oracle, 过程, table with params

oracle, procedure, table with params

我想在 Oracle PL/SQL 中创建一个允许基于参数分析现金流量的过程。

create table cfl_param (
contract_type varchar2(20),
new_cfl_month number,
cfl_percentage number
);

create table cfl_table (
contract_id varchar2(20),
contract_type varchar2(20),
cfl_analyze varchar2(20),
cfl_date date,
cfl_value number
);


insert into cfl_param values
('A', 6, 0.4);

insert into cfl_param values
('A', 9, 0.3);

insert into cfl_table values
('A_1', 'A', 'N', date '2020-07-31', 1000);

Table cfl_param 具有适用于每种合同类型的参数,例如新现金流量日期和新现金流量百分比。在我的例子中 contract_type A,有两个日期的新现金流,第一个在 6 个月内(​​cfl_value 的 40%),第二个在 9 个月内(​​cfl_value 的 30%)。

Table 'cfl_table' 有关于现金流量的数据,原来每个 contract_id 在 cfl_analyze.

列中有值 'N'

对于值为 'A' 的 contract_type,该过程必须插入​​ 3 个新行:2 个带有新日期以及 cfl_value 的 30% 和 40%,另一个带有 30%价值但最初 cfl_date。我想得到这样的东西:

Table with results of the procedure

你真的不需要手术。您可以使用如下查询生成额外值:

select ct.contract_id, ct.contract_type, 'Y' as cfl_analyze,
  ct.cfl_date, 0.3 * ct.cfl_value as cfl_value
from cfl_table ct
where ct.contract_id = 'A_1'
union all
select ct.contract_id, ct.contract_type, 'Y' as cfl_analyze,
  add_months(ct.cfl_date, cp.new_cfl_month) as cfl_date,
  ct.cfl_value * cp.cfl_percentage as cfl_value
from cfl_table ct
join cfl_param cp on cp.contract_type = ct.contract_type
where ct.contract_id = 'A_1';

CONTRACT_ID          CONTRACT_TYPE        C CFL_DATE    CFL_VALUE
-------------------- -------------------- - ---------- ----------
A_1                  A                    Y 2020-07-31        300
A_1                  A                    Y 2021-01-31        400
A_1                  A                    Y 2021-04-30        300

工会第一个分支获得固定30%值的原始日期;联合的第二个分支根据参数计算其他日期和值。

然后你可以在插入语句中使用它:

insert into cfl_table (contract_id, contract_type, cfl_analyze, cfl_date, cfl_value)
select ct.contract_id, ct.contract_type, 'Y', ct.cfl_date, 0.3 * ct.cfl_value
from cfl_table ct
where ct.contract_id = 'A_1'
union all
select ct.contract_id, ct.contract_type, 'Y',
  add_months(ct.cfl_date, cp.new_cfl_month),
  ct.cfl_value * cp.cfl_percentage
from cfl_table ct
join cfl_param cp on cp.contract_type = ct.contract_type
where ct.contract_id = 'A_1';

3 rows inserted.

select * from cfl_table;

CONTRACT_ID          CONTRACT_TYPE        CFL_ANALYZE          CFL_DATE    CFL_VALUE
-------------------- -------------------- -------------------- ---------- ----------
A_1                  A                    N                    2020-07-31       1000
A_1                  A                    Y                    2020-07-31        300
A_1                  A                    Y                    2021-01-31        400
A_1                  A                    Y                    2021-04-30        300

db<>fiddle

如果您愿意或需要,您当然可以将其包装在一个过程中。

如果将 30% 添加为额外参数,会简单一些:

insert into cfl_param values
('A', 0, 0.3);

那么你就不需要联合了:

insert into cfl_table (contract_id, contract_type, cfl_analyze, cfl_date, cfl_value)
select ct.contract_id, ct.contract_type, 'Y',
  add_months(ct.cfl_date, cp.new_cfl_month),
  ct.cfl_value * cp.cfl_percentage
from cfl_table ct
join cfl_param cp on cp.contract_type = ct.contract_type
where ct.contract_id = 'A_1';

db<>fiddle

我认为您需要使用 UNION ALL 来生成额外的记录,如下所示:

INSERT INTO CFL_TABLE (CONTRACT_ID, CONTRACT_TYPE, CFL_ANALYZE, CFL_DATE, CFL_VALUE
)
    SELECT CT.CONTRACT_ID,
           CT.CONTRACT_TYPE,
           'Y' AS CFL_ANALYZE,
           ADD_MONTHS(CT.CFL_DATE, CP.NEW_CFL_MONTH) AS CFL_DATE,
           CT.CFL_VALUE * CP.CFL_PERCENTAGE AS CFL_VALUE
      FROM CFL_TABLE   CT
      JOIN CFL_PARAM   CP ON CP.CONTRACT_TYPE = CT.CONTRACT_TYPE
     WHERE CT.CONTRACT_ID = 'A_1'
    UNION ALL
    SELECT CT.CONTRACT_ID,
           CT.CONTRACT_TYPE,
           'Y' AS CFL_ANALYZE,
           CT.CFL_DATE,
           CT.CFL_VALUE * CP.CFL_PERCENTAGE AS CFL_VALUE
      FROM CFL_TABLE CT
      JOIN (
        SELECT CONTRACT_TYPE,
               1 - SUM(CFL_PERCENTAGE) AS CFL_PERCENTAGE
          FROM CFL_PARAM
         GROUP BY CONTRACT_TYPE
    ) CP
    ON CP.CONTRACT_TYPE = CT.CONTRACT_TYPE
     WHERE CT.CONTRACT_ID = 'A_1'