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Posted to commits@flink.apache.org by tz...@apache.org on 2017/06/07 16:30:07 UTC
[10/12] flink git commit: [FLINK-6830] [DataStream] Port window
operator migration tests for Flink 1.3
http://git-wip-us.apache.org/repos/asf/flink/blob/9f6407dc/flink-streaming-java/src/test/java/org/apache/flink/streaming/runtime/operators/windowing/WindowOperatorMigrationTest.java
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diff --git a/flink-streaming-java/src/test/java/org/apache/flink/streaming/runtime/operators/windowing/WindowOperatorMigrationTest.java b/flink-streaming-java/src/test/java/org/apache/flink/streaming/runtime/operators/windowing/WindowOperatorMigrationTest.java
new file mode 100644
index 0000000..9f19064
--- /dev/null
+++ b/flink-streaming-java/src/test/java/org/apache/flink/streaming/runtime/operators/windowing/WindowOperatorMigrationTest.java
@@ -0,0 +1,1087 @@
+/*
+ * 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.flink.streaming.runtime.operators.windowing;
+
+import org.apache.flink.api.common.ExecutionConfig;
+import org.apache.flink.api.common.functions.ReduceFunction;
+import org.apache.flink.api.common.state.ListStateDescriptor;
+import org.apache.flink.api.common.state.ReducingStateDescriptor;
+import org.apache.flink.api.common.typeinfo.BasicTypeInfo;
+import org.apache.flink.api.common.typeinfo.TypeInformation;
+import org.apache.flink.api.java.functions.KeySelector;
+import org.apache.flink.api.java.tuple.Tuple2;
+import org.apache.flink.api.java.tuple.Tuple3;
+import org.apache.flink.api.java.typeutils.TypeInfoParser;
+import org.apache.flink.configuration.Configuration;
+import org.apache.flink.streaming.api.datastream.LegacyWindowOperatorType;
+import org.apache.flink.streaming.api.functions.windowing.PassThroughWindowFunction;
+import org.apache.flink.streaming.api.functions.windowing.RichWindowFunction;
+import org.apache.flink.streaming.api.functions.windowing.WindowFunction;
+import org.apache.flink.streaming.api.watermark.Watermark;
+import org.apache.flink.streaming.api.windowing.assigners.EventTimeSessionWindows;
+import org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows;
+import org.apache.flink.streaming.api.windowing.assigners.TumblingProcessingTimeWindows;
+import org.apache.flink.streaming.api.windowing.time.Time;
+import org.apache.flink.streaming.api.windowing.triggers.CountTrigger;
+import org.apache.flink.streaming.api.windowing.triggers.EventTimeTrigger;
+import org.apache.flink.streaming.api.windowing.triggers.ProcessingTimeTrigger;
+import org.apache.flink.streaming.api.windowing.triggers.PurgingTrigger;
+import org.apache.flink.streaming.api.windowing.windows.TimeWindow;
+import org.apache.flink.streaming.api.windowing.windows.Window;
+import org.apache.flink.streaming.runtime.operators.windowing.functions.InternalIterableWindowFunction;
+import org.apache.flink.streaming.runtime.operators.windowing.functions.InternalSingleValueWindowFunction;
+import org.apache.flink.streaming.runtime.streamrecord.StreamRecord;
+import org.apache.flink.streaming.runtime.tasks.OperatorStateHandles;
+import org.apache.flink.streaming.util.KeyedOneInputStreamOperatorTestHarness;
+import org.apache.flink.streaming.util.OneInputStreamOperatorTestHarness;
+import org.apache.flink.streaming.util.OperatorSnapshotUtil;
+import org.apache.flink.streaming.util.TestHarnessUtil;
+import org.apache.flink.streaming.util.migration.MigrationTestUtil;
+import org.apache.flink.streaming.util.migration.MigrationVersion;
+import org.apache.flink.util.Collector;
+
+import org.junit.Ignore;
+import org.junit.Test;
+import org.junit.runner.RunWith;
+import org.junit.runners.Parameterized;
+
+import java.util.Arrays;
+import java.util.Collection;
+import java.util.Comparator;
+import java.util.concurrent.ConcurrentLinkedQueue;
+import java.util.concurrent.TimeUnit;
+
+import static org.junit.Assert.fail;
+
+/**
+ * Tests for checking whether {@link WindowOperator} can restore from snapshots that were done
+ * using previous Flink versions' {@link WindowOperator}.
+ *
+ * <p>This also checks whether {@link WindowOperator} can restore from a checkpoint of the
+ * aligned processing-time windows operator of previous Flink versions.
+ *
+ * <p>For regenerating the binary snapshot file you have to run the {@code write*()} method on
+ * the corresponding Flink release-* branch.
+ */
+@RunWith(Parameterized.class)
+public class WindowOperatorMigrationTest {
+
+ @Parameterized.Parameters(name = "Migration Savepoint: {0}")
+ public static Collection<MigrationVersion> parameters () {
+ return Arrays.asList(MigrationVersion.v1_1, MigrationVersion.v1_2, MigrationVersion.v1_3);
+ }
+
+ /**
+ * TODO change this to the corresponding savepoint version to be written (e.g. {@link MigrationVersion#v1_3} for 1.3)
+ * TODO and remove all @Ignore annotations on write*Snapshot() methods to generate savepoints
+ */
+ private final MigrationVersion flinkGenerateSavepointVersion = null;
+
+ private final MigrationVersion testMigrateVersion;
+
+ public WindowOperatorMigrationTest(MigrationVersion testMigrateVersion) {
+ this.testMigrateVersion = testMigrateVersion;
+ }
+
+ /**
+ * Manually run this to write binary snapshot data.
