SAS 9.1.3 Intelligence Platform: System Administration Guide

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112 Note to Windows Users R Chapter 14 50MB + size_of_all_repositories + (256K * number_of_concurrent_clients) + (20M * value_of_MAXACTIVETHREADS) This formula provides the following results: 50MB overhead + 61MB = 111MB metadata storage requirement 256KB queuing space * 2 clients = 512KB client requirement 20MB thread memory * (1 processor * 2) = 40MB thread requirement 512KB + 40MB = 512 * 1024 bytes = 524,288 bytes 40 * 1048576 bytes = 41,943,040 bytes 41,943,040 + 524,288 = 42,467,328 bytes 42,467,328/1048576 = 40.5MB query memory requirement 111MB metadata storage requirement + 40.5MB query memory requirement= 151.5MB total RAM Note to Windows Users If you have determined that your memory requirements will approach 2GB, you should be aware of the 2GB per-process address limit on Windows hosts. The following Windows hosts support a 4GT RAM Tuning feature that will enable you to increase the per-process address limit to 3GB: 3 Microsoft Windows NT 4.0 Server, Enterprise Edition 3 Microsoft Windows 2000 Advanced Server 3 Microsoft Windows 2000 Datacenter Server 3 Microsoft Windows XP Professional Edition 3 Microsoft Windows Server 2003 Standard Edition 3 Microsoft Windows Server 2003 Enterprise Edition 3 Microsoft Windows Server 2003 Datacenter Edition If your memory requirements exceed 3GB, then you should consider running your metadata server in a host environment that has a higher per-process address space. For more information about the 4GT RAM Tuning feature, see "4GT RAM Tuning" in the Microsoft MSDN Library at http://msdn.microsoft.com/library. The following is an example of a boot.ini file that specifies a 3GB address limit: [boot loader] timeout=5 default=multi(0)disk(0)rdisk(0)partition(1)\WINNT [operating systems] multi(0)disk(0)rdisk(0)partition(1)\WINNT="Microsoft Windows XP Professional" /fastdetect /3GB
Managing Memory for Performance R How Memory Optimization Works 113 Using %OMARUNAN (or the RUNANALYSIS Option of %OMABAKUP) to Optimize Memory Usage About %OMARUNAN and the RUNANALYSIS Option of %OMABAKUP The <strong>SAS</strong> Metadata Server is an in-memory server. This means that in addition to being stored on disk, all queried and updated metadata is held in memory for the duration of the server session in order to optimize performance. The records are read into memory as they are requested by clients. The records remain in memory until client activity on the metadata server is paused and resumed, or until the metadata server is stopped. To optimize the usage of memory on the metadata server, you can do either of the following: 3 Set the RUNANALYSIS parameter to “YES” when you use %OMABAKUP to perform a backup. This causes the %OMARUNAN macro to be executed after the backup is complete and after client activity has resumed on the metadata server. 3 Execute the %OMARUNAN macro after you have performed a backup. In each data set, the RUNANALYSIS option (or the %OMARUNAN macro) analyzes the handling of character variables. The analysis checks for such items as unnecessary indexes, long character variables that can be stored as variable-length strings, and duplicate strings. The next time %OMABAKUP is used to perform a backup, it uses the results of the analysis to perform memory optimization tasks. To take advantage of the analysis, consider executing a second backup anytime you use the RUNANALYSIS option of %OMABAKUP (or anytime you use the %OMARUNAN macro). CAUTION: If you run %OMABAKUP in restore mode after having used %OMARUNAN or the RUNANALYSIS %OMABAKUP option, the optimizations will be lost. The RESTORE option deletes the DS_VCHAR data sets from the backup directories before restoring repositories to their registered locations. R When to Optimize Memory Usage It is not necessary to perform character variable analysis on a regular basis. Variable usage is unlikely to change much unless you add or delete a significant percentage of the total metadata in a repository. The analysis is most useful after metadata is first loaded into <strong>SAS</strong> metadata repositories and after significant updates are applied. How Memory Optimization Works The following processing occurs when you run the %OMARUNAN macro, or when you use %OMABAKUP with the RUNANALYSIS option: 3 The subprogram accesses the repository data sets in the backup destination. In each data set, it analyzes the handling of character variables. The analysis checks for such items as unnecessary indexes, long character variables that can be stored as variable-length strings, and duplicate strings. 3 For each repository, the subprogram stores the results of the analysis in a data set called DS_VCHAR. This data set is stored in the same directory as the backup repository data sets.
