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* 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
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* Unless required by applicable law or agreed to in writing, software
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package org.apache.beam.examples.cookbook;
import com.google.api.services.bigquery.model.TableRow;
import org.apache.beam.examples.cookbook.BigQueryTornadoes.ExtractTornadoesFn;
import org.apache.beam.examples.cookbook.BigQueryTornadoes.FormatCountsFn;
import org.apache.beam.sdk.testing.PAssert;
import org.apache.beam.sdk.testing.TestPipeline;
import org.apache.beam.sdk.testing.ValidatesRunner;
import org.apache.beam.sdk.transforms.Create;
import org.apache.beam.sdk.transforms.ParDo;
import org.apache.beam.sdk.values.KV;
import org.apache.beam.sdk.values.PCollection;
import org.apache.beam.sdk.values.TypeDescriptor;
import org.apache.beam.vendor.guava.v26_0_jre.com.google.common.collect.ImmutableList;
import org.junit.Rule;
import org.junit.Test;
import org.junit.experimental.categories.Category;
import org.junit.runner.RunWith;
import org.junit.runners.JUnit4;
/** Test case for {@link BigQueryTornadoes}. */
@RunWith(JUnit4.class)
public class BigQueryTornadoesTest {
@Rule public TestPipeline p = TestPipeline.create();
@Test
@Category(ValidatesRunner.class)
public void testExtractTornadoes() {
TableRow row = new TableRow().set("month", "6").set("tornado", true);
PCollection<TableRow> input = p.apply(Create.of(ImmutableList.of(row)));
PCollection<Integer> result = input.apply(ParDo.of(new ExtractTornadoesFn()));
PAssert.that(result).containsInAnyOrder(6);
p.run().waitUntilFinish();
}
@Test
@Category(ValidatesRunner.class)
public void testNoTornadoes() {
TableRow row = new TableRow().set("month", 6).set("tornado", false);
PCollection<TableRow> inputs = p.apply(Create.of(ImmutableList.of(row)));
PCollection<Integer> result = inputs.apply(ParDo.of(new ExtractTornadoesFn()));
PAssert.that(result).empty();
p.run().waitUntilFinish();
}
@Test
@Category(ValidatesRunner.class)
public void testEmpty() {
PCollection<KV<Integer, Long>> inputs =
p.apply(Create.empty(new TypeDescriptor<KV<Integer, Long>>() {}));
PCollection<TableRow> result = inputs.apply(ParDo.of(new FormatCountsFn()));
PAssert.that(result).empty();
p.run().waitUntilFinish();
}
@Test
@Category(ValidatesRunner.class)
public void testFormatCounts() {
PCollection<KV<Integer, Long>> inputs =
p.apply(Create.of(KV.of(3, 0L), KV.of(4, Long.MAX_VALUE), KV.of(5, Long.MIN_VALUE)));
PCollection<TableRow> result = inputs.apply(ParDo.of(new FormatCountsFn()));
PAssert.that(result)
.containsInAnyOrder(
new TableRow().set("month", 3).set("tornado_count", 0),
new TableRow().set("month", 4).set("tornado_count", Long.MAX_VALUE),
new TableRow().set("month", 5).set("tornado_count", Long.MIN_VALUE));
p.run().waitUntilFinish();
}
}