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This will monitor the log for changes and print them out to the screen. Run the unit tests again. You should see the following output from the test_has_many_ and_belongs_to_mapping test that you just implemented: SQL (0.000000) BEGIN Publisher Columns (0.000000) SHOW FIELDS FROM publishers Publisher Load (0.016000) SELECT * FROM publishers WHERE (publishers.`name` = ' Book Columns (0.000000) SHOW FIELDS FROM books SQL (0.000000) SELECT count(*) AS count_all FROM books WHERE (books.publisher_i Author Columns (0.015000) SHOW FIELDS FROM authors Author Load (0.000000) SELECT * FROM authors WHERE (authors.`first_name` = 'Joe Author Load (0.000000) SELECT * FROM authors WHERE (authors.`first_name` = ' Book Load (0.000000) SELECT * FROM books WHERE (books.publisher_id = 1) SQL (0.000000) INSERT INTO books (`isbn`, `updated_at`, `page_count`, `price authors_books Columns (0.016000) SHOW FIELDS FROM authors_books SQL (0.000000) INSERT INTO authors_books (`author_id`, `book_id`) VALUES (1, authors_books Columns (0.000000) SHOW FIELDS FROM authors_books SQL (0.000000) INSERT INTO authors_books (`author_id`, `book_id`) VALUES (2, Publisher Load (0.000000) SELECT * FROM publishers WHERE (publishers.id = 1) LI Book Load (0.000000) SELECT * FROM books WHERE (books.id = 9) LIMIT 1 SQL (0.000000) SELECT count(*) AS count_all FROM books WHERE (books.publisher_i Join Table Columns (0.015000) SHOW FIELDS FROM authors_books Author Load (0.000000) SELECT * FROM authors INNER JOIN authors_books ON author SQL (0.329000) ROLLBACK As you can see from the first and last line in the sample output, each test is wrapped in a transaction, and changes done by the test are rolled back at the end of the test.

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Index: Calculates the weight that an item contributes to the overall total. See each region s sales of a product as compared to product sales, region sales, and the overall sales. In the following examples, you ll use each of these custom calculations with the food company sales data to compare results between regions, across a time period, or among products.

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I ve already mentioned the built-in type HasFolderAndAutoId, provided in the Base Domain Library. Consider line 16 in Figure 7-15. The extent declaration in the earlier version of the code was MfgComponents : {MfgComponent*} This was dependent on the identity constraint in the earlier MfgComponent type declaration, so it broke when you removed that identity constraint. Since you are getting ready to add an updatable view called MfgComponents, you must rename the actual extent to MfgComponentsTable. This is (usually) the convention whenever the folder pattern is retrofitted into a model. So the new line of code becomes MfgComponentsTable : { (HasFolderAndAutoId & MfgComponent)* } The new name of the extent becomes MfgComponentsTable, and the collection becomes (HasFolderAndAutoId & MfgComponent)*. HasFolderAndAutoId is essentially a type that has a Folder value and an auto-incremented identity, and nothing else in terms of attributes. As I mentioned in the first section of the chapter, (HasFolderAndAutoId & MfgComponent) is called a mix-in type: It combines the values of both types. It s like saying I m a MfgComponent type, and, by the way, I have a Folder and an AutoNumber Id. Figure 7-15 shows the model code with the new extent definition added.

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Next, we ll add a fixture that contains the data needed in the authors_books join table. We will use the data in the next section when writing a unit test that tests the many-to-many mapping. Create a new file named test/fixtures/authors_books.yml and add the following code: pro_rails_ecommerce_1: author_id: 1 book_id: 1 pro_rails_ecommerce_2: author_id: 2 book_id: 1 The fixture links the two authors defined in the authors fixture to a record found in the books fixture.

The sales manager of the food company wants a report that highlights the differences in sales between two regions. In which categories is the North region doing better, and how big is the difference in sales for each category You ll use the Difference From custom calculation in the pivot table so it shows the difference, instead of the total sales, for each category. In the pivot table, Category is in the Row Labels area, Region is in the Column Labels area, and Sum of TotalPrice is in the Values area. 1. In the pivot table, right-click one of the value cells. For example, right-click cell B6, which is the total for cookies in the East. 2. In the context menu, click Summarize Data By, and then click More Options (see Figure 9-2).

Change the fixtures declaration in the app/test/unit/book_test.rb file to use the new fixture: fixtures :publishers, :authors, :books, :authors_books Next, implement a test that verifies that the many-to-many mapping works. This test will verify that you can access the list of authors of a specific book by calling book.authors, and that you, from the author s perspective, are able to access the list of books an author has written by calling author.books. Open test/unit/book_test.rb and add the following method to the end of the file. def test_has_and_belongs_to_many_authors_mapping book = Book.new( :title => 'Rails E-Commerce 3nd Edition', :publisher => Publisher.find_by_name('Apress'), :authors => [Author.find_by_first_name_and_last_name('Christian', 'Hellsten'), Author.find_by_first_name_and_last_name('Jarkko', 'Laine')], :published_at => Time.now, :isbn => '123-123-123-x', :blurb => 'E-Commerce on Rails', :page_count => 300, :price => 30.5 ) assert book.save book.reload assert_equal 2, book.authors.size assert_equal 2, Author.find_by_first_name_and_last_name('Christian', 'Hellsten').books.size end The unit test performs the following steps: 1. Create a new book and assign two authors and one publisher to it. 2. Reload the book from the database. 3. Verify that the book has two authors. 4. Verify that one of the authors has two books, of which one is created by the test and the other by the fixture.

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