[20] | 1 | /** |
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| 2 | * Program: DemoHBaseSink.java |
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| 3 | * Editor: Waue Chen |
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| 4 | * From : NCHC. Taiwn |
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| 5 | * Last Update Date: 07/02/2008 |
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| 6 | * Upgrade to 0.17 |
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| 7 | * Re-code from : Cloud9: A MapReduce Library for Hadoop |
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| 8 | */ |
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| 9 | /* |
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| 10 | * Cloud9: A MapReduce Library for Hadoop |
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| 11 | */ |
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| 12 | |
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| 13 | package tw.org.nchc.demo; |
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| 14 | |
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| 15 | import java.io.IOException; |
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| 16 | import java.util.Iterator; |
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| 17 | |
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| 18 | import org.apache.hadoop.fs.Path; |
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| 19 | import org.apache.hadoop.hbase.io.ImmutableBytesWritable; |
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| 20 | import org.apache.hadoop.hbase.mapred.TableReduce; |
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| 21 | import org.apache.hadoop.io.LongWritable; |
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| 22 | import org.apache.hadoop.io.MapWritable; |
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| 23 | import org.apache.hadoop.io.Text; |
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| 24 | import org.apache.hadoop.mapred.JobClient; |
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| 25 | import org.apache.hadoop.mapred.JobConf; |
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| 26 | import org.apache.hadoop.mapred.OutputCollector; |
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| 27 | import org.apache.hadoop.mapred.Reporter; |
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| 28 | import org.apache.hadoop.mapred.lib.IdentityMapper; |
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| 29 | import org.apache.hadoop.mapred.lib.IdentityReducer; |
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| 30 | |
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| 31 | import tw.org.nchc.code.Convert; |
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| 32 | |
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| 33 | /** |
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| 34 | * |
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| 35 | */ |
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| 36 | public class DemoHBaseSink { |
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| 37 | |
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| 38 | private static class ReduceClass extends TableReduce<LongWritable, Text> { |
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| 39 | |
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| 40 | // this is the column we're going to be writing |
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| 41 | private static final Text col = new Text("default:text"); |
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| 42 | |
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| 43 | // this map holds the columns per row |
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| 44 | private MapWritable map = new MapWritable(); |
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| 45 | |
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| 46 | public void reduce(LongWritable key, Iterator<Text> values, |
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| 47 | OutputCollector<Text, MapWritable> output, Reporter reporter) |
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| 48 | throws IOException { |
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| 49 | |
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| 50 | // contents must be ImmutableBytesWritable |
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| 51 | ImmutableBytesWritable bytes = new ImmutableBytesWritable(values |
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| 52 | .next().getBytes()); |
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| 53 | |
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| 54 | // populate the current row |
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| 55 | map.clear(); |
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| 56 | map.put(col, bytes); |
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| 57 | |
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| 58 | // add the row with the key as the row id |
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| 59 | output.collect(new Text(key.toString()), map); |
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| 60 | } |
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| 61 | } |
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| 62 | |
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| 63 | private DemoHBaseSink() { |
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| 64 | } |
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| 65 | |
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| 66 | /** |
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| 67 | * Runs the demo. |
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| 68 | */ |
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| 69 | public static void main(String[] args) throws IOException { |
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| 70 | String filename = "/shared/sample"; |
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| 71 | |
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| 72 | int mapTasks = 1; |
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| 73 | int reduceTasks = 1; |
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| 74 | |
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| 75 | JobConf conf = new JobConf(DemoHBaseSink.class); |
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| 76 | conf.setJobName("wordcount"); |
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| 77 | |
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| 78 | // must initialize the TableReduce before running job |
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| 79 | TableReduce.initJob("test", ReduceClass.class, conf); |
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| 80 | |
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| 81 | conf.setNumMapTasks(mapTasks); |
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| 82 | conf.setNumReduceTasks(reduceTasks); |
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| 83 | // 0.16 |
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| 84 | // conf.setInputPath(new Path(filename)); |
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| 85 | Convert.setInputPath(conf, new Path(filename)); |
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| 86 | |
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| 87 | conf.setMapperClass(IdentityMapper.class); |
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| 88 | conf.setCombinerClass(IdentityReducer.class); |
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| 89 | conf.setReducerClass(ReduceClass.class); |
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| 90 | |
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| 91 | JobClient.runJob(conf); |
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| 92 | } |
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| 93 | } |
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