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: 07/01/2008 |
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6 | * Upgrade to 0.17 |
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7 | */ |
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8 | |
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9 | /** |
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10 | * Purpose : |
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11 | * Parse your record and then store in HBase. |
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12 | * |
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13 | * HowToUse : |
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14 | * Make sure Hadoop file system and Hbase are running correctly. |
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15 | * 1. put test.txt in t1 directory which content is |
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16 | --------------- |
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17 | name:locate:years |
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18 | waue:taiwan:1981 |
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19 | shellon:taiwan:1981 |
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20 | --------------- |
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21 | * 2. hadoop_root/$ bin/hadoop dfs -put t1 t1 |
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22 | ---------------- |
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23 | * Check Result: |
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24 | * Go to hbase console, type : |
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25 | * hql > select * from t1_table; |
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26 | 08/06/06 12:20:48 INFO hbase.HTable: Creating scanner over t1_table starting at key |
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27 | +-------------------------+-------------------------+-------------------------+ |
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28 | | Row | Column | Cell | |
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29 | +-------------------------+-------------------------+-------------------------+ |
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30 | | 0 | person:locate | locate | |
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31 | +-------------------------+-------------------------+-------------------------+ |
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32 | | 0 | person:name | name | |
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33 | +-------------------------+-------------------------+-------------------------+ |
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34 | | 0 | person:years | years | |
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35 | +-------------------------+-------------------------+-------------------------+ |
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36 | | 19 | person:locate | taiwan | |
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37 | +-------------------------+-------------------------+-------------------------+ |
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38 | | 19 | person:name | waue | |
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39 | +-------------------------+-------------------------+-------------------------+ |
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40 | | 19 | person:years | 1981 | |
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41 | +-------------------------+-------------------------+-------------------------+ |
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42 | | 36 | person:locate | taiwan | |
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43 | +-------------------------+-------------------------+-------------------------+ |
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44 | | 36 | person:name | shellon | |
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45 | +-------------------------+-------------------------+-------------------------+ |
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46 | | 36 | person:years | 1981 | |
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47 | +-------------------------+-------------------------+-------------------------+ |
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48 | 3 row(s) in set. (0.04 sec) |
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49 | */ |
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50 | |
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51 | |
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52 | |
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53 | |
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54 | package tw.org.nchc.code; |
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55 | |
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56 | import java.io.IOException; |
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57 | import java.util.Iterator; |
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58 | |
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59 | import org.apache.hadoop.fs.Path; |
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60 | import org.apache.hadoop.hbase.io.ImmutableBytesWritable; |
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61 | import org.apache.hadoop.hbase.mapred.TableReduce; |
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62 | import org.apache.hadoop.io.LongWritable; |
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63 | import org.apache.hadoop.io.MapWritable; |
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64 | import org.apache.hadoop.io.Text; |
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65 | import org.apache.hadoop.mapred.JobClient; |
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66 | import org.apache.hadoop.mapred.JobConf; |
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67 | import org.apache.hadoop.mapred.OutputCollector; |
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68 | import org.apache.hadoop.mapred.Reporter; |
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69 | import org.apache.hadoop.mapred.lib.IdentityMapper; |
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70 | import org.apache.hadoop.mapred.lib.IdentityReducer; |
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71 | |
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72 | |
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73 | public class HBaseRecord2 { |
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74 | |
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75 | /* Denify parameter */ |
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76 | static String[] bf = {"person:name","person:local","person:birthyear"}; |
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77 | // file path in hadoop file system (not phisical file system) |
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78 | String file_path = "/user/waue/t1/test.txt"; |
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79 | // Hbase table name |
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80 | String table_name = "testtable"; |
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81 | |
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82 | |
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83 | // setup MapTask and Reduce Task |
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84 | int mapTasks = 1; |
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85 | int reduceTasks = 1; |
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86 | |
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87 | private static class ReduceClass extends TableReduce<LongWritable, Text> { |
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88 | |
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89 | |
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90 | |
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91 | // on this sample, map is nonuse, we use reduce to handle |
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92 | public void reduce(LongWritable key, Iterator<Text> values, |
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93 | OutputCollector<Text, MapWritable> output, Reporter reporter) |
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94 | throws IOException { |
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95 | // this map holds the columns per row |
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96 | MapWritable map = new MapWritable(); |
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97 | // values.next().getByte() can get value and transfer to byte form, |
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98 | String stro = new String(values.next().getBytes()); |
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99 | String str[] = stro.split(":"); |
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100 | |
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101 | int length = bf.length; |
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102 | |
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103 | // Column id is created dymanically, |
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104 | Text[] col_n = new Text[length]; |
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105 | byte[][] b_l = new byte[length][]; |
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106 | // contents must be ImmutableBytesWritable |
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107 | ImmutableBytesWritable[] w_l = new ImmutableBytesWritable[length]; |
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108 | map.clear(); |
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109 | for(int i = 0; i < length; i++){ |
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110 | col_n[i] = new Text(bf[i]); |
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111 | b_l[i] = str[i].getBytes(); |
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112 | w_l[i] = new ImmutableBytesWritable(b_l[i]); |
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113 | // populate the current row |
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114 | map.put(col_n[i], w_l[i]); |
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115 | } |
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116 | // add the row with the key as the row id |
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117 | output.collect(new Text(key.toString()), map); |
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118 | } |
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119 | } |
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120 | |
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121 | private HBaseRecord2() { |
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122 | } |
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123 | |
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124 | /** |
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125 | * Runs the demo. |
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126 | */ |
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127 | public static void main(String[] args) throws IOException { |
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128 | |
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129 | |
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130 | HBaseRecord2 setup = new HBaseRecord2(); |
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131 | String[] tmp = bf[0].split(":"); |
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132 | String[] CF = {tmp[0]}; |
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133 | BuildHTable build_table = new BuildHTable(setup.table_name, CF); |
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134 | if (!build_table.checkTableExist(setup.table_name)) { |
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135 | if (!build_table.createTable()) { |
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136 | System.out.println("create table error !"); |
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137 | } |
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138 | } else { |
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139 | System.out.println("Table \"" + setup.table_name |
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140 | + "\" has already existed !"); |
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141 | } |
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142 | |
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143 | JobConf conf = new JobConf(HBaseRecord2.class); |
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144 | |
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145 | //Job name; you can modify to any you like |
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146 | conf.setJobName("PersonDataBase"); |
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147 | |
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148 | // Hbase table name must be correct , in our profile is t1_table |
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149 | TableReduce.initJob(setup.table_name, ReduceClass.class, conf); |
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150 | |
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151 | // below are map-reduce profile |
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152 | conf.setNumMapTasks(setup.mapTasks); |
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153 | conf.setNumReduceTasks(setup.reduceTasks); |
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154 | // 0.16 |
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155 | // conf.setInputPath(new Path(setup.file_path)); |
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156 | Convert.setInputPath(conf, new Path(setup.file_path)); |
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157 | conf.setMapperClass(IdentityMapper.class); |
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158 | conf.setCombinerClass(IdentityReducer.class); |
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159 | conf.setReducerClass(ReduceClass.class); |
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160 | JobClient.runJob(conf); |
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161 | } |
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162 | } |
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