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result, which is handled by setting the number of reduce tasks to 1, via conf.setNumReduces(1), or unsorted/unreduced output, which is handled via conf.setNumReduces(0). If you need different partitioning, you have the option of setting a partitioner. This chapter s example has Long keys. Some simple partitioner concepts could be to sort into odd/even or, if the minimum and maximum key values are known, to sort into key rangebased buckets. It is also possible to partition by the value.

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The color of the caret that indicates the editing position. This defaults to the color of the used font. The character that indicates the editing position. This defaults to the pipe symbol, |. Determines whether the length of the entered text should be shown during the editing of this field. This has an effect only when the direct input mode is used.

When the framework is performing the shuffle, each key output by the mapper is examined, and the following operation is performed: int partition = partitioner.getPartition(key, value, partitions); The value partitions is the number of reduce tasks to perform. The key, if actually output by the reducer, will end up in the output file part partition, with an appropriate number of leading zeros so that the file names are all the same length.

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Listing 12-50 shows you how to design a TextField item, and Figure 12-30 shows you the result of Listing 12-49. Listing 12-50. Designing a TextField Item .textInput { margin: 1; padding: 4; padding-left: 2; padding-right: 2; padding-horizontal: 4; textfield-direct-input: true; font-style: bold; font-size: small; font-color: fontColor; background-color: highlightedBgColor; border-color: black; layout: left; textfield-width: 90; datefield-width: 90; textfield-caret-color: red; textfield-caret-char: >; textfield-show-length: true; textfield-direct-input: true; focused-style: .focusedInput; }

RegistryKey oSubKey; DataTable oDT = new DataTable(); string szDirectory = string.Empty; oDT.Columns.Add(new oDT.Columns.Add(new oDT.Columns.Add(new oDT.Columns.Add(new DataColumn("Name")); DataColumn("Version")); DataColumn("RunTime")); DataColumn("Path"));

The critical issues are that the number of partitions is fixed at job start time and the partition is determined in the output.collect() method of the map task. The only information the partitioner has is the key, the value, the number of partitions, and whatever data was made available to it when it was instantiated. The partitioner interface is very simple, as shown in Listing 2-7. Listing 2-7. The Partitioner Interface /** * Partitions the key space. * * <p><code>Partitioner</code> controls the partitioning of the keys of the * intermediate map-outputs. The key (or a subset of the key) is used to derive * the partition, typically by a hash function. The total number of partitions * is the same as the number of reduce tasks for the job. Hence this controls * which of the <code>m</code> reduce tasks the intermediate key (and hence the * record) is sent for reduction.</p> * * @see Reducer */ public interface Partitioner<K2, V2> extends JobConfigurable { /** * Get the paritition number for a given key (hence record) given the total * number of partitions i.e. number of reduce-tasks for the job. *

* <p>Typically a hash function on a all or a subset of the key.</p> * * @param key the key to be paritioned. * @param value the entry value. * @param numPartitions the total number of partitions. * @return the partition number for the <code>key</code>. */ int getPartition(K2 key, V2 value, int numPartitions); } The JobConfigurable interface provides an additional configure() method, as the MapReduceBase class does.

You can even use bitmap fonts for your TextField. Just use the font-bitmap attribute for setting Tip

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