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The high watermark is the boundary between used and unused space in a segment. The used blocks are below the high watermark, and therefore, the unused blocks are above the high watermark. Blocks above the high watermark have never been used or initialized. In normal circumstances, operations requiring space (for example, INSERT statements) increase the high watermark only if there is no more free space available below the high watermark. A common exception to this is due to direct insert operations because they exclusively use blocks above the high watermark (see 11). Operations releasing space (for example, DELETE statements) do not decrease the high watermark. They simply make space available to other operations. If the free space is released at a rate equal to or lower than the rate the space is reused, using the blocks below the high watermark should be optimal. Otherwise, the free space below the high watermark would increase steadily. Long-term, this would cause not only an unnecessary increase in the size of the segment but also suboptimal performance. In fact, full scans access all blocks below the high watermark. This occurs even if they are empty. The segment should be reorganized to solve such a problem.

CHAPTER 2: Blast-Off!

Caution Errors in the configuration of the LocaleServiceProvider JAR will render your Java runtime

Finally, open the FoodViewController.xib file, as shown in Figure 8 12, for we have some familiar moves to arrange our view.

inoperable. You will need to move the JAR file out of the extension directory before you can run another command, like java to run the example or jar to remake the JAR file.

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The following query shows how to get the most important column statistics for a table: SQL> SELECT column_name AS "NAME", 2 num_distinct AS "#DST", 3 low_value, 4 high_value, 5 density AS "DENS", 6 num_nulls AS "#NULL", 7 avg_col_len AS "AVGLEN", 8 histogram, 9 num_buckets AS "#BKT" 10 FROM user_tab_col_statistics 11 WHERE table_name = 'T'; NAME #DST LOW_VALUE ---- ----- -------------ID 1000 C102 VAL1 431 C103 VAL2 6 C20202 VAL3 6 C20202 PAD 1000 202623436F2943 7334237B426574 336E4A5B302E4F 4B53236932303A 21215F46 HIGH_VALUE DENS #NULL AVGLEN HISTOGRAM #BKT -------------- ------- ----- ------ --------------- ----C20B .00100 0 4 NONE 1 C2213E .00254 503 3 HEIGHT BALANCED 254 C20207 .00050 0 4 FREQUENCY 6 C20207 .00050 0 4 FREQUENCY 6 7E79514A202D49 .00100 0 251 HEIGHT BALANCED 254 4649366C744E25 3F36264C692755 7A57737C6D4B22 59414C44

Drag a UIImageView onto the View, as indicated in Figure 8 13, and resize it to occupy the entire space. Right-click and drag from the File s Owner icon to the new UIImageView, as in Figure 8 14. Then, connect the imageView outlet, as shown in Figure 8 15.

Summary

Figure 8 15. over to the UIImageView and select the imageView option in the Outlets drop-down menu.

Unfortunately, the columns low_value and high_value are not easily decipherable. In fact, they display the values according to the internal representation used by the database engine to store data. To convert them to human-readable values, there are two possibilities. First, the package utl_raw provides the functions cast_to_binary_double, cast_to_binary_ float, cast_to_binary_integer, cast_to_number, cast_to_nvarchar2, cast_to_raw, and cast_to_varchar2. As the names of the functions suggest, for each specific datatype, there is a corresponding function used to convert the internal value to the actual value. To get the low and high value of the column val1, you can use the following query: SQL> 2 3 4 5 SELECT utl_raw.cast_to_number(low_value) AS low_value, utl_raw.cast_to_number(high_value) AS high_value FROM user_tab_col_statistics WHERE table_name = 'T' AND column_name = 'VAL1';

Playground (1.2), Kestrel (1.3), Merlin (1.4), Tiger (5.0), Mustang (6), Dolphin (7); where do the names come from With each release of the standard edition, the core libraries keep growing. At least the language level changes seem to have settled down for this release. I remember when the whole of Java source and javadocs used to fit on a 720-KB floppy disk. With this chapter, you see why you now require 50 MB just for the API docs and another 50 MB or so for the platform. Read on to the libraries and tools chapters to discover the latest features of the Java Standard Edition in Mustang. In this next chapter, you ll learn about the changes to the language and utilities packages. You ll learn about what s new and different with java.lang.*, java.util.*, and all of their subpackages. You ll learn about everything from updates, to resource bundle handling, to the concurrency utilities; you ll also learn about lazy atomics and resizing arrays.

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