Deleting duplicate lines
HelloWe need help removing duplicate rows from a table please.
We get the following table:
SSD@ermd> desc person_pos_history
Name Null? Type
------------------------------------------------------------------------ -------- ------------------------
PERSON_POSITION_HISTORY_ID NOT NULL NUMBER(10)
POSITION_TYPE_ID NOT NULL NUMBER(10)
PERSON_ID NOT NULL NUMBER(10)
EVENT_ID NOT NULL NUMBER(10)
USER_INFO_ID NUMBER(10)
TIMESTAMP NOT NULL DATEselect PERSON_ID, count(*)
from person_pos_history
group by PERSON_ID, EVENT_ID
having event_id=3
and count(*) > 1
order by 2
PERSON_ID COUNT(*)
---------- ----------
217045 356
216993 356
226198 356
217248 364
118879 364
204471 380
163943 384
119347 384
208884 384
119328 384
218442 384
141676 480
214679 495
219149 522
217021 636SSD@ermd> select POSITION_ASSIGNMENT_HISTORY_ID, POSITION_TYPE_ID, PERSON_ID,EVENT_ID, to_char(timestamp, 'YYYY-MM-DD HH24:MI:SS')
2 from person_pos_history
3 where EVENT_ID=3
4 and person_id=217045
5 order by timestamp;
PERSON_POSITION_HISTORY_ID POSITION_TYPE_ID PERSON_ID EVENT_ID TO_CHAR(TIMESTAMP,'
------------------------------ ---------------- ---------- ---------- -------------------
222775 38 217045 03 2012-05-07 10:29:49
222774 18 217045 03 2012-05-07 10:29:49
222773 8 217045 03 2012-05-07 10:29:49
222776 2 217045 03 2012-05-07 10:29:49
300469 18 217045 03 2012-05-07 10:32:05
...
...
4350816 38 217045 03 2012-05-08 11:12:43
4367970 2 217045 03 2012-05-08 11:13:19
4367973 8 217045 03 2012-05-08 11:13:19
4367971 18 217045 03 2012-05-08 11:13:19
4367972 38 217045 03 2012-05-08 11:13:19
356 rows selected.You kindly help us with the sql for the removal of duplicates please.
Concerning
Hello
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.
You can include positiion_type in the analytical PARTITION BY clause. Maybe that's what you want:
... , ROW_NUMBER () OVER ( PARTITION BY person_id
, event_id
, position_type -- ***** NEW *****
ORDER BY tmstmp
) AS r_num
...
CREATE TABLE and staements of INSERTION for the sample data and desired outcomes from these data, I'm only guessing.
Tags: Database
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Hello
I have a delicate situation.
my query is like this:
This query returns me 700 records with count (*) = 3select count(*), source, ttype, tdate, qty, rate, cost, charge, impstatus, errorcode, proj_code, res_code, role_code, job_id, extl_id, taskid, rate_curr, cost_curr,ext_source_id, chg_code, inp_type from transimp where ttype = 'X' and res_code = 'NLAB' and tdate >= '01-MAR-2009' group by source, ttype, tdate, qty, rate, cost, charge, impstatus, errorcode, proj_code, res_code, role_code, job_id, extl_id, taskid, rate_curr, cost_curr,ext_source_id, chg_code, inp_type having count(*) > 1
which means that they are duplicates of records in the table (Please note we have a primary key, but these documents are double according to the needs of the company).
I want to remove these duplicates, i.e. after the deletion if I run the same query again, count (*) must be 1.
any thoughts?
Thanks in advance.Dear Caitanya!
It is a DELETE statement that deletes duplicate rows:
DELETE FROM our_table WHERE rowid not in (SELECT MIN(rowid) FROM our_table GROUP BY column1, column2, column3... ;Here Column1, Column2, Column3 is the key for each record.
Be sure to replace our_table with the name of the table for which you want to remove duplicate rows. GROUP BY is used on the columns making up the primary key of the table. This script deletes every line in the group after the first row.I hope this could be of help to you!
Yours sincerely
Florian W.
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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
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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 30Then 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 1158754John
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Hello
I have the following structure
I need to come up with a query that will remove all but one of the duplicate as follows:ID txndate ItemNumber batch gain locator -- ------------ -------- -------- ----- --------- 1 15/05/2011 710 230 20 L123 2 15/05/2011 710 230 20 L123 3 19/05/2011 410 450 70 L456 4 05/05/2011 120 345 60 L721 5 05/05/2011 120 345 60 L721 6 05/05/2011 120 345 60 L721 7 15/06/2012 840 231 40 L435 8 15/05/2011 710 230 20 L123 9 15/05/2011 710 230 20 L123
Thank youID txndate ItemNumber batch gain locator -- ------- ---------- ----- ---- ------- 1 15/05/2011 710 230 20 L123 3 19/05/2011 410 450 70 L456 4 05/05/2011 120 345 60 L721 7 15/06/2012 840 231 40 L435 8 15/05/2011 710 230 20 L123 <== Note this - it needs to appear in 2 places
PS: My apologies for not being able to shape the structure of the table enough but I guess that it conveys the idea.
Published by: user3214090 on January 28, 2013 07:22Based on the sample paper & pencil - no database at hand :(
ID txndate ItemNumber batch gain locator x y z 4 05/05/2011 120 345 60 L721 1 3 1 5 05/05/2011 120 345 60 L721 2 3 2 6 05/05/2011 120 345 60 L721 3 3 3 1 15/05/2011 710 230 20 L123 1 0 1 2 15/05/2011 710 230 20 L123 2 0 2 8 15/05/2011 710 230 20 L123 3 5 1 9 15/05/2011 710 230 20 L123 4 5 2 3 19/05/2011 410 450 70 L456 1 2 1 7 15/06/2012 840 231 40 L435 1 6 1Tabibitosan {message: id = 9535978} aka fixed the difference method should be used (groups - there - must first be generated) NO TESTS!
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Etbin
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change the size of the table and remove the duplicate line
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Compaq - support, drivers and documentation online
http://www.Compaq.com/country/cpq_support.htmlCompaq (HP) - Forums
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Rob Brown - Microsoft MVP<- profile="" -="" windows="" expert="" -="" consumer="" :="" bicycle="" -="" mark="" twain="" said="" it="">
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--------------------
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