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Once we go pass some of the initial bottlenecks which throttles the workload on lower version, it might expose you to the cracks or some other choking point as you continue to stress test and increase the concurrency.In most workload, after a certain tipping point, the response time again starts to suffer due to tempdb allocation or metadata contention or log flushes.In SQL Server 2016/2017, we can overcome this and enable workload to scale further with memory by converting temp tables, table variables for some of the high executed stored procedures and high touch tables to in-memory.The right candidates (tables or stored procedure) for in-memory tables can be discovered easily using the Transaction Performance Analysis Overview report in SSMS.Andy Baron November 2006 Applies to: Microsoft SQL Server 2005 Summary: One way to create applications that use Microsoft Office Access for creating user interfaces and that use Microsoft SQL Server for data storage is to link Office Access tables to SQL Server tables.This is the type of application created by using the SQL Server Migration Assistant for Office Access.As explained above, it makes more sense to upgrade your SQL Server first before upgrading your hardware since upgrading SQL Server and OS itself may provide better scale out of the box even if the hardware remains the same.
Next, we wanted to test if upgrading to SQL Server 2016 solves the original scalability issue which the application originally experienced.
SQL Server Upgrade Advisor gave multiple reasons to not upgrade while the team has done great job with DMA to help identify blockers for upgrade and also provide guidance on how to overcome them.
In addition, DMA assesses the databases against multiple compatibility levels in single run to provide a recommendation on which DBCompat would be a right fit for your database application.
We ran some application performance and stress tests adding more workload (22-25K Batch Requests/sec) first on SQL 2008/Windows 2008 R2 and later upgraded to SQL 2016/Windows Server 2016 to perform A/B testing keeping the hardware and application unchanged.
Following are the results of the A/B testing of application for the same workload running against SQL 2016 v/s SQL 2008.The customer’s business was growing and the concurrent workload on their server increased such that the application started to see poor response time and timeouts.They had established a performance baseline with around 16-18K Batch Requests/ sec and observed when the workload exceeds 19-20K Batch Requests/sec, the application starts to see poor response time and timeouts.We tested and identified the following configuration in SQL Server 2016 gave us the best results from performance, scale and supportability perspective.