- 当我们把一条sql送到数据库去执行的时候，我们要知道，什么时候用到cpu，什么时候用到内存，什么时候用到io
在看性能指标的时候，心里先要明白，数据库出现性能问题，一般都在三个地方，io，内存，cpu，这三个又是息息相关的（ps：我们先假设这个三个地方都没有物理上的故障），当io负载增大时，肯定需要更多的内存来存放，同时也需要cpu花费更多的时间来过滤这些数据，相反，cpu时间花费多的话，有可能是解析sql语句，也可能是过滤太多的数据，到不一定是和io或内存有关系了 。
1. cpu：
解析sql语句，尝试多个执行计划，最后生成一个数据库认为是比较好的执行计划，不一定是最优的，因为关联表太多的时候，数据库并不会穷举所有的执行计划，这会消耗太多的时间，oracle怎么就知道这条数据时你要，另一个就不是你要的呢，这是需要cpu来过滤的
2. 内存：
sql语句和执行计划都需要在内存保留一段时间，还有取到的数据，根据lru算法也会尽量在内存中保留，在执行sql语句过程中，各种表之间的连接，排序等操作也要占用内存
3. io：
如果需要的数据在内存中没有，则需要到磁盘中去取，就会用到物理io了，还有表之间的连接数据太多，以及排序等操作内存放不下的时候，也需要用到临时表空间，也就用到物理io了
这里有一点说明的是，虽然oracle占用了8G的内存，但pga一般只占8G的20%，对于专用服务器模式，每次执行sql语句，表数据的运算等操作，都在pga中进行的，也就是说只能用1.6G左右的内存，如果多个用户都执行 多表关联，而且表数据又多，再加上关联不当的话，内存就成为瓶颈了，所有优化sql很重要的一点就是，减少逻辑读和物理读。
二,生成AWR报告
01 AWR的数据主要有两部分组成：
1）保存在内存中的系统负载和性能统计数据，主要通过v$视图查询 ；
2）mmon进程定期以快照(snapshot)的方式将内存中的AWR数据保存到SYSAUX表空间中，主要通过DBA_*视图访问。
02. AWR快照的生成
默认情况下，每隔一小时自动产生一个快照，保存最近7天的信息，可以通过以下语句查询：
SQL> select SNAP_INTERVAL,RETENTION from dba_hist_wr_control; SNAP_INTERVAL --------------------------------------------------------------------------- RETENTION --------------------------------------------------------------------------- +00000 01:00:00.0 +00008 00:00:00.0
可以通过以下语句修改时间间隔和保存时间(以分钟为单位)：
exec dbms_workload_repository.modify_snapshot_settings(interval => 30, retention = > 10*24*60);
也可以根据需要随时手动生成快照：
exec dbms_workload_repository.create_snapshot;
03. AWR报告的生成
以sysdba运行如下命令：
@?/rdbms/admin/awrrpt.sql
[oracle@node12c01 ~]$ sqlplus / as sysdba SQL*Plus: Release 12.2.0.1.0 Production on Wed Apr 17 02:20:31 2019 Copyright (c) 1982, 2016, Oracle. All rights reserved. Connected to: Oracle Database 12c Enterprise Edition Release 12.2.0.1.0 - 64bit Production SQL> @?/rdbms/admin/awrrpt.sql --执行生成报表 Specify the Report Type ~~~~~~~~~~~~~~~~~~~~~~~ AWR reports can be generated in the following formats. Please enter the name of the format at the prompt. Default value is 'html'. 'html' HTML format (default) 'text' Text format 'active-html' Includes Performance Hub active report Enter value for report_type: html --选择你要生成的类型,类型有上显示 old 1: select 'Type Specified: ',lower(nvl('&&report_type','html')) report_type from dual new 1: select 'Type Specified: ',lower(nvl('html','html')) report_type from dual Type Specified: html old 1: select '&&report_type' report_type_def from dual new 1: select 'html' report_type_def from dual old 1: select '&&view_loc' view_loc_def from dual new 1: select 'AWR_PDB' view_loc_def from dual Current Instance ~~~~~~~~~~~~~~~~ DB Id DB Name Inst Num Instance Container Name -------------- -------------- -------------- -------------- -------------- 1532278336 ORCL 1 orcl CDB$ROOT Instances in this Workload Repository schema ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DB Id Inst Num DB Name Instance Host ------------ ---------- --------- ---------- ------ * 1532278336 1 ORCL orcl node12c01 Using 1532278336 for database Id Using 1 for instance number Specify the number of days of snapshots to choose from ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Entering the number of days (n) will result in the most recent (n) days of snapshots being listed. Pressing <return> without specifying a number lists all completed snapshots. Enter value