Client Server Software and Hardware Requirements to run SQL-Server 2022

The requirements to run SQL Server 2022 depend on both software and hardware configurations. Here’s an overview:
Client Requirements: Clients interacting with SQL Server 2022 typically use tools like SQL Server Management Studio (SSMS) or other client applications that communicate over a network.

• Operating System: Windows 10 (version 1809 or later), Windows 11, or a compatible Linux distribution (for SQL Server on Linux).
• Memory: Minimum of 4 GB (but 8 GB or more is recommended for better performance).
• Disk Space: 2 GB for SSMS installation; additional space may be required for client data and tools.
• Network: A reliable network connection, particularly for clients accessing SQL Server remotely.

Server Software Requirements:

1. Operating System:
   • Windows: Windows Server 2022, 2019, or 2016 (with Desktop Experience), Windows 10 or 11 for development/testing (not recommended for production).
   • Linux: Supported distributions include Red Hat Enterprise Linux (RHEL) 8.x, Ubuntu 20.04/22.04 LTS, and SUSE Linux Enterprise Server (SLES) 15 SP2+.
2. Frameworks and Libraries:
   • .NET Framework 4.8 or later for certain SQL Server components on Windows.
   • Core libraries for SQL Server on Linux (e.g., libc++ and libssl for compatibility).

Server Hardware Requirements:

1. Processor:
   • Minimum: x64-compatible processor with a base clock speed of at least 1.4 GHz.
   • Recommended: Multi-core processors, especially for larger workloads (2 GHz or faster recommended for best performance).
   • Supported CPUs: Intel, AMD, or compatible processors; for Linux, x64-compatible with extensions such as SSE4.2 or later.
2. Memory:
   • Minimum: 4 GB (more for larger workloads).
   • Recommended: 32 GB or more, especially for production environments where high performance is essential.
3. Storage:
   • Minimum Disk Space: At least 6 GB for the SQL Server engine and supporting components.
   • Drive Configuration: SSDs are preferred for optimal performance, especially for transaction logs and data files.
4. Network:
   • Minimum: 1 Gbps Ethernet.
   • Recommended: 10 Gbps Ethernet or higher for high-throughput applications and heavy network loads.

Additional Considerations:

• Virtualization: SQL Server 2022 is supported in virtualized environments such as Hyper-V, VMware, and other compatible hypervisors.
• Disk I/O Performance: Ensuring high I/O throughput is crucial for SQL Server performance, so dedicated storage for SQL data files and transaction logs is recommended.

These specifications provide a strong foundation for deploying SQL Server 2022 in various environments, from development and testing to full-scale production setups.

This option has the effect of making your view look very much like an actual table to DB-LIB, ODBC, and OLE DB clients. Without this option, the metadata passed back to the client API is that of the base table(s) that your view relies on. Providing this metadata information is required to allow for any client-side cursors (cursors your client application manages) to be updatable. Note that, if you want to support such cursors, you are also going to need to use an INSTEAD OF trigger.

alter view dbo.sales(vi)
with view_metadata
as
   select o.[SalesOrderID] 
   from [Sales].[SalesOrderHeader] o 

   select * from dbo.sales

When a view is referred to, the logic in the query that makes up the view is essentially incorporated into the calling query.
Unfortunately, this means that the calling query just gets that much more complex. The additional overhead of determining the impact of the view (and what data it represents) on the fly can actually become very high. What is more, you are often including additional joins into your query in the form of the tables that are joined in the view. Indexed views give you a way of taking care of some of this impact before the query is run. An indexed view is essentially a view that has a set of unique values materialized into the form of a clustered index. The advantage of this is that it provides a very quick lookup in terms of pulling the information behind a view together. After the first index (which must be a clustered index against a unique set of values), SQL Server can also build additional indexes on the view using the cluster key from the first index as a reference point. That said, nothing comes for free and there are some restrictions about when you can and cannot build indexes on views.