Apache flink Flink中算子并行性的几个难题,apache-flink,flink-streaming,Apache Flink,Flink Streaming,我刚刚获得了以下并行性示例，并提出了一些相关问题： setParallelism（5）是将Parallelism 5设置为仅求和还是同时设置为flatMap和sum 我们是否可以将不同的并行度分别设置为不同的运算符，例如flatMap和sum？ x4 bus timetable whitby This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.Sets the given WatermarkStrategy on this consumer. These will be used to assign timestamps to records and generates watermarks to signal event time progress. Running timestamp extractors / watermark generators directly inside the Kafka source (which you can do by using this method), per Kafka partition, allows users to let them exploit the per-partition characteristics. wegmans grocery list template Flink消费kafka消息实战欢迎访问我的GitHub本次实战的内容是开发Flink应用，消费来自kafka的消息，进行实时计算；环境情况本次实战用到了三台机器，它们的IP地址和身份如下表所示： IP地址 身份 备注 192.168.1.104 http请求发起者 此机器上安装了Apa...We'll see later an example. Both together, TimestampAssigner and WatermarkGenerator form a WatermarkStrategy which defines how to generate Watermarks in the stream sources. Use case example. Let's illustrate this with an example. Our flink job will receive readings from different sensors. Every sensor will send measures for each 100ms. factory five gtm top speed Apache flink 如果我在Flink 1.10中将时间特性设置为IngestionTime，是否需要设置assignTimestampsAndWatermarks？ apache-flink; Apache flink flink检查点如何帮助故障恢复 apache-flink; Apache flink 无法读取flink中前缀为的s3文件 apache-flink; Apache flink Flink禁用操作员链接性能影响 apache-flinkYou need to use WatermarkStrategy.forMonotonousTimestamps:. import org.apache.flink.api.common.eventtime.SerializableTimestampAssigner; import …Apache flink 如果我在Flink 1.10中将时间特性设置为IngestionTime，是否需要设置assignTimestampsAndWatermarks？ apache-flink; Apache flink flink检查点如何帮助故障恢复 apache-flink; Apache flink 无法读取flink中前缀为的s3文件 apache-flink; Apache flink Flink禁用操作员链接性能影响 apache-flink 23 нояб. 2021 г. ... flink 1.13.1 use assignTimestampsAndWatermarks error ... <modelVersion>4.0.0</modelVersion> <groupId>org.example</groupId> ... custom motorcycle fairingsPlease use assignTimestampsAndWatermarks(AssignerWithPeriodicWatermarks) of ... For example, if the upstream operation has parallelism 2 and the downstream ... hisense tv slow to respond to remote Jan 20, 2017 · we are using flink to process data from kafka topic, the data in kafka topic comes from massive IoT devices, we hash those devices into different partition based on hash code of device ID, so each partition has event data from many devices, and those event data contains "timestamp", "value", "deviceID" and so on. we want to use flink to do ... Flink窗口触发器以及自定义触发器. Contribute to shirukai/flink-examples-trigger development by creating an account on GitHub. Flink中Table API和SQL 完整使用下一、操作案例1、快速上手2、flink流处理环境3、统计每个用户的PV值4、窗口TOP N 统计一段时间内的（前两名）活跃用户5、聚合操作函数6、UdfTest_AggregateFunction7、调用UDF进行查询转换8、表聚合函数9、实现自定义的函…You need to use WatermarkStrategy.forMonotonousTimestamps:. import org.apache.flink.api.common.eventtime.SerializableTimestampAssigner; import …10 июл. 2016 г. ... Extreme Wind (wind speed above 110 mph). Source Code. You can find the full source code for the example in my git repository at: https://github. highway 92 news Apache flink 如果我在Flink 1.10中将时间特性设置为IngestionTime，是否需要设置assignTimestampsAndWatermarks？ apache-flink; Apache flink flink检查点如何帮助故障恢复 apache-flink; Apache flink 无法读取flink中前缀为的s3文件 apache-flink; Apache flink Flink禁用操作员链接性能影响 apache-flink The streaming examples TopSpeedWindowing demonstrates that the generating watermarks function part uses the deprecated DataStream#assignTimestampsAndWatermarks (AscendingTimestampExtractor), which is recommended in the relevant Flink docs is recommended to use DataStream#assignTimestampsAndWatermarks (WatermarkStrategy) instead.Flink中Table API和SQL 完整使用下一、操作案例1、快速上手2、flink流处理环境3、统计每个用户的PV值4、窗口TOP N 统计一段时间内的（前两名）活跃用户5、聚合操作函数6、UdfTest_AggregateFunction7、调用UDF进行查询转换8、表聚合函数9、实现自定义的函… stolas voice actor helluva boss Generating Watermarks # In this section you will learn about the APIs that Flink