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If you are using a system that installs and manages software packages using the RPM Package Manager (RPM), overwriting existing binaries and associated files will cause problems if you subsequently upgrade your system or an affected package. You can always use the rpm command s --force option to force removal of packages whose binaries have been overwritten. In general, simply modifying your path to make sure you are executing the right version of an application is simpler than overwriting existing binaries, and it makes it easier for you to fall back to the official version if you discover incompatibilities in a new version and simplifies system upgrades of package-based Linux systems. The downside of this approach is that you have to make sure every user of the system updates their path so that they execute the updated version of an application.

The name of the partition function used to partition the table. The column used as the partitioning key.

The examples in this section configure, build, test, and install the autoconf and automake binaries in their default locations, the appropriate subdirectories of /usr/local.

This example demonstrates how to use this function. To begin with, four rows are inserted into the Sales.WebSiteHits partitioned table: INSERT Sales.WebSiteHits (WebSitePage, HitDate)

INSERT Sales.WebSiteHits (WebSitePage, HitDate) VALUES ('Home Page', '10/2/2001') INSERT Sales.WebSiteHits (WebSitePage, HitDate) VALUES ('Sales Page', '5/9/2005') INSERT Sales.WebSiteHits (WebSitePage, HitDate) VALUES ('Sales Page', '3/4/2003') The table is then queried using SELECT and the $PARTITION function: SELECT HitDate, $PARTITION.HitDateRange (HitDate) Partition FROM Sales.WebSiteHits This returns: HitDate ----------------------2001-10-02 00:00:00.000 2003-03-04 00:00:00.000 2004-10-22 00:00:00.000 2005-05-09 00:00:00.000 Partition ----------1 2 3 4

autoconf comes preinstalled with most Linux distributions for which you have installed a software development environment for the C and C++ programming languages. However, if you are writing software that you want to distribute and you want to be able to take advantage of the latest fixes and enhancements to autoconf, it can never hurt to get the latest version. autoconf is a relatively standalone package that you can safely upgrade without risking the introduction of any incompatibilities on your system. The home page for the autoconf utility is at http://www.gnu.org/software/autoconf. autoconf depends on the GNU m4 macro preprocessor, which is installed by default on most Linux systems. The home page for GNU m4 is at http://www.gnu.org/software/m4/, though its primary development site, from which you can download the latest version, is at http://savannah.gnu.org/ projects/m4/. The current version of m4 at the time of this writing was 1.4.3. If the Perl interpreter is installed on your system when you are configuring, building, and installing autoconf from source code, the configure script will configure the Makefile so that a number of Perl scripts associated with autoconf are configured for your system. These auxiliary utilities are then installed as part of the make install command described later in this section. A complete list of the scripts and auxiliary utilities that can be installed as part of the autoconf package is shown in Table 7-1, later in this chapter. You can obtain the latest version of autoconf from the download page (http://ftp.gnu.org/ gnu/autoconf). At the time of this writing, the latest version of autoconf was 2.59 this is the version that we discuss in this chapter.

The recipe starts out by inserting four rows into the partitioned Sales.WebSiteHits table. Each insert is for a row with a different HitDate year (in order to demonstrate the function). Next, a query is executed against the table using the $PARTITION function: SELECT HitDate, $PARTITION.HitDateRange (HitDate) Partition FROM Sales.WebSiteHits The partition_function_name is the name of the function created in the last recipe. The expression in parentheses is the HitDate, which is the column used to partition the data. The $PARTITION function evaluates each HitDate and determines what partition it is stored in based on the partition function. This allows you to see how data is distributed across the different partitions. If one partition is uneven with the rest, you can explore creating or removing existing partitions both functions of which are demonstrated next.

Figure 7-71. The original image Figure 7-72 shows the image after it has been changed by the spread transformation discussed in 5, with a spread factor of 1.