| 1 | {{{ |
| 2 | #!java |
| 3 | |
| 4 | package itri; |
| 5 | |
| 6 | //ITRI serial program number 3 |
| 7 | //0. after Itri2Count |
| 8 | //1. run it by MapReduce |
| 9 | |
| 10 | |
| 11 | import java.io.IOException; |
| 12 | |
| 13 | import org.apache.hadoop.conf.Configuration; |
| 14 | import org.apache.hadoop.hbase.client.Put; |
| 15 | import org.apache.hadoop.hbase.client.Result; |
| 16 | import org.apache.hadoop.hbase.client.Scan; |
| 17 | import org.apache.hadoop.hbase.io.ImmutableBytesWritable; |
| 18 | import org.apache.hadoop.hbase.mapreduce.TableInputFormat; |
| 19 | import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil; |
| 20 | import org.apache.hadoop.hbase.mapreduce.TableMapper; |
| 21 | import org.apache.hadoop.hbase.mapreduce.TableOutputFormat; |
| 22 | import org.apache.hadoop.hbase.mapreduce.TableReducer; |
| 23 | import org.apache.hadoop.hbase.util.Bytes; |
| 24 | import org.apache.hadoop.io.Text; |
| 25 | import org.apache.hadoop.mapreduce.Job; |
| 26 | |
| 27 | public class Itri3CalculateMR { |
| 28 | public static class HtMap extends TableMapper<Text, Text> { |
| 29 | |
| 30 | public void map(ImmutableBytesWritable key, Result value, |
| 31 | Context context) throws IOException, InterruptedException { |
| 32 | |
| 33 | String row = Bytes.toString(value.getValue(Bytes.toBytes("Detail"), |
| 34 | Bytes.toBytes("Locate"))); |
| 35 | |
| 36 | int sum = 0; |
| 37 | |
| 38 | for (int i = 0; i < 4; i++) { |
| 39 | String v = Bytes.toString(value.getValue(Bytes |
| 40 | .toBytes("Products"), Bytes.toBytes("P" + (i + 1)))); |
| 41 | String c = Bytes.toString(value.getValue(Bytes |
| 42 | .toBytes("Turnover"), Bytes.toBytes("P" + (i + 1)))); |
| 43 | if (v != null ) { |
| 44 | if(c == null) c="0"; |
| 45 | System.err.println("p=" + v); |
| 46 | System.err.println("c=" + c); |
| 47 | |
| 48 | sum += Integer.parseInt(v) * Integer.parseInt(c); |
| 49 | System.err.println("T" + row + ":" + "p[" + i + "]*" + "c[" |
| 50 | + i + "] => " + v + "*" + c + "+=" |
| 51 | + (sum)); |
| 52 | |
| 53 | } |
| 54 | |
| 55 | } |
| 56 | |
| 57 | context.write(new Text("T" + row), new Text(String.valueOf(sum))); |
| 58 | |
| 59 | } |
| 60 | } |
| 61 | |
| 62 | |
| 63 | public static class HtReduce extends TableReducer<Text, Text, Text> { |
| 64 | |
| 65 | public void reduce(Text key, Iterable<Text> values, Context context) |
| 66 | throws IOException, InterruptedException { |
| 67 | String sum = ""; |
| 68 | for (Text i : values) { |
| 69 | sum += i.toString(); |
| 70 | } |
| 71 | |
| 72 | Put put = new Put(Bytes.toBytes(key.toString())); |
| 73 | |
| 74 | put.add(Bytes.toBytes("Turnover"), Bytes.toBytes("Sum"), Bytes |
| 75 | .toBytes(sum)); |
| 76 | |
| 77 | context.write(new Text(), put); |
| 78 | |
| 79 | } |
| 80 | } |
| 81 | |
| 82 | public static void main(String args[]) throws Exception { |
| 83 | |
| 84 | String tablename = "itri"; |
| 85 | |
| 86 | Scan myScan = new Scan(); |
| 87 | myScan.addColumn("Detail:Locate".getBytes()); |
| 88 | myScan.addColumn("Products:P1".getBytes()); |
| 89 | myScan.addColumn("Products:P2".getBytes()); |
| 90 | myScan.addColumn("Products:P3".getBytes()); |
| 91 | myScan.addColumn("Products:P4".getBytes()); |
| 92 | myScan.addColumn("Turnover:P1".getBytes()); |
| 93 | myScan.addColumn("Turnover:P2".getBytes()); |
| 94 | myScan.addColumn("Turnover:P3".getBytes()); |
| 95 | myScan.addColumn("Turnover:P4".getBytes()); |
| 96 | |
| 97 | Configuration conf = new Configuration(); |
| 98 | |
| 99 | Job job = new Job(conf, "Calculating "); |
| 100 | |
| 101 | job.setJarByClass(Itri3CalculateMR.class); |
| 102 | |
| 103 | job.setMapperClass(HtMap.class); |
| 104 | job.setReducerClass(HtReduce.class); |
| 105 | |
| 106 | job.setMapOutputKeyClass(Text.class); |
| 107 | job.setMapOutputValueClass(Text.class); |
| 108 | |
| 109 | job.setInputFormatClass(TableInputFormat.class); |
| 110 | job.setOutputFormatClass(TableOutputFormat.class); |
| 111 | |
| 112 | TableMapReduceUtil.initTableMapperJob(tablename, myScan, HtMap.class, |
| 113 | Text.class, Text.class, job); |
| 114 | TableMapReduceUtil.initTableReducerJob(tablename, HtReduce.class, job); |
| 115 | |
| 116 | System.exit(job.waitForCompletion(true) ? 0 : 1); |
| 117 | |
| 118 | } |
| 119 | } |
| 120 | |
| 121 | }}} |