ableegoldman commented on a change in pull request #9039: URL: https://github.com/apache/kafka/pull/9039#discussion_r474977836
########## File path: streams/src/test/java/org/apache/kafka/streams/kstream/internals/KStreamSlidingWindowAggregateTest.java ########## @@ -0,0 +1,579 @@ +/* + * 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.kafka.streams.kstream.internals; + +import org.apache.kafka.common.MetricName; +import org.apache.kafka.common.serialization.Serdes; +import org.apache.kafka.common.serialization.StringDeserializer; +import org.apache.kafka.common.serialization.StringSerializer; +import org.apache.kafka.common.utils.Bytes; +import org.apache.kafka.streams.KeyValue; +import org.apache.kafka.streams.KeyValueTimestamp; +import org.apache.kafka.streams.StreamsBuilder; +import org.apache.kafka.streams.StreamsConfig; +import org.apache.kafka.streams.TestOutputTopic; +import org.apache.kafka.streams.TopologyTestDriver; +import org.apache.kafka.streams.kstream.Consumed; +import org.apache.kafka.streams.kstream.Grouped; +import org.apache.kafka.streams.kstream.KStream; +import org.apache.kafka.streams.kstream.KTable; +import org.apache.kafka.streams.kstream.Materialized; +import org.apache.kafka.streams.kstream.SlidingWindows; +import org.apache.kafka.streams.kstream.Windowed; +import org.apache.kafka.streams.processor.internals.testutil.LogCaptureAppender; +import org.apache.kafka.streams.state.ValueAndTimestamp; +import org.apache.kafka.streams.state.WindowStore; +import org.apache.kafka.streams.TestInputTopic; +import org.apache.kafka.streams.test.TestRecord; +import org.apache.kafka.test.MockAggregator; +import org.apache.kafka.test.MockInitializer; +import org.apache.kafka.test.MockProcessor; +import org.apache.kafka.test.MockProcessorSupplier; +import org.apache.kafka.test.StreamsTestUtils; +import org.hamcrest.Matcher; +import org.junit.Test; + +import java.util.Arrays; +import java.util.Collections; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.Properties; +import java.util.Random; + +import static java.time.Duration.ofMillis; +import static java.util.Arrays.asList; +import static org.apache.kafka.common.utils.Utils.mkEntry; +import static org.apache.kafka.common.utils.Utils.mkMap; +import static org.hamcrest.CoreMatchers.equalTo; +import static org.hamcrest.CoreMatchers.hasItem; +import static org.hamcrest.CoreMatchers.hasItems; +import static org.hamcrest.CoreMatchers.is; +import static org.hamcrest.CoreMatchers.not; +import static org.hamcrest.MatcherAssert.assertThat; +import static org.junit.Assert.assertEquals; +import static org.junit.Assert.assertTrue; + +public class KStreamSlidingWindowAggregateTest { + private final Properties props = StreamsTestUtils.getStreamsConfig(Serdes.String(), Serdes.String()); + private final String threadId = Thread.currentThread().getName(); + + @Test + public void testAggBasic() { + final StreamsBuilder builder = new StreamsBuilder(); + final String topic1 = "topic1"; + + final KTable<Windowed<String>, String> table2 = builder + .stream(topic1, Consumed.with(Serdes.String(), Serdes.String())) + .groupByKey(Grouped.with(Serdes.String(), Serdes.String())) + .windowedBy(SlidingWindows.withTimeDifferenceAndGrace(ofMillis(10), ofMillis(50))) + .aggregate( + MockInitializer.STRING_INIT, + MockAggregator.TOSTRING_ADDER, + Materialized.