序 本文主要研究一下flink KeyedStream的KeySelector apache-flink-training-datastream-api-basics-24-638.jpg KeyedStream...flink-streaming-java_2.11-1.7.0-sources.jar!.../org/apache/flink/streaming/api/datastream/KeyedStream.java @Public public class KeyedStream...的不同构造器中都需要一个KeySelector类型的参数 KeySelector flink-core-1.7.0-sources.jar!.../org/apache/flink/streaming/api/datastream/DataStream.java /** * It creates a new {@link KeyedStream
序 本文主要研究一下flink KeyedStream的aggregation操作 udagg-mechanism.png 实例 @Test public void testMax(...} }); env.execute("testMax"); } 这里先对word字段进行keyBy操作，然后再通过KeyedStream...的max方法按frequency字段取最大的WordCount KeyedStream.aggregate flink-streaming-java_2.11-1.7.0-sources.jar!.../org/apache/flink/streaming/api/datastream/KeyedStream.java public SingleOutputStreamOperator.../org/apache/flink/streaming/api/functions/aggregation/ComparableAggregator.java @Internal public class
序 本文主要研究一下flink KeyedStream的reduce操作 apache-flink-training-datastream-api-basics-27-638.jpg 实例...进行reduce操作，自定义了ReduceFunction，在reduce方法里头累加word的计数 KeyedStream.reduce flink-streaming-java_2.11-1.7.0.../org/apache/flink/streaming/api/datastream/KeyedStream.java @Public public class KeyedStream...; transform.setStateKeyType(keyType); return returnStream; } //...... } KeyedStream...executing a {@link ReduceFunction} on a * {@link org.apache.flink.streaming.api.datastream.KeyedStream
序 本文主要研究一下flink KeyedStream的intervalJoin操作 实例 DataStream orangeStream = ......flink-streaming-java_2.11-1.7.0-sources.jar!.../org/apache/flink/streaming/api/datastream/KeyedStream.java @Public public class KeyedStream.../org/apache/flink/streaming/api/datastream/KeyedStream.java @PublicEvolving public static class.../org/apache/flink/streaming/api/datastream/KeyedStream.java @PublicEvolving public static class
序 本文主要研究一下flink KeyedStream的intervalJoin操作 interval-join.png 实例 DataStream orangeStream =...flink-streaming-java_2.11-1.7.0-sources.jar!.../org/apache/flink/streaming/api/datastream/KeyedStream.java @Public public class KeyedStream.../org/apache/flink/streaming/api/datastream/KeyedStream.java @PublicEvolving public static class.../org/apache/flink/streaming/api/datastream/KeyedStream.java @PublicEvolving public static class
举例： keyedStream.reduce(new ReduceFunction() { @Override public Integer reduce(Integer...-> DataStream 功能：在keyed data stream中进行聚合操作 举例： keyedStream.sum(0); keyedStream.sum("key"); keyedStream.min...(0); keyedStream.min("key"); keyedStream.max(0); keyedStream.max("key"); keyedStream.minBy(0); keyedStream.minBy...("key"); keyedStream.maxBy(0); keyedStream.maxBy("key"); （7）Window方式：KeyedStream -> WindowedStream 功能...：在KeyedStream中进行使用，根据某个特征针对每个key用windows进行分组。
二、Flink开发环境搭建 首先要想运行Flink，我们需要下载并解压Flink的二进制包，下载地址如下：https://flink.apache.org/downloads.html 我们可以选择Flink...-> DataStream 功能：在keyed data stream中进行聚合操作 举例： keyedStream.sum(0); keyedStream.sum("key"); keyedStream.min...(0); keyedStream.min("key"); keyedStream.max(0); keyedStream.max("key"); keyedStream.minBy(0); keyedStream.minBy...("key"); keyedStream.maxBy(0); keyedStream.maxBy("key"); （7）Window方式：KeyedStream -> WindowedStream 功能...：在KeyedStream中进行使用，根据某个特征针对每个key用windows进行分组。
