SQL Server: implementing inserting large batch updates resulting in timeout errors
I'm working with a timeout scenario when trying to execute a large batch update on my SQL Server database (version 2019). The update statement is designed to modify several thousand rows in a single transaction, but it keeps failing with the behavior message: `Timeout expired. The timeout period elapsed prior to completion of the operation or the server is not responding.` I have already tried increasing the command timeout value in my ADO.NET code to 180 seconds using the following snippet: ```csharp using (SqlConnection connection = new SqlConnection(connectionString)) { connection.Open(); using (SqlCommand command = new SqlCommand(updateQuery, connection)) { command.CommandTimeout = 180; // Setting timeout to 180 seconds command.ExecuteNonQuery(); } } ``` Despite this adjustment, I'm still working with the timeout behavior. I suspect it might be due to locking issues or the size of the transaction itself, but Iām unsure how to proceed. Additionally, I tried breaking the updates into smaller batches, like 500 rows at a time, but that only mitigated the question temporarily. The update query looks something like this: ```sql UPDATE MyTable SET ColumnA = @ValueA, ColumnB = @ValueB WHERE SomeCondition = @Condition ``` I also checked the execution plan for the update query and noticed potential table scans, which could be contributing to the performance question. I've ensured that the relevant columns are indexed, but performance hasn't improved significantly. Has anyone encountered a similar scenario, and what strategies can I adopt to optimize this batch update process? Are there any specific configurations in SQL Server that I might need to adjust to handle large updates more efficiently?