Bill, here is one approach:

The following query will return the id's that should NOT be deleted:
  Select min (id) from icd9x10 group by icd9, icd10

Once you run it and happy with the results then you subquery it in a DELETE 
statement. Something like:
   Delete from icd9x10 A where A.id not in (Select min (B.id) from icd9x10 B 
group by B.icd9, B.icd10).

I have not tested it (sorry it is a weekend here...), but I hope it will lead 
you into the right direction.

David.


David Lerer | Director, Database Administration | Interactive | 605 Third 
Avenue, 12th Floor, New York, NY 10158
Direct: (646) 487-6522 | Fax: (646) 487-1569 | dle...@univision.net | 
www.univision.net

-----Original Message-----
From: william drescher [mailto:will...@techservsys.com]
Sent: Saturday, March 29, 2014 2:26 PM
To: mysql@lists.mysql.com
Subject: Help with cleaning up data

I am given a table: ICD9X10 which is a maping of ICD9 codes to
ICD10 codes.  Unfortunately the table contains duplicate entries
that I need to remove.

CREATE TABLE `ICD9X10` (
  `id` smallint(6) NOT NULL AUTO_INCREMENT,
  `icd9` char(8) NOT NULL,
  `icd10` char(6) NOT NULL,
  PRIMARY KEY (`id`),
  UNIQUE KEY `icd9` (`icd9`,`id`),
  UNIQUE KEY `icd10` (`icd10`,`id`)
) ENGINE=InnoDB AUTO_INCREMENT=671 DEFAULT CHARSET=ascii

id   icd9  icd10
25   29182 F10182
26   29182 F10282
27   29182 F10982

I just can't think of a way to write a querey to delete the
duplicates.  Does anyone have a suggestion ?

bill


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