<String, String, WindowStore<Bytes, byte[]>>as("topic1-Canonized").withValueSerde(Serdes.String()) + ); + final MockProcessorSupplier<Windowed<String>, String> supplier = new MockProcessorSupplier<>(); + table2.toStream().process(supplier); + + try (final TopologyTestDriver driver = new TopologyTestDriver(builder.build(), props)) { + final TestInputTopic<String, String> inputTopic1 = + driver.createInputTopic(topic1, new StringSerializer(), new StringSerializer()); + inputTopic1.pipeInput("A", "1", 10L); + inputTopic1.pipeInput("A", "2", 20L); + inputTopic1.pipeInput("A", "3", 22L); + inputTopic1.pipeInput("A", "4", 15L); + + inputTopic1.pipeInput("B", "1", 12L); + inputTopic1.pipeInput("B", "2", 13L); + inputTopic1.pipeInput("B", "3", 18L); + inputTopic1.pipeInput("B", "4", 19L); + inputTopic1.pipeInput("B", "5", 25L); + inputTopic1.pipeInput("B", "6", 14L); + + inputTopic1.pipeInput("C", "1", 11L); + inputTopic1.pipeInput("C", "2", 15L); + inputTopic1.pipeInput("C", "3", 16L); + inputTopic1.pipeInput("C", "4", 21); + inputTopic1.pipeInput("C", "5", 23L); + + inputTopic1.pipeInput("D", "4", 11L); + inputTopic1.pipeInput("D", "2", 12L); + inputTopic1.pipeInput("D", "3", 29L); + inputTopic1.pipeInput("D", "5", 16L); + } + + assertEquals( + asList( + // FINAL WINDOW: A@10 left window created when A@10 processed + new KeyValueTimestamp<>(new Windowed<>("A", new TimeWindow(0, 10)), "0+1", 10), + // A@10 right window created when A@20 processed + new KeyValueTimestamp<>(new Windowed<>("A", new TimeWindow(11, 21)), "0+2", 20), + // A@20 left window created when A@20 processed + new KeyValueTimestamp<>(new Windowed<>("A", new TimeWindow(10, 20)), "0+1+2", 20), + // FINAL WINDOW: A@20 right window created when A@22 processed + new KeyValueTimestamp<>(new Windowed<>("A", new TimeWindow(21, 31)), "0+3", 22), + // A@22 left window created when A@22 processed + new KeyValueTimestamp<>(new Windowed<>("A", new TimeWindow(12, 22)), "0+2+3", 22), + // FINAL WINDOW: A@20 left window updated when A@15 processed + new KeyValueTimestamp<>(new Windowed<>("A", new TimeWindow(10, 20)), "0+1+2+4", 20), + // FINAL WINDOW: A@10 right window updated when A@15 processed + new KeyValueTimestamp<>(new Windowed<>("A", new TimeWindow(11, 21)), "0+2+4", 20), + // FINAL WINDOW: A@22 left window updated when A@15 processed + new KeyValueTimestamp<>(new Windowed<>("A", new TimeWindow(12, 22)), "0+2+3+4", 22), + // FINAL WINDOW: A@15 left window created when A@15 processed + new KeyValueTimestamp<>(new Windowed<>("A", new TimeWindow(5, 15)), "0+1+4", 15), + // FINAL WINDOW: A@15 right window created when A@15 processed + new KeyValueTimestamp<>(new Windowed<>("A", new TimeWindow(16, 26)), "0+2+3", 22), + + // FINAL WINDOW: B@12 left window created when B@12 processed + new KeyValueTimestamp<>(new Windowed<>("B", new TimeWindow(2, 12)), "0+1", 12), + // B@12 right window created when B@13 processed + new KeyValueTimestamp<>(new Windowed<>("B", new TimeWindow(13, 23)), "0+2", 13), + // FINAL WINDOW: B@13 left window created when B@13 processed + new KeyValueTimestamp<>(new Windowed<>("B", new TimeWindow(3, 13)), "0+1+2", 13), + // B@12 right window updated when B@18 processed + new KeyValueTimestamp<>(new Windowed<>("B", new TimeWindow(13, 23)), "0+2+3", 18), + // B@13 right window created when B@18 processed + new KeyValueTimestamp<>(new Windowed<>("B", new TimeWindow(14, 24)), "0+3", 18), + // B@18 left window created when B@18 processed + new KeyValueTimestamp<>(new Windowed<>("B", new TimeWindow(8, 18)), "0+1+2+3", 18), + // B@12 right window updated when B@19 processed + new KeyValueTimestamp<>(new Windowed<>("B", new TimeWindow(13, 23)), "0+2+3+4", 19), + // B@13 right window