+ */
+ @Ignore
+ @Test
+ public void writeSessionWindowsWithCountTriggerSnapshot() throws Exception {
+ final int sessionSize = 3;
+
+ TypeInformation<Tuple2<String, Integer>> inputType = TypeInfoParser.parse("Tuple2<String, Integer>");
+
+ ListStateDescriptor<Tuple2<String, Integer>> stateDesc = new ListStateDescriptor<>("window-contents",
+ inputType.createSerializer(new ExecutionConfig()));
+
+ WindowOperator<String, Tuple2<String, Integer>, Iterable<Tuple2<String, Integer>>, Tuple3<String, Long, Long>, TimeWindow> operator = new WindowOperator<>(
+ EventTimeSessionWindows.withGap(Time.seconds(sessionSize)),
+ new TimeWindow.Serializer(),
+ new TupleKeySelector(),
+ BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()),
+ stateDesc,
+ new InternalIterableWindowFunction<>(new SessionWindowFunction()),
+ PurgingTrigger.of(CountTrigger.of(4)),
+ 0,
+ null /* late data output tag */);
+
+ OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple3<String, Long, Long>> testHarness =
+ new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);
+
+ testHarness.setup();
+ testHarness.open();
+
+ // add elements out-of-order
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 0));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 2), 1000));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 3), 2500));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 4), 3500));
+
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 10));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 2), 1000));
+
+ // do snapshot and save to file
+ OperatorStateHandles snapshot = testHarness.snapshot(0L, 0L);
+
+ OperatorSnapshotUtil.writeStateHandle(
+ snapshot,
+ "src/test/resources/win-op-migration-test-session-with-stateful-trigger-flink" + flinkGenerateSavepointVersion + "-snapshot");
+
+ testHarness.close();
+ }
+
+ @Test
+ public void testRestoreSessionWindowsWithCountTrigger() throws Exception {
+
+ final int sessionSize = 3;
+
+ TypeInformation<Tuple2<String, Integer>> inputType = TypeInfoParser.parse("Tuple2<String, Integer>");
+
+ ListStateDescriptor<Tuple2<String, Integer>> stateDesc = new ListStateDescriptor<>("window-contents",
+ inputType.createSerializer(new ExecutionConfig()));
+
+ WindowOperator<String, Tuple2<String, Integer>, Iterable<Tuple2<String, Integer>>, Tuple3<String, Long, Long>, TimeWindow> operator = new WindowOperator<>(
+ EventTimeSessionWindows.withGap(Time.seconds(sessionSize)),
+ new TimeWindow.Serializer(),
+ new TupleKeySelector(),
+ BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()),
+ stateDesc,
+ new InternalIterableWindowFunction<>(new SessionWindowFunction()),
+ PurgingTrigger.of(CountTrigger.of(4)),
+ 0,
+ null /* late data output tag */);
+
+ ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();
+
+ OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple3<String, Long, Long>> testHarness =
+ new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);
+
+ testHarness.setup();
+
+ MigrationTestUtil.restoreFromSnapshot(
+ testHarness,
+ OperatorSnapshotUtil.getResourceFilename(
+ "win-op-migration-test-session-with-stateful-trigger-flink" + testMigrateVersion + "-snapshot"),
+ testMigrateVersion);
+
+ testHarness.open();
+
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 3), 2500));
+
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 6000));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 2), 6500));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 3), 7000));
+
+ TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple3ResultSortComparator());
+
+ // add an element that merges the two "key1" sessions, they should now have count 6, and therfore fire
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 10), 4500));
+
+ expectedOutput.add(new StreamRecord<>(new Tuple3<>("key1-22", 10L, 10000L), 9999L));
+
+ TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple3ResultSortComparator());
+
+ testHarness.close();
+ }
+
+ /**
+ * Manually run this to write binary snapshot data.
+ */
+ @Ignore
+ @Test
+ public void writeSessionWindowsWithCountTriggerInMintConditionSnapshot() throws Exception {
+
+ final int sessionSize = 3;
+
+ TypeInformation<Tuple2<String, Integer>> inputType = TypeInfoParser.parse("Tuple2<String, Integer>");
+
+ ListStateDescriptor<Tuple2<String, Integer>> stateDesc = new ListStateDescriptor<>("window-contents",
+ inputType.createSerializer(new ExecutionConfig()));
+
+ WindowOperator<String, Tuple2<String, Integer>, Iterable<Tuple2<String, Integer>>, Tuple3<String, Long, Long>, TimeWindow> operator = new WindowOperator<>(
+ EventTimeSessionWindows.withGap(Time.seconds(sessionSize)),
+ new TimeWindow.Serializer(),
+ new TupleKeySelector(),
+ BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()),
+ stateDesc,
+ new InternalIterableWindowFunction<>(new SessionWindowFunction()),
+ PurgingTrigger.of(CountTrigger.of(4)),
+ 0,
+ null /* late data output tag */);
+
+ OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple3<String, Long, Long>> testHarness =
+ new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);
+
+ testHarness.setup();
+ testHarness.open();
+
+ // do snapshot and save to file
+ OperatorStateHandles snapshot = testHarness.snapshot(0, 0);
+ OperatorSnapshotUtil.writeStateHandle(
+ snapshot,
+ "src/test/resources/win-op-migration-test-session-with-stateful-trigger-mint-flink" + flinkGenerateSavepointVersion + "-snapshot");
+
+ testHarness.close();
+ }
+
+ /**
+ * This checks that we can restore from a virgin {@code WindowOperator} that has never seen
+ * any elements.
