Package org.apache.crunch.types

Examples of org.apache.crunch.types.PTypeFamily.ints()

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    PTypeFamily rtf = right.getTypeFamily();

    PTable<Pair<Integer, Integer>, Pair<K1, U>> leftCross = left.parallelDo(new GFCross<Pair<K1, U>>(0, parallelism),
        ltf.tableOf(ltf.pairs(ltf.ints(), ltf.ints()), ltf.pairs(left.getKeyType(), left.getValueType())));
    PTable<Pair<Integer, Integer>, Pair<K2, V>> rightCross = right.parallelDo(new GFCross<Pair<K2, V>>(1, parallelism),
        rtf.tableOf(rtf.pairs(rtf.ints(), rtf.ints()), rtf.pairs(right.getKeyType(), right.getValueType())));

    PTable<Pair<Integer, Integer>, Pair<Collection<Pair<K1, U>>, Collection<Pair<K2, V>>>> cg = leftCross
        .cogroup(rightCross);

    PTypeFamily ctf = cg.getTypeFamily();
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      throw new Error();

    PTable<Pair<Integer, Integer>, U> leftCross = left.parallelDo(new GFCross<U>(0, parallelism),
        ltf.tableOf(ltf.pairs(ltf.ints(), ltf.ints()), left.getPType()));
    PTable<Pair<Integer, Integer>, V> rightCross = right.parallelDo(new GFCross<V>(1, parallelism),
        rtf.tableOf(rtf.pairs(rtf.ints(), rtf.ints()), right.getPType()));

    PTable<Pair<Integer, Integer>, Pair<Collection<U>, Collection<V>>> cg = leftCross.cogroup(rightCross);

    PTypeFamily ctf = cg.getTypeFamily();
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      throw new Error();

    PTable<Pair<Integer, Integer>, U> leftCross = left.parallelDo(new GFCross<U>(0, parallelism),
        ltf.tableOf(ltf.pairs(ltf.ints(), ltf.ints()), left.getPType()));
    PTable<Pair<Integer, Integer>, V> rightCross = right.parallelDo(new GFCross<V>(1, parallelism),
        rtf.tableOf(rtf.pairs(rtf.ints(), rtf.ints()), right.getPType()));

    PTable<Pair<Integer, Integer>, Pair<Collection<U>, Collection<V>>> cg = leftCross.cogroup(rightCross);

    PTypeFamily ctf = cg.getTypeFamily();
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  public static <K, V> PTable<K, V> top(PTable<K, V> ptable, int limit, boolean maximize) {
    PTypeFamily ptf = ptable.getTypeFamily();
    PTableType<K, V> base = ptable.getPTableType();
    PType<Pair<K, V>> pairType = ptf.pairs(base.getKeyType(), base.getValueType());
    PTableType<Integer, Pair<K, V>> inter = ptf.tableOf(ptf.ints(), pairType);
    return ptable.parallelDo("top" + limit + "map", new TopKFn<K, V>(limit, maximize), inter).groupByKey(1)
        .combineValues(new TopKCombineFn<K, V>(limit, maximize))
        .parallelDo("top" + limit + "reduce", new DoFn<Pair<Integer, Pair<K, V>>, Pair<K, V>>() {
          public void process(Pair<Integer, Pair<K, V>> input, Emitter<Pair<K, V>> emitter) {
            emitter.emit(input.second());
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  public void testMRMaterializeToMap() throws IOException {
    Pipeline p = new MRPipeline(MaterializeToMapIT.class, tmpDir.getDefaultConfiguration());
    String inputFile = tmpDir.copyResourceFileName("set1.txt");
    PCollection<String> c = p.readTextFile(inputFile);
    PTypeFamily tf = c.getTypeFamily();
    PTable<Integer, String> t = c.parallelDo(new Set1Mapper(), tf.tableOf(tf.ints(), tf.strings()));
    Map<Integer, String> m = t.materializeToMap();
    assertMatches(m);
  }

}
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