如何用olap4j列举维度

yangyu9000 2010-09-26 11:33:09
请问各位大侠有人会用olap4j读取多维数据中有哪些维度吗?就像SQL 企业管理器中列出的那样在,谢谢~ ^_^
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黄_瓜 2010-10-19
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[Quote=引用 1 楼 dawugui 的回复:]
SQL code
不懂,帮顶,学习,蹭分.
[/Quote]+1
Mr_Nice 2010-10-19
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[Quote=引用 1 楼 dawugui 的回复:]

SQL code
不懂,帮顶,学习,蹭分.
[/Quote]

。。
zhoule110 2010-10-19
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4J是什么意思,不明白,楼主解释下
billpu 2010-10-18
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没用过 也没听说过 帮顶
qingtianpi0 2010-10-18
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么用过,关注,帮顶!
hao1hao2hao3 2010-09-26
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没接触过,上网找找资料吧!
dawugui 2010-09-26
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不懂,帮顶,学习,蹭分.
Contents at a Glance Introduction....................................................................................................1 Part 1: Introduction to Analysis Services 1 Introduction to OLAP and Its Role in Business Intelligence.........................7 2 Multidimensional Space...............................................................................17 3 Client/Server Architecture and Multidimensional Databases: An Overview27 Part 2: Creating Multidimensional Models 4 Conceptual Data Model................................................................................37 5 Dimensions in the Conceptual Model.........................................................43 6 Cubes and Multidimensional Analysis.........................................................63 7 Measures and Multidimensional Analysis....................................................75 8 Advanced Modeling......................................................................................91 9 Multidimensional Models and Business Intelligence Development Studio...................................................................................109 Part 3 Using MDX To Analyze Data 10 MDX Concepts............................................................................................139 11 Advanced MDX...........................................................................................161 12 Cube-Based MDX Calculations...................................................................189 13 Dimension-Based MDX Calculations.........................................................221 14 Extending MDX with Stored Procedures....................................................237 15 Key Performance Indicators, Actions, and the DRILLTHROUGH Statement.......................................................................261 16 Writing Data into Analysis Services...........................................................291 Part 4 Creating a Data Warehouse 17 Loading Data from a Relational Database..................................................307 18 DSVs and Object Bindings..........................................................................317 19 Multidimensional Models and Relational Database Schemas...................329Part 5 Bringing Data into Analysis Services 20 The Physical Data Model............................................................................345 21 Dimension and Partition Processing..........................................................377 22 Using SQL Server Integration Services to Load Data.................................407 23 Aggregation Design and Usage-Based Optimization..................................417 24 Proactive Caching and Real-Time Updates................................................435 25 Building Scalable Analysis Services Applications.......................................451 Part 6 Analysis Server Architecture 26 Server Architecture and Command Execution...........................................477 27 Memory Management................................................................................503 28 Thread Management...................................................................................521 29 Architecture of Query Execution—Calculating MDX Expressions............527 30 Architecture of Query Execution—Retrieving Data from Storage.............553 Part 7 Accessing Data in Analysis Services 31 Client/Server Architecture and Data Access...............................................569 32 XML for Analysis........................................................................................579 33 ADOMD.NET...............................................................................................599 34 Analysis Management Objects....................................................................669 Part 8 Security 35 Security Model for Analysis Services..........................................................713 36 Securing Dimension Data...........................................................................731 37 Securing Cell Values....................................................................................751 Part 9 Management 38 Using Trace to Monitor and Audit Analysis Services.................................763 39 Backup and Restore Operations..................................................................787 40 Deployment Strategies................................................................................805 41 Resource Monitoring...................................................................................815 Index...........................................................................................................823

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