Examples with Tuple3 org.apache.flink.api.java.tuple.Tuple3 used on opensource projects

Example 41 with Tuple3

use of org.apache.flink.api.java.tuple.Tuple3 in project flink by apache.

the class UnionITCase method testUnion2IdenticalDataSets.

@Test
public void testUnion2IdenticalDataSets() throws Exception {
    /*
		 * Union of 2 Same Data Sets
		 */
    final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
    DataSet<Tuple3<Integer, Long, String>> ds = CollectionDataSets.get3TupleDataSet(env);
    DataSet<Tuple3<Integer, Long, String>> unionDs = ds.union(CollectionDataSets.get3TupleDataSet(env));
    List<Tuple3<Integer, Long, String>> result = unionDs.collect();
    String expected = FULL_TUPLE_3_STRING + FULL_TUPLE_3_STRING;
    compareResultAsTuples(result, expected);
}

Example 42 with Tuple3

use of org.apache.flink.api.java.tuple.Tuple3 in project flink by apache.

the class ValueCollectionDataSets method getGroupSortedNestedTupleDataSet2.

public static DataSet<Tuple3<Tuple2<IntValue, IntValue>, StringValue, IntValue>> getGroupSortedNestedTupleDataSet2(ExecutionEnvironment env) {
    List<Tuple3<Tuple2<IntValue, IntValue>, StringValue, IntValue>> data = new ArrayList<>();
    data.add(new Tuple3<>(new Tuple2<IntValue, IntValue>(new IntValue(1), new IntValue(3)), new StringValue("a"), new IntValue(2)));
    data.add(new Tuple3<>(new Tuple2<IntValue, IntValue>(new IntValue(1), new IntValue(2)), new StringValue("a"), new IntValue(1)));
    data.add(new Tuple3<>(new Tuple2<IntValue, IntValue>(new IntValue(2), new IntValue(1)), new StringValue("a"), new IntValue(3)));
    data.add(new Tuple3<>(new Tuple2<IntValue, IntValue>(new IntValue(2), new IntValue(2)), new StringValue("b"), new IntValue(4)));
    data.add(new Tuple3<>(new Tuple2<IntValue, IntValue>(new IntValue(3), new IntValue(3)), new StringValue("c"), new IntValue(5)));
    data.add(new Tuple3<>(new Tuple2<IntValue, IntValue>(new IntValue(3), new IntValue(6)), new StringValue("c"), new IntValue(6)));
    data.add(new Tuple3<>(new Tuple2<IntValue, IntValue>(new IntValue(4), new IntValue(9)), new StringValue("c"), new IntValue(7)));
    TupleTypeInfo<Tuple3<Tuple2<IntValue, IntValue>, StringValue, IntValue>> type = new TupleTypeInfo<>(new TupleTypeInfo<Tuple2<IntValue, IntValue>>(ValueTypeInfo.INT_VALUE_TYPE_INFO, ValueTypeInfo.INT_VALUE_TYPE_INFO), ValueTypeInfo.STRING_VALUE_TYPE_INFO, ValueTypeInfo.INT_VALUE_TYPE_INFO);
    return env.fromCollection(data, type);
}

Example 43 with Tuple3

use of org.apache.flink.api.java.tuple.Tuple3 in project flink by apache.

the class ReduceITCase method testAllReduceForTuple.

@Test
public void testAllReduceForTuple() throws Exception {
    /*
		 * All-reduce for tuple
		 */
    final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
    DataSet<Tuple3<Integer, Long, String>> ds = CollectionDataSets.get3TupleDataSet(env);
    DataSet<Tuple3<Integer, Long, String>> reduceDs = ds.reduce(new AllAddingTuple3Reduce());
    List<Tuple3<Integer, Long, String>> result = reduceDs.collect();
    String expected = "231,91,Hello World\n";
    compareResultAsTuples(result, expected);
}

Example 44 with Tuple3

use of org.apache.flink.api.java.tuple.Tuple3 in project flink by apache.

the class ReduceITCase method testReduceOnTuplesWithKeyFieldSelector.

@Test
public void testReduceOnTuplesWithKeyFieldSelector() throws Exception {
    /*
		 * Reduce on tuples with key field selector
		 */
    final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
    DataSet<Tuple3<Integer, Long, String>> ds = CollectionDataSets.get3TupleDataSet(env);
    DataSet<Tuple3<Integer, Long, String>> reduceDs = ds.groupBy(1).reduce(new Tuple3Reduce("B-)"));
    List<Tuple3<Integer, Long, String>> result = reduceDs.collect();
    String expected = "1,1,Hi\n" + "5,2,B-)\n" + "15,3,B-)\n" + "34,4,B-)\n" + "65,5,B-)\n" + "111,6,B-)\n";
    compareResultAsTuples(result, expected);
}

Example 45 with Tuple3

use of org.apache.flink.api.java.tuple.Tuple3 in project flink by apache.

the class ReduceWithCombinerITCase method testReduceOnKeyedDataset.

@Test
public void testReduceOnKeyedDataset() throws Exception {
    // set up the execution environment
    final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
    env.setParallelism(4);
    // creates the input data and distributes them evenly among the available downstream tasks
    DataSet<Tuple3<String, Integer, Boolean>> input = createKeyedInput(env);
    List<Tuple3<String, Integer, Boolean>> actual = input.groupBy(0).reduceGroup(new KeyedCombReducer()).collect();
    String expected = "k1,6,true\nk2,4,true\n";
    compareResultAsTuples(actual, expected);
}