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There are many situations where a dictionary is more appropriate than a list. The name dictionary should give you a clue: an ordinary book is made for reading from start to finish. If you like, you can quickly open it to any given page. This is a bit like a Python list. Dictionaries, however (both real ones and their Python equivalent) are constructed so that you can look up a specific word (key) easily, to find its definition (value). Some arbitrary uses of Python dictionaries are as follows: Representing the state of a gaming board, with each key being a tuple of coordinates Storing file modification times, with file names as keys A digital telephone/address book Let s say you have a list of people: >>> names = ['Alice', 'Beth', 'Cecil', 'Dee-Dee', 'Earl'] What if you wanted to create a little database where you could store the telephone numbers of these people how would you do that One way would be to make another list. Let s say you re only storing their four-digit extensions. Then you would get something like this: >>> numbers = ['2341', '9102', '3158', '0142', '5551']



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SQL injection is a common exploit in which an attacker alters Web page parameters (such as GET/POST data or URLs) to insert arbitrary SQL snippets that a naive Web application executes in its database directly. It s probably the most dangerous and, unfortunately, one of the most common vulnerabilities out there. This vulnerability most commonly crops up when constructing SQL by hand from user input. For example, imagine writing a function to gather a list of contact information from a contact search page. To prevent spammers from reading every single email in our system, we ll force the user to type in someone s username before providing her email address: def user_contacts(request): user = request.GET['username'] sql = "SELECT * FROM user_contacts WHERE username = '%s';" % username # execute the SQL here...





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s SQLMetal is a tool that comes with LINQ that can generate entity class declarations from a SQL Tip

Note In this example, and all similar don t do this examples that follow, we ve deliberately left out most

Server database. It s described in section 6.3 of the DLinq Overview for VB Developers.doc file, which comes with LINQ and is the basic documentation for LINQ to SQL.

Note You might wonder why I have used strings to represent the telephone numbers why not integers Consider what would happen to Dee-Dee s number then:

You created a data context:

of the code needed to make the functions actually work. We don t want this code to work if someone accidentally takes it out of context.

' Create data context Dim db As DataContext = New DataContext(connString)

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Though at first this doesn t look dangerous, it really is. First, our attempt at protecting our entire email list will fail with a cleverly constructed query. Think about what happens if an attacker types "' OR 'a'='a" into the query box. In that case, the query that the string interpolation will construct will be SELECT * FROM user_contacts WHERE username = '' OR 'a' = 'a'; Because we allowed unsecured SQL into the string, the attacker s added OR clause ensures that every single row is returned. However, that s the least scary attack. Imagine what will happen if the attacker submits "'; DELETE FROM user_contacts WHERE 'a' = 'a'". We ll end up with this complete query: SELECT * FROM user_contacts WHERE username = ''; DELETE FROM user_contacts WHERE 'a' = 'a'; Yikes! Where d our contact list go

A data context does what an ADO.NET connection does, but it also does things that a data provider handles. It not only manages the connection to a data source but it translates LINQ requests (expressed in SQO) into SQL, passes the SQL to the database server, and creates objects from the result set.

Not exactly what we wanted, is it As mentioned briefly in 1, octal numbers are written with an initial zero. It is impossible to write decimal numbers like that.

Although this problem is insidious and sometimes hard to spot, the solution is simple: never trust user-submitted data, and always escape it when passing it into SQL. The Django database API does this for you. It automatically escapes all special SQL parameters, according to the quoting conventions of the database server you re using (e.g., PostgreSQL or MySQL).

You created a typed table:

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