for num_days: 7 --选择时间范围 Listing the last 7 days of Completed Snapshots Instance DB Name Snap Id Snap Started Snap Level ------------ ------------ ---------- ------------------ ---------- orcl ORCL 213 11 Apr 2019 00:00 1 214 11 Apr 2019 01:00 1 215 11 Apr 2019 02:00 1 216 11 Apr 2019 03:00 1 217 11 Apr 2019 04:00 1 218 11 Apr 2019 05:00 1 219 11 Apr 2019 06:00 1 220 11 Apr 2019 07:00 1 221 11 Apr 2019 08:00 1 222 11 Apr 2019 09:00 1 223 11 Apr 2019 10:00 1 224 11 Apr 2019 11:00 1 225 11 Apr 2019 12:00 1 226 11 Apr 2019 13:00 1 227 11 Apr 2019 14:00 1 228 11 Apr 2019 15:00 1 229 11 Apr 2019 16:00 1 230 11 Apr 2019 17:00 1 231 11 Apr 2019 18:00 1 232 11 Apr 2019 19:00 1 233 11 Apr 2019 20:00 1 234 11 Apr 2019 21:00 1 235 11 Apr 2019 22:00 1 236 11 Apr 2019 23:00 1 237 12 Apr 2019 00:00 1 238 12 Apr 2019 01:00 1 239 12 Apr 2019 02:00 1 240 12 Apr 2019 03:00 1 241 12 Apr 2019 04:00 1 242 12 Apr 2019 05:00 1 243 12 Apr 2019 06:00 1 244 12 Apr 2019 07:00 1 245 12 Apr 2019 08:00 1 246 12 Apr 2019 09:00 1 247 12 Apr 2019 10:00 1 248 12 Apr 2019 11:00 1 249 12 Apr 2019 12:00 1 250 12 Apr 2019 13:00 1 251 12 Apr 2019 14:00 1 252 12 Apr 2019 15:00 1 253 12 Apr 2019 16:00 1 254 12 Apr 2019 17:00 1 255 12 Apr 2019 18:00 1 256 12 Apr 2019 19:00 1 257 12 Apr 2019 20:00 1 258 12 Apr 2019 21:00 1 259 12 Apr 2019 22:00 1 260 12 Apr 2019 23:00 1 261 13 Apr 2019 00:00 1 262 13 Apr 2019 01:00 1 263 13 Apr 2019 02:00 1 264 13 Apr 2019 03:00 1 265 13 Apr 2019 04:00 1 266 13 Apr 2019 05:00 1 267 13 Apr 2019 06:00 1 268 13 Apr 2019 07:00 1 Instance DB Name Snap Id Snap Started Snap Level ------------ ------------ ---------- ------------------ ---------- orcl ORCL 269 13 Apr 2019 08:00 1 270 13 Apr 2019 09:00 1 271 13 Apr 2019 10:00 1 272 13 Apr 2019 11:00 1 273 13 Apr 2019 12:00 1 274 13 Apr 2019 13:00 1 275 13 Apr 2019 14:00 1 276 13 Apr 2019 15:00 1 277 13 Apr 2019 16:00 1 278 13 Apr 2019 17:00 1 279 13 Apr 2019 18:00 1 280 13 Apr 2019 19:00 1 281 13 Apr 2019 20:00 1 282 13 Apr 2019 21:00 1 283 13 Apr 2019 22:00 1 284 13 Apr 2019 23:00 1 285 14 Apr 2019 00:00 1 286 14 Apr 2019 01:00 1 287 14 Apr 2019 02:00 1 288 14 Apr 2019 03:00 1 289 14 Apr 2019 04:00 1 290 14 Apr 2019 05:00 1 291 14 Apr 2019 06:00 1 292 14 Apr 2019 07:00 1 293 14 Apr 2019 08:00 1 294 14 Apr 2019 09:00 1 295 14 Apr 2019 10:00 1 296 14 Apr 2019 11:00 1 297 14 Apr 2019 12:00 1 298 14 Apr 2019 13:00 1 299 14 Apr 2019 14:00 1 300 14 Apr 2019 15:00 1 301 14 Apr 2019 16:00 1 302 14 Apr 2019 17:00 1 303 14 Apr 2019 18:00 1 304 14 Apr 2019 19:00 1 305 14 Apr 2019 20:00 1 306 14 Apr 2019 21:00 1 307 14 Apr 2019 22:00 1 308 14 Apr 2019 23:00 1 309 15 Apr 2019 00:00 1 310 15 Apr 2019 01:00 1 311 15 Apr 2019 02:00 1 312 15 Apr 2019 03:00 1 313 15 Apr 2019 04:00 1 314 15 Apr 2019 05:00 1 315 15 Apr 2019 06:00 1 316 15 Apr 2019 07:00 1 317 15 Apr 2019 08:00 1 318 15 Apr 2019 09:00 1 319 15 Apr 2019 10:00 1 320 15 Apr 2019 11:00 1 321 15 Apr 2019 12:00 1 322 15 Apr 2019 13:00 1 323 15 Apr 2019 14:00 1 324 15 Apr 2019 15:00 1 Instance DB Name Snap Id Snap Started Snap Level ------------ ------------ ---------- ------------------ ---------- orcl ORCL 325 15 Apr 2019 16:00 1 326 15 Apr 2019 17:00 1 327 15 Apr 2019 18:00 