Book Image

Microsoft SQL Server 2012 Performance Tuning Cookbook

Book Image

Microsoft SQL Server 2012 Performance Tuning Cookbook

Overview of this book

As a DBA you must have encountered a slow running application on SQL Server, but there are various factors that could be affecting the performance. If you find yourself in this situation, don't wait, pick up this book and start working towards improving performance of your SQL Server 2012. SQL Server 2012 Performance Tuning Cookbook is divided into three major parts -- Performance Monitoring, Performance Tuning, and Performance Management--that are mandatory to deal with performance in any capacity. SQL Server 2012 Performance Tuning Cookbook offers a great way to manage performance with effective, concise, and practical recipes. You will learn how to diagnose performance issues, fix them, and take precaution to avoid common mistakes. Each recipe given in this book is an individual task that will address different performance aspects to take your SQL Server's Performance to a higher level.The first part of this book covers Monitoring with SQL Server Profiler, DTA, System statistical function, SPs with DBCC commands, Resource Monitor & Reliability, and Performance Monitor and Execution Plan. The second part of the book offers Execution Plan, Dynamic Management Views, and Dynamic Management Functions, SQL Server Cache and Stored Procedure Recompilations, Indexes, Important ways to write effective TSQL, Statistics, Table and Index Partitioning, Advanced Query tuning with Query Hints and Plan Guide, Dealing with Locking, Blocking and Deadlocking and Configuring SQL Server for optimization to boost performance.The third and final part gives you knowledge of performance management with help of Policy Based Management and Management with Resource Governor.
Table of Contents (28 chapters)
Microsoft SQL Server 2012 Performance Tuning Cookbook
Credits
About the Authors
Acknowledgement
Acknowledgement
About the Reviewers
www.PacktPub.com
Preface
Index

Deleting and loading bulk data by splitting, merging, and switching partitions (sliding window)


Many times there is a requirement to archive or delete a large amount of data and load a large amount of new data into a large table periodically, based on the date and time column. Let's say for example, you regularly need to delete a large amount of data that belongs to the oldest quarter. At the same time, you want to load a large amount of data into an existing table. With billions of rows in a table, this operation is not trivial and can take hours. However, if you implement table partitioning based on the date and time column, you can perform this task very efficiently.

In this recipe, we will learn how to efficiently delete a large amount of data belonging to one quarter of the year, and load a large amount of data for a whole quarter into an existing table by splitting, merging, and switching partitions.

Assume that we need to store data on a quarterly basis and that data belonging to each...