SQL Server Performance Root Cause Analysis in 10 Minutes
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This document discusses a presentation by John Sterrett on SQL Server performance root cause analysis. The presentation covers identifying bottlenecks like memory, disk, CPU and locking issues that can cause SQL Server performance problems. It also discusses scripts available from Sterrett's website that can help analyze what is running on SQL Server, historical performance issues and if storage could be slowing things down. The presentation aims to help administrators troubleshoot SQL Server performance issues in 10 minutes.
SQL Server Performance Root Cause Analysis in 10 Minutes
- 1. SQL Server Performance Root Cause Analysis in 10 Minutes John Sterrett - SQL Database Admin Sr. Advisor Twitter: @JohnSterrett Blog: http://johnsterrett.com 1 Dell - Restricted - Confidential
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- 3. Experience has come to PASS. Innovation has come to PASS. Leadership has come to PASS. Dell – Leading the way in solutions for SQL Server. 3 Dell - Restricted - Confidential
- 4. Meet the Bottlenecks… MEMORY NETWORK 4 Dell - Restricted - Confidential DISK (SPINDLES) CPU LOCKING, BLOCKING & DEADLOCKS
- 5. Why are we waiting? 5 Dell - Restricted - Confidential
- 6. What caused our waiting? 6 Dell - Restricted - Confidential
- 7. What is running? 7 Dell - Restricted - Confidential
- 8. Is our storage slowing us down? 8 Dell - Restricted - Confidential
- 9. Historically, what slows us down? 9 Dell - Restricted - Confidential
- 10. Where do I get these scripts? http://JohnSterrett.com/Go/PASSDellBooth 10 Dell - Restricted - Confidential
- 11. You Depend on SQL Server Your organization relies on SQL Server to support its applications, customers, and employees. But in order for you to Maintain productivity Control costs Protect data your SQL Server environment must be up and running, effectively supported, and secure. 11 Confidential Dell - Restricted - Confidential Global Marketing
- 12. You Depend on SQL Server With industry-leading Solutions from Dell, you can: Simplify performance management Accelerate backup and recovery and reduce storage costs Centralize administration Manage and monitor single and multiple database platforms Collaborate across teams Enable Business Intelligence - Easily access, prepare, analyze, and share data from any source 12 Confidential Dell - Restricted - Confidential Global Marketing
- 13. Questions? Scripts: http://JohnSterrett.com/Go/PASSDellBooth Blog: http://JohnSterrett.com/ Twitter: @JohnSterrett LinkedIn: http://linkedin.com/in/johnsterrett 13 Dell - Restricted - Confidential
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Editor's Notes
- #3: FoglightSpotlightToadPAQSDWSQL OptimizerLitespeedBI Suite
- #4: Maintain data history, even if the source transaction systems do not. Integrate data from multiple source systems, enabling a central view across the enterprise. This benefit is always valuable, but particularly so when the organization has grown by merger. Improve data quality, by providing consistent codes and descriptions, flagging or even fixing bad data. Present the organization's information consistently. Provide a single common data model for all data of interest regardless of the data's source. Restructure the data so that it makes sense to the business users. Restructure the data so that it delivers excellent query performance, even for complex analytic queries, without impacting the operational systems. Add value to operational business applications, notably customer relationship management (CRM) systems.
- #5: Maintain data history, even if the source transaction systems do not. Integrate data from multiple source systems, enabling a central view across the enterprise. This benefit is always valuable, but particularly so when the organization has grown by merger. Improve data quality, by providing consistent codes and descriptions, flagging or even fixing bad data. Present the organization's information consistently. Provide a single common data model for all data of interest regardless of the data's source. Restructure the data so that it makes sense to the business users. Restructure the data so that it delivers excellent query performance, even for complex analytic queries, without impacting the operational systems. Add value to operational business applications, notably customer relationship management (CRM) systems.
- #6: Maintain data history, even if the source transaction systems do not. Integrate data from multiple source systems, enabling a central view across the enterprise. This benefit is always valuable, but particularly so when the organization has grown by merger. Improve data quality, by providing consistent codes and descriptions, flagging or even fixing bad data. Present the organization's information consistently. Provide a single common data model for all data of interest regardless of the data's source. Restructure the data so that it makes sense to the business users. Restructure the data so that it delivers excellent query performance, even for complex analytic queries, without impacting the operational systems. Add value to operational business applications, notably customer relationship management (CRM) systems.
- #7: Maintain data history, even if the source transaction systems do not. Integrate data from multiple source systems, enabling a central view across the enterprise. This benefit is always valuable, but particularly so when the organization has grown by merger. Improve data quality, by providing consistent codes and descriptions, flagging or even fixing bad data. Present the organization's information consistently. Provide a single common data model for all data of interest regardless of the data's source. Restructure the data so that it makes sense to the business users. Restructure the data so that it delivers excellent query performance, even for complex analytic queries, without impacting the operational systems. Add value to operational business applications, notably customer relationship management (CRM) systems.
- #8: Maintain data history, even if the source transaction systems do not. Integrate data from multiple source systems, enabling a central view across the enterprise. This benefit is always valuable, but particularly so when the organization has grown by merger. Improve data quality, by providing consistent codes and descriptions, flagging or even fixing bad data. Present the organization's information consistently. Provide a single common data model for all data of interest regardless of the data's source. Restructure the data so that it makes sense to the business users. Restructure the data so that it delivers excellent query performance, even for complex analytic queries, without impacting the operational systems. Add value to operational business applications, notably customer relationship management (CRM) systems.
- #9: Maintain data history, even if the source transaction systems do not. Integrate data from multiple source systems, enabling a central view across the enterprise. This benefit is always valuable, but particularly so when the organization has grown by merger. Improve data quality, by providing consistent codes and descriptions, flagging or even fixing bad data. Present the organization's information consistently. Provide a single common data model for all data of interest regardless of the data's source. Restructure the data so that it makes sense to the business users. Restructure the data so that it delivers excellent query performance, even for complex analytic queries, without impacting the operational systems. Add value to operational business applications, notably customer relationship management (CRM) systems.
- #10: Maintain data history, even if the source transaction systems do not. Integrate data from multiple source systems, enabling a central view across the enterprise. This benefit is always valuable, but particularly so when the organization has grown by merger. Improve data quality, by providing consistent codes and descriptions, flagging or even fixing bad data. Present the organization's information consistently. Provide a single common data model for all data of interest regardless of the data's source. Restructure the data so that it makes sense to the business users. Restructure the data so that it delivers excellent query performance, even for complex analytic queries, without impacting the operational systems. Add value to operational business applications, notably customer relationship management (CRM) systems.
- #12: Simplify – maybe 2 slides
- #14: Maintain data history, even if the source transaction systems do not. Integrate data from multiple source systems, enabling a central view across the enterprise. This benefit is always valuable, but particularly so when the organization has grown by merger. Improve data quality, by providing consistent codes and descriptions, flagging or even fixing bad data. Present the organization's information consistently. Provide a single common data model for all data of interest regardless of the data's source. Restructure the data so that it makes sense to the business users. Restructure the data so that it delivers excellent query performance, even for complex analytic queries, without impacting the operational systems. Add value to operational business applications, notably customer relationship management (CRM) systems.