updated when B@19 processed + new KeyValueTimestamp<>(new Windowed<>("B", new TimeWindow(14, 24)), "0+3+4", 19), + // B@18 right window created when B@19 processed + new KeyValueTimestamp<>(new Windowed<>("B", new TimeWindow(19, 29)), "0+4", 19), + // B@19 left window created when B@19 processed + new KeyValueTimestamp<>(new Windowed<>("B", new TimeWindow(9, 19)), "0+1+2+3+4", 19), + // FINAL WINDOW: B@18 right window updated when B@25 processed + new KeyValueTimestamp<>(new Windowed<>("B", new TimeWindow(19, 29)), "0+4+5", 25), + // FINAL WINDOW: B@19 right window updated when B@25 processed + new KeyValueTimestamp<>(new Windowed<>("B", new TimeWindow(20, 30)), "0+5", 25), + // FINAL WINDOW: B@25 left window created when B@25 processed + new KeyValueTimestamp<>(new Windowed<>("B", new TimeWindow(15, 25)), "0+3+4+5", 25), + // FINAL WINDOW: B@18 left window updated when B@14 processed + new KeyValueTimestamp<>(new Windowed<>("B", new TimeWindow(8, 18)), "0+1+2+3+6", 18), + // FINAL WINDOW: B@19 left window updated when B@14 processed + new KeyValueTimestamp<>(new Windowed<>("B", new TimeWindow(9, 19)), "0+1+2+3+4+6", 19), + // FINAL WINDOW: B@12 right window updated when B@14 processed + new KeyValueTimestamp<>(new Windowed<>("B", new TimeWindow(13, 23)), "0+2+3+4+6", 19), + // FINAL WINDOW: B@13 right window updated when B@14 processed + new KeyValueTimestamp<>(new Windowed<>("B", new TimeWindow(14, 24)), "0+3+4+6", 19), + // FINAL WINDOW: B@14 left window created when B@14 processed + new KeyValueTimestamp<>(new Windowed<>("B", new TimeWindow(4, 14)), "0+1+2+6", 14), + + // FINAL WINDOW: C@11 left window created when C@11 processed + new KeyValueTimestamp<>(new Windowed<>("C", new TimeWindow(1, 11)), "0+1", 11), + // C@11 right window created when C@15 processed + new KeyValueTimestamp<>(new Windowed<>("C", new TimeWindow(12, 22)), "0+2", 15), + // FINAL WINDOW: C@15 left window created when C@15 processed + new KeyValueTimestamp<>(new Windowed<>("C", new TimeWindow(5, 15)), "0+1+2", 15), + // C@11 right window updated when C@16 processed + new KeyValueTimestamp<>(new Windowed<>("C", new TimeWindow(12, 22)), "0+2+3", 16), + // C@15 right window created when C@16 processed + new KeyValueTimestamp<>(new Windowed<>("C", new TimeWindow(16, 26)), "0+3", 16), + // FINAL WINDOW: C@16 left window created when C@16 processed + new KeyValueTimestamp<>(new Windowed<>("C", new TimeWindow(6, 16)), "0+1+2+3", 16), + // FINAL WINDOW: C@11 right window updated when C@21 processed + new KeyValueTimestamp<>(new Windowed<>("C", new TimeWindow(12, 22)), "0+2+3+4", 21), + // C@15 right window updated when C@21 processed + new KeyValueTimestamp<>(new Windowed<>("C", new TimeWindow(16, 26)), "0+3+4", 21), + // C@16 right window created when C@21 processed + new KeyValueTimestamp<>(new Windowed<>("C", new TimeWindow(17, 27)), "0+4", 21), + // FINAL WINDOW: C@21 left window created when C@21 processed + new KeyValueTimestamp<>(new Windowed<>("C", new TimeWindow(11, 21)), "0+1+2+3+4", 21), + // FINAL WINDOW: C@15 right window updated when C@23 processed + new KeyValueTimestamp<>(new Windowed<>("C", new TimeWindow(16, 26)), "0+3+4+5", 23), + // FINAL WINDOW: C@16 right window updated when C@23 processed + new KeyValueTimestamp<>(new Windowed<>("C", new TimeWindow(17, 27)), "0+4+5", 23), + // FINAL WINDOW: C@21 right window created when C@23 processed + new KeyValueTimestamp<>(new Windowed<>("C", new TimeWindow(22, 32)), "0+5", 23), + // FINAL WINDOW: C@23 left window created when C@23 processed + new KeyValueTimestamp<>(new Windowed<>("C", new TimeWindow(13, 23)), "0+2+3+4+5", 23), + + // FINAL WINDOW: D@11 left window created when D@11 processed + new KeyValueTimestamp<>(new Windowed<>("D", new TimeWindow(1, 11)), "0+4", 11), + // D@11 right window created when D@12 processed + new KeyValueTimestamp<>(new Windowed<>("D", new TimeWindow(12, 22)), "0+2", 12), + // FINAL WINDOW: D@12 left window created when D@12 processed + new KeyValueTimestamp<>(new Windowed<>("D", new TimeWindow(2, 12)), "0+4+2", 12), + // FINAL WINDOW: D@29 left window created when D@29 processed + new KeyValueTimestamp<>(new Windowed<>("D", new TimeWindow(19, 29)), "0+3", 29), + // FINAL WINDOW: D@11 right window updated when D@16 processed + new KeyValueTimestamp<>(new Windowed<>("D", new TimeWindow(12, 22)), "0+2+5", 16), + // FINAL WINDOW: D@12 right window created when D@16 processed + new KeyValueTimestamp<>(new Windowed<>("D", new TimeWindow(13, 23)), "0+5", 16), + // FINAL WINDOW: D@16 left window created when D@16 processed + new KeyValueTimestamp<>(new Windowed<>("D", new TimeWindow(6, 16)), "0+4+2+5", 16) + ), + supplier.theCapturedProcessor().processed + ); + } + + @Test + public void testJoin() { + final StreamsBuilder builder = new StreamsBuilder(); + final String topic1 = "topic1"; + final String topic2 = "topic2"; + + final KTable<Windowed<String>, String> table1 = builder + .stream(topic1, Consumed.with(Serdes.String(), Serdes.String())) + .groupByKey(Grouped.with(Serdes.String(), Serdes.String())) + .windowedBy(SlidingWindows.withTimeDifferenceAndGrace(ofMillis(10), ofMillis(100))) + .aggregate( + MockInitializer.STRING_INIT, + MockAggregator.TOSTRING_ADDER, + Materialized.<String, String, WindowStore<Bytes, byte[]>>as("topic1-Canonized").withValueSerde(Serdes.String()) + ); + + final MockProcessorSupplier<Windowed<String>, String> supplier = new MockProcessorSupplier<>(); + table1.toStream().process(supplier); + + final KTable<Windowed<String>, String> table2 = builder + .stream(topic2, Consumed.with(Serdes.String(), Serdes.String())) + .groupByKey(Grouped.with(Serdes.String(), Serdes.String())) + .windowedBy(SlidingWindows.withTimeDifferenceAndGrace(ofMillis(10), ofMillis(100))) + .aggregate( + MockInitializer.STRING_INIT, + MockAggregator.TOSTRING_ADDER, + Materialized.<String, String, WindowStore<Bytes, byte[]>>as("topic2-Canonized").withValueSerde(Serdes.String()) + ); + table2.toStream().process(supplier); + + table1.join(table2, (p1, p2) -> p1 + "%" + p2).toStream().process(supplier); + + try (final TopologyTestDriver driver = new TopologyTestDriver(builder.build(), props)) { + final TestInputTopic<String, String> inputTopic1 = + driver.createInputTopic(topic1, new StringSerializer(), new StringSerializer()); + final TestInputTopic<String, String> inputTopic2 = + driver.createInputTopic(topic2, new StringSerializer(), new StringSerializer()); + inputTopic1.pipeInput("A", "1", 10L); + inputTopic1.pipeInput("B", "2", 11L); + inputTopic1.pipeInput("C", "3", 12L); + + final List<MockProcessor<Windowed<String>, String>> processors = supplier.capturedProcessors(3); + + processors.get(0).checkAndClearProcessResult( + // left windows created by the first set of records to table 1 + new KeyValueTimestamp<>(new Windowed<>("A", new TimeWindow(0, 10)), "0+1", 10), + new KeyValueTimestamp<>(new Windowed<>("B", new TimeWindow(1, 11)), "0+2", 11), + new KeyValueTimestamp<>(new Windowed<>("C", new TimeWindow(2, 12)), "0+3", 