[15] | 1 | /** |
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| 2 | * Program: HBaseRecord.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: 06/01/2008 |
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| 6 | */ |
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| 7 | |
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| 8 | /** |
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| 9 | * Purpose : |
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| 10 | * Parse your record and then store in HBase. |
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| 11 | * |
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| 12 | * HowToUse : |
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| 13 | * Make sure Hadoop file system and Hbase are running correctly. |
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| 14 | * 1. put test.txt in t1 directory which content is |
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| 15 | --------------- |
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| 16 | name:locate:years |
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| 17 | waue:taiwan:1981 |
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| 18 | shellon:taiwan:1981 |
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| 19 | --------------- |
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| 20 | * 2. hadoop_root/$ bin/hadoop dfs -put t1 t1 |
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| 21 | * 3. hbase_root/$ bin/hbase shell |
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| 22 | * 4. hql > create table t1_table("person"); |
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| 23 | * 5. Come to Eclipse and run this code, and we will let database as that |
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| 24 | t1_table -> person |
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| 25 | ---------------- |
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| 26 | | name | locate | years | |
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| 27 | | waue | taiwan | 1981 | |
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| 28 | | shellon | taiwan | 1981 | |
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| 29 | ---------------- |
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| 30 | * Check Result: |
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| 31 | * Go to hbase console, type : |
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| 32 | * hql > select * from t1_table; |
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| 33 | 08/06/06 12:20:48 INFO hbase.HTable: Creating scanner over t1_table starting at key |
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| 34 | +-------------------------+-------------------------+-------------------------+ |
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| 35 | | Row | Column | Cell | |
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| 36 | +-------------------------+-------------------------+-------------------------+ |
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| 37 | | 0 | person:locate | locate | |
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| 38 | +-------------------------+-------------------------+-------------------------+ |
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| 39 | | 0 | person:name | name | |
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| 40 | +-------------------------+-------------------------+-------------------------+ |
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| 41 | | 0 | person:years | years | |
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| 42 | +-------------------------+-------------------------+-------------------------+ |
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| 43 | | 19 | person:locate | taiwan | |
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| 44 | +-------------------------+-------------------------+-------------------------+ |
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| 45 | | 19 | person:name | waue | |
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| 46 | +-------------------------+-------------------------+-------------------------+ |
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| 47 | | 19 | person:years | 1981 | |
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| 48 | +-------------------------+-------------------------+-------------------------+ |
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| 49 | | 36 | person:locate | taiwan | |
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| 50 | +-------------------------+-------------------------+-------------------------+ |
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| 51 | | 36 | person:name | shellon | |
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| 52 | +-------------------------+-------------------------+-------------------------+ |
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| 53 | | 36 | person:years | 1981 | |
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| 54 | +-------------------------+-------------------------+-------------------------+ |
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| 55 | 3 row(s) in set. (0.04 sec) |
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| 56 | */ |
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| 57 | |
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| 58 | |
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| 59 | |
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| 60 | |
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| 61 | package tw.org.nchc.code; |
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| 62 | |
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| 63 | import java.io.BufferedReader; |
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| 64 | import java.io.BufferedWriter; |
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| 65 | import java.io.File; |
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| 66 | import java.io.FileReader; |
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| 67 | import java.io.FileWriter; |
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| 68 | import java.io.IOException; |
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| 69 | import java.util.Iterator; |
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| 70 | import org.apache.hadoop.fs.FileSystem; |
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| 71 | import org.apache.hadoop.fs.Path; |
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| 72 | import org.apache.hadoop.hbase.io.ImmutableBytesWritable; |
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| 73 | import org.apache.hadoop.hbase.mapred.TableReduce; |
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| 74 | import org.apache.hadoop.io.LongWritable; |
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| 75 | import org.apache.hadoop.io.MapWritable; |
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| 76 | import org.apache.hadoop.io.Text; |
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| 77 | import org.apache.hadoop.mapred.JobClient; |
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| 78 | import org.apache.hadoop.mapred.JobConf; |
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| 79 | import org.apache.hadoop.mapred.OutputCollector; |
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| 80 | import org.apache.hadoop.mapred.Reporter; |
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| 81 | import org.apache.hadoop.mapred.lib.IdentityMapper; |
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| 82 | import org.apache.hadoop.mapred.lib.IdentityReducer; |
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| 83 | |
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| 84 | |
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| 85 | public class HBaseRecordPro { |
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| 86 | |
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| 87 | /* Denify parameter */ |
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| 88 | |
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| 89 | // file path in hadoop file system (not phisical file system) |
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| 90 | private String file_path = "/home/waue/test.txt"; |
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| 91 | |
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| 92 | // setup MapTask and Reduce Task |
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| 93 | |
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| 94 | |
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| 95 | private final static String bf = "person:"; |
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| 96 | private final String table_name = "testpro"; |
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| 97 | |
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| 98 | private final static String sp = ":"; |
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| 99 | private static String[] cf; |
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| 100 | |
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| 101 | private static class ReduceClass extends TableReduce<LongWritable, Text> { |
