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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,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.beam.sdk.transforms;
import static org.hamcrest.Matchers.contains;
import static org.hamcrest.Matchers.hasItem;
import static org.hamcrest.Matchers.not;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertThat;
import static org.junit.Assert.assertTrue;
import java.util.Arrays;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Set;
import org.apache.beam.sdk.coders.KvCoder;
import org.apache.beam.sdk.coders.StringUtf8Coder;
import org.apache.beam.sdk.coders.VarIntCoder;
import org.apache.beam.sdk.testing.NeedsRunner;
import org.apache.beam.sdk.testing.PAssert;
import org.apache.beam.sdk.testing.TestPipeline;
import org.apache.beam.sdk.testing.TestStream;
import org.apache.beam.sdk.testing.UsesTestStream;
import org.apache.beam.sdk.testing.UsesTestStreamWithProcessingTime;
import org.apache.beam.sdk.transforms.windowing.AfterProcessingTime;
import org.apache.beam.sdk.transforms.windowing.AfterWatermark;
import org.apache.beam.sdk.transforms.windowing.FixedWindows;
import org.apache.beam.sdk.transforms.windowing.IntervalWindow;
import org.apache.beam.sdk.transforms.windowing.Repeatedly;
import org.apache.beam.sdk.transforms.windowing.Window;
import org.apache.beam.sdk.values.KV;
import org.apache.beam.sdk.values.PCollection;
import org.apache.beam.sdk.values.TimestampedValue;
import org.apache.beam.sdk.values.TypeDescriptor;
import org.apache.beam.vendor.guava.v20_0.com.google.common.collect.HashMultimap;
import org.apache.beam.vendor.guava.v20_0.com.google.common.collect.Multimap;
import org.joda.time.Duration;
import org.joda.time.Instant;
import org.junit.Rule;
import org.junit.Test;
import org.junit.experimental.categories.Category;
import org.junit.rules.ExpectedException;
import org.junit.runner.RunWith;
import org.junit.runners.JUnit4;
/** Tests for {@link Distinct}. */
@RunWith(JUnit4.class)
public class DistinctTest {
@Rule public final TestPipeline p = TestPipeline.create();
@Rule public ExpectedException thrown = ExpectedException.none();
@Test
@Category(NeedsRunner.class)
public void testDistinct() {
List<String> strings = Arrays.asList("k1", "k5", "k5", "k2", "k1", "k2", "k3");
PCollection<String> input = p.apply(Create.of(strings).withCoder(StringUtf8Coder.of()));
PCollection<String> output = input.apply(Distinct.create());
PAssert.that(output).containsInAnyOrder("k1", "k5", "k2", "k3");
p.run();
}
@Test
@Category(NeedsRunner.class)
public void testDistinctEmpty() {
List<String> strings = Arrays.asList();
PCollection<String> input = p.apply(Create.of(strings).withCoder(StringUtf8Coder.of()));
PCollection<String> output = input.apply(Distinct.create());
PAssert.that(output).empty();
p.run();
}
private static class Keys<T> implements SerializableFunction<KV<T, String>, T> {
@Override
public T apply(KV<T, String> input) {
return input.getKey();
}
}
private static class Checker implements SerializableFunction<Iterable<KV<String, String>>, Void> {
@Override
public Void apply(Iterable<KV<String, String>> input) {
Map<String, String> values = new HashMap<>();
for (KV<String, String> kv : input) {
values.put(kv.getKey(), kv.getValue());
}
assertEquals(2, values.size());
assertTrue("v1".equals(values.get("k1")) || "v2".equals(values.get("k1")));
assertEquals("v1", values.get("k2"));
return null;
}
}
@Test
@Category(NeedsRunner.class)
public void testDistinctWithRepresentativeValue() {
List<KV<String, String>> strings =
Arrays.asList(KV.of("k1", "v1"), KV.of("k1", "v2"), KV.of("k2", "v1"));
PCollection<KV<String, String>> input = p.apply(Create.of(strings));
PCollection<KV<String, String>> output =
input.apply(
Distinct.withRepresentativeValueFn(new Keys<String>())
.withRepresentativeType(TypeDescriptor.of(String.class)));
PAssert.that(output).satisfies(new Checker());
p.run();
}
@Rule public TestPipeline windowedDistinctPipeline = TestPipeline.create();
@Test
@Category({NeedsRunner.class, UsesTestStream.class})
public void testWindowedDistinct() {
Instant base = new Instant(0);
TestStream<String> values =
TestStream.create(StringUtf8Coder.of())
.advanceWatermarkTo(base)
.addElements(
TimestampedValue.of("k1", base),
