SQL query execution Issue

Question

Hi,
Facing Database performance issue while runing overnight batches.
Generate tfprof output for that batch and found some sql query which is having high elapsed time. Could any one please let me know what is the issue for this. It will also be great help if anyone suggest what need to be done as per tuning of this sql queries so as to get better responce time.
Waiting for your reply.
Effected SQL List:
INSERT INTO INVTRNEE (TRANS_SESSION, TRANS_SEQUENCE, TRANS_ORG_CHILD,
TRANS_PRD_CHILD, TRANS_TRN_CODE, TRANS_TYPE_CODE, TRANS_DATE, INV_MRPT_CODE,
INV_DRPT_CODE, TRANS_CURR_CODE, PROC_SOURCE, TRANS_REF, TRANS_REF2,
TRANS_QTY, TRANS_RETL, TRANS_COST, TRANS_VAT, TRANS_POS_EXT_TOTAL,
INNER_PK_TECH_KEY, TRANS_INNERS, TRANS_EACHES, TRANS_UOM, TRANS_WEIGHT,
TRANS_WEIGHT_UOM )
VALUES
(:B22 , :B1 , :B2 , :B3 , :B4 , :B5 , :B21 , :B6 , :B7 , :B8 , :B20 , :B19 ,
NULL, :B9 , :B10 , :B11 , 0.0, :B12 , :B13 , :B14 , :B15 , :B16 , :B17 ,
:B18 )
call count cpu elapsed disk query current rows
Parse 722 0.09 0.04 0 0 0 0
Execute 1060 7.96 83.01 11442 21598 88401 149973
Fetch 0 0.00 0.00 0 0 0 0
total 1782 8.05 83.06 11442 21598 88401 149973
Misses in library cache during parse: 1
Optimizer goal: CHOOSE
UPDATE /*+ ROWID(TRFDTLEE) */TRFDTLEE SET TRF_STATUS = :B2
WHERE
ROWID = :B1
call count cpu elapsed disk query current rows
Parse 635 0.03 0.01 0 0 0 0
Execute 49902 14.48 271.25 41803 80704 355837 49902
Fetch 0 0.00 0.00 0 0 0 0
total 50537 14.51 271.27 41803 80704 355837 49902
Misses in library cache during parse: 1
Optimizer goal: CHOOSE
DECLARE
var_trans_session     invtrnee.trans_session%TYPE;
BEGIN
-- ADDED BY SHANKAR ON 08/29/97
-- GET THE NEXT AVAILABLE TRANS_SESSION
bastkey('trans_session',0,var_trans_session,'T');
-- MAS001
uk_trfbapuo_auto(var_trans_session,'UPLOAD','T',300);
-- MAS001 end
END;
call count cpu elapsed disk query current rows
Parse 0 0.00 0.00 0 0 0 0
Execute 1 24191.23 24028.57 8172196 10533885 187888 1
Fetch 0 0.00 0.00 0 0 0 0
total 1 24191.23 24028.57 8172196 10533885 187888 1
Misses in library cache during parse: 0
Misses in library cache during execute: 1
Optimizer goal: CHOOSE
SELECT INNER_PK_TECH_KEY
FROM
PRDPCDEE WHERE PRD_LVL_CHILD = :B1 AND LOOSE_PACK_FLAG = 'T'
call count cpu elapsed disk query current rows
Parse 1 0.01 0.00 0 0 0 0
Execute 56081 1.90 2.03 0 0 0 0
Fetch 56081 11.07 458.58 53792 246017 0 56081
total 112163 12.98 460.61 53792 246017 0 56081
Misses in library cache during parse: 1
Optimizer goal: CHOOSE
******************

Answer 1

First off, be aware of the assumptions I'm making. The SQL you presented above strongly suggests (to me at least) that you have cursor for loops. If that's the case, you need to review what their purpose is and look to convert them into single statement DML commands. For example if you have something like this
DECLARE
    ln_Count        NUMBER;
    ln_SomeValue    NUMBER;
BEGIN
    FOR lcr_Row IN (    SELECT pk_id,col1,col2 FROM some_table)
    LOOP
        SELECT
            COUNT(*)
        INTO
            ln_COunt
        FROM
            target_table
        WHERE
            pk_id = lcr_Row.pk_id;
        IF ln_Count = 0 THEN
            SELECT
                some_value
            INTO
                ln_SomeValue
            FROM
                some_other_table
            WHERE
                pk_id = lcr_Row.col1
            INSERT
            INTO
                target_table
                (   pk_id,
                    some_other_value,
                    col2
            VALUES
                (   lcr_Row.col1,
                    ln_SomeValue,
                    lcr_Row.col2
        ELSE
            UPDATE
                target_table
            SET
                some_other_value = ln_SomeValue
            WHERE
                pk_id = lcr_Row.col1;
        END IF;
    END LOOP;
END;                            it could be rewritten as
DECLARE
BEGIN
    MERGE INTO target_table b
    USING ( SELECT
                a.pk_id,
                a.col2,
                b.some_value
            FROM
                some_table a,
                some_other_table b
            WHERE
                b.pk_id = a.col1
           ) e
    ON (b.pk_id = e.pk_id)
    WHEN MATCHED THEN
      UPDATE SET b.some_other_value = e.some_value
    WHEN NOT MATCHED THEN
      INSERT (  b.pk_id,
                b.col2,
                b.some_other_value)
      VALUES(   b.pk_id,
                b.col2,
                b.some_value);
END;It's going to take a bit of analysis and work but the fastest and most scalable way to approach processing data is to use SQL rather than PL/SQL. PL/SQL data processing i.e. cursor loops should be an option of last resort.
HTH
David