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Note The author has used fuse_dfs in Hadoop 0.16.0 successfully. In Hadoop 0.19.0, the FUSE mounts produced corrupted directory listings. fuse_dfs appears to work correctly in Hadoop 0.19.1.

After successfully compiling the fuse_dfs package via the following command, the directory build/contrib./fuse_dfs will be populated: ant compile-contrib -Dlibhdfs=1 -Dfusedfs=1 The directory should contain at least the files fuse_dfs and fuse_dfs_wrapper.sh. The fuse_dfs_wrapper.sh script makes some assumptions that are not generally applicable and may not work for most installations without modification. The core configuration requires that the LD_LIBRARY_PATH environment variable include the directories that libjvm.so and libhdfs. so are resident in, and that the CLASSPATH has the Hadoop Core JAR and the support JARs present. Listing 8-4, if run from the Hadoop installation root or with the environment variable HADOOP_HOME set to the installation root, will produce the correct settings for LD_LIBRARY_PATH and CLASSPATH.

The Browser object raises an interesting question: how does MooTools actually know what browser is currently running This brings us to the topic of browser detection There are two main techniques for browser detection and the first is called user agent sniffing User agent is another term for client software in a client-server system, such as a browser In the web architecture, user agents identify themselves to servers using a special string called the user agent string, which follows the format <Product Name>/<Product Version> <Comments> The current browser s user agent string is accessible via the navigator object s userAgent property, and user agent sniffing relies on this property for detecting the current browser The core of the operation involves running some regexp-based tests on the userAgent property value, then extracting parts of the string for use.

Listing 8-4. Script to Compute the Correct LD_LIBRARY_PATH and CLASSPATH Environment Variables for fuse_dfs, setup_fuse_dfs.sh #! /bin/sh if [ -z "${HADOOP_HOME}" -a -r bin/hadoop-config.sh ]; then (echo n "This script must run from the hadoop installation" echo "directory, or have HADOOP_HOME set in the environment") 1>&2 exit 1 fi if [ ! -z "${HADOOP_HOME}" -a -d "${HADOOP_HOME}" ]; then cd "${HADOOP_HOME}" if [ $ -ne 0 ]; then echo "Unable to cd to HADOOP_HOME [$HADOOP_HOME]" 1>&2 exit 1 fi fi

Exercise 8-1 will walk through what it takes to publish an InfoPath form as a content type in a SharePoint site and then consume that content type in a library.

The user agent string is easily parsable, even if the structure of user agent strings among browsers varies widely The problem with this technique, though, is that user agent strings are easily changed, and therefore can t be relied on This is especially problematic when user agent spoofing is involved, where user agents "pretend" to be other user agents by passing the user agent string of another user agent to the server A second technique is much less prone to spoofing, and it s called feature sniffing This technique involves checking for the existence of several special features in the current environment: if the environment has the both features X and feature Y, then it s probably browser Z Feature sniffing therefore relies on the existence of certain objects to perform inference, and is therefore related to the concept of duck typing as we saw in the previous chapter.

if [ ! -r bin/hadoop-config.sh ]; then echo "Unable to find the hadoop-config.sh script" 1>&2 exit 1 fi export HADOOP_HOME=$PWD HADOOP_CONF_DIR="${HADOOP_CONF_DIR:-$HADOOP_HOME/conf}" if [ -z "${JAVA_HOME}" ]; then echo "JAVA_HOME is not set" 1>&2 exit 1 fi ## Cut from bin/hadoop, to ensure classpath is the same as running installation if [ -f "${HADOOP_CONF_DIR}/hadoop-env.sh" ]; then . "${HADOOP_CONF_DIR}/hadoop-env.sh" fi