Flink 系列文章 一、Flink 专栏Flink 专栏系统介绍某一知识点，并辅以具体的示例进行说明。1、Flink 部署系列本部分介绍Flink的部署、配置相关基础内容。...;import org.apache.flink.streaming.api.datastream.KeyedStream;import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator...;import org.apache.flink.streaming.api.datastream.KeyedStream;import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator...这些函数可以应用于 KeyedStream 以获得 Aggregations 聚合。Aggregate 对KeyedStream按指定字段滚动聚合并输出每一次滚动聚合后的结果。...;import org.apache.flink.streaming.api.datastream.KeyedStream;import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment
本节将介绍基本转换(transformations)操作，应用这些转换后的有效物理分区以及深入了解 Flink 算子链。 1....参阅博文Flink1.4 定义keys的几种方法来了解如何指定键。这个转换返回一个 KeyedStream。...Physical partitioning 通过以下功能，Flink 还可以在转换后的确切流分区上进行低层次的控制（如果需要）。...如果可能的话，Flink默认链接算子（例如，两个连续的 map 转换）。如果需要，API可以对链接进行精细控制。...someStream.filter(...).slotSharingGroup("name"); 备注： Flink 版本： 1.4
一、Flink应用开发 Flink作为流批一体的计算引擎，其面对的是业务场景，面向的使用者是开发人员和运维管理人员。...Flink应用程序，也叫Flink作业、FlinkJob.Flink作业包含了两个基本的块：数据流(DataStream)和转换(Tranformation)。...KeyedStream KeyedStream用来表示根据指定的key进行分组的数据流。一个KeyedStream可以通过调用DataStream.keyBy()来获得。...而在KeyedStream上进行任何Transformation都将转变回DataStream。在现实中，KeyedStream把key的信息写入了Transformation中。...该类运算应用在KeyedStream上，输出结果为DataStream。ReduceFuntion中T代表KeyedStream中元素的数据类型。
的转换算子来进行统计计算： // 按照商品ID进行分组 KeyedStream keyedStream = salesStream .keyBy(SaleEvent...::getProductId); // 计算每个商品的总销售量 DataStream> resultStream = keyedStream...DataStream salesStream = env.addSource(new SaleEventSource()); // 按照商品ID进行分组 KeyedStream... keyedStream = salesStream .keyBy(SaleEvent::getProductId);...// 计算每个商品的总销售量 DataStream> resultStream = keyedStream
, Tuple> keyedStream = tuple2DataStream.keyBy(0); keyedStream.reduce((ReduceFunction...max , minBy，maxBy 等常用聚合算子： // 滚动计算指定key的最小值，可以通过index或者fieldName来指定key keyedStream.min(0); keyedStream.min...("key"); // 滚动计算指定key的最大值 keyedStream.max(0); keyedStream.max("key"); // 滚动计算指定key的最小值，并返回其对应的元素 keyedStream.minBy...(0); keyedStream.minBy("key"); // 滚动计算指定key的最大值，并返回其对应的元素 keyedStream.maxBy(0); keyedStream.maxBy("key.../projects/flink/flink-docs-release-1.9/dev/stream/operators/
读者可以使用Flink Scala Shell或者Intellij Idea来进行练习： Flink Scala Shell使用教程 Intellij Idea开发环境搭建教程 Flink单数据流基本转换...keyBy会将一个DataStream转化为一个KeyedStream，聚合操作会将KeyedStream转化为DataStream。如果聚合前每个元素数据类型是T，聚合后的数据类型仍为T。 ?...keyBy算子将DataStream转换成一个KeyedStream。...KeyedStream是一种特殊的DataStream，事实上，KeyedStream继承了DataStream，DataStream的各元素随机分布在各Task Slot中，KeyedStream的各元素按照...我们需要向keyBy算子传递一个参数，以告知Flink以什么字段作为Key进行分组。
序 本文主要研究一下flink DataStream的connect操作 DataStream.connect flink-streaming-java_2.11-1.7.0-sources.jar!...) && (inputStream2 instanceof KeyedStream)) { operator = new KeyedCoProcessOperator(inputStream1...&& inputStream2 instanceof KeyedStream) { KeyedStream keyedInput1 = (KeyedStream) inputStream1; KeyedStream keyedInput2 = (KeyedStream) inputStream2; TypeInformation<?
