![]() Review the version specific licensing guide for for details. An evaluation deployment is available for 180 days. The premium offering, SQL Server Enterprise edition delivers comprehensive high-end datacenter capabilities with blazing-fast performance, unlimited virtualization 1, and end-to-end business intelligence, enabling high service levels for mission-critical workloads and end-user access to data insights.Įnterprise edition is available for evaluation. The following table describes the editions of SQL Server. Try SQL Server! Download SQL Server 2022 (16.x) from the Evaluation Center. The following sections help you understand how to make the best choice among the editions and components available in SQL Server.įor the latest release notes and what's new information, see the following: The SQL Server components that you install also depend on your specific requirements. The different editions of SQL Server accommodate the unique performance, runtime, and price requirements of organizations and individuals. Installation requirements vary based on your application needs. You can filter the queries by user, query duration, query status, and query type.This article provides details of features supported by the various editions of SQL Server 2022 (16.x).įor information about other versions, see:įor information about Azure SQL, see Features comparison: Azure SQL Database and Azure SQL Managed Instance. Query history table: The query history table shows all of the queries active during the selected time frame, their start time and duration, and the user that executed the query. During a cluster recycle, this count may temporarily exceed configured maximum. Running clusters chart: The running clusters chart shows the number of clusters allocated to the warehouse during the selected time frame. Query count chart: The query count chart shows the number of queries running or queued on the warehouse during the selected time frame. You can also click and drag on the bar chart to change the time range. The default time range is 8 hours, but you can specify 24 hours, 7 days, or 14 days. Time scale filter: The monitoring time scale filter sets the time range for the query count chart, running cluster chart, and the query history and event log table. Live statistics: Live statistics show the currently running and queued queries, active SQL sessions, the warehouse status, and the current cluster count. On the Monitoring tab, you see the following monitoring elements: To monitor a SQL warehouse, click the name of a SQL warehouse and then the Monitoring tab. See What are the available warehouse types? for the list. If serverless is enabled in your account, it will be the default. During a recycle period, you may temporarily see a cluster count that exceeds the maximum as Databricks transitions new workloads to the new cluster and waits to recycle the old cluster until all open workloads have completed. ![]() In order to maintain optimal performance, Databricks periodically recycles clusters. Databricks recommends a cluster for every 10 concurrent queries. You can increase the maximum clusters if you want to handle more concurrent users for a given query. The default is a minimum and a maximum of one cluster. Scaling sets the minimum and maximum number of clusters that will be used for a query. Note that you can create a serverless SQL warehouse using the SQL warehouses API, in which case you can set the Auto Stop value as low as 1 minute. The minimum is 5 minutes when you use the UI. Serverless SQL warehouses: The default is 10 minutes, which is recommended for typical use. Pro and classic SQL warehouses: The default is 45 minutes, which is recommended for typical use. ![]() Idle SQL warehouses continue to accumulate DBU and cloud instance charges until they are stopped. To reduce query latency, increase the size.Īuto Stop determines whether the warehouse stops if it’s idle for the specified number of minutes. SQL warehouse sizing, scaling, and queuing behaviorĬreating a SQL warehouse in the UI allows you to update the following settings:Ĭluster Size represents the size of the driver node and number of worker nodes associated with the cluster. ![]() Run SQL statements on Databricks SQL warehouses with the Databricks SQL Statement Execution REST API.Transfer ownership of Databricks SQL objects.Manage users, service principals, and groups.Create and manage your Databricks workspaces.Get started with Databricks administration. ![]()
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