reswqa commented on code in PR #26118: URL: https://github.com/apache/flink/pull/26118#discussion_r1946022534
########## flink-examples/flink-examples-streaming/src/main/java/org/apache/flink/streaming/examples/dsv2/windowing/CountProductSalesWindowing.java: ########## @@ -0,0 +1,235 @@ +/* + * 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.examples.dsv2.windowing; + +import org.apache.flink.api.common.serialization.SimpleStringEncoder; +import org.apache.flink.api.common.state.StateDeclaration; +import org.apache.flink.api.common.state.StateDeclarations; +import org.apache.flink.api.common.state.ValueStateDeclaration; +import org.apache.flink.api.common.state.v2.ValueState; +import org.apache.flink.api.common.typeinfo.TypeDescriptors; +import org.apache.flink.api.connector.dsv2.DataStreamV2SourceUtils; +import org.apache.flink.api.connector.dsv2.WrappedSink; +import org.apache.flink.api.java.tuple.Tuple2; +import org.apache.flink.api.java.tuple.Tuple3; +import org.apache.flink.configuration.MemorySize; +import org.apache.flink.connector.file.sink.FileSink; +import org.apache.flink.core.fs.Path; +import org.apache.flink.datastream.api.ExecutionEnvironment; +import org.apache.flink.datastream.api.builtin.BuiltinFuncs; +import org.apache.flink.datastream.api.common.Collector; +import org.apache.flink.datastream.api.context.PartitionedContext; +import org.apache.flink.datastream.api.extension.eventtime.EventTimeExtension; +import org.apache.flink.datastream.api.extension.window.context.OneInputWindowContext; +import org.apache.flink.datastream.api.extension.window.function.OneInputWindowStreamProcessFunction; +import org.apache.flink.datastream.api.extension.window.strategy.WindowStrategy; +import org.apache.flink.datastream.api.stream.NonKeyedPartitionStream; +import org.apache.flink.streaming.api.functions.sink.PrintSink; +import org.apache.flink.streaming.api.functions.sink.filesystem.rollingpolicies.DefaultRollingPolicy; +import org.apache.flink.streaming.examples.dsv2.windowing.util.CountProductSalesWindowingData; +import org.apache.flink.util.ParameterTool; + +import java.time.Duration; +import java.util.Arrays; +import java.util.Set; + +/** + * Example illustrating how to use Window to count the sales of each product in each hour by + * DataStream API V2. + * + * <p>The input is a [list of] order, each order is a tuple of productId and orderTime. Review Comment: ```suggestion * <p>The input is a list of order, each order is a tuple of productId and orderTime. ``` ########## flink-examples/flink-examples-streaming/src/main/java/org/apache/flink/streaming/examples/dsv2/eventtime/util/StatisticNewsClickNumberData.java: ########## @@ -0,0 +1,631 @@ +/* + * 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.examples.dsv2.eventtime.util; + +import org.apache.flink.streaming.examples.dsv2.eventtime.StatisticNewsClickNumber.NewsEvent; +import org.apache.flink.streaming.examples.dsv2.eventtime.StatisticNewsClickNumber.NewsEventType; + +public class StatisticNewsClickNumberData { Review Comment: java doc? ########## flink-examples/flink-examples-streaming/src/main/java/org/apache/flink/streaming/examples/dsv2/eventtime/StatisticNewsClickNumber.java: ########## @@ -0,0 +1,278 @@ +/* + * 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.examples.dsv2.eventtime; + +import org.apache.flink.api.common.serialization.SimpleStringEncoder; +import org.apache.flink.api.connector.dsv2.DataStreamV2SourceUtils; +import org.apache.flink.api.connector.dsv2.WrappedSink; +import org.apache.flink.configuration.MemorySize; +import org.apache.flink.connector.file.sink.FileSink; +import org.apache.flink.core.fs.Path; +import org.apache.flink.datastream.api.ExecutionEnvironment; +import org.apache.flink.datastream.api.common.Collector; +import org.apache.flink.datastream.api.context.PartitionedContext; +import org.apache.flink.datastream.api.extension.eventtime.EventTimeExtension; +import org.apache.flink.datastream.api.extension.eventtime.function.OneInputEventTimeStreamProcessFunction; +import org.apache.flink.datastream.api.extension.eventtime.timer.EventTimeManager; +import org.apache.flink.datastream.api.stream.NonKeyedPartitionStream; +import org.apache.flink.streaming.api.functions.sink.PrintSink; +import org.apache.flink.streaming.api.functions.sink.filesystem.rollingpolicies.DefaultRollingPolicy; +import org.apache.flink.streaming.examples.dsv2.eventtime.util.StatisticNewsClickNumberData; +import org.apache.flink.util.ParameterTool; + +import java.time.Duration; +import java.util.ArrayList; +import java.util.Arrays; +import java.util.HashMap; +import java.util.List; +import java.util.Map; + +/** + * This example illustrates how to count the number of clicks on each news at 1 minute, 5 minutes, + * 10 minutes, and 1 hour after