Hello,
I would like to get some feedback regarding the best storage optimization strategy for a large SQL Server database.
Option 1: Add multiple data files within the same filegroup and distribute them across different storage LUNs/disks, allowing SQL Server to spread allocations using the Proportional Fill algorithm.
Option 2: Create a separate filegroup on a different storage tier/LUN and rebuild the clustered and nonclustered indexes of the largest tables onto this filegroup, effectively separating data and index structures across different storage paths.
In your experience, which approach provides the greatest benefit in terms of I/O performance and scalability, especially in modern SAN environments?
Have you observed measurable performance gains with either approach, and under what workload conditions (OLTP, data warehouse, large databases, etc.)?
Thanks in advance for sharing your experience and recommendations.