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Aside from their relative simplicity during compilation, a significant advantage of using static libraries is that applications that are statically linked with the libraries they use are completely selfsufficient. The resulting executable can be transferred to any compatible computer system and will execute correctly there because it has no external dependencies. Applications that are statically linked to the libraries they use can be executed more quickly than applications that use shared or dynamically loaded libraries, because statically linked applications require no runtime or startup overhead for resolving function calls or class references. Similarly, statically linked applications require somewhat less memory than shared or dynamically loaded applications, because they require a smaller runtime environment with less overhead than is required to search for and call functions in a shared or dynamically loaded library. While static libraries are easy to use and have some advantages for portability, they also have some distinct disadvantages, the most significant of which are the following: Increased application size: Bundling a copy of a static library into each executable that uses it substantially increases the size of each resulting executable. The portions of the library used in the application must be bundled into each executable because it is not possible to extract specific functions from the library. Recompiling applications after updates: Any bug fixes or enhancements made to libraries that have been statically linked into applications are not available to those applications unless the applications are recompiled with the new version of the library. To address these problems, most Unix and Unix-like systems support shared and dynamically loaded libraries, which are discussed in the next sections.

Another way of resizing an image is called resampling. Resampling is interesting in that it doesn t change the size of the image; it changes the resolution of the image. So, for example, if you have an image that is two inches wide and three inches high at 100 dots per inch, then it will be 200 300. If you resample the image to 300 dots per inch, then you ll change the image to be 600 900 pixels. The observed size of the image won t change, though. You d use this conversion so that the image would print and display correctly on devices with varying resolutions. For example, most monitors are 75 dots per inch, and most printers are at least 600 dots per inch. Here s an example of the resample command-line option at work: convert -resample 300x300 input.tif output.tif Only a few image formats store the current image resolution inside the image file itself TIFF, PNG, and JPEG are the three most common. If the image format you re using doesn t store the image resolution, you can specify it with the density command-line option (discussed in 3). You should also note this caveat from the ImageMagick documentation, however: Note that Photoshop stores and obtains image resolution from a proprietary embedded profile. If this profile exists in the image, then Photoshop will continue to treat the image using its former resolution, ignoring the image resolution specified in the standard file header.

In this recipe, I ll show you how to apply partitioning to a nonclustered index. In 4, I demonstrated table partitioning. Partitioning can provide manageability, scalability, and performance benefits for large tables. This is because partitioning allows you to break down the data set into smaller subsets of data. Depending on the index key(s), an index on a table can also be quite large. Applying the partitioning concept to indexes, if large indexes are separated onto separate partitions, this can positively impact the performance of a query. Queries that target data from just one partition will benefit because SQL Server will target just the selected partition, instead of accessing all partitions for the index. This recipe will now demonstrate index partitioning using the HitDateRangeScheme partition scheme that was created in 4 on the Sales.WebSiteHits table: CREATE NONCLUSTERED INDEX NI_WebSiteHits_WebSitePage ON Sales.WebSiteHits (WebSitePage) ON [HitDateRangeScheme] (HitDate)

First introduced by Sun Microsystems in the early 1990s, shared libraries are centralized code libraries that an application loads and links to at runtime, rather than at compile time Programs that use shared libraries only contain references to library routines These references are resolved by the runtime link editor when the programs are executed Shared libraries typically have the file extension so (for shared object), though they may use other extensions, such as the dylib extension (for dynamic shared library) used on Mac OS X systems Mac OS X is something of an anomaly in terms of how it names and references shared libraries The remainder of this section primarily focuses on systems that use classic shared-library implementations such as Linux and Solaris.