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SAS® 9.1.3 Intelligence Platform S
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Contents What’s New ix Overview i
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Chapter 12 R SAS OLAP Server Monito
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Chapter 23 R Enabling the Schedulin
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What’s New Overview SAS creates a
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P A R T 1 Before You Begin Chapter
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4 Prerequisites for Using the SAS I
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6 Overview of the SAS Metadata Serv
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8 Overview of SAS Application Serve
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10 About the Configuration Director
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12 About the web Subdirectory R Cha
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14 About Configuration Files for Cl
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16 About the Initial Operating Syst
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18 About Required User and Group Me
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CHAPTER 3 What to Do Next: Summary
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Summary of System Administration To
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Summary of System Administration To
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P A R T 2 System Operation Chapter
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30 Starting Servers in the Correct
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32 Start and Stop the SAS Servers o
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34 Use SAS Management Console to Cl
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36 Starting a BEA WebLogic Server R
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38 Use PROC METADATA to Check the A
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40 Use PROC METADATA to Check the A
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42 Check the Status of a SAS OLAP S
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About %OMABAKUP CHAPTER 6 Planning
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Planning SAS Metadata Server Backup
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Planning SAS Metadata Server Backup
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CHAPTER 7 Using the %OMABAKUP Macro
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Using the %OMABAKUP Macro R Example
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Using the %OMABAKUP Macro R Example
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Using the %OMABAKUP Macro R How the
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Using the %OMABAKUP Macro R %OMABAK
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Page 74 and 75: 64 Manually Restore a Running SAS M
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Page 82 and 83: 72 Capture XML Information in the S
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Page 93 and 94: Using the ARM_OMA Subsystem R Examp
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Page 101 and 102: Administering Logging R Adding Opti
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Page 105: Administering Logging R Enable Incr
Page 108 and 109: 98 Increasing the SAS OLAP Server L
Page 110 and 111: 100 View OLAP Server Sessions and Q
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Page 114 and 115: 104 Change the MAXACTIVETHREADS, TH
Page 116 and 117: 106 Configure Workunit Journaling R
Page 118 and 119: 108 Repairing Problematic Data Sets
Page 120 and 121: 110 Concurrent Queries/Clients R Ch
Page 124 and 125: 114 Choosing Whether to Use %OMARUN
Page 126 and 127: 116 Recovering Memory on the SAS Me
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Page 130 and 131: 120 Copying, Promoting, Importing,
Page 132 and 133: 122 About the SAS Data Integration
Page 134 and 135: 124 %OMAPORT Autocall Macro: Refere
Page 136 and 137: 126 Deleting a Metadata Repository
Page 138 and 139: 128 Create the Repository Manager a
Page 140 and 141: 130 Attributes Used to Connect to
Page 142 and 143: 132 Attributes Used to Connect to
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Page 146 and 147: 136 When to Use the Promotion and R
Page 148 and 149: 138 Special Considerations for Usin
Page 150 and 151: 140 Preparing Your Site for a Promo
Page 152 and 153: 142 Setting Up the Source Environme
Page 154 and 155: 144 Setting Up the Target Environme
Page 156 and 157: 146 Setting Up the Target Environme
Page 158 and 159: 148 Setting Up the Administration E
Page 160 and 161: 150 Setting Up the Administration E
Page 162 and 163: 152 Creating and Running a Promotio
Page 164 and 165: 154 Building a Promotion Job R Chap
Page 166 and 167: 156 Building a Promotion Job R Chap
Page 168 and 169: 158 Running a Promotion Job R Chapt
Page 170 and 171: 160 Making Modifications after Runn
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162 Making Modifications after Runn
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164 What Happens When You Run a Pro
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166 Moving Xythos WebFile Server Co
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168 Performing a Demotion R Chapter
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170 Overview of the Promotion Proce
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172 Promotion of Content Along With
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174 Optional Promotion of Access Co
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176 Preparing to Use the Export and
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178 For Stored Processes, Set Up a
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180 Description of Scenario R Chapt
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182 Prerequisite Actions R Chapter
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184 Step 1: Export the Folders and
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186 Step 2: Import the SPK File R C
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188 Troubleshooting the Export and
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190
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192
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194 About Scheduling Metadata R Cha
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196 About Job and Flow Metadata R C
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198
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200 Ensure That Metadata Logins Exi
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202 Resolving Windows-specific Issu
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204 Further Resources R Chapter 20
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206 Enabling the Scheduling of SAS
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208 Deploying Data Integration Stud
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210
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212 Summary of Setup Tasks R Chapte
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214 How Operating System Scheduling
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216 Manually Submitting a Flow for
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218 Canceling a Scheduled Flow on a
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220 Overview of Tasks for Enabling
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222 Step 2: Define a SAS Java Batch
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224 Step 4: Update the LSF Password
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226 Step 8: Define Archive Paths fo
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228 Defining a SAS Java Batch Serve
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234 Check for SAS Initialization Fa
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236 How to Respond When a Client Ca
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240 Users R Appendix 1 Table A1.1 S
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242 Users R Appendix 1 User Role Ad
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244 Overview R Appendix 2 Figure A2
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246 Port Numbering in a Multiple-Le
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248 Default Locations for Applicati
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250
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252 Location of Configuration Files
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254 Reference Information for omaco
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256 Options R Appendix 4 TRUSTEDUS
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258 Reserved omaconfig.xml Options
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260 Recommended Parameters for All
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262 Additional z/OS Parameters R Ap
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264
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266 Basic Concepts of the SAS Confi
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268 The Lev1 Directory Structure R
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270 SASMain Contents R Appendix 6 T
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272 SASMain Contents R Appendix 6 s
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274 Default Directory Permissions R
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276 Ways to Modify the Configuratio
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278 Adding to an Environment R Appe
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280 Uninstalling an Environment R A
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282 Recommended Reading R Appendix
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284 Glossary autocall macro a macro
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286 Glossary example, a foundation
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288 Glossary metadata that will be
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290 Glossary SAS Application Server
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292 Glossary SAS/SHARE server the r
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294
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296 Index E ENGINE= option 257 envi
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298 Index REUSE attribute metadata
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