Using Oracle's FLASHBACK command, it is possible to take any table to its previous state (even after commiting some delete statements)
1) You need to enable row movement on the table
2) You can take the table back to its previous state as of any time period
1) alter table table_name enable row movement;
FLASHBACK TABLE table_name TO TIMESTAMP (SYSTIMESTAMP - INTERVAL '10' minute);
or
FLASHBACK TABLE table_name TO TIMESTAMP (SYSTIMESTAMP - INTERVAL '30' second);
Thursday, August 16, 2012
Thursday, August 2, 2012
ORA-00904: "OBJECT_VALUE": invalid identifier
OBJECT_VALUE is the pseudocolumn for xmltype. Its also called as sys_nc_rowinfo$.
It only works if you create a table of xmltype
![](data:image/png;base64,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)
Note that, when you use select * from, the colum name is called SYS_NC_ROWINFO$
![](data:image/png;base64,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)
Alternativley, you can get the column using object_value pseudo column.
![](data:image/png;base64,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)
If you create the same table in a different way, OBJECT_value will not work
![](data:image/png;base64,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)
It only works if you create a table of xmltype
Note that, when you use select * from, the colum name is called SYS_NC_ROWINFO$
Alternativley, you can get the column using object_value pseudo column.
If you create the same table in a different way, OBJECT_value will not work
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