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n the previous chapters, we looked at the select and project operations, which retrieve a subset of rows and columns from a single table, and we also looked at Cartesian products and joins, which combine two tables on a common field. We saw that there are several different ways to write SQL statements to perform combinations of these operations. As queries become more complicated, we might find that we can think of SQL expressions for different parts of the query but we need a way to tie them all together. In this chapter, we will look at nested queries and two new SQL keywords, EXISTS and IN. We will see how to use nesting to perform some of the queries we have already done and also how this will open up some other possibilities.

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filter(function, iterable)

Figure 7-3. The planets table displayed in IE You might notice that the <neighbours> template purposely doesn t include <html>, <head>, and <body> elements. That s because the example will load the XML document and apply the XSLT stylesheet in a separate XHTML document. The XHTML page will display the result of the transformation in a <div> element. It will also add buttons that allow the user to sort the table using JavaScript. You can find this code in the new XHTML page, sortingPlanets10.htm: <html> <head> <style> body {font-family: verdana, arial, sans-serif; } td {padding: 4px; font-size: 12px;} </style>

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The IN keyword allows us to select rows from a table, where an attribute can have one of several values. For example, if we wanted to retrieve the member IDs from the rows in our Entry table for tournaments with ID 36, 38, or 40, we could do this with a Boolean OR operator, as in the SQL statement in Listing 4-1.

Construct a list from those elements of iterable for which function returns true. Iterable may be either a sequence, a container which supports iteration, or an iterator. If iterable is a string or a tuple, the result

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However, even in these exceptional cases, it's imperative that any user data is fully scrubbed. A good solution is to use some sort of mapping table, either an internal dictionary or a mapping table driven from the database itself. In certain cases, a carefully constructed regular expression may also work. Be careful.

Listing 4-1. Using OR Operations SELECT e.MemberID FROM Entry e WHERE e.TourID= 36 OR e.TourID= 38 OR e.TourID= 40

To get around using the string concatenation technique for substituting variables, we can use a technique known as prepared statements. Prepared statements allow one to use bind variables for data substitution, and they are generally safer to use because most security considerations are taken care of without developer interaction. However, it is always a good idea to filter input to help reduce the risk. Prepared statements in zxJDBC work the same as they do in JDBC, just a simpler syntax. In Listing 12-15, we will perform a query on the country table using a prepared statement. Note that the question marks are used as place holders for the substituted variables. It is also important to note that the executemany() method is invoked when using a prepared statement. Any substitution variables being passed into the prepared statement must be in the form of a tuple or list. Listing 12-15. Using Prepared Statements # Passing a string value into the query qry = "select continent from country where name = " >>> cursor.executemany(qry,['Austria']) >>> cursor.fetchall() [(u'Europe',)] # Passing some variables into the query >>> continent1 = 'Asia' >>> continent2 = 'Africa' >>> qry = "select name from country where continent in ( , )" >>> cursor.executemany(qry, [continent1, continent2]) >>> cursor.fetchall() [(u'Afghanistan',), (u'Algeria',), (u'Angola',), (u'United Arab Emirates',), (u'Armenia',), (u'Azerbaijan',), ...

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