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return 22 and 5 rows, respectively. Evaluation of distinctness is applied to all of the output columns, making it useful in some queries that use joins to produce a denormalized set. Test it well to ensure that it produces the result you expect.4

relied on to provide a unique search stream for a positioned update. Some development interfaces explicitly treat the output sets from DISTINCT queries as non-updateable.

Note It is difficult to see the results of a transaction without the use of a resource manager such as

20

As you can see, sessions that have been set can be called and accessed from anywhere within the scope of the session state. In this case, you have an integer, a string, and a float value (which have been typecast) that can be accessed from anywhere. The script was called without passing in any values, yet it can access and output the session values.

FIRST (m) SKIP (n)

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The optional keywords FIRST (m) and/or SKIP (n), if used, precede all other specifications. They provide the option to select the first m rows from the output of an ordered set and to ignore the first n rows of an ordered set, respectively. It does not make sense to use this construct with an unordered set. The ORDER BY clause obviously needs to use an ordering condition that actually makes sense with regard to the selection of the candidate rows. The two keywords can be used together or individually. The arguments m and n are integers, or expressions that resolve to integers. The brackets around the m and n values are required for expression arguments and optional for simple integer arguments. Since FIRST and SKIP operate on the set that is output by the rest of the specification, they cannot be expected to make the query execute faster than the full specification would otherwise do. Any performance benefit comes from the reduction of traffic across the wire. The following example will return five rows, starting at row 101 in the ordered set:

SELECT FIRST 5 SKIP 100 MEMBER_ID, MEMBERSHIP_TYPE, JOIN_DATE FROM MEMBERS ORDER BY JOIN_DATE;

a database or queue. Automatic transactions are created, used, and completed without your intervention. Trying to view a transaction is like trying to see the wind. You can only observe it based on the effect that it has on other things. The examples in this chapter do not use SQL to demonstrate the use of transactions. This was a deliberate choice in order to keep the focus of this chapter on COM+ and transactions and to avoid turning this into a SQL recipe chapter. Instead, most of the example code uses a class to log the state of the transaction at the beginning and end of a method call. The first recipe in this chapter describes this class in detail. Much of the data logged should be the same when the tests are run on your computer. However, certain values that are logged will be different. In particular, transactions IDs and start times will certainly be different when the tests are run on your machine.

One of the major improvements to PHP 5 is the ability to store complex data types within a session. In the past, code that tracked information such as shopping carts had to be stored within temporary database tables and such, which was incredibly clunky and not space efficient. Fortunately, PHP now allows you to store objects within sessions. Using this technique, you can easily store large quantities of data within a single object (such as a shopping cart object), use the functionality within the session for these purposes, and then pass the data along to other pages. The following example shows how to pass an object and then access the object from a session.

To return the n highest-order rows according to the ordering conditions, order the set in DESC[ENDING] order.

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