[bbk4485]第二章Flashback Database 03
Flashback Database:Examples
To flashback:Mounted(in exlusive mode)databse
RMAN>FLASHBACK DATABASE TO TIME = "TO_DATE('2009-05-27 16:00:00','YYYY-MM-DD HH24:MI:SS')"; RMAN>FLASHBACK DATABASE TO SCN=23536; RMAN>FLASHBACK DATABASE TO SEQUENCE=223 TRHRED=1;
Monitor progress of Flashabck Database with the V$SESSION_LONGOPS view.
SQL>FLASHBACK DATABASE TO TIMESTAMP(SYSDATE-1/24); SQL>FLASHBACK DATABASE TO SCN 533456; SQL>FLASHBACK DATABASE TO RESTORE POINT b4_load;
To review changes:Read-only opened database
To finalize:Read/write opened database with RESETLOGS
实现flashback database 的步骤
1、关闭数据库
shutdown
2、mount数据库
startup mount
3、执行闪回操作
FLASHBACK DATABASE TO TIMESTAME(SYSDATE-1/24);
4、打开数据库
alter database open resetlogs;
第四步骤意义解析：执行完成闪回操作之后，此时的数据文件与控制文件、联机重做日志文件的检查点是不一致的，此时数据库时无法正常打开的（只有三大核心文件对应的检查点一致的时候，数据库才可以正常顺利打开）.alter database open resetlogs的执行意义就在于将数据库文件、控制文件、联机重做你日志文件对应的检查点保持一致.
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flashback database lab.
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一、实验准备
实验用户:U2
实验所使用到的表:T
SQL> desc t; Name Null? Type ----------------------------------------- -------- ---------------------------- EMPLOYEE_ID NUMBER(6) FIRST_NAME VARCHAR2(20) LAST_NAME NOT NULL VARCHAR2(25) EMAIL NOT NULL VARCHAR2(25) PHONE_NUMBER VARCHAR2(20) HIRE_DATE NOT NULL DATE JOB_ID NOT NULL VARCHAR2(10) SALARY NUMBER(8,2) COMMISSION_PCT NUMBER(2,2) MANAGER_ID NUMBER(6) DEPARTMENT_ID NUMBER(4) SQL> select employee_id,last_name,salary from t; EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 198 OConnell 2600 199 Grant 2600 200 Whalen 4400 201 Hartstein 13000 202 Fay 6000 203 Mavris 6500 204 Baer 10000 205 Higgins 12008 206 Gietz 8300 100 King 24000 101 Kochhar 17000 EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 102 De Haan 17000 103 Hunold 9000 104 Ernst 6000 105 Austin 4800 106 Pataballa 4800 107 Lorentz 4200 108 Greenberg 12008 109 Faviet 9000 110 Chen 8200 111 Sciarra 7700 112 Urman 7800 EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 113 Popp 6900 114 Raphaely 11000 115 Khoo 3100 116 Baida 2900 117 Tobias 2800 118 Himuro 2600 119 Colmenares 2500 120 Weiss 8000 121 Fripp 8200 122 Kaufling 7900 123 Vollman 6500 EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 124 Mourgos 5800 125 Nayer 3200 126 Mikkilineni 2700 127 Landry 2400 128 Markle 2200 129 Bissot 3300 130 Atkinson 2800 131 Marlow 2500 132 Olson 2100 133 Mallin 3300 134 Rogers 2900 EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 135 Gee 2400 136 Philtanker 2200 137 Ladwig 3600 138 Stiles 3200 139 Seo 2700 140 Patel 2500 141 Rajs 3500 142 Davies 3100 143 Matos 2600 144 Vargas 2500 145 Russell 14000 EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 146 Partners 13500 147 Errazuriz 12000 148 Cambrault 11000 149 Zlotkey 10500 150 Tucker 10000 151 Bernstein 9500 152 Hall 9000 153 Olsen 8000 154 Cambrault 7500 155 Tuvault 7000 156 King 10000 EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 157 Sully 9500 158 McEwen 9000 159 Smith 8000 160 Doran 7500 161 Sewall 7000 162 Vishney 10500 163 Greene 9500 164 Marvins 7200 165 Lee 6800 166 Ande 6400 167 Banda 6200 EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 168 Ozer 11500 169 Bloom 10000 170 Fox 9600 171 Smith 7400 172 Bates 7300 173 Kumar 6100 174 Abel 11000 175 Hutton 8800 176 Taylor 8600 177 Livingston 8400 178 Grant 7000 EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 179 Johnson 6200 180 Taylor 3200 181 Fleaur 3100 182 Sullivan 2500 183 Geoni 2800 184 Sarchand 4200 185 Bull 4100 186 Dellinger 3400 187 Cabrio 3000 188 Chung 3800 189 Dilly 3600 EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 190 Gates 2900 191 Perkins 2500 192 Bell 4000 193 Everett 3900 194 McCain 3200 195 Jones 2800 196 Walsh 3100 197 Feeney 3000 107 rows selected.
