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Resource governor to control etl processes
Resource governor to control etl processes





For more information on query execution memory grants, see Memory Grant Considerations. For databases without memory-optimized tables, the memory referenced is query execution grant memory, not buffer pool memory (data and index pages). These settings are the minimum and maximum amount of memory reserved for the resource pool that can't be shared with other resource pools. MIN_MEMORY_PERCENT and MAX_MEMORY_PERCENT

resource governor to control etl processes

This goal can be accomplished by setting the CAP_CPU_PERCENT to 30 for the Marketing resource pool. They want predictable billing and don't want to pay for more than 30 percent of the CPU. Based on the example in the previous section, lets assume that the Marketing department is being charged for their resource usage. Workloads associated with the pool can use CPU capacity above the value of MAX_CPU_PERCENT if it's available, but not above the value of CAP_CPU_PERCENT. The CAP_CPU_PERCENT setting is a hard cap limit on the CPU bandwidth for all requests in the resource pool. In this example, if the Sales workload is switched off, the Marketing workload can use 100 percent of the CPU if needed. The maximum value only applies when there's contention for CPU resources. If there's available CPU capacity the worker threads use all of it, up to 100 percent. The maximum CPU percentage is an opportunistic maximum. This configuration ensures that the Sales workload receives the CPU resources it requires and the Marketing workload is isolated from the CPU demands of the Sales workload. By creating a separate resource pool for each department, you can assign a minimum CPU percentage of 70 for the Sales resource pool and a maximum CPU percentage of 30 for the Marketing resource pool. The Marketing department also has a CPU-intensive workload, but has lower-priority queries. The Sales department has a CPU-intensive workload with high-priority queries. For example, assume the Sales and Marketing departments in a company share the same database. You can use these settings to establish predictable CPU resource usage for multiple workloads that is based on the needs of each workload. These settings are the minimum and maximum guaranteed average CPU bandwidth for all requests in the resource pool when there's CPU contention. The pool resources are defined by specifying one or more of the following settings for each resource (CPU, memory, and physical IO): MIN_CPU_PERCENT and MAX_CPU_PERCENT The other part is shared with other pools, which supports maximum possible resource consumption. One part doesn't overlap with other pools, which enables minimum resource reservation. You can think of a pool as a virtual SQL Server instance inside of a SQL Server instance.

resource governor to control etl processes

Resource Pool ConceptsĪ resource pool, or pool, represents the physical resources of the server. When a session is started, the Resource Governor classifier assigns the session to a specific workload group, and the session must run using the resources assigned to the workload group. Each resource pool can contain one or more workload groups. Resource Governor enables you to specify limits on the amount of CPU, physical IO, and memory that incoming application requests can use within the resource pool. In the SQL Server Resource Governor, a resource pool represents a subset of the physical resources of an instance of the Database Engine. Applies to: SQL Server Azure SQL Managed Instance







Resource governor to control etl processes