当前位置:网站首页>Flink: from introduction to Zhenxiang (6. Flink implements UDF function - realizes more fine-grained control flow)
Flink: from introduction to Zhenxiang (6. Flink implements UDF function - realizes more fine-grained control flow)
2020-11-08 12:06:00 【osc_15vyay19】
Flink Provides a variety of data conversion operations , But in the actual business process, there are many data structures that need to be processed in business 、 Rules and so on , You need to write your own business code , It's used at this time flink Provided function class (Function Class)
Flink Exposed everything udf Function interface ( The implementation mode is interface or abstract class ), for example MapFunction,FilterFunction,ProcessFunction etc. .
A small chestnut , To filter the data to sensor3 Start with data
Still com.mafei.apitest Create a new one scala Object UDFTest1
The rest of the code is the same as before , Read the file and do some simple processing , A custom function class is added here MyFilterFunction, When use , Just add... To the logic .filter The method can ,
package com.mafei.apitest
import org.apache.flink.api.common.functions.{FilterFunction, ReduceFunction, RichFilterFunction}
import org.apache.flink.streaming.api.scala.{StreamExecutionEnvironment, createTypeInformation}
// Get sensor data
case class SensorReadingTest1(id: String,timestamp: Long, temperature: Double)
object UdfTest1 {
def main(args: Array[String]): Unit = {
// Create an execution environment
val env = StreamExecutionEnvironment.getExecutionEnvironment
case class Person(name: String, age: Int)
val inputStream= env.readTextFile("/opt/java2020_study/maven/flink1/src/main/resources/sensor.txt")
env.setParallelism(1)
// inputStream.print()
// First convert to sample class type
val dataStream = inputStream
.map(data => {
val arr = data.split(",") // according to , Split data , To get the results
SensorReadingTest1(arr(0), arr(1).toLong, arr(2).toDouble) // Generate data for a sensor class , Parameters are passed in the middle toLong and toDouble Because the default split is string category
// }).filter(new MyFilterFunction)
// }).filter(_.id.startsWith("sensor1")) // If it's very simple logic , You can also write anonymous classes like this , It's the same effect as writing a function
// }).filter(new RichFilterFunction[SensorReadingTest1] {
// override def filter(t: SensorReadingTest1): Boolean =
// t.id.startsWith("sensor3")
// }) // Anonymous class implementation effect , And above 2 The effects are the same
}).filter(new KeywordFilterFunction("sensor3")) // You can also pass in the parameters to be filtered
dataStream.print()
env.execute("udf test")
}
}
// Customize a function class , Filter it , Implement... In the interface filter The method can
class MyFilterFunction extends FilterFunction[SensorReadingTest1] {
override def filter(t: SensorReadingTest1): Boolean = t.id.startsWith("sensor3")
}
// Custom function class , Same as above , Added the transmission reference ,
class KeywordFilterFunction(keyword: String) extends FilterFunction[SensorReadingTest1]{
override def filter(t: SensorReadingTest1): Boolean =
t.id.startsWith(keyword)
}
Code structure and running effect diagram
RichMap
Mainly do some data processing and other operations , The code demonstrates MapperDemo and RichMapDemo The difference and operation effect of
package com.mafei.apitest
import org.apache.flink.api.common.functions.{FilterFunction, MapFunction, RichMapFunction}
import org.apache.flink.configuration.Configuration
import org.apache.flink.streaming.api.scala.{StreamExecutionEnvironment, createTypeInformation}
// Get sensor data
case class SensorReadingTest2(id: String,timestamp: Long, temperature: Double)
object UdfTest2 {
def main(args: Array[String]): Unit = {
// Create an execution environment
val env = StreamExecutionEnvironment.getExecutionEnvironment
case class Person(name: String, age: Int)
val inputStream= env.readTextFile("/opt/java2020_study/maven/flink1/src/main/resources/sensor.txt")
env.setParallelism(1)
// inputStream.print()
// First convert to sample class type
val dataStream = inputStream
.map(data => {
val arr = data.split(",") // according to , Split data , To get the results
SensorReadingTest2(arr(0), arr(1).toLong, arr(2).toDouble) // Generate data for a sensor class , Parameters are passed in the middle toLong and toDouble Because the default split is string category
}).map(new RichMapDemo())
dataStream.print()
env.execute("udf test")
}
}
class MapperDemo extends MapFunction[SensorReadingTest2, String]{
override def map(t: SensorReadingTest2): String = t.id+" Test to add some strings "
}
// Rich function , There are more classes than above open and close Other methods , Can do some database connection and other operations
class RichMapDemo extends RichMapFunction[SensorReadingTest2, String]{
// The main operations here are initialization , When starting the call , The whole process will only be called once , It is similar to the variables loaded by class initialization , Like database connection and so on
override def open(parameters: Configuration): Unit = {
println(" A database connection was made ..........")
