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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
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* See the License for the specific language governing permissions and
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package org.apache.beam.runners.spark.structuredstreaming.translation.batch;
import java.util.Collections;
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.sdk.coders.ByteArrayCoder;
import org.apache.beam.sdk.coders.Coder;
import org.apache.beam.sdk.transforms.PTransform;
import org.apache.beam.sdk.transforms.windowing.GlobalWindow;
import org.apache.beam.sdk.util.WindowedValue;
import org.apache.beam.sdk.values.PBegin;
import org.apache.beam.sdk.values.PCollection;
import org.apache.spark.sql.Dataset;
public class ImpulseTranslatorBatch
implements TransformTranslator<PTransform<PBegin, PCollection<byte[]>>> {
@Override
public void translateTransform(
PTransform<PBegin, PCollection<byte[]>> transform, AbstractTranslationContext context) {
Coder<WindowedValue<byte[]>> windowedValueCoder =
WindowedValue.FullWindowedValueCoder.of(ByteArrayCoder.of(), GlobalWindow.Coder.INSTANCE);
Dataset<WindowedValue<byte[]>> dataset =
context
.getSparkSession()
.createDataset(
Collections.singletonList(WindowedValue.valueInGlobalWindow(new byte[0])),
EncoderHelpers.fromBeamCoder(windowedValueCoder));
context.putDataset(context.getOutput(), dataset);
}
}