SQL Server 2016 introduce a new feature Live query statistics which allows us to view the real-time insights into query without needing to wait for the query to complete.
The live query plan displays the overall query progress and operator-level run-time execution statistics such as the number of rows produced, elapsed time, operator progress, etc.
Let’s see how it works.
I have opened the SSMS and write a sample query from Adventureworks databasse.
select a.* from HumanResources.Employee a cross apply HumanResources.Employee b

To view the live query execution plan, on the tools menu click the Live Query Statistics icon. Execute the query. The live query plan displays the execution plan as below

You can also highlight the query and right click and select “Include Live Query Statistics”

Another way of selecting the live query plan is to use activity monitor.

When you specify Include Live Query Statistics information it automatically enables statistics profile infrastructure for the current query session.
There are two other ways to enable the statistics infrastructure which can be used to view the live query statistics from other sessions (such as from Activity Monitor).
- Execute
SET STATISTICS XML ON;
or SET STATISTICS PROFILE ON;
in the target session.
- Enable the query_post_execution_showplan extended event. This is a server wide setting that enable live query statistics on all sessions.
Note: This feature is available beginning with SQL Server 2016 Management Studio, however it can work with SQL Server 2014.
That’s all about Live Query Statistics
Cheers
Hope you like the post!
Ramasankar Molleti
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Published by Ramasankar
Hi. I’m Ramasankar Molleti.
I’m a passionate IT professional with over 14 years of experience on providing solutions for customers who are looking on cloud computing, Database Migration, Development, and Big Data. I love learning new technologies and share my knowledge to community.
I am currently working as Sr Cloud Architect with focus on Cloud Infrastructure, Big Data. I work with developers to architect, build, and manage cloud infrastructure, and services.
I have deeep knowledge and experience on working with various database platforms such as MS SQL Server, PostgeSQL, Oracle, MongoDB, Redshift, Dyanamodb, Amazon Aurora.
I worked as Database Engineer, Database Administrator, BI Developer and successfully transit myself into Cloud Architect with focus on Cloud infranstructure and Big Data.
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