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For each reduce task, the framework will collect all the reduce task s partition pieces from each of the map tasks and merge-sort those pieces. The results of the merge-sort are then fed to the reduce() method. The merge-sort is also done by the class returned by the JobConf.getOutputKeyComparator() method. The output of a reduce task will be written to the part-XXXXX file, where the XXXXX corresponds to the partition number. The Hadoop framework provides the following partitioner classes: HashPartitioner, which is the default TotalOrderPartitioner, which provides a way to partition by range KeyFieldBasedPartitioner, which provides a way to partition by parts of the key The following sections describe each of these partitioners.



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Then it is checked whether the IMEI or IMSI can be retrieved When this is also not possible, the Bluetooth address is returned on devices supporting the Bluetooth API Last but not least, the application property usermsisdn is retrieved from the MIDlet when all other methods fail To allow you to distinguish between the identifications method, each returned ID starts with a header, like msisdn:+4916012345678 Listing 15-17 Retrieving a Globally Unique Identification ID public String getIdentification( MIDlet midlet ) { //#if usermsisdn:defined //#= return "msisdn:${usermsisdn}"; //#elif polishPropertyimei:defined //#= return "imei:" + SystemgetProperty( "${polishPropertyimei}" ); //#elif polishPropertyimsi:defined //#= return "imsi:" + SystemgetProperty( "${polishPropertyimsi}" ); //#elif polishapibtapi return "bluetooth:" + LocalDevicegetLocalDevice()getBluetoothAddress(); //#else String msisdn = midletgetAppProperty( "user.

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The default partitioner, org.apache.hadoop.mapred.lib.HashPartitioner, simply uses the hash code value of the key as the determining factor for partitioning. Listing 5-8 shows the actual code from the default partitioner used by Hadoop. The partition number is simply the hash value of the key modulus the number of partitions. Listing 5-8. The HashCode Partitioner from Hadoop 0.19.0 /** Partition keys by their {@link Object#hashCode()}. */ public class HashPartitioner<K2, V2> implements Partitioner<K2, V2> { public void configure(JobConf job) {} /** Use {@link Object#hashCode()} to partition. */ public int getPartition(K2 key, V2 value, int numReduceTasks) { return (key.hashCode() & Integer.MAX_VALUE) % numReduceTasks; } } The hash value is converted to a positive value, (key.hashCode() & Integer.MAX_VALUE), to ensure that the partition will be a positive integer. The resulting number has modulus the number of reduce tasks applied, % numReduceTasks, and the result returned. This produces a positive number between 0 and one less than the number of partitions.

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The TotalOrderPartitioner, org.apache.hadoop.mapred.lib.TotalOrderPartitioner, relies on a file that provides the class with range information. With this information, the partitioner is able to determine which range a key/value pair belongs in and route it to the relevant partition.

Note The TotalOrderParitioner grew out of the TetraSort example package. Jim Gray introduced a contest called the TeraByteSort, which was a benchmark to sort one terabyte of data and write the results to disk. In 2008, Yahoo! produced a Hadoop version of the test that completed in 209 seconds (http://

Thanks to optional APIs, applications can now access many phone features that were previously available only for native applications However, J2ME applications still cannot access some areas When you require native functions for your application, you have one of two options: developing a native application or accessing native functions from within your J2ME application Creating native applications is outside the scope of this book, but you should be aware that different operating systems with partly incompatible versions exist So, if you want to reach a broad user base, you should try to stick to pure Java whenever it s possible When your target device supports the Personal Java profile, you can just use the Java Native Interface (JNI) technology for accessing native functions JNI provides a comfortable and standardized way for calling functions and receiving their return values.

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