// Get runtime context
getRuntimeContext()
}
// Every data goes through this method
override def map(in: SensorReadingTest2): String = in.id+" Test the rich function and add some strings "
override def close(): Unit = {
// Follow open similar , When the task stops , You can do something like release database connection and so on
print(" Closed database connection ......")
}
}
Running effect : You can see , The whole process , Only one database connection operation
A database connection was made ..........
sensor1 Test the rich function and add some strings
sensor2 Test the rich function and add some strings
sensor3 Test the rich function and add some strings
sensor4 Test the rich function and add some strings
sensor4 Test the rich function and add some strings
sensor4 Test the rich function and add some strings
Closed database connection ......
版权声明
本文为[osc_15vyay19]所创,转载请带上原文链接,感谢
边栏推荐
- Top 5 Chinese cloud manufacturers in 2018: Alibaba cloud, Tencent cloud, AWS, telecom, Unicom
- Second assignment
- Installing MacOS 11 Big Sur in virtual machine
- next.js实现服务端缓存
- 笔试面试题目:盛水最多的容器
- 维图PDMS切图软件
- Istio traffic management -- progress gateway
- 一文剖析2020年最火十大物联网应用|IoT Analytics 年度重磅报告出炉!
- android基础-CheckBox(复选框)
- 211考研失败后,熬夜了两个月拿下字节offer!【面经分享】
猜你喜欢
第二次作业
用科技赋能教育创新与重构 华为将教育信息化落到实处
蘑菇街电商交易平台服务架构及改造优化历程(含PPT)
墨者学院SQL注入解题
Flink从入门到真香(6、Flink实现UDF函数-实现更细粒度的控制流)
2018中国云厂商TOP5:阿里云、腾讯云、AWS、电信、联通 ...
Share the experience of passing the PMP examination
Close to the double 11, he made up for two months and successfully took the offer from a large factory and transferred to Alibaba
如何将 PyTorch Lightning 模型部署到生产中
Is software testing training class easy to find a job
随机推荐
Flink从入门到真香(6、Flink实现UDF函数-实现更细粒度的控制流)
PDMS cutting software
笔试面试题目:盛水最多的容器
Python basic syntax
Adobe media encoder / me 2021 software installation package (with installation tutorial)
How to deploy pytorch lightning model to production
This paper analyzes the top ten Internet of things applications in 2020!
Enabling education innovation and reconstruction with science and technology Huawei implements education informatization
PMP考试通过心得分享
The young generation of winner's programming life, the starting point of changing the world is hidden around
laravel8更新之速率限制改进
Bohai bank million level fines continue: Li Volta said that the governance is perfect, the growth rate is declining
211 postgraduate entrance examination failed, stay up for two months, get the byte offer! [face to face sharing]
Introduction to mongodb foundation of distributed document storage database
This time Kwai tiktok is faster than shaking.
PMP experience sharing
When kubernetes encounters confidential computing, see how Alibaba protects the data in the container! (Internet disk link attached)
2018中国云厂商TOP5:阿里云、腾讯云、AWS、电信、联通 ...
python基础教程python opencv pytesseract 验证码识别的实现
Flink的sink实战之一:初探