数据库中如何高效率删除大表历史数据

这篇文章主要介绍数据库中如何高效率删除大表历史数据，文中介绍的非常详细，具有一定的参考价值，感兴趣的小伙伴们一定要看完！

我们提供的服务有：成都做网站、网站制作、微信公众号开发、网站优化、网站认证、下陆ssl等。为数千家企事业单位解决了网站和推广的问题。提供周到的售前咨询和贴心的售后服务，是有科学管理、有技术的下陆网站制作公司

清理大表历史数据
通过将非分区表Online Redefinition转换为以删除条件为Range范围分区的Partition-ed Table，再直接Truncate Partiton的方法来加速历史数据的清理， 
同时又不影响业务的在线。
create table order_history as select * from dba_objects;
select count(*) from order_history;
select count(*) from order_history where created < sysdate-365;

  COUNT(*)
———-
     49983
收集统计信息
exec dbms_stats.gather_table_stats('SCOTT','ORDER_HISTORY');

create table order_history_int( 
 OWNER                                              VARCHAR2(30),
 OBJECT_NAME                                        VARCHAR2(128),
 SUBOBJECT_NAME                                     VARCHAR2(30),
 OBJECT_ID                                          NUMBER,
 DATA_OBJECT_ID                                     NUMBER,
 OBJECT_TYPE                                        VARCHAR2(19),
 CREATED                                            DATE,
 LAST_DDL_TIME                                      DATE,
 TIMESTAMP                                          VARCHAR2(19),
 STATUS                                             VARCHAR2(7),
 TEMPORARY                                          VARCHAR2(1),
 GENERATED                                          VARCHAR2(1),
 SECONDARY                                          VARCHAR2(1))
partition by range(created)
( partition p1 values less than (to_date('2010-01-01','YYYY-MM-DD')) tablespace users,
  partition p2 values less than (to_date('2011-01-01','YYYY-MM-DD')) tablespace users,
  partition p3 values less than (to_date('2012-01-01','YYYY-MM-DD')) tablespace users,
  partition p4 values less than (to_date('2013-01-01','YYYY-MM-DD')) tablespace users,
  partition p5 values less than (maxvalue) tablespace users);
  
begin
  dbms_redefinition.can_redef_table(uname        => 'SCOTT',
                                    tname        => 'ORDER_HISTORY',
                                    options_flag => DBMS_REDEFINITION.CONS_USE_ROWID);
end;
/

begin
DBMS_REDEFINITION.START_REDEF_TABLE(uname        => 'SCOTT',
                                      orig_table   => 'ORDER_HISTORY',
                                      int_table    => 'ORDER_HISTORY_INT',
                                      options_flag => DBMS_REDEFINITION.cons_use_rowid);
end;
/

SQL> select count(*) from ORDER_HISTORY_INT;

  COUNT(*)
———-
     50731

DECLARE
  num_errors PLS_INTEGER;
BEGIN
  DBMS_REDEFINITION.COPY_TABLE_DEPENDENTS(uname            => 'SCOTT',
                                          orig_table       => 'ORDER_HISTORY',
                                          int_table        => 'ORDER_HISTORY_INT',
                                          copy_indexes     => 0,
                                          copy_triggers    => TRUE,
                                          copy_constraints => FALSE,
                                          copy_privileges  => TRUE,
                                          ignore_errors    => FALSE,
                                          num_errors       => num_errors,
                                          copy_statistics  => TRUE);
END;
/

begin
  dbms_redefinition.finish_redef_table(uname      => 'SCOTT',
                                       orig_table => 'ORDER_HISTORY',
                                       int_table  => 'ORDER_HISTORY_INT');
end;
/

alter table ORDER_HISTORY truncate partition p1;
alter table ORDER_HISTORY truncate partition p2;
alter table ORDER_HISTORY truncate partition p3;
SQL> select count(*) from ORDER_HISTORY;

  COUNT(*)
———-
       748

以上是“数据库中如何高效率删除大表历史数据”这篇文章的所有内容，感谢各位的阅读！希望分享的内容对大家有帮助，更多相关知识，欢迎关注创新互联行业资讯频道！