On Wed, Mar 19, 2008 at 1:04 PM, TG <[EMAIL PROTECTED]> wrote:
>
>  It seems that count(*) pulls all the data from the row then performs a count
>  increment whereas count(did) only pulls the 'did' column.

Again, I don't believe COUNT(*) pulls any data. If there is a row, it
simply counts it. The row could be full of NULLS (if allowed by your
schema - yikes) and it will still be counted. I'd guess that COUNT(1)
does the same thing. COUNT(did) does only examine the `did` column,
but NULL values are excluded from the count.

>  I wonder if count(did) is the same speed as count(1) or if it will depend on
>  how much/what type of data is in 'did'.
>
>
>  I also wonder why count() takes a parameter.  Isn't it always going to count
>  +1 for the row?   I'll have to look that up sometime.

It takes a parameter because it depends on what you want to count.
COUNT(*) will return the number of rows matching the WHERE clause.
COUNT(`column_name`) will return the number of non-NULL values in the
column `column_name`. You could have a million rows in the table, but
if every row has NULL in `column_name`, the COUNT() will return 0.
There is also COUNT(DISTINCT `column_name`), which counts the number
of distinct, non-NULL values in the column.

Andrew

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