在Oracle中的分析函数都是基于某几个字段划分计算窗口，然后在窗口内进行聚合，排名，等等计算。我想如果我们数据表的hash分区字
在Oracle中的分析函数都是基于某几个字段划分计算窗口，然后在窗口内进行聚合，排名，等等计算。我想如果我们数据表的hash分区字段与分析函数中的partition by 字段一致的时候，应该可以大大加快分析函数的运行效率。因为每个分区上的数据可以单独进行运算。互不干涉，下面试验来验证我的想法.
第一步：创建一个分区表和普通表，表结构与DBA_OBJECTS一致：
create table t_partition_hash(
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 hash(object_type)(
partition t_hash_p1 tablespace USERS,
partition t_hash_p2 tablespace USERS,
partition t_hash_p3 tablespace USERS,
partition t_hash_p4 tablespace USERS,
partition t_hash_p5 tablespace USERS,
partition t_hash_p6 tablespace USERS,
partition t_hash_p7 tablespace USERS,
partition t_hash_p8 tablespace USERS
);
create table t_big_hash(
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)
);
第二步：准备数据，从dba_object中把数据插入到两个表。总共插入数据1610880。
insert into t_partition_hash select * from dba_objects;
insert into t_partition_hash select * from dba_objects;
第三步：本采用RANK函数对两个表进行查询。
begin
insert into t_rank
select object_id,
rank() over (partition by object_type order by object_id) r_object_id,
rank() over (partition by object_type order by subobject_name) r_subobject_name ,
rank() over (partition by object_type order by created) r_created,
rank() over (partition by object_type order by last_ddl_time) r_last_ddl_time ,
rank() over (partition by object_type order by status) r_object_type
from t_partition_hash;
end;
使用hash分区表总共执行5次的运行时间分别为：46.156s,33.39s,40.516s 34.875s 38.938s.
begin
insert into t_rank
select object_id,
rank() over (partition by object_type order by object_id) r_object_id,
rank() over (partition by object_type order by subobject_name) r_subobject_name ,
rank() over (partition by object_type order by created) r_created,
rank() over (partition by object_type order by last_ddl_time) r_last_ddl_time ,
rank() over (partition by object_type order by status) r_object_type
from t_big_table;
end;
使用非分区表执行5次的执行时间分别为：141.954s，89.656s，77.906s，，98.5s，75.906s.
由此可见采用有效的HASH分区表可以有效提升分析函数在oracle中的执行效率。我相信随着数据量的增加，将会有更明显的效果，回头再测试一个项目中遇到的类似问题。
