Getting Started with IBM Data Studio for DB2

More documents

Recommendations

Info

334 Getting Started with IBM Data Studio for DB2 Chapter 8 1. You forgot to first Deploy the stored procedure with the Enable debugging option selected. 2. The default schema, which is administrator ID (such as db2admin). 3. SQL Results 4. Variable 5. Breakpoints 6. B 7. D 8. C 9. A 10. A The answer to the exercise is that the lineSET p_in = 2; should beSET p_out = 2 Chapter 9 1. Some advantages of using UDFs include: 1) Encapsulate reusable code and 2) extend the SQL language with user-defined logic. 2. Scalar UDFs return a scalar value as a result. Table UDFs return a relational table as a result. 3. One in which the result of the routine needs to be joined with an existing table 4. To encapsulate commonly used logic. 5. UDF that receives multiple values as input and returns a scalar value as a result. 6. B 7. C 8. C 9. B 10. C Chapter 10 1. HTTPGET, HTTPPOST, SOAP 2. The data web service has been modified but not yet deployed.
Appendix A – Solutions to the review questions 335 3. Source view. 4. Named parameter markers 5. Bottom up 6. B. 7. D One in which the result of the routine needs to be joined with an existing table 8. C 9. C. 10. B. Chapter 11 1. The five phases of the data lifecycle are: design, develop, deploy, operate, optimize and govern. Governance is the aspect that needs to be considered across all phases of the lifecycle. 2. The design phase is most is most concerned with translating business requirements into a physical database representation? The main product for doing this is InfoSphere Data Architect, perhaps in conjunction with other modeling tools such as Rational Software Architect for WebSphere Software. 3. IBM Data Studio and InfoSphere Optim pureQuery Runtime can be used together to create a high performance data access layer. You can develop with pureQuery on your own computer with Data Studio. To deploy a pureQuery application on another computer, you need to acquire InfoSphere Optim pureQuery Runtime. 4. InfoSphere Optim Performance manager is designed to find performance problems before they become serious issues. 5. InfoSphere Optim Query Workload Tuner extends the basic query tuning capabilities in Data Studio with additional tools and advisors to help SQL developers and database administrators improve the performance of their queries. 6. DB2 Merge Backup minimize downtime by making it easier to create full backups (by merging incremental and delta backups), which can shorten downtime when it is necessary to recover the database. 7. The answer is C. Although metadata exchange is a key implementation approach to integrated tools, it is not a goal. 8. The answer is B. The integration with Data Studio and InfoSphere Optim Performance Manager enables you to see actual performance improvements and you develop and tune queries. InfoSphere Optim Query Workload Tuner provides you with the tools and advice to tune a single query or a set of related queries. 9. The answer is A, B, and D.
Page 1 and 2:
]
Page 3 and 4:
3 Notices This information was deve
Page 5 and 6:
Table of contents 5 Table of conten
Page 7 and 8:
3.3.1 Exporting data...............
Page 9 and 10:
Chapter 7 - Tuning queries ........
Page 11 and 12:
11.4 Community and resources ......
Page 13 and 14:
Preface 13 Keeping your skills curr
Page 15 and 16:
around the world have participated
Page 17 and 18:
17 About the authors Dimple Bhatia
Page 19 and 20:
Contributors 19 The following peopl
Page 21:
21 Acknowledgements The authors owe
Page 24 and 25:
24 Getting Started with IBM Data St
Page 26 and 27:
Page 28 and 29:
Page 30 and 31:
Page 32 and 33:
Page 34 and 35:
Page 36 and 37:
Page 38 and 39:
Page 40 and 41:
Page 42 and 43:
Page 44 and 45:
Page 46 and 47:
Page 48 and 49:
Page 50 and 51:
Page 52 and 53:
Page 54 and 55:
Page 56 and 57:
Page 58 and 59:
Page 60 and 61:
Page 62 and 63:
Page 64 and 65:
Page 66 and 67:
Page 68 and 69:
Page 70 and 71:
Page 72 and 73:
Page 74 and 75:
Page 76 and 77:
Page 78 and 79:
Page 80 and 81:
Page 82 and 83:
Page 84 and 85:
Page 86 and 87:
Page 88 and 89:
Page 90 and 91:
Page 92 and 93:
Page 94 and 95:
Page 96 and 97:
Page 98 and 99:
Page 100 and 101:
100 Getting Started with IBM Data S
Page 103 and 104:
103 Chapter 3 - Maintaining the dat
Page 105 and 106:
Chapter 3 - Maintaining the databas
Page 107 and 108:
Page 109 and 110:
Page 111 and 112:
Page 113 and 114:
Page 115 and 116:
Page 117 and 118:
Page 119 and 120:
Page 121 and 122:
Page 123 and 124:
Page 125 and 126:
Page 127 and 128:
Page 129 and 130:
Page 131 and 132:
Page 133 and 134:
Figure 3.35 - Selecting additional
Page 135 and 136:
Page 137:
Page 140 and 141:
Page 142 and 143:
Page 144 and 145:
Page 146 and 147:
Page 148 and 149:
Page 150 and 151:
Page 152 and 153:
Page 154 and 155:
Page 156 and 157:
Page 159 and 160:
159 Chapter 5 - Creating SQL and XQ
Page 161 and 162:
Chapter 5 - Creating SQL and XQuery
Page 163 and 164:
Page 165 and 166:
Page 167 and 168:
Page 169 and 170:
Page 171 and 172:
Page 173 and 174:
Page 175 and 176:
Page 177 and 178:
Page 179 and 180:
Page 181 and 182:
On Success On Error Result Chapter
Page 183 and 184:
Page 185 and 186:
Page 187 and 188:
Page 189 and 190:
Page 191 and 192:
Page 193 and 194:
193 Chapter 6 - Managing jobs Job m
Page 195 and 196:
Chapter 6 - Managing jobs 195 6.3 J
Page 197 and 198:
Chapter 6 - Managing jobs 197 6.4 C
Page 199 and 200:
Chapter 6 - Managing jobs 199 Figur
Page 201 and 202:
Chapter 6 - Managing jobs 201 Comp
Page 203 and 204:
Page 205 and 206:
Page 207 and 208:
Chapter 6 - Managing jobs 207 6.5 R
Page 209 and 210:
Chapter 6 - Managing jobs 209 6.6.2
Page 211 and 212:
Page 213 and 214:
213 Chapter 7 - Tuning queries In t
Page 215 and 216:
Chapter 7 - Tuning queries 215 Figu
Page 217 and 218:
Chapter 7 - Tuning queries 217 You
Page 219 and 220:
Chapter 7 - Tuning queries 219 •
Page 221 and 222:
Page 223 and 224:
7.4.2 Run the Statistics Advisor an
Page 225 and 226:
Chapter 7 - Tuning queries 225 7.4.
Page 227 and 228:
Chapter 7 - Tuning queries 227 For
Page 229 and 230:
Page 231 and 232:
Chapter 7 - Tuning queries 231 To s
Page 233 and 234:
Chapter 7 - Tuning queries 233 3. O
Page 235 and 236:
Chapter 7 - Tuning queries 235 7.6
Page 237 and 238:
237 Chapter 8 - Developing SQL stor
Page 239 and 240:
Chapter 8 - Developing SQL stored p
Page 241 and 242:
Page 243 and 244:
Page 245 and 246:
Page 247 and 248:
Page 249 and 250:
Page 251 and 252:
Page 253 and 254:
Page 255 and 256:
Page 257 and 258:
Page 259 and 260:
Page 261 and 262:
Page 263:
Page 266 and 267:
Page 268 and 269:
Page 270 and 271:
Page 272 and 273:
Page 274 and 275:
Page 276 and 277:
Page 278 and 279:
Page 280 and 281:
Page 282 and 283:
Page 284 and 285: 284 Getting Started with IBM Data S
Page 355 and 356: 355 Appendix D - The Sample Outdoor
Page 357 and 358: Appendix D - The Sample Outdoor Com
Page 363 and 364: Appendix E - Advanced topics for de
Page 385 and 386:
Appendix E - Advanced topics for de
Page 387 and 388:
Appendix E - Advanced topics for de
Page 389 and 390:
E.5.4 Data web services artifacts A
Page 391 and 392:
References 391 References [1] HAYES
Page 393 and 394:
References 393 Books and articles 1
Page 396:
396 Getting started with IBM Data S
show all

Getting Started with IBM Data Studio for DB2

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?