provides for working with event time timestamps and watermarks. For an introduction to event time, processing time, and ingestion time, please refer to the introduction to event time. Introduction to Watermark Strategies # In order to work with event time, Flink needs to know the events timestamps, meaning each ... assignTimestampsAndWatermarks( new AssignerWithPeriodicWatermarks<Tuple4<String, String, String, String>>() ... With my understanding when the data comes similar to above sample, then … goldman sachs swe intern reddit Flink性能调优的第一步，就是为任务分配合适的资源，在一定范围内，增加资源的分配与性能的提升是成正比的，实现了最优的资源配置后，在此基础上再考虑进行后面论述的性能调优策略。. 提交方式主要是yarn-per-job，资源的分配在使用脚本提交Flink任务时进行 ...DataStream model = trainingData .assignTimestampsAndWatermarks(new LinearTimestamp()) ... origin: com.alibaba.blink/flink-examples-streaming ... happy paws swimming For this example we expect messages to have the format value,timestamp where value is the message and timestamp is the time at which this message was generated at the source. Since we are now building a Processing Time based system, the code below ignores the timestamp part.16 мар. 2017 г. ... <p>This method creates watermarks periodically (for example every ... assignTimestampsAndWatermarks( AssignerWithPeriodicWatermarks<T> ...Flink性能调优的第一步，就是为任务分配合适的资源，在一定范围内，增加资源的分配与性能的提升是成正比的，实现了最优的资源配置后，在此基础上再考虑进行后面论述的性能调优策略。. 提交方式主要是yarn-per-job，资源的分配在使用脚本提交Flink任务时进行 ... interchain gmbh 26 нояб. 2020 г. ... For example, event time is required to calculate the stock price trend for the first hour of a ... assignTimestampsAndWatermarks(strategy); ...Oct 28, 2022 · The assignTimestampsAndWatermarks() receives the main stream and assigns timestamps and watermarks based on the strategy specified in params, at the end, it will return SingleOutputStreamOperator which is the updated stream with timestamps and watermarks generated. The following examples show how to use org.apache.flink.streaming.api.datastream.DataStream #assignTimestampsAndWatermarks () . You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.Sets the given WatermarkStrategy on this consumer. These will be used to assign timestamps to records and generates watermarks to signal event time progress. Running timestamp extractors / watermark generators directly inside the Kafka source (which you can do by using this method), per Kafka partition, allows users to let them exploit the per-partition characteristics.23 нояб. 2021 г. ... flink 1.13.1 use assignTimestampsAndWatermarks error ... <modelVersion>4.0.0</modelVersion> <groupId>org.example</groupId> ...24 авг. 2022 г. ... assignTimestampsAndWatermarks(new SensorTimeAssigner()) ... In your example, if the parallelism is anycodings_flink-streaming two, ... 200 bhp to hp java - In flink when I am using assignTimestampsAndWatermarks() with interface AscendingTimestampExtractor()..i am getting deprecation message java Best coding in the world All kind of code solutionSets the given WatermarkStrategy on this consumer. These will be used to assign timestamps to records and generates watermarks to signal event time progress. Running timestamp extractors / watermark generators directly inside the Kafka source (which you can do by using this method), per Kafka partition, allows users to let them exploit the per-partition characteristics.1. Overview. Apache Flink is a Big Data processing framework that allows programmers to process the vast amount of data in a very efficient and scalable manner. In this article, we'll introduce some of the core API concepts and standard data transformations available in the Apache Flink Java API. The fluent style of this API makes it easy to ... dodge dart grill shutter delete Please use assignTimestampsAndWatermarks(AssignerWithPeriodicWatermarks) of ... For example, if the upstream operation has parallelism 2 and the downstream ...java - In flink when I am using assignTimestampsAndWatermarks() with interface AscendingTimestampExtractor()..i am getting deprecation message java Best coding in the world All kind of code solution Oct 31, 2022 · 实时即未来，大数据项目车联网之驾驶行程采样入库（15）. 