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| 102 | |
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| 103 | |
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| 104 | |
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| 105 | // on this sample, map is nonuse, we use reduce to handle |
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| 106 | public void reduce(LongWritable key, Iterator<Text> values, |
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| 107 | OutputCollector<Text, MapWritable> output, Reporter reporter) |
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| 108 | throws IOException { |
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| 109 | |
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| 110 | // this map holds the columns per row |
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| 111 | MapWritable map = new MapWritable(); |
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| 112 | // values.next().getByte() can get value and transfer to byte form, |
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| 113 | String stro = new String(values.next().getBytes()); |
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| 114 | String str[] = stro.split(sp); |
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| 115 | |
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| 116 | int length = cf.length; |
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| 117 | |
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| 118 | // Column id is created dymanically, |
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| 119 | Text[] col_n = new Text[length]; |
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| 120 | byte[][] b_l = new byte[length][]; |
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| 121 | // contents must be ImmutableBytesWritable |
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| 122 | ImmutableBytesWritable[] w_l = new ImmutableBytesWritable[length]; |
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| 123 | map.clear(); |
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| 124 | for(int i = 0; i < length; i++){ |
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| 125 | col_n[i] = new Text(bf+cf[i]); |
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| 126 | b_l[i] = str[i].getBytes(); |
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| 127 | w_l[i] = new ImmutableBytesWritable(b_l[i]); |
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| 128 | // populate the current row |
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| 129 | map.put(col_n[i], w_l[i]); |
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| 130 | } |
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| 131 | // add the row with the key as the row id |
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| 132 | output.collect(new Text(key.toString()), map); |
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| 133 | } |
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| 134 | } |
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| 135 | |
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| 136 | private HBaseRecordPro() { |
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| 137 | } |
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| 138 | |
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| 139 | String parseFirstLine(String in, String ou) throws IOException { |
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| 140 | BufferedReader fi = new BufferedReader(new FileReader(new File(in))); |
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| 141 | BufferedWriter fw = new BufferedWriter(new FileWriter(new File(ou))); |
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| 142 | String first_line,data; |
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| 143 | first_line = fi.readLine(); |
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| 144 | do{ |
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| 145 | data = fi.readLine(); |
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| 146 | if( data == null){ |
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| 147 | break; |
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| 148 | }else{ |
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| 149 | fw.write(data+"\n"); |
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| 150 | } |
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| 151 | }while(true); |
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| 152 | fw.close(); |
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| 153 | return first_line; |
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| 154 | } |
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| 155 | /** |
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| 156 | * Runs the demo. |
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| 157 | */ |
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| 158 | public static void main(String[] args) throws IOException { |
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| 159 | |
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| 160 | final String file_tmp = "/tmp/HBaseRecord.text.tmp"; |
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| 161 | final int mapTasks = 1; |
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| 162 | final int reduceTasks = 1; |
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| 163 | String[] column_family = {bf}; |
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| 164 | |
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| 165 | HBaseRecordPro setup = new HBaseRecordPro(); |
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| 166 | |
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| 167 | String first_line = setup.parseFirstLine(setup.file_path, file_tmp); |
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| 168 | System.out.println(first_line); |
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| 169 | HBaseRecordPro.cf = first_line.split(sp); |
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| 170 | //test |
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| 171 | for(int i =0 ; i< cf.length; i++){ |
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| 172 | System.out.println("column["+i+"]"+bf+cf[i]); |
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| 173 | } |
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| 174 | |
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| 175 | BuildHTable build_table = new BuildHTable(setup.table_name,column_family); |
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| 176 | if (!build_table.checkTableExist(setup.table_name)) { |
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| 177 | if (!build_table.createTable()) { |
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| 178 | System.out.println("create table error !"); |
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| 179 | } |
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| 180 | } else { |
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| 181 | System.out.println("Table \"" + setup.table_name |
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| 182 | + "\" has already existed !"); |
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| 183 | } |
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| 184 | JobConf conf = new JobConf(HBaseRecordPro.class); |
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| 185 | FileSystem fileconf = FileSystem.get(conf); |
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| 186 | fileconf.copyFromLocalFile(true,new Path(file_tmp), new Path(file_tmp)); |
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| 187 | //Job name; you can modify to any you like |
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| 188 | conf.setJobName("PersonDataBase"); |
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| 189 | |
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| 190 | // Hbase table name must be correct , in our profile is t1_table |
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| 191 | TableReduce.initJob(setup.table_name, ReduceClass.class, conf); |
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| 192 | |
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| 193 | // below are map-reduce profile |
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| 194 | conf.setNumMapTasks(mapTasks); |
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| 195 | conf.setNumReduceTasks(reduceTasks); |
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| 196 | conf.setInputPath(new Path(file_tmp)); |
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| 197 | conf.setMapperClass(IdentityMapper.class); |
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| 198 | conf.setCombinerClass(IdentityReducer.class); |
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| 199 | conf.setReducerClass(ReduceClass.class); |
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| 200 | JobClient.runJob(conf); |
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| 201 | |
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| 202 | } |
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| 203 | } |
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