stevenzwu commented on code in PR #8553: URL: https://github.com/apache/iceberg/pull/8553#discussion_r1395154710
########## flink/v1.17/flink/src/test/java/org/apache/iceberg/flink/source/TestIcebergSourceWithWatermarkExtractor.java: ########## @@ -0,0 +1,375 @@ +/* + * 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.iceberg.flink.source; + +import static org.apache.flink.connector.testframe.utils.ConnectorTestConstants.DEFAULT_COLLECT_DATA_TIMEOUT; +import static org.assertj.core.api.AssertionsForClassTypes.assertThat; + +import java.io.Serializable; +import java.time.Duration; +import java.time.Instant; +import java.time.LocalDateTime; +import java.time.ZoneId; +import java.util.List; +import java.util.Optional; +import java.util.Set; +import java.util.UUID; +import java.util.concurrent.CompletableFuture; +import java.util.concurrent.TimeUnit; +import java.util.stream.Collectors; +import org.apache.flink.api.common.JobID; +import org.apache.flink.api.common.eventtime.SerializableTimestampAssigner; +import org.apache.flink.api.common.eventtime.WatermarkStrategy; +import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.api.common.typeutils.TypeSerializer; +import org.apache.flink.configuration.Configuration; +import org.apache.flink.core.execution.JobClient; +import org.apache.flink.metrics.Gauge; +import org.apache.flink.runtime.metrics.MetricNames; +import org.apache.flink.runtime.minicluster.RpcServiceSharing; +import org.apache.flink.runtime.testutils.InMemoryReporter; +import org.apache.flink.runtime.testutils.MiniClusterResourceConfiguration; +import org.apache.flink.streaming.api.datastream.DataStream; +import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; +import org.apache.flink.streaming.api.functions.windowing.AllWindowFunction; +import org.apache.flink.streaming.api.operators.collect.CollectResultIterator; +import org.apache.flink.streaming.api.operators.collect.CollectSinkOperator; +import org.apache.flink.streaming.api.operators.collect.CollectSinkOperatorFactory; +import org.apache.flink.streaming.api.operators.collect.CollectStreamSink; +import org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows; +import org.apache.flink.streaming.api.windowing.time.Time; +import org.apache.flink.streaming.api.windowing.windows.TimeWindow; +import org.apache.flink.table.data.RowData; +import org.apache.flink.test.util.MiniClusterWithClientResource; +import org.apache.flink.util.Collector; +import org.apache.iceberg.FileFormat; +import org.apache.iceberg.data.GenericAppenderHelper; +import org.apache.iceberg.data.GenericRecord; +import org.apache.iceberg.data.RandomGenericData; +import org.apache.iceberg.data.Record; +import org.apache.iceberg.flink.HadoopTableResource; +import org.apache.iceberg.flink.RowDataConverter; +import org.apache.iceberg.flink.TestFixtures; +import org.apache.iceberg.relocated.com.google.common.collect.ImmutableList; +import org.apache.iceberg.relocated.com.google.common.collect.Lists; +import org.apache.iceberg.relocated.com.google.common.collect.Sets; +import org.apache.iceberg.types.Comparators; +import org.apache.iceberg.util.StructLikeWrapper; +import org.awaitility.Awaitility; +import org.junit.Assert; +import org.junit.ClassRule; +import org.junit.Rule; +import org.junit.Test; +import org.junit.rules.TemporaryFolder; + +public class TestIcebergSourceWithWatermarkExtractor implements Serializable { + private static final InMemoryReporter reporter = InMemoryReporter.createWithRetainedMetrics(); + private static final int PARALLELISM = 4; + private static final String SOURCE_NAME = "IcebergSource"; + private static final int RECORD_NUM_FOR_2_SPLITS = 200; + + @ClassRule public static final TemporaryFolder TEMPORARY_FOLDER = new TemporaryFolder(); + + @Rule + public final MiniClusterWithClientResource miniClusterResource = + new MiniClusterWithClientResource( + new MiniClusterResourceConfiguration.Builder() + .setNumberTaskManagers(1) + .setNumberSlotsPerTaskManager(PARALLELISM) + .setRpcServiceSharing(RpcServiceSharing.DEDICATED) + .setConfiguration(reporter.addToConfiguration(new Configuration())) + .withHaLeadershipControl() + .build()); + + @Rule + public final HadoopTableResource sourceTableResource = + new HadoopTableResource( + TEMPORARY_FOLDER, TestFixtures.DATABASE, TestFixtures.TABLE, TestFixtures.TS_SCHEMA); + + @Test + public void testWindowing() throws Exception { Review Comment: I am not very clear about our test strategy to confirm watermark alignment. We can probably borrow some ideas from Flink test code on watermark alignment ########## flink/v1.17/flink/src/test/java/org/apache/iceberg/flink/source/TestIcebergSourceWithWatermarkExtractor.java: ########## @@ -0,0 +1,377 @@ +/* + * 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.iceberg.flink.source; + +import static org.apache.flink.connector.testframe.utils.ConnectorTestConstants.DEFAULT_COLLECT_DATA_TIMEOUT; +import static org.assertj.core.api.AssertionsForClassTypes.assertThat; + +import java.io.Serializable; +import java.time.Duration; +import java.time.Instant; +import java.time.LocalDateTime; +import java.time.ZoneId; +import java.util.List; +import java.util.Optional; +import java.util.Set; +import java.util.UUID; +import java.util.concurrent.CompletableFuture; +import java.util.concurrent.TimeUnit; +import java.util.stream.Collectors; +import org.apache.flink.api.common.JobID; +import org.apache.flink.api.common.eventtime.SerializableTimestampAssigner; +import org.apache.flink.api.common.eventtime.WatermarkStrategy; +import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.api.common.typeutils.TypeSerializer; +import org.apache.flink.configuration.Configuration; +import org.apache.flink.core.execution.JobClient; +import org.apache.flink.metrics.Gauge; +import org.apache.flink.runtime.metrics.MetricNames; +import org.apache.flink.runtime.minicluster.RpcServiceSharing; +import org.apache.flink.runtime.testutils.InMemoryReporter; +import org.apache.flink.runtime.testutils.MiniClusterResourceConfiguration; +import org.apache.flink.streaming.api.datastream.DataStream; +import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; +import org.apache.flink.streaming.api.functions.windowing.AllWindowFunction; +import org.apache.flink.streaming.api.operators.collect.CollectResultIterator; +import org.apache.flink.streaming.api.operators.collect.CollectSinkOperator; +import org.apache.flink.streaming.api.operators.collect.CollectSinkOperatorFactory; +import org.apache.flink.streaming.api.operators.collect.CollectStreamSink; +import org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows; +import org.apache.flink.streaming.api.windowing.time.Time; +import org.apache.flink.streaming.api.windowing.windows.TimeWindow; +import org.apache.flink.table.data.RowData; +import org.apache.flink.test.util.MiniClusterWithClientResource; +import org.apache.flink.util.Collector; +import org.apache.iceberg.FileFormat; +import org.apache.iceberg.data.GenericAppenderHelper; +import org.apache.iceberg.data.GenericRecord; +import org.apache.iceberg.data.RandomGenericData; +import org.apache.iceberg.data.Record; +import org.apache.iceberg.flink.HadoopTableResource; +import org.apache.iceberg.flink.RowDataConverter; +import org.apache.iceberg.flink.TestFixtures; +import org.apache.iceberg.flink.source.reader.IcebergTimestampWatermarkExtractor; +import org.apache.iceberg.relocated.com.google.common.collect.ImmutableList; +import