【摘要】 theme: smartblue持续创作，加速成长！. 这是我参与「掘金日新计划 · 10 月更文挑战」的第15天，点击查看活动详情 1. 驾驶行程采样入库l 驾驶行程数据筛选入库，为第五节的行程指标采样分析的 ... The following examples show how to use org.apache.flink.streaming.api.datastream.DataStream #assignTimestampsAndWatermarks () . You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar. lakefront cabin rentals in wisconsin Sets the given WatermarkStrategy on this consumer. These will be used to assign timestamps to records and generates watermarks to signal event time progress. Running timestamp extractors / watermark generators directly inside the Kafka source (which you can do by using this method), per Kafka partition, allows users to let them exploit the per-partition characteristics.java - In flink when I am using assignTimestampsAndWatermarks() with interface AscendingTimestampExtractor()..i am getting deprecation message java Best coding in the world All kind of code solution mustang project car for sale Hi! Currently I am using Flink 1.4.2. class TSWM implements AssignerWithPunctuatedWatermarks<POJO> { long maxTS = Long.MIN_VALUE; @Override …Flink的SQL、Table的实操. 在Flink提供的多层级API中，核心是DataStream API，这是我们开发流处理应用的基本途径；底层则是所谓的处理函数（process function），可以访问事件的时间信息、注册定时器、自定义状态，进行有状态的流处理。For example, if the timestamps are strictly ascending per Kafka partition, they will not be strictly ascending in the resulting Flink DataStream, if the parallel source subtask reads more than one partition. Common watermark generation patterns can be found as static methods in the WatermarkStrategy class. Returns: old testament lds Apache flink Flink中算子并行性的几个难题,apache-flink,flink-streaming,Apache Flink,Flink Streaming,我刚刚获得了以下并行性示例，并提出了一些相关问题： setParallelism（5）是将Parallelism 5设置为仅求和还是同时设置为flatMap和sum 我们是否可以将不同的并行度分别设置为不同的运算符，例如flatMap和sum？Flink消费kafka消息实战欢迎访问我的GitHub本次实战的内容是开发Flink应用，消费来自kafka的消息，进行实时计算；环境情况本次实战用到了三台机器，它们的IP地址和身份如下表所示： IP地址 身份 备注 192.168.1.104 http请求发起者 此机器上安装了Apa...The following examples show how to use org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer09#assignTimestampsAndWatermarks() . You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. indiana university login Apache flink Flink中算子并行性的几个难题,apache-flink,flink-streaming,Apache Flink,Flink Streaming,我刚刚获得了以下并行性示例，并提出了一些相关问题： setParallelism（5）是将Parallelism 5设置为仅求和还是同时设置为flatMap和sum 我们是否可以将不同的并行度分别设置为不同的运算符，例如flatMap和sum？ rust valley restorers location Apache flink Flink中算子并行性的几个难题,apache-flink,flink-streaming,Apache Flink,Flink Streaming,我刚刚获得了以下并行性示例，并提出了一些相关问题： setParallelism（5）是将Parallelism 5设置为仅求和还是同时设置为flatMap和sum 我们是否可以将不同的并行度分别设置为不同的运算符，例如flatMap和sum？Sets the given WatermarkStrategy on this consumer. These will be used to assign timestamps to records and generates watermarks to signal event time progress. Running timestamp extractors / watermark generators directly inside the Kafka source (which you can do by using this method), per Kafka partition, allows users to let them exploit the per-partition characteristics. parameterTool.getProperties()) .assignTimestampsAndWatermarks(new CustomWatermarkExtractor())) A class for turning a byte stream into a character stream. Data read from the source input stream isThe following examples show how to use org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer09#assignTimestampsAndWatermarks() . You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. beamsville homes for sale The following examples show how to use org.apache.flink.streaming.api.datastream.DataStream#assignTimestampsAndWatermarks() . You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar. The examples in this tutorial demonstrate how to use the Flink Connector ... assignTimestampsAndWatermarks(watermarkStrategy) // Define how the event time ...For example, if the upstream operation has parallelism 2 and the downstream operation has parallelism 4, then one upstream operation would distribute