在pl/sql中转换带有批量collect/forall的merge子句

az31mfrm  于 2021-08-09  发布在  Java
关注(0)|答案(2)|浏览(310)

我编写了一个过程,其中数据从源表同时更新/插入到目标表。对于较少的记录,该过程工作正常,但当我尝试执行更多记录时,执行该操作需要更多的时间。
在逻辑保持不变的情况下,我们能用大容量collect转换merge子句吗?我找不到任何有用的资源。
我已附上合并程序。

create or replace PROCEDURE TEST1 (
    p_array_size IN NUMBER
) IS

    CURSOR dtls IS SELECT DISTINCT
        account_num

                        FROM
        table1
                        WHERE
        rprtd_till_dt = (
            SELECT
                dt - 1
            FROM
                dates
            WHERE
                id = 'odc'
        );

    TYPE data_tbl IS TABLE OF dtls%rowtype;
    data data_tbl;

    BEGIN 
        DECLARE
        v_noofDays NUMBER:=0;
        currentDt DATE;
        BEGIN 
            SELECT dt INTO  currentDt FROM dates WHERE id = 'odc';        

        BEGIN
            OPEN dtls;
            LOOP
                FETCH dtls BULK COLLECT INTO data LIMIT p_array_size;
                EXIT WHEN data.COUNT = 0;

                FOR i IN 1..data.COUNT         
                LOOP
                    IF(TRUNC(data(i).creation_dt,'MM') = TRUNC(currentDt,'MM')) THEN
                        v_noofDays := currentDt - 1 - data(i).creation_dt;
                    ELSE
                        v_noofDays := currentDt  - TRUNC(currentDt,'MM');
                    END IF;
                    MERGE INTO table1 updtbl USING ( SELECT
                        d.*
                                                                      FROM
                        table2 d,
                        (
                            SELECT
                                b.prdct_id,

                            FROM
                                table3 a,
                                table2 b
                            WHERE
                                a.ir_id = b.ir_id
                                AND   a.price_component_id = b.price_component_id
                                AND   a.financial_institution_id = b.financial_institution_id
                            GROUP BY
                                b.prdct_id,

                        ) e
                        WHERE
                        d.prdct_id = e.prdct_id
                        AND   d.bndng_typ = data(i).bndng_typ
                        AND   d.bndng_val = data(i).bndng_val
                        AND   d.financial_institution_id = data(i).financial_institution_id
                        AND   d.prdct_id = data(i).prdct_id
                        AND   d.prdct_sub_id = data(i).prdct_sub_id
                        AND   d.instrmnt_id = data(i).instrmnt_id
                    )
                    inp ON (
                    updtbl.POS_NUM = data(i).POS_NUM
                    AND updtbl.POS_TYPE = data(i).POS_TYPE
                    AND updtbl.PRICE_COMPONENT_ID = inp.PRICE_COMPONENT_ID
                    AND updtbl.RPRTD_TILL_DT = data(i).RPRTD_TILL_DT
                    )

                    WHEN NOT MATCHED THEN 
                    INSERT VALUES (
                        data(i).loan_account_num,

                        inp.ir_id,
                        inp.price_component_id,

                    )
                     WHEN  MATCHED THEN 
                     update SET SEQ_NUM=1,
                     NET_INTRST_AMT=round(data(i).curr_loan_bal*inp.price_component_value*v_noofDays/36000,2),
                    DM_BTID=200
                    WHERE SEQ_NUM=2;
                    COMMIT; 
                END LOOP;
            END LOOP;
            CLOSE dtls;
        END;
    END;
END TEST1;
/

如果有人能帮我指导语法,对如何实现上述程序使用批量收集会很有帮助。

w41d8nur

w41d8nur1#

我希望这能给你一些想法。避免复制和粘贴,检查语法。

create or replace PROCEDURE TEST1 (
    p_array_size IN NUMBER
) IS

    CURSOR dtls IS SELECT DISTINCT
        account_num

                        FROM
        table1
                        WHERE
        rprtd_till_dt = (
            SELECT
                dt - 1
            FROM
                dates
            WHERE
                id = 'odc'
        );

    TYPE data_tbl IS TABLE OF dtls%rowtype;
    data data_tbl;

    BEGIN 
        DECLARE
        v_noofDays NUMBER:=0;
        currentDt DATE;
        BEGIN 
            SELECT dt INTO  currentDt FROM dates WHERE id = 'odc';        

        BEGIN
            OPEN dtls;
            LOOP
                FETCH dtls BULK COLLECT INTO data LIMIT p_array_size;
                EXIT WHEN data.COUNT = 0;

                FORALL rec in data.first .. data.last

                MERGE INTO table1 updtbl USING (
                        SELECT
                        d.* FROM
                        table2 d,(
                            SELECT
                                b.prdct_id                                
                            FROM
                                table3 a,
                                table2 b
                            WHERE
                                a.ir_id = b.ir_id
                                AND   a.price_component_id = b.price_component_id
                                AND   a.financial_institution_id = b.financial_institution_id
                            GROUP BY
                                b.prdct_id
                        ) e
                        WHERE
                        d.prdct_id = e.prdct_id
                        AND   d.bndng_typ = data(rec).bndng_typ
                        AND   d.bndng_val = data(rec).bndng_val
                        AND   d.financial_institution_id = data(rec).financial_institution_id
                        AND   d.prdct_id = data(rec).prdct_id
                        AND   d.prdct_sub_id = data(rec).prdct_sub_id
                        AND   d.instrmnt_id = data(rec).instrmnt_id
                    )
                    inp ON (
                    updtbl.POS_NUM = data(rec).POS_NUM
                    AND updtbl.POS_TYPE = data(rec).POS_TYPE
                    AND updtbl.PRICE_COMPONENT_ID = data(rec).PRICE_COMPONENT_ID
                    AND updtbl.RPRTD_TILL_DT = data(rec).RPRTD_TILL_DT
                    )
                    WHEN NOT MATCHED THEN 
                    INSERT VALUES (
                        data(rec)                       
                    )
                     WHEN  MATCHED THEN 
                     update SET SEQ_NUM=1,
                     NET_INTRST_AMT=round(data(rec).curr_loan_bal*inp.price_component_value*v_noofDays/36000,2),
                     DM_BTID=200
                     WHERE SEQ_NUM=2;
              END LOOP;
            CLOSE dtls;
        END;
    END;
END TEST1;
w9apscun

w9apscun2#

我知道有点晚了,但是如果你还没有解决它的话,请使用下面的方法

drop table projects;

create table projects (
       proj_id integer not null primary key,
       proj_title varchar2(20)
    );

 insert into projects (proj_id, proj_title) values (1, 'Project One');

 insert into projects (proj_id, proj_title) values (2, 'Project Two');

commit;

 select *
    from projects;

 declare
       type varray_t is varray(2) of projects%rowtype;
       arr varray_t;
    begin
     with test_data as (select 2 as proj_id, 'New Project Two' as proj_title from dual
                          union all select 3 as proj_id, 'New Project Three' as proj_title from dual)
       select proj_id, proj_title
     bulk collect into arr
     from test_data;

    forall i in arr.first .. arr.last
       merge into projects
       using (select arr(i).proj_id as proj_id,
                     arr(i).proj_title as proj_title
                from dual) mrg
          on (projects.proj_id = mrg.proj_id)
        when matched then update set projects.proj_title = mrg.proj_title
        when not matched then insert (proj_id, proj_title) values (mrg.proj_id, mrg.proj_title);

    dbms_output.put_line(sql%rowcount || ' rows merged');

    commit;
 end;

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