Examples with RowTypeInfo org.apache.flink.api.java.typeutils.RowTypeInfo used on opensource projects

Example 1 with RowTypeInfo

use of org.apache.flink.api.java.typeutils.RowTypeInfo in project flink by apache.

the class HBaseRowInputFormat method getProducedType.

@Override
public TypeInformation<Row> getProducedType() {
    // split the fieldNames
    String[] famNames = schema.getFamilyNames();
    TypeInformation<?>[] typeInfos = new TypeInformation[famNames.length];
    int i = 0;
    for (String family : famNames) {
        typeInfos[i] = new RowTypeInfo(schema.getQualifierTypes(family), schema.getQualifierNames(family));
        i++;
    }
    return new RowTypeInfo(typeInfos, famNames);
}

Example 2 with RowTypeInfo

use of org.apache.flink.api.java.typeutils.RowTypeInfo in project flink by apache.

the class MaxByOperatorTest method testMaxByRowTypeInfoKeyFieldsForUnsortedGrouping.

/**
 * Validates that no ClassCastException happens should not fail e.g. like in FLINK-8255.
 */
@Test(expected = InvalidProgramException.class)
public void testMaxByRowTypeInfoKeyFieldsForUnsortedGrouping() {
    final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
    TypeInformation[] types = new TypeInformation[] { Types.INT, Types.INT };
    String[] fieldNames = new String[] { "id", "value" };
    RowTypeInfo rowTypeInfo = new RowTypeInfo(types, fieldNames);
    UnsortedGrouping groupDs = env.fromCollection(Collections.singleton(new Row(2)), rowTypeInfo).groupBy(0);
    groupDs.maxBy(1);
}

Example 3 with RowTypeInfo

use of org.apache.flink.api.java.typeutils.RowTypeInfo in project flink by apache.

the class MaxByOperatorTest method testMaxByRowTypeInfoKeyFieldsDataset.

/**
 * Validates that no ClassCastException happens should not fail e.g. like in FLINK-8255.
 */
@Test(expected = InvalidProgramException.class)
public void testMaxByRowTypeInfoKeyFieldsDataset() {
    final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
    TypeInformation[] types = new TypeInformation[] { Types.INT, Types.INT };
    String[] fieldNames = new String[] { "id", "value" };
    RowTypeInfo rowTypeInfo = new RowTypeInfo(types, fieldNames);
    DataSet tupleDs = env.fromCollection(Collections.singleton(new Row(2)), rowTypeInfo);
    tupleDs.maxBy(0);
}

Example 4 with RowTypeInfo

use of org.apache.flink.api.java.typeutils.RowTypeInfo in project flink by apache.

the class MinByOperatorTest method testMinByRowTypeInfoKeyFieldsDataset.

/**
 * Validates that no ClassCastException happens should not fail e.g. like in FLINK-8255.
 */
@Test(expected = InvalidProgramException.class)
public void testMinByRowTypeInfoKeyFieldsDataset() {
    final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
    TypeInformation[] types = new TypeInformation[] { Types.INT, Types.INT };
    String[] fieldNames = new String[] { "id", "value" };
    RowTypeInfo rowTypeInfo = new RowTypeInfo(types, fieldNames);
    DataSet tupleDs = env.fromCollection(Collections.singleton(new Row(2)), rowTypeInfo);
    tupleDs.minBy(0);
}

Example 5 with RowTypeInfo

use of org.apache.flink.api.java.typeutils.RowTypeInfo in project flink by apache.

the class PythonKeyedProcessOperator method open.

@Override
public void open() throws Exception {
    internalTimerService = getInternalTimerService("user-timers", namespaceSerializer, this);
    keyTypeInfo = new RowTypeInfo(((RowTypeInfo) this.getInputTypeInfo()).getTypeAt(0));
    keyTypeSerializer = PythonTypeUtils.TypeInfoToSerializerConverter.typeInfoSerializerConverter(keyTypeInfo);
    timerDataTypeInfo = createTimerDataTypeInfo(keyTypeInfo);
    timerDataSerializer = PythonTypeUtils.TypeInfoToSerializerConverter.typeInfoSerializerConverter(timerDataTypeInfo);
    timerHandler = new TimerHandler();
    super.open();
}