elements to two downstream operations while the other upstream operation would distribute to the other two downstream operations. ... assignTimestampsAndWatermarks(AssignerWithPeriodicWatermarks ... epic fishing trips Aug 17, 2021 · Please mind that the UUID generation mechanism isn't perfect, as it allows duplicates. However, this is enough for the scope of this example. We want to save our Backup object as JSON to Kafka, so we need to create our SerializationSchema: fordyce spots under eyes The streaming examples TopSpeedWindowing demonstrates that the generating watermarks function part uses the deprecated DataStream#assignTimestampsAndWatermarks (AscendingTimestampExtractor), which is recommended in the relevant Flink docs is recommended to use DataStream#assignTimestampsAndWatermarks (WatermarkStrategy) instead.we are using flink to process data from kafka topic, the data in kafka topic comes from massive IoT devices, we hash those devices into different partition based on hash code of device ID, so each partition has event data from many devices, and those event data contains "timestamp", "value", "deviceID" and so on. we want to use flink to do ...Let's give a specific example to show this process. Suppose: The window size is 5s; Watermark delay strategy is 3S; Watermark generation strategy is cyclical generation; The process of the … used small motorhomes for sale by owner For this example we expect messages to have the format value,timestamp where value is the message and timestamp is the time at which this message was generated at the source. Since we are now building a Processing Time based system, the code below ignores the timestamp part.For this example we expect messages to have the format value,timestamp where value is the message and timestamp is the time at which this message was generated at the … powerapps custom cardFrom the literal meaning of watermark, it can be understood as water level line, which can be understood as the scale of water level in real life, and in the semantics of flink, watermark can also be understood as a time scale. Take a simple example. A certain route starts at 10 a.m. every day, and there is a flight every half hour.实时即未来，大数据项目车联网之驾驶行程采样入库（15）. 【摘要】 theme: smartblue持续创作，加速成长！. 这是我参与「掘金日新计划 · 10 月更文挑战」的第15天，点击查看活动详情 1. 驾驶行程采样入库l 驾驶行程数据筛选入库，为第五节的行程指标采样分析的 ...Oct 31, 2022 · 实时即未来，大数据项目车联网之驾驶行程采样入库（15）. 【摘要】 theme: smartblue持续创作，加速成长！. 这是我参与「掘金日新计划 · 10 月更文挑战」的第15天，点击查看活动详情 1. 驾驶行程采样入库l 驾驶行程数据筛选入库，为第五节的行程指标采样分析的 ... makeup app download freecoors light the official beer of 实时即未来，大数据项目车联网之驾驶行程采样入库（15）. 【摘要】 theme: smartblue持续创作，加速成长！. 这是我参与「掘金日新计划 · 10 月更文挑战」的第15天，点击查看活动详情 1. 驾驶行程采样入库l 驾驶行程数据筛选入库，为第五节的行程指标采样分析的 ...Jan 20, 2017 · we are using flink to process data from kafka topic, the data in kafka topic comes from massive IoT devices, we hash those devices into different partition based on hash code of device ID, so each partition has event data from many devices, and those event data contains "timestamp", "value", "deviceID" and so on. we want to use flink to do ... After assigning timestamps, all time-based operations will use time from sentAt field to operate. Since Flink expects timestamps to be in milliseconds and toEpochSecond () returns time in seconds we needed to multiply it by 1000, so Flink will create windows correctly. Flink defines the concept of a Watermark. mclennan county highway 6 inmate list Oct 31, 2022 · 实时即未来，大数据项目车联网之驾驶行程采样入库（15）. 【摘要】 theme: smartblue持续创作，加速成长！. 这是我参与「掘金日新计划 · 10 月更文挑战」的第15天，点击查看活动详情 1. 驾驶行程采样入库l 驾驶行程数据筛选入库，为第五节的行程指标采样分析的 ... Упакуйте программу apache flink с плагином maven shadow, но при отправке появляется NoClassDefFoundErrorSets the given WatermarkStrategy on this consumer. These will be used to assign timestamps to records and generates watermarks to signal event time progress. Running timestamp extractors / watermark generators directly inside the Kafka source (which you can do by using this method), per Kafka partition, allows users to let them exploit the per-partition characteristics. 