I’m currently writing a query that is grabbing data from a table and I want to update one of the columns in that table. The update needs to be based off the distinct values from one column. For example:
Type | ID |
---|---|
x | ID1 |
x | ID1 |
y | ID2 |
y | ID2 |
z | ID3 |
z | ID3 |
The catch here is that I can’t use a loop to do it.
The table has a lot more columns but I’m only sorting it by “Type” and then updating that table and assigning a unique ID based off its “Type”
Any ideas on how to do this?
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Answer
You can use dense_rank() for this:
CREATE TABLE myTable(type VARCHAR(10), id VARCHAR(10)); INSERT INTO myTable VALUES ('x', NULL), ('x', NULL), ('y', NULL), ('y', NULL), ('z', NULL), ('z', NULL); UPDATE myTable JOIN (SELECT type, dense_rank() OVER (ORDER BY type) AS id FROM myTable) ids ON myTable.type = ids.type SET myTable.id = concat('ID', ids.id);
results in
type | id |
---|---|
x | ID1 |
x | ID1 |
y | ID2 |
y | ID2 |
z | ID3 |
z | ID3 |
More information about dense_rank() can be found in the documentation