How Can I Optimize Bulk Data Insertion into SQL Server from C# to Improve Performance?

Using SQL Server for Bulk Data Insertion: Performance Optimization with C

When inserting large datasets into SQL Server using C#, performance optimization is crucial. One common bottleneck is disk I/O, as seen by high %Disk time usage. To address this issue, consider these strategies:

Dropping the Primary Key

Disabling the primary key constraint during insertion can significantly improve performance. Once all rows are inserted, you can recreate the primary key to enforce data integrity.

Using Temporary Tables

Inserting data into a temporary table with the same schema as the final destination can reduce contention and minimize disk I/O. Periodically transfer data from the temporary table into the main table to keep its size manageable.

Other Considerations

• Consider disabling non-clustered indexes that are not necessary during the insertion process to reduce overhead.
• Explore using the NOCHECK and TABLOCK hints to further improve performance during bulk inserts.

Important Notes

• A clustered index is recommended when sequential data access is required, but it can impact insertion performance.
• If data is generated remotely, it may not be feasible to perform the entire process locally.
• Ensure no concurrent queries are accessing the table during the import process to avoid performance degradation.

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