Resource Governance in SQL Server
Resource governance is a critical aspect of managing SQL Server performance, especially in shared environments or when specific workloads require guaranteed resources. SQL Server's Resource Governor allows administrators to control and manage the consumption of system resources by user-defined workloads.
1. Introduction to Resource Governance
Effective resource governance ensures that critical applications and services receive the necessary CPU, memory, and I/O resources, preventing resource starvation for important tasks due to uncontrolled consumption by less critical ones. This helps maintain a predictable and stable performance environment.
2. Resource Governor Overview
Resource Governor enables administrators to define policies for resource allocation. It works by grouping incoming user requests (workloads) into workload groups, which are then mapped to resource pools. Each resource pool is assigned specific resource limits and settings.
Key components include:
- Resource Pools: Containers for managing resources. Default pools include
Internal(for SQL Server system tasks) andDefault(for unclassified workloads). You can create custom pools likeFinancePoolorReportingPool. - Workload Groups: Group similar requests. A workload group is associated with a single resource pool.
- Classifier Functions: User-defined functions that determine which workload group a request belongs to based on criteria like login name, application name, or IP address.
3. Managing Workload Groups
Workload groups define the resource governance settings for requests within them. You can configure settings such as:
- CPU: Maximum CPU percentage, minimum CPU percentage, importance.
- Memory: Minimum memory percentage, maximum memory percentage.
- I/O: Disk reads per second, disk writes per second.
Example SQL Syntax:
CREATE WORKLOAD GROUP SalesWorkload
WITH (
RESOURCE_POOL = 'SalesPool',
CAP_CPU_PERCENT = 70,
CAP_MEMORY_GRANT_PERCENT = 50,
REQUEST_MAX_CPU_TIME_SEC = 300,
REQUEST_MAX_MEMORY_GRANT_MB = 1024
);
4. Configuring Resource Pools
Resource pools are the actual containers that manage the allocated resources. You can create new pools or modify existing ones.
Example SQL Syntax:
CREATE RESOURCE POOL SalesPool
WITH (
MAX_MEMORY_PERCENT = 30,
MIN_MEMORY_PERCENT = 10,
MAX_CPU_PERCENT = 80
);
When creating or altering a resource pool, consider the overall system resources and the needs of different workloads.
5. Creating Classifier Functions
Classifier functions are T-SQL functions that inspect session or request properties and return the name of the workload group to which the session should be assigned. This is the core of directing traffic to appropriate resource pools.
Example Classifier Function:
CREATE FUNCTION fn_SalesClassifier()
RETURNS VARCHAR(128)
AS
BEGIN
DECLARE @workload_group VARCHAR(128);
IF(SUSER_SNAME() = 'SalesUser')
SET @workload_group = 'SalesWorkload';
ELSE IF APP_NAME() LIKE 'SalesApp%'
SET @workload_group = 'SalesWorkload';
ELSE
SET @workload_group = 'Default'; -- Assign to default if no specific match
RETURN @workload_group;
END;
GO
ALTER RESOURCE GOVERNOR
WITH (CLASSIFIER_FUNCTION = dbo.fn_SalesClassifier);
GO
ENABLE RESOURCE GOVERNOR;
GO
6. Monitoring and Troubleshooting
Regular monitoring is crucial to ensure Resource Governor is working as intended and to identify potential bottlenecks. Key Dynamic Management Views (DMVs) include:
sys.dm_resource_governor_resource_pools: Information about resource pools.sys.dm_resource_governor_workload_groups: Information about workload groups.sys.dm_exec_requests: Can show information related to resource grants.
Use SQL Server Management Studio's Activity Monitor or custom queries against these DMVs to track resource usage by workload group and pool.
Troubleshooting Tips:
- Verify classifier function logic.
- Check if workloads are correctly assigned to groups.
- Monitor CPU and memory grants for sessions within restricted groups.
- Ensure resource pool settings align with expected demands.
By carefully configuring Resource Governor, database administrators can significantly improve the stability and performance of their SQL Server instances, ensuring that critical operations are prioritized and system resources are managed efficiently.