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Sometimes you may partition a table range-wise, but the distribution may not be very equal. You can make this a better partitioning scheme by hash partitioning after the range partitioning is done. This will allow you to store the data more efficiently, although it becomes more complex to manage. Range-hash partitioning combines the best of the range- and hash-partitioning schemes. Range partitioning, as you ve already seen, is easy to implement, and hash partitioning provides you benefits such as striping and parallelism. Listing 7-7 shows a simple example of how to create a range-hash-partitioned table. Listing 7-7. Creating a Range-Hash-Partitioned Table SQL> CREATE TABLE scout_gear (equipno NUMBER,equipname VARCHAR(32),price NUMBER) 2 PARTITION BY RANGE (equipno) SUBPARTITION BY HASH(equipname) 3 SUBPARTITIONS 8 STORE IN (ts1, ts2, ts3, ts4) 4 (PARTITION p1 VALUES LESS THAN (1000), 5 PARTITION p2 VALUES LESS THAN (2000), 6 PARTITION p3 VALUES LESS THAN (3000), 7* PARTITION p4 VALUES LESS THAN (MAXVALUE)); Table created. SQL> In this example, the scout_gear table is first partitioned by range on the equipno column four range-based partitions are created. These four partitions are then subpartitioned on the equipname column using a hash-partitioning scheme, resulting in 32 subpartitions altogether. Note the SUBPARTITIONS clause in line 3.



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What if you don t want to stop the audio but simply allow the user to temporarily mute it Providing your users with this option is a courteous thing to do. Fortunately, it s not very hard to do. To see how muting is accomplished, open the RemoteSound3.fla file in this chapter s Exercise folder. By this point, you should be feeling a sense of d j vu. The file looks nearly the same as in the previous exercise, but the instance names have changed. The buttons now have instance names muteMC and unmuteMC. The code has also changed, but not by much.





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So even when users realized that their PCs may have been infected with a worm, when they tried to go to the Windows Update site to patch their systems, the deluge of DoS traffic sent to the site from their own computers prevented them from doing so The Blaster worm coupled some characteristics of the previous worms (exploiting a buffer overflow and randomly scanning for new hosts to which to propagate) with a DDoS attack against a web site that had the patch to fix the problem SQL Slammer was another worm that appeared the same year as Blaster SQL Slammer, like Blaster and some of the other previous worms, took advantage of a buffer overflow vulnerability.

Before you can proceed to actually create databases, you need to conceptually model the organization s information system so you can easily see the interrelationships among the various components of the system. Data models are simple representations of complex real-world data structures, and the models help you depict not only the data structures, but also the relationships among the components and any constraints that exist. Conceptual modeling of the enterprise leads to clear indications

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following code: var audio:Sound = new Sound(); var req:URLRequest = new URLRequest( "On Borrowed Time.mp3"); audio.load(req); var channel:SoundChannel = audio.play(); var xform:SoundTransform = new SoundTransform(); muteMC.buttonMode = true; muteMC.addEventListener(MouseEvent.CLICK, muteSound); function muteSound (evt:MouseEvent):void{ xform.volume = 0; channel.soundTransform = xform; } unmuteMC.buttonMode = true; unmuteMC.addEventListener(MouseEvent.CLICK, unmuteSound); function unmuteSound (evt:MouseEvent):void{ xform.volume = 1; channel.soundTransform = xform; }

regarding the tables to be built later on and the relationships that should exist among those tables. ER modeling involves the creation of valid models of the business, using standard entity-relationship diagrams (ERDs). Note that the conceptual model is always independent of both software and hardware considerations. ER modeling was originally proposed by Peter Chen in 1976, and it is now the most widely used technique for database design. (You can download Chen s original proposal document as a PDF file at http://citeseer.ist.psu.edu/519283.html.) Nevertheless, there are several design methodologies other than ER modeling available for you to use. For several years, researchers have struggled to model the real world more realistically by using semantic data models, which try to go beyond the traditional ER modeling methodology.

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