SQL Server: Multiple INSERT Statements vs. Single INSERT with Multiple VALUES – A Performance Paradox
The Problem: Benchmark tests surprisingly show that executing 1000 individual INSERT
statements can be faster than a single INSERT
statement with 1000 VALUES
clauses.
The Reason: SQL Server's query processing involves a crucial "binding" or "algebrizing" phase after parsing. This phase detects and handles duplicate values within the INSERT
statement, building an optimized execution plan. The time required for this phase increases dramatically with the number of unique values.
Performance Influencers:
INSERT
statements, auto-parameterization can become a bottleneck with a large number of values, hindering performance.Execution Plan Analysis:
INSERT
with 1000 VALUES
shows a sharp increase in compilation time beyond 250 VALUES
clauses, indicating a shift to a less efficient, non-parameterized plan.Practical Implications:
INSERT
operations with short strings or high data redundancy, using multiple, separate INSERT
statements might be faster.INSERT
operations with few unique values and long strings, a single INSERT
with many VALUES
might still be more efficient.Further Considerations:
INSERT
statements can negatively impact performance.The above is the detailed content of When is Using Multiple INSERT Statements Faster Than a Single INSERT with Multiple VALUES in SQL Server?. For more information, please follow other related articles on the PHP Chinese website!