Need to delete duplicate lines
I have two tables MEMBER_ADRESS and MEMBER_ORDER. The MEMBER_ADRESS has the lines duplicated in MEMBER_ID and MATCH_VALUE-based computing. These ADDRESS_IDs duplicate have been used in MEMBER_ORDER. I need to remove duplicates of MEMBER_ADRESS by making sure I keep one with PRIMARY_FLAG = 'Y' and update MEMBER_ORDER. ADDRESS_ID to the MEMBER_ADRESS. ADDRESS_ID I kept.I'm on 11 GR 1 material
Thanks for the help.
CREATE TABLE MEMBER_ADRESS
(
ADDRESS_ID NUMBER,
MEMBER_ID NUMBER,
ADDRESS_1 VARCHAR2(30 BYTE),
ADDRESS_2 VARCHAR2(30 BYTE),
CITY VARCHAR2(25 BYTE),
STATE VARCHAR2(2 BYTE),
ZIPCODE VARCHAR2(10 BYTE),
CREATION_DATE DATE,
LAST_UPDATE_DATE DATE,
PRIMARY_FLAG CHAR(1 BYTE),
ADDITIONAL_COMPANY_INFO VARCHAR2(40 BYTE),
MATCH_VALUE NUMBER(38) GENERATED ALWAYS AS (TO_NUMBER( REGEXP_REPLACE ("ADDITIONAL_COMPANY_INFO"||"ADDRESS_1"||"ADDRESS_2"||"CITY"||"STATE"||"ZIPCODE",'[^[:digit:]]')))
);
Insert into MEMBER_ADRESS
(ADDRESS_ID, MEMBER_ID, ADDRESS_1, ZIPCODE, CREATION_DATE, LAST_UPDATE_DATE, PRIMARY_FLAG, MATCH_VALUE)
Values
(200, 30, '11 Hourse Rd.',
'58754', TO_DATE('08/11/2011 10:56:25', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('08/12/2011 10:34:10', 'MM/DD/YYYY HH24:MI:SS'), 'Y', 1158754);
Insert into MEMBER_ADRESS
(ADDRESS_ID, MEMBER_ID, ADDRESS_1, ZIPCODE, CREATION_DATE, LAST_UPDATE_DATE, PRIMARY_FLAG, MATCH_VALUE)
Values
(230, 12, '101 Banks St',
'58487', TO_DATE('08/11/2011 10:56:25', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('08/12/2011 10:35:42', 'MM/DD/YYYY HH24:MI:SS'), 'N', 10158487);
Insert into MEMBER_ADRESS
(ADDRESS_ID, MEMBER_ID, ADDRESS_1, ZIPCODE, CREATION_DATE, LAST_UPDATE_DATE, PRIMARY_FLAG, MATCH_VALUE)
Values
(232, 12, '101 Banks Street',
'58487', TO_DATE('08/11/2011 10:56:25', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('08/12/2011 10:41:15', 'MM/DD/YYYY HH24:MI:SS'), 'N', 10158487);
Insert into MEMBER_ADRESS
(ADDRESS_ID, MEMBER_ID, ADDRESS_1, ZIPCODE, CREATION_DATE, LAST_UPDATE_DATE, PRIMARY_FLAG, MATCH_VALUE)
Values
(228, 12, '101 Banks St.',
'58487', TO_DATE('08/11/2011 10:56:25', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('08/12/2011 10:38:19', 'MM/DD/YYYY HH24:MI:SS'), 'N', 10158487);
Insert into MEMBER_ADRESS
(ADDRESS_ID, MEMBER_ID, ADDRESS_1, ZIPCODE, CREATION_DATE, LAST_UPDATE_DATE, PRIMARY_FLAG, MATCH_VALUE)
Values
(221, 25, '881 Green Road',
'58887', TO_DATE('08/11/2011 10:56:25', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('08/12/2011 10:34:18', 'MM/DD/YYYY HH24:MI:SS'), 'Y', 88158887);
Insert into MEMBER_ADRESS
(ADDRESS_ID, MEMBER_ID, ADDRESS_1, ZIPCODE, CREATION_DATE, LAST_UPDATE_DATE, PRIMARY_FLAG, MATCH_VALUE)
Values
(278, 28, '2811 Brown St.',
'58224', TO_DATE('08/11/2011 10:56:25', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('08/12/2011 10:36:11', 'MM/DD/YYYY HH24:MI:SS'), 'N', 281158224);
