MySQL Count Query excluding records when joining

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. If they have purchased it 0 times I would like for it to still list the item, but say 0. My current query seems exclude records with 0 purchases.

Here's my current query.. I've tried GROUP BY i.item_id as well:

SELECT i.item_id, i.item_name, i.item_sku, i.item_price, COUNT(p.item_id) as purchase_count 
FROM items i 
LEFT OUTER JOIN purchases p 
ON p.item_id = i.item_id 
WHERE p.user_id = '1' 
GROUP BY p.item_id
ORDER BY i.item_name ASC

Here's the table creation SQL:

CREATE TABLE `items` (
  `item_id` int(11) NOT NULL AUTO_INCREMENT,
  `item_name` varchar(100) NOT NULL,
  `item_sku` varchar(100) NOT NULL,
  `item_price` decimal(19,4) NOT NULL,
  PRIMARY KEY (`item_id`)
) ENGINE=MyISAM  DEFAULT CHARSET=latin1 AUTO_INCREMENT=5 ;

INSE开发者_JAVA百科RT INTO `items` VALUES(1, 'Item One', 'ITEM1', 99.9900);
INSERT INTO `items` VALUES(2, 'Item Two', 'ITEM2', 19.9900);
INSERT INTO `items` VALUES(3, 'Item Three', 'ITEM3', 10.9900);
INSERT INTO `items` VALUES(4, 'Item Four', 'ITEM4', 4.9900);

CREATE TABLE `purchases` (
  `purchase_id` int(11) NOT NULL AUTO_INCREMENT,
  `user_id` int(11) NOT NULL,
  `item_id` int(11) NOT NULL,
  `purchase_date` datetime NOT NULL,
  PRIMARY KEY (`purchase_id`),
  KEY `user_id` (`user_id`,`item_id`)
) ENGINE=MyISAM  DEFAULT CHARSET=latin1 AUTO_INCREMENT=4 ;

INSERT INTO `purchases` VALUES(1, 1, 1, '2011-02-01 12:01:38');
INSERT INTO `purchases` VALUES(2, 1, 2, '2011-01-03 12:01:45');
INSERT INTO `purchases` VALUES(3, 1, 1, '2011-02-08 12:02:17');

Thanks for any help! I thought that as a left outer join it would display all items.

You will likely need a subquery for this, as with your current query the WHERE clause will constrain your results to rows from the purchase table where the user_id = 1. If you remove the WHERE clause from your query you'll see what I mean.

I will update this momentarily with code to support a solution that uses a subquery.

UPDATE Here is the SQL code you will need for your query:

SELECT i.item_id, i.item_name, i.item_sku, i.item_price, 
(SELECT COUNT(*) FROM purchases where item_id=i.item_id and user_id='1') as purchase_count 
FROM items i
ORDER BY i.item_name ASC

UPDATE

SELECT item_id,
       item_name,
       item_sku,
       item_price,
       IF(user_id != 1, 0, purchase_count) AS purchase_count
FROM  (SELECT i.*,
          p.user_id,
              COUNT(p.item_id) AS purchase_count
       FROM   items i
              LEFT JOIN purchases p
                ON p.item_id = i.item_id
       GROUP  BY i.item_id
       ORDER  BY i.item_name ASC) AS tbl