List of fromCollection() Examples

Examples of fromCollection()

eu.stratosphere.api.java.ExecutionEnvironment.fromCollection()
Creates a DataSet from the given non-empty collection. The type of the data set is that of the elements in the collection. The elements need to be serializable (as defined by {@link java.io.Serializable}), because the framework may move the elements into the cluster if needed.
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 collection of elements to create the data set from. @return A DataSet representing the given collection. @see #fromCollection(Collection,TypeInformation)
org.apache.flink.api.java.ExecutionEnvironment.fromCollection()
Creates a DataSet from the given non-empty collection. The type of the data set is that of the elements in the collection. The elements need to be serializable (as defined by {@link java.io.Serializable}), because the framework may move the elements into the cluster if needed.
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 collection of elements to create the data set from. @return A DataSet representing the given collection. @see #fromCollection(Collection,TypeInformation)
org.apache.flink.streaming.api.environment.LocalStreamEnvironment.fromCollection()
org.apache.flink.streaming.api.environment.StreamExecutionEnvironment.fromCollection()
Creates a DataStream from the given non-empty collection. The type of the DataStream is that of the elements in the collection. The elements need to be serializable (as defined by java.io.Serializable), because the framework may move the elements into the cluster if needed. @param data The collection of elements to create the DataStream from. @param < OUT> type of the returned stream @return The DataStream representing the elements.

Examples of org.apache.flink.api.java.ExecutionEnvironment.fromCollection()

  
  @Test
  public void testAggregationTypes() {
    try {
      final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
      DataSet<Tuple5<Integer, Long, String, Long, Integer>> tupleDs = env.fromCollection(emptyTupleData, tupleTypeInfo);
      
      // should work: multiple aggregates
      tupleDs.aggregate(Aggregations.SUM, 0).and(Aggregations.MIN, 4);


      // should work: nested aggregates

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Examples of org.apache.flink.api.java.ExecutionEnvironment.fromCollection()

  @Test(expected = IllegalArgumentException.class)
  public void testCoGroupKeyFields6() {
    
    final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
    DataSet<Tuple5<Integer, Long, String, Long, Integer>> ds1 = env.fromCollection(emptyTupleData, tupleTypeInfo);
    DataSet<CustomType> ds2 = env.fromCollection(customTypeData);


    // should not work, cogroup key fields on custom type
    ds1.coGroup(ds2).where(5).equalTo(0);
  }

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Examples of org.apache.flink.api.java.ExecutionEnvironment.fromCollection()


  @Test
  public void testCoGroupKeyExpressions1() {


    final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
    DataSet<CustomType> ds1 = env.fromCollection(customTypeData);
    DataSet<CustomType> ds2 = env.fromCollection(customTypeData);


    // should work
    try {
      ds1.coGroup(ds2).where("myInt").equalTo("myInt");

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Examples of org.apache.flink.api.java.ExecutionEnvironment.fromCollection()

  @Test
  public void testCoGroupKeyExpressions1() {


    final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
    DataSet<CustomType> ds1 = env.fromCollection(customTypeData);
    DataSet<CustomType> ds2 = env.fromCollection(customTypeData);


    // should work
    try {
      ds1.coGroup(ds2).where("myInt").equalTo("myInt");
    } catch(Exception e) {

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Examples of org.apache.flink.api.java.ExecutionEnvironment.fromCollection()


  @Test(expected = InvalidProgramException.class)
  public void testCoGroupKeyExpressions2() {


    final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
    DataSet<CustomType> ds1 = env.fromCollection(customTypeData);
    DataSet<CustomType> ds2 = env.fromCollection(customTypeData);


    // should not work, incompatible cogroup key types
    ds1.coGroup(ds2).where("myInt").equalTo("myString");
  }

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Examples of org.apache.flink.api.java.ExecutionEnvironment.fromCollection()

  @Test(expected = InvalidProgramException.class)
  public void testCoGroupKeyExpressions2() {


    final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
    DataSet<CustomType> ds1 = env.fromCollection(customTypeData);
    DataSet<CustomType> ds2 = env.fromCollection(customTypeData);


    // should not work, incompatible cogroup key types
    ds1.coGroup(ds2).where("myInt").equalTo("myString");
  }

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Examples of org.apache.flink.api.java.ExecutionEnvironment.fromCollection()


  @Test(expected = InvalidProgramException.class)
  public void testCoGroupKeyExpressions3() {


    final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
    DataSet<CustomType> ds1 = env.fromCollection(customTypeData);
    DataSet<CustomType> ds2 = env.fromCollection(customTypeData);


    // should not work, incompatible number of cogroup keys
    ds1.coGroup(ds2).where("myInt", "myString").equalTo("myString");
  }

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Examples of org.apache.flink.api.java.ExecutionEnvironment.fromCollection()

  @Test(expected = InvalidProgramException.class)
  public void testCoGroupKeyExpressions3() {


    final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
    DataSet<CustomType> ds1 = env.fromCollection(customTypeData);
    DataSet<CustomType> ds2 = env.fromCollection(customTypeData);


    // should not work, incompatible number of cogroup keys
    ds1.coGroup(ds2).where("myInt", "myString").equalTo("myString");
  }

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Examples of org.apache.flink.api.java.ExecutionEnvironment.fromCollection()


  @Test(expected = IllegalArgumentException.class)
  public void testCoGroupKeyExpressions4() {


    final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
    DataSet<CustomType> ds1 = env.fromCollection(customTypeData);
    DataSet<CustomType> ds2 = env.fromCollection(customTypeData);


    // should not work, cogroup key non-existent
    ds1.coGroup(ds2).where("myNonExistent").equalTo("myInt");
  }

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Examples of org.apache.flink.api.java.ExecutionEnvironment.fromCollection()

  @Test(expected = IllegalArgumentException.class)
  public void testCoGroupKeyExpressions4() {


    final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
    DataSet<CustomType> ds1 = env.fromCollection(customTypeData);
    DataSet<CustomType> ds2 = env.fromCollection(customTypeData);


    // should not work, cogroup key non-existent
    ds1.coGroup(ds2).where("myNonExistent").equalTo("myInt");
  }

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