Azure Sql Auto-tuning

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  1. Sql Server Automatic Tuning
  2. Azure Sql Auto Tuning
  3. Azure Sql Managed Instance Auto Tuning
  4. Azure Sql Database Auto Tuning
  5. Azure Sql Auto-tuning Download
  6. Azure Sql Auto Tuning

Query tuning and hinting The query optimizer in Azure SQL Database is similar to the traditional SQL Server query optimizer. Most of the best practices for tuning queries and understanding the reasoning model limitations for the query optimizer also apply to Azure SQL Database. Nov 01, 2017 Azure SQL Database Automatic Tuning – Questions Answered Posted on November 1, 2017 by blobeater I used to be on the fence regarding whether or not Automatic Tuning should be on as the default when creating Azure SQL Databases.

This Windows Forms sample application built on .NET Framework 4.6 demonstrates the benefits of using SQL Server Automatic Tuning. You can compare the performance difference between enabling Automatic Tuning or leaveing it disabled, while running a workload that introduces a parameter sniffing regression.

Oct 31, 2017  Veljko Vasic demos the built-in automatic tuning intelligence mechanism in Azure SQL Database to show Seth Juarez how it can automatically tune and improve query performance by dynamically adapting th. May 16, 2016 Azure SQL Database makes performance tuning and troubleshooting easier and faster than ever before, helping you to deliver great performance for your database applications while saving you time and effort in the process. SQL Database provides its users with: Tailor-made performance tuning recommendations based on historical database usage. Feb 14, 2020  Apply recommendations through T-SQL Script; Steps to Auto-Tune the Azure SQL database. We can enable the auto-tuning option either through the Azure portal or T-SQL. In Azure Portal, Navigate to Auto Tuning in Azure SQL database service.

Automatic

About this sample

  • Latest release:in-memory-oltp-perf-demo-v1.0
  • Applies to: SQL Server 2017 (or higher), Azure SQL Database
  • Key features: Automatic Tuning
  • Workload: Reporting
  • Programming Language: T-SQL, C#
  • Authors: Pedro Lopes

Running this sample

  1. Before you can run this sample, you must have the following perquisites:

    • SQL Server 2017 (or higher)
    • Visual Studio 2015 (or higher) with the latest SSDT installed.

  2. Clone this repository using Git for Windows (http://www.git-scm.com/), or download the zip file.

  3. From Visual Studio, open the AutoTuningDemo.sln file from the root directory.

  4. In Visual Studio Build menu, select Build Solution (or Press F6).

  5. In the App.config file, located in the project root, find the WideWorldImporters app setting and edit the connectionString if needed. Currently it is configured to connect to the local default SQL Server Instance using Integrated Security.

  6. Publish the WideWorldImporters Database

  • Right click on the WideWorldImporters SQL Server Database Project and Select Publish
  • Click Edit.. to choose your connection string
  • Click Publish
  • Note: For publishing to Azure SQL you need to change the DB project target platform to Microsoft Azure SQL Database V12

  1. Build the app for release and run it. Do not use the debugger, as that will slow down the app.

  2. Start the workload with the Start button, and run for a while to show perf profile. Then press the Regress button to introduce the problem and observe the throughput going down.

  3. Run for a while to show perf profile of regressed workload, and then press the Auto Tuning button and observe the system going back to a previously good plan captured by Query Store, and throughput is restored to initial Baseline status. You can tweak aspects of the workload (e.g., number of threads) through the configuration form accessed using the 'Options' menu. No need to recompile or restart the application.

  4. Publish the database project to the same database – the tool will take care of making the necessary changes.

When deploying to Azure SQL Database, make sure to run the app in an Azure VM in the same region as the database.

For any feedback on the sample, contact: sqlserversamples@microsoft.com

About the code

The code included in this sample is not intended to be a set of best practices on how to build scalable enterprise grade applications. This is beyond the scope of this quick start sample.

More information

  • [Automatic tuning] (https://docs.microsoft.com/en-us/sql/relational-databases/automatic-tuning/automatic-tuning)
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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

Sql Server Automatic Tuning

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.

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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.

Azure Sql Auto Tuning

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.

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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

Azure Sql Managed Instance Auto Tuning

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.

Azure Sql Database Auto Tuning

Configure automatic tuning e-mail notifications

Azure Sql Auto-tuning Download

See automatic tuning e-mail notifications guide.

Azure Sql Auto Tuning

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.