根据您的情况,由于您不愿意使用主键数据完整性强制(无论如何都会导致数据损坏),我建议您可以使用MERGE
statment 并保留审核日志以latest thread
更新表。这样,您将能够消除重复记录的条目,并跟踪 id 更新的时间和来源(最新信息)。希望下面的代码片段有所帮助。
---Create dummy table for data with duplicates
DROP TABLE dummy_hist;
CREATE TABLE dummy_hist AS
SELECT LEVEL COL1,
'AVRAJIT'
||LEVEL COL2,
SYSTIMESTAMP ACTUAL_INSERTION_DT,
SYSTIMESTAMP UPD_DT,
1 thread_val
FROM DUAL
CONNECT BY LEVEL < 100;
--Update upd_dt
UPDATE dummy_hist SET upd_dt = NULL,thread_val = NULL;
SELECT * FROM dummy_hist;
--Create function
CREATE OR REPLACE
FUNCTION checkDuplicate(
in_id IN VARCHAR2,
p_thread_val IN NUMBER)
RETURN BOOLEAN
IS
cnt NUMBER;
BEGIN
MERGE INTO dummy_hist A USING
(SELECT in_id VAL FROM dual
)B ON (A.COL1 = B.VAL)
WHEN MATCHED THEN
UPDATE
SET a.upd_dt = systimestamp,
a.thread_val = p_thread_val
WHERE a.col1 = b.val WHEN NOT MATCHED THEN
INSERT
(
a.col1,
a.col2,
a.actual_insertion_dt,
a.UPD_DT,
a.thread_val
)
VALUES
(
b.val,
'AVRAJIT',
SYSTIMESTAMP,
NULL,
p_thread_val
);
COMMIT;
RETURN true;
END;
/
--Execute the fucntion
DECLARE
rc BOOLEAN;
BEGIN
FOR I IN
(SELECT LEVEL LVL FROM DUAL CONNECT BY LEVEL BETWEEN 8 AND 50
)
LOOP
rc:=checkduplicate(I.LVL,3);
END LOOP;
END;
/