+ */
+ @Test
+ public void testRestoreSessionWindowsWithCountTriggerInMintCondition() throws Exception {
+
+ final int sessionSize = 3;
+
+ TypeInformation<Tuple2<String, Integer>> inputType = TypeInfoParser.parse("Tuple2<String, Integer>");
+
+ ListStateDescriptor<Tuple2<String, Integer>> stateDesc = new ListStateDescriptor<>("window-contents",
+ inputType.createSerializer(new ExecutionConfig()));
+
+ WindowOperator<String, Tuple2<String, Integer>, Iterable<Tuple2<String, Integer>>, Tuple3<String, Long, Long>, TimeWindow> operator = new WindowOperator<>(
+ EventTimeSessionWindows.withGap(Time.seconds(sessionSize)),
+ new TimeWindow.Serializer(),
+ new TupleKeySelector(),
+ BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()),
+ stateDesc,
+ new InternalIterableWindowFunction<>(new SessionWindowFunction()),
+ PurgingTrigger.of(CountTrigger.of(4)),
+ 0,
+ null /* late data output tag */);
+
+ ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();
+
+ OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple3<String, Long, Long>> testHarness =
+ new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);
+
+ testHarness.setup();
+
+ MigrationTestUtil.restoreFromSnapshot(
+ testHarness,
+ OperatorSnapshotUtil.getResourceFilename(
+ "win-op-migration-test-session-with-stateful-trigger-mint-flink" + testMigrateVersion + "-snapshot"),
+ testMigrateVersion);
+
+ testHarness.open();
+
+ // add elements out-of-order
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 0));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 2), 1000));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 3), 2500));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 4), 3500));
+
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 10));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 2), 1000));
+
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 3), 2500));
+
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 6000));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 2), 6500));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 3), 7000));
+
+ expectedOutput.add(new StreamRecord<>(new Tuple3<>("key2-10", 0L, 6500L), 6499));
+
+ TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple3ResultSortComparator());
+
+ // add an element that merges the two "key1" sessions, they should now have count 6, and therfore fire
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 10), 4500));
+
+ expectedOutput.add(new StreamRecord<>(new Tuple3<>("key1-22", 10L, 10000L), 9999L));
+
+ TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple3ResultSortComparator());
+
+ testHarness.close();
+ }
+
+
+ /**
+ * Manually run this to write binary snapshot data.
+ */
+ @Ignore
+ @Test
+ public void writeReducingEventTimeWindowsSnapshot() throws Exception {
+ final int windowSize = 3;
+
+ TypeInformation<Tuple2<String, Integer>> inputType = TypeInfoParser.parse("Tuple2<String, Integer>");
+
+ ReducingStateDescriptor<Tuple2<String, Integer>> stateDesc = new ReducingStateDescriptor<>("window-contents",
+ new SumReducer(),
+ inputType.createSerializer(new ExecutionConfig()));
+
+ WindowOperator<String, Tuple2<String, Integer>, Tuple2<String, Integer>, Tuple2<String, Integer>, TimeWindow> operator = new WindowOperator<>(
+ TumblingEventTimeWindows.of(Time.of(windowSize, TimeUnit.SECONDS)),
+ new TimeWindow.Serializer(),
+ new TupleKeySelector(),
+ BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()),
+ stateDesc,
+ new InternalSingleValueWindowFunction<>(new PassThroughWindowFunction<String, TimeWindow, Tuple2<String, Integer>>()),
+ EventTimeTrigger.create(),
+ 0,
+ null /* late data output tag */);
+
+ ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();
+
+ OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple2<String, Integer>> testHarness =
+ new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);
+
+ testHarness.setup();
+ testHarness.open();
+
+ // add elements out-of-order
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 3999));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 3000));
+
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 20));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 0));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 999));
+
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 1998));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 1999));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 1000));
+
+ testHarness.processWatermark(new Watermark(999));
+ expectedOutput.add(new Watermark(999));
+ TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple2ResultSortComparator());
+
+ testHarness.processWatermark(new Watermark(1999));
+ expectedOutput.add(new Watermark(1999));
+ TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple2ResultSortComparator());
+
+ // do snapshot and save to file
+ OperatorStateHandles snapshot = testHarness.snapshot(0, 0);
+ OperatorSnapshotUtil.writeStateHandle(
+ snapshot,
+ "src/test/resources/win-op-migration-test-reduce-event-time-flink" + flinkGenerateSavepointVersion + "-snapshot");
+
+ testHarness.close();
+ }
+
+ @Test
+ public void testRestoreReducingEventTimeWindows() throws Exception {
+ final int windowSize = 3;
+
+ TypeInformation<Tuple2<String, Integer>> inputType = TypeInfoParser.parse("Tuple2<String, Integer>");
+
+ ReducingStateDescriptor<Tuple2<String, Integer>> stateDesc = new ReducingStateDescriptor<>("window-contents",
+ new SumReducer(),
+ inputType.createSerializer(new ExecutionConfig()));
+
+ WindowOperator<String, Tuple2<String, Integer>, Tuple2<String, Integer>, Tuple2<String, Integer>, TimeWindow> operator = new WindowOperator<>(
+ TumblingEventTimeWindows.of(Time.of(windowSize, TimeUnit.SECONDS)),
+ new TimeWindow.Serializer(),
+ new TupleKeySelector(),
+ BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()),
+ stateDesc,
