SAS 9.1.3 Intelligence Platform: System Administration Guide

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196 About Job and Flow Metadata R Chapter 19 is generated and placed in this directory. When the job is executed, the job information is read from this directory. In order for SAS Data Integration Studio users to deploy jobs, a metadata definition for the deployment directory must exist in the metadata repository. The metadata definition includes the following information: 3 the name of the SAS Application Server with which the directory is associated 3 a name for the directory 3 the path to the directory About Job and Flow Metadata Job metadata becomes available to Schedule Manager when you use SAS Web Report Studio to schedule a report, when you use SAS Data Integration Studio to deploy a job, or when you use Schedule Manager to deploy a job manually. The job metadata includes the following information: 3 the command that is to be used to execute the job 3 the name of the SAS batch server that is associated with the job 3 the deployment directory that is associated with the job 3 the file name of the executable program Flow metadata is created when you use Schedule Manager to create a flow and when you use SAS Web Report Studio to schedule a report. The flow metadata includes the following information: 3 the name of the scheduling server that is to execute the flow 3 the triggers and dependencies that have been assigned to each job in the flow Depending on the scheduling server that the user specifies (either the Process Manager Server or an operating system scheduling server), Schedule Manager converts the flow metadata to the appropriate format and submits it to the scheduling server. Flows that are created by SAS Web Report Studio are automatically directed to the Process Manager Server. About Platform Product Suite for SAS Platform Product Suite for SAS is an integrated enterprise job scheduler from Platform Computing Corporation. Platform Product Suite is specifically designed to manage job flows that are generated by SAS software, and includes the following components: Process Manager Server controls the submission of jobs to Platform LSF and manages all dependencies among jobs. Platform Flow Manager provides a visual representation of flows that have been created for a Process Manager Server. These include flows that were created in SAS Management Console’s Schedule Manager, as well as reports that have been scheduled through SAS Web Report Studio. Platform Flow Manager provides information about each flow’s status and associated dependencies. You can view or update the status of jobs within a flow, and you can run or rerun a single job regardless of whether the job failed or completed successfully.
Process Manager Client enables you to monitor jobs as they run. SAS Scheduling Overview R About Configuring and Using SAS Scheduling 197 Platform Calendar Editor is a scheduling client for a Process Manager Server. This client enables you to create new calendar entries for time dependencies for jobs that are scheduled to run on the server. You can use it to create custom versions of the calendars that are used to create time dependencies for jobs. Platform Load Sharing Facility (LSF) handles the load balancing and execution of batch commands (which represent jobs). Platform LSF manages and accelerates batch workload processing for computer- and data-intensive applications. Process Manager Servers use Platform LSF for the execution of the jobs within a flow. Platform Grid Management Services manages jobs that are scheduled in a grid environment. This software collects information on the jobs that are running on the grid and the nodes to which work has been distributed, and makes the information available to the Grid Manager plug-in for SAS Management Console. You can use Grid Manager to view and manage the grid workload information. For more information, see “Supporting Grid Computing” in the SAS Intelligence Platform: Application Server Administration Guide. If you wish, you can use your operating system’s scheduling capabilities instead of Platform Product Suite for SAS. However, some scheduling features are not available. In addition, you cannot use an operating system scheduler for jobs that are generated by SAS Web Report studio. About Configuring and Using SAS Scheduling See the following topics for details about configuring and using SAS scheduling software: 3 Chapter 20, “Installing and Configuring Platform Product Suite for SAS,” on page 199 3 Chapter 21, “Scheduling Jobs from SAS Data Integration Studio,” on page 205 3 Chapter 22, “Using an Operating System Scheduling Server,” on page 211 3 Chapter 23, “Enabling the Scheduling of Reports,” on page 219 Also refer to the product Help for Schedule Manager in SAS Management Console.
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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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Using the %OMABAKUP Macro R %OMABAK
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64 Manually Restore a Running SAS M
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P A R T 4 System Monitoring and Log
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70 The Default Metadata Server Logg
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72 Capture XML Information in the S
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74 Capture Debugging Information in
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CHAPTER 10 Using the ARM_OMA Subsys
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Using the ARM_OMA Subsystem R Under
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Using the ARM_OMA Subsystem R Under
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Using the ARM_OMA Subsystem R Examp
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CHAPTER 11 Administering Logging fo
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Administering Logging R Adding Opti
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Administering Logging R Administeri
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Administering Logging R Enable Incr
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98 Increasing the SAS OLAP Server L
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100 View OLAP Server Sessions and Q
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102
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104 Change the MAXACTIVETHREADS, TH
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106 Configure Workunit Journaling R
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108 Repairing Problematic Data Sets
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110 Concurrent Queries/Clients R Ch
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112 Note to Windows Users R Chapter
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114 Choosing Whether to Use %OMARUN
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116 Recovering Memory on the SAS Me
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118
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120 Copying, Promoting, Importing,
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122 About the SAS Data Integration
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124 %OMAPORT Autocall Macro: Refere
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126 Deleting a Metadata Repository
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128 Create the Repository Manager a
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130 Attributes Used to Connect to
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132 Attributes Used to Connect to
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134
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136 When to Use the Promotion and R
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138 Special Considerations for Usin
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140 Preparing Your Site for a Promo
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142 Setting Up the Source Environme
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144 Setting Up the Target Environme
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Page 158 and 159: 148 Setting Up the Administration E
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Page 162 and 163: 152 Creating and Running a Promotio
Page 164 and 165: 154 Building a Promotion Job R Chap
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Page 168 and 169: 158 Running a Promotion Job R Chapt
Page 170 and 171: 160 Making Modifications after Runn
Page 172 and 173: 162 Making Modifications after Runn
Page 174 and 175: 164 What Happens When You Run a Pro
Page 176 and 177: 166 Moving Xythos WebFile Server Co
Page 178 and 179: 168 Performing a Demotion R Chapter
Page 180 and 181: 170 Overview of the Promotion Proce
Page 182 and 183: 172 Promotion of Content Along With
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Page 186 and 187: 176 Preparing to Use the Export and
Page 188 and 189: 178 For Stored Processes, Set Up a
Page 190 and 191: 180 Description of Scenario R Chapt
Page 192 and 193: 182 Prerequisite Actions R Chapter
Page 194 and 195: 184 Step 1: Export the Folders and
Page 196 and 197: 186 Step 2: Import the SPK File R C
Page 198 and 199: 188 Troubleshooting the Export and
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Page 204 and 205: 194 About Scheduling Metadata R Cha
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Page 214 and 215: 204 Further Resources R Chapter 20
Page 216 and 217: 206 Enabling the Scheduling of SAS
Page 218 and 219: 208 Deploying Data Integration Stud
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Page 222 and 223: 212 Summary of Setup Tasks R Chapte
Page 224 and 225: 214 How Operating System Scheduling
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Page 232 and 233: 222 Step 2: Define a SAS Java Batch
Page 234 and 235: 224 Step 4: Update the LSF Password
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Page 238 and 239: 228 Defining a SAS Java Batch Serve
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Page 244 and 245: 234 Check for SAS Initialization Fa
Page 246 and 247: 236 How to Respond When a Client Ca
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Page 250 and 251: 240 Users R Appendix 1 Table A1.1 S
Page 252 and 253: 242 Users R Appendix 1 User Role Ad
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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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