org.apache.flink.table.planner.plan.nodes.exec.stream.StreamExecWindowTableFunction Maven / Gradle / Ivy
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* to you under the Apache License, Version 2.0 (the
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package org.apache.flink.table.planner.plan.nodes.exec.stream;
import org.apache.flink.api.dag.Transformation;
import org.apache.flink.table.data.RowData;
import org.apache.flink.table.planner.delegation.PlannerBase;
import org.apache.flink.table.planner.plan.logical.WindowingStrategy;
import org.apache.flink.table.planner.plan.nodes.exec.ExecEdge;
import org.apache.flink.table.planner.plan.nodes.exec.ExecNode;
import org.apache.flink.table.planner.plan.nodes.exec.ExecNodeBase;
import org.apache.flink.table.planner.plan.nodes.exec.InputProperty;
import org.apache.flink.table.types.logical.RowType;
import java.util.Collections;
/**
* Stream {@link ExecNode} which acts as a table-valued function to assign a window for each row of
* the input relation. The return value of the new relation includes all the original columns as
* well additional 3 columns named {@code window_start}, {@code window_end}, {@code window_time} to
* indicate the assigned window.
*/
public class StreamExecWindowTableFunction extends ExecNodeBase
implements StreamExecNode {
private final WindowingStrategy windowingStrategy;
public StreamExecWindowTableFunction(
WindowingStrategy windowingStrategy,
InputProperty inputEdge,
RowType outputType,
String description) {
super(Collections.singletonList(inputEdge), outputType, description);
this.windowingStrategy = windowingStrategy;
}
@Override
protected Transformation translateToPlanInternal(PlannerBase planner) {
final ExecEdge inputEdge = getInputEdges().get(0);
final RowType inputRowType = (RowType) inputEdge.getOutputType();
String[] inputFieldNames = inputRowType.getFieldNames().toArray(new String[0]);
String windowSummary = windowingStrategy.toSummaryString(inputFieldNames);
throw new UnsupportedOperationException(
String.format(
"Currently Flink doesn't support individual window table-valued function %s.\n "
+ "Please use window table-valued function with aggregate together using window_start and window_end as group keys.",
windowSummary));
}
}