How To Disable Auto Tuning Comcast
- How To Disable Auto Tuning Comcast Account
- How To Disable Auto Tuning Comcast Remote
- How To Turn Off Auto Tuning Comcast
- How To Disable Auto Tuning Comcast Service
- How To Disable Auto Tuning Comcast Channel
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SQL Database tuning recommendations are generated by Azure SQL Database Automatic tuning. This solution continuously monitors and analyzes workloads of SQL Databases providing customized tuning recommendations for each individual database related to index creation, index deletion, and optimization of query execution plans.
SQL Database Automatic tuning recommendations can be viewed in the Azure portal, retrieved with REST API calls, or by using T-SQL and PowerShell commands. This article is based on using a PowerShell script to retrieve automatic tuning recommendations.
Note
This article has been updated to use the new Azure PowerShell Azmodule. You can still use the AzureRM module, which will continue to receive bug fixes until at least December 2020.To learn more about the new Az module and AzureRM compatibility, seeIntroducing the new Azure PowerShell Az module. ForAz module installation instructions, see Install Azure PowerShell.
Important
The PowerShell Azure Resource Manager module is still supported by Azure SQL Database, but all future development is for the Az.Sql module. For these cmdlets, see AzureRM.Sql. The arguments for the commands in the Az module and in the AzureRm modules are substantially identical.
Automate email notifications for Automatic tuning recommendations
The following solution automates the sending of email notifications containing Automatic tuning recommendations. The solution described consists of automating execution of a PowerShell script for retrieving tuning recommendations using Azure Automation, and automation of scheduling email delivery job using Microsoft Flow.
Create Azure Automation account
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To use Azure Automation, the first step is to create an automation account and to configure it with Azure resources to use for execution of the PowerShell script. To learn more about Azure Automation and its capabilities, see Getting started with Azure automation.
Follow these steps to create Azure Automation Account through the method of selecting and configuring Automation app from the Marketplace:
- Log into the Azure portal
- Click on '+ Create a resource' in the upper left corner
- Search for 'Automation' (press enter)
- Click on the Automation app in the search results
- Once inside the 'Create an Automation Account' pane, click on 'Create'
- Populate the required information: enter a name for this automation account, select your Azure subscription ID and Azure resources to be used for the PowerShell script execution
- For the 'Create Azure Run As account' option, select Yes to configure the type of account under which PowerShell script runs with the help of Azure Automation. To learn more about account types, see Run As account
- Conclude creation of the automation account by clicking on Create
Tip
Record your Azure Automation account name, subscription ID, and resources (such as copy-paste to a notepad) exactly as entered while creating the Automation app. You need this information later.
If you have several Azure subscriptions for which you would like to build the same automation, you need to repeat this process for your other subscriptions.
Update Azure Automation modules
The PowerShell script to retrieve Automatic tuning recommendation uses Get-AzResource and Get-AzSqlDatabaseRecommendedAction commands for which Azure Module version 4 and above is required.
- In case your Azure Modules need updating, see Az module support in Azure Automation.
Create Azure Automation Runbook
The next step is to create a Runbook in Azure Automation inside which the PowerShell script for retrieval of tuning recommendations resides.
Follow these steps to create a new Azure Automation runbook:
- Access the Azure Automation account you created in the previous step
- Once in the automation account pane, click on the 'Runbooks' menu item on the left-hand side to create a new Azure Automation runbook with the PowerShell script. To learn more about creating automation runbooks, see Creating a new runbook.
- To add a new runbook, click on the '+Add a runbook' menu option, and then click on the 'Quick create – Create a new runbook'.
- In the Runbook pane, type in the name of your runbook (for the purpose of this example, 'AutomaticTuningEmailAutomation' is used), select the type of runbook as PowerShell and write a description of this runbook to describe its purpose.
- Click on the Create button to finish creating a new runbook
Follow these steps to load a PowerShell script inside the runbook created:
- Inside the 'Edit PowerShell Runbook' pane, select 'RUNBOOKS' on the menu tree and expand the view until you see the name of your runbook (in this example 'AutomaticTuningEmailAutomation'). Select this runbook.
- On the first line of the 'Edit PowerShell Runbook' (starting with the number 1), copy-paste the following PowerShell script code. This PowerShell script is provided as-is to get you started. Modify the script to suite your needs.
In the header of the provided PowerShell script, you need to replace <SUBSCRIPTION_ID_WITH_DATABASES> with your Azure subscription ID. To learn how to retrieve your Azure subscription ID, see Getting your Azure Subscription GUID.
In case of several subscriptions, you can add them as comma-delimited to the '$subscriptions' property in the header of the script.
Click the 'Save' button in the upper right corner to save the script. When you are satisfied with the script, click the 'Publish' button to publish this runbook.
At the main runbook pane, you can choose to click on the 'Start' button to test the script. Click on the 'Output' to view results of the script executed. This output is going to be the content of your email. The sample output from the script can be seen in the following screenshot.
Ensure to adjust the content by customizing the PowerShell script to your needs.
