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a given user is that user s followers, and userfollowers will be an array of those users This suggests modeling the following users as in Figure 126, with a following table and a has_many association Since userfollowing should be an array of users, each row of the following table would need to be a user, as identified by the followed_id, together with the follower_id to establish the association2 In addition, since each row is a user, we would need to include the user s other attributes, including the name, password, etc

SELECT ContactName FROM Customers WHERE Country = 'Germany'

I would like to thank the many people who have contributed to the TINI project and this book First and foremost I would like to thank the talented engineers who contributed so much to this long and intense development effort for their hard work and dedication: Kris Ardis, Bryan Armstrong, Tom Chenot, Chris Fox, Stephen Hess, Nicolas Kral, Yolanda Lei, Jesse Marroquin, Caroline McLean, Jeff Owens, David Smiczek, Lorne Smith, Stephen Um eet, and Clayton Ware I would also like to thank my management, Steve Curry and Michael Bolan, for their support and encouragement while I was writing this book I am grateful for the volunteer efforts of many on the TINI SIG, who not only provide fantastic support to new developers but also contribute to the quality and de nition of the platform Thorough and insightful technical reviews of early drafts were provided by Tom Cargill, Steve Curry, Peter Haggar, Judy Loomis, Robert Muchsel, and John Wilson I appreciate all of the excellent feedback I am also grateful to Mike Hendrickson and Heather Olszyk at AddisonWesley, who patiently guided me through the writing process I would also like to thank the copy editor, Debbie Prato, who did a terri c job Finally, many thanks to the folks at Sun Microsystems who allowed me to use their excellent MIF Doclet tool to create the Almanac The legend page of the Almanac is also the result of blatant thievery from the Java Real-Time speci cation

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The problem with the data model in Figure 126 is that it is terribly redundant: each row contains not only each followed user s id, but all their other information as well all of which is already in the users table Even worse, to model user followers we would need a separate followers table Finally, this data model is a maintainability nightmare, since each time a user changed (say) his name, we would need to update not just the user s record in the users table but also every row containing that user in both the following and followers tables The problem here is that we are missing an underlying abstraction One way to find the proper abstraction is to consider how we might implement following in a web application Recall from Section 633 that the REST architecture involves resources that are created and destroyed This leads us to ask two questions: When a user follows another user, what is being created When a user unfollows another user, what is being destroyed Upon reflection, we see that in these cases the application should either create or destroy a relationship (or connection3 ) between two users A user then has_many :relationships, and has many following (or followers) through those relationships Indeed, Figure 126 already contains most of the implementation: since each followed user is uniquely identified by followed_id, we could convert following to a relationships table, omit the user details, and use followed_id to retrieve the followed user from the users table Moreover, by considering reverse relationships, we could use the follower_id column to extract an array of user s followers To make a following array of users, it would be possible to pull out an array of followed_id attributes and then find the user for each one As you might expect, though, Rails has a way to make this procedure more convenient; the relevant technique is known as has_many :through4 As we will see in Section 1214, Rails allows us to say that a user is following many users through the relationships table, using the succinct code.

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