例如,我有两个模式: SCHEMA_1 和 SCHEMA_2 。在 SHEMA_1 中,我有一个名为 TABLE 的表。该表包括两个字段:FIELD_1,FIELD_2。在FIELD_1的TABLE中,我有一些字母:A,B,C。FIELD_2有表格' SCHEMA 2的名称:TABLE_10,TABLE_20,TABLE_30。
SCHEMA_2 包含三个表: TABLE_10 , TABLE_20 , TABLE_30 以及一些数字。 enter image description here
我必须编写查询以获取SCHEMA_2中每个表的最大数量。我怎样才能得到这个结果> enter image description here
答案 0 :(得分:0)
试试这个:
create table schema1.tableA
(field_1 char(1),
field_2 varchar(10));
insert into schema1.tableA
values ('A','table_10'),
('B','table_20'),
('C','table_30');
create table schema2.table_10
(field_1 dec(5,0));
insert into schema2.table_10
values (20), (30), (40);
create table schema2.table_20
(field_1 dec(5,0));
insert into schema2.table_20
values (6), (9), (12);
create table schema2.table_30
(field_1 dec(5,0));
insert into schema2.table_30
values (10), (15), (20);
with tmp (table_name, field_1) as (
select 'table_10', max(field_1) from schema2.table_10
union all
select 'table_20', max(field_1) from schema2.table_20
union all
select 'table_30', max(field_1) from schema2.table_30)
select a.field_1, b.field_1
from schema1.tableA a
join tmp b on b.table_name = a.field_2;
如果您有太多的表来完成上述工作,您可以使用这样的用户定义函数:
create or replace function MaxNbr
(p_TableName varchar(128),
p_TableSchema varchar(128))
Returns dec(5,0)
language sql
not deterministic
no external action
reads sql data
returns null on null input
not fenced
begin
declare l_stmt varchar(1024);
declare l_table varchar(128);
declare l_schema varchar(128);
declare l_result dec(5,0);
set l_table = replace(upper(p_TableName),'"','');
set l_schema = replace(upper(p_TableSchema),'"','');
set l_stmt = 'values (select max(field_1) from "' || l_schema || '"."' ||
trim(l_table) || '") into ?';
prepare S1 from l_stmt;
allocate sql descriptor 'D1';
describe S1 using sql descriptor 'D1';
execute S1 into sql descriptor 'D1';
get sql descriptor 'D1' value 1 l_result = data;
deallocate sql descriptor 'D1';
return l_result;
end;
这是必要的,因为您不能将变量用于表名或模式名称等标识符。
要使用用户定义的功能,您可以执行以下操作:
set schema schema1;
set path = udf_schema;
select field_1, MaxNbr(field_2, 'schema2') as field_2
from tableA;