org.apache.iceberg.relocated.com.google.common.collect.Lists; +import org.apache.iceberg.relocated.com.google.common.collect.Sets; +import org.apache.iceberg.types.Comparators; +import org.apache.iceberg.util.StructLikeWrapper; +import org.awaitility.Awaitility; +import org.junit.Assert; +import org.junit.ClassRule; +import org.junit.Rule; +import org.junit.Test; +import org.junit.rules.TemporaryFolder; + +public class TestIcebergSourceWithWatermarkExtractor implements Serializable { Review Comment: `TestBucketPartitionerFlinkIcebergSink` is an example of junit5 ########## flink/v1.17/flink/src/test/java/org/apache/iceberg/flink/source/TestIcebergSourceWithWatermarkExtractor.java: ########## @@ -0,0 +1,375 @@ +/* + * 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.iceberg.flink.source; + +import static org.apache.flink.connector.testframe.utils.ConnectorTestConstants.DEFAULT_COLLECT_DATA_TIMEOUT; +import static org.assertj.core.api.AssertionsForClassTypes.assertThat; + +import java.io.Serializable; +import java.time.Duration; +import java.time.Instant; +import java.time.LocalDateTime; +import java.time.ZoneId; +import java.util.List; +import java.util.Optional; +import java.util.Set; +import java.util.UUID; +import java.util.concurrent.CompletableFuture; +import java.util.concurrent.TimeUnit; +import java.util.stream.Collectors; +import org.apache.flink.api.common.JobID; +import org.apache.flink.api.common.eventtime.SerializableTimestampAssigner; +import org.apache.flink.api.common.eventtime.WatermarkStrategy; +import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.api.common.typeutils.TypeSerializer; +import org.apache.flink.configuration.Configuration; +import org.apache.flink.core.execution.JobClient; +import org.apache.flink.metrics.Gauge; +import org.apache.flink.runtime.metrics.MetricNames; +import org.apache.flink.runtime.minicluster.RpcServiceSharing; +import org.apache.flink.runtime.testutils.InMemoryReporter; +import org.apache.flink.runtime.testutils.MiniClusterResourceConfiguration; +import org.apache.flink.streaming.api.datastream.DataStream; +import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; +import org.apache.flink.streaming.api.functions.windowing.AllWindowFunction; +import org.apache.flink.streaming.api.operators.collect.CollectResultIterator; +import org.apache.flink.streaming.api.operators.collect.CollectSinkOperator; +import org.apache.flink.streaming.api.operators.collect.CollectSinkOperatorFactory; +import org.apache.flink.streaming.api.operators.collect.CollectStreamSink; +import org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows; +import org.apache.flink.streaming.api.windowing.time.Time; +import org.apache.flink.streaming.api.windowing.windows.TimeWindow; +import org.apache.flink.table.data.RowData; +import org.apache.flink.test.util.MiniClusterWithClientResource; +import org.apache.flink.util.Collector; +import org.apache.iceberg.FileFormat; +import org.apache.iceberg.data.GenericAppenderHelper; +import org.apache.iceberg.data.GenericRecord; +import org.apache.iceberg.data.RandomGenericData; +import org.apache.iceberg.data.Record; +import org.apache.iceberg.flink.HadoopTableResource; +import org.apache.iceberg.flink.RowDataConverter; +import org.apache.iceberg.flink.TestFixtures; +import org.apache.iceberg.relocated.com.google.common.collect.ImmutableList; +import org.apache.iceberg.relocated.com.google.common.collect.Lists; +import org.apache.iceberg.relocated.com.google.common.collect.Sets; +import org.apache.iceberg.types.Comparators; +import org.apache.iceberg.util.StructLikeWrapper; +import org.awaitility.Awaitility; +import org.junit.Assert; +import org.junit.ClassRule; +import org.junit.Rule; +import org.junit.Test; +import org.junit.rules.TemporaryFolder; + +public class TestIcebergSourceWithWatermarkExtractor implements Serializable { + private static final InMemoryReporter reporter = InMemoryReporter.createWithRetainedMetrics(); + private static final int PARALLELISM = 4; + private static final String SOURCE_NAME = "IcebergSource"; + private static final int RECORD_NUM_FOR_2_SPLITS = 200; + + @ClassRule public static final TemporaryFolder TEMPORARY_FOLDER = new TemporaryFolder(); + + @Rule + public final MiniClusterWithClientResource miniClusterResource = + new MiniClusterWithClientResource( + new MiniClusterResourceConfiguration.Builder() + .setNumberTaskManagers(1) + .setNumberSlotsPerTaskManager(PARALLELISM) + .setRpcServiceSharing(RpcServiceSharing.DEDICATED) + .setConfiguration(reporter.addToConfiguration(new Configuration())) + .withHaLeadershipControl() + .build()); + + @Rule + public final HadoopTableResource sourceTableResource = + new HadoopTableResource( + TEMPORARY_FOLDER, TestFixtures.DATABASE, TestFixtures.TABLE, TestFixtures.TS_SCHEMA); + + @Test + public void testWindowing() throws Exception { + GenericAppenderHelper dataAppender = appender(); + List<Record> expectedRecords = Lists.newArrayList(); + + // Generate records with the following pattern: + // - File 1 - Later records (Watermark 6000000) + // - Split 1 - 2 records (100, "File-1-100"), (103, "File-1-103") + // - File 2 - First records (Watermark 0) + // - Split 1 - 100 records (0, "File-2-0"), (1, "File-2-1"),... + // - Split 2 - 100 records (0, "File-2-0"), (1, "File-2-1"),... + // - File 3 - Parallel write for the first records (Watermark 60000) + // - Split 1 - 2 records (1, "File-3-1"), (3, "File-3-3") + List<Record> batch; + batch = ImmutableList.of(generateRecord(100, "100"), generateRecord(103, "103")); + expectedRecords.addAll(batch); + dataAppender.appendToTable(batch); + + batch = Lists.newArrayListWithCapacity(100); + for (int i = 0; i < RECORD_NUM_FOR_2_SPLITS; ++i) { + batch.add(generateRecord(i % 5, "File-2-" + i)); + } + expectedRecords.addAll(batch); + dataAppender.appendToTable(batch); + + batch = ImmutableList.of(generateRecord(1, "File-3-1"), generateRecord(3, "File-3-3")); Review Comment: `File-3-1` -> `file-3-record-ts-1`. also change file-1 string value to be consistent with file 2 and 3. ########## flink/v1.17/flink/src/test/java/org/apache/iceberg/flink/source/TestIcebergSourceWithWatermarkExtractor.java: ########## @@ -0,0 +1,375 @@ +/* + * 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.iceberg.flink.source; + +import static org.apache.flink.connector.testframe.utils.ConnectorTestConstants.DEFAULT_COLLECT_DATA_TIMEOUT; +import static org.assertj.core.api.AssertionsForClassTypes.assertThat; + +import java.io.Serializable; +import java.time.Duration; +import java.time.Instant; +import java.time.LocalDateTime; +import java.time.ZoneId; +import java.util.List; +import java.util.Optional; +import java.util.Set; +import java.util.UUID; +import java.util.concurrent.CompletableFuture; +import java.util.concurrent.TimeUnit; +import java.util.stream.Collectors; +import org.apache.flink.api.common.JobID; +import org.apache.flink.api.common.eventtime.SerializableTimestampAssigner; +import org.apache.flink.api.common.eventtime.WatermarkStrategy; +import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.api.common.typeutils.TypeSerializer; +import org.apache.flink.configuration.Configuration; +import org.apache.flink.core.execution.JobClient; +import org.apache.flink.metrics.Gauge; +import org.apache.flink.runtime.metrics.MetricNames; +import org.apache.flink.runtime.minicluster.RpcServiceSharing; +import org.apache.flink.runtime.testutils.InMemoryReporter; +import org.apache.flink.runtime.testutils.MiniClusterResourceConfiguration; +import