I have two MySQL tables: One for items and another to log purchases.I\'m trying to simply list every product in the items table along with the number of times a specific user has purchased that item.I
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Earlier on today I asked this question at SO: Count() and left join problem As indicated, the correct query for my problem is:
I\'m having a problem with the a query which displays a list of shops with the number of products associated with it. I\'ve been playing around with left joins etc for quite a while now but to no avai
I want to show the average of products added in every section(category), daily wise for any month can you help me in that ?
Keep in mind that there\'s no way I can normalize the table, so I\'m having to work with what I got. In the table, the rows are similar to this
if you want to know if COUNT(*) > 0 then you can use EXISTS to make the query more efficient. Is there a way I can make a query more efficient when I want to know if COUNT(*) > 1?
We have a small randomized study that we\'re trying to report numbers for. In this database, we have eight tables that contain different randomization groups (treatment vs. control) for each table tha
I have a Oracle database table like so, which records an item being scanned at a scanning point. ItemsScan