| /* |
| * 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.windowing; |
| |
| import java.io.File; |
| import java.io.FileOutputStream; |
| import java.io.PrintStream; |
| import java.io.Serializable; |
| import java.util.List; |
| import org.apache.beam.sdk.coders.StringUtf8Coder; |
| import org.apache.beam.sdk.io.TextIO; |
| 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.ValidatesRunner; |
| import org.apache.beam.sdk.transforms.Count; |
| import org.apache.beam.sdk.transforms.Create; |
| import org.apache.beam.sdk.transforms.DoFn; |
| import org.apache.beam.sdk.transforms.Flatten; |
| import org.apache.beam.sdk.transforms.PTransform; |
| 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.PCollectionList; |
| import org.apache.beam.sdk.values.TimestampedValue; |
| import org.apache.beam.vendor.guava.v26_0_jre.com.google.common.base.Splitter; |
| 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.TemporaryFolder; |
| import org.junit.runner.RunWith; |
| import org.junit.runners.JUnit4; |
| |
| /** Unit tests for bucketing. */ |
| @RunWith(JUnit4.class) |
| public class WindowingTest implements Serializable { |
| |
| @Rule public final transient TestPipeline p = TestPipeline.create(); |
| |
| @Rule public transient TemporaryFolder tmpFolder = new TemporaryFolder(); |
| |
| private static class WindowedCount extends PTransform<PCollection<String>, PCollection<String>> { |
| |
| private static final class FormatCountsDoFn extends DoFn<KV<String, Long>, String> { |
| @ProcessElement |
| public void processElement(ProcessContext c, BoundedWindow window) { |
| c.output( |
| c.element().getKey() |
| + ":" |
| + c.element().getValue() |
| + ":" |
| + c.timestamp().getMillis() |
| + ":" |
| + window); |
| } |
| } |
| |
| private WindowFn<? super String, ?> windowFn; |
| |
| public WindowedCount(WindowFn<? super String, ?> windowFn) { |
| this.windowFn = windowFn; |
| } |
| |
| @Override |
| public PCollection<String> expand(PCollection<String> in) { |
| return in.apply( |
| "Window", |
| Window.<String>into(windowFn).withTimestampCombiner(TimestampCombiner.EARLIEST)) |
| .apply(Count.perElement()) |
| .apply("FormatCounts", ParDo.of(new FormatCountsDoFn())) |
| .setCoder(StringUtf8Coder.of()); |
| } |
| } |
| |
| private String output(String value, int count, int timestamp, int windowStart, int windowEnd) { |
| return value |
| + ":" |
| + count |
| + ":" |
| + timestamp |
| + ":[" |
| + new Instant(windowStart) |
| + ".." |
| + new Instant(windowEnd) |
| + ")"; |
| } |
| |
| @Test |
| @Category(ValidatesRunner.class) |
| public void testPartitioningWindowing() { |
| PCollection<String> input = |
| p.apply( |
| Create.timestamped( |
| TimestampedValue.of("a", new Instant(1)), |
| TimestampedValue.of("b", new Instant(2)), |
| TimestampedValue.of("b", new Instant(3)), |
| TimestampedValue.of("c", new Instant(11)), |
| TimestampedValue.of("d", new Instant(11)))); |
| |
| PCollection<String> output = input.apply(new WindowedCount(FixedWindows.of(new Duration(10)))); |
| |
| PAssert.that(output) |
| .containsInAnyOrder( |
| output("a", 1, 1, 0, 10), |
| output("b", 2, 2, 0, 10), |
| output("c", 1, 11, 10, 20), |
| output("d", 1, 11, 10, 20)); |
| |
| p.run(); |
| } |
| |
| @Test |
| @Category(ValidatesRunner.class) |
| public void testNonPartitioningWindowing() { |
| PCollection<String> input = |
| p.apply( |
| Create.timestamped( |
| TimestampedValue.of("a", new Instant(1)), |
