blob: 3151a5fe956f053aaa8c2ac6dd5a3d7ea2a991f6 [file] [log] [blame]
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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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package org.apache.beam.runners.spark.structuredstreaming.translation.helpers;
import static org.junit.Assert.assertEquals;
import java.util.Arrays;
import java.util.List;
import org.apache.beam.runners.spark.structuredstreaming.SparkSessionRule;
import org.apache.beam.sdk.coders.VarIntCoder;
import org.apache.spark.sql.Dataset;
import org.junit.ClassRule;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.junit.runners.JUnit4;
/** Test of the wrapping of Beam Coders as Spark ExpressionEncoders. */
@RunWith(JUnit4.class)
public class EncoderHelpersTest {
@ClassRule public static SparkSessionRule sessionRule = new SparkSessionRule();
@Test
public void beamCoderToSparkEncoderTest() {
List<Integer> data = Arrays.asList(1, 2, 3);
Dataset<Integer> dataset =
sessionRule
.getSession()
.createDataset(data, EncoderHelpers.fromBeamCoder(VarIntCoder.of()));
assertEquals(data, dataset.collectAsList());
}
}