序 本文主要研究一下flink DataStream的connect操作 apache-flink-training-datastream-api-basics-34-638 (1).jpg DataStream.connect...flink-streaming-java_2.11-1.7.0-sources.jar!...&& inputStream2 instanceof KeyedStream) { KeyedStream keyedInput1 = (KeyedStream) inputStream1; KeyedStream keyedInput2 = (KeyedStream) inputStream2; TypeInformation<?
序 本文主要研究一下flink的window操作 window DataStream flink-streaming-java_2.11-1.7.0-sources.jar!.../org/apache/flink/streaming/api/datastream/DataStream.java public AllWindowedStream<T, TimeWindow...flink-streaming-java_2.11-1.7.0-sources.jar!.../org/apache/flink/streaming/api/datastream/KeyedStream.java public WindowedStream<T, KEY, TimeWindow...flink的window操作主要分为两大类，一类是针对KeyedStream的window操作，一个是针对non-key stream的windowAll操作 window操作主要有几个参数，WindowAssigner
序 本文主要研究一下flink的window操作 apache-flink-training-datastream-api-windows-4-638.jpg window DataStream flink-streaming-java...super T, W> assigner) { return new AllWindowedStream(this, assigner); } 对于非KeyedStream，...flink-streaming-java_2.11-1.7.0-sources.jar!.../org/apache/flink/streaming/api/datastream/KeyedStream.java public WindowedStream<T, KEY, TimeWindow...flink的window操作主要分为两大类，一类是针对KeyedStream的window操作，一个是针对non-key stream的windowAll操作 window操作主要有几个参数，WindowAssigner
该代码可以直接粘贴复制到你自己的工程，只需要导入Flink的相关依赖，具体工程构建方法，请参考。...keyedStream.reduce { _ + _ } 6,Fold KeyedStream → DataStream 滚动聚合一个KeyedStream，需要指定一个初始值。...("start")((str, i) => { str + "-" + i }) 7,Aggregations KeyedStream → DataStream KeyedStream 进行滚动聚合。...keyedStream.sum(0) keyedStream.sum("key") keyedStream.min(0) keyedStream.min("key") keyedStream.max(0...) keyedStream.max("key") keyedStream.minBy(0) keyedStream.minBy("key") keyedStream.maxBy(0) keyedStream.maxBy
序 本文主要研究一下flink的Broadcast State 实例 @Test public void testBroadcastState() throws Exception {...BroadcastProcessFunction} * depending on the current stream being a {@link KeyedStream} or not...(inputStream1 instanceof KeyedStream), "A BroadcastProcessFunction can only be used on...) { KeyedStream keyedInput1 = (KeyedStream) inputStream1; TypeInformation<?
{DataStream, KeyedStream, StreamExecutionEnvironment, WindowedStream} import org.apache.flink.streaming.api.windowing.windows.GlobalWindow...._ val keyByStream: KeyedStream[(String, Int), Tuple] = socketSource.flatMap(x=>x.split(" ")).map...Flink 默认的时间窗口根据 Processing Time 进行窗口的划分，将 Flink 获取到的数据 根据进入 Flink 的时间 划分到不同的窗口中。...{DataStream, KeyedStream, StreamExecutionEnvironment} import org.apache.flink.streaming.api.scala._ import...{DataStream, KeyedStream, StreamExecutionEnvironment, WindowedStream} import org.apache.flink.api.scala
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