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To configure intelligent query processing (IQP) in Microsoft Azure SQL Solutions, you can leverage various features and settings that enhance the performance and compatibility of your database queries. IQP introduces advanced query processing capabilities, allowing you to optimize query performance, improve reliability, and simplify query tuning.

1. Enable the Automatic Tuning feature:

– Navigate to your Azure SQL database in the Azure portal.

– Under the “Intelligent Performance” section, select “Automatic Tuning.”

– Enable the “Automatic tuning” option to allow the system to apply performance recommendations automatically.

2. Enable the Database Compatibility level:

– In the Azure portal, go to your Azure SQL database.

– Navigate to the “SQL databases” section and select your database.

– Go to the “Overview” section and click on “Configure”.

– Under “Settings,” choose “Compatibility level.”

– Select the appropriate compatibility level for your database (e.g., SQL Server 2019).

3. Utilize the Adaptive Query Processing feature:

– Adaptive Join: Helps optimize join queries by dynamically selecting the join algorithm based on actual data.

SELECT *
FROM Table1
INNER JOIN Table2
ON Table1.Column = Table2.Column
OPTION (USE HINT('ENABLE_ADP'));

– Batch Mode Memory Grant Feedback: Adjusts memory allocation for query execution based on actual data.

SELECT *
FROM Table
WHERE Column = 'Value'
OPTION (USE HINT('ENABLE_QUICK_MODE'));

– Interleaved Execution: Enables efficient execution plans for queries with interleaved execution points.

SELECT *
FROM Table
WHERE Column1 = 'Value1' OR Column2 = 'Value2'
OPTION (USE HINT('ENABLE_INTERLEAVED_EXECUTION'));

4. Enable Query Store:

– Query Store captures query performance information and stores it for analysis.

– In the Azure portal, navigate to your Azure SQL database.

– Under the “Intelligent Performance” section, select “Query Store.”

– Enable the “Query Store” option to start collecting query performance data.

5. Update Statistics:

– Keeping statistics up-to-date ensures the query optimizer can generate efficient execution plans.

– Run the following command to update statistics:

UPDATE STATISTICS TableName;

6. Use Intelligent Insights:

– Intelligent Insights provides intelligent recommendations to improve query performance.

– In the Azure portal, go to your Azure SQL database.

– Under the “Intelligent Performance” section, select “Intelligent Insights.”

– Review the recommendations provided and apply appropriate changes.

By configuring intelligent query processing (IQP) using the features and settings mentioned above, you can optimize query performance, improve reliability, and simplify query tuning in your Azure SQL Solutions. Remember to monitor and analyze the performance of your queries regularly to ensure ongoing optimization.

Answer the Questions in Comment Section

Which intelligent query processing (IQP) feature introduces adaptive memory grant feedback?

a) Batch mode on rowstore
b) Table variable deferred compilation
c) Interleaved execution
d) Intelligent query processin
g

Correct answer: d) Intelligent query processing

True or False: Intelligent query processing (IQP) can be enabled at the database level and overridden at the query level.

Correct answer: True

Which of the following is an intelligent query processing (IQP) feature introduced in SQL Server 2019?

a) Scalar UDF inlining
b) Plan regression
c) Auto statistics update
d) Lock escalation

Correct answer: a) Scalar UDF inlining

True or False: Batch mode on rowstore is an intelligent query processing (IQP) feature that allows batch processing for rowstore indexes.

Correct answer: True

Which intelligent query processing (IQP) feature improves performance of queries that consume CPU resources?

a) Approximate query processing
b) Memory grant feedback
c) Batch mode on rowstore
d) Table variable deferred compilation

Correct answer: c) Batch mode on rowstore

True or False: Intelligent query processing (IQP) can be disabled at the database level to avoid any automatic query performance enhancements.

Correct answer: True

Which of the following is an intelligent query processing (IQP) feature that improves the performance of queries using table variables?

a) Interleaved execution
b) Approximate query processing
c) Memory grant feedback
d) Table variable deferred compilation

Correct answer: d) Table variable deferred compilation

True or False: Intelligent query processing (IQP) only applies to Azure SQL Database and not to SQL Server on-premises.

Correct answer: False

Which intelligent query processing (IQP) feature improves query performance by using interleaved execution of multi-statement table-valued functions?

a) Auto statistics update
b) Batch mode on rowstore
c) Interleaved execution
d) Plan regression

Correct answer: c) Interleaved execution

True or False: Memory grant feedback is an intelligent query processing (IQP) feature that dynamically adjusts memory grants for queries based on actual execution requirements.

Correct answer: True

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Michaela Vincent
9 months ago

Great post on IQP! Very helpful for DP-300 exam prep.

Niklas Saarinen
11 months ago

I appreciate the detailed explanation on configuring intelligent query processing in Azure SQL.

Duško Stevanović
9 months ago

How does IQP differ from traditional query optimization techniques?

Amber Harris
6 months ago

IQP uses adaptive techniques and features like adaptive joins and batch mode memory grant feedback to optimize queries dynamically.

Urban Stelter
1 year ago

This is a lifesaver for someone prepping for DP-300. Thanks!

Kayla Carroll
6 months ago

I have been struggling with parameter sensitivity in my queries. Does IQP help with that?

Diane Fisch
3 months ago
Reply to  Kayla Carroll

Yes, IQP includes the feature ‘Approximate Query Processing’, which is particularly useful for handling parameter sensitivity.

Florent Adam
11 months ago

Just what I needed for my DP-300 studies.

Anthony French
1 year ago

Thanks for sharing. This makes understanding IQP much easier.

Ece Abanuz
1 year ago

Can anyone share real-world scenarios where IQP has significantly improved performance?

Murat Fontai
8 months ago
Reply to  Ece Abanuz

In our organization, enabling IQP reduced query execution time by up to 50%. It’s particularly effective for complex, long-running queries.

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