二、模拟误操作你，将表中所有人员工资都改成1000；并记录误操作时间:
SQL> select to_char(sysdate,'yyyy-mm-dd hh24:mi:ss') "sysdate" from dual; sysdate ------------------- 2013-05-15 17:53:00
SQL> update t set salary=1000; 107 rows updated. SQL> commit; Commit complete.
SQL> select employee_id,last_name,salary from t; EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 198 OConnell 1000 199 Grant 1000 200 Whalen 1000 201 Hartstein 1000 202 Fay 1000 203 Mavris 1000 204 Baer 1000 205 Higgins 1000 206 Gietz 1000 100 King 1000 101 Kochhar 1000 EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 102 De Haan 1000 103 Hunold 1000 104 Ernst 1000 105 Austin 1000 106 Pataballa 1000 107 Lorentz 1000 108 Greenberg 1000 109 Faviet 1000 110 Chen 1000 111 Sciarra 1000 112 Urman 1000 EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 113 Popp 1000 114 Raphaely 1000 115 Khoo 1000 116 Baida 1000 117 Tobias 1000 118 Himuro 1000 119 Colmenares 1000 120 Weiss 1000 121 Fripp 1000 122 Kaufling 1000 123 Vollman 1000 EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 124 Mourgos 1000 125 Nayer 1000 126 Mikkilineni 1000 127 Landry 1000 128 Markle 1000 129 Bissot 1000 130 Atkinson 1000 131 Marlow 1000 132 Olson 1000 133 Mallin 1000 134 Rogers 1000 EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 135 Gee 1000 136 Philtanker 1000 137 Ladwig 1000 138 Stiles 1000 139 Seo 1000 140 Patel 1000 141 Rajs 1000 142 Davies 1000 143 Matos 1000 144 Vargas 1000 145 Russell 1000 EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 146 Partners 1000 147 Errazuriz 1000 148 Cambrault 1000 149 Zlotkey 1000 150 Tucker 1000 151 Bernstein 1000 152 Hall 1000 153 Olsen 1000 154 Cambrault 1000 155 Tuvault 1000 156 King 1000 EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 157 Sully 1000 158 McEwen 1000 159 Smith 1000 160 Doran 1000 161 Sewall 1000 162 Vishney 1000 163 Greene 1000 164 Marvins 1000 165 Lee 1000 166 Ande 1000 167 Banda 1000 EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 168 Ozer 1000 169 Bloom 1000 170 Fox 1000 171 Smith 1000 172 Bates 1000 173 Kumar 1000 174 Abel 1000 175 Hutton 1000 176 Taylor 1000 177 Livingston 1000 178 Grant 1000 EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 179 Johnson 1000 180 Taylor 1000 181 Fleaur 1000 182 Sullivan 1000 183 Geoni 1000 184 Sarchand 1000 185 Bull 1000 186 Dellinger 1000 187 Cabrio 1000 188 Chung 1000 189 Dilly 1000 EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 190 Gates 1000 191 Perkins 1000 192 Bell 1000 193 Everett 1000 194 McCain 1000 195 Jones 1000 196 Walsh 1000 197 Feeney 1000 107 rows selected.
