Microsoft SQL Server 2008 R2 Especificaciones Pagina 187
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- Tabla de contenidos
- MARCADORES
Valorado. / 5. Basado en revisión del cliente
Expression Language Improvements CHAPTER 9 167
=Lookup(Fields!StateProvinceCode.Value, Fields!StProv.Value,
Fields!StProvName.Value, "Dataset1")
The MultiLookup function also requires a one-to-one relationship between the source and
destination, but it accepts a set of source values as input. Reporting Services matches each
source value to a destination value one by one, and then returns the matching values as an
array. You can then use an expression to transform the array into a comma-separated list, as
shown in Figure 9-2.
StProvName
British Columbia
Oregon
Washington
StProv
BC
OR
WA
Dataset1
Florida
Georgia
FL
GA
BC
OR
WA
FL
GA
Salesperson
StateProvinceCode
Dataset2
SalesAmount
Month-to-Date Sales by Salesperson
David Campbell BC, OR, WA 2975
Tsvi Reiter FL, GA 3000
Saleperson
David Campbell
Tsvi Reiter
Territory
British Columbia, Oregon, Washington
Florida, Georgia
Sales Amount
2,975
3,000
FIGURE 9-2 MultiLookup function results
The MultiLookup function in the second column of the table requires an array of values
from the dataset bound to the table, which in this case is the StateProvinceCode eld in
Dataset2. You must rst use the Split function to convert the comma-separated list of values
in the StateProvinceCode eld into an array. Reporting Services operates on each element
of the array, matching it to the StProv eld in Dataset1, and then combining the results into
an array that you can then transform into a comma-separated list by using the Join function.
Here is the expression in the Territory column:
=Join(MultiLookup(Split(Fields!StateProvinceCode.Value, ","), Fields!StProv.Value,
Fields!StProvName.Value, "Dataset1 "), ", ")
- Database Administration 1 1
- —Ross MistRy 3
- —stacia MisneR 3
- Contents at a Glance 5
- Contents 7
- viii Contents 8
- Contents ix 9
- x Contents 10
- Contents xi 11
- xii Contents 12
- Contents xiii 13
- Acknowledgments 15
- xvi 16
- Introduction 17
- Pre-Release Software 18
- Support for This Book 19
- We Want to Hear from You 19
- Database 21
- Administration 21
- SQL Server 2008 R2 Editions 23
- Upload collection 27
- Premium Editions 32
- Core Editions 32
- Specialized Editions 33
- Hardware Requirements 34
- Software Requirements 35
- The In-Place Upgrade 36
- Side-by-Side Migration 38
- Multi-Server Administration 41
- REAL WORLD 43
- UCP Prerequisites 45
- Creating a UCP by Using SSMS 46
- UCP Post-Installation Steps 49
- Windows PowerShell 52
- Connecting to a UCP 53
- The Policy Tab 54
- The Security Tab 57
- The Data Warehouse Tab 59
- 1 year, or 2 years 60
- Data-Tier Applications 61
- Supported SQL Server Objects 64
- Visual Studio 2010 65
- Management Studio 69
- Data-Tier Application Wizard 72
- High Availability and 83
- Virtualization Enhancements 83
- Windows Server 2008 R2 86
- Server 2008 R2 86
- Guest Failover Clustering 87
- Real World 88
- /cc732035(WS.10).aspx 89
- Enabling CSV 96
- Click Next 101
- Consolidation and Monitoring 105
- SQLInstance01 106
- Monitoring 109
- Development 127
- Business Intelligence 127
- Scalable Data Warehousing 129
- Processing Architecture 130
- The Multi-Rack System 130
- The Data Rack 131
- The Control Rack 132
- The Control Node 132
- The Landing Zone Node 134
- The Backup Node 134
- The Management Node 134
- The Compute Node 134
- Hub-and-Spoke Architecture 135
- Shared Nothing Architecture 135
- Replicated Strategy 136
- Distributed Strategy 136
- DDL Extensions 137
- CREATE DATABASE 138
- CREATE TABLE 138
- Data Types 140
- Query Processing 141
- Data Load Processing 141
- Monitoring and Management 142
- Integration Services 143
- Reporting Services 143
- Master Data Services 145
- Master Data Manager 148
- Model Objects 149
- Product hierarchies 150
- Master Data Maintenance 151
- Business Rules 152
- Business rule validation 153
- Transaction Logging 154
- Importing Master Data 155
- Exporting Master Data 156
- Versions 157
- Security 158
- A user’s model permissions 159
- Programmability 162
- Matching Functions 163
- Complex Event Processing 165
- StreamInsight Highlights 166
- Data Structures 167
- The CEP Server 167
- Input Adapters 168
- Output Adapters 169
- Query Instances 169
- Deployment Models 169
- Hosted Assembly 169
- Standalone Server 169
- Event Types 170
- Adapters 171
- Query Templates 174
- The Event Stream Object 174
- The QueryTemplate Object 174
- Projection 175
- Filtering 175
- Event Windows 176
- FIGURE 8-3 Hopping windows 177
- Aggregations 179
- Grouping 180
- User-dened Functions 181
- Query Template Binding 182
- The Query Binder Object 182
- The Query Object 183
- Diagnostic Views 183
- Enhancements 185
- Aggregation 188
- Aggregation of an aggregation 189
- Page Numbering 190
- Read/Write Report Variable 190
- Layout Control 191
- Pagination Properties 192
- Data Synchronization 193
- Text Box Orientation 194
- Data Bars 195
- Sparklines 196
- Indicators 196
- Indicator types 197
- Reusability 198
- Shared Datasets 199
- Cache Refresh 199
- Report Parts 200
- Reusability CHAPTER 9 181 201
- Atom Data Feed 202
- Edit Sessions 203
- The Report Part Gallery 203
- Report Manager Improvements 204
- Report Viewer 205
- The report menu 205
- Report Viewer Improvements 206
- Improved Browser Support 206
- RDL Sandboxing 206
- RS Utility Scripting 207
- Self-Service Analysis with 209
- PowerPivot 209
- Modications to Excel 210
- Data Sources 211
- Linked Tables 213
- Copying and Pasting 213
- Data Preparation 213
- Relationships 214
- PowerPivot Reports 216
- PivotTables 216
- PowerPivot data 216
- Cube Functions 217
- The CUBEVALUE function 218
- Data Analysis Expressions 219
- Calculated Columns 219
- Measures 219
- DAX Functions 220
- Architecture 221
- The PowerPivot System Service 222
- The PowerPivot Database 223
- The PowerPivot Web Service 223
- Content Management 224
- The PowerPivot Gallery 224
- The Data Feed Library 225
- Data Refresh 225
- Linked Documents 225
- About the Authors 235
- What do 236
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