runners/spark/3/src/main/java/org/apache/beam/runners/spark/structuredstreaming/translation/batch/WindowAssignTranslatorBatch.java

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 * to you under the Apache License, Version 2.0 (the
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 *     http://www.apache.org/licenses/LICENSE-2.0
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package org.apache.beam.runners.spark.structuredstreaming.translation.batch;

import org.apache.beam.runners.spark.structuredstreaming.translation.AbstractTranslationContext;
import org.apache.beam.runners.spark.structuredstreaming.translation.TransformTranslator;
import org.apache.beam.runners.spark.structuredstreaming.translation.helpers.EncoderHelpers;
import org.apache.beam.runners.spark.structuredstreaming.translation.helpers.WindowingHelpers;
import org.apache.beam.sdk.transforms.PTransform;
import org.apache.beam.sdk.transforms.windowing.Window;
import org.apache.beam.sdk.transforms.windowing.WindowFn;
import org.apache.beam.sdk.util.WindowedValue;
import org.apache.beam.sdk.values.PCollection;
import org.apache.spark.sql.Dataset;

@SuppressWarnings({
  "nullness" // TODO(https://github.com/apache/beam/issues/20497)
})
class WindowAssignTranslatorBatch<T>
    implements TransformTranslator<PTransform<PCollection<T>, PCollection<T>>> {

  @Override
  public void translateTransform(
      PTransform<PCollection<T>, PCollection<T>> transform, AbstractTranslationContext context) {

    Window.Assign<T> assignTransform = (Window.Assign<T>) transform;
    @SuppressWarnings("unchecked")
    final PCollection<T> input = (PCollection<T>) context.getInput();
    @SuppressWarnings("unchecked")
    final PCollection<T> output = (PCollection<T>) context.getOutput();

    Dataset<WindowedValue<T>> inputDataset = context.getDataset(input);
    if (WindowingHelpers.skipAssignWindows(assignTransform, context)) {
      context.putDataset(output, inputDataset);
    } else {
      WindowFn<T, ?> windowFn = assignTransform.getWindowFn();
      WindowedValue.FullWindowedValueCoder<T> windowedValueCoder =
          WindowedValue.FullWindowedValueCoder.of(input.getCoder(), windowFn.windowCoder());
      Dataset<WindowedValue<T>> outputDataset =
          inputDataset.map(
              WindowingHelpers.assignWindowsMapFunction(windowFn),
              EncoderHelpers.fromBeamCoder(windowedValueCoder));
      context.putDataset(output, outputDataset);
    }
  }
}