The second option is to store the review rater’s IP address, with the acknowledgment that most people’s IP addresses change. The first option is not to reflect the review rater at all, trusting that the same person won’t make rate a review multiple times (or, if they do, it’s not a big deal). If anyone can indicate the helpfulness of a review, then there are several solutions to choose from. If the site requires registration for reviewing, commenting upon reviews, and so forth, the review_ratings table would store the review rater’s user ID value. ![]() There’s one thing you may want to add to this table: a representation of the person that indicated the review was or was not helpful (I’ll call this person a “review rater,” as opposed to the original reviewer). The date_entered column isn’t obligatory, but I generally like to timestamp almost every record in a database. The helpful column will be a tiny integer, literally a 1 (helpful) or a 0 (not). The critical column review_idis the foreign key association to a specific review. If you wanted to implement a “Is this review helpful?” feature, you’d also need a table created using: CREATE TABLE `review_ratings` ( `review_rating_id` int(10) unsigned NOT NULL AUTO_INCREMENT, `review_id` int(10) unsigned NOT NULL, `helpful` tinyint(1) unsigned NOT NULL, `date_entered` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, PRIMARY KEY (`id`), KEY `review_id` (`review_id`), KEY `date_entered` (`date_entered`)) You may also consider adding a status column to the table that stores a tiny integer indicating that a review is pending approval (maybe represented by 0), approved (1), or removed as inappropriate (-1). In either case, to create a review system, I would store the product typepages/pdfs or coffee/otherand the specific product ID in this table. In the second example, the products are coffee and coffee-related goodies. In the first example, the products are articles (technically, pages) or PDFs. As for the products, in my Effortless E-Commerce with PHP and MySQL book, both example sites represent all the available products in two separate tables. If the reviewer must be registered, then instead of storing the reviewer’s name and email address, a foreign key to the customers/ users/ reviewers (whatever you call it) table would go here. The exact definition of such a table will depend upon how the site’s products are represented and whether the reviewer needs to be registered or not. The reviews table might be defined like so: CREATE TABLE `reviews` ( `review_id` int(10) unsigned NOT NULL AUTO_INCREMENT, `product_id` mediumint(8) unsigned NOT NULL, `product_type` enum('page','pdf') NOT NULL, `rating` tinyint(1) unsigned NOT NULL, `review` mediumtext NOT NULL, `reviewer_name` varchar(60) NOT NULL, `reviewer_email` varchar(60) NOT NULL, `review_date` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), KEY `review_date` (`review_date`), KEY `product` (`product_id`,`product_type`)) Once you’ve determined how the system will function, you can begin defining the database tables. Note: The best spatial databases are listed in alphabetical order.Learn More Buy Defining the Database Tables Defining the Database Tables ![]() We’ve also included platform and product line names and introductory software tutorials straight from the source so you can see each solution in action. ![]() To make your search a little easier, we’ve profiled the best spatial databases all in one place. Choosing the right vendor and solution can be a complicated process - one that requires in-depth research and often comes down to more than just the solution and its technical capabilities. The editors at Solutions Review have developed this resource to assist buyers in search of the best spatial databases to fit the needs of their organization. Our editors selected the best spatial databases based on each solution’s Authority Score a meta-analysis of real user sentiment through the web’s most trusted business software review sites and our own proprietary five-point inclusion criteria. Solutions Review’s listing of the best spatial databases is an annual mashup of products that best represent current market conditions, according to the crowd.
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