news publication. + * + * <p>The input consists of a series of {@link NewsEvent}s, which fall into two categories: news + * releases and news clicks. Each {@link NewsEvent} contains three components: the event type, the + * news ID and the timestamp. Notably, there is only one event of type {@link NewsEventType#RELEASE} + * for each news. + * + * <p>Usage: + * + * <ul> + * <li><code>--output <path></code>The output directory where the Job will write the + * results. If no output path is provided, the Job will print the results to <code>stdout + * </code>. + * </ul> + * + * <p>This example shows how to: + * + * <ul> + * <li>Usage of Event Time extension in DataStream API V2 + * </ul> + * + * <p>Please note that if you intend to run this example in an IDE, you must first add the following + * VM options: "--add-opens=java.base/java.util=ALL-UNNAMED". This is necessary because the module + * system in JDK 17+ restricts some reflection operations. + * + * <p>Please note that the DataStream API V2 is a new set of APIs, to gradually replace the original + * DataStream API. It is currently in the experimental stage and is not fully available for + * production. + */ +public class StatisticNewsClickNumber { + + // we will count the number of clicks within 1min/5min/10min/30min/1hour after the news release + private static final Duration[] TIMES_AFTER_NEWS_RELEASE = + new Duration[] { + Duration.ofMinutes(1), + Duration.ofMinutes(5), + Duration.ofMinutes(10), + Duration.ofMinutes(30), + Duration.ofHours(1) + }; + + /** + * The type of {@link NewsEvent}, note that only one event of type {@link NewsEventType#RELEASE} + * for each news. + */ + public enum NewsEventType { + RELEASE, + CLICK + } + + /** + * The {@link NewsEvent} represents an event on news, containing the event type, news id and the + * timestamp. + */ + public static class NewsEvent { + public NewsEventType type; + public long newsId; + public long timestamp; + + public NewsEvent(NewsEventType type, long newsId, long timestamp) { + this.type = type; + this.newsId = newsId; + this.timestamp = timestamp; + } + } + + /** + * The {@link NewsClickNumber} represents the number of clicks on news within a specified + * duration following its release. For example, NewsClickNumber{newsId="12345678", + * timeAfterRelease=60000, clickNumber=132} indicates that the news "12345678" has been clicked + * 132 times within 60,000 milliseconds after its release. + */ + public static class NewsClickNumber { + public long newsId; + public long timeAfterRelease; + public long clickNumber; + + public NewsClickNumber(long newsId, long timeAfterRelease, long clickCount) { + this.newsId = newsId; + this.timeAfterRelease = timeAfterRelease; + this.clickNumber = clickCount; + } + + public String toString() { + return String.format( + "(%d,%d,%d)", this.newsId, this.timeAfterRelease, this.clickNumber); + } + } + + public static void main(String[] args) throws Exception { + // parse the parameters + final ParameterTool params = ParameterTool.fromArgs(args); + final boolean fileOutput = params.has("output"); + + // obtain execution environment + ExecutionEnvironment env = ExecutionEnvironment.getInstance(); + + // the input consists of a series of {code NewsEvent}s, which include two types: news + // release event and news click event. + NonKeyedPartitionStream<NewsEvent> source = + env.fromSource( + DataStreamV2SourceUtils.fromData( + Arrays.asList(StatisticNewsClickNumberData.NEWS_EVENTS)), + "news event source"); + + NonKeyedPartitionStream<NewsClickNumber> clickNumberStream = + // extract event time and generate the event time watermark + source.process( + // the timestamp field of the input is considered to be the + // event time + EventTimeExtension.<NewsEvent>newWatermarkGeneratorBuilder( + event -> event.timestamp) + // generate event time watermarks every 200ms + .periodicWatermark(Duration.ofMillis(200)) + // if the input is idle for more than 30 seconds, it + // is ignored during the event time watermark + // combination process + .withIdleness(Duration.ofSeconds(30)) + // set the maximum out-of-order time of the event to + // 30 seconds, meaning that if an event is received + // at 12:00:00, then no further events should be + // received earlier than 11:59:30 + .withMaxOutOfOrderTime(Duration.ofSeconds(10)) + // build the event time watermark generator as + // ProcessFunction + .buildAsProcessFunction()) + // key by the news id + .keyBy(event -> event.newsId) + // count the click number of each news + .process( + EventTimeExtension.wrapProcessFunction( + new CountNewsClickNumberProcessFunction())); + + if (fileOutput) { + // write joined results to file Review Comment: joined? -- This is an automated message from the Apache Git Service. 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