org.apache.flink.streaming.api.datastream.DataStream; +import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; +import org.apache.flink.streaming.api.functions.windowing.AllWindowFunction; +import org.apache.flink.streaming.api.operators.collect.CollectResultIterator; +import org.apache.flink.streaming.api.operators.collect.CollectSinkOperator; +import org.apache.flink.streaming.api.operators.collect.CollectSinkOperatorFactory; +import org.apache.flink.streaming.api.operators.collect.CollectStreamSink; +import org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows; +import org.apache.flink.streaming.api.windowing.time.Time; +import org.apache.flink.streaming.api.windowing.windows.TimeWindow; +import org.apache.flink.table.data.RowData; +import org.apache.flink.test.util.MiniClusterWithClientResource; +import org.apache.flink.util.Collector; +import org.apache.iceberg.FileFormat; +import org.apache.iceberg.data.GenericAppenderHelper; +import org.apache.iceberg.data.GenericRecord; +import org.apache.iceberg.data.RandomGenericData; +import org.apache.iceberg.data.Record; +import org.apache.iceberg.flink.HadoopTableResource; +import org.apache.iceberg.flink.RowDataConverter; +import org.apache.iceberg.flink.TestFixtures; +import org.apache.iceberg.relocated.com.google.common.collect.ImmutableList; +import org.apache.iceberg.relocated.com.google.common.collect.Lists; +import org.apache.iceberg.relocated.com.google.common.collect.Sets; +import org.apache.iceberg.types.Comparators; +import org.apache.iceberg.util.StructLikeWrapper; +import org.awaitility.Awaitility; +import org.junit.Assert; +import org.junit.ClassRule; +import org.junit.Rule; +import org.junit.Test; +import org.junit.rules.TemporaryFolder; + +public class TestIcebergSourceWithWatermarkExtractor implements Serializable { + private static final InMemoryReporter reporter = InMemoryReporter.createWithRetainedMetrics(); + private static final int PARALLELISM = 4; + private static final String SOURCE_NAME = "IcebergSource"; + private static final int RECORD_NUM_FOR_2_SPLITS = 200; + + @ClassRule public static final TemporaryFolder TEMPORARY_FOLDER = new TemporaryFolder(); + + @Rule + public final MiniClusterWithClientResource miniClusterResource = + new MiniClusterWithClientResource( + new MiniClusterResourceConfiguration.Builder() + .setNumberTaskManagers(1) + .setNumberSlotsPerTaskManager(PARALLELISM) + .setRpcServiceSharing(RpcServiceSharing.DEDICATED) + .setConfiguration(reporter.addToConfiguration(new Configuration())) + .withHaLeadershipControl() + .build()); + + @Rule + public final HadoopTableResource sourceTableResource = + new HadoopTableResource( + TEMPORARY_FOLDER, TestFixtures.DATABASE, TestFixtures.TABLE, TestFixtures.TS_SCHEMA); + + @Test + public void testWindowing() throws Exception { + GenericAppenderHelper dataAppender = appender(); + List<Record> expectedRecords = Lists.newArrayList(); + + // Generate records with the following pattern: + // - File 1 - Later records (Watermark 6000000) + // - Split 1 - 2 records (100, "File-1-100"), (103, "File-1-103") + // - File 2 - First records (Watermark 0) + // - Split 1 - 100 records (0, "File-2-0"), (1, "File-2-1"),... + // - Split 2 - 100 records (0, "File-2-0"), (1, "File-2-1"),... + // - File 3 - Parallel write for the first records (Watermark 60000) + // - Split 1 - 2 records (1, "File-3-1"), (3, "File-3-3") + List<Record> batch; + batch = ImmutableList.of(generateRecord(100, "100"), generateRecord(103, "103")); + expectedRecords.addAll(batch); + dataAppender.appendToTable(batch); + + batch = Lists.newArrayListWithCapacity(100); + for (int i = 0; i < RECORD_NUM_FOR_2_SPLITS; ++i) { + batch.add(generateRecord(i % 5, "File-2-" + i)); + } + expectedRecords.addAll(batch); + dataAppender.appendToTable(batch); + + batch = ImmutableList.of(generateRecord(1, "File-3-1"), generateRecord(3, "File-3-3")); + expectedRecords.addAll(batch); + dataAppender.appendToTable(batch); + + StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); + env.setParallelism(2); + + DataStream<RowData> stream = + env.fromSource( + sourceBuilder() + .streaming(true) + .monitorInterval(Duration.ofMillis(10)) + .streamingStartingStrategy(StreamingStartingStrategy.TABLE_SCAN_THEN_INCREMENTAL) + .build(), + WatermarkStrategy.<RowData>noWatermarks() + .withTimestampAssigner(new RowDataTimestampAssigner()), + SOURCE_NAME, + TypeInformation.of(RowData.class)); + DataStream<RowData> windowed = + stream + .windowAll(TumblingEventTimeWindows.of(Time.minutes(5))) + .apply( + new AllWindowFunction<RowData, RowData, TimeWindow>() { + @Override + public void apply( + TimeWindow window, Iterable<RowData> values, Collector<RowData> out) { + // Just print all the data to confirm everything has arrived + values.forEach(out::collect); + } + }); + + CollectResultIterator<RowData> resultIterator = addCollectSink(windowed); + + // Start the job + JobClient jobClient = env.executeAsync("Iceberg Source Windowing Test"); + resultIterator.setJobClient(jobClient); + + // Write data so the windows containing test data are closed + dataAppender.appendToTable(ImmutableList.of(generateRecord(1500, "last-record"))); + dataAppender.appendToTable(ImmutableList.of(generateRecord(1500, "last-record"))); + dataAppender.appendToTable(ImmutableList.of(generateRecord(1500, "last-record"))); + + assertRecords(resultIterator, expectedRecords); + } + + @Test + public void testThrottling() throws Exception { + GenericAppenderHelper dataAppender = appender(); + + // Generate records with the following pattern: + // - File 1 - Later records (Watermark 6000000) + // - Split 1 - 2 records (100, "File-1-100"), (103, "File-1-103") + // - File 2 - First records (Watermark 0) + // - Split 1 - 100 records (0, "File-2-0"), (1, "File-2-1"),... + // - Split 2 - 100 records (0, "File-2-0"), (1, "File-2-1"),... + List<Record> batch; + batch = ImmutableList.of(generateRecord(100, "File-1-100"), generateRecord(103, "File-1-103")); + dataAppender.appendToTable(batch); + + batch = Lists.newArrayListWithCapacity(100); + for (int i = 0; i < RECORD_NUM_FOR_2_SPLITS; ++i) { + batch.add(generateRecord(i % 5, "File-2-" + i)); + } + + dataAppender.appendToTable(batch); + + StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); + env.setParallelism(2); + + DataStream<RowData> stream = + env.fromSource( + sourceBuilder() + .streaming(true) + .monitorInterval(Duration.ofMillis(10)) + .streamingStartingStrategy(StreamingStartingStrategy.TABLE_SCAN_THEN_INCREMENTAL) + .build(), + WatermarkStrategy.