Package org.apache.crunch.types

Examples of org.apache.crunch.types.PTypeFamily

281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
        }));
    return new FirstElementPObject<S>(minCollect);
  }

  public static <K, V> PTable<K, Collection<V>> collectValues(PTable<K, V> collect) {
    PTypeFamily tf = collect.getTypeFamily();
    final PType<V> valueType = collect.getValueType();
    return collect.groupByKey().mapValues("collect",
        new MapFn<Iterable<V>, Collection<V>>() {
          @Override
          public void initialize() {
            valueType.initialize(getConfiguration());
          }

          public Collection<V> map(Iterable<V> values) {
            List<V> collected = Lists.newArrayList();
            for (V value : values) {
              collected.add(valueType.getDetachedValue(value));
            }
            return collected;
          }
        }, tf.collections(collect.getValueType()));
  }
View Full Code Here
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
          }
        }, tf.collections(collect.getValueType()));
  }
 
  public static <S> PCollection<S> aggregate(PCollection<S> collect, Aggregator<S> aggregator) {
    PTypeFamily tf = collect.getTypeFamily();
    return collect.parallelDo("Aggregate.aggregator", new MapFn<S, Pair<Void, S>>() {
      public Pair<Void, S> map(S input) {
        return Pair.of(null, input);
      }
    }, tf.tableOf(tf.nulls(), collect.getPType()))
    .groupByKey(1)
    .combineValues(aggregator)
    .values();
  }
View Full Code Here
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
    File transformedOutput = tmpDir.getFile("transformed-output");
    File tfOutput = tmpDir.getFile("tf-output");

    PCollection<String> docs = pipeline.readTextFile(input);

    PTypeFamily ptf = docs.getTypeFamily();

    /*
     * Input: String Input title text
     *
     * Output: PTable<Pair<String, String>, Long> Pair<Pair<word, title>, count
     * in title>
     */
    PTable<Pair<String, String>, Long> tf = Aggregate.count(docs.parallelDo("term document frequency",
        new DoFn<String, Pair<String, String>>() {
          @Override
          public void process(String doc, Emitter<Pair<String, String>> emitter) {
            String[] kv = doc.split("\t");
            String title = kv[0];
            String text = kv[1];
            for (String word : text.split("\\W+")) {
              if (!word.isEmpty()) {
                Pair<String, String> pair = Pair.of(word.toLowerCase(Locale.ENGLISH), title);
                emitter.emit(pair);
              }
            }
          }
        }, ptf.pairs(ptf.strings(), ptf.strings())));

    if (transformTF) {
      /*
       * Input: Pair<Pair<String, String>, Long> Pair<Pair<word, title>, count
       * in title>
       *
       * Output: PTable<String, Pair<String, Long>> PTable<word, Pair<title,
       * count in title>>
       */
      PTable<String, Pair<String, Long>> wordDocumentCountPair = tf.parallelDo("transform wordDocumentPairCount",
          new MapFn<Pair<Pair<String, String>, Long>, Pair<String, Pair<String, Long>>>() {
            @Override
            public Pair<String, Pair<String, Long>> map(Pair<Pair<String, String>, Long> input) {
              Pair<String, String> wordDocumentPair = input.first();
              return Pair.of(wordDocumentPair.first(), Pair.of(wordDocumentPair.second(), input.second()));
            }
          }, ptf.tableOf(ptf.strings(), ptf.pairs(ptf.strings(), ptf.longs())));

      pipeline.writeTextFile(wordDocumentCountPair, transformedOutput.getAbsolutePath());
    }

    SourceTarget<String> st = At.textFile(tfOutput.getAbsolutePath());
View Full Code Here
72
73
74
75
76
77
78
79
80
81
82
  @Rule
  public TemporaryPath tmpDir = TemporaryPaths.create();

  @Test
  public void testAvroReflect() throws Exception {
    PTypeFamily tf = AvroTypeFamily.getInstance();
    PType<PageRankData> prType = Avros.reflects(PageRankData.class);
    String urlInput = tmpDir.copyResourceFileName("urls.txt");
    run(new MRPipeline(PageRankIT.class, tmpDir.getDefaultConfiguration()),
        urlInput, prType, tf);
  }
View Full Code Here
81
82
83
84
85
86
87
88
89
90
        urlInput, prType, tf);
  }

  @Test
  public void testAvroMReflectInMemory() throws Exception {
    PTypeFamily tf = AvroTypeFamily.getInstance();
    PType<PageRankData> prType = Avros.reflects(PageRankData.class);
    String urlInput = tmpDir.copyResourceFileName("urls.txt");
    run(MemPipeline.getInstance(), urlInput, prType, tf);
  }
View Full Code Here
89
90
91
92
93
94
95
96
97
98
99
    run(MemPipeline.getInstance(), urlInput, prType, tf);
  }

