1 | /* |
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2 | * Cloud9: A MapReduce Library for Hadoop |
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3 | * |
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4 | * Licensed under the Apache License, Version 2.0 (the "License"); you |
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5 | * may not use this file except in compliance with the License. You may |
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6 | * obtain a copy of the License at |
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7 | * |
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8 | * http://www.apache.org/licenses/LICENSE-2.0 |
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9 | * |
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10 | * Unless required by applicable law or agreed to in writing, software |
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11 | * distributed under the License is distributed on an "AS IS" BASIS, |
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12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or |
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13 | * implied. See the License for the specific language governing |
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14 | * permissions and limitations under the License. |
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15 | */ |
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16 | |
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17 | package tw.org.nchc.util; |
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18 | |
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19 | import java.io.IOException; |
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20 | |
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21 | import org.apache.hadoop.fs.FileSystem; |
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22 | import org.apache.hadoop.fs.Path; |
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23 | import org.apache.hadoop.io.SequenceFile; |
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24 | import org.apache.hadoop.io.Writable; |
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25 | import org.apache.hadoop.io.WritableComparable; |
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26 | import org.apache.hadoop.mapred.JobConf; |
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27 | |
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28 | /** |
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29 | * <p> |
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30 | * Harness for processing one or more {@link SequenceFile}s within a single |
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31 | * process. This class is useful when you want to iterate through all key-value |
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32 | * pairs in a SequenceFile outside the context of a MapReduce task (or where |
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33 | * writing the computation as a MapReduce would be overkill). One example usage |
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34 | * case is to sum up all the values in a SequenceFile — this may be useful |
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35 | * if you want to make sure probabilities sum to one. Here's the code fragment |
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36 | * that would accomplish this: |
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37 | * </p> |
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38 | * |
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39 | * <pre> |
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40 | * KeyValueProcess<Tuple, FloatWritable> process = SequenceFileProcessor |
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41 | * .<Tuple, FloatWritable> process("foo", |
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42 | * new KeyValueProcess<Tuple, FloatWritable>() { |
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43 | * public float sum = 0.0f; |
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44 | * |
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45 | * public void process(Tuple tuple, FloatWritable f) { |
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46 | * sum += f.get(); |
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47 | * } |
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48 | * |
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49 | * public void report() { |
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50 | * setProperty("sum", sum); |
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51 | * } |
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52 | * }); |
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53 | * |
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54 | * float sum = (Float) process.getProperty("sum"); |
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55 | * </pre> |
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56 | * |
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57 | * <p> |
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58 | * The static method takes a path and and a {@link KeyValueProcess}. This |
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59 | * example uses an anonymous inner class to make the code more concise; the |
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60 | * static method returns the <code>KeyValueProcess</code> so that you can |
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61 | * retrieve results from it. The path can either be a file or a directory; if it |
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62 | * is a directory, all files in that directory are processed. |
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63 | * </p> |
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64 | * |
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65 | * @param <K> |
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66 | * type of key |
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67 | * @param <V> |
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68 | * type of value |
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69 | */ |
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70 | public class SequenceFileProcessor<K extends WritableComparable, V extends Writable> { |
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71 | |
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72 | private Path mPath; |
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73 | private JobConf conf; |
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74 | private KeyValueProcess<K, V> mProcessor; |
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75 | private SequenceFile.Reader mReader; |
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76 | private K mKey; |
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77 | private V mValue; |
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78 | |
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79 | /** |
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80 | * Processes one or more <code>SequenceFile</code>s. The |
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81 | * {@link KeyValueProcess} is applied to every key-value pair in the file if |
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82 | * <code>path</code> denotes a file, or all files in the directory if |
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83 | * <code>path</code> denotes a directory. |
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84 | * |
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85 | * @param <K1> |
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86 | * type of key |
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87 | * @param <V1> |
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88 | * type of value |
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89 | * @param path |
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90 | * either a file or a directory |
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91 | * @param p |
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92 | * the KeyValueProcess to apply |
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93 | * @return the KeyValueProcess applied |
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94 | */ |
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95 | public static <K1 extends WritableComparable, V1 extends Writable> KeyValueProcess<K1, V1> process( |
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96 | String path, KeyValueProcess<K1, V1> p) { |
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97 | |
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98 | try { |
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99 | SequenceFileProcessor<K1, V1> processor = new SequenceFileProcessor<K1, V1>( |
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100 | path, p); |
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101 | processor.run(); |
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102 | } catch (Exception e) { |
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103 | e.printStackTrace(); |
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104 | } |
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105 | |
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106 | return p; |
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107 | } |
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108 | |
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109 | private SequenceFileProcessor(String location, KeyValueProcess<K, V> p) |
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110 | throws IOException { |
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111 | |
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112 | mPath = new Path(location); |
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113 | conf = new JobConf(); |
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114 | |
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115 | mProcessor = p; |
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116 | |
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117 | } |
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118 | |
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119 | private void run() throws IOException { |
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120 | if (!FileSystem.get(conf).isFile(mPath)) { |
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121 | for (Path p : FileSystem.get(conf).listPaths(new Path[] { mPath })) { |
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122 | // System.out.println("Applying to " + p); |
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123 | applyToFile(p); |
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124 | } |
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125 | } else { |
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126 | applyToFile(mPath); |
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127 | } |
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128 | |
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129 | } |
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130 | |
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131 | @SuppressWarnings("unchecked") |
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132 | private void applyToFile(Path path) throws IOException { |
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133 | mReader = new SequenceFile.Reader(FileSystem.get(conf), path, conf); |
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134 | |
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135 | try { |
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136 | mKey = (K) mReader.getKeyClass().newInstance(); |
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137 | mValue = (V) mReader.getValueClass().newInstance(); |
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138 | } catch (Exception e) { |
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139 | e.printStackTrace(); |
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140 | } |
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141 | |
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142 | while (mReader.next(mKey, mValue) == true) { |
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143 | mProcessor.process(mKey, mValue); |
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144 | } |
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145 | |
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146 | mReader.close(); |
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147 | mProcessor.report(); |
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148 | } |
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149 | } |
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