<RowData>noWatermarks() + .withWatermarkAlignment("iceberg", Duration.ofMinutes(20)), Review Comment: we should use this version to set the update interval from default 1s to a much smaller value like 1 or 2 ms ``` default WatermarkStrategy<T> withWatermarkAlignment( String watermarkGroup, Duration maxAllowedWatermarkDrift, Duration updateInterval) ``` ########## flink/v1.17/flink/src/test/java/org/apache/iceberg/flink/source/TestIcebergSourceWithWatermarkExtractor.java: ########## @@ -0,0 +1,377 @@ +/* + * 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.iceberg.flink.source; + +import static org.apache.flink.connector.testframe.utils.ConnectorTestConstants.DEFAULT_COLLECT_DATA_TIMEOUT; +import static org.assertj.core.api.AssertionsForClassTypes.assertThat; + +import java.io.Serializable; +import java.time.Duration; +import java.time.Instant; +import java.time.LocalDateTime; +import java.time.ZoneId; +import java.util.List; +import java.util.Optional; +import java.util.Set; +import java.util.UUID; +import java.util.concurrent.CompletableFuture; +import java.util.concurrent.TimeUnit; +import java.util.stream.Collectors; +import org.apache.flink.api.common.JobID; +import org.apache.flink.api.common.eventtime.SerializableTimestampAssigner; +import org.apache.flink.api.common.eventtime.WatermarkStrategy; +import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.api.common.typeutils.TypeSerializer; +import org.apache.flink.configuration.Configuration; +import org.apache.flink.core.execution.JobClient; +import org.apache.flink.metrics.Gauge; +import org.apache.flink.runtime.metrics.MetricNames; +import org.apache.flink.runtime.minicluster.RpcServiceSharing; +import org.apache.flink.runtime.testutils.InMemoryReporter; +import org.apache.flink.runtime.testutils.MiniClusterResourceConfiguration; +import org.apache.flink.streaming.api.datastream.DataStream; +import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; +import org.apache.flink.streaming.api.functions.windowing.AllWindowFunction; +import org.apache.flink.streaming.api.operators.collect.CollectResultIterator; +import org.apache.flink.streaming.api.operators.collect.CollectSinkOperator; +import org.apache.flink.streaming.api.operators.collect.CollectSinkOperatorFactory; +import org.apache.flink.streaming.api.operators.collect.CollectStreamSink; +import org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows; +import org.apache.flink.streaming.api.windowing.time.Time; +import org.apache.flink.streaming.api.windowing.windows.TimeWindow; +import org.apache.flink.table.data.RowData; +import org.apache.flink.test.util.MiniClusterWithClientResource; +import org.apache.flink.util.Collector; +import org.apache.iceberg.FileFormat; +import org.apache.iceberg.data.GenericAppenderHelper; +import org.apache.iceberg.data.GenericRecord; +import org.apache.iceberg.data.RandomGenericData; +import org.apache.iceberg.data.Record; +import org.apache.iceberg.flink.HadoopTableResource; +import org.apache.iceberg.flink.RowDataConverter; +import org.apache.iceberg.flink.TestFixtures; +import org.apache.iceberg.flink.source.reader.IcebergTimestampWatermarkExtractor; +import org.apache.iceberg.relocated.com.google.common.collect.ImmutableList; +import org.apache.iceberg.relocated.com.google.common.collect.Lists; +import org.apache.iceberg.relocated.com.google.common.collect.Sets; +import org.apache.iceberg.types.Comparators; +import org.apache.iceberg.util.StructLikeWrapper; +import org.awaitility.Awaitility; +import org.junit.Assert; +import org.junit.ClassRule; +import org.junit.Rule; +import org.junit.Test; +import org.junit.rules.TemporaryFolder; + +public class TestIcebergSourceWithWatermarkExtractor implements Serializable { + private static final InMemoryReporter reporter = InMemoryReporter.createWithRetainedMetrics(); + private static final int PARALLELISM = 4; + private static final String SOURCE_NAME = "IcebergSource"; + private static final int RECORD_NUM_FOR_2_SPLITS = 200; + + @ClassRule public static final TemporaryFolder TEMPORARY_FOLDER = new TemporaryFolder(); + + @Rule + public final MiniClusterWithClientResource miniClusterResource = + new MiniClusterWithClientResource( + new MiniClusterResourceConfiguration.Builder() + .setNumberTaskManagers(1) + .setNumberSlotsPerTaskManager(PARALLELISM) + .setRpcServiceSharing(RpcServiceSharing.DEDICATED) + .setConfiguration(reporter.addToConfiguration(new Configuration())) + .withHaLeadershipControl() + .build()); + + @Rule + public final HadoopTableResource sourceTableResource = + new HadoopTableResource( + TEMPORARY_FOLDER, TestFixtures.DATABASE, TestFixtures.TABLE, TestFixtures.TS_SCHEMA); + + @Test + public void testWindowing() throws Exception { + GenericAppenderHelper dataAppender = appender(); + List<Record> expectedRecords = Lists.newArrayList(); + + // Generate records with the following pattern: + // - File 1 - Later records (Watermark 6000000) + // - Split 1 - 2 records (100, "File-1-100"), (103, "File-1-103") + // - File 2 - First records (Watermark 0) Review Comment: why is important to have multiple row groups in the Parquet? I didn't see we change the target split size during scanning. ########## flink/v1.17/flink/src/test/java/org/apache/iceberg/flink/source/TestIcebergSourceWithWatermarkExtractor.java: ########## @@ -0,0 +1,375 @@ +/* + * 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.iceberg.flink.source; + +import static org.apache.flink.connector.testframe.utils.ConnectorTestConstants.DEFAULT_COLLECT_DATA_TIMEOUT; +import static org.assertj.core.api.AssertionsForClassTypes.assertThat; + +import java.io.Serializable; +import java.time.Duration; +import java.time.Instant; +import java.time.LocalDateTime; +import java.time.ZoneId; +import java.util.List; +import java.util.Optional; +import java.util.Set; +import java.util.UUID; +import java.util.concurrent.CompletableFuture; +import java.util.concurrent.TimeUnit; +import java.util.stream.Collectors; +import org.apache.flink.api.common.JobID; +import org.apache.flink.api.common.eventtime.SerializableTimestampAssigner; +import org.apache.flink.api.common.eventtime.WatermarkStrategy; +import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.api.common.typeutils.TypeSerializer; +import org.apache.flink.configuration.Configuration; +import org.apache.flink.core.execution.JobClient; +import org.apache.flink.metrics.Gauge; +import org.apache.flink.runtime.metrics.MetricNames; +import org.apache.flink.runtime.minicluster.RpcServiceSharing; +import org.apache.flink.runtime.testutils.InMemoryReporter; +import org.apache.flink.runtime.testutils.MiniClusterResourceConfiguration; +import org.apache.flink.streaming.api.datastream.DataStream; +import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; +import org.apache.flink.streaming.api.functions.windowing.AllWindowFunction; +import org.apache.flink.streaming.api.operators.collect.CollectResultIterator; +import org.apache.flink.streaming.api.operators.collect.CollectSinkOperator; +import org.apache.flink.streaming.api.operators.collect.CollectSinkOperatorFactory; +import org.apache.flink.streaming.api.operators.collect.CollectStreamSink; +import org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows; +import org.apache.flink.streaming.api.windowing.time.Time; +import org.apache.flink.streaming.api.windowing.windows.TimeWindow; +import org.apache.flink.table.data.RowData; +import org.apache.flink.test.util.MiniClusterWithClientResource; +import org.apache.flink.util.Collector; +import org.apache.iceberg.FileFormat; +import org.apache.iceberg.data.GenericAppenderHelper; +import org.apache.iceberg.data.GenericRecord; +import org.apache.iceberg.data.RandomGenericData; +import org.apache.iceberg.data.Record; +import org.apache.iceberg.flink.HadoopTableResource; +import org.apache.iceberg.flink.RowDataConverter; +import org.apache.iceberg.flink.TestFixtures; +import org.apache.iceberg.relocated.com.google.common.collect.ImmutableList; +import org.apache.iceberg.relocated.com.google.common.collect.Lists; +import org.apache.iceberg.relocated.com.google.common.collect.Sets; +import org.apache.iceberg.types.Comparators; +import org.apache.iceberg.util.StructLikeWrapper; +import org.awaitility.Awaitility; +import org.junit.Assert; +import org.junit.ClassRule; +import org.junit.Rule; +import org.junit.Test; +import org.junit.rules.TemporaryFolder; + +public class