1 328 15 Apr 2019 19:00 1 329 15 Apr 2019 20:00 1 330 15 Apr 2019 21:00 1 331 15 Apr 2019 22:00 1 332 15 Apr 2019 23:00 1 333 16 Apr 2019 00:00 1 334 16 Apr 2019 01:00 1 335 16 Apr 2019 02:00 1 336 16 Apr 2019 03:00 1 337 16 Apr 2019 04:00 1 338 16 Apr 2019 05:00 1 339 16 Apr 2019 06:00 1 340 16 Apr 2019 07:00 1 341 16 Apr 2019 08:00 1 342 16 Apr 2019 09:00 1 343 16 Apr 2019 10:00 1 344 16 Apr 2019 11:00 1 345 16 Apr 2019 12:00 1 346 16 Apr 2019 13:00 1 347 16 Apr 2019 14:00 1 348 16 Apr 2019 15:00 1 349 16 Apr 2019 16:00 1 350 16 Apr 2019 17:00 1 351 16 Apr 2019 18:00 1 352 16 Apr 2019 19:00 1 353 16 Apr 2019 20:00 1 354 16 Apr 2019 21:00 1 355 16 Apr 2019 22:00 1 356 16 Apr 2019 23:00 1 357 17 Apr 2019 00:00 1 358 17 Apr 2019 01:00 1 359 17 Apr 2019 02:00 1 Specify the Begin and End Snapshot Ids ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Enter value for begin_snap: 213 --生成开始的id Begin Snapshot Id specified: 213 Enter value for end_snap: 359 --生成结束的id End Snapshot Id specified: 359 Specify the Report Name ~~~~~~~~~~~~~~~~~~~~~~~ The default report file name is awrrpt_1_213_359.html. To use this name, press <return> to continue, otherwise enter an alternative. Enter value for report_name: 选择自己的名字 Using the report name awrrpt_1_213_359.html
具体操作:
1 [oracle@node12c01 ~]$ sqlplus / as sysdba 2 3 SQL*Plus: Release 12.2.0.1.0 Production on Wed Apr 17 02:20:31 2019 4 5 Copyright (c) 1982, 2016, Oracle. All rights reserved. 6 7 8 Connected to: 9 Oracle Database 12c Enterprise Edition Release 12.2.0.1.0 - 64bit Production 10 11 SQL> @?/rdbms/admin/awrrpt.sql --执行生成报表 12 13 Specify the Report Type 14 ~~~~~~~~~~~~~~~~~~~~~~~ 15 AWR reports can be generated in the following formats. Please enter the 16 name of the format at the prompt. Default value is 'html'. 17 18 'html' HTML format (default) 19 'text' Text format 20 'active-html' Includes Performance Hub active report 21 22 Enter value for report_type: html --选择你要生成的类型,类型有上显示 23 old 1: select 'Type Specified: ',lower(nvl('&&report_type','html')) report_type from dual 24 new 1: select 'Type Specified: ',lower(nvl('html','html')) report_type from dual 25 26 Type Specified: html 27 28 old 1: select '&&report_type' report_type_def from dual 29 new 1: select 'html' report_type_def from dual 30 31 32 33 old 1: select '&&view_loc' view_loc_def from dual 34 new 1: select 'AWR_PDB' view_loc_def from dual 35 36 37 38 Current Instance 39 ~~~~~~~~~~~~~~~~ 40 DB Id DB Name Inst Num Instance Container Name 41 -------------- -------------- -------------- -------------- -------------- 42 1532278336 ORCL 1 orcl CDB$ROOT 43 44 45 46 47 48 49 50 51 52 53 54 Instances in this Workload Repository schema 55 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 56 DB Id Inst Num DB Name Instance Host 57 ------------ ---------- --------- ---------- ------ 58 * 1532278336 1 ORCL orcl node12c01 59 60 Using 1532278336 for database Id 61 Using 1 for instance number 62 63 64 Specify the number of days of snapshots to choose from 65 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 66 Entering the number of days (n) will result in the most recent 67 (n) days of snapshots being listed. Pressing <return> without 68 specifying a number lists all completed snapshots. 