82nd airborne division commander For example, Kafka consumer metric "records-consumed-total" will be reported in metric: <some_parent_groups>.operator.KafkaSourceReader.KafkaConsumer.records-consumed-total. You can configure whether to register Kafka consumer's metric by configuring option register.consumer.metrics. This option will be set as true by default.Flink的SQL、Table的实操. 在Flink提供的多层级API中，核心是DataStream API，这是我们开发流处理应用的基本途径；底层则是所谓的处理函数（process function），可以访问事件的时间信息、注册定时器、自定义状态，进行有状态的流处理。DataStream API和处理函数比较通用，有了这些API，理论上我们就可以实现 ...PHP Post请求内容包含原始数据,php,request,field,send,Php,Request,Field,Send,这么长时间以来，我一直在为我的问题寻找解决方案。 ebm axial fan catalogue pdf For example, Kafka consumer metric "records-consumed-total" will be reported in metric: <some_parent_groups>.operator.KafkaSourceReader.KafkaConsumer.records-consumed-total. You can configure whether to register Kafka consumer's metric by configuring option register.consumer.metrics. This option will be set as true by default.Jan 20, 2017 · we are using flink to process data from kafka topic, the data in kafka topic comes from massive IoT devices, we hash those devices into different partition based on hash code of device ID, so each partition has event data from many devices, and those event data contains "timestamp", "value", "deviceID" and so on. we want to use flink to do ... Oct 26, 2022 · Flink中Table API和SQL 完整使用下一、操作案例1、快速上手2、flink流处理环境3、统计每个用户的PV值4、窗口TOP N 统计一段时间内的（前两名）活跃用户5、聚合操作函数6、UdfTest_AggregateFunction7、调用UDF进行查询转换8、表聚合函数9、实现自定义的函… abclegal 26 мар. 2022 г. ... git clone [https://github.com/streaming-with-flink/examples-java](https://github ... assignTimestampsAndWatermarks(new SensorTimeAssigner()) ...Please mind that the UUID generation mechanism isn't perfect, as it allows duplicates. However, this is enough for the scope of this example. We want to save our Backup object as JSON to Kafka, so we need to create our SerializationSchema:This page shows Java code examples of org.apache.flink.streaming.api.datastream.DataStream#assignTimestampsAndWatermarks. linseed oil on cedar fence We'll see later an example. Both together, TimestampAssigner and WatermarkGenerator form a WatermarkStrategy which defines how to generate Watermarks in the stream sources. Use case example. Let's illustrate this with an example. Our flink job will receive readings from different sensors. Every sensor will send measures for each 100ms.Flink的SQL、Table的实操. 在Flink提供的多层级API中，核心是DataStream API，这是我们开发流处理应用的基本途径；底层则是所谓的处理函数（process function），可以访问事件的时间信息、注册定时器、自定义状态，进行有状态的流处理。Sample Code. The following code snippet is used as an example for importing the ... assignTimestampsAndWatermarks( new Record2TimestampExtractor() ). best college cornerbacks of all time The streaming examples TopSpeedWindowing demonstrates that the generating watermarks function part uses the deprecated DataStream#assignTimestampsAndWatermarks (AscendingTimestampExtractor), which is recommended in the relevant Flink docs is recommended to use DataStream#assignTimestampsAndWatermarks (WatermarkStrategy) instead.Assigning Timestamps. In order to work with event time, Flink needs to know the events’ timestamps, meaning each element in the stream needs to have its event timestamp …Flink的SQL、Table的实操. 在Flink提供的多层级API中，核心是DataStream API，这是我们开发流处理应用的基本途径；底层则是所谓的处理函数（process function），可以访问事件的时间信息、注册定时器、自定义状态，进行有状态的流处理。