Examples of eu.stratosphere.api.java.ExecutionEnvironment.fromElements()

Class eu.stratosphere.api.java.ExecutionEnvironment

Examples of eu.stratosphere.api.java.ExecutionEnvironment.fromElements()

eu.stratosphere.api.java.ExecutionEnvironment.fromElements()
Creates a new data set that contains the given elements. The elements must all be of the same type, for example, all of the {@link String} or {@link Integer}. The sequence of elements must not be empty. Furthermore, the elements must be serializable (as defined in {@link java.io.Serializable}, because the execution environment may ship the elements into the cluster.
The framework will try and determine the exact type from the collection elements. In case of generic elements, it may be necessary to manually supply the type information via {@link #fromCollection(Collection,TypeInformation)}.
Note that this operation will result in a non-parallel data source, i.e. a data source with a degree of parallelism of one. @param data The elements to make up the data set. @return A DataSet representing the given list of elements.

    
    // set up the execution environment
    final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
    
    // get input data
    DataSet<String> text = env.fromElements(
        "To be, or not to be,--that is the question:--",
        "Whether 'tis nobler in the mind to suffer",
        "The slings and arrows of outrageous fortune",
        "Or to take arms against a sea of troubles,"
        );

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  @Override
  protected void testProgram() throws Exception {
    ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
    
    DataSet<Long> vertexIds = env.generateSequence(1, NUM_VERTICES);
    DataSet<String> edgeString = env.fromElements(ConnectedComponentsData.getRandomOddEvenEdges(NUM_EDGES, NUM_VERTICES, SEED).split("\n"));
    
    DataSet<Tuple2<Long, Long>> edges = edgeString.map(new EdgeParser());
    
    DataSet<Tuple2<Long, Long>> initialVertices = vertexIds.map(new IdAssigner());
    DataSet<Tuple2<Long, Long>> result = initialVertices.runOperation(VertexCentricIteration.withPlainEdges(edges, new CCUpdater(), new CCMessager(), 100));

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  protected void testProgram() throws Exception {
    
    ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
    env.setDegreeOfParallelism(1);
    
    DataSet<Integer> data = env.fromElements(1, 2, 3, 4, 5, 6, 7, 8);
    
    IterativeDataSet<Integer> iteration = data.iterate(10);
    
    DataSet<Integer> result = data.reduceGroup(new PickOneAllReduce()).withBroadcastSet(iteration, "bc");

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    try {
      
      ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
      
      @SuppressWarnings("unchecked")
      DataSet<Tuple2<Long, Double>> inputData = env.fromElements(new Tuple2<Long, Double>(1L, 1.0));
      DataSet<Tuple2<Long, Double>> result = constructPlan(inputData, 10);
      
      // add two sinks, to test the case of branching after an iteration
      result.print();
      result.print();

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  public void testAllReduceNoCombiner() {
    try {
      ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
      env.setDegreeOfParallelism(8);
      
      DataSet<Double> data = env.fromElements(0.2, 0.3, 0.4, 0.5).name("source");
      
      data.reduce(new ReduceFunction<Double>() {
        
        @Override
        public Double reduce(Double value1, Double value2){

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      // ------------ construct the test program ------------------
      {
        env.setDegreeOfParallelism(DEFAULT_DOP);
        
        @SuppressWarnings("unchecked")
        DataSet<Tuple3<Double, Long, String>> initialSolutionSet = env.fromElements(new Tuple3<Double, Long, String>(3.44, 5L, "abc"));
  
        @SuppressWarnings("unchecked")
        DataSet<Tuple2<Double, String>> initialWorkSet = env.fromElements(new Tuple2<Double, String>(1.23, "abc"));
        
        DeltaIteration<Tuple3<Double, Long, String>, Tuple2<Double, String>> iteration = initialSolutionSet.iterateDelta(initialWorkSet, NUM_ITERATIONS, ITERATION_KEYS);

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        @SuppressWarnings("unchecked")
        DataSet<Tuple3<Double, Long, String>> initialSolutionSet = env.fromElements(new Tuple3<Double, Long, String>(3.44, 5L, "abc"));
  
        @SuppressWarnings("unchecked")
        DataSet<Tuple2<Double, String>> initialWorkSet = env.fromElements(new Tuple2<Double, String>(1.23, "abc"));
        
        DeltaIteration<Tuple3<Double, Long, String>, Tuple2<Double, String>> iteration = initialSolutionSet.iterateDelta(initialWorkSet, NUM_ITERATIONS, ITERATION_KEYS);
        iteration.name(ITERATION_NAME).parallelism(ITERATION_DOP);
        
        iteration.registerAggregator(AGGREGATOR_NAME, LongSumAggregator.class);

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  public void testRejectWhenSolutionSetKeysDontMatch() {
    try {
      ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
      
      @SuppressWarnings("unchecked")
      DataSet<Tuple3<Double, Long, String>> initialSolutionSet = env.fromElements(new Tuple3<Double, Long, String>(3.44, 5L, "abc"));


      @SuppressWarnings("unchecked")
      DataSet<Tuple2<Double, String>> initialWorkSet = env.fromElements(new Tuple2<Double, String>(1.23, "abc"));
      
      DeltaIteration<Tuple3<Double, Long, String>, Tuple2<Double, String>> iteration = initialSolutionSet.iterateDelta(initialWorkSet, 10, 1);

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      @SuppressWarnings("unchecked")
      DataSet<Tuple3<Double, Long, String>> initialSolutionSet = env.fromElements(new Tuple3<Double, Long, String>(3.44, 5L, "abc"));


      @SuppressWarnings("unchecked")
      DataSet<Tuple2<Double, String>> initialWorkSet = env.fromElements(new Tuple2<Double, String>(1.23, "abc"));
      
      DeltaIteration<Tuple3<Double, Long, String>, Tuple2<Double, String>> iteration = initialSolutionSet.iterateDelta(initialWorkSet, 10, 1);
      
      try {
        iteration.getWorkset().join(iteration.getSolutionSet()).where(1).equalTo(2);

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  public void translateUnaryFunctionAnnotationTuplesWildCard() {
    try {
      ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
      
      @SuppressWarnings("unchecked")
      DataSet<Tuple3<Long, String, Integer>> input = env.fromElements(new Tuple3<Long, String, Integer>(3l, "test", 42));
      input.map(new WildcardConstantMapper<Tuple3<Long,String,Integer>>()).print();
      
      Plan plan = env.createProgramPlan();
      
      GenericDataSinkBase<?> sink = plan.getDataSinks().iterator().next();

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