Insert into MEMBER_ADRESS
(ADDRESS_ID, MEMBER_ID, ADDRESS_1, ZIPCODE, CREATION_DATE, LAST_UPDATE_DATE, PRIMARY_FLAG, MATCH_VALUE)
Values
(280, 28, '2811 Brown Street',
'58224', TO_DATE('08/11/2011 10:56:25', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('08/12/2011 10:45:00', 'MM/DD/YYYY HH24:MI:SS'), 'Y', 281158224);
Insert into MEMBER_ADRESS
(ADDRESS_ID, MEMBER_ID, ADDRESS_1, ADDRESS_2, ZIPCODE, CREATION_DATE, LAST_UPDATE_DATE, PRIMARY_FLAG, MATCH_VALUE)
Values
(300, 12, '3421 West North Street', 'x',
'58488', TO_DATE('08/11/2011 10:56:25', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('08/12/2011 10:42:04', 'MM/DD/YYYY HH24:MI:SS'), 'Y', 342158488);
COMMIT;
CREATE TABLE MEMBER_ORDER
(
ORDER_ID NUMBER,
ADDRESS_ID NUMBER,
MEMBER_ID NUMBER
);
Insert into MEMBER_ORDER
(ORDER_ID, ADDRESS_ID, MEMBER_ID)
Values
(3, 200, 30);
Insert into MEMBER_ORDER
(ORDER_ID, ADDRESS_ID, MEMBER_ID)
Values
(4, 230, 12);
Insert into MEMBER_ORDER
(ORDER_ID, ADDRESS_ID, MEMBER_ID)
Values
(5, 228, 12);
Insert into MEMBER_ORDER
(ORDER_ID, ADDRESS_ID, MEMBER_ID)
Values
(6, 278, 28);
Insert into MEMBER_ORDER
(ORDER_ID, ADDRESS_ID, MEMBER_ID)
Values
(8, 278, 28);
Insert into MEMBER_ORDER
(ORDER_ID, ADDRESS_ID, MEMBER_ID)
Values
(10, 230, 12);
COMMIT;
Chris:
In fact, it's a little meaner it seems at first glance, but it seems to work, at least on your sample data.
The update, based on the before and after the sample data.
SQL> SELECT * FROM member_adress;
ADDRESS_ID MEMBER_ID ADDRESS_1 CREATION_DATE LAST_UPDATE_DATE P MATCH_VALUE
---------- ---------- ---------------------- ---------------------- ---------------------- - -----------
228 12 101 Banks St. 08/11/2000 10:56:25 am 08/12/2005 10:38:19 am N 10158487
230 12 101 Banks St 08/11/2000 10:56:25 am 08/12/2006 10:35:42 am N 10158487
232 12 101 Banks Street 08/11/2000 10:56:25 am 08/12/2007 10:41:15 am N 10158487
300 12 3421 West North Street 08/11/2000 10:56:25 am 08/12/2011 10:42:04 am Y 342158488
221 25 881 Green Road 08/11/2000 10:56:25 am 08/12/2011 10:34:18 am Y 88158887
278 28 2811 Brown St. 08/11/2000 10:56:25 am 08/12/2006 10:36:11 am N 281158224
280 28 2811 Brown Street 08/11/2000 10:56:25 am 08/12/2011 10:45:00 am Y 281158224
200 30 11 Hourse Rd. 08/11/2000 10:56:25 am 08/12/2005 10:34:10 am Y 1158754
SQL> SELECT * FROM member_order
2 ORDER BY member_id, order_id;
ORDER_ID ADDRESS_ID MEMBER_ID
---------- ---------- ----------
4 228 12
5 230 12
10 230 12
11 232 12
12 300 12
6 278 28
8 278 28
3 200 30
SQL> UPDATE member_order mo
2 SET address_id = (SELECT address_id
3 FROM (SELECT address_id, member_id, match_value
4 FROM (SELECT address_id, member_id, match_value,
5 ROW_NUMBER () OVER (PARTITION BY member_id, match_value
6 ORDER BY CASE WHEN primary_flag = 'Y' THEN 1
7 ELSE 2 END,
8 GREATEST(NVL(creation_date,TO_DATE('1/1/0001','MM/DD/YYYY')),
