Change Tracking Cleanup – Part 2

In the first part of my Change Tracking Cleanup post, I talked about how automatic and manual cleanup happens in SQL Server. In this post, we will explore a bit more in depth on how the cleanup actually works with the help of some metadata from an actual Change Tracking implementation. As mentioned in my…

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Columnstore Index Performance: SQL Server 2016 – Window Aggregates in BatchMode

SQL product team has made significant implements in columnstore index functionality, supportability and performance during SQL Server 2016 based on the feedback from customers. This blog series focuses on the performance improvements done as part of SQL Server 2016. Please refer to one of the blogs No performance cliff for details on the database used for…

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Columnstore Index Performance: SQL Server 2016 – String Predicate Pushdown

SQL product team has made significant implements in columnstore index functionality, supportability and performance during SQL Server 2016 based on the feedback from customers. This blog series focuses on the performance improvements done as part of SQL Server 2016. Please refer to one of the previous blogs No performance cliff for details. The topic of this…

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Columnstore Index Performance: SQL Server 2016 – Aggregate Pushdown

SQL product team has made significant implements in columnstore index functionality, supportability and performance during SQL Server 2016 based on the feedback from customers. This blog series focuses on the performance improvements done as part of SQL Server 2016. Please refer to previous blog No performance cliff  in this series for details. Aggregates are a very common construct…

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Columnstore Index Performance: SQL Server 2016 – No Performance Cliff

SQL product team has made significant improvements in columnstore index functionality, supportability and performance during SQL Server 2016 based on the feedback from customers. This blog series focuses on the performance improvements done as part of SQL Server 2016. Customers will get these benefits automatically with no changes to the application when they upgrade the application…

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Columnstore Index Performance: SQL Server 2016 – Multiple Aggregates

SQL product team has made significant improvements in columnstore index functionality, supportability and performance during SQL Server 2016 based on the feedback from customers. This blog series focuses on the performance improvements done as part of SQL Server 2016. Customers will get these benefits automatically with no changes to the application when they upgrade the application…

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MSSQLTIGER and January 2017 PASS Virtual Conferences

In 2016, The Tiger team presented multiple session on the PASS Virtual Chapters on new features, In-memory technologies, query tuning, high availability, disaster recovery, monitoring, security, powershell and SQL performance base lining solutions enabling and empowering DBAs, developers, DevOps, architects and SQL community to be successful in their role. In 2017, the Tiger team is committed…


Columnstore Index Performance: BatchMode Execution

In the blog Industry leading analtyics query performance,  we had looked into how SQL Server delivers superior analytics query performance with columnstore index. Besides significant reduction in IO, the analytics queries get order of magnitude better performance boost with BatchMode processing, a unique value proposition in SQL Server. The basic idea of batch mode processing is…

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SQL Server Performance Dashboard Reports unleashed for Enterprise Monitoring !!!

SQL Server 2012 Performance Dashboard Reports is one of most popular SQL Server monitoring solution for customers and SQL community leveraging dynamic management views (DMVs) for monitoring and reporting and available at no cost to consumers. SQL Server Performance Dashboard Reports are available as a set of custom reports in SQL Server Management Studio (SSMS)…


Columnstore Index Performance: Rowgroup Elimination

As described in Column Elimination , when querying columnstore index, only the referenced columns are fetched. This can potentially reduce IO/memory footprint of analytics queries significantly and speed up the query performance. While this is good, the other challenge with columnstore index is how to limit the number of rows to be read to process…

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