• Repost - originally posted 24-10-2012

Implicit conversions and poor performance


Whilst debugging a slow query recently and went through the usual suspects. There were indexes on join columns, all the table joins were defined, no table scans were being done. What we eventually found was that on a join of two large tables that the join columns had different datatypes. This was causing an implicit conversion to occur and because of the table size was causing performance issues. After doing some testing we were able to change the datatype from a char to an int. This matched the datatype of the other column and the query performed better. No change to the query but a change to the underlying datatype. We had to drop the index on this column and have an outage window to make the datatype change, then recreate the index.

These implicit conversions also apply to stored procedures and functions where your parameter datatype should match your variable datatype which should be the same as your table datatype. Keeping them all the same can make a big difference.


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