+ new InternalSingleValueWindowFunction<>(new PassThroughWindowFunction<String, TimeWindow, Tuple2<String, Integer>>()),
+ EventTimeTrigger.create(),
+ 0,
+ null /* late data output tag */);
+
+ ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();
+
+ OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple2<String, Integer>> testHarness =
+ new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);
+
+ testHarness.setup();
+
+ MigrationTestUtil.restoreFromSnapshot(
+ testHarness,
+ OperatorSnapshotUtil.getResourceFilename(
+ "win-op-migration-test-reduce-event-time-flink" + testMigrateVersion + "-snapshot"),
+ testMigrateVersion);
+
+ testHarness.open();
+
+ testHarness.processWatermark(new Watermark(2999));
+ expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 3), 2999));
+ expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 3), 2999));
+ expectedOutput.add(new Watermark(2999));
+
+ testHarness.processWatermark(new Watermark(3999));
+ expectedOutput.add(new Watermark(3999));
+
+ testHarness.processWatermark(new Watermark(4999));
+ expectedOutput.add(new Watermark(4999));
+
+ testHarness.processWatermark(new Watermark(5999));
+ expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 2), 5999));
+ expectedOutput.add(new Watermark(5999));
+
+ TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple2ResultSortComparator());
+ testHarness.close();
+ }
+
+ /**
+ * Manually run this to write binary snapshot data.
+ */
+ @Ignore
+ @Test
+ public void writeApplyEventTimeWindowsSnapshot() throws Exception {
+ final int windowSize = 3;
+
+ TypeInformation<Tuple2<String, Integer>> inputType = TypeInfoParser.parse("Tuple2<String, Integer>");
+
+ ListStateDescriptor<Tuple2<String, Integer>> stateDesc = new ListStateDescriptor<>("window-contents",
+ inputType.createSerializer(new ExecutionConfig()));
+
+ WindowOperator<String, Tuple2<String, Integer>, Iterable<Tuple2<String, Integer>>, Tuple2<String, Integer>, TimeWindow> operator = new WindowOperator<>(
+ TumblingEventTimeWindows.of(Time.of(windowSize, TimeUnit.SECONDS)),
+ new TimeWindow.Serializer(),
+ new TupleKeySelector(),
+ BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()),
+ stateDesc,
+ new InternalIterableWindowFunction<>(new RichSumReducer<TimeWindow>()),
+ EventTimeTrigger.create(),
+ 0,
+ null /* late data output tag */);
+
+ ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();
+
+ OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple2<String, Integer>> testHarness =
+ new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);
+
+ testHarness.setup();
+ testHarness.open();
+
+ // add elements out-of-order
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 3999));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 3000));
+
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 20));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 0));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 999));
+
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 1998));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 1999));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 1000));
+
+ testHarness.processWatermark(new Watermark(999));
+ expectedOutput.add(new Watermark(999));
+ TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple2ResultSortComparator());
+
+ testHarness.processWatermark(new Watermark(1999));
+ expectedOutput.add(new Watermark(1999));
+ TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple2ResultSortComparator());
+
+ // do snapshot and save to file
+ OperatorStateHandles snapshot = testHarness.snapshot(0, 0);
+ OperatorSnapshotUtil.writeStateHandle(
+ snapshot,
+ "src/test/resources/win-op-migration-test-apply-event-time-flink" + flinkGenerateSavepointVersion + "-snapshot");
+
+ testHarness.close();
+ }
+
+ @Test
+ public void testRestoreApplyEventTimeWindows() throws Exception {
+ final int windowSize = 3;
+
+ TypeInformation<Tuple2<String, Integer>> inputType = TypeInfoParser.parse("Tuple2<String, Integer>");
+
+ ListStateDescriptor<Tuple2<String, Integer>> stateDesc = new ListStateDescriptor<>("window-contents",
+ inputType.createSerializer(new ExecutionConfig()));
+
+ WindowOperator<String, Tuple2<String, Integer>, Iterable<Tuple2<String, Integer>>, Tuple2<String, Integer>, TimeWindow> operator = new WindowOperator<>(
+ TumblingEventTimeWindows.of(Time.of(windowSize, TimeUnit.SECONDS)),
+ new TimeWindow.Serializer(),
+ new TupleKeySelector(),
+ BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()),
+ stateDesc,
+ new InternalIterableWindowFunction<>(new RichSumReducer<TimeWindow>()),
+ EventTimeTrigger.create(),
+ 0,
+ null /* late data output tag */);
+
+ ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();
+
+ OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple2<String, Integer>> testHarness =
+ new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);
+
+ testHarness.setup();
+
+ MigrationTestUtil.restoreFromSnapshot(
+ testHarness,
+ OperatorSnapshotUtil.getResourceFilename(
+ "win-op-migration-test-apply-event-time-flink" + testMigrateVersion + "-snapshot"),
+ testMigrateVersion);
+
+ testHarness.open();
+
+ testHarness.processWatermark(new Watermark(2999));
+ expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 3), 2999));
+ expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 3), 2999));
+ expectedOutput.add(new Watermark(2999));
+
+ testHarness.processWatermark(new Watermark(3999));
+ expectedOutput.add(new Watermark(3999));
+
+ testHarness.processWatermark(new Watermark(4999));
+ expectedOutput.add(new Watermark(4999));
+
+ testHarness.processWatermark(new Watermark(5999));
+ expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 2), 5999));
+ expectedOutput.add(new Watermark(5999));
+
+ TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple2ResultSortComparator());
+ testHarness.close();
+ }
+
+ /**
+ * Manually run this to write binary snapshot data.
