![]() ![]() The following statements are exempt from resource classes and always run in smallrc: For example, if the concurrency limit is 16, many users can be selecting from system views without impacting the available concurrency slots. These exempt queries do not count towards the concurrency limit. Some queries always run in the smallrc resource class even though the user is a member of a larger resource class. Operations not governed by resource classes You can monitor the system regardless of the number of queries executing on it. SELECT statements on dynamic management views (DMVs) or other system views are not governed by any of the concurrency limits. The service administrator in this context is the login specified for the "Server admin login" when creating a new Synapse SQL pool with a new server. The service administrator is the user created during the provisioning process. The resource class of the service administrator is fixed at smallrc and cannot be changed. Service Levelīy default, each user is a member of the dynamic resource class smallrc. The memory allocation for each resource class is as follows. The dynamic resource classes are implemented with these pre-defined database roles: When you scale up to a larger service level, your queries automatically get more memory. While static resource classes are beneficial for higher concurrency and static data volumes, dynamic resource classes are better suited for a growing or variable amount of data. The static resource classes are implemented with these pre-defined database roles:ĭynamic Resource Classes allocate a variable amount of memory depending on the current service level. ![]() Static resource classes are ideal if the data volume is known and constant. Since queries get the same memory allocation regardless of the performance level, scaling out the data warehouse allows more queries to run within a resource class. Static resource classes allocate the same amount of memory regardless of the current performance level, which is measured in data warehouse units. To adjust the resource class, you can run the query under a different user or change the current user's resource class membership.To view the resource utilization for the resource classes, see Memory and concurrency limits.Concurrency slots are explained later in this article. Resource classes use concurrency slots to measure resource consumption. Dynamic resource classes, which are well suited for data sets that are growing in size and need increased performance as the service level is scaled up.Static resources classes, which are well suited for increased concurrency on a data set size that is fixed.Larger resource classes increase the maximum memory per query, but reduce concurrency.Smaller resource classes reduce the maximum memory per query, but increase concurrency.There's a trade-off between memory and concurrency. Resource classes can help you configure resources for your queries by setting limits on the number of queries that run concurrently and on the compute-resources assigned to each query. Resource classes are pre-determined resource limits in Synapse SQL pool that govern compute resources and concurrency for query execution. The performance capacity of a query is determined by the user's resource class. Guidance for using resource classes to manage memory and concurrency for Synapse SQL pool queries in Azure Synapse. ![]()
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