Bob,
Here are a few rows of my data:
17462, 0, '0929998596', '/GraphicNovels/0929998596.jpg', '8.5000',
'2010-05-12 19:02:47', '2008-10-01 00:00:00', '2008-10-01 00:00:00',
'0.50', 1, 1, 7429, 0, '1',
17461, 1, '1561481912', '/Cooking/1561481912.jpg', '3.0000', '2010-05-12
19:00:17', '2008-10-01 00:00:00', '2008-10-01 00:00:00', '0.50', 1, 1,
7428, 0, '1',
Here is the query I ran:
SELECT date(products_date_available) as Date,
COUNT(products_quantity) as 'Titles Available',
SUM(products_quantity) as 'Books Available'
FROM products
WHERE products_quantity > 0
GROUP BY date(products_date_available);
And I only got back two rows from over 2 years of daily entries:
'2008-01-01', 3327, '3736'
'2008-10-01', 2739, '2904'
I'm not sure I understand where I'm going wrong.
Keith
On Wed, 2010-05-12 at 21:54 -0500, Bob Cole wrote:
> 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.
>
>
