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Home 2018 January SQL Server 2016: Introduced MAXDOP with DBCC Commands

SQL Server 2016: Introduced MAXDOP with DBCC Commands

SQLServer Parallel Processing

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SQL Server 2016 enhanced the use of DBCC Commands by adding support of MAXDOP.

A Max Degree of Parallelism (MAXDOP) is used to define some CPU threads at Server Configuration Level as well as at Query Execution Level.

I have read different SQL Forums, and Blogs about the MAXDOP and everyone is saying that the result of MAXDOP is a different basis on your system configuration.

Yes, it is true 100%. Before using MAXDOP you should check your CPU configuration and load of SQL Server.
Once you have defined MAXDOP, you must check the query execution plan and accordingly you should decide the value of MAXDOP.

We are running DBCC CHECKDB for repairing the database related issues. If your database size is huge, it requires more CPU/IO.
Now you can add MAXDOP to optimize the task of DBCC commands.

DBCC with MAXDOP:

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DBCC CHECKDB (AdventureWorks2016CTP3)
WITH MAXDOP = 2;
 
DBCC CHECKTABLE ('Person.AddressType')
WITH MAXDOP = 2;

Related Article:

SQL Server: Monitor and Manage Database Corruption

Jan 5, 2018Anvesh Patel
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Anvesh Patel
Anvesh Patel

Database Engineer

ImageJanuary 5, 2018 SQL ServerAnvesh Patel, database, Database Crashed, database research and development, DBCC CHECKDB, DBCC CHECKTABLE, dbrnd, Max Degree of Parallelism, MAXDOP, SQL Query, SQL Server, SQL Server Administrator, SQL Server Monitoring, SQL Server Performance Tunning, SQL Server Tips and Tricks, TSQL
About Me!

I'm Anvesh Patel, a Database Engineer certified by Oracle and IBM. I'm working as a Database Architect, Database Optimizer, Database Administrator, Database Developer. Providing the best articles and solutions for different problems in the best manner through my blogs is my passion. I have more than six years of experience with various RDBMS products like MSSQL Server, PostgreSQL, MySQL, Greenplum and currently learning and doing research on BIGData and NoSQL technology. -- Hyderabad, India.

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