Oracle update 执行更新操作后的数据恢复

时间:2024-09-10 09:37:32

操作数据库,经常会出现误操作,昨天执行的更新操作之后发现更新错了,只能想办法数据恢复了,现在整理一下

第一步:查询执行更新操作的时间

select r.FIRST_LOAD_TIME,r.* from v$sqlarea r order by r.FIRST_LOAD_TIME desc ;

执行上面那条SQL语句,在下图的SQL_TEXT字段找到你执行更新操作的那条更新语句,找到更新操作时间

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" alt="" />

第二步:创建一张新表,把数据恢复到新创建的表里

create table t_table_recove --新表
as
select * from table1--你操作的那张表
as
of timestamp to_timestamp('2016-08-25/11:20:09','yyyy-mm-dd hh24:mi:ss'); --执行更新操操作的时间

第三步:恢复数据(table1是你执行更新操作的那张表 )

delete  table1;--将原表的数据全部删除
insert into table1 select * from t_table_recove;--恢复数据

第四步:查询一下,你更新的数据又还原了

select * from table1