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The SQL standard also provides for FULL OUTER JOIN, UNION JOIN, and CROSS JOIN (and even NATURAL JOIN, basically an inner join using equality predicates), but these are much less used and beyond the scope of this book. We won t provide examples, but this section contains a brief summary of them. A FULL OUTER JOIN is like a combination of both the LEFT and RIGHT OUTER joins. All rows from both tables are retrieved, even if they have no related rows in the other table. A UNION JOIN is unlike outer joins in that it doesn t match rows. Instead, it creates a table that has all the rows from both tables. For two tables, it s equivalent to the following query:



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HttpRequest represents a single HTTP request from some user-agent. Much of the important information about the request is available as attributes on the HttpRequest instance (see Table H-1). All attributes except session should be considered read-only. Table H-1. Attributes of HttpRequest Objects





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The tables must have the same number of columns, and the data types of corresponding columns must be compatible (able to hold the same types of data). A CROSS JOIN combines all rows from both tables. It doesn t provide for a join specification, because this would be irrelevant. It produces a table with all columns from both tables and as many rows as the product of the number of rows in each table. The result is also known as a Cartesian product, because that s the mathematical term for associating each element (row) of one set (table) with all elements of another set. For example, if there are five rows and five columns in table A and ten rows and three columns in table B, the cross join of A and B would produce a table with fifty rows and eight columns. This join operation is not only virtually inapplicable to any real-world query, but it s also a potentially very expensive process for even small real-world databases. (Imagine using it for production tables with thousands or even millions of rows.)

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A string representing the full path to the requested page, not including the domain for example, "/music/bands/the_beatles/". A string representing the HTTP method used in the request. This is guaranteed to be uppercase. For example: if request.method == 'GET': do_something() elif request.method == 'POST': do_something_else()

performing the assignment foo = math.sqrt you can start using foo to calculate square roots; for example, foo(4) yields 2.

You then executed a query whose FROM and WITH clauses enabled you to use the parsed XML like a table. Instead of specifying a table in the FROM clause, you called the OPENXML function:

A dictionary-like object containing all given HTTP GET parameters. See the upcoming QueryDict documentation. A dictionary-like object containing all given HTTP POST parameters. See the upcoming QueryDict documentation. It s possible that a request can come in via POST with an empty POST dictionary if, say, a form is requested via the POST HTTP method but does not include form data. Therefore, you shouldn t use if request.POST to check for use of the POST method; instead, use if request.method == "POST" (see the method entry in this table). Note: POST does not include file-upload information. See FILES. Continued

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For convenience, a dictionary-like object that searches POST first, and then GET Inspired by PHP s $_REQUEST For example, if GET = {"name": "john"} and POST = {"age": '34'}, REQUEST["name"] would be "john", and REQUEST["age"] would be "34" It s strongly suggested that you use GET and POST instead of REQUEST, because the former are more explicit A standard Python dictionary containing all cookies Keys and values are strings See 12 for more on using cookies A dictionary-like object containing all uploaded files Each key in FILES is the name from the <input type="file" name="" /> Each value in FILES is a standard Python dictionary with the following three keys: filename: The name of the uploaded file, as a Python string content-type: The content type of the uploaded file content: The raw content of the uploaded file.

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