With the above steps, the PowerShell script to retrieve Automatic tuning recommendations is loaded in Azure Automation. The next step is to automate and schedule the email delivery job.
Automate the email jobs with Microsoft Flow
To complete the solution, as the final step, create an automation flow in Microsoft Flow consisting of three actions (jobs):
- 'Azure Automation - Create job' – used to execute the PowerShell script to retrieve Automatic tuning recommendations inside the Azure Automation runbook
- 'Azure Automation - Get job output' – used to retrieve output from the executed PowerShell script
- 'Office 365 Outlook – Send an email' – used to send out email. E-mails are sent out using the Office 365 account of the individual creating the flow.
To learn more about Microsoft Flow capabilities, see Getting started with Microsoft Flow.
Prerequisite for this step is to sign up for Microsoft Flow account and to log in. Once inside the solution, follow these steps to set up a new flow:
- Access 'My flows' menu item
- Inside My flows, select the '+Create from blank' link at the top of the page
- Click on the link 'Search for hundreds of connectors and triggers' at the bottom of the page
- In the search field type 'recurrence', and select 'Schedule - Recurrence' from the search results to schedule the email delivery job to run.
- In the Recurrence pane in the Frequency field, select the scheduling frequency for this flow to execute, such as send automated email each Minute, Hour, Day, Week, etc.
The next step is to add three jobs (create, get output and send email) to the newly created recurring flow. To accomplish adding the required jobs to the flow, follow these steps:
Create action to execute PowerShell script to retrieve tuning recommendations
- Select '+New step', followed by 'Add an action' inside the Recurrence flow pane
- In the search field type 'automation' and select 'Azure Automation – Create job' from the search results
- In the Create job pane, configure the job properties. For this configuration, you will need details of your Azure subscription ID, Resource Group and Automation Account previously recorded at the Automation Account pane. To learn more about options available in this section, see Azure Automation - Create Job.
- Complete creating this action by clicking on 'Save flow'
Create action to retrieve output from the executed PowerShell script
- Select '+New step', followed by 'Add an action' inside the Recurrence flow pane
- In the search filed type 'automation' and select 'Azure Automation – Get job output' from the search results. To learn more about options available in this section, see Azure Automation – Get job output.
- Populate fields required (similar to creating the previous job) - populate your Azure subscription ID, Resource Group, and Automation Account (as entered in the Automation Account pane)
- Click inside the field 'Job ID' for the 'Dynamic content' menu to show up. From within this menu, select the option 'Job ID'.
- Complete creating this action by clicking on 'Save flow'
Create action to send out email using Office 365 integration
- Select '+New step', followed by 'Add an action' inside the Recurrence flow pane
- In the search filed type 'send an email' and select 'Office 365 Outlook – Send an email' from the search results
- In the 'To' field type in the email address to which you need to send the notification email
- In the 'Subject' field type in the subject of your email, for example 'Automatic tuning recommendations email notification'
- Click inside the field 'Body' for the 'Dynamic content' menu to show up. From within this menu, under 'Get job output', select 'Content'
- Complete creating this action by clicking on 'Save flow'
Tip
To send automated emails to different recipients, create separate flows. In these additional flows, change the recipient email address in the 'To' field, and the email subject line in the 'Subject' field. Creating new runbooks in Azure Automation with customized PowerShell scripts (such as with change of Azure subscription ID) enables further customization of automated scenarios, such is for example emailing separate recipients on Automated tuning recommendations for separate subscriptions.
The above concludes steps required to configure the email delivery job workflow. The entire flow consisting of three actions built is shown in the following image.
To test the flow, click on 'Run Now' in the upper right corner inside the flow pane.
Statistics of running the automated jobs, showing success of email notifications sent out, can be seen from the Flow analytics pane.
The Flow analytics is helpful for monitoring the success of job executions, and if required for troubleshooting. In the case of troubleshooting, you also might want to examine the PowerShell script execution log accessible through Azure Automation app.
The final output of the automated email looks similar to the following email received after building and running this solution:
By adjusting the PowerShell script, you can adjust the output and formatting of the automated email to your needs.
You might further customize the solution to build email notifications based on a specific tuning event, and to multiple recipients, for multiple subscriptions or databases, depending on your custom scenarios.
Next steps
- Learn more on how automatic tuning can help you improve database performance, see Automatic tuning in Azure SQL Database.
- To enable automatic tuning in Azure SQL Database to manage your workload, see Enable automatic tuning.
- To manually review and apply Automatic tuning recommendations, see Find and apply performance recommendations.
Azure SQL Database is an automatically managed data service that constantly monitors your queries and identifies the action that you can perform to improve performance of your workload. You can review recommendations and manually apply them, or let Azure SQL Database automatically apply corrective actions - this is known as automatic tuning mode.
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Automatic tuning can be enabled at the server or the database level through the Azure portal, REST API calls and T-SQL commands.
Note
For Managed Instance, the supported option FORCE_LAST_GOOD_PLAN can be configured through T-SQL only. Portal based configuration and automatic index tuning options described in this article do not apply to Managed Instance.