+ */
+ @Ignore
+ @Test
+ public void writeReducingProcessingTimeWindowsSnapshot() throws Exception {
+ final int windowSize = 3;
+
+ TypeInformation<Tuple2<String, Integer>> inputType = TypeInfoParser.parse("Tuple2<String, Integer>");
+
+ ReducingStateDescriptor<Tuple2<String, Integer>> stateDesc = new ReducingStateDescriptor<>("window-contents",
+ new SumReducer(),
+ inputType.createSerializer(new ExecutionConfig()));
+
+ WindowOperator<String, Tuple2<String, Integer>, Tuple2<String, Integer>, Tuple2<String, Integer>, TimeWindow> operator = new WindowOperator<>(
+ TumblingProcessingTimeWindows.of(Time.of(windowSize, TimeUnit.SECONDS)),
+ new TimeWindow.Serializer(),
+ new TupleKeySelector(),
+ BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()),
+ stateDesc,
+ new InternalSingleValueWindowFunction<>(new PassThroughWindowFunction<String, TimeWindow, Tuple2<String, Integer>>()),
+ ProcessingTimeTrigger.create(),
+ 0,
+ null /* late data output tag */);
+
+ ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();
+
+ OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple2<String, Integer>> testHarness =
+ new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);
+
+ testHarness.setup();
+ testHarness.open();
+
+ testHarness.setProcessingTime(10);
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1)));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1)));
+
+ testHarness.setProcessingTime(3010);
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1)));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key3", 1)));
+
+ expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 1), 2999));
+ expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 1), 2999));
+
+ TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple2ResultSortComparator());
+
+ // do snapshot and save to file
+ OperatorStateHandles snapshot = testHarness.snapshot(0, 0);
+ OperatorSnapshotUtil.writeStateHandle(
+ snapshot,
+ "src/test/resources/win-op-migration-test-reduce-processing-time-flink" + flinkGenerateSavepointVersion + "-snapshot");
+
+ testHarness.close();
+
+ }
+
+ @Test
+ public void testRestoreReducingProcessingTimeWindows() throws Exception {
+ final int windowSize = 3;
+
+ TypeInformation<Tuple2<String, Integer>> inputType = TypeInfoParser.parse("Tuple2<String, Integer>");
+
+ ReducingStateDescriptor<Tuple2<String, Integer>> stateDesc = new ReducingStateDescriptor<>("window-contents",
+ new SumReducer(),
+ inputType.createSerializer(new ExecutionConfig()));
+
+ WindowOperator<String, Tuple2<String, Integer>, Tuple2<String, Integer>, Tuple2<String, Integer>, TimeWindow> operator = new WindowOperator<>(
+ TumblingProcessingTimeWindows.of(Time.of(windowSize, TimeUnit.SECONDS)),
+ new TimeWindow.Serializer(),
+ new TupleKeySelector(),
+ BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()),
+ stateDesc,
+ new InternalSingleValueWindowFunction<>(new PassThroughWindowFunction<String, TimeWindow, Tuple2<String, Integer>>()),
+ ProcessingTimeTrigger.create(),
+ 0,
+ null /* late data output tag */);
+
+ ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();
+
+ OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple2<String, Integer>> testHarness =
+ new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);
+
+ testHarness.setup();
+
+ MigrationTestUtil.restoreFromSnapshot(
+ testHarness,
+ OperatorSnapshotUtil.getResourceFilename(
+ "win-op-migration-test-reduce-processing-time-flink" + testMigrateVersion + "-snapshot"),
+ testMigrateVersion);
+
+ testHarness.open();
+
+ testHarness.setProcessingTime(3020);
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 3)));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 3)));
+
+ testHarness.setProcessingTime(6000);
+
+ expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 3), 5999));
+ expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 4), 5999));
+ expectedOutput.add(new StreamRecord<>(new Tuple2<>("key3", 1), 5999));
+
+ TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple2ResultSortComparator());
+ testHarness.close();
+ }
+
+ /**
+ * Manually run this to write binary snapshot data.
