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From:David Lerer Date:March 30 2014 3:18am
Subject:RE: Help with cleaning up data
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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 not in (Select min ( 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 Lerer | Director, Database Administration | Interactive | 605 Third Avenue, 12th Floor, New York, NY 10158
Direct: (646) 487-6522 | Fax: (646) 487-1569 | dlerer@stripped |

-----Original Message-----
From: william drescher [mailto:william@stripped]
Sent: Saturday, March 29, 2014 2:26 PM
To: mysql@stripped
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.

  `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`)

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 ?


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Help with cleaning up datawilliam drescher29 Mar
  • Re: Help with cleaning up dataFran Garcia29 Mar
  • Re: Help with cleaning up dataCarsten Pedersen29 Mar
  • RE: Help with cleaning up dataDavid Lerer30 Mar
  • Re: Help with cleaning up datawilliam drescher30 Mar
Re: Help with cleaning up dataBob Eby31 Mar