12) + ); + processors.get(1).checkAndClearProcessResult(); + processors.get(2).checkAndClearProcessResult(); + + inputTopic1.pipeInput("A", "1", 15L); + inputTopic1.pipeInput("B", "2", 16L); + inputTopic1.pipeInput("C", "3", 19L); + + processors.get(0).checkAndClearProcessResult( + // right windows from previous records are created, and left windows from new records to table 1 + new KeyValueTimestamp<>(new Windowed<>("A", new TimeWindow(11, 21)), "0+1", 15), + new KeyValueTimestamp<>(new Windowed<>("A", new TimeWindow(5, 15)), "0+1+1", 15), + new KeyValueTimestamp<>(new Windowed<>("B", new TimeWindow(12, 22)), "0+2", 16), + new KeyValueTimestamp<>(new Windowed<>("B", new TimeWindow(6, 16)), "0+2+2", 16), + new KeyValueTimestamp<>(new Windowed<>("C", new TimeWindow(13, 23)), "0+3", 19), + new KeyValueTimestamp<>(new Windowed<>("C", new TimeWindow(9, 19)), "0+3+3", 19) + ); + processors.get(1).checkAndClearProcessResult(); + processors.get(2).checkAndClearProcessResult(); + + inputTopic2.pipeInput("A", "a", 10L); + inputTopic2.pipeInput("B", "b", 30L); + inputTopic2.pipeInput("C", "c", 12L); + inputTopic2.pipeInput("C", "c", 35L); + + + processors.get(0).checkAndClearProcessResult(); + processors.get(1).checkAndClearProcessResult( + // left windows from first set of records sent to table 2 + new KeyValueTimestamp<>(new Windowed<>("A", new TimeWindow(0, 10)), "0+a", 10), + new KeyValueTimestamp<>(new Windowed<>("B", new TimeWindow(20, 30)), "0+b", 30), + new KeyValueTimestamp<>(new Windowed<>("C", new TimeWindow(2, 12)), "0+c", 12), + new KeyValueTimestamp<>(new Windowed<>("C", new TimeWindow(25, 35)), "0+c", 35) + ); + processors.get(2).checkAndClearProcessResult( + // set of join windows from windows created by table 1 and table 2 + new KeyValueTimestamp<>(new Windowed<>("A", new TimeWindow(0, 10)), "0+1%0+a", 10), + new KeyValueTimestamp<>(new Windowed<>("C", new TimeWindow(2, 12)), "0+3%0+c", 12) + ); + + inputTopic2.pipeInput("A", "a", 15L); + inputTopic2.pipeInput("B", "b", 16L); + inputTopic2.pipeInput("C", "c", 17L); + + processors.get(0).checkAndClearProcessResult(); + processors.get(1).checkAndClearProcessResult( + // right windows from previous records are created (where applicable), and left windows from new records to table 2 + new KeyValueTimestamp<>(new Windowed<>("A", new TimeWindow(11, 21)), "0+a", 15), + new KeyValueTimestamp<>(new Windowed<>("A", new TimeWindow(5, 15)), "0+a+a", 15), + new KeyValueTimestamp<>(new Windowed<>("B", new TimeWindow(6, 16)), "0+b", 16), + new KeyValueTimestamp<>(new Windowed<>("C", new TimeWindow(13, 23)), "0+c", 17), + new KeyValueTimestamp<>(new Windowed<>("C", new TimeWindow(7, 17)), "0+c+c", 17) + ); + processors.get(2).checkAndClearProcessResult( + // set of join windows from windows created by table 1 and table 2 + new KeyValueTimestamp<>(new Windowed<>("A", new TimeWindow(11, 21)), "0+1%0+a", 15), + new KeyValueTimestamp<>(new Windowed<>("A", new TimeWindow(5, 15)), "0+1+1%0+a+a", 15), + new KeyValueTimestamp<>(new Windowed<>("B", new TimeWindow(6, 16)), "0+2+2%0+b", 16), + new KeyValueTimestamp<>(new Windowed<>("C", new TimeWindow(13, 23)), "0+3%0+c", 19) + ); + } + } + + @Test + public void shouldLogAndMeterWhenSkippingNullKey() { + final String builtInMetricsVersion = StreamsConfig.METRICS_LATEST; + final StreamsBuilder builder = new StreamsBuilder(); + final String topic = "topic"; + builder + .stream(topic, Consumed.with(Serdes.String(), Serdes.String())) + .groupByKey(Grouped.with(Serdes.String(), Serdes.String())) + .windowedBy(SlidingWindows.withTimeDifferenceAndGrace(ofMillis(10), ofMillis(100))) + .aggregate(MockInitializer.STRING_INIT, MockAggregator.toStringInstance("+"), Materialized.