TimestampedValue.of("k2", base.plus(Duration.standardSeconds(10))),
TimestampedValue.of("k3", base.plus(Duration.standardSeconds(20))),
TimestampedValue.of("k1", base.plus(Duration.standardSeconds(30))),
TimestampedValue.of("k2", base.plus(Duration.standardSeconds(40))),
TimestampedValue.of("k3", base.plus(Duration.standardSeconds(50))),
TimestampedValue.of("k4", base.plus(Duration.standardSeconds(60))),
TimestampedValue.of("k5", base.plus(Duration.standardSeconds(70))),
TimestampedValue.of("k6", base.plus(Duration.standardSeconds(80))))
.advanceWatermarkToInfinity();
PCollection<String> distinctValues =
windowedDistinctPipeline
.apply(values)
.apply(Window.into(FixedWindows.of(Duration.standardSeconds(30))))
.apply(Distinct.create());
PAssert.that(distinctValues)
.inWindow(new IntervalWindow(base, base.plus(Duration.standardSeconds(30))))
.containsInAnyOrder("k1", "k2", "k3");
PAssert.that(distinctValues)
.inWindow(
new IntervalWindow(
base.plus(Duration.standardSeconds(30)), base.plus(Duration.standardSeconds(60))))
.containsInAnyOrder("k1", "k2", "k3");
PAssert.that(distinctValues)
.inWindow(
new IntervalWindow(
base.plus(Duration.standardSeconds(60)), base.plus(Duration.standardSeconds(90))))
.containsInAnyOrder("k4", "k5", "k6");
windowedDistinctPipeline.run();
}
@Rule public TestPipeline triggeredDistinctPipeline = TestPipeline.create();
@Test
@Category({NeedsRunner.class, UsesTestStreamWithProcessingTime.class})
public void testTriggeredDistinct() {
Instant base = new Instant(0);
TestStream<String> values =
TestStream.create(StringUtf8Coder.of())
.advanceWatermarkTo(base)
.addElements(
TimestampedValue.of("k1", base),
TimestampedValue.of("k2", base.plus(Duration.standardSeconds(10))),
TimestampedValue.of("k3", base.plus(Duration.standardSeconds(20))))
.advanceProcessingTime(Duration.standardMinutes(1))
.addElements(
TimestampedValue.of("k1", base.plus(Duration.standardSeconds(30))),
TimestampedValue.of("k2", base.plus(Duration.standardSeconds(40))),
TimestampedValue.of("k3", base.plus(Duration.standardSeconds(50))))
.advanceWatermarkToInfinity();
PCollection<String> distinctValues =
triggeredDistinctPipeline
.apply(values)
.apply(
Window.<String>into(FixedWindows.of(Duration.standardMinutes(1)))
.triggering(
Repeatedly.forever(
AfterProcessingTime.pastFirstElementInPane()
.plusDelayOf(Duration.standardSeconds(30))))
.withAllowedLateness(Duration.ZERO)
.accumulatingFiredPanes())
.apply(Distinct.create());
PAssert.that(distinctValues).containsInAnyOrder("k1", "k2", "k3");
triggeredDistinctPipeline.run();
}
@Rule public TestPipeline triggeredDistinctRepresentativePipeline = TestPipeline.create();
@Test
@Category({NeedsRunner.class, UsesTestStreamWithProcessingTime.class})
public void testTriggeredDistinctRepresentativeValues() {
Instant base = new Instant(0);
TestStream<KV<Integer, String>> values =
TestStream.create(KvCoder.of(VarIntCoder.of(), StringUtf8Coder.of()))
.advanceWatermarkTo(base)
.addElements(
TimestampedValue.of(KV.of(1, "k1"), base),
TimestampedValue.of(KV.of(2, "k2"), base.plus(Duration.standardSeconds(10))),
TimestampedValue.of(KV.of(3, "k3"), base.plus(Duration.standardSeconds(20))))
.advanceProcessingTime(Duration.standardMinutes(1))
.addElements(
TimestampedValue.of(KV.of(1, "k1"), base.plus(Duration.standardSeconds(30))),
TimestampedValue.of(KV.of(2, "k2"), base.plus(Duration.standardSeconds(40))),
TimestampedValue.of(KV.of(3, "k3"), base.plus(Duration.standardSeconds(50))))
.advanceWatermarkToInfinity();
PCollection<KV<Integer, String>> distinctValues =
triggeredDistinctRepresentativePipeline
.apply(values)
.apply(
Window.<KV<Integer, String>>into(FixedWindows.of(Duration.standardMinutes(1)))
.triggering(
Repeatedly.forever(
AfterProcessingTime.pastFirstElementInPane()
.plusDelayOf(Duration.standardSeconds(30))))
.withAllowedLateness(Duration.ZERO)
.accumulatingFiredPanes())
.apply(
Distinct.withRepresentativeValueFn(new Keys<Integer>())
.withRepresentativeType(TypeDescriptor.of(Integer.class)));
PAssert.that(distinctValues).containsInAnyOrder(KV.of(1, "k1"), KV.of(2, "k2"), KV.of(3, "k3"));
triggeredDistinctRepresentativePipeline.run();
}
/**
* Regression test: when all values are emitted by a speculative trigger, caused a null KV when
* the on-time firing occurred.