  @Test
  public void testAvroJSON() throws Exception {
    PTypeFamily tf = AvroTypeFamily.getInstance();
    PType<PageRankData> prType = PTypes.jsonString(PageRankData.class, tf);
    String urlInput = tmpDir.copyResourceFileName("urls.txt");
    run(new MRPipeline(PageRankIT.class, tmpDir.getDefaultConfiguration()),
        urlInput, prType, tf);
  }
View Full Code Here
98
99
100
101
102
103
104
105
106
107
108
        urlInput, prType, tf);
  }

  @Test
  public void testWritablesJSON() throws Exception {
    PTypeFamily tf = WritableTypeFamily.getInstance();
    PType<PageRankData> prType = PTypes.jsonString(PageRankData.class, tf);
    String urlInput = tmpDir.copyResourceFileName("urls.txt");
    run(new MRPipeline(PageRankIT.class, tmpDir.getDefaultConfiguration()),
        urlInput, prType, tf);
  }
View Full Code Here
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
    run(new MRPipeline(PageRankIT.class, tmpDir.getDefaultConfiguration()),
        urlInput, prType, tf);
  }

  public static PTable<String, PageRankData> pageRank(PTable<String, PageRankData> input, final float d) {
    PTypeFamily ptf = input.getTypeFamily();
    PTable<String, Float> outbound = input.parallelDo(new DoFn<Pair<String, PageRankData>, Pair<String, Float>>() {
      @Override
      public void process(Pair<String, PageRankData> input, Emitter<Pair<String, Float>> emitter) {
        PageRankData prd = input.second();
        for (String link : prd.urls) {
          emitter.emit(Pair.of(link, prd.propagatedScore()));
        }
      }
    }, ptf.tableOf(ptf.strings(), ptf.floats()));

    return input.cogroup(outbound).mapValues(
        new MapFn<Pair<Collection<PageRankData>, Collection<Float>>, PageRankData>() {
          @Override
          public PageRankData map(Pair<Collection<PageRankData>, Collection<Float>> input) {
View Full Code Here
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
  public static class Collect<V1, V2, V3> extends Tuple3<Collection<V1>, Collection<V2>, Collection<V3>> {

    public static <V1, V2, V3> PType<Tuple3.Collect<V1, V2, V3>> derived(PType<V1> first,
        PType<V2> second, PType<V3> third) {
      PTypeFamily tf = first.getFamily();
      PType<Tuple3<Collection<V1>, Collection<V2>, Collection<V3>>> pt =
          tf.triples(
              tf.collections(first),
              tf.collections(second),
              tf.collections(third));
      Object clazz = Tuple3.Collect.class;
      return tf.derived((Class<Tuple3.Collect<V1, V2, V3>>) clazz,
          new MapFn<Tuple3<Collection<V1>, Collection<V2>, Collection<V3>>, Collect<V1, V2, V3>>() {
        @Override
        public Collect<V1, V2, V3> map(
            Tuple3<Collection<V1>, Collection<V2>, Collection<V3>> in) {
          return new Collect<V1, V2, V3>(in.first(), in.second(), in.third());
View Full Code Here
269
270
271
272
273
274
275
276
   * @param keyType The {@code PType} for the key of the SequenceFile entry
   * @param valueType The {@code PType} for the value of the SequenceFile entry
   * @return A new {@code TableSourceTarget<K, V>} instance
   */
  public static <K, V> TableSourceTarget<K, V> sequenceFile(Path path, PType<K> keyType, PType<V> valueType) {
    PTypeFamily ptf = keyType.getFamily();
    return new SeqFileTableSourceTarget<K, V>(path, ptf.tableOf(keyType, valueType));
  }
View Full Code Here
TOP

Related Classes of org.apache.crunch.types.PTypeFamily

  • org.apache.crunch.contrib.bloomfilter.BloomFilterFactory
  • org.apache.crunch.io.At
  • org.apache.crunch.io.From
  • org.apache.crunch.lib.Aggregate
  • org.apache.crunch.lib.Cartesian
  • org.apache.crunch.lib.Cogroup
  • org.apache.crunch.lib.Distinct
  • org.apache.crunch.lib.Join
  • org.apache.crunch.lib.join.DefaultJoinStrategy
  • org.apache.crunch.lib.join.MapsideJoin
    • Copyright © 2018 www.massapicom. All rights reserved.
    All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.