<String, String, WindowStore<Bytes, byte[]>>as("topic1-Canonicalized").withValueSerde(Serdes.String())); + + props.setProperty(StreamsConfig.BUILT_IN_METRICS_VERSION_CONFIG, builtInMetricsVersion); + + try (final LogCaptureAppender appender = LogCaptureAppender.createAndRegister(KStreamSlidingWindowAggregate.class); + final TopologyTestDriver driver = new TopologyTestDriver(builder.build(), props)) { + final TestInputTopic<String, String> inputTopic = + driver.createInputTopic(topic, new StringSerializer(), new StringSerializer()); + inputTopic.pipeInput(null, "1"); + assertThat(appender.getMessages(), hasItem("Skipping record due to null key or value. value=[1] topic=[topic] partition=[0] offset=[0]")); + } + } + + @Test + public void shouldLogAndMeterWhenSkippingExpiredWindowByGrace() { + final String builtInMetricsVersion = StreamsConfig.METRICS_LATEST; + final StreamsBuilder builder = new StreamsBuilder(); + final String topic = "topic"; + + final KStream<String, String> stream1 = builder.stream(topic, Consumed.with(Serdes.String(), Serdes.String())); + stream1.groupByKey(Grouped.with(Serdes.String(), Serdes.String())) + .windowedBy(SlidingWindows.withTimeDifferenceAndGrace(ofMillis(10), ofMillis(90L))) + .aggregate( + () -> "", + MockAggregator.toStringInstance("+"), + Materialized.<String, String, WindowStore<Bytes, byte[]>>as("topic1-Canonicalized").withValueSerde(Serdes.String()).withCachingDisabled().withLoggingDisabled() + ) + .toStream() + .map((key, value) -> new KeyValue<>(key.toString(), value)) + .to("output"); + + props.setProperty(StreamsConfig.BUILT_IN_METRICS_VERSION_CONFIG, builtInMetricsVersion); + + try (final LogCaptureAppender appender = LogCaptureAppender.createAndRegister(KStreamSlidingWindowAggregate.class); + final TopologyTestDriver driver = new TopologyTestDriver(builder.build(), props)) { + + final TestInputTopic<String, String> inputTopic = + driver.createInputTopic(topic, new StringSerializer(), new StringSerializer()); + inputTopic.pipeInput("k", "100", 200L); + inputTopic.pipeInput("k", "0", 100L); + inputTopic.pipeInput("k", "1", 101L); + inputTopic.pipeInput("k", "2", 102L); + inputTopic.pipeInput("k", "3", 103L); + inputTopic.pipeInput("k", "4", 104L); + inputTopic.pipeInput("k", "5", 105L); + inputTopic.pipeInput("k", "6", 15L); + + assertLatenessMetrics(driver, is(7.0), is(185.0), is(96.25)); + + assertThat(appender.getMessages(), hasItems( + // left window for k@100 + "Skipping record for expired window. key=[k] topic=[topic] partition=[0] offset=[1] timestamp=[100] window=[90,100] expiration=[110] streamTime=[200]", + // left window for k@101 + "Skipping record for expired window. key=[k] topic=[topic] partition=[0] offset=[2] timestamp=[101] window=[91,101] expiration=[110] streamTime=[200]", + // left window for k@102 + "Skipping record for expired window. key=[k] topic=[topic] partition=[0] offset=[3] timestamp=[102] window=[92,102] expiration=[110] streamTime=[200]", + // left window for k@103 + "Skipping record for expired window. key=[k] topic=[topic] partition=[0] offset=[4] timestamp=[103] window=[93,103] expiration=[110] streamTime=[200]", + // left window for k@104 + "Skipping record for expired window. key=[k] topic=[topic] partition=[0] offset=[5] timestamp=[104] window=[94,104] expiration=[110] streamTime=[200]", + // left window for k@105 + "Skipping record for expired