+ */
+ @Ignore
+ @Test
+ public void writeApplyProcessingTimeWindowsSnapshot() throws Exception {
+ final int windowSize = 3;
+
+ TypeInformation<Tuple2<String, Integer>> inputType = TypeInfoParser.parse("Tuple2<String, Integer>");
+
+ ListStateDescriptor<Tuple2<String, Integer>> stateDesc = new ListStateDescriptor<>("window-contents",
+ inputType.createSerializer(new ExecutionConfig()));
+
+ WindowOperator<String, Tuple2<String, Integer>, Iterable<Tuple2<String, Integer>>, Tuple2<String, Integer>, TimeWindow> operator = new WindowOperator<>(
+ TumblingProcessingTimeWindows.of(Time.of(windowSize, TimeUnit.SECONDS)),
+ new TimeWindow.Serializer(),
+ new TupleKeySelector(),
+ BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()),
+ stateDesc,
+ new InternalIterableWindowFunction<>(new RichSumReducer<TimeWindow>()),
+ ProcessingTimeTrigger.create(),
+ 0,
+ null /* late data output tag */);
+
+ ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();
+
+ OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple2<String, Integer>> testHarness =
+ new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);
+
+ testHarness.setup();
+ testHarness.open();
+
+ testHarness.setProcessingTime(10);
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1)));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1)));
+
+ testHarness.setProcessingTime(3010);
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1)));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key3", 1)));
+
+ expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 1), 2999));
+ expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 1), 2999));
+
+ TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple2ResultSortComparator());
+
+ // do snapshot and save to file
+ OperatorStateHandles snapshot = testHarness.snapshot(0, 0);
+ OperatorSnapshotUtil.writeStateHandle(
+ snapshot,
+ "src/test/resources/win-op-migration-test-apply-processing-time-flink" + flinkGenerateSavepointVersion + "-snapshot");
+
+ testHarness.close();
+ }
+
+ @Test
+ public void testRestoreApplyProcessingTimeWindows() throws Exception {
+ final int windowSize = 3;
+
+ TypeInformation<Tuple2<String, Integer>> inputType = TypeInfoParser.parse("Tuple2<String, Integer>");
+
+ ListStateDescriptor<Tuple2<String, Integer>> stateDesc = new ListStateDescriptor<>("window-contents",
+ inputType.createSerializer(new ExecutionConfig()));
+
+ WindowOperator<String, Tuple2<String, Integer>, Iterable<Tuple2<String, Integer>>, Tuple2<String, Integer>, TimeWindow> operator = new WindowOperator<>(
+ TumblingProcessingTimeWindows.of(Time.of(windowSize, TimeUnit.SECONDS)),
+ new TimeWindow.Serializer(),
+ new TupleKeySelector(),
+ BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()),
+ stateDesc,
+ new InternalIterableWindowFunction<>(new RichSumReducer<TimeWindow>()),
+ ProcessingTimeTrigger.create(),
+ 0,
+ null /* late data output tag */);
+
+ ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();
+
+ OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple2<String, Integer>> testHarness =
+ new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);
+
+ testHarness.setup();
+
+ MigrationTestUtil.restoreFromSnapshot(
+ testHarness,
+ OperatorSnapshotUtil.getResourceFilename(
+ "win-op-migration-test-apply-processing-time-flink" + testMigrateVersion + "-snapshot"),
+ testMigrateVersion);
+
+ testHarness.open();
+
+ testHarness.setProcessingTime(3020);
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 3)));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 3)));
+
+ testHarness.setProcessingTime(6000);
+
+ expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 3), 5999));
+ expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 4), 5999));
+ expectedOutput.add(new StreamRecord<>(new Tuple2<>("key3", 1), 5999));
+
+ TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple2ResultSortComparator());
+ testHarness.close();
+ }
+
+ /**
+ * Manually run this to write binary snapshot data.
+ */
+ @Ignore
+ @Test
+ public void writeAggregatingAlignedProcessingTimeWindowsSnapshot() throws Exception {
+ TypeInformation<Tuple2<String, Integer>> inputType = TypeInfoParser.parse("Tuple2<String, Integer>");
+
+ AggregatingProcessingTimeWindowOperator<String, Tuple2<String, Integer>> operator =
+ new AggregatingProcessingTimeWindowOperator<>(
+ new ReduceFunction<Tuple2<String, Integer>>() {
+ private static final long serialVersionUID = -8913160567151867987L;
+
+ @Override
+ public Tuple2<String, Integer> reduce(Tuple2<String, Integer> value1, Tuple2<String, Integer> value2) throws Exception {
+ return new Tuple2<>(value1.f0, value1.f1 + value2.f1);
+ }
+ },
+ new TupleKeySelector(),
+ BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()),
+ inputType.createSerializer(new ExecutionConfig()),
+ 3000,
+ 3000);
+
+ OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple2<String, Integer>> testHarness =
+ new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);
+
+ testHarness.open();
+
+ testHarness.setProcessingTime(3);
+
+ // timestamp is ignored in processing time
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), Long.MAX_VALUE));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 7000));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 7000));
