5: win10 使用IDEA调试编译flink 1.14
1: 下载
https://dlcdn.apache.org/flink/flink-1.14.2/flink-1.14.2-bin-scala_2.12.tgz
2: JAVA， Maven, IDEA都安装好。
3：搞一个flink的官网的程序
创建一个maven 工程
$ mvn archetype:generate \
-DarchetypeGroupId=org.apache.flink \
-DarchetypeArtifactId=flink-walkthrough-datastream-java \
-DarchetypeVersion=1.14.2 \
-DgroupId=frauddetection \
-DartifactId=frauddetection \
-Dversion=0.1 \
-Dpackage=spendreport \
-DinteractiveMode=false
pom.xml
<!-- 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. --> <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.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>frauddetection</groupId> <artifactId>frauddetection</artifactId> <version>0.1</version> <packaging>jar</packaging> <name>Flink Walkthrough DataStream Java</name> <url>https://flink.apache.org</url> <properties> <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding> <flink.version>1.14.2</flink.version> <target.java.version>1.8</target.java.version> <scala.binary.version>2.11</scala.binary.version> <maven.compiler.source>${target.java.version}</maven.compiler.source> <maven.compiler.target>${target.java.version}</maven.compiler.target> <log4j.version>2.16.0</log4j.version> </properties> <repositories> <repository> <id>apache.snapshots</id> <name>Apache Development Snapshot Repository</name> <url>https://repository.apache.org/content/repositories/snapshots/</url> <releases> <enabled>false</enabled> </releases> <snapshots> <enabled>true</enabled> </snapshots> </repository> </repositories> <dependencies> <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-walkthrough-common_${scala.binary.version}</artifactId> <version>${flink.version}</version> </dependency> <!-- This dependency is provided, because it should not be packaged into the JAR file. --> <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-streaming-java_${scala.binary.version}</artifactId> <version>${flink.version}</version> <scope>provided</scope> </dependency> <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-clients_${scala.binary.version}</artifactId> <version>${flink.version}</version> <scope>provided</scope> </dependency> <!-- Add connector dependencies here. They must be in the default scope (compile). --> <!-- Example: <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-connector-kafka_${scala.binary.version}</artifactId> <version>${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>3.0.0</version> <executions> <!-- Run shade goal on package phase --> <execution> <phase>package</phase> <goals> <goal>shade</goal> </goals> <configuration> <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.ManifestResourceTransformer"> <mainClass>spendreport.FraudDetectionJob</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>[3.0.0,)</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>
FraudDetectionJob.java
/* * 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 spendreport; import org.apache.flink.streaming.api.datastream.DataStream; import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; import org.apache.flink.walkthrough.common.sink.AlertSink; import org.apache.flink.walkthrough.common.entity.Alert; import org.apache.flink.walkthrough.common.entity.Transaction; import org.apache.flink.walkthrough.common.source.TransactionSource; /** * Skeleton code for the datastream walkthrough */ public class FraudDetectionJob { public static void main(String[] args) { StreamExecutionEnvironment env = null; try { env = StreamExecutionEnvironment.getExecutionEnvironment(); DataStream<Transaction> transactions = env .addSource(new TransactionSource()) .name("transactions"); DataStream<Alert> alerts = transactions .keyBy(Transaction::getAccountId) .process(new FraudDetector()) .name("fraud-detector"); alerts .addSink(new AlertSink()) .name("send-alerts"); env.execute("Fraud Detection"); } catch (java.lang.Exception e) { e.printStackTrace(); } } }
FraudDetector.java
package spendreport; import org.apache.flink.api.common.state.ValueState; import org.apache.flink.api.common.state.ValueStateDescriptor; import org.apache.flink.api.common.typeinfo.Types; import org.apache.flink.configuration.Configuration; import org.apache.flink.streaming.api.functions.KeyedProcessFunction; import org.apache.flink.util.Collector; import org.apache.flink.walkthrough.common.entity.Alert; import org.apache.flink.walkthrough.common.entity.Transaction; public class FraudDetector extends KeyedProcessFunction<Long, Transaction, Alert> { private static final long serialVersionUID = 1L; private static final double SMALL_AMOUNT = 1.00; private static final double LARGE_AMOUNT = 500.00; private static final long ONE_MINUTE = 60 * 1000; private transient ValueState<Boolean> flagState; private transient ValueState<Long> timerState; @Override public void open(Configuration parameters) { ValueStateDescriptor<Boolean> flagDescriptor = new ValueStateDescriptor<>( "flag", Types.BOOLEAN); flagState = getRuntimeContext().getState(flagDescriptor); ValueStateDescriptor<Long> timerDescriptor = new ValueStateDescriptor<>( "timer-state", Types.LONG); timerState = getRuntimeContext().getState(timerDescriptor); } @Override public void processElement( Transaction transaction, Context context, Collector<Alert> collector) throws Exception { // Get the current state for the current key Boolean lastTransactionWasSmall = flagState.value(); // Check if the flag is set if (lastTransactionWasSmall != null) { if (transaction.getAmount() > LARGE_AMOUNT) { //Output an alert downstream Alert alert = new Alert(); alert.setId(transaction.getAccountId()); collector.collect(alert); } // Clean up our state cleanUp(context); } if (transaction.getAmount() < SMALL_AMOUNT) { // set the flag to true flagState.update(true); long timer = context.timerService().currentProcessingTime() + ONE_MINUTE; context.timerService().registerProcessingTimeTimer(timer); timerState.update(timer); } } @Override public void onTimer(long timestamp, OnTimerContext ctx, Collector<Alert> out) { // remove flag after 1 minute timerState.clear(); flagState.clear(); } private void cleanUp(Context ctx) throws Exception { // delete timer Long timer = timerState.value(); ctx.timerService().deleteProcessingTimeTimer(timer); // clean up all state timerState.clear(); flagState.clear(); } }
4: IDEA里导入flink libarary
导入flink的lib和op连个包。
然后就可以Idea 运行和调试