9 NVL(last_update_date,TO_DATE('1/1/0001','MM/DD/YYYY'))) desc) rn
10 FROM member_adress)
11 WHERE rn = 1) ma
12 WHERE mo.member_id = ma.member_id and
13 ma.match_value = (SELECT match_value from member_adress maa
14 WHERE maa.address_id = mo.address_id));
SQL> SELECT * FROM member_order
2 ORDER BY member_id, order_id;
ORDER_ID ADDRESS_ID MEMBER_ID
---------- ---------- ----------
4 232 12
5 232 12
10 232 12
11 232 12
12 300 12
6 280 28
8 280 28
3 200 30
Then to remove it, something like:
SQL> DELETE FROM member_adress
2 WHERE rowid NOT IN (SELECT rowid
3 FROM (SELECT rowid,
4 ROW_NUMBER () OVER (PARTITION BY member_id, match_value
5 ORDER BY CASE WHEN primary_flag = 'Y' THEN 1
6 ELSE 2 END,
7 GREATEST(NVL(creation_date,TO_DATE('1/1/0001','MM/DD/YYYY')),
8 NVL(last_update_date,TO_DATE('1/1/0001','MM/DD/YYYY'))) desc) rn
9 FROM member_adress)
10 WHERE rn = 1);
SQL> SELECT * FROM member_adress;
ADDRESS_ID MEMBER_ID ADDRESS_1 CREATION_DATE LAST_UPDATE_DATE P MATCH_VALUE
---------- ---------- ---------------------- ---------------------- ---------------------- - -----------
232 12 101 Banks Street 08/11/2000 10:56:25 am 08/12/2007 10:41:15 am N 10158487
300 12 3421 West North Street 08/11/2000 10:56:25 am 08/12/2011 10:42:04 am Y 342158488
221 25 881 Green Road 08/11/2000 10:56:25 am 08/12/2011 10:34:18 am Y 88158887
280 28 2811 Brown Street 08/11/2000 10:56:25 am 08/12/2011 10:45:00 am Y 281158224
200 30 11 Hourse Rd. 08/11/2000 10:56:25 am 08/12/2005 10:34:10 am Y 1158754
John
Tags: Database
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You kindly help us with the sql for the removal of duplicates please.
ConcerningHello
rsar001 wrote:
... We must maintain a row of data for each unique position_type_id. The query you provided with gratitude deletes lines keep them all not only one line for the id of the person 119129 regardless of which is the position_type_id.In fact, the statement that I posted earlier maintains a line for each separate person_id combnination and event_id; This is what means the analytical PARTITION BY clause. That made this assertion would be clearer if you had a different sample of the value. You posted a rather large set of samples, about 35 lines, but each row has the same person_id, and each row has the same event_id. In your real table, you probably have different values in these columns. If so, you should test with data that looks more like your real table, with different values in these columns.
How can we change the query so that it holds the position_type_id County please before you delete the duplicate rows.
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Hello
You should check with Support Adobe and their Forums.
Adobe support
http://www.Adobe.com/support/PhotoShop - Forums
http://forums.Adobe.com/community/PhotoshopI hope this helps.
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