SQL Server 2019: Performance Degradation with Indexed Views in High-Volume Inserts
I've spent hours debugging this and I've been researching this but I recently switched to I'm experiencing significant performance degradation when inserting records into a table that has an indexed view in SQL Server 2019. The indexed view is defined on a base table that stores transaction records, and it aggregates data for reporting purposes. The performance issues arise during high-volume inserts, where the execution time increases drastically. Here's the relevant part of my schema: ```sql CREATE TABLE Transactions ( TransactionID INT PRIMARY KEY, Amount DECIMAL(10, 2), CreatedAt DATETIME DEFAULT GETDATE() ); CREATE VIEW vw_TransactionSummary WITH SCHEMABINDING AS SELECT CAST(CreatedAt AS DATE) AS TransactionDate, SUM(Amount) AS TotalAmount FROM dbo.Transactions GROUP BY CAST(CreatedAt AS DATE); CREATE UNIQUE CLUSTERED INDEX IX_TransactionSummary ON vw_TransactionSummary (TransactionDate); ``` The issue becomes apparent when I run batch inserts using the following script: ```sql SET NOCOUNT ON; DECLARE @i INT = 0; WHILE @i < 10000 BEGIN INSERT INTO Transactions (Amount) VALUES (RAND() * 100); SET @i = @i + 1; END ``` When I execute this batch insert, the performance drops significantly, taking several minutes to complete. I noticed that the insert operation has to maintain the indexed view, which seems to be the cause of the slowdown, especially under high load. I've tried using the `TABLOCK` hint to see if that would help, but it didn't make a noticeable difference. What strategies can I employ to improve the performance of inserts when using indexed views? Is it advisable to disable the indexed view during heavy transactions and rebuild it later, or are there more efficient ways to handle this situation? This is my first time working with Sql latest. How would you solve this? This is part of a larger mobile app I'm building. Has anyone dealt with something similar?