TestIcebergSourceWithWatermarkExtractor implements Serializable { + private static final InMemoryReporter reporter = InMemoryReporter.createWithRetainedMetrics(); + private static final int PARALLELISM = 4; + private static final String SOURCE_NAME = "IcebergSource"; + private static final int RECORD_NUM_FOR_2_SPLITS = 200; + + @ClassRule public static final TemporaryFolder TEMPORARY_FOLDER = new TemporaryFolder(); + + @Rule + public final MiniClusterWithClientResource miniClusterResource = + new MiniClusterWithClientResource( + new MiniClusterResourceConfiguration.Builder() + .setNumberTaskManagers(1) + .setNumberSlotsPerTaskManager(PARALLELISM) + .setRpcServiceSharing(RpcServiceSharing.DEDICATED) + .setConfiguration(reporter.addToConfiguration(new Configuration())) + .withHaLeadershipControl() + .build()); + + @Rule + public final HadoopTableResource sourceTableResource = + new HadoopTableResource( + TEMPORARY_FOLDER, TestFixtures.DATABASE, TestFixtures.TABLE, TestFixtures.TS_SCHEMA); + + @Test + public void testWindowing() throws Exception { + GenericAppenderHelper dataAppender = appender(); + List<Record> expectedRecords = Lists.newArrayList(); + + // Generate records with the following pattern: + // - File 1 - Later records (Watermark 6000000) + // - Split 1 - 2 records (100, "File-1-100"), (103, "File-1-103") + // - File 2 - First records (Watermark 0) + // - Split 1 - 100 records (0, "File-2-0"), (1, "File-2-1"),... + // - Split 2 - 100 records (0, "File-2-0"), (1, "File-2-1"),... + // - File 3 - Parallel write for the first records (Watermark 60000) + // - Split 1 - 2 records (1, "File-3-1"), (3, "File-3-3") + List<Record> batch; + batch = ImmutableList.of(generateRecord(100, "100"), generateRecord(103, "103")); Review Comment: merge with the line above ########## flink/v1.17/flink/src/test/java/org/apache/iceberg/flink/source/TestIcebergSourceWithWatermarkExtractor.java: ########## @@ -0,0 +1,375 @@ +/* + * 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.iceberg.flink.source; + +import static org.apache.flink.connector.testframe.utils.ConnectorTestConstants.DEFAULT_COLLECT_DATA_TIMEOUT; +import static org.assertj.core.api.AssertionsForClassTypes.assertThat; + +import java.io.Serializable; +import java.time.Duration; +import java.time.Instant; +import java.time.LocalDateTime; +import java.time.ZoneId; +import java.util.List; +import java.util.Optional; +import java.util.Set; +import java.util.UUID; +import java.util.concurrent.CompletableFuture; +import java.util.concurrent.TimeUnit; +import java.util.stream.Collectors; +import org.apache.flink.api.common.JobID; +import org.apache.flink.api.common.eventtime.SerializableTimestampAssigner; +import org.apache.flink.api.common.eventtime.WatermarkStrategy; +import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.api.common.typeutils.TypeSerializer; +import org.apache.flink.configuration.Configuration; +import org.apache.flink.core.execution.JobClient; +import org.apache.flink.metrics.Gauge; +import org.apache.flink.runtime.metrics.MetricNames; +import org.apache.flink.runtime.minicluster.RpcServiceSharing; +import org.apache.flink.runtime.testutils.InMemoryReporter; +import org.apache.flink.runtime.testutils.MiniClusterResourceConfiguration; +import org.apache.flink.streaming.api.datastream.DataStream; +import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; +import org.apache.flink.streaming.api.functions.windowing.AllWindowFunction; +import org.apache.flink.streaming.api.operators.collect.CollectResultIterator; +import org.apache.flink.streaming.api.operators.collect.CollectSinkOperator; +import org.apache.flink.streaming.api.operators.collect.CollectSinkOperatorFactory; +import org.apache.flink.streaming.api.operators.collect.CollectStreamSink; +import org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows; +import org.apache.flink.streaming.api.windowing.time.Time; +import org.apache.flink.streaming.api.windowing.windows.TimeWindow; +import org.apache.flink.table.data.RowData; +import org.apache.flink.test.util.MiniClusterWithClientResource; +import org.apache.flink.util.Collector; +import org.apache.iceberg.FileFormat; +import org.apache.iceberg.data.GenericAppenderHelper; +import org.apache.iceberg.data.GenericRecord; +import org.apache.iceberg.data.RandomGenericData; +import org.apache.iceberg.data.Record; +import org.apache.iceberg.flink.HadoopTableResource; +import org.apache.iceberg.flink.RowDataConverter; +import org.apache.iceberg.flink.TestFixtures; +import org.apache.iceberg.relocated.com.google.common.collect.ImmutableList; +import org.apache.iceberg.relocated.com.google.common.collect.Lists; +import org.apache.iceberg.relocated.com.google.common.collect.Sets; +import org.apache.iceberg.types.Comparators; +import org.apache.iceberg.util.StructLikeWrapper; +import org.awaitility.Awaitility; +import org.junit.Assert; +import org.junit.ClassRule; +import org.junit.Rule; +import org.junit.Test; +import org.junit.rules.TemporaryFolder; + +public class TestIcebergSourceWithWatermarkExtractor implements Serializable { + private static final InMemoryReporter reporter = InMemoryReporter.createWithRetainedMetrics(); + private static final int PARALLELISM = 4; + private static final String SOURCE_NAME = "IcebergSource"; + private static final int RECORD_NUM_FOR_2_SPLITS = 200; + + @ClassRule public static final TemporaryFolder TEMPORARY_FOLDER = new TemporaryFolder(); + + @Rule + public final MiniClusterWithClientResource miniClusterResource = + new MiniClusterWithClientResource( + new MiniClusterResourceConfiguration.Builder() + .setNumberTaskManagers(1) + .setNumberSlotsPerTaskManager(PARALLELISM) + .setRpcServiceSharing(RpcServiceSharing.DEDICATED) + .setConfiguration(reporter.addToConfiguration(new Configuration())) + .withHaLeadershipControl() + .build()); + + @Rule + public final HadoopTableResource sourceTableResource = + new HadoopTableResource( + TEMPORARY_FOLDER, TestFixtures.DATABASE, TestFixtures.TABLE, TestFixtures.TS_SCHEMA); + + @Test + public void testWindowing() throws Exception { + GenericAppenderHelper dataAppender = appender(); + List<Record> expectedRecords = Lists.newArrayList(); + + // Generate records with the following pattern: + // - File 1 - Later records (Watermark 6000000) + // - Split 1 - 2 records (100, "File-1-100"), (103, "File-1-103") + // - File 2 - First records (Watermark 0) + // - Split 1 - 100 records (0, "File-2-0"), (1, "File-2-1"),... + // - Split 2 - 100 records (0, "File-2-0"), (1, "File-2-1"),... + // - File 3 - Parallel write for the first records (Watermark 60000) + // - Split 1 - 2 records (1, "File-3-1"), (3, "File-3-3") + List<Record> batch; + batch = ImmutableList.of(generateRecord(100, "100"), generateRecord(103, "103")); + expectedRecords.addAll(batch); + dataAppender.appendToTable(batch); + + batch = Lists.newArrayListWithCapacity(100); + for (int i = 0; i < RECORD_NUM_FOR_2_SPLITS; ++i) { + batch.add(generateRecord(i % 5, "File-2-" + i)); + } + expectedRecords.addAll(batch); + dataAppender.appendToTable(batch); + + batch = ImmutableList.of(generateRecord(1, "File-3-1"), generateRecord(3, "File-3-3")); + expectedRecords.addAll(batch); + dataAppender.appendToTable(batch); + + StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); + env.setParallelism(2); + + DataStream<RowData> stream = + env.fromSource( + sourceBuilder() + .streaming(true) + .monitorInterval(Duration.ofMillis(10)) + .streamingStartingStrategy(StreamingStartingStrategy.TABLE_SCAN_THEN_INCREMENTAL) + .build(), + WatermarkStrategy.