*/
@Test
@Category({NeedsRunner.class, UsesTestStreamWithProcessingTime.class})
public void testTriggeredDistinctRepresentativeValuesEmpty() {
Instant base = new Instant(0);
TestStream<KV<Integer, String>> values =
TestStream.create(KvCoder.of(VarIntCoder.of(), StringUtf8Coder.of()))
.advanceWatermarkTo(base)
.addElements(TimestampedValue.of(KV.of(1, "k1"), base))
.advanceProcessingTime(Duration.standardMinutes(1))
.advanceWatermarkToInfinity();
PCollection<KV<Integer, String>> distinctValues =
triggeredDistinctRepresentativePipeline
.apply(values)
.apply(
Window.<KV<Integer, String>>into(FixedWindows.of(Duration.standardMinutes(1)))
.triggering(
AfterWatermark.pastEndOfWindow()
.withEarlyFirings(
AfterProcessingTime.pastFirstElementInPane()
.plusDelayOf(Duration.standardSeconds(30))))
.withAllowedLateness(Duration.ZERO)
.discardingFiredPanes())
.apply(
Distinct.withRepresentativeValueFn(new Keys<Integer>())
.withRepresentativeType(TypeDescriptor.of(Integer.class)));
PAssert.that(distinctValues).containsInAnyOrder(KV.of(1, "k1"));
triggeredDistinctRepresentativePipeline.run();
}
@Test
public void withLambdaRepresentativeValuesFnNoTypeDescriptorShouldThrow() {
Multimap<Integer, String> predupedContents = HashMultimap.create();
predupedContents.put(3, "foo");
predupedContents.put(4, "foos");
predupedContents.put(6, "barbaz");
predupedContents.put(6, "bazbar");
PCollection<String> dupes =
p.apply(Create.of("foo", "foos", "barbaz", "barbaz", "bazbar", "foo"));
thrown.expect(IllegalStateException.class);
thrown.expectMessage("Unable to return a default Coder for RemoveRepresentativeDupes");
// Thrown when applying a transform to the internal WithKeys that withRepresentativeValueFn is
// implemented with
dupes.apply("RemoveRepresentativeDupes", Distinct.withRepresentativeValueFn(String::length));
}
@Test
@Category(NeedsRunner.class)
public void withLambdaRepresentativeValuesFnAndTypeDescriptorShouldApplyFn() {
PCollection<String> dupes =
p.apply(Create.of("foo", "foos", "barbaz", "barbaz", "bazbar", "foo"));
PCollection<String> deduped =
dupes.apply(
Distinct.withRepresentativeValueFn(String::length)
.withRepresentativeType(TypeDescriptor.of(Integer.class)));
PAssert.that(deduped)
.satisfies(
(Iterable<String> strs) -> {
Multimap<Integer, String> predupedContents = HashMultimap.create();
predupedContents.put(3, "foo");
predupedContents.put(4, "foos");
predupedContents.put(6, "barbaz");
predupedContents.put(6, "bazbar");
Set<Integer> seenLengths = new HashSet<>();
for (String s : strs) {
assertThat(predupedContents.values(), hasItem(s));
assertThat(seenLengths, not(contains(s.length())));
seenLengths.add(s.length());
}
return null;
});
p.run();
}
}