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So, what really is part of HTML5 If you read the specification carefully, you might not find all of the features we describe in this book. For example, you will not find HTML5 Geolocation and Web Workers in there. So are we just making this stuff up Is it all hype No, not at all! Many pieces of the HTML5 effort (for example, Web Storage and Canvas 2D) were originally part of the HTML5 specification and were then moved to separate standards documents to keep the specification focused. It was considered smarter to discuss and edit some of these features on a separate track before making them into official specifications. This way, one small contentious markup issue wouldn t hold up the show of the entire specification. Experts in specific areas can come together on mailing lists to discuss a given feature without the crossfire of too much chatter. The industry still refers to the original set of features, including Geolocation, as HTML5. Think of HTML5, then, as an umbrella term that covers the core markup, as well as many cool new APIs. At the time of this writing, these features are part of HTML5: Canvas (2D and 3D) Channel messaging Cross-document messaging Geolocation

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All Hadoop jobs start with a mapper. The reducer is optional. The class providing the map function must implement the org.apache.hadoop.mapred.Mapper interface, which in turn requires the interfaces org.apache.hadoop.mapred.JobConfigurable and org.apache.hadoop. io.Closeable. The Hadoop framework provides org.apache.hadoop.mapred.MapReduceBase from which to derive mapper and reducer classes. The JobConfigurable and Closable

implementations are empty methods. In the utilities supplied with this book s downloadable code is com.apress.hadoopbook.utils.MapReduceBase, which provides more useful implementations.

1. In our choice of name, we are consciously emulating the Unix Message of the day program, which issued announcements to users as they logged in. This was commonly abbreviated to Motd and we re using the two names somewhat interchangeably.

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Sometimes once is not enough. Thankfully, the designers of the Geolocation service made it trivial to switch from an application that requests a user location one time to one that requests the location at regular intervals. In fact, it s largely as trivial as switching the request call, as shown in the following examples:

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This section examines the sample mapper class SampleMapperRunner.java, which is available with the rest of the downloadable code for this book. When run as a Java application, this example accepts all of the standard Hadoop arguments and may be run with custom bean context and definitions: bin/hadoop jar hadoopprobook.jar com.apress.hadoopbook.examples.ch5.SampleMapperRunner -D mapper.bean.context=mycontext.xml -D mapper.bean.name=mybean -files mycontext.xml deleteOutput where: bin/hadoop jar is the standard Hadoop program invocation. hadoopprobook.jar com.apress.hadoopbook.examples.ch5.SampleMapperRunner specifies the JAR file to use and the main class to run. -D mapper.bean.context=mycontext.xml and -D mapper.bean.name=mybean specify that the string mycontext.xml is stored in the configuration under the key mapper.bean.context, and that the string mybean is stored in the configuration under the key mapper.bean.name. -files mycontext.xml causes the file mycontext.xml to be copied into HDFS, and then unpacked and made available in the working directory of each task run by the job. The working directory is in the task classpath. mycontext.xml may have a directory path component, and not be just a stand-alone file name. The path and file name provided must be a path that can be opened from the current working directory.

Note If you are using the value local as the value of the mapred.task.tracker configuration key,

Most of the tags in this file should be pretty familiar from setting up JDBC connections. The show_sql tag, set to false in our example, is extremely useful when debugging problems with your programs when set to true, all of the SQL prepared by Hibernate is logged to the standard output stream (i.e., the console). The SQL dialects, discussed in 2, allow you to select the database type that Hibernate will be talking to. You must select a dialect even if it is the GenericDialect most database platforms accept a common subset of SQL, but there are inconsistencies and extensions specific to each. Hibernate uses the dialect class to determine the optimal correct SQL to use when creating and querying the database.

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