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Some useful tips for using XML in SQL Server 2019

Some useful tips for using XML in SQL Server 2019 Consider replacing OPENXML with the XML nodes() function. The nodes() function is useful when you want to shred an xml data type instance into relational data. The result of the nodes() function is a rowset that contains logical copies of the original XML instances. Use CROSS APPLY to get data...

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Some tips to use System Monitor with SQL Server 2017

Some tips to use System Monitor with SQL Server 2017 System Monitor works on Windows operating systems and can be used to monitor an instance of SQL Server 2017. The difference between SQL Server Profiler and System Monitor is that SQL Server Profiler monitors Database Engine events, whereas System Monitor monitors resource usage associated with server processes. To start System...

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SQL Server 2017 Profiler Optimization Tips

SQL Server 2017 Profiler Optimization Tips SQL Server 2017 Profiler is a graphical user interface for monitoring an instance of the Database Engine or Analysis Services. SQL Server Profiler allows to capture and save data about each event to a file or table to analyze later. In this article, you can find some helpful tips to performance tune and optimize...

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Tips to work with SQL Server 2017 alerts

Tips to work with SQL Server 2017 alerts SQL Server 2017 writes the events into the Windows Application log. SQL Server Agent checks the Windows application log for SQL Server events. When an event occurs, the SQL Server Agent checks if the appropriate alert exists and if so perform the defined response. Alerts can be used to execute a SQL...

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Tips for using SQL Server 2017 distributed queries

Tips for using SQL Server 2017 distributed queries Try to avoid using the TOP clause in the distributed queries. Because distributed queries that involve the TOP clause are never delegated to an OLE DB provider and are always evaluated locally, you should avoid using the TOP clause in the distributed queries to increase the local SQL Server performance. The first...

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Tips for using SQL Server 2017 Integration Services (Part 3)

Tips for using SQL Server 2017 Integration Services (Part 3) Use breakpoints when you debug the packages. SQL Server 2017 Integration Services provide the ability to set breakpoints on packages, containers, and task events. Using breakpoints can help you debug your packages and find potential problems during the testing before transferring to production environments. Consider deploying a cache file together...

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Tips for using SQL Server 2017 Integration Services (Part 2)

Tips for using SQL Server 2017 Integration Services (Part 2) Try to eliminate logging. Use logging during debugging and troubleshooting and eliminate unneeded logging when deploying completed packages to production. Use checkpoints to restart the package from the failed task instead of having to rerun the whole package. In SQL Server 2017 Integration Services a package that fails during execution...

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Tips for using SQL Server 2017 Integration Services (Part 1)

Tips for using SQL Server 2017 Integration Services (Part 1) If you need to distribute data rows to multiple downstream data flow components, you can use the Conditional Split and Multicast transformation. This transformation was first added in SQL Server 2005 Integration Services and make easy for developers to build packages with complex data flow without writing any code. Try...

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Some useful SQL Server 2017 Transact-SQL optimization tips (Part 2)

Some useful SQL Server 2017 Transact-SQL optimization tips (Part 2) Try to avoid using the DISTINCT clause, whenever possible. The DISTINCT clause should only be used if you know that duplicate returned rows are a possibility. Because using the DISTINCT clause will result in some performance degradation, you should use this clause only when it is necessary. Use table variables...

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Some useful SQL Server 2017 Transact-SQL optimization tips (Part 1)

Some useful SQL Server 2017 Transact-SQL optimization tips (Part 1) Try to avoid using SQL Server cursors, whenever possible. SQL Server cursors can result in some performance degradation in comparison with select statements. Try to use correlated subquery or derived tables, if you need to perform row-by-row operations. Encapsulate your Transact-SQL code inside a transaction when you modify database, not...

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