+
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 7000));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 7000));
+
+ // do a snapshot, close and restore again
+ OperatorStateHandles snapshot = testHarness.snapshot(0, 0);
+ OperatorSnapshotUtil.writeStateHandle(
+ snapshot,
+ "src/test/resources/win-op-migration-test-aggr-aligned-flink" + flinkGenerateSavepointVersion + "-snapshot");
+ testHarness.close();
+ }
+
+ @Test
+ public void testRestoreAggregatingAlignedProcessingTimeWindows() throws Exception {
+ final int windowSize = 3;
+
+ TypeInformation<Tuple2<String, Integer>> inputType = TypeInfoParser.parse("Tuple2<String, Integer>");
+
+ ReducingStateDescriptor<Tuple2<String, Integer>> stateDesc = new ReducingStateDescriptor<>("window-contents",
+ new SumReducer(),
+ inputType.createSerializer(new ExecutionConfig()));
+
+ WindowOperator<String, Tuple2<String, Integer>, Tuple2<String, Integer>, Tuple2<String, Integer>, TimeWindow> operator = new WindowOperator<>(
+ TumblingProcessingTimeWindows.of(Time.of(windowSize, TimeUnit.SECONDS)),
+ new TimeWindow.Serializer(),
+ new TupleKeySelector(),
+ BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()),
+ stateDesc,
+ new InternalSingleValueWindowFunction<>(new PassThroughWindowFunction<String, TimeWindow, Tuple2<String, Integer>>()),
+ ProcessingTimeTrigger.create(),
+ 0,
+ null /* late data output tag */,
+ LegacyWindowOperatorType.FAST_AGGREGATING);
+
+ OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple2<String, Integer>> testHarness =
+ new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);
+
+ ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();
+
+ testHarness.setup();
+
+ MigrationTestUtil.restoreFromSnapshot(
+ testHarness,
+ OperatorSnapshotUtil.getResourceFilename(
+ "win-op-migration-test-aggr-aligned-flink" + testMigrateVersion + "-snapshot"),
+ testMigrateVersion);
+
+ testHarness.open();
+
+ testHarness.setProcessingTime(5000);
+
+ expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 3), 2999));
+ expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 2), 2999));
+
+ TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple2ResultSortComparator());
+
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 7000));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 7000));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 7000));
+
+ testHarness.setProcessingTime(7000);
+
+ expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 3), 5999));
+
+ TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple2ResultSortComparator());
+
+ testHarness.close();
+ }
+
+ /**
+ * Manually run this to write binary snapshot data.
+ */
+ @Ignore
+ @Test
+ public void writeAlignedProcessingTimeWindowsSnapshot() throws Exception {
+ TypeInformation<Tuple2<String, Integer>> inputType = TypeInfoParser.parse("Tuple2<String, Integer>");
+
+ AccumulatingProcessingTimeWindowOperator<String, Tuple2<String, Integer>, Tuple2<String, Integer>> operator =
+ new AccumulatingProcessingTimeWindowOperator<>(
+ new InternalIterableWindowFunction<>(new WindowFunction<Tuple2<String, Integer>, Tuple2<String, Integer>, String, TimeWindow>() {
+
+ private static final long serialVersionUID = 6551516443265733803L;
+
+ @Override
+ public void apply(String s, TimeWindow window, Iterable<Tuple2<String, Integer>> input, Collector<Tuple2<String, Integer>> out) throws Exception {
+ int sum = 0;
+ for (Tuple2<String, Integer> anInput : input) {
+ sum += anInput.f1;
+ }
+ out.collect(new Tuple2<>(s, sum));
+ }
+ }),
+ new TupleKeySelector(),
+ BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()),
+ inputType.createSerializer(new ExecutionConfig()),
+ 3000,
+ 3000);
+
+ OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple2<String, Integer>> testHarness =
+ new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);
+
+ testHarness.open();
+
+ testHarness.setProcessingTime(3);
+
+ // timestamp is ignored in processing time
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), Long.MAX_VALUE));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 7000));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 7000));
+
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 7000));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 7000));
+
+ // do a snapshot, close and restore again
+ OperatorStateHandles snapshot = testHarness.snapshot(0, 0);
+ OperatorSnapshotUtil.writeStateHandle(
+ snapshot,
+ "src/test/resources/win-op-migration-test-accum-aligned-flink" + flinkGenerateSavepointVersion + "-snapshot");
+ testHarness.close();
+ }
+
+ @Test
+ public void testRestoreAccumulatingAlignedProcessingTimeWindows() throws Exception {
+ final int windowSize = 3;
+
+ TypeInformation<Tuple2<String, Integer>> inputType = TypeInfoParser.parse("Tuple2<String, Integer>");
+
+ ReducingStateDescriptor<Tuple2<String, Integer>> stateDesc = new ReducingStateDescriptor<>("window-contents",
+ new SumReducer(),
+ inputType.createSerializer(new ExecutionConfig()));
+
+ WindowOperator<String, Tuple2<String, Integer>, Tuple2<String, Integer>, Tuple2<String, Integer>, TimeWindow> operator = new WindowOperator<>(
