Create word cloud in powerpoint
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Putting it all together JobConf conf = new JobConf(WordCount.class) tJobName(“wordcount”) tOutputKe圜lass(Text.class) tOutputValueClass(IntWritable.class) tMapperClass(Map.class) tCombinerClass(Reduce.class) tReducer(Reduce.class) tInputFormat(TextInputFormat.class) tOutputFormat(TextOutputFormat.class) tInputPaths(conf, new Path(args)) tOutputPath(conf, new Path(args)) nJob(conf) The launching program then submits the job and typically waits for it to complete.The locations for your input and output.The output key and value types (input types are inferred from the InputFormat).Create a launching program for your application.Applications can add arbitrary values to the JobConf.The framework defines attributes to control how the job is executed.JobConfs are maps from attribute names to string values.Jobs are controlled by configuring JobConfs.Word Count Mapper public static class Map extends MapReduceBase implements Mapper Input: key: word, value: set of counts.Map tasks are scheduled close to the inputs when possible.Map-Reduce queries HDFS for locations of input data.Map-Reduce + HDFS is a very effective solution.With large data, bandwidth to data is a problem.
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Create word cloud in powerpoint full#
Goal: % disk full on DataNodes should be similar.When all replicas are written, the Client moves on to write the next block in file.The first DataNode forwards the data to the next node in the Pipeline.
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Client writes block to the first DataNode.Client retrieves a list of DataNodes on which to place replicas of a block.
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