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Notice that INNER JOIN is a binary operation, so it has two operands, left-table and right-table, which might be base tables or anything that can be queried (for example, a table produced by a subquery or by another join). The ON keyword begins the join specification, which can contain anything that could be used in a WHERE clause.

loaddata [fixture fixture ...]

Extracts an iterator from an iterable object. Returns a property. All arguments are optional. Returns a bound instance of class s superclass.



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Let s retrieve a list of orders, the IDs of the customers who placed them, and the last name of the employees who took them. Enter the following query into SSMSE and execute it. You should see the results in Figure 11-12.

Searches for and loads the contents of the named fixture into the database. A fixture is a collection of files that contain the serialized contents of the database. Each fixture has a unique name; however, the files that comprise the fixture can be distributed over multiple directories, in multiple applications.

select orders.orderid, orders.customerid, employees.lastname from orders inner join employees on orders.employeeid = employees.employeeid





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Django will search in three locations for fixtures: In the fixtures directory of every installed application In any directory named in the FIXTURE_DIRS setting In the literal path named by the fixture Django will load any and all fixtures it finds in these locations that match the provided fixture names. If the named fixture has a file extension, only fixtures of that type will be loaded. For example, the following: django-admin.py loaddata mydata.json will only load JSON fixtures called mydata. The fixture extension must correspond to the registered name of a serializer (e.g., json or xml). If you omit the extension, Django will search all available fixture types for a matching fixture. For example, the following: django-admin.py loaddata mydata will look for any fixture of any fixture type called mydata. If a fixture directory contained mydata.json, that fixture would be loaded as a JSON fixture. However, if two fixtures with the same name but different fixture types are discovered (e.g., if mydata.json and mydata.xml were found in the same fixture directory), fixture installation will be aborted, and any data installed in the call to loaddata will be removed from the database. The fixtures that are named can include directory components. These directories will be included in the search path. The following, for example: django-admin.py loaddata foo/bar/mydata.json will search <appname>/fixtures/foo/bar/mydata.json for each installed application, <dirname>/ foo/bar/mydata.json for each directory in FIXTURE_DIRS, and the literal path foo/bar/mydata.json. Note that the order in which fixture files are processed is undefined. However, all fixture data is installed as a single transaction, so data in one fixture can reference data in another fixture. If the database back-end supports row-level constraints, these constraints will be checked at the end of the transaction. The dumpdata command can be used to generate input for loaddata.

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Because you re selecting columns from two tables, you need to identify which table a column comes from, which you do by prefixing the table name and a dot (.) to the column name. This is known as disambiguation, or removing ambiguity so the database manager knows which column to use. Though this has to be done only for columns that appear in both tables, the best practice is to qualify all columns with their table names. The following FROM clause specifies both the tables you re joining and the kind of join you re using:

Note that iter and super may be called with other parameters than those described here. For more information, see the standard Python documentation (http://python.org/doc).

Unfortunately, MySQL isn t capable of completely supporting all the features of Django fixtures. If you use MyISAM tables, MySQL doesn t support transactions or constraints, so you won t get a rollback if multiple transaction files are found, or validation of fixture data. If you use InnoDB tables, you won t be able to have any forward references in your data files MySQL doesn t provide a mechanism to defer checking of row constraints until a transaction is committed.

It specifies an inner join of the Orders and Employees tables:

reset [appname appname ...]

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