Table of Contents. Chapter 1: Introduction. Chapter 2: Getting Started. Chapter 3: Standard Functionality. Chapter 4: Module Descriptions

Transcription

1

2

3 Table of Contents Chapter 1: Introduction Chapter 2: Getting Started Chapter 3: Standard Functionality Chapter 4: Module Descriptions

4 Table of Contents

5 Table of Contents Chapter 5: Administration

6 Table of Contents Chapter 6: Resources Index

7 Chapter 1: Introduction

8 Software Modules

9 Key Benefits

10

11 Executive Management

12 Systems Administration

13 Software Development

14

15 Executive Overview

16

17

18

19

20

21 Pinpoint Critical Issues

22

23 System Requirements

24 Licensing and Pricing

25 Agreements

26

27 Mutual Confidentiality Agreement

28

29

30

31 Software License & Maintenance Agreement

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33

34

35

36

37

38

39

40

41 Business Partner Agreement

42

43

44

45

46

47

48

49 Chapter 2: Getting Started

50

51 Quick Start Procedure

52 Registration

53

54 Downloading Software

55 Software Demonstration

56 Server Installation

57 Installation Requirements

58

59 Software Installation

60 IP Address: Operating System: OS400: User: Password:

61 Proxy Server Settings IP Address: Port: User: Password: Domain:

62

63 Technical Notes

64

65

66

67 Uninstall

68 Installation Verification

69 Chapter 3: Standard Functionality

70

71 Sample

72 Data Samples Module: Description: Created: Last Used:

73 Sample Details Module: Description: Beginning Date: Ending Date: Created: Updated:

74 Last Used:

75 Find

76

77 Subfile Options

78

79 Function Keys

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81

82

83 Chapter 4: Module Descriptions

84

85 System Navigator CPU % 25 6 PM 7 PM 8 PM 9 PM 10 PM 11 PM /XXXXXXX/XXXXXX0002 (1%,7,4289) /XXXXX/XXXXXXX (15%,411,253830) /XXXXXXX/XXXXXXXX2 (1%,8,1933) /XXXXXXX/XXXXXXXX2 (1%,8,1266) /XXXXXXX/XXXXXXXX3 (1%,11,4909) /XXXXXXXX/XXXXXXX (7%,422,303404) /XXXXXXXX/XXXXXXXX (20%,2832,303551) /XXXXXXXX/XXXXXX@ (11%,1723,128287) /XXXXXXXX/XXXXXX# (2%,376,18270) /XXXXX/XXXXXXX (2%,1122,22191)

86 % Busy 25 6 PM 7 PM 8 PM 9 PM 10 PM 11 PM /XXXXXXX/XXXXXX0002 (1%,7,4289) /XXXXX/XXXXXXX (15%,411,253830) /XXXXXXX/XXXXXXXX2 (1%,8,1933) /XXXXXXX/XXXXXXXX2 (1%,8,1266) /XXXXXXX/XXXXXXXX3 (1%,11,4909) /XXXXXXXX/XXXXXXX (7%,422,303404) /XXXXXXXX/XXXXXXXX (20%,2832,303551) /XXXXXXXX/XXXXXX@ (11%,1723,128287) /XXXXXXXX/XXXXXX# (2%,376,18270) /XXXXX/XXXXXXX (2%,1122,22191) Memory 25 6 PM 7 PM 8 PM 9 PM 10 PM 11 PM /XXXXXXX/XXXXXX0002 (1%,7,4289) /XXXXX/XXXXXXX (15%,411,253830) /XXXXXXX/XXXXXXXX2 (1%,8,1933) /XXXXXXX/XXXXXXXX2 (1%,8,1266) /XXXXXXX/XXXXXXXX3 (1%,11,4909) /XXXXXXXX/XXXXXXX (7%,422,303404) /XXXXXXXX/XXXXXXXX (20%,2832,303551) /XXXXXXXX/XXXXXX@ (11%,1723,128287) /XXXXXXXX/XXXXXX# (2%,376,18270) /XXXXX/XXXXXXX (2%,1122,22191)

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88

89 CPU Peak Analysis Interval: Users: Active: Waiting: Jobs: CPU: Sys: Int:

90 Bch: Dsk: Busy:

91 Disk Percent Busy Interval: Busy: Reads: Writes: %DBcap: DASD: %: CurUn: MaxUn:

92

93 Memory Faults and Pages Interval: dbfault: dbpages: NdbFlt: NdbPag: ActWait:

94 WaitInl: ActInl:

95 User Sessions Interval: UsrOn: UsrOff: UsrReq: UsrGrp: UsrPrt: Jobs:

96

97 Batch Jobs Interval: Msg: Run: HldAct:

98 End: Wait: HldQue: Jobs:

99 Interval Details % CPU used: % DB capability: Elapsed time: Jobs in system: % perm addresses: % temp addresses: Auxiliary storage: System ASP: % system ASP used:

100 Total storage: Current unprotect used: Maximum unprotect: User Sessions: Currently Signed On: Signed Off (Tmp/PrtWait): Suspended By Sys Req: Suspended By Grp Job: Batch Jobs: Waiting (Msg/Run):

101 Running: Held (Run/Jbq/HJbq): Ending: % CPU (Job Type): Sys: Int: Bch: Disk (Percent Busy): Total: Reads: Writes: DB: Fault Pages:

102 Non DB: Fault Pages: Active >Wait: Wait >Inel: Active >Inel:

103 Interval History Interval: Job:

104 Started: Ended: CPU: %:

105 Job Details Job:

106 Submitted By: Entered: Started: Ended: Run Priority: Time Slice: Average CPU %: Job Type:

107 Job Status:

108

109 Subsystem:

110 Library: Acct Code: End Code: JobQ: Library: Job Desc: Library: OutQ: Library: CPU Seconds: Physical I/O:

111 Interact Trans: JobQ Wait Time: Run Time: Response Time: Function:

112 Temporary Storage: Number of Threads: Last Activity:

113 Workload Navigator

114

115 Subsystem Analysis Subsystem: CPU: IO: IntT: Wait: Run: ResT: Jobs:

116

117 Job Identification Job:

118 CPU: IO: IntT: Wait: Run: ResT: Jobs:

119 User Utilization User: CPU: IO: IntT: Wait:

120 Run: ResT: Jobs:

121 Job Type Tracking Type:

122 CPU: IO: IntT: Wait: Run: ResT: Jobs:

123 Job History Subsystem: Job:

124 Started: Ended: CPU: %:

125 Job Details Job:

126 Submitted By: Entered: Started: Ended: Run Priority: Time Slice: Average CPU %: Job Type:

127 Job Status:

128

129 Subsystem:

130 Library: Acct Code: End Code: JobQ: Library: Job Desc: Library: OutQ: Library: CPU Seconds: Physical I/O:

131 Interact Trans: JobQ Wait Time: Run Time: Response Time: Function:

132 Temporary Storage: Number of Threads: Last Activity:

133 Query Optimizer

134

135 Table Scan Analysis Database: Skipped:

136 Queries: Total: Selected:

137 Elapsed Time Tracking Database: Elapsed: Queries:

138 Fetched: Rebuilt: Sort:

139 Database Analysis Database: Skipped:

140 Queries: Total: Selected:

141 Job Identification Job:

142 Skipped: Queries: Total: Selected:

143 User Utilization User: Skipped: Queries: Total: Selected:

144

145 Program Optimization Program: Skipped: Queries: Total: Selected:

146

147 Indexing Opportunities Indexes: Elapsed: Skipped: Queries: Total:

148

149 SQL History Database: Request: Elapsed:

150 Skipped:

151 SQL Details Job:

152 File: Program: Procedure: Function:

153 Operation:

154

155 Type: Parse: Outcome: Replan:

156 Conversion: Cursor: Statement: Return: Close:

157 ODP: Dynamic: Commit: Blocking: Delay: Explain: Naming: Process:

158 LOB: Collection: Fields: SQL: Queries: Selected: Fetched: Elapsed: Total: Skipped: Scan: Used: icreated: Sort: Temp: Locked: Rebuilt: Timeout: Subquery: bcreated: bmerge: Hash: Distinct:

159 smerge: Grouping:

160

161 Application Optimizer

162

163 Module Tracking Module: Count:

164

165 Procedure Diagnosis Procedure: Count:

166

167 Source Code Profiling Profile: Count:

168

169 Source Token Analysis Token: Count:

170

171 Job Preview Job name: User: Time interval : Date: Time: Job:

172 Status:

173

174

175 CPU:

176

177 Source Analysis Module: Library: Text: Debug:

178

179 Trace Job

180

181 Journal Optimizer

182

183 Journal Transactions Journal: Records: Size: Receivers: Objects: Days: History:

184

185 Job Identification Job: History:

186

187 User Utilization User: History:

188

189 Object Journaling Object: History:

190

191 Program Optimization Program: History:

192

193 Transaction Types Type: History:

194

195 Transaction History Journal: Date: Time: Job: User:

196 Program: Object: Type:

197 Transaction Details Journal: Receiver: Seq #: Description: Job: Program:

198 Object: Date: Time: Journal Code:

199 Entry Type:

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201

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205

206

207

208 Flag:

209

210 Count/RRN: Ignore APY/RMV: Minimized entry data:

211 Commit cycle ID: Ref Constraint: Trigger: Incomplete data:

212

213 Disk Navigator

214

215 DASD Utilization Object: Objects: Usage: Size: Records: Deleted:

216

217 Disk Activity Statistics Object: lreads: preads: Writes: Updates: Deletes:

218

219 Object Type Usage Type:

220

221

222

223

224 Objects: Usage: Size: Records: Deleted:

225 Object Tracking Object: Objects: Usage: Size: Records: Deleted:

226

227 Library Consumption Library: Objects: Usage: Size: Records: Deleted:

228

229 Path Token Analysis Token: Objects: Usage: Size: Records: Deleted:

230

231 Object History Library: Object: Library: Member: Attr: Usage: Size:

232 Records: Deleted:

233 Object Details File: Library: Member: Type:

234

235

236

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238 Path: Description: Usage: Size:

239 Records: Deleted Recs: Deleted Size: Opens: Closes: Writes: Updates: Deletes: LF Reads: PF Reads: Clears: Copies: Reorgs: Rebuilds:

240 Rej Key: Rej Non key: Rej Group by: Created: Last Used: Saved: Updated: Reset: Restored:

241 Spool Navigator

242

243 Job Identification Job: Files: Pages: Size:

244 Copies:

245 User Utilization User: Files: Pages: Size:

246 Copies:

247 Spooled File Usage File: Files: Pages: Size:

248 Copies:

249 Spooled File Status Status:

250 Files: Pages: Size: Copies:

251 User Data Analysis Data: Files: Pages: Size:

252 Copies:

253 Form Type Statistics Type: Files: Pages: Size:

254 Copies:

255 Output Queue Activity Queue: Files: Pages: Size:

256 Copies:

257 Spooled File History Queue: File: User: Queue: User Data: Sts: Pages:

258 Size:

259 Spooled File Details Job:

260 File: Number: Status: Created: User Data: Form Type: Output Queue: ASP: Priority:

261 Pages: Size: Copies:

262

263 Chapter 5: Administration

264

265 System/Access Control

266 System: Access: Code: Expires:

267 Automated Scheduling Module: Description: Parameters: Repeat:

268 Day: Time: Task:

269 Scheduling Details Task:

270 Description: Module: Started: Completed: Frequency: Schedule date, or: Schedule day: Schedule time:

271 Automated Distribution Module: Parameters: List: Description:

272

273 Distribution Lists List: Address: Method:

274 Format:

275 Default Server Jobs

276

277 Registration

278

279 Data Conversion

280

281 System Navigator

282

283 Workload Navigator

284

285 Query Optimizer

286

287 Application Optimizer

288

289

290

291 Journal Optimizer

292

293 Disk Navigator

294

295 Spool Navigator

296

297 Software Maintenance

298

299 Database Maintenance

300

301 HTTP Server

302

303

304

305 Manage Server Jobs CPU %: Elapsed time: Module: Started:

306 CPU %: Function: Status:

307

308

309 Job:

310 CPU:

311 Software Maintenance Module: Last Updated: Available Update:

312

313 Database Maintenance Module: Created: Updated: Used: Days: Records: Size:

314

315 Automated Distribution List: Description:

316

317 Automated Alerts Module: Field: Description: Rises: Falls: List:

318

319 Distribution Lists List: Address: Method:

320 Format:

321 Distribution Methods Method: Description:

322

323 Distribution Formats Format: Description:

324

325 Chapter 6: Resources

326

327 Introduction

328

329 Products

330

331 News Room

332

333 About MB

334

335 Support Options

336

337 Contact Us

338

339 White Papers

340

341

342

343 Tracking Down Performance Problems

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345

346

347 First Things First: Software based Performance Tuning IS YOUR SYSTEM EXPERIENCING HIGH CPU use, memory faulting, poor response time, high disk activity, long running batch jobs, poorly performing SQL or client/server or Web requests? Are you about to spend thousands of dollars on more memory, faster disk drives, or other upgrades? Before you do, make sure you know why you're having performance issues. A couple of days gathering data from your system and analyzing it from the highest level down to individual lines of code is time well spent and will likely yield a result you may not have considered. New hardware may have little, if any, effect on system responsiveness, because the root cause of 90 percent of all performance issues is excessive I/O in one or more applications on your system. This white paper will focus on part of the process of identifying and solving the root causes of these application performance issues. The sample data was collected using a toolset for the iseries from MB Software called the Workload Performance Series. It collects data from a system and presents it in a way that lets you analyze your environment from various perspectives and different levels of detail. The data is gleaned from a real analysis of an actual system, so it accurately reflects what you might expect to find in your own environment. But regardless of whether you use the Workload Performance Series or another data gathering solution, what's important is how you use the data to address the root causes of performance issues within your environment. Subsystem Analysis First, look at a high level view of what's going on in your system. (Figure 1) shows CPU use by subsystem. This particular system had significant response time issues, and when we look at the data over a 24 hour period, we find that QBATCH consumed 55 percent of the CPU on this system. MIMIXSBS consumed another 15 percent, and QINTER took 11 percent. Typically, we find that a one to one relationship exists between CPU use and I/O performed, and the subsystem that consumes the most CPU also performs the most I/O. We explore this relationship in more detail later on; but if we can reduce these 8.5 billion I/Os, we're going to improve the duration of jobs, consume less CPU, experience better response time, less memory use, less memory faulting, and less disk activity. First Things First: Software based Performance Tuning Page