Oracle之分区表效率与普通表比较

--范围分区示例
drop table range_part_tab purge;
--注意,此分区为范围分区
create table range_part_tab (id number,deal_date date,area_code number,contents varchar2(4000))
           partition by range (deal_date)
           (
           partition p1 values less than (TO_DATE(2017-02-01, YYYY-MM-DD)),
           partition p2 values less than (TO_DATE(2017-03-01, YYYY-MM-DD)),
           partition p3 values less than (TO_DATE(2017-04-01, YYYY-MM-DD)),
           partition p4 values less than (TO_DATE(2017-05-01, YYYY-MM-DD)),
           partition p5 values less than (TO_DATE(2017-06-01, YYYY-MM-DD)),
           partition p6 values less than (TO_DATE(2017-07-01, YYYY-MM-DD)),
           partition p7 values less than (TO_DATE(2017-08-01, YYYY-MM-DD)),
           partition p8 values less than (TO_DATE(2017-09-01, YYYY-MM-DD)),
           partition p9 values less than (TO_DATE(2017-10-01, YYYY-MM-DD)),
           partition p10 values less than (TO_DATE(2017-11-01, YYYY-MM-DD)),
           partition p11 values less than (TO_DATE(2017-12-01, YYYY-MM-DD)),
           partition p12 values less than (TO_DATE(2018-01-01, YYYY-MM-DD)),
           partition p_max values less than (maxvalue)
           )
           ;


--以下是插入2017年一整年日期随机数和表示福建地区号含义(591到599)的随机数记录,共有10万条,如下:
insert into range_part_tab (id,deal_date,area_code,contents)
      select rownum,
             to_date( to_char(sysdate-365,J)+TRUNC(DBMS_RANDOM.VALUE(0,365)),J),
             ceil(dbms_random.value(590,599)),
             rpad(*,400,*)
        from dual
      connect by rownum <= 100000;
commit;


--分区原理分析之普通表插入
drop table norm_tab purge;
create table norm_tab (id number,deal_date date,area_code number,contents varchar2(4000));
insert into norm_tab(id,deal_date,area_code,contents)
      select rownum,
             to_date( to_char(sysdate-365,J)+TRUNC(DBMS_RANDOM.VALUE(0,365)),J),
             ceil(dbms_random.value(590,599)),
             rpad(*,400,*)
        from dual
      connect by rownum <= 100000;
commit;




set linesize 1000
set autotrace on 


select count(*) from norm_tab where deal_date>=TO_DATE(2017-09-01, YYYY-MM-DD)

and deal_date <= TO_DATE(2017-09-30, YYYY-MM-DD);



select count(*) from range_part_tab where deal_date>=TO_DATE(2017-09-01, YYYY-MM-DD)

and deal_date <= TO_DATE(2017-10-30, YYYY-MM-DD);


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