SQL Server – Equivalents to Oracle DML Error Logging

Capabilities, Workarounds, and Disadvantages

Baseline Statement

Microsoft SQL Server does not provide a native, engine-level equivalent to Oracle DML Error Logging.

There is no SQL syntax in SQL Server that allows row-level DML errors to be logged, failed rows to be skipped, and the statement to continue execution, all within a single set-based SQL statement.

As a result, equivalent behavior can only be achieved through workarounds.

Why TRY…CATCH Is Not Equivalent to Oracle LOG ERRORS

Key limitations

1. Errors are handled at the statement level, not at the row level.
2. A single invalid row causes the entire INSERT to fail.
3. The entire transaction is rolled back.
4. Execution does not continue after an error.
5. The failing row cannot be automatically identified.
6. There is no set-based reject handling.

Disadvantages (Detailed)

1. No row-level granularity
SQL Server cannot determine which specific row failed inside a set-based INSERT operation.

2. No continuation on error
Execution stops immediately when the first error is encountered.

3. Manual and limited logging
Only generic error metadata is available through functions such as ERROR_MESSAGE() and ERROR_NUMBER().

4. High operational risk
Large batch loads can fail entirely because of a single invalid row.

Verdict

TRY…CATCH provides exception handling, not reject handling.
It is not a functional equivalent to Oracle DML Error Logging.

Disadvantages (Detailed)

1. No error visibility
Invalid rows are silently excluded from processing.

2. No reject audit trail
There is no record explaining why a row was rejected.

3. Business logic leakage
Validation rules become scattered across multiple SQL statements.

4. Incomplete protection
This approach cannot safely pre-detect primary key or unique constraint violations, concurrent conflicts, or trigger-side logic.

Verdict

This approach represents error avoidance, not error handling.
It does not meet audit, compliance, or financial reporting requirements.

Row-by-Row Processing (Cursor or Loop)

Disadvantages (Detailed)

1. Severe performance penalty
Row-by-row execution is orders of magnitude slower than set-based SQL.

2. Scalability limitations
This approach is unsuitable for large datasets or high-volume batch processing.

3. Increased code complexity
Maintenance costs rise and the probability of defects increases.

4. Transactional complexity
Careful control is required to avoid partial commits, locking issues, or blocking.

Verdict

Row-by-row processing is technically closer in behavior to Oracle LOG ERRORS, but it is architecturally unacceptable for large-scale or financial systems.

SSIS (SQL Server Integration Services)

Description

SQL Server Integration Services provides ETL-level reject handling through Data Flow tasks with error outputs.

Capabilities

SSIS can redirect invalid rows, capture error codes and descriptions, and continue processing valid rows.

Why This Is Only an ETL-Equivalent

SSIS operates outside the SQL engine, runs in a separate runtime environment, and requires independent deployment and monitoring.

Disadvantages (Detailed)

1. Not SQL-native
Logic is moved out of the database engine.

2. Increased operational complexity
SSIS packages require scheduling, monitoring, and operational support.

3. Deployment overhead
SSIS has a separate lifecycle from database schema and code.

4. Harder governance and auditing
Additional components increase complexity for audits and compliance.

Verdict

SSIS is the closest functional equivalent to Oracle DML Error Logging, but it remains external, tool-dependent, and unsuitable when pure SQL-based processing is required.

Comparative Summary (SQL Server Perspective)

Native row-level DML reject logging is not available.
Continuation on error in SQL is not available.
Row-level diagnostics in SQL are not available.
Set-based reject handling is not available.
An ETL-based equivalent exists through SSIS.
Financial-grade batch loading is achievable only through ETL solutions.

Final Conclusion

In SQL Server, errors are raised as exceptions, exceptions abort statements, and row-level reject handling does not exist in SQL. Achieving behavior similar to Oracle DML Error Logging requires procedural code or external ETL tools.

One-line Takeaway

SQL Server cannot perform Oracle-style DML reject handling inside SQL; achieving similar behavior requires procedural logic or external ETL tools, each with significant performance and operational disadvantages.