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Home 2017 February SQL Server 2016: TempDB enhancement – by default turn on trace flags 1117 and 1118

SQL Server 2016: TempDB enhancement – by default turn on trace flags 1117 and 1118

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I am exploring SQL Server 2016 and every time I am getting something new and effective enhancements those added in SQL Server 2016.

Whenever you are searching for TempDB optimization tips, you can find one note for trace flags 1117 and 1118 which are for Allocations and Auto Growth.

You can use trace flag 1117 – When growing a data file grow all files at the same time, so they remain the same size, reducing allocation contention points.
You can use trace flag 1118 – When doing allocations for user tables always allocate full extents. It reduces contention of mixed extent allocations.

Eariler, you can turn on these trace flags at server level which impacts to other databases as well.
And now the great enhancement by SQL Server 2016 is, it enables these flags by default for TempDB and customize for other user databases.

In the next post, You can find about How to enable trace flag 1117 and 1118 on user databases.

Feb 12, 2017Anvesh Patel
PostgreSQL: Find a Table location using pg_relation_filepathSQL Server 2016: How to enable trace flag 1117 and flag 1118 on Database
Anvesh Patel
Anvesh Patel

Database Engineer

February 12, 2017 SQL ServerAnvesh Patel, auto growth, database, database research and development, dbrnd, extent allocation, SQL Query, SQL Server, SQL Server 2016, SQL Server Administrator, SQL Server Error, SQL Server Monitoring, SQL Server Performance Tuning, SQL Server Programming, SQL Server Tips and Tricks, TempDB, trace flag 1117, trace flag 1118, 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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