Note
Configuring Automatic tuning options through ARM (Azure Resource Manager) template is not supported at this time.
Enable automatic tuning on server
On the server level you can choose to inherit automatic tuning configuration from 'Azure Defaults' or not to inherit the configuration. Azure defaults are FORCE_LAST_GOOD_PLAN is enabled, CREATE_INDEX is enabled, and DROP_INDEX is disabled.
Important
As of March, 2020 changes to Azure defaults for automatic tuning will take effect as follows:
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- New Azure defaults will be FORCE_LAST_GOOD_PLAN = enabled, CREATE_INDEX = disabled, and DROP_INDEX = disabled.
- Existing servers with no automatic tuning preferences configured will be automatically configured to INHERIT the new Azure defaults. This applies to all customers currently having server settings for automatic tuning in an undefined state.
- New servers created will automatically be configured to INHERIT the new Azure defaults (unlike earlier when automatic tuning configuration was in an undefined state upon new server creation).
Azure portal
To enable automatic tuning on Azure SQL Database logical server, navigate to the server in Azure portal and then select Automatic tuning in the menu.
Note
Please note that DROP_INDEX option at this time is not compatible with applications using partition switching and index hints and should not be enabled in these cases. Dropping unused indexes is not supported for Premium and Business Critical service tiers.
Select the automatic tuning options you want to enable and select Apply.
Automatic tuning options on a server are applied to all databases on this server. By default, all databases inherit configuration from their parent server, but this can be overridden and specified for each database individually.
REST API
Find out more about using REST API to enable Automatic tuning on a server, see SQL Server Automatic tuning UPDATE and GET HTTP methods.
Enable automatic tuning on an individual database
The Azure SQL Database enables you to individually specify the automatic tuning configuration for each database. On the database level you can choose to inherit automatic tuning configuration from the parent server, 'Azure Defaults' or not to inherit the configuration. Azure Defaults are set to FORCE_LAST_GOOD_PLAN is enabled, CREATE_INDEX is enabled, and DROP_INDEX is disabled.
Tip
The general recommendation is to manage the automatic tuning configuration at server level so the same configuration settings can be applied on every database automatically. Configure automatic tuning on an individual database only if you need that database to have different settings than others inheriting settings from the same server.
Azure portal
To enable automatic tuning on a single database, navigate to the database in Azure portal and select Automatic tuning.
Individual automatic tuning settings can be separately configured for each database. You can manually configure an individual automatic tuning option, or specify that an option inherits its settings from the server.
Please note that DROP_INDEX option at this time is not compatible with applications using partition switching and index hints and should not be enabled in these cases.
Once you have selected your desired configuration, click Apply.
Rest API
Find out more about using REST API to enable Automatic tuning on a single database, see SQL Database Automatic tuning UPDATE and GET HTTP methods.
T-SQL
To enable automatic tuning on a single database via T-SQL, connect to the database and execute the following query:
Setting automatic tuning to AUTO will apply Azure Defaults. Setting it to INHERIT, automatic tuning configuration will be inherited from the parent server. Choosing CUSTOM, you will need to manually configure automatic tuning.
To configure individual automatic tuning options via T-SQL, connect to the database and execute the query such as this one:
Setting the individual tuning option to ON, will override any setting that database inherited and enable the tuning option. Setting it to OFF, will also override any setting that database inherited and disable the tuning option. Automatic tuning option, for which DEFAULT is specified, will inherit the automatic tuning configuration from the server level settings.
Important
In case of active geo-replication, Automatic tuning needs to be configured on the primary database only. Automatically applied tuning actions, such are for example index create or delete will be automatically replicated to the read-only secondary. Attempting to enable Automatic tuning via T-SQL on the read-only secondary will result in a failure as having a different tuning configuration on the read-only secondary is unsupported.
Find our more abut T-SQL options to configure Automatic tuning, see ALTER DATABASE SET Options (Transact-SQL) for SQL Database server.
Disabled by the system
Automatic tuning is monitoring all the actions it takes on the database and in some cases it can determine that automatic tuning can't properly work on the database. In this situation, tuning option will be disabled by the system. In most cases this happens because Query Store is not enabled or it's in read-only state on a specific database.
Permissions
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As automatic tuning is Azure feature, to use it you will need to use Azure's built-in RBAC roles. Using SQL Authentication only will not be sufficient to use the feature from Azure portal.
To use automatic tuning, the minimum required permission to grant to the user is Azure's built-in SQL DB contributor role. You can also consider using higher privilege roles such are SQL Server Contributor, Contributor and Owner. Mongodb linkedin.
Configure automatic tuning e-mail notifications
See automatic tuning e-mail notifications guide.
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Next steps
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- Read the Automatic tuning article to learn more about automatic tuning and how it can help you improve your performance.
- See Performance recommendations for an overview of Azure SQL Database performance recommendations.
- See Query Performance Insights to learn about viewing the performance impact of your top queries.