+ TumblingProcessingTimeWindows.of(Time.of(windowSize, TimeUnit.SECONDS)),
+ new TimeWindow.Serializer(),
+ new TupleKeySelector(),
+ BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()),
+ stateDesc,
+ new InternalSingleValueWindowFunction<>(new PassThroughWindowFunction<String, TimeWindow, Tuple2<String, Integer>>()),
+ ProcessingTimeTrigger.create(),
+ 0,
+ null /* late data output tag */,
+ LegacyWindowOperatorType.FAST_ACCUMULATING);
+
+ OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple2<String, Integer>> testHarness =
+ new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);
+
+ ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();
+
+ testHarness.setup();
+
+ MigrationTestUtil.restoreFromSnapshot(
+ testHarness,
+ OperatorSnapshotUtil.getResourceFilename(
+ "win-op-migration-test-accum-aligned-flink" + testMigrateVersion + "-snapshot"),
+ testMigrateVersion);
+
+ testHarness.open();
+
+ testHarness.setProcessingTime(5000);
+
+ expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 3), 2999));
+ expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 2), 2999));
+
+ TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple2ResultSortComparator());
+
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 7000));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 7000));
+ testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 7000));
+
+ testHarness.setProcessingTime(7000);
+
+ expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 3), 5999));
+
+ TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple2ResultSortComparator());
+
+ testHarness.close();
+ }
+
+ private static class TupleKeySelector implements KeySelector<Tuple2<String, Integer>, String> {
+ private static final long serialVersionUID = 1L;
+
+ @Override
+ public String getKey(Tuple2<String, Integer> value) throws Exception {
+ return value.f0;
+ }
+ }
+
+ @SuppressWarnings("unchecked")
+ private static class Tuple2ResultSortComparator implements Comparator<Object> {
+ @Override
+ public int compare(Object o1, Object o2) {
+ if (o1 instanceof Watermark || o2 instanceof Watermark) {
+ return 0;
+ } else {
+ StreamRecord<Tuple2<String, Integer>> sr0 = (StreamRecord<Tuple2<String, Integer>>) o1;
+ StreamRecord<Tuple2<String, Integer>> sr1 = (StreamRecord<Tuple2<String, Integer>>) o2;
+ if (sr0.getTimestamp() != sr1.getTimestamp()) {
+ return (int) (sr0.getTimestamp() - sr1.getTimestamp());
+ }
+ int comparison = sr0.getValue().f0.compareTo(sr1.getValue().f0);
+ if (comparison != 0) {
+ return comparison;
+ } else {
+ return sr0.getValue().f1 - sr1.getValue().f1;
+ }
+ }
+ }
+ }
+
+ @SuppressWarnings("unchecked")
+ private static class Tuple3ResultSortComparator implements Comparator<Object> {
+ @Override
+ public int compare(Object o1, Object o2) {
+ if (o1 instanceof Watermark || o2 instanceof Watermark) {
+ return 0;
+ } else {
+ StreamRecord<Tuple3<String, Long, Long>> sr0 = (StreamRecord<Tuple3<String, Long, Long>>) o1;
+ StreamRecord<Tuple3<String, Long, Long>> sr1 = (StreamRecord<Tuple3<String, Long, Long>>) o2;
+ if (sr0.getTimestamp() != sr1.getTimestamp()) {
+ return (int) (sr0.getTimestamp() - sr1.getTimestamp());
+ }
+ int comparison = sr0.getValue().f0.compareTo(sr1.getValue().f0);
+ if (comparison != 0) {
+ return comparison;
+ } else {
+ comparison = (int) (sr0.getValue().f1 - sr1.getValue().f1);
+ if (comparison != 0) {
+ return comparison;
+ }
+ return (int) (sr0.getValue().f1 - sr1.getValue().f1);
+ }
+ }
+ }
+ }
+
+ private static class SumReducer implements ReduceFunction<Tuple2<String, Integer>> {
+ private static final long serialVersionUID = 1L;
+ @Override
+ public Tuple2<String, Integer> reduce(Tuple2<String, Integer> value1,
+ Tuple2<String, Integer> value2) throws Exception {
+ return new Tuple2<>(value2.f0, value1.f1 + value2.f1);
+ }
+ }
+
+ private static class RichSumReducer<W extends Window> extends RichWindowFunction<Tuple2<String, Integer>, Tuple2<String, Integer>, String, W> {
+ private static final long serialVersionUID = 1L;
+
+ private boolean openCalled = false;
+
+ @Override
+ public void open(Configuration parameters) throws Exception {
+ super.open(parameters);
+ openCalled = true;
+ }
+
+ @Override
+ public void close() throws Exception {
+ super.close();
+ }
+
+ @Override
+ public void apply(String key,
+ W window,
+ Iterable<Tuple2<String, Integer>> input,
+ Collector<Tuple2<String, Integer>> out) throws Exception {
+
+ if (!openCalled) {
+ fail("Open was not called");
+ }
+ int sum = 0;
+
+ for (Tuple2<String, Integer> t: input) {
+ sum += t.f1;
+ }
+ out.collect(new Tuple2<>(key, sum));
+
+ }
+
+ }
+
+ private static class SessionWindowFunction implements WindowFunction<Tuple2<String, Integer>, Tuple3<String, Long, Long>, String, TimeWindow> {
+ private static final long serialVersionUID = 1L;
+
+ @Override
+ public void apply(String key,
+ TimeWindow window,
+ Iterable<Tuple2<String, Integer>> values,
+ Collector<Tuple3<String, Long, Long>> out) throws Exception {
+ int sum = 0;
+ for (Tuple2<String, Integer> i: values) {
+ sum += i.f1;
+ }
+ String resultString = key + "-" + sum;
+ out.collect(new Tuple3<>(resultString, window.getStart(), window.getEnd()));
+ }
+ }
+}
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