69 70 71 Enter value for num_days: 7 --选择时间范围 72 73 Listing the last 7 days of Completed Snapshots 74 Instance DB Name Snap Id Snap Started Snap Level 75 ------------ ------------ ---------- ------------------ ---------- 76 77 orcl ORCL 213 11 Apr 2019 00:00 1 78 214 11 Apr 2019 01:00 1 79 215 11 Apr 2019 02:00 1 80 216 11 Apr 2019 03:00 1 81 217 11 Apr 2019 04:00 1 82 218 11 Apr 2019 05:00 1 83 219 11 Apr 2019 06:00 1 84 220 11 Apr 2019 07:00 1 85 221 11 Apr 2019 08:00 1 86 222 11 Apr 2019 09:00 1 87 223 11 Apr 2019 10:00 1 88 224 11 Apr 2019 11:00 1 89 225 11 Apr 2019 12:00 1 90 226 11 Apr 2019 13:00 1 91 227 11 Apr 2019 14:00 1 92 228 11 Apr 2019 15:00 1 93 229 11 Apr 2019 16:00 1 94 230 11 Apr 2019 17:00 1 95 231 11 Apr 2019 18:00 1 96 232 11 Apr 2019 19:00 1 97 233 11 Apr 2019 20:00 1 98 234 11 Apr 2019 21:00 1 99 235 11 Apr 2019 22:00 1 100 236 11 Apr 2019 23:00 1 101 237 12 Apr 2019 00:00 1 102 238 12 Apr 2019 01:00 1 103 239 12 Apr 2019 02:00 1 104 240 12 Apr 2019 03:00 1 105 241 12 Apr 2019 04:00 1 106 242 12 Apr 2019 05:00 1 107 243 12 Apr 2019 06:00 1 108 244 12 Apr 2019 07:00 1 109 245 12 Apr 2019 08:00 1 110 246 12 Apr 2019 09:00 1 111 247 12 Apr 2019 10:00 1 112 248 12 Apr 2019 11:00 1 113 249 12 Apr 2019 12:00 1 114 250 12 Apr 2019 13:00 1 115 251 12 Apr 2019 14:00 1 116 252 12 Apr 2019 15:00 1 117 253 12 Apr 2019 16:00 1 118 254 12 Apr 2019 17:00 1 119 255 12 Apr 2019 18:00 1 120 256 12 Apr 2019 19:00 1 121 257 12 Apr 2019 20:00 1 122 258 12 Apr 2019 21:00 1 123 259 12 Apr 2019 22:00 1 124 260 12 Apr 2019 23:00 1 125 261 13 Apr 2019 00:00 1 126 262 13 Apr 2019 01:00 1 127 263 13 Apr 2019 02:00 1 128 264 13 Apr 2019 03:00 1 129 265 13 Apr 2019 04:00 1 130 266 13 Apr 2019 05:00 1 131 267 13 Apr 2019 06:00 1 132 268 13 Apr 2019 07:00 1 133 Instance DB Name Snap Id Snap Started Snap Level 134 ------------ ------------ ---------- ------------------ ---------- 135 136 orcl ORCL 269 13 Apr 2019 08:00 1 137 270 13 Apr 2019 09:00 1 138 271 13 Apr 2019 10:00 1 139 272 13 Apr 2019 11:00 1 140 273 13 Apr 2019 12:00 1 141 274 13 Apr 2019 13:00 1 142 275 13 Apr 2019 14:00 1 143 276 13 Apr 2019 15:00 1 144 277 13 Apr 2019 16:00 1 145 278 13 Apr 2019 17:00 1 146 279 13 Apr 2019 18:00 1 147 280 13 Apr 2019 19:00 1 148 281 13 Apr 2019 20:00 1 149 282 13 Apr 2019 21:00 1 150 283 13 Apr 2019 22:00 1 151 284 13 Apr 2019 23:00 1 152 285 14 Apr 2019 00:00 1 153 286 14 Apr 2019 01:00 1 154 287 14 Apr 2019 02:00 1 155 288 14 Apr 2019 03:00 1 156 289 14 Apr 2019 04:00 1 157 290 14 Apr 2019 05:00 1 158 291 14 Apr 2019 06:00 1 159 292 14 Apr 2019 07:00 1 160 293 14 Apr 2019 08:00 1 161 294 14 Apr 2019 09:00 1 162 295 14 Apr 2019 10:00 1 163 296 14 Apr 2019 11:00 1 164 297 14 Apr 2019 12:00 1 165 298 14 Apr 2019 13:00 1 166 299 14 Apr 2019 14:00 1 167 300 14 Apr 2019 15:00 1 168 301 14 Apr 2019 16:00 1 169 302 14 Apr 2019 17:00 1 170 303 14 Apr 2019 18:00 1 171 304 14 Apr 2019 19:00 1 172 305 14 Apr 2019 20:00 1 173 306 14 Apr 2019 21:00 1 174 307 14 Apr 2019 22:00 1 175 308 14 Apr 2019 23:00 1 176 309 15 Apr 2019 00:00 1 177 310 15 Apr 2019 01:00 1 178 311 15 Apr 2019 02:00 1 179 312 15 Apr 2019 03:00 1 180 313 15 Apr 