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 (
On 29-03-2014 19:26, william drescher wrote:
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.
...
I just can't think of a way to write a querey to delete the duplicates.
Does anyone have a sugg
Hi Bill,
How big is your table? It seems to me that you might want to change your
unique keys to something like (icd9, icd10), thus guaranteeing that every
mapping will exist only once in your table. You could create a new table
with that constraint and copy all your data to it:
CREATE TABLE `ICD
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`),
U
