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The basic JoinRecordReader.next(key, value) method returns the keys of the entire set of keys present in the WrappedRecordReaders in OutputComparator order. The value is a TupleWritable object, which contains each value associated with the key across the set of WrappedRecordReaders, and information about which WrappedRecordReader the value originated in. A JoinRecordReader can have any ComposableRecordReader implementer as one of its inputs; by default, they are WrappedRecordReaders and JoinRecordReaders. Each map task is given a JoinRecordReader from the outermost join as the task input record reader and receives the key/value sets of the join one by one in the map method. In a simple case, this JoinRecordReader will have N WrappedRecordReaders from slice N of the original InputSplit arrays. The default outer join behavior will receive each key in the input split set, in the sort order with all the values for that key. The map method behaves very much like a traditional reduce.



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this.menuScreen.append( "Settings", null ); //#style mainMenuItem this.menuScreen.append( "Highscore", null ); //#style mainMenuItem this.menuScreen.append( "Quit", null ); this.menuScreen.addCommand( this.startGameCmd ); this.menuScreen.addCommand( this.quitCmd ); this.menuScreen.setCommandListener( this ); }





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The join framework comes with support for three types of joins: outer, inner, and override Joins can be made on direct input datasets or on the results of joining input datasets; arbitrary deep nesting of this joining structure is supported Inner Join The inner join is a traditional database-style inner join The map method will be called with a key/value set only if every dataset in the join contains the key The TupleWritable value will contain a value for every dataset in the join Outer Join The outer join is a traditional database-style outer join The map method will be called for every key in the set of datasets being joined The TupleWritable value will contain values for only those datasets that have a value for this key Override Join The override join is unusual in that the there will only ever be one value passed to the map method.

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.mainMenu and .mainMenuItem. In that case, you would not need to change the source code at all. Dynamic styles are applied during runtime, whereas static ones are applied during the compilation phase. The drawback of dynamic styles is that you can use only one style for a specific Item or Screen type. They are also more resource hungry. This is why I use only static and predefined styles in this book.

In the inner and other joins there will be a set of values passed to the map method The override join maps a call to the map method with each key in the input split set and with that single value from the rightmost input split or join that has a value for the key The use of this join style requires that you order your input datasets (from least to most important) For any given key, your map method will be given the value from the most important dataset that contains the key Composing Your Own Join Operators The join framework provides a mechanism for defining additional operators The configuration key mapredjoindefineYOUR_OPERATOR must be set to the class name of a class that implements the ComposableRecordReader interface The string YOUR_OPERATOR in the key definition must be replaced with the name of the custom join operation.

The DockPanel container displays a collection of controls relative to one another. You can control this relationship by setting the Dock property in the child element. The code in Listing 6-7 displays the window in Figure 6-9.

YOUR_OPERATOR can then be passed as the op parameter to the compose methods that accept op, and used anywhere that the predefined operators, inner, outer, and override, are used..

You also need to change the usePolishGui attribute of the <build> element in the build.xml script so the styles defined in the polish.css file are applied to your application. When you now restart J2ME Polish, you will get the much nicer GUI shown in Figure 7-2.

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