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Sally gets married, changes her last name to Johnson, and her phone number changes to 555-3434 Now let s say that one person executes an UPDATE statement to change her last name to Johnson At the same time, another person enters an UPDATE statement to change her phone number Since each person is updating only one column of data, all the other data should stay the same with a regular UPDATE However, what s not apparent is that when an UPDATE is issued, the entire row (all columns) is rewritten, not just the changed column When the statement is executed to change her name, it would result in the following row Notice that only the last name has changed

In the following constructor, you can see how we use : to set the default values of blueberries and vanilla, should we not supply a blueberries parameter or a vanilla parameter (in other words, the value of the blueberries parameter is returned by : if it is set; otherwise, the default string is returned): var WildMaineBlueberry = function(blueberries, vanilla) { thisblueberries = [2, "cup", blueberries blueberries : "fresh wild Maine blueberries"];.

When the second statement is executed at the same time to change her phone number, it would result in the following row Remember, both statements were executed at the same time, but let s say that the second statement took a millisecond longer so it was saved last Notice that since the original last name of McGirk existed when the phone UPDATE started, McGirk is retained The update of the last name is lost

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Figure 8 17. Dynamically embedding a style sheet with embedSheet()

Now imagine that we need to search for a blue widget Without the index, we d have to search through 11 extents (or 704KB) With the index shown in Figure 7-3, we only have to search one extent (64KB) Obviously, it s quicker to search 64KB than 704KB

Five million rows would likely be much more than 11 extents If we were going to display this realistically for a five-million-row parts table, we would have Figure 7-2 spread across several pages in this book with many more extents However, for this example, we ll keep the number of extents small We can have up to 249 nonclustered indexes on a table However, there is a point of limited returns Consider Figures 7-2 and 7-3 again If we had indexes on every column, the size of the indexes would be as big as the size of the table

Summary

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As we ll see later in this chapter, indexes also incur some overhead If it costs more in resources to maintain an index than we are getting in performance gains, it doesn t make sense to use the index

In this chapter, we explored a number of DOM interfaces for scripting CSS, while in 7 we explored the interfaces for scripting markup. Now you know how to do what JavaScript behaviors do. You can change the presentation or content of a document. Controlling when those changes occur is the topic of the next chapter. There we will explore event interfaces provided by DOM and Internet Explorer. See you there!

Full-text indexes allow us to do full-text searches on individual columns By enabling full-text indexes, we can perform sophisticated searches on text type data We ll explore these in much more depth later in the chapter

Twenty-five hundred years ago in 490 BC, a Greek herald named Pheidippides ran several dispatches totaling 240 km (150 miles) during the final two days of the Battle of Marathon The distance of his final run from Marathon to Athens to deliver news of the Greek victory over the Persians with the word (we have won) is the basis for the marathon race being 42 km (262 miles) Insofar as Pheidippides ran those dispatches over mountainous terrain in hot weather and would have been 40 (born in 530 BC), it is not surprising that he collapsed and died moments later Nowadays, dying from running a marathon is rare, but developing rigor mortis, referred to as hitting the wall, is not Typically this happens in the final fourth of the marathon when, because of glycogen depletion, muscle fibers lock up, effectively turning a runner into a staggering corpse.

Both primary and secondary XML indexes can be created on the XML data type column The first index created on an XML data type column must be a primary XML index Since the XML data type can be as large as 2GB, having an index on this data can make XML path searches much more efficient

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