| TimestampedValue.of("a", new Instant(7)), |
| TimestampedValue.of("b", new Instant(8)))); |
| |
| PCollection<String> output = |
| input.apply(new WindowedCount(SlidingWindows.of(new Duration(10)).every(new Duration(5)))); |
| |
| PAssert.that(output) |
| .containsInAnyOrder( |
| output("a", 1, 1, -5, 5), |
| output("a", 2, 5, 0, 10), |
| output("a", 1, 10, 5, 15), |
| output("b", 1, 8, 0, 10), |
| output("b", 1, 10, 5, 15)); |
| |
| p.run(); |
| } |
| |
| @Test |
| @Category(ValidatesRunner.class) |
| public void testMergingWindowing() { |
| PCollection<String> input = |
| p.apply( |
| Create.timestamped( |
| TimestampedValue.of("a", new Instant(1)), |
| TimestampedValue.of("a", new Instant(5)), |
| TimestampedValue.of("a", new Instant(20)))); |
| |
| PCollection<String> output = |
| input.apply(new WindowedCount(Sessions.withGapDuration(new Duration(10)))); |
| |
| PAssert.that(output).containsInAnyOrder(output("a", 2, 1, 1, 15), output("a", 1, 20, 20, 30)); |
| |
| p.run(); |
| } |
| |
| @Test |
| @Category(ValidatesRunner.class) |
| public void testWindowPreservation() { |
| PCollection<String> input1 = |
| p.apply( |
| "Create12", |
| Create.timestamped( |
| TimestampedValue.of("a", new Instant(1)), |
| TimestampedValue.of("b", new Instant(2)))); |
| |
| PCollection<String> input2 = |
| p.apply( |
| "Create34", |
| Create.timestamped( |
| TimestampedValue.of("a", new Instant(3)), |
| TimestampedValue.of("b", new Instant(4)))); |
| |
| PCollectionList<String> input = PCollectionList.of(input1).and(input2); |
| |
| PCollection<String> output = |
| input |
| .apply(Flatten.pCollections()) |
| .apply(new WindowedCount(FixedWindows.of(new Duration(5)))); |
| |
| PAssert.that(output).containsInAnyOrder(output("a", 2, 1, 0, 5), output("b", 2, 2, 0, 5)); |
| |
| p.run(); |
| } |
| |
| @Test |
| @Category(NeedsRunner.class) |
| public void testEmptyInput() { |
| PCollection<String> input = p.apply(Create.empty(StringUtf8Coder.of())); |
| |
| PCollection<String> output = input.apply(new WindowedCount(FixedWindows.of(new Duration(10)))); |
| |
| PAssert.that(output).empty(); |
| |
| p.run(); |
| } |
| |
| @Test |
| @Category(NeedsRunner.class) |
| public void testTextIoInput() throws Exception { |
| File tmpFile = tmpFolder.newFile("file.txt"); |
| String filename = tmpFile.getPath(); |
| |
| try (PrintStream writer = new PrintStream(new FileOutputStream(tmpFile))) { |
| writer.println("a 1"); |
| writer.println("b 2"); |
| writer.println("b 3"); |
| writer.println("c 11"); |
| writer.println("d 11"); |
| } |
| |
| PCollection<String> output = |
| p.begin() |
| .apply("ReadLines", TextIO.read().from(filename)) |
| .apply(ParDo.of(new ExtractWordsWithTimestampsFn())) |
| .apply(new WindowedCount(FixedWindows.of(Duration.millis(10)))); |
| |
| PAssert.that(output) |
| .containsInAnyOrder( |
| output("a", 1, 1, 0, 10), |
| output("b", 2, 2, 0, 10), |
| output("c", 1, 11, 10, 20), |
| output("d", 1, 11, 10, 20)); |
| |
| p.run(); |
| } |
| |
| /** A DoFn that tokenizes lines of text into individual words. */ |
| static class ExtractWordsWithTimestampsFn extends DoFn<String, String> { |
| @ProcessElement |
| public void processElement(ProcessContext c) { |
| List<String> words = Splitter.onPattern("[^a-zA-Z0-9']+").splitToList(c.element()); |
| if (words.size() == 2) { |
| c.outputWithTimestamp(words.get(0), new Instant(Long.parseLong(words.get(1)))); |
| } |
| } |
| } |
| } |