<RowData>noWatermarks() + .withTimestampAssigner(new RowDataTimestampAssigner()), + SOURCE_NAME, + TypeInformation.of(RowData.class)); + DataStream<RowData> windowed = + stream + .windowAll(TumblingEventTimeWindows.of(Time.minutes(5))) + .apply( + new AllWindowFunction<RowData, RowData, TimeWindow>() { + @Override + public void apply( + TimeWindow window, Iterable<RowData> values, Collector<RowData> out) { + // Just print all the data to confirm everything has arrived + values.forEach(out::collect); + } + }); + + CollectResultIterator<RowData> resultIterator = addCollectSink(windowed); + + // Start the job + JobClient jobClient = env.executeAsync("Iceberg Source Windowing Test"); + resultIterator.setJobClient(jobClient); + + // Write data so the windows containing test data are closed + dataAppender.appendToTable(ImmutableList.of(generateRecord(1500, "last-record"))); + dataAppender.appendToTable(ImmutableList.of(generateRecord(1500, "last-record"))); + dataAppender.appendToTable(ImmutableList.of(generateRecord(1500, "last-record"))); + + assertRecords(resultIterator, expectedRecords); + } + + @Test + public void testThrottling() throws Exception { + GenericAppenderHelper dataAppender = appender(); + + // Generate records with the following pattern: + // - File 1 - Later records (Watermark 6000000) + // - Split 1 - 2 records (100, "File-1-100"), (103, "File-1-103") + // - File 2 - First records (Watermark 0) + // - Split 1 - 100 records (0, "File-2-0"), (1, "File-2-1"),... + // - Split 2 - 100 records (0, "File-2-0"), (1, "File-2-1"),... + List<Record> batch; + batch = ImmutableList.of(generateRecord(100, "File-1-100"), generateRecord(103, "File-1-103")); + dataAppender.appendToTable(batch); + + batch = Lists.newArrayListWithCapacity(100); + for (int i = 0; i < RECORD_NUM_FOR_2_SPLITS; ++i) { + batch.add(generateRecord(i % 5, "File-2-" + i)); + } + + dataAppender.appendToTable(batch); + + StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); + env.setParallelism(2); + + DataStream<RowData> stream = + env.fromSource( + sourceBuilder() + .streaming(true) + .monitorInterval(Duration.ofMillis(10)) + .streamingStartingStrategy(StreamingStartingStrategy.TABLE_SCAN_THEN_INCREMENTAL) + .build(), + WatermarkStrategy.<RowData>noWatermarks() + .withWatermarkAlignment("iceberg", Duration.ofMinutes(20)), + SOURCE_NAME, + TypeInformation.of(RowData.class)); + + CollectResultIterator<RowData> resultIterator = addCollectSink(stream); + + // Start the job + JobClient jobClient = env.executeAsync("Continuous Iceberg Source Failover Test"); + resultIterator.setJobClient(jobClient); + + // Check that the read the non-blocked data + // The first RECORD_NUM_FOR_2_SPLITS should be read + // 1 or more from the runaway reader should be arrived depending on thread scheduling + waitForRecords(resultIterator, RECORD_NUM_FOR_2_SPLITS + 1); + + // Get the drift metric, wait for it to be created and reach the expected state + // (100 min - 20 min - 0 min) + // Also this validates that the WatermarkAlignment is working + Awaitility.await() + .atMost(120, TimeUnit.SECONDS) + .until(() -> findAlignmentDriftMetric(jobClient.getJobID(), 4800000L).isPresent()); + Gauge<Long> drift = findAlignmentDriftMetric(jobClient.getJobID(), 4800000L).get(); + + // Add some old records with 2 splits, so even if the blocked gets one split, the other reader + // one gets one as well + batch = + ImmutableList.of( + generateRecord(15, "File-3-15"), + generateRecord(16, "File-3-16"), + generateRecord(17, "File-3-17")); + dataAppender.appendToTable(batch); + batch = + ImmutableList.of( + generateRecord(15, "File-4-15"), + generateRecord(16, "File-4-16"), + generateRecord(17, "File-4-17")); + dataAppender.appendToTable(batch); + // The records received will highly depend on scheduling + // We minimally get 3 records from the non-blocked reader + // We might get 1 record from the blocked reader (as part of the previous batch - File-1) + // We might get 3 records form the non-blocked reader if it gets both new splits + waitForRecords(resultIterator, 3); + + // Get the drift metric, wait for it to be created and reach the expected state (100 min - 20 + // min - 15 min) + Awaitility.await().atMost(120, TimeUnit.SECONDS).until(() -> drift.getValue() == 3900000L); + + // Add some new records which should unblock the throttled reader + batch = ImmutableList.of(generateRecord(110, "File-5-110"), generateRecord(111, "File-5-111")); + dataAppender.appendToTable(batch); + // We should get all the records at this point + waitForRecords(resultIterator, 6); + + // Wait for the new drift to decrease below the allowed drift to signal the normal state + Awaitility.await().atMost(120, TimeUnit.SECONDS).until(() -> drift.getValue() < 1200000L); + } + + protected IcebergSource.Builder<RowData> sourceBuilder() { + return IcebergSource.<RowData>builder() + .tableLoader(sourceTableResource.tableLoader()) + .watermarkColumn("ts") + .project(TestFixtures.TS_SCHEMA) + .splitSize(100L); + } + + protected Record generateRecord(int minutes, String str) { + // Override the ts field to create a more realistic situation for event time alignment + Record record = GenericRecord.create(TestFixtures.TS_SCHEMA); + LocalDateTime ts = + LocalDateTime.ofInstant( + Instant.ofEpochMilli(Time.of(minutes, TimeUnit.MINUTES).toMilliseconds()), + ZoneId.of("Z")); + record.setField("ts", ts); + record.setField("str", str); + return record; + } + + /** + * This override is needed because {@link Comparators} used by {@link StructLikeWrapper} retrieves + * Timestamp type using Long type as inner class, while the {@link RandomGenericData} generates + * {@link LocalDateTime} for {@code TimestampType.withoutZone()}. This method normalizes the + * {@link LocalDateTime} to a Long type so that Comparators can continue to work. + */ + protected void assertRecords( + CollectResultIterator<RowData> iterator, List<Record> expectedRecords) throws Exception { + + Set<RowData> received = Sets.newHashSetWithExpectedSize(expectedRecords.size()); + + assertThat( + CompletableFuture.supplyAsync( + () -> { + int count = 0; + while (count < expectedRecords.size() && iterator.hasNext()) { + received.add(iterator.next()); + count++; + } + if (count < expectedRecords.size()) { + throw new IllegalStateException( + String.format("Fail to get %d records.", expectedRecords.size())); + } + return true; + })) + .succeedsWithin(DEFAULT_COLLECT_DATA_TIMEOUT); + + Set<RowData> expected = + expectedRecords.stream() + .map(e -> RowDataConverter.convert(TestFixtures.TS_SCHEMA, e)) + .collect(Collectors.toSet()); + Assert.assertEquals(expected, received); + } + + protected void waitForRecords(CollectResultIterator<RowData> iterator, int num) { + assertThat( + CompletableFuture.supplyAsync( + () -> { + int count = 0; + while (count < num && iterator.hasNext()) { + iterator.next(); + count++; + } + if (count < num) { + throw new IllegalStateException(String.format("Fail to get %d records.", num)); + } + return true; + })) + .succeedsWithin(DEFAULT_COLLECT_DATA_TIMEOUT); + } + + private CollectResultIterator<RowData> addCollectSink(DataStream<RowData> stream) { + TypeSerializer<RowData> serializer = + stream.getType().createSerializer(stream.getExecutionConfig()); + String accumulatorName = "dataStreamCollect_" + UUID.randomUUID(); + CollectSinkOperatorFactory<RowData> factory = + new CollectSinkOperatorFactory<>(serializer, accumulatorName); + CollectSinkOperator<RowData> operator = (CollectSinkOperator<RowData>) factory.getOperator(); + CollectStreamSink<RowData> sink = new CollectStreamSink<>(stream, factory); + sink.name("Data stream collect sink"); + stream.getExecutionEnvironment().addOperator(sink.getTransformation()); + return new CollectResultIterator<>( + operator.getOperatorIdFuture(), + serializer, + accumulatorName, + stream.getExecutionEnvironment().getCheckpointConfig()); + } + + private Optional<Gauge<Long>> findAlignmentDriftMetric(JobID jobID, long withValue) { + String metricsName = SOURCE_NAME + ".