【实战-08】flink消费kafka自定义序列化

目的

让从kafka消费出来的数据，直接就转换成我们的对象

mvn pom <!-- 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:// .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. --> <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http:// .w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> <modelVersion>4.0.0</modelVersion> <groupId>com.boke</groupId> <artifactId>Flink1.7.1</artifactId> <version>1.0-SNAPSHOT</version> <packaging>jar</packaging> <name>Flink Quickstart Job</name> <properties> <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding> <flink.version>1.17.1</flink.version> <target.java.version>1.8</target.java.version> <scala.binary.version>2.12</scala.binary.version> <maven piler.source>${target.java.version}</maven piler.source> <maven piler.target>${target.java.version}</maven piler.target> <log4j.version>2.17.1</log4j.version> </properties> <repositories> <repository> <id>apache.snapshots</id> <name>Apache Development Snapshot Repository</name> <url> repository.apache.org/content/repositories/snapshots/</url> <releases> <enabled>false</enabled> </releases> <snapshots> <enabled>true</enabled> </snapshots> </repository> </repositories> <dependencies> <!-- Apache Flink dependencies --> <!-- These dependencies are provided, because they should not be packaged into the JAR file. --> <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-streaming-java</artifactId> <version>${flink.version}</version> <!-- <scope>provided</scope>--> </dependency> <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-clients</artifactId> <version>${flink.version}</version> <!-- <scope>provided</scope>--> </dependency> <!-- table 环境依赖【connectors 和 formats 和driver】 nightlies.apache.org/flink/flink-docs-release-1.17/docs/dev/configuration/overview/ --> <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-connector-kafka</artifactId> <version>${flink.version}</version> </dependency> <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-table-api-java</artifactId> <version>${flink.version}</version> <!-- <scope>provided</scope>--> </dependency> <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-table-api-java-bridge</artifactId> <version>${flink.version}</version> <!-- <scope>provided</scope>--> </dependency> <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-connector-jdbc</artifactId> <version>3.1.0-1.17</version> </dependency> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> <version>8.0.18</version> </dependency> <!--idea 运行比西甲这个否则报错：【 Make sure a planner module is on the classpath】--> <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-table-planner-loader</artifactId> <version>${flink.version}</version> <!-- <scope>provided</scope>--> </dependency> <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-table-runtime</artifactId> <version>${flink.version}</version> <!-- <scope>provided</scope>--> </dependency> <!--第三方的包--> <dependency> <groupId>com.alibaba</groupId> <artifactId>fastjson</artifactId> <version>1.2.83</version> </dependency> <!-- Add connector dependencies here. They must be in the default scope (compile). --> <!-- Example: <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-connector-kafka</artifactId> <version>${flink.version}</version> </dependency> --> <!-- Add logging framework, to produce console output when running in the IDE. --> <!-- These dependencies are excluded from the application JAR by default. --> <dependency> <groupId>org.apache.logging.log4j</groupId> <artifactId>log4j-slf4j-impl</artifactId> <version>${log4j.version}</version> <scope>runtime</scope> </dependency> <dependency> <groupId>org.apache.logging.log4j</groupId> <artifactId>log4j-api</artifactId> <version>${log4j.version}</version> <scope>runtime</scope> </dependency> <dependency> <groupId>org.apache.logging.log4j</groupId> <artifactId>log4j-core</artifactId> <version>${log4j.version}</version> <scope>runtime</scope> </dependency> </dependencies> <build> <plugins> <!-- Java Compiler --> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-compiler-plugin</artifactId> <version>3.1</version> <configuration> <source>${target.java.version}</source> <target>${target.java.version}</target> </configuration> </plugin> <!-- We use the maven-shade plugin to create a fat jar that contains all necessary dependencies. --> <!-- Change the value of <mainClass>...</mainClass> if your program entry point changes. --> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-shade-plugin</artifactId> <version>3.1.1</version> <executions> <!-- Run shade goal on package phase --> <execution> <phase>package</phase> <goals> <goal>shade</goal> </goals> <configuration> <createDependencyReducedPom>false</createDependencyReducedPom> <artifactSet> <excludes> <exclude>org.apache.flink:flink-shaded-force-shading</exclude> <exclude>com.google.code.findbugs:jsr305</exclude> <exclude>org.slf4j:*</exclude> <exclude>org.apache.logging.log4j:*</exclude> </excludes> </artifactSet> <filters> <filter> <!-- Do not copy the signatures in the META-INF folder. Otherwise, this might cause SecurityExceptions when using the JAR. --> <artifact>*:*</artifact> <excludes> <exclude>META-INF/*.SF</exclude> <exclude>META-INF/*.DSA</exclude> <exclude>META-INF/*.RSA</exclude> </excludes> </filter> </filters> <transformers> <transformer implementation="org.apache.maven.plugins.shade.resource.ServicesResourceTransformer"/> <transformer implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer"> <mainClass>com.boke.DataStreamJob</mainClass> </transformer> </transformers> </configuration> </execution> </executions> </plugin> </plugins> <pluginManagement> <plugins> <!-- This improves the out-of-the-box experience in Eclipse by resolving some warnings. --> <plugin> <groupId>org.eclipse.m2e</groupId> <artifactId>lifecycle-mapping</artifactId> <version>1.0.0</version> <configuration> <lifecycleMappingMetadata> <pluginExecutions> <pluginExecution> <pluginExecutionFilter> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-shade-plugin</artifactId> <versionRange>[3.1.1,)</versionRange> <goals> <goal>shade</goal> </goals> </pluginExecutionFilter> <action> <ignore/> </action> </pluginExecution> <pluginExecution> <pluginExecutionFilter> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-compiler-plugin</artifactId> <versionRange>[3.1,)</versionRange> <goals> <goal>testCompile</goal> <goal>compile</goal> </goals> </pluginExecutionFilter> <action> <ignore/> </action> </pluginExecution> </pluginExecutions> </lifecycleMappingMetadata> </configuration> </plugin> </plugins> </pluginManagement> </build> </project> 核心代码

