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to be used during the map() method calls. By using the isMap method on the taskId, you can take different actions for map and reduce tasks in the configure() and close() methods. This becomes very useful when a single class provides both a map method and a reduce method.

If you're hoping to learn how the Haversine formula works, you ll be sorely disappointed. Instead, we ll present you a JavaScript implementation of the formula, which allows anyone to use it to calculate the distance between two positions (see Listing 4-7). Listing 4-7. A JavaScript Haversine implementation function toRadians(degree) { return degree * Math.PI / 180; } function distance(latitude1, longitude1, latitude2, longitude2) { // R is the radius of the earth in kilometers var R = 6371; var deltaLatitude = toRadians(latitude2-latitude1); var deltaLongitude = toRadians(longitude2-longitude1); latitude1 =toRadians(latitude1); latitude2 =toRadians(latitude2); var a = Math.sin(deltaLatitude/2) * Math.sin(deltaLatitude/2) + Math.cos(latitude1) * Math.cos(latitude2) * Math.sin(deltaLongitude/2) * Math.sin(deltaLongitude/2); var c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1-a)); var d = R * c; return d; } If you want to know why or how this formula works, consult a teenager s math textbook. For our purposes, we have written a conversion from degrees to radians, and we provided a distance() function to calculate the distance between two latitude and longitude position values. If we check the user s position and calculate the distance traveled at frequent and regular intervals, it gives a reasonable approximation of distance traveled over time. This assumes that the user is moving in a straight direction during each interval, but we ll make that assumption for the sake of our example.

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A call to the void map( K1 key, V1 value, OutputCollector<K2,V2> output, Reporter reporter) throws IOException method, defined in org.apache.hadoop.mapred.Mapper, will be made for every record in the job input. No calls will be made to the map() method in an instance before the configure() method completes. If the job is configured for running multithreaded map tasks, as follows, there may be multiple simultaneous calls to the map() method. jobConf.setMapRunnerClass(MultithreadedMapRunner.class); jobConf.setInt("mapred.map.multithreadedrunner.threads", 10); When running multithreaded, each map() call will have a different key and value object. The output and reporter objects are shared. The default number of threads for a multithreaded map task is ten. The contents of the key object and the contents of the value object are valid only during the map() method call. The framework will reset the object contents with the next key/value pair prior to the next call to map(). The class converting the input into records is responsible for defining the types of K1 and V1. The standard textual input format, KeyValueTextInput, defines K1 and V1 to be of type Text. K2 and V2 are defined by the JobConf.setMapOutputKeyClass(clazz) and JobConf. setMapOutputValueClass(clazz) methods. The types of K2 and V2 default to the classes set for the reduce key and value output classes. The reduce key and value output classes are set by JobConf.setOutputKeyClass(clazz) and JobConf.setOutputValueClass(clazz). The defaults for K2 and V2 are LongWritable and Text, respectively. You can explicitly configure the map output key and value classes, as follows: jobConf.setMapOutputKeyClass(MyMapOutputKey.class); jobConf.setMapOutputValueClass(MyMapOutputValue.class) If a map output class is set, the corresponding reduce input class is also set to the class. If the map output key class is changed to BytesWritable, the Reducer.reduce s key type will be BytesWritable.

The <id> element requires a <generator> element to be specified, which defines how to generate a new primary key for a new instance of the class. The generator takes a class attribute, which defines the mechanism to be used. The class should be an implementation of IdentifierGenerator. Optional <param> elements can be provided if the identifier needs additional configuration information, each having the form as follows: <param name="parameter name">parameter value</param> Hibernate provides several default IdentifierGenerator implementations, and these can be referenced by convenient short names, as shown in Table 6-5. Table 6-5. The Default IdentiferGenerator Implementations

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