SlideShare a Scribd company logo
Joel Oleson Sr. Product Architect Quest Software http://www.sharepointjoel.com @joeloleson Contributions: Mike Watson, Todd Klindt
Audience Poll ,[object Object],[object Object],[object Object],[object Object],[object Object]
Session Objectives And Takeaways ,[object Object],[object Object],[object Object],[object Object],[object Object]
SharePoint Databases  Overview
SharePoint Containment Hierarchy
Understanding SharePoint Databases
Understanding Configuration DB
Understanding Content DB
Understanding SSP DB - Search
Understanding SSP DB
 
Why is SQL that important? SQL Health = SharePoint Health! ,[object Object],[object Object],[object Object]
Database Disk I/O Demand Most Demand Medium  Demand Low  Demand * Except during backup and Indexing  + Except during Profile Import Temp Master Model Tlogs Search Config +SSP *Content..
Top Performance Killers ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
Scaling SQL 2.5TB SCALE OUT   2.5TB 2.5TB
Scalling SQL - Out ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Scaling SQL 2.5TB SCALE UP   2.5TB 2.5TB
Scaling SQL - Up ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SQL: Scale Out VS. Scale Up Scale Out Scale Up Advantages Better Performance Easier to Manage Better Flexibility Cheaper Disadvantages More Expensive System Design is Critical Harder to Manage Single Point of Failure
Walkthrough: Scale Up VS. Out How to design a 5TB SharePoint SQL  Deployment 1TB 1TB 1TB 1TB 1TB 1TB 1TB 1TB 1TB 1TB
Consider the Organization ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Scaling SQL – The Bottom Line ,[object Object],[object Object],[object Object]
 
Highly Available Deployment? Redundant Switches Redundant Web/Application Servers Active/Passive SQL w/ Redundant HBA’s Redundant SAN Fabric RAID 1 Storage Redundant Power Supplies
Mirroring Within a Farm ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Mirroring Within Farm
High Availability Between Farms ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
High Availability Between Farms
The Two Basic HA/DR Scenarios ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Combining Solutions
SQL 2008 - Do you have Enterprise?
 
Content DB Size Limitation 100GB? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Large Lists – 2000 Items? ,[object Object],[object Object],[object Object]
SQL Memory – 4GB Enough? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SQL Data files  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Identifying Disk Bottlenecks ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
Lots of New SharePoint 2010 Databases
Large List Throttling Configurable List Throttling And Thresholds You control when and how much! List throttling controls forces end users to create more efficient views with < x number of items.
Web Part Performance Dashboards
Best Practices Analyzer Health Rules Runs on a Timer Job Create your own! Repair Auto-magically!
Logs & Reporting to the DB Extensibility for reporting and possibilities are limitless
Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
© 2009 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation.  Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation.  MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION. Required Slide
 
Search Disk Performance  Reference: http://blogs.msdn.com/enterprisesearch/archive/2008/05/19/sql-monitoring-and-i-o.aspx Drive IOPs Read (max) IOPs Write (max) Ratio Read/ Write Latency Read (sec) Latency Write (sec) Search DB Logs 14.67  1,777.29  0.01  0.3060  0.8550  Temp DB 1,110.98  1,492.01  0.74  1.6870  3.5660  Query file group 3,507.26  1,631.96  2.15  3.4360  3.2140  Crawl file group 3,043.93  371.65  8.19  15.0840  15.8720
Applying the Newest Learnings ,[object Object],[object Object],[object Object],[object Object]

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Large Scale SQL Considerations for SharePoint Deployments

  • 1. Joel Oleson Sr. Product Architect Quest Software http://www.sharepointjoel.com @joeloleson Contributions: Mike Watson, Todd Klindt
  • 2.
  • 3.
  • 11.  
  • 12.
  • 13. Database Disk I/O Demand Most Demand Medium Demand Low Demand * Except during backup and Indexing + Except during Profile Import Temp Master Model Tlogs Search Config +SSP *Content..
  • 14.
  • 15.  
  • 16. Scaling SQL 2.5TB SCALE OUT  2.5TB 2.5TB
  • 17.
  • 18. Scaling SQL 2.5TB SCALE UP  2.5TB 2.5TB
  • 19.
  • 20. SQL: Scale Out VS. Scale Up Scale Out Scale Up Advantages Better Performance Easier to Manage Better Flexibility Cheaper Disadvantages More Expensive System Design is Critical Harder to Manage Single Point of Failure
  • 21. Walkthrough: Scale Up VS. Out How to design a 5TB SharePoint SQL Deployment 1TB 1TB 1TB 1TB 1TB 1TB 1TB 1TB 1TB 1TB
  • 22.
  • 23.
  • 24.  
  • 25. Highly Available Deployment? Redundant Switches Redundant Web/Application Servers Active/Passive SQL w/ Redundant HBA’s Redundant SAN Fabric RAID 1 Storage Redundant Power Supplies
  • 26.
  • 28.
  • 30.
  • 32. SQL 2008 - Do you have Enterprise?
  • 33.  
  • 34.
  • 35.
  • 36.
  • 37.
  • 38.
  • 39.  
  • 40. Lots of New SharePoint 2010 Databases
  • 41. Large List Throttling Configurable List Throttling And Thresholds You control when and how much! List throttling controls forces end users to create more efficient views with < x number of items.
  • 42. Web Part Performance Dashboards
  • 43. Best Practices Analyzer Health Rules Runs on a Timer Job Create your own! Repair Auto-magically!
  • 44. Logs & Reporting to the DB Extensibility for reporting and possibilities are limitless
  • 45.
  • 46.  
  • 47. © 2009 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION. Required Slide
  • 48.  
  • 49. Search Disk Performance Reference: http://blogs.msdn.com/enterprisesearch/archive/2008/05/19/sql-monitoring-and-i-o.aspx Drive IOPs Read (max) IOPs Write (max) Ratio Read/ Write Latency Read (sec) Latency Write (sec) Search DB Logs 14.67 1,777.29 0.01 0.3060 0.8550 Temp DB 1,110.98 1,492.01 0.74 1.6870 3.5660 Query file group 3,507.26 1,631.96 2.15 3.4360 3.2140 Crawl file group 3,043.93 371.65 8.19 15.0840 15.8720
  • 50.