I have two tables, one stores the products and quantity we have bought, the other stores the sells. The current stock is therefore the sum of all the quantity columns in the bought table minus the number of rows in the sells table. How can this be expressed in MySQL. Remember that there are many different products.
EDIT: To make it harder, I have another requirement. I have the bought table, the sold table, but I also have the products table. I want a list of all the products, and I want to know the quantity available of each product. The problem with the current answers is that they only return the products that we have sold or bought already. I want all the products.
SELECT (SELECT count(*) from table1)=(SELECT count(*) from table2) AS RowCountResult; as a boolean result will be returned.
If you need a quick way to count rows that contain data, select all the cells in the first column of that data (it may not be column A). Just click the column header. The status bar, in the lower-right corner of your Excel window, will tell you the row count.
So, @@RowCount is used to check number of rows affected only after a query execution. But Count(*) is a function, which will return number of rows fetched from the SELECT Query only. After SELECT statement also giving number of row retrived from the query.
Try this
SELECT inv_t.product_id, inventory_total-nvl(sales_total,0)
FROM
(SELECT product_id, sum(quantity) as inventory_total
FROM inventory
GROUP BY product_id) inv_t LEFT OUTER JOIN
(SELECT product_id, count(*) AS sales_total
FROM sales
GROUP BY product_id) sale_t
ON (inv_t.product_id = sale_t.product_id)
This is a better solution than a few of the other ones posted, which do not account for the fact that some products may not have any corresponding rows in the sales table. You want to make sure that such products also show up in the results.
NVL is an Oracle-specific function that returns the value of the first argument, unless it's null, in which case it returns the value of the second argument. There are equivalent functions in all commercial DBMSes -- you can use CASE in MySQL to the same effect.
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