Auto Tuning Index Azure Database Report Example

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May 16, 2017  Automatic index management in Azure SQL database. Azure SQL Database has intelligent automatic tuning mechanism that takes care of your indexes. If you cannot identify and monitor your indexes, you can let the Azure SQL database do index management for you, tune your database, and ensure that your data structures dynamically adapts to your. M No No Auto Tuning Options (partially enabled – create indexes only). Its recommended that all three SQL Azure tuning options are enabled to allow for plan optimisation, index creation and index deletion. The Auto Tuning advisor uses machine learning to determine the best optimisations and implements. Alter database current set automatictuning (forcelastgoodplan = on, createindex = default, dropindex = off) The forcelastgoodplan flag will work in SQL Server 2017 as well. This is what recommendations look like in Azure (I took an image from MSDN as I didn’t have any good examples to show you from my own environment). Azure SQL Database automatic tuning provides peak performance and stable workloads through continuous performance tuning based on AI and machine learning. Automatic tuning is a fully managed intelligent performance service that uses built-in intelligence to continuously monitor queries executed on a. Jan 31, 2017  Azure SQL Database autotuning is not just a wizard SQL Server provides custom recommendations by using the Azure SQL Database Advisor, enabling maximal performance. The SQL Database Advisor makes recommendations for creating and dropping indexes, parameterizing queries, and fixing schema issues. I've used the Automation Script blade on the Azure portal to get these information: Sql server level. ALTER DATABASE current SET AUTOMATICTUNING = AUTO INHERIT CUSTOM Choosing AUTO you will get a default set of options - CREATEINDEX and FORCELASTGOODPLAN enabled. Choosing INHERIT you will inherit the settings from the. Dec 26, 2017 Configure Azure SQL Server Automatic Tuning with PowerShell One thing I’ve found with configuring Azure services using automation (e.g. Azure PowerShell Modules, Azure Resource Manager template ) is that the automation features are a little bit behind the feature set.

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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.

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:

  • 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.

Report

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

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.

Configure automatic tuning e-mail notifications

See automatic tuning e-mail notifications guide.

Next steps

  • 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.
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Azure SQL Database automatic tuning provides peak performance and stable workloads through continuous performance tuning based on AI and machine learning.

Automatic tuning is a fully managed intelligent performance service that uses built-in intelligence to continuously monitor queries executed on a database, and it automatically improves their performance. This is achieved through dynamically adapting database to the changing workloads and applying tuning recommendations. Automatic tuning learns horizontally from all databases on Azure through AI and it dynamically improves its tuning actions. The longer a database runs with automatic tuning on, the better it performs.

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Azure SQL Database automatic tuning might be one of the most important features that you can enable to provide stable and peak performing database workloads.

What can automatic tuning do for you

  • Automated performance tuning of Azure SQL databases
  • Automated verification of performance gains
  • Automated rollback and self-correction
  • Tuning history
  • Tuning action T-SQL scripts for manual deployments
  • Proactive workload performance monitoring
  • Scale out capability on hundreds of thousands of databases
  • Positive impact to DevOps resources and the total cost of ownership

Safe, Reliable, and Proven

Tuning operations applied to databases in Azure SQL Database are fully safe for the performance of your most intense workloads. The system has been designed with care not to interfere with the user workloads. Automated tuning recommendations are applied only at the times of a low utilization. The system can also temporarily disable automatic tuning operations to protect the workload performance. In such case, 'Disabled by the system' message will be shown in Azure portal. Automatic tuning regards workloads with the highest resource priority. Autotune vs no autotune lael hansen.

Automatic tuning mechanisms are mature and have been perfected on several million databases running on Azure. Automated tuning operations applied are verified automatically to ensure there is a positive improvement to the workload performance. Regressed performance recommendations are dynamically detected and promptly reverted. Through the tuning history recorded, there exists a clear trace of tuning improvements made to each Azure SQL Database.

Azure SQL Database automatic tuning is sharing its core logic with the SQL Server automatic tuning engine. For additional technical information on the built-in intelligence mechanism, see SQL Server automatic tuning.

For an overview of how automatic tuning works and for typical usage scenarios, see the embedded video:

Enable automatic tuning

You can enable automatic tuning for single and pooled databases in the Azure portal or using the ALTER DATABASE T-SQL statement. You enable automatic tuning for instance databases in a managed instance deployment using the ALTER DATABASE T-SQL statement.

Automatic tuning options

Automatic tuning options available in Azure SQL Database are:

Automatic tuning optionSingle database and pooled database supportInstance database support
CREATE INDEX - Identifies indexes that may improve performance of your workload, creates indexes, and automatically verifies that performance of queries has improved.YesNo
DROP INDEX - Identifies redundant and duplicate indexes daily, except for unique indexes, and indexes that were not used for a long time (>90 days). Please note that this option is not compatible with applications using partition switching and index hints. Dropping unused indexes is not supported for Premium and Business Critical service tiers.YesNo
FORCE LAST GOOD PLAN (automatic plan correction) - Identifies SQL queries using execution plan that is slower than the previous good plan, and queries using the last known good plan instead of the regressed plan.YesYes

Automatic tuning for single and pooled databases

Automatic tuning for single and pooled databases uses the CREATE INDEX, DROP INDEX, and FORCE LAST GOOD PLAN database advisor recommendations to optimize your database performance. For more information, see Database advisor recommendations in the Azure portal, in PowerShell, and in the REST API.

You can either manually apply tuning recommendations using the Azure portal or you can let automatic tuning autonomously apply tuning recommendations for you. The benefits of letting the system autonomously apply tuning recommendations for you is that it automatically validates there exists a positive gain to the workload performance, and if there is no significant performance improvement detected, it will automatically revert the tuning recommendation. Please note that in case of queries affected by tuning recommendations that are not executed frequently, the validation phase can take up to 72 hrs by design.

In case you are applying tuning recommendations through T-SQL, the automatic performance validation, and reversal mechanisms are not available. Recommendations applied in such way will remain active and shown in the list of tuning recommendations for 24-48 hrs. before the system automatically withdraws them. If you would like to remove a recommendation sooner, you can discard it from Azure portal.

Automatic tuning options can be independently enabled or disabled per database, or they can be configured on SQL Database servers and applied on every database that inherits settings from the server. SQL Database servers can inherit Azure defaults for automatic tuning settings. Azure defaults at this time are set to 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:

  • 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).

Auto Tuning Index Azure Database Report Example In Excel

Configuring automatic tuning options on a server and inheriting settings for databases belonging to the parent server is a recommended method for configuring automatic tuning as it simplifies management of automatic tuning options for a large number of databases.

To learn about building email notifications for automatic tuning recommendations, see Email notifications for automatic tuning.

Automatic tuning for instance databases

Automatic tuning for instance databases in a managed instance deployment only supports FORCE LAST GOOD PLAN. For more information about configuring automatic tuning options through T-SQL, see Automatic tuning introduces automatic plan correction and Automatic plan correction.

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Next steps

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  • To learn about built-in intelligence used in automatic tuning, see Artificial Intelligence tunes Azure SQL databases.
  • To learn how automatic tuning works under the hood, see Automatically indexing millions of databases in Microsoft Azure SQL Database.