designing and optimizing hierarchies
DESCRIPTION
Designing and Optimizing Hierarchies. Presented by: Jose Chinchilla MCP, MCTS, MCITP. Jose Chinchilla MCITP: Database Administrator, SQL Server 2008 MCTS: SQL Server 2005 & 2008 MCTS: Business Intelligence SQL Server 2008 Current Positions: - PowerPoint PPT PresentationTRANSCRIPT
Designing and OptimizingHierarchies
Presented by:Jose Chinchilla
MCP, MCTS, MCITP
Jose Chinchilla MCITP: Database Administrator, SQL Server 2008 MCTS: SQL Server 2005 & 2008MCTS: Business Intelligence SQL Server 2008
Current Positions:Sr. Business Intelligence Consultant & Data Architect, Pragmatic WorksPresident, Tampa Bay Business Intelligence User Group & PASS Official Chapter
“DBA by accident, BI Developer by chance, Geek by Choice”
Blog: http://www.sqljoe.comhttp://www.bidn.com
Twitter: http://www.twitter.com/sqljoe
Linked-in: http://www.linkedin.com/in/josechinchilla
Email: [email protected]@sqljoe.com
BI Savvy NOT BI Curious
AGENDA
Types & classification of hierarchies• Natural & unnatural hierarchies• Attribute hierarchies vs. User hierarchies• Parent-child hierarchies• Balanced, unbalanced & ragged hierarchies
Demo• Designing & optimizing hierarchies
- Dim Products- Dim Employee- Dim Date
PlusPerformance Tips &Best Practices
Performance Tips & Best Practices
TestTestTest
Types & Classification of hierarchies
Designing and Optimizing Custom Hierarchies
Hierarchies everywhere
Corporate Hierarchy
Analysis Services Hierarchies
Designing and Optimizing Custom Hierarchies
Q1
Jan
Natural vs. Unnatural Hierarchies
Designing and Optimizing Custom Hierarchies
Year
Quarter
Month
Day
NaturalModel
Style
Size
Color
Unnatural
Natural vs. Unnatural Hierarchies
Designing and Optimizing Custom Hierarchies
Natural Unnatural
1. Hierarchy tree is materialized on disk in hierarchy stores
2. Attributes automatically considered to be aggregation candidates.
1. Not materialized on disk
2. Not considered as aggregation candidates.
Balanced, Unbalanced & Ragged Hierarchies
Designing and Optimizing Custom Hierarchies
North America
United States
Florida
Miami
Canada
Ontario
Toronto
Mexico
Yucatan
Merida
Balanced Hierarchy
Balanced, Unbalanced & Ragged Hierarchies
Designing and Optimizing Custom Hierarchies
North America
United States
Florida
Miami
Canada
Ontario
Mexico
Unbalanced Hierarchy
Balanced, Unbalanced & Ragged Hierarchies
Designing and Optimizing Custom Hierarchies
RaggedHierarchy
United States
Florida
Miami
Attribute Hierarchies vs. User Hierarchies
aka Attribute Hierarchy aka User Hierarchy
Designing and Optimizing Custom Hierarchies
• By default, an “ALL” attribute hierarchy is created for every attribute in a dimension.
• Can be disabled by setting IsAggregatable= False
MDX time!
Designing and Optimizing Custom Hierarchies
Default Attribute Hierarchy – “ALL”
Designing and Optimizing Custom Hierarchies
DEMO:Overview of an attribute hierarchy (default)
User hierarchies
Designing and Optimizing Custom Hierarchies
• Attribute relationships are essential for significant server optimizations.
Blue Squiggly Lines
Source of 90% ofCube Performance Gains
User hierarchies: Attribute Relationships
Designing and Optimizing Custom Hierarchies
User hierarchies: Attribute Relationships
Designing and Optimizing Custom Hierarchies
Inefficient Efficient
More GranularMore DetailLower Level
Less GranularLess Detail
Higher Level
Designing and Optimizing Custom Hierarchies
DEMO:Optimizing user hierarchies with • Attribute Relationships • Discretization• Aggregations
Parent-child hierarchies
Designing and Optimizing Custom Hierarchies
Self-referencing relationship or self-join
Designing and Optimizing Custom Hierarchies
DEMO:Overview of a Parent-Child Hierarchy
Dimension and Attribute Types
Designing and Optimizing Custom Hierarchies
Dimension Types Attribute Types
Designing and Optimizing Custom Hierarchies
Summary:• Query performance• Storage • Processing time
Data Type Query Storage Processinginteger, bigint
String, GUIDs
Impact of Data Types
Designing and Optimizing Custom Hierarchies
Relationship Type Process Option Query Storage ProcessingFlexible Incremental
Full
Rigid Incremental
Full
Impact of Flexible vs. Rigid Attribute Relationship Types
Designing and Optimizing Custom Hierarchies
• Process Full will re-compute aggregations for both Flexible & Rigid
Property Query Storage ProcessingIsAggregatable = FalseNo default “All” attribute hierarchy
AttributeHierarchyOptimizedState = False No Aggregations
AttributeHierarchyOrdered = False No Sorting
Estimated Count <> 0Member count stats
OrderBy = Key (integer)Order column
DiscretizationMethod <> None
Impact of Attribute properties
Designing and Optimizing Custom Hierarchies
Query Storage Processing
Impact of Aggregations
Designing and Optimizing Custom Hierarchies
…too much of a good thing is not good.
Query Storage Processing
Thank you for attending!
Blog: http://www.sqljoe.comTwitter: http://www.twitter.com/sqljoeLinked-in: http://www.linkedin.com/in/josechinchillaEmail: [email protected]
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Questions?