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 testProjectionTypes() {
    
    final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
    DataSet<Tuple5<Integer, Long, String, Long, Integer>> tupleDs = env.fromCollection(emptyTupleData, tupleTypeInfo);


    // should work
    try {
      tupleDs.project(0).types(Integer.class);
    } catch(Exception e) {

View Full Code Here

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

  
  @Test  
  public void testGroupByKeyFields1() {
    
    final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
    DataSet<Tuple5<Integer, Long, String, Long, Integer>> tupleDs = env.fromCollection(emptyTupleData, tupleTypeInfo);


    // should work
    try {
      tupleDs.groupBy(0);
    } catch(Exception e) {

View Full Code Here

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

  @Test(expected = InvalidProgramException.class)  
  public void testGroupByKeyFields2() {
    
    final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();


    DataSet<Long> longDs = env.fromCollection(emptyLongData, BasicTypeInfo.LONG_TYPE_INFO);
    // should not work: groups on basic type
    longDs.groupBy(0);
  }
  
  @Test(expected = InvalidProgramException.class)

View Full Code Here

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

    
    final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
    
    this.customTypeData.add(new CustomType());
    
    DataSet<CustomType> customDs = env.fromCollection(customTypeData);
    // should not work: groups on custom type
    customDs.groupBy(0);
    
  }

View Full Code Here

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

  
  @Test(expected = IllegalArgumentException.class)
  public void testGroupByKeyFields4() {
    
    final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
    DataSet<Tuple5<Integer, Long, String, Long, Integer>> tupleDs = env.fromCollection(emptyTupleData, tupleTypeInfo);


    // should not work, key out of tuple bounds
    tupleDs.groupBy(5);
  }

View Full Code Here

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

  
  @Test(expected = IllegalArgumentException.class)
  public void testGroupByKeyFields5() {
    
    final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
    DataSet<Tuple5<Integer, Long, String, Long, Integer>> tupleDs = env.fromCollection(emptyTupleData, tupleTypeInfo);


    // should not work, negative field position
    tupleDs.groupBy(-1);
  }

View Full Code Here

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


    final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();


    this.customTypeData.add(new CustomType());


    DataSet<CustomType> ds = env.fromCollection(customTypeData);


    // should work
    try {
      ds.groupBy("myInt");
    } catch(Exception e) {

View Full Code Here

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

  @Test(expected = IllegalArgumentException.class)
  public void testGroupByKeyExpressions2() {


    final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();


    DataSet<Long> longDs = env.fromCollection(emptyLongData, BasicTypeInfo.LONG_TYPE_INFO);
    // should not work: groups on basic type
    longDs.groupBy("myInt");
  }


  @Test(expected = InvalidProgramException.class)

View Full Code Here

Examples of org.apache.flink.streaming.api.environment.LocalStreamEnvironment.fromCollection()

    crossExpectedResults.add(new Tuple2<Tuple2<Integer, String>, Integer>(
        new Tuple2<Integer, String>(0, "y"), 5));
    crossExpectedResults.add(new Tuple2<Tuple2<Integer, String>, Integer>(
        new Tuple2<Integer, String>(0, "y"), 20));


    DataStream<Tuple2<Integer, String>> inStream1 = env.fromCollection(in1);
    DataStream<Integer> inStream2 = env.fromCollection(in2);


    inStream1.windowJoin(inStream2, 1000, 1000, new MyTimestamp1(), new MyTimestamp2(), 0, 0)
        .addSink(new JoinResultSink());

View Full Code Here

Examples of org.apache.flink.streaming.api.environment.LocalStreamEnvironment.fromCollection()

        new Tuple2<Integer, String>(0, "y"), 5));
    crossExpectedResults.add(new Tuple2<Tuple2<Integer, String>, Integer>(
        new Tuple2<Integer, String>(0, "y"), 20));


    DataStream<Tuple2<Integer, String>> inStream1 = env.fromCollection(in1);
    DataStream<Integer> inStream2 = env.fromCollection(in2);


    inStream1.windowJoin(inStream2, 1000, 1000, new MyTimestamp1(), new MyTimestamp2(), 0, 0)
        .addSink(new JoinResultSink());


    inStream1.windowCross(inStream2, 1000, 1000, new MyTimestamp1(), new MyTimestamp2())

View Full Code Here

0 1 2 3 4 5

TOP

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.