*" + MetricNames.WATERMARK_ALIGNMENT_DRIFT; + return reporter.findMetrics(jobID, metricsName).values().stream() + .map(m -> (Gauge<Long>) m) + .filter(m -> m.getValue() == withValue) + .findFirst(); + } + + private GenericAppenderHelper appender() { + // We need to create multiple splits, so we need to generate parquet files with multiple offsets Review Comment: why is it necessary to have multiple splits/row groups in one file? ########## flink/v1.17/flink/src/test/java/org/apache/iceberg/flink/source/TestIcebergSourceWithWatermarkExtractor.java: ########## @@ -0,0 +1,375 @@ +/* + * 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.iceberg.flink.source; + +import static org.apache.flink.connector.testframe.utils.ConnectorTestConstants.DEFAULT_COLLECT_DATA_TIMEOUT; +import static org.assertj.core.api.AssertionsForClassTypes.assertThat; + +import java.io.Serializable; +import java.time.Duration; +import java.time.Instant; +import java.time.LocalDateTime; +import java.time.ZoneId; +import java.util.List; +import java.util.Optional; +import java.util.Set; +import java.util.UUID; +import java.util.concurrent.CompletableFuture; +import java.util.concurrent.TimeUnit; +import java.util.stream.Collectors; +import org.apache.flink.api.common.JobID; +import org.apache.flink.api.common.eventtime.SerializableTimestampAssigner; +import org.apache.flink.api.common.eventtime.WatermarkStrategy; +import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.api.common.typeutils.TypeSerializer; +import org.apache.flink.configuration.Configuration; +import org.apache.flink.core.execution.JobClient; +import org.apache.flink.metrics.Gauge; +import org.apache.flink.runtime.metrics.MetricNames; +import org.apache.flink.runtime.minicluster.RpcServiceSharing; +import org.apache.flink.runtime.testutils.InMemoryReporter; +import org.apache.flink.runtime.testutils.MiniClusterResourceConfiguration; +import org.apache.flink.streaming.api.datastream.DataStream; +import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; +import org.apache.flink.streaming.api.functions.windowing.AllWindowFunction; +import org.apache.flink.streaming.api.operators.collect.CollectResultIterator; +import org.apache.flink.streaming.api.operators.collect.CollectSinkOperator; +import org.apache.flink.streaming.api.operators.collect.CollectSinkOperatorFactory; +import org.apache.flink.streaming.api.operators.collect.CollectStreamSink; +import org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows; +import org.apache.flink.streaming.api.windowing.time.Time; +import org.apache.flink.streaming.api.windowing.windows.TimeWindow; +import org.apache.flink.table.data.RowData; +import org.apache.flink.test.util.MiniClusterWithClientResource; +import org.apache.flink.util.Collector; +import org.apache.iceberg.FileFormat; +import org.apache.iceberg.data.GenericAppenderHelper; +import org.apache.iceberg.data.GenericRecord; +import org.apache.iceberg.data.RandomGenericData; +import org.apache.iceberg.data.Record; +import org.apache.iceberg.flink.HadoopTableResource; +import org.apache.iceberg.flink.RowDataConverter; +import org.apache.iceberg.flink.TestFixtures; +import org.apache.iceberg.relocated.com.google.common.collect.ImmutableList; +import org.apache.iceberg.relocated.com.google.common.collect.Lists; +import org.apache.iceberg.relocated.com.google.common.collect.Sets; +import org.apache.iceberg.types.Comparators; +import org.apache.iceberg.util.StructLikeWrapper; +import org.awaitility.Awaitility; +import org.junit.Assert; +import org.junit.ClassRule; +import org.junit.Rule; +import org.junit.Test; +import org.junit.rules.TemporaryFolder; + +public class TestIcebergSourceWithWatermarkExtractor implements Serializable { + private static final InMemoryReporter reporter = InMemoryReporter.createWithRetainedMetrics(); + private static final int PARALLELISM = 4; + private static final String SOURCE_NAME = "IcebergSource"; + private static final int RECORD_NUM_FOR_2_SPLITS = 200; + + @ClassRule public static final TemporaryFolder TEMPORARY_FOLDER = new TemporaryFolder(); + + @Rule + public final MiniClusterWithClientResource miniClusterResource = + new MiniClusterWithClientResource( + new MiniClusterResourceConfiguration.Builder() + .setNumberTaskManagers(1) + .setNumberSlotsPerTaskManager(PARALLELISM) + .setRpcServiceSharing(RpcServiceSharing.DEDICATED) + .setConfiguration(reporter.addToConfiguration(new Configuration())) + .withHaLeadershipControl() + .build()); + + @Rule + public final HadoopTableResource sourceTableResource = + new HadoopTableResource( + TEMPORARY_FOLDER, TestFixtures.DATABASE, TestFixtures.TABLE, TestFixtures.TS_SCHEMA); + + @Test + public void testWindowing() throws Exception { + GenericAppenderHelper dataAppender = appender(); + List<Record> expectedRecords = Lists.newArrayList(); + + // Generate records with the following pattern: + // - File 1 - Later records (Watermark 6000000) + // - Split 1 - 2 records (100, "File-1-100"), (103, "File-1-103") + // - File 2 - First records (Watermark 0) + // - Split 1 - 100 records (0, "File-2-0"), (1, "File-2-1"),... + // - Split 2 - 100 records (0, "File-2-0"), (1, "File-2-1"),... + // - File 3 - Parallel write for the first records (Watermark 60000) + // - Split 1 - 2 records (1, "File-3-1"), (3, "File-3-3") + List<Record> batch; + batch = ImmutableList.of(generateRecord(100, "100"), generateRecord(103, "103")); + expectedRecords.addAll(batch); + dataAppender.appendToTable(batch); + + batch = Lists.newArrayListWithCapacity(100); + for (int i = 0; i < RECORD_NUM_FOR_2_SPLITS; ++i) { + batch.add(generateRecord(i % 5, "File-2-" + i)); + } + expectedRecords.addAll(batch); + dataAppender.appendToTable(batch); + + batch = ImmutableList.of(generateRecord(1, "File-3-1"), generateRecord(3, "File-3-3")); + expectedRecords.addAll(batch); + dataAppender.appendToTable(batch); + + StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); + env.setParallelism(2); + + DataStream<RowData> stream = + env.fromSource( + sourceBuilder() + .streaming(true) + .monitorInterval(Duration.ofMillis(10)) + .streamingStartingStrategy(StreamingStartingStrategy.TABLE_SCAN_THEN_INCREMENTAL) + .build(), + WatermarkStrategy.