Timestamp assignment goes hand-in-hand with generating watermarks, which tell the system about progress in event time. You can configure this by specifying a WatermarkGenerator. The Flink API expects a WatermarkStrategy that contains both a TimestampAssigner and WatermarkGenerator. samd21 bootloader github env.setStreamTimeCharacteristic (TimeCharacteristic.EventTime); I found：. * @deprecated In Flink 1.12 the default stream time characteristic has been changed to {@link * TimeCharacteristic#EventTime}, thus you don't need to call this method for enabling * event-time support anymore. Explicitly using processing-time windows and timers works in ...We'll see later an example. Both together, TimestampAssigner and WatermarkGenerator form a WatermarkStrategy which defines how to generate Watermarks in the stream sources. Use case example Let's illustrate this with an example. Our flink job will receive readings from different sensors. Every sensor will send measures for each 100ms.10 июл. 2016 г. ... Extreme Wind (wind speed above 110 mph). Source Code. You can find the full source code for the example in my git repository at: https://github.Oct 11, 2022 · 3-1.Flink四大基石. Flink之所以能这么流行，离不开它最重要的四个基石：Checkpoint、State、Time、Window. Checkpoint. 这是Flink最重要的一个特性。. Flink基于Chandy-Lamport算法实现了一个分布式的一致性的快照，从而提供了一致性的语义。. Chandy-Lamport算法实际上在1985年的 ... new builds house hounslow Apache flink 如果我在Flink 1.10中将时间特性设置为IngestionTime，是否需要设置assignTimestampsAndWatermarks？ apache-flink; Apache flink flink检查点如何帮助故障恢复 apache-flink; Apache flink 无法读取flink中前缀为的s3文件 apache-flink; Apache flink Flink禁用操作员链接性能影响 apache-flink DataStream<Tuple2<Long, String>> sum = data.map(new MapFunction<String, Tuple2<Long, String>>() { public Tuple2<Long, String> map(String s) { String[] words = s.split(","); return new Tuple2<Long, String>(Long.parseLong(words[0]), words[1]); } }) .assignTimestampsAndWatermarks(new AscendingTimestampExtractor<Tuple2<Long, String>>() { public long extractAscendingTimestamp(Tuple2<Long, String> t) { return t.f0; } }) .windowAll(TumblingEventTimeWindows.of(Time.seconds(5))) .reduce(new ...18 дек. 2021 г. ... For this example, let's first create a stream simulating two events that are several minutes apart ... assignTimestampsAndWatermarks( new ...Jan 20, 2017 · we are using flink to process data from kafka topic, the data in kafka topic comes from massive IoT devices, we hash those devices into different partition based on hash code of device ID, so each partition has event data from many devices, and those event data contains "timestamp", "value", "deviceID" and so on. we want to use flink to do ... new build bungalows in maidstone The following examples show how to use org.apache.flink.streaming.api.datastream.DataStream#assignTimestampsAndWatermarks() . You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar. yosemite merced river . assignTimestampsAndWatermarks (watermarkStrategy); // 橘色流: DataStream < Tuple3 < String, String, String >> orangeStream = orangeSource. map (new MapFunction < …Here are the examples of the java api org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer.assignTimestampsAndWatermarks() taken from open source projects. By voting up you can indicate which examples are most useful and appropriate. everyone hates sakura fanfiction DataStream<Tuple2<Long, String>> sum = data.map(new MapFunction<String, Tuple2<Long, String>>() { public Tuple2<Long, String> map(String s) { String[] words = s.split(","); return new Tuple2<Long, String>(Long.parseLong(words[0]), words[1]); } }) .assignTimestampsAndWatermarks(new AscendingTimestampExtractor<Tuple2<Long, String>>() { public long extractAscendingTimestamp(Tuple2<Long, String> t) { return t.f0; } }) .windowAll(TumblingEventTimeWindows.of(Time.seconds(5))) .reduce(new ...Apr 02, 2020 · Line #1: Create a DataStream from the FlinkKafkaConsumer object as the source. Line #3: Filter out null and empty values coming from Kafka. Line #5: Key the Flink stream based on the key present ... Stream Processing with Apache Flink - Scala Examples - examples-scala/WatermarkGeneration.scala at ... assignTimestampsAndWatermarks(new PunctuatedAssigner).Here are the examples of the java api org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer.assignTimestampsAndWatermarks() taken from open source projects. By voting up you can indicate which examples are most useful and appropriate. the new nurse is providing teaching to a client scheduled for electroconvulsive therapy