介绍
增强查询性能
会话管理
MDX查询执行
数据查找：维度
数据查找：度量值组
定义属性关系
有效使用层次
聚合如何优化查询
存储引擎如何使用聚合
为什么不创建所有可能的聚合
如何解释聚合单元命名
哪些聚合将被创建
如何影响聚合设计
提供聚合备选单元
提供Cube数据的统计信息
采用合理的聚合设计策略
在查询时如何使用分区
设计分区
多分区的聚合考虑
精确计算空间
移除空元组
使用MDX汇总数据
利用查询执行引擎缓存
使用计算成员的最佳方法
调校处理性能
处理作业概要
维度处理作业
维度处理指令
分区处理作业
分区处理指令
执行处理作业
Refreshing dimensions efficiently
Optimizing the source query
Reducing attribute overhead
Optimizing dimension inserts, updates, and deletes
Refreshing partitions efficiently
Optimizing the source query
Using partitions to enhance processing performance
Optimizing data inserts, updates, and deletes
Evaluating rigid vs. flexible aggregations
Optimizing Special Design Scenarios
Special aggregate functions
Optimizing distinct count
Optimizing semiadditive measures
Parent-child hierarchies
Complex dimension relationships
Many-to-many relationships
Reference relationships
Near real-time data refreshes
Tuning Server Resources
Understanding how Analysis Services uses memory
Memory management
Shrinkable vs. non-shrinkable memory
Memory demands during querying
Memory demands during processing
Optimizing memory usage
Increasing available memory
Monitoring memory management
Minimizing metadata overhead
Monitoring the timeout of idle sessions
Tuning memory for partition processing
Warming the data cache
Understanding how Analysis Services uses CPU resources
Job architecture
Thread pools
Processor demands during querying
Processor demands during processing
Optimizing CPU usage
Maximize parallelism during querying
Maximize parallelism during processing
Use sufficient memory
Use a load-balancing cluster
Understanding how Analysis Services uses disk resources
Disk resource demands during processing
Disk resource demands during querying
Optimizing disk usage
Using sufficient memory
Optimizing file locations
Disabling unnecessary logging
Conclusion
Appendix A – For More Information
Appendix B - Partition Storage Modes
Multidimensional OLAP (MOLAP)
Hybrid OLAP (HOLAP)
Relational OLAP (ROLAP)
Appendix C – Aggregation Utility
Benefits of the Aggregation Utility
How the Aggregation Utility organizes partitions
How the Aggregation Utility works