<RowData>noWatermarks() + .withTimestampAssigner(new RowDataTimestampAssigner()), + SOURCE_NAME, + TypeInformation.of(RowData.class)); + DataStream<RowData> windowed = + stream + .windowAll(TumblingEventTimeWindows.of(Time.minutes(5))) + .apply( + new AllWindowFunction<RowData, RowData, TimeWindow>() { + @Override + public void apply( + TimeWindow window, Iterable<RowData> values, Collector<RowData> out) { + // Just print all the data to confirm everything has arrived + values.forEach(out::collect); + } + }); + + CollectResultIterator<RowData> resultIterator = addCollectSink(windowed); + + // Start the job + JobClient jobClient = env.executeAsync("Iceberg Source Windowing Test"); + resultIterator.setJobClient(jobClient); + + // Write data so the windows containing test data are closed + dataAppender.appendToTable(ImmutableList.of(generateRecord(1500, "last-record"))); + dataAppender.appendToTable(ImmutableList.of(generateRecord(1500, "last-record"))); + dataAppender.appendToTable(ImmutableList.of(generateRecord(1500, "last-record"))); + + assertRecords(resultIterator, expectedRecords); + } + + @Test + public void testThrottling() throws Exception { + GenericAppenderHelper dataAppender = appender(); + + // Generate records with the following pattern: + // - File 1 - Later records (Watermark 6000000) + // - Split 1 - 2 records (100, "File-1-100"), (103, "File-1-103") + // - File 2 - First records (Watermark 0) + // - Split 1 - 100 records (0, "File-2-0"), (1, "File-2-1"),... + // - Split 2 - 100 records (0, "File-2-0"), (1, "File-2-1"),... + List<Record> batch; + batch = ImmutableList.of(generateRecord(100, "File-1-100"), generateRecord(103, "File-1-103")); + dataAppender.appendToTable(batch); + + batch = Lists.newArrayListWithCapacity(100); + for (int i = 0; i < RECORD_NUM_FOR_2_SPLITS; ++i) { + batch.add(generateRecord(i % 5, "File-2-" + i)); + } + + dataAppender.appendToTable(batch); + + StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); + env.setParallelism(2); + + DataStream<RowData> stream = + env.fromSource( + sourceBuilder() + .streaming(true) + .monitorInterval(Duration.ofMillis(10)) + .streamingStartingStrategy(StreamingStartingStrategy.TABLE_SCAN_THEN_INCREMENTAL) + .build(), + WatermarkStrategy.<RowData>noWatermarks() + .withWatermarkAlignment("iceberg", Duration.ofMinutes(20)), + SOURCE_NAME, + TypeInformation.of(RowData.class)); + + CollectResultIterator<RowData> resultIterator = addCollectSink(stream); Review Comment: why don't we use this method from `DataStream`? ``` public CloseableIterator<T> executeAndCollect(String jobExecutionName) throws Exception { return executeAndCollectWithClient(jobExecutionName).iterator; } ``` ########## flink/v1.17/flink/src/test/java/org/apache/iceberg/flink/source/TestIcebergSourceWithWatermarkExtractor.java: ########## @@ -0,0 +1,377 @@ +/* + * 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.iceberg.flink.source; + +import static org.apache.flink.connector.testframe.utils.ConnectorTestConstants.DEFAULT_COLLECT_DATA_TIMEOUT; +import static org.assertj.core.api.AssertionsForClassTypes.assertThat; + +import java.io.Serializable; +import java.time.Duration; +import java.time.Instant; +import java.time.LocalDateTime; +import java.time.ZoneId; +import java.util.List; +import java.util.Optional; +import java.util.Set; +import java.util.UUID; +import java.util.concurrent.CompletableFuture; +import java.util.concurrent.TimeUnit; +import java.util.stream.Collectors; +import org.apache.flink.api.common.JobID; +import org.apache.flink.api.common.eventtime.SerializableTimestampAssigner; +import org.apache.flink.api.common.eventtime.WatermarkStrategy; +import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.api.common.typeutils.TypeSerializer; +import org.apache.flink.configuration.Configuration; +import org.apache.flink.core.execution.JobClient; +import org.apache.flink.metrics.Gauge; +import org.apache.flink.runtime.metrics.MetricNames; +import org.apache.flink.runtime.minicluster.RpcServiceSharing; +import org.apache.flink.runtime.testutils.InMemoryReporter; +import org.apache.flink.runtime.testutils.MiniClusterResourceConfiguration; +import org.apache.flink.streaming.api.datastream.DataStream; +import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; +import org.apache.flink.streaming.api.functions.windowing.AllWindowFunction; +import org.apache.flink.streaming.api.operators.collect.CollectResultIterator; +import org.apache.flink.streaming.api.operators.collect.CollectSinkOperator; +import org.apache.flink.streaming.api.operators.collect.CollectSinkOperatorFactory; +import org.apache.flink.streaming.api.operators.collect.CollectStreamSink; +import org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows; +import org.apache.flink.streaming.api.windowing.time.Time; +import org.apache.flink.streaming.api.windowing.windows.TimeWindow; +import org.apache.flink.table.data.RowData; +import org.apache.flink.test.util.MiniClusterWithClientResource; +import org.apache.flink.util.Collector; +import org.apache.iceberg.FileFormat; +import org.apache.iceberg.data.GenericAppenderHelper; +import org.apache.iceberg.data.GenericRecord; +import org.apache.iceberg.data.RandomGenericData; +import org.apache.iceberg.data.Record; +import org.apache.iceberg.flink.HadoopTableResource; +import org.apache.iceberg.flink.RowDataConverter; +import org.apache.iceberg.flink.TestFixtures; +import org.apache.iceberg.flink.source.reader.IcebergTimestampWatermarkExtractor; +import org.apache.iceberg.relocated.com.google.common.collect.ImmutableList; +import org.apache.iceberg.relocated.com.google.common.collect.Lists; +import org.apache.iceberg.relocated.com.google.common.collect.Sets; +import org.apache.iceberg.types.Comparators; +import org.apache.iceberg.util.StructLikeWrapper; +import org.awaitility.Awaitility; +import org.junit.Assert; +import org.junit.ClassRule; +import org.junit.Rule; +import org.junit.Test; +import org.junit.rules.TemporaryFolder; + +public class TestIcebergSourceWithWatermarkExtractor implements Serializable { + private static final InMemoryReporter reporter = InMemoryReporter.createWithRetainedMetrics(); + private static final int PARALLELISM = 4; + private static final String SOURCE_NAME = "IcebergSource"; + private static final int RECORD_NUM_FOR_2_SPLITS = 200; + + @ClassRule public static final TemporaryFolder TEMPORARY_FOLDER = new TemporaryFolder(); + + @Rule + public final MiniClusterWithClientResource miniClusterResource = + new MiniClusterWithClientResource( + new MiniClusterResourceConfiguration.Builder() + .setNumberTaskManagers(1) + .setNumberSlotsPerTaskManager(PARALLELISM) + .setRpcServiceSharing(RpcServiceSharing.DEDICATED) + .setConfiguration(reporter.addToConfiguration(new Configuration())) + .withHaLeadershipControl() + .build()); + + @Rule + public final HadoopTableResource sourceTableResource = + new HadoopTableResource( + TEMPORARY_FOLDER, TestFixtures.DATABASE, TestFixtures.TABLE, TestFixtures.TS_SCHEMA); + + @Test + public void testWindowing() throws Exception { + GenericAppenderHelper dataAppender = appender(); + List<Record> expectedRecords = Lists.newArrayList(); + + // Generate records with the following pattern: + // - File 1 - Later records (Watermark 6000000) + // - Split 1 - 2 records (100, "File-1-100"), (103, "File-1-103") + // - File 2 - First records (Watermark 0) + // - Split 1 - 100 records (0, "File-2-0"), (1, "File-2-1"),... + // - Split 2 - 100 records (0, "File-2-0"), (1, "File-2-1"),... + // - File 3 - Parallel write for the first records (Watermark 60000) + // - Split 1 - 2 records (1, "File-3-1"), (3, "File-3-3") + List<Record> batch; + batch = ImmutableList.of(generateRecord(100, "100"), generateRecord(103, "103")); + expectedRecords.addAll(batch); + dataAppender.appendToTable(batch); + + batch = Lists.newArrayListWithCapacity(100); + for (int i = 0; i < RECORD_NUM_FOR_2_SPLITS; ++i) { + batch.add(generateRecord(i % 5, "File-2-" + i)); Review Comment: I am still not sure why we need the mod 5 here. can't we just simply increment the timestamp? -- This is an automated message from the Apache Git Service. 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