How to perform bulk inserts or updates efficiently in Go with SQL databases?

There are several ways to perform bulk inserts or updates efficiently in Go with SQL databases. Here are a few approaches you can consider:

1. Using Prepared Statements:

   • Prepare the SQL statement once outside the loop.
   • Bind the parameters with appropriate values inside the loop.
   • Execute the statement within the loop.
   • This approach avoids re-preparing the statement for each iteration, improving performance.

2. Transaction Batching:

   • Begin a database transaction before the loop starts.
   • Perform bulk inserts or updates in a loop.
   • Commit the transaction after the loop completes.
   • This approach groups the operations into a single transaction, reducing overhead.

3. Using the SQL INSERT INTO ... VALUES syntax:

   • Generate a multi-row INSERT statement dynamically with placeholders for values.
   • Concatenate multiple rows of values into the statement.
   • Execute the bulk INSERT statement once.
   • This approach minimizes the number of database round-trips, improving efficiency.

4. Utilizing database-specific bulk copy APIs:

   • Some databases provide specific APIs, such as COPY FROM in PostgreSQL or BULK INSERT in Microsoft SQL Server, for efficient bulk data ingestion.
   • Utilize these database-specific APIs with appropriate drivers or libraries for optimal performance.

Consider the volume of data and the database you are using to select the most suitable approach for your specific use case. Additionally, benchmark and profile your code to fine-tune performance and ensure efficient bulk operations.