Kevin:
I assumed the following data:
products_id products_date_available products_quantity
11 2010-05-01 1
11 2010-05-02 0
11 2010-05-03 3
11 2010-05-04 3
11 2010-05-05 3
11 2010-05-06 1
11 2010-05-07 0
11 2010-05-08 3
11 2010-05-09 3
11 2010-05-10 3
11 2010-05-11 3
11 2010-05-12 3
22 2010-05-01 1
22 2010-05-02 2
22 2010-05-03 0
22 2010-05-04 3
22 2010-05-05 3
22 2010-05-06 1
22 2010-05-07 0
22 2010-05-08 3
22 2010-05-09 0
22 2010-05-10 3
22 2010-05-11 3
22 2010-05-12 3
33 2010-05-01 1
33 2010-05-02 2
33 2010-05-03 3
33 2010-05-04 3
33 2010-05-05 3
33 2010-05-06 0
33 2010-05-07 0
33 2010-05-08 3
33 2010-05-09 3
33 2010-05-10 0
33 2010-05-11 3
33 2010-05-12 3
and used the following query:
SELECT products_date_available, COUNT(products_quantity),
SUM(products_quantity)
FROM products
WHERE products_quantity > 0
GROUP BY products_date_available
and got the following results:
products_date_available COUNT SUM
2010-05-01 00:00:00 3 3
2010-05-02 00:00:00 2 4
2010-05-03 00:00:00 2 6
2010-05-04 00:00:00 3 9
2010-05-05 00:00:00 3 9
2010-05-06 00:00:00 2 2
2010-05-08 00:00:00 3 9
2010-05-09 00:00:00 2 6
2010-05-10 00:00:00 2 6
2010-05-11 00:00:00 3 9
2010-05-12 00:00:00 3 9
One line for each day except that 2010-05-07 is missing because each product
had 0 quantity on that day.
For example, on 2010-05-01, there were 3 products (each with a quantity of 1)
for a total quantity of 3.
I wonder if I am representing your situation correctly. What am I missing?
Bob
On May 12, 2010, at 8:00 PM, Keith Clark wrote:
> Hi Bob,
> No, actually it does not. I'm looking for the count of items. From
> your query example I only get two rows. This table has over 2 1/2 years
> of daily sales data.
> Maybe I'm not stating my question correctly...hmmmm....
> Thanks for responding though, greatly appreciated.
> Keith
> On Wed, 2010-05-12 at 19:46 -0500, Bob Cole wrote:
>> Keith:
>> Does this work?
>> SELECT products_date_available, COUNT(products_quantity)
>> FROM products
>> WHERE products_quantity > 0
>> GROUP BY products_date_available
>> Hope this helps,
>> Bob
>> On May 12, 2010, at 3:06 PM, Keith Clark wrote:
>>> On Wed, 2010-05-12 at 10:13 -0400, Keith Clark wrote:
>>>> Chris,
>>>> Here is my full table definition:
>>>>
>>>> CREATE TABLE `products` (
>>>> `products_id` int(15) NOT NULL AUTO_INCREMENT,
>>>> `products_quantity` int(4) NOT NULL,
>>>> `products_model` varchar(15) NOT NULL DEFAULT '',
>>>> `products_image` varchar(64) DEFAULT NULL,
>>>> `products_price` decimal(15,4) DEFAULT NULL,
>>>> `products_date_added` timestamp NULL DEFAULT CURRENT_TIMESTAMP,
>>>> `products_last_modified` datetime DEFAULT '2008-10-01 00:00:00',
>>>> `products_date_available` datetime DEFAULT '2008-10-01 00:00:00',
>>>> `products_weight` decimal(5,2) DEFAULT '0.50',
>>>> `products_status` tinyint(1) NOT NULL DEFAULT '1',
>>>> `products_tax_class_id` int(11) DEFAULT '1',
>>>> `manufacturers_id` int(11) DEFAULT NULL,
>>>> `products_ordered` int(11) DEFAULT '0',
>>>> `products_format` varchar(20) DEFAULT NULL,
>>>> `abebooks_price` decimal(15,4) DEFAULT NULL,
>>>> PRIMARY KEY (`products_id`,`products_model`),
>>>> UNIQUE KEY `products_model` (`products_model`),
>>>> KEY `idx_products_date_added` (`products_date_added`),
>>>> KEY `manufacturers_id` (`manufacturers_id`)
>>>> ) ENGINE=MyISAM AUTO_INCREMENT=17418 DEFAULT CHARSET=latin1
>>>>
>>>> So, I'd like to create a report that grouped by products_date_available,
>>>> counts all records before products_date_available with a
>>>> products_quantity>0.
>>>>
>>>>
>>> I don't think I'm asking this question properly.
>>>
>>> For every date in products_date_available in the table, I'd like to know
>>> the count of items available with products_quantity>0 up until that
>>> date.
>>>
>>> So if there are 500 days in the table, there should be 500 rows in the
>>> report. Each showing the products available as of that date in time.
>>>
>>> I hope that clarifies it. I can write a query to do so for each
>>> individual date, just not a report for all dates at the same time.
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