2019 04:00 1 181 314 15 Apr 2019 05:00 1 182 315 15 Apr 2019 06:00 1 183 316 15 Apr 2019 07:00 1 184 317 15 Apr 2019 08:00 1 185 318 15 Apr 2019 09:00 1 186 319 15 Apr 2019 10:00 1 187 320 15 Apr 2019 11:00 1 188 321 15 Apr 2019 12:00 1 189 322 15 Apr 2019 13:00 1 190 323 15 Apr 2019 14:00 1 191 324 15 Apr 2019 15:00 1 192 Instance DB Name Snap Id Snap Started Snap Level 193 ------------ ------------ ---------- ------------------ ---------- 194 195 orcl ORCL 325 15 Apr 2019 16:00 1 196 326 15 Apr 2019 17:00 1 197 327 15 Apr 2019 18:00 1 198 328 15 Apr 2019 19:00 1 199 329 15 Apr 2019 20:00 1 200 330 15 Apr 2019 21:00 1 201 331 15 Apr 2019 22:00 1 202 332 15 Apr 2019 23:00 1 203 333 16 Apr 2019 00:00 1 204 334 16 Apr 2019 01:00 1 205 335 16 Apr 2019 02:00 1 206 336 16 Apr 2019 03:00 1 207 337 16 Apr 2019 04:00 1 208 338 16 Apr 2019 05:00 1 209 339 16 Apr 2019 06:00 1 210 340 16 Apr 2019 07:00 1 211 341 16 Apr 2019 08:00 1 212 342 16 Apr 2019 09:00 1 213 343 16 Apr 2019 10:00 1 214 344 16 Apr 2019 11:00 1 215 345 16 Apr 2019 12:00 1 216 346 16 Apr 2019 13:00 1 217 347 16 Apr 2019 14:00 1 218 348 16 Apr 2019 15:00 1 219 349 16 Apr 2019 16:00 1 220 350 16 Apr 2019 17:00 1 221 351 16 Apr 2019 18:00 1 222 352 16 Apr 2019 19:00 1 223 353 16 Apr 2019 20:00 1 224 354 16 Apr 2019 21:00 1 225 355 16 Apr 2019 22:00 1 226 356 16 Apr 2019 23:00 1 227 357 17 Apr 2019 00:00 1 228 358 17 Apr 2019 01:00 1 229 359 17 Apr 2019 02:00 1 230 231 232 Specify the Begin and End Snapshot Ids 233 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 Enter value for begin_snap: 213 --生成开始的id 235 Begin Snapshot Id specified: 213 236 237 Enter value for end_snap: 359 --生成结束的id 238 End Snapshot Id specified: 359 239 240 241 242 Specify the Report Name 243 ~~~~~~~~~~~~~~~~~~~~~~~ 244 The default report file name is awrrpt_1_213_359.html. To use this name, 245 press <return> to continue, otherwise enter an alternative. 246 247 Enter value for report_name: 选择自己的名字 248 249 Using the report name awrrpt_1_213_359.html 250 251 ......................................... 252 253 <td class='awrnc'> 254 CDB$ROOT 255 </td></tr> 256 </table><p /> 257 <hr align="left" width="20%" /><p /> 258 <a class="awr" href="#36">Back to init.ora Parameters</a> 259 <br /><a class="awr" href="#top">Back to Top</a><p /> 260 <p /> 261 <a class="awr" name="99995"></a> 262 <h2>ADDM Task ADDM:1532278336_1_282</h2> 263 <pre> 264 ADDM Report for Task 'ADDM:1532278336_1_282' 265 -------------------------------------------- 266 267 Analysis Period 268 --------------- 269 AWR snapshot range from 281 to 282. 270 Time period starts at 13-APR-19 08.00.39 PM 271 Time period ends at 13-APR-19 09.00.44 PM 272 273 Analysis Target 274 --------------- 275 Database 'ORCL' with DB ID 1532278336. 276 Database version 12.2.0.1.0. 277 ADDM performed an analysis of instance orcl, numbered 1 and hosted at 278 node12c01. 279 280 Activity During the Analysis Period 281 ----------------------------------- 282 Total database time was 191 seconds. 283 The average number of active sessions was .05. 284 285 286 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 287 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 288 289 There are no findings to report. 