent; the relationship needs an enforced foreign key.

“Map node and edge relationships and query capabilities” concerns Multiple self-joins make variable-depth connections difficult; the reported problem instead is Orphan records appear after bulk import. Look for nonexistent parent keys and disabled constraints.

A CHECK constraint validates a value against a local predicate, but cannot prove every child row refers to an existing parent. A foreign-key constraint enforces referential integrity.

A unique constraint prevents duplicate values within its key, not orphaned child records whose parent keys are absent.

A primary key guarantees a row’s own identity but does not establish that a child row references a valid parent; the relationship needs an enforced foreign key.

A unique constraint prevents duplicate values within its key, not orphaned child records whose parent keys are absent.

“Replay a representative workload against an indexed test copy” concerns Table scans occur despite highly selective filters; the reported problem instead is Orphan records appear after bulk import. Import synthetic valid and invalid line items in a staging copy.

A CHECK constraint validates a value against a local predicate, but cannot prove every child row refers to an existing parent. A foreign-key constraint enforces referential integrity.

“Active lookups improve and archived rows remain correct” concerns A full index is large and mostly unused; the reported problem instead is Orphan records appear after bulk import. Invalid parent references are rejected and existing rows validated.

A unique constraint prevents duplicate values within its key, not orphaned child records whose parent keys are absent.

“Remote rows and types match expected results without unnecessary local copies” concerns Copying all external data hourly is costly; the reported problem instead is Orphan records appear after bulk import. Invalid parent references are rejected and existing rows validated.

“Watch conversion and arithmetic overflow errors” concerns FLOAT introduces approximate representations in money calculations; the reported problem instead is Orphan records appear after bulk import. Watch constraint violations in ingestion logs.

“Watch partition boundary maintenance and skew” concerns Large deletes cause long log usage and blocking; the reported problem instead is Orphan records appear after bulk import. Watch constraint violations in ingestion logs.

A CHECK constraint validates a value against a local predicate, but cannot prove every child row refers to an existing parent. A foreign-key constraint enforces referential integrity.

“Inspect active-row selectivity and parameterized query filters” concerns A full index is large and mostly unused; the reported problem instead is Application validation is bypassed by some ETL jobs. Inspect existing out-of-range values and column nullability.

“Inspect range boundaries and partition-alignment requirements” concerns Large deletes cause long log usage and blocking; the reported problem instead is Application validation is bypassed by some ETL jobs. Inspect existing out-of-range values and column nullability.

“Inspect current defaults and time-zone expectations” concerns Application callers inconsistently supply CreatedAt; the reported problem instead is Application validation is bypassed by some ETL jobs. Inspect existing out-of-range values and column nullability.

“Enforce a UNIQUE constraint or index on the approved business key” concerns Application-level duplicate checks race under concurrency; the reported problem instead is Application validation is bypassed by some ETL jobs. Add a CHECK constraint expressing the allowable quantity rule.

A foreign key checks existence of referenced rows; it does not enforce an independent numeric or domain-range rule. A CHECK constraint expresses that business predicate.

“Define supported external tables and credentials for the remote source” concerns Copying all external data hourly is costly; the reported problem instead is Application validation is bypassed by some ETL jobs. Add a CHECK constraint expressing the allowable quantity rule.

Indexing a JSON path speeds supported lookups, but cannot enforce business-value boundaries when ETL bypasses the application validation layer. Put the constraint in the database.

An in-memory table can improve transactional throughput; it cannot ensure every import path respects business-value limits unless constraints are enforced in the database.

A foreign key checks existence of referenced rows; it does not enforce an independent numeric or domain-range rule. A CHECK constraint expresses that business predicate.

“Missing values receive the documented default without overwriting explicit values” concerns Application callers inconsistently supply CreatedAt; the reported problem instead is Application validation is bypassed by some ETL jobs. Database rejects disallowed values regardless of client.

“JSON parsing and indexed queries return correct typed values” concerns A rigid collection of nullable columns changes with every product type; the reported problem instead is Application validation is bypassed by some ETL jobs. Database rejects disallowed values regardless of client.

“Historical values are retrievable after updates without custom triggers” concerns Overwriting rows discards prior valid values; the reported problem instead is Application validation is bypassed by some ETL jobs. Database rejects disallowed values regardless of client.

“Monitor unique username conflicts and foreign key violations” concerns Username changes cascade to many child records; the reported problem instead is Application validation is bypassed by some ETL jobs. Monitor CHECK violations and rejected imports.

A foreign key checks existence of referenced rows; it does not enforce an independent numeric or domain-range rule. A CHECK constraint expresses that business predicate.

“Monitor connector latency and remote access failures” concerns Copying all external data hourly is costly; the reported problem instead is Application validation is bypassed by some ETL jobs. Monitor CHECK violations and rejected imports.