![]() ![]() Each workload group is in a resource pool. A workload allows for aggregate monitoring of the sessions, and defines policies for the sessions. A workload group serves as a container for session requests that have similar classification criteria. For more information, see Resource Governor Resource Pool. Resource Governor also supports user-defined resource pools. Two resource pools (internal and default) are created when SQL Server is installed. You can think of a pool as a virtual SQL Server instance inside of a SQL Server instance. A resource pool, represents the physical resources of the server. The following three concepts are fundamental to understanding and using Resource Governor: You cannot set I/O thresholds on the internal resource pool. The Resource Governor applies primarily to user read operations because most write operations are typically performed by system tasks. System tasks include write operations to the transaction log and Lazy Writer I/O operations. The ability to govern physical I/O only applies to user operations and not system tasks. This may skew in the statistics returned for CPU usage percent. Resource Governor can manage OLTP workloads but these types of queries, which are typically very short in duration, are not always on the CPU long enough to apply bandwidth controls. There is no workload monitoring or workload management between SQL Server instances. Resource Governor cannot be used for Analysis Services, Integration Services, and Reporting Services. Resource management is limited to the SQL Server Database Engine. This release of Resource Governor has the following constraints: Isolate and limit runaway queries or throttle I/O resources for operations such as DBCC CHECKDB that can saturate the I/O subsystem and negatively impact other workloads.Īdd fine-grained resource tracking for resource usage chargebacks and provide predictable billing to the consumers of the server resources. Provide predictable performance and support SLAs for workload tenants in a multi-workload and multi-user environment. That is, you can divide the available resources on a server among the workloads and minimize the problems that can occur when workloads compete for resources. Provide multitenancy and resource isolation on single instances of SQL Server that serve multiple client workloads. These resources are CPU, physical I/O, and memory. In an environment where multiple distinct workloads are present on the same server, Resource Governor enables you to differentiate these workloads and allocate shared resources as they are requested, based on the limits that you specify. Resource limits can be reconfigured in real time with minimal impact on workloads that are executing. This is not a requirement, but the more uniform the resource usage pattern of a workload is, the more benefit you are likely to derive from Resource Governor. In the Resource Governor context, workload is a set of similarly sized queries or requests that can, and should be, treated as a single entity. Resource Governor enables you to manage SQL Server workloads and resources by specifying limits on resource consumption by incoming requests. Azure Synapse Analytics has a different implementation of similar Resource Governor behavior via the Workload Classification feature. While Azure SQL Database leverages Resource Governor (among other techniques) to manage resources, user configuration of custom resource pools and workload groups in Azure SQL Database is not supported. ![]()
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