三、开始进行flashback database操作
SQL> conn /as sysdba Connected.
SQL> shutdown immediate Database closed. Database dismounted. ORACLE instance shut down.
SQL> startup mount ORACLE instance started. Total System Global Area 3256942592 bytes Fixed Size 2217752 bytes Variable Size 1845496040 bytes Database Buffers 1392508928 bytes Redo Buffers 16719872 bytes Database mounted.
SQL> FLASHBACK DATABASE TO TIMESTAMP TO_TIMESTAMP('2013-05-15 17:53:00','yyyy-mm-dd hh24:mi:ss'); Flashback complete.
SQL> alter database open resetlogs; Database altered.
四、验证数据
SQL> conn U2/U2 Connected. SQL> select employee_id,last_name,salary from t; EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 198 OConnell 2600 199 Grant 2600 200 Whalen 4400 201 Hartstein 13000 202 Fay 6000 203 Mavris 6500 204 Baer 10000 205 Higgins 12008 206 Gietz 8300 100 King 24000 101 Kochhar 17000 EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 102 De Haan 17000 103 Hunold 9000 104 Ernst 6000 105 Austin 4800 106 Pataballa 4800 107 Lorentz 4200 108 Greenberg 12008 109 Faviet 9000 110 Chen 8200 111 Sciarra 7700 112 Urman 7800 EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 113 Popp 6900 114 Raphaely 11000 115 Khoo 3100 116 Baida 2900 117 Tobias 2800 118 Himuro 2600 119 Colmenares 2500 120 Weiss 8000 121 Fripp 8200 122 Kaufling 7900 123 Vollman 6500 EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 124 Mourgos 5800 125 Nayer 3200 126 Mikkilineni 2700 127 Landry 2400 128 Markle 2200 129 Bissot 3300 130 Atkinson 2800 131 Marlow 2500 132 Olson 2100 133 Mallin 3300 134 Rogers 2900 EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 135 Gee 2400 136 Philtanker 2200 137 Ladwig 3600 138 Stiles 3200 139 Seo 2700 140 Patel 2500 141 Rajs 3500 142 Davies 3100 143 Matos 2600 144 Vargas 2500 145 Russell 14000 EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 146 Partners 13500 147 Errazuriz 12000 148 Cambrault 11000 149 Zlotkey 10500 150 Tucker 10000 151 Bernstein 9500 152 Hall 9000 153 Olsen 8000 154 Cambrault 7500 155 Tuvault 7000 156 King 10000 EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 157 Sully 9500 158 McEwen 9000 159 Smith 8000 160 Doran 7500 161 Sewall 7000 162 Vishney 10500 163 Greene 9500 164 Marvins 7200 165 Lee 6800 166 Ande 6400 167 Banda 6200 EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 168 Ozer 11500 169 Bloom 10000 170 Fox 9600 171 Smith 7400 172 Bates 7300 173 Kumar 6100 174 Abel 11000 175 Hutton 8800 176 Taylor 8600 177 Livingston 8400 178 Grant 7000 EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 179 Johnson 6200 180 Taylor 3200 181 Fleaur 3100 182 Sullivan 2500 183 Geoni 2800 184 Sarchand 4200 185 Bull 4100 186 Dellinger 3400 187 Cabrio 3000 188 Chung 3800 189 Dilly 3600 EMPLOYEE_ID LAST_NAME SALARY ----------- ------------------------- ---------- 190 Gates 2900 191 Perkins 2500 192 Bell 4000 193 Everett 3900 194 McCain 3200 195 Jones 2800 196 Walsh 3100 197 Feeney 3000 107 rows selected.