window. key=[k] topic=[topic] partition=[0] offset=[6] timestamp=[105] window=[95,105] expiration=[110] streamTime=[200]", + // left window for k@15 + "Skipping record for expired window. key=[k] topic=[topic] partition=[0] offset=[7] timestamp=[15] window=[5,15] expiration=[110] streamTime=[200]" + )); + final TestOutputTopic<String, String> outputTopic = + driver.createOutputTopic("output", new StringDeserializer(), new StringDeserializer()); + assertThat(outputTopic.readRecord(), equalTo(new TestRecord<>("[k@190/200]", "+100", null, 200L))); + assertTrue(outputTopic.isEmpty()); + } + } + + @SuppressWarnings("unchecked") + @Test + public void testProcessorRandomInput() { + + final StreamsBuilder builder = new StreamsBuilder(); + final String topic1 = "topic1"; + + final KTable<Windowed<String>, String> table = builder + .stream(topic1, Consumed.with(Serdes.String(), Serdes.String())) + .groupByKey(Grouped.with(Serdes.String(), Serdes.String())) + .windowedBy(SlidingWindows.withTimeDifferenceAndGrace(ofMillis(10), ofMillis(10000))) + .aggregate( + MockInitializer.STRING_INIT, + MockAggregator.TOSTRING_ADDER, + Materialized.<String, String, WindowStore<Bytes, byte[]>>as("topic1-Canonized").withValueSerde(Serdes.String()) + ); + final MockProcessorSupplier<Windowed<String>, String> supplier = new MockProcessorSupplier<>(); + table.toStream().process(supplier); + + final List<ValueAndTimestamp<String>> input = Arrays.asList( + ValueAndTimestamp.make("A", 10L), + ValueAndTimestamp.make("A", 15L), + ValueAndTimestamp.make("A", 16L), + ValueAndTimestamp.make("A", 18L), + ValueAndTimestamp.make("A", 30L), + ValueAndTimestamp.make("A", 40L), + ValueAndTimestamp.make("A", 55L), + ValueAndTimestamp.make("A", 56L), + ValueAndTimestamp.make("A", 58L), + ValueAndTimestamp.make("A", 58L), + ValueAndTimestamp.make("A", 62L), + ValueAndTimestamp.make("A", 63L), + ValueAndTimestamp.make("A", 63L), + ValueAndTimestamp.make("A", 63L), + ValueAndTimestamp.make("A", 76L), + ValueAndTimestamp.make("A", 77L), + ValueAndTimestamp.make("A", 80L) + ); + + final long seed = new Random().nextLong(); + final Random shuffle = new Random(seed); + Collections.shuffle(input, shuffle); + + try (final TopologyTestDriver driver = new TopologyTestDriver(builder.build(), props)) { + final TestInputTopic<String, String> inputTopic1 = + driver.createInputTopic(topic1, new StringSerializer(), new StringSerializer()); + for (int i = 0; i < input.size(); i++) { + inputTopic1.pipeInput("A", input.get(i).value(), input.get(i).timestamp()); + } + } + + final Map<Long, ValueAndTimestamp<String>> results = new HashMap<>(); + + for (final KeyValueTimestamp<Object, Object> entry : supplier.theCapturedProcessor().processed) { + final Windowed<String> window = (Windowed<String>) entry.key(); + final Long start = window.window().start(); + final ValueAndTimestamp valueAndTimestamp = ValueAndTimestamp.make((String) entry.value(), entry.timestamp()); + if (results.putIfAbsent(start, valueAndTimestamp) != null) { + results.replace(start, valueAndTimestamp); + } + } + randomEqualityCheck(results, seed); + } + + private void randomEqualityCheck(final Map<Long, ValueAndTimestamp<String>> actual, final Long seed) { + final Map<Long, ValueAndTimestamp<String>> expected = new HashMap<>(); + expected.put(0L, ValueAndTimestamp.make("0+A", 10L)); Review comment: Just a minor note, can we order the expected results by window timestamp? ---------------------------------------------------------------- This is an 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