290 291 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 292 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 293 294 Additional Information 295 ---------------------- 296 297 Miscellaneous Information 298 ------------------------- 299 There was no significant database activity to run the ADDM. 300 301 The database's maintenance windows were active during 99% of the analysis 302 period. 303 304 </pre> 305 <h2>ADDM Task ADDM:1532278336_1_306</h2> 306 <pre> 307 ADDM Report for Task 'ADDM:1532278336_1_306' 308 -------------------------------------------- 309 310 Analysis Period 311 --------------- 312 AWR snapshot range from 305 to 306. 313 Time period starts at 14-APR-19 08.00.33 PM 314 Time period ends at 14-APR-19 09.00.38 PM 315 316 Analysis Target 317 --------------- 318 Database 'ORCL' with DB ID 1532278336. 319 Database version 12.2.0.1.0. 320 ADDM performed an analysis of instance orcl, numbered 1 and hosted at 321 node12c01. 322 323 Activity During the Analysis Period 324 ----------------------------------- 325 Total database time was 180 seconds. 326 The average number of active sessions was .05. 327 328 329 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 330 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 331 332 There are no findings to report. 333 334 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 335 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 337 Additional Information 338 ---------------------- 339 340 Miscellaneous Information 341 ------------------------- 342 There was no significant database activity to run the ADDM. 343 344 The database's maintenance windows were active during 100% of the analysis 345 period. 346 347 </pre> 348 <h2>ADDM Task ADDM:1532278336_1_305</h2> 349 <pre> 350 ADDM Report for Task 'ADDM:1532278336_1_305' 351 -------------------------------------------- 352 353 Analysis Period 354 --------------- 355 AWR snapshot range from 304 to 305. 356 Time period starts at 14-APR-19 07.00.28 PM 357 Time period ends at 14-APR-19 08.00.33 PM 358 359 Analysis Target 360 --------------- 361 Database 'ORCL' with DB ID 1532278336. 362 Database version 12.2.0.1.0. 363 ADDM performed an analysis of instance orcl, numbered 1 and hosted at 364 node12c01. 365 366 Activity During the Analysis Period 367 ----------------------------------- 368 Total database time was 168 seconds. 369 The average number of active sessions was .05. 370 371 372 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 373 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 374 375 There are no findings to report. 376 377 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 378 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 379 380 Additional Information 381 ---------------------- 382 383 Miscellaneous Information 384 ------------------------- 385 There was no significant database activity to run the ADDM. 386 387 The database's maintenance windows were active during 99% of the analysis 388 period. 389 390 </pre> 391 <br /><a class="awr" href="#top">Back to Top</a><p /> 392 <p /> 393 <p /> 394 <p /> 395 <p /> 396 <p /> 397 <p /> 398 <p /> 399 <p /> 400 <p /> 401 End of Report 402 </body></html>