Examples with Transformation org.apache.flink.api.dag.Transformation used on opensource projects

Example 96 with Transformation

use of org.apache.flink.api.dag.Transformation in project flink by apache.

the class StreamExecSink method translateToPlanInternal.

@SuppressWarnings("unchecked")
@Override
protected Transformation<Object> translateToPlanInternal(PlannerBase planner, ExecNodeConfig config) {
    final ExecEdge inputEdge = getInputEdges().get(0);
    final Transformation<RowData> inputTransform = (Transformation<RowData>) inputEdge.translateToPlan(planner);
    final RowType inputRowType = (RowType) inputEdge.getOutputType();
    final DynamicTableSink tableSink = tableSinkSpec.getTableSink(planner.getFlinkContext());
    final boolean isCollectSink = tableSink instanceof CollectDynamicSink;
    final List<Integer> rowtimeFieldIndices = new ArrayList<>();
    for (int i = 0; i < inputRowType.getFieldCount(); ++i) {
        if (TypeCheckUtils.isRowTime(inputRowType.getTypeAt(i))) {
            rowtimeFieldIndices.add(i);
        }
    }
    final int rowtimeFieldIndex;
    if (rowtimeFieldIndices.size() > 1 && !isCollectSink) {
        throw new TableException(String.format("The query contains more than one rowtime attribute column [%s] for writing into table '%s'.\n" + "Please select the column that should be used as the event-time timestamp " + "for the table sink by casting all other columns to regular TIMESTAMP or TIMESTAMP_LTZ.", rowtimeFieldIndices.stream().map(i -> inputRowType.getFieldNames().get(i)).collect(Collectors.joining(", ")), tableSinkSpec.getContextResolvedTable().getIdentifier().asSummaryString()));
    } else if (rowtimeFieldIndices.size() == 1) {
        rowtimeFieldIndex = rowtimeFieldIndices.get(0);
    } else {
        rowtimeFieldIndex = -1;
    }
    return createSinkTransformation(planner.getExecEnv(), config, inputTransform, tableSink, rowtimeFieldIndex, upsertMaterialize);
}

Example 97 with Transformation

use of org.apache.flink.api.dag.Transformation in project flink by apache.

the class StreamExecTemporalJoin method translateToPlanInternal.

@Override
@SuppressWarnings("unchecked")
protected Transformation<RowData> translateToPlanInternal(PlannerBase planner, ExecNodeConfig config) {
    ExecEdge leftInputEdge = getInputEdges().get(0);
    ExecEdge rightInputEdge = getInputEdges().get(1);
    RowType leftInputType = (RowType) leftInputEdge.getOutputType();
    RowType rightInputType = (RowType) rightInputEdge.getOutputType();
    JoinUtil.validateJoinSpec(joinSpec, leftInputType, rightInputType, true);
    FlinkJoinType joinType = joinSpec.getJoinType();
    if (isTemporalFunctionJoin) {
        if (joinType != FlinkJoinType.INNER) {
            throw new ValidationException("Temporal table function join currently only support INNER JOIN, " + "but was " + joinType + " JOIN.");
        }
    } else {
        if (joinType != FlinkJoinType.LEFT && joinType != FlinkJoinType.INNER) {
            throw new TableException("Temporal table join currently only support INNER JOIN and LEFT JOIN, " + "but was " + joinType + " JOIN.");
        }
    }
    RowType returnType = (RowType) getOutputType();
    TwoInputStreamOperator<RowData, RowData, RowData> joinOperator = getJoinOperator(config, leftInputType, rightInputType);
    Transformation<RowData> leftTransform = (Transformation<RowData>) leftInputEdge.translateToPlan(planner);
    Transformation<RowData> rightTransform = (Transformation<RowData>) rightInputEdge.translateToPlan(planner);
    TwoInputTransformation<RowData, RowData, RowData> ret = ExecNodeUtil.createTwoInputTransformation(leftTransform, rightTransform, createTransformationMeta(TEMPORAL_JOIN_TRANSFORMATION, config), joinOperator, InternalTypeInfo.of(returnType), leftTransform.getParallelism());
    // set KeyType and Selector for state
    RowDataKeySelector leftKeySelector = getLeftKeySelector(leftInputType);
    RowDataKeySelector rightKeySelector = getRightKeySelector(rightInputType);
    ret.setStateKeySelectors(leftKeySelector, rightKeySelector);
    ret.setStateKeyType(leftKeySelector.getProducedType());
    return ret;
}

Example 98 with Transformation

use of org.apache.flink.api.dag.Transformation in project flink by apache.

the class DefaultExecutorTest method testJobName.

@Test
public void testJobName() {
    final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    final Executor executor = new DefaultExecutor(env);
    final List<Transformation<?>> dummyTransformations = Collections.singletonList(env.fromElements(1, 2, 3).addSink(new DiscardingSink<>()).getTransformation());
    final Configuration configuration = new Configuration();
    configuration.set(PipelineOptions.NAME, "Custom Name");
    // default
    testJobName(executor.createPipeline(dummyTransformations, new Configuration(), "Default Name"), "Default Name");
    // Table API specific
    testJobName(executor.createPipeline(dummyTransformations, configuration, "Default Name"), "Custom Name");
    // DataStream API specific
    env.configure(configuration);
    testJobName(executor.createPipeline(dummyTransformations, new Configuration(), "Default Name"), "Custom Name");
}