package com.boke.kafka;

import com.alibaba.fastjson.JSONObject;

public class Student { public String name; public Integer age;

public Student(String name, Integer age) { this.name = name; this.age = age; } public static Student fromJson(String s){ JSONObject jsonObject = JSONObject.parseObject(s); String name = jsonObject.getString("name"); Integer age = jsonObject.getInteger("age"); return new Student(name,age); } public String getName() { return name; } public void setName(String name) { this.name = name; } public Integer getAge() { return age; } public void setAge(Integer age) { this.age = age; }

}

//下面是main主函数 package com.boke.kafka;

import org.apache.flink.api mon.eventtime.WatermarkStrategy; import org.apache.flink.api mon.typeinfo.TypeHint; import org.apache.flink.api mon.typeinfo.TypeInformation; import org.apache.flink.connector.kafka.source.KafkaSource; import org.apache.flink.connector.kafka.source.enumerator.initializer.OffsetsInitializer; import org.apache.flink.connector.kafka.source.reader.deserializer.KafkaRecordDeserializationSchema; import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; import org.apache.flink.streaming.connectors.kafka.KafkaDeserializationSchema; import org.apache.kafka.clients.consumer.ConsumerRecord;

import java.nio.charset.StandardCharsets;

public class kafkaSource { public static void main(String[] args) { StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); KafkaSource source = KafkaSource.builder() .setBootstrapServers(“brokers”) .setTopics(“input-topic”) .setGroupId(“my-group”) .setStartingOffsets(OffsetsInitializer.earliest())//【无论如何都从最早开始消费】 // .setStartingOffsets(OffsetsInitializer.latest())//【无论如何都从最新开始消费】 // .setStartingOffsets(OffsetsInitializer mittedOffsets(OffsetResetStrategy.EARLIEST))//【groupid 存在offset 则从offset消费，否则从最早开始消费】 // .setStartingOffsets(OffsetsInitializer mittedOffsets(OffsetResetStrategy.LATEST))//【groupid 存在offset 则从offset消费，否则从最新开始消费】

// .setDeserializer(KafkaRecordDeserializationSchema.of(new KafkaDeserializationSchemaWrapper<>(new SimpleStringSchema()))) // .setDeserializer(KafkaRecordDeserializationSchema.of(new SimpleStringSchema()); .setDeserializer(KafkaRecordDeserializationSchema.of(new MyKafkaDeserializationSchema())) // .setDeserializer(KafkaRecordDeserializationSchema.valueOnly()) .build();

env.fromSource(source, WatermarkStrategy.noWatermarks(), "Kafka Source"); }

} class MyKafkaDeserializationSchema implements KafkaDeserializationSchema{

@Override public boolean isEndOfStream(Student nextElement) { return false; }

//Deserializes the Kafka record. //Params: //record – Kafka record to be deserialized. //Returns: //The deserialized message as an object (null if the message cannot be deserialized). @Override public Student deserialize(ConsumerRecord<byte[], byte[]> record) throws Exception { /* *自定义kafka反序列化 *如果数据异常，可以直接返回nulll即可，源码中有一句英文：null if the message cannot be deserialized * */ String topic = record.topic(); long KafkaTimeStamp = record.timestamp(); int partitionNum = record.partition(); String value = new String(record.value(), StandardCharsets.UTF_8); return Student.fromJson(value); }

@Override public TypeInformation<Student> getProducedType() { return TypeInformation.of(new TypeHint<Student>() {}); }

}