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code/Flink/flink-basis-java/pom.xml
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239
code/Flink/flink-basis-java/pom.xml
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<!--
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Licensed to the Apache Software Foundation (ASF) under one
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or more contributor license agreements. See the NOTICE file
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distributed with this work for additional information
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regarding copyright ownership. The ASF licenses this file
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to you under the Apache License, Version 2.0 (the
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"License"); you may not use this file except in compliance
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with the License. You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing,
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software distributed under the License is distributed on an
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"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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KIND, either express or implied. See the License for the
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specific language governing permissions and limitations
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under the License.
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-->
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<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
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xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
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<modelVersion>4.0.0</modelVersion>
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<groupId>com.heibaiying</groupId>
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<artifactId>flink-basis-java</artifactId>
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<version>1.0</version>
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<packaging>jar</packaging>
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<name>Flink Quickstart Job</name>
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<url>http://www.myorganization.org</url>
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<properties>
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<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
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<flink.version>1.9.0</flink.version>
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<java.version>1.8</java.version>
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<scala.binary.version>2.11</scala.binary.version>
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<maven.compiler.source>${java.version}</maven.compiler.source>
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<maven.compiler.target>${java.version}</maven.compiler.target>
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</properties>
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<repositories>
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<repository>
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<id>apache.snapshots</id>
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<name>Apache Development Snapshot Repository</name>
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<url>https://repository.apache.org/content/repositories/snapshots/</url>
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<releases>
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<enabled>false</enabled>
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</releases>
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<snapshots>
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<enabled>true</enabled>
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</snapshots>
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</repository>
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</repositories>
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<dependencies>
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<!-- Apache Flink dependencies -->
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<!-- These dependencies are provided, because they should not be packaged into the JAR file. -->
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<dependency>
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<groupId>org.apache.flink</groupId>
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<artifactId>flink-java</artifactId>
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<version>${flink.version}</version>
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<scope>provided</scope>
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</dependency>
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<dependency>
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<groupId>org.apache.flink</groupId>
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<artifactId>flink-streaming-java_${scala.binary.version}</artifactId>
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<version>${flink.version}</version>
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<scope>provided</scope>
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</dependency>
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<!-- Add connector dependencies here. They must be in the default scope (compile). -->
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<!-- Example:
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<dependency>
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<groupId>org.apache.flink</groupId>
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<artifactId>flink-connector-kafka-0.10_${scala.binary.version}</artifactId>
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<version>${flink.version}</version>
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</dependency>
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-->
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<!-- Add logging framework, to produce console output when running in the IDE. -->
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<!-- These dependencies are excluded from the application JAR by default. -->
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<dependency>
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<groupId>org.slf4j</groupId>
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<artifactId>slf4j-log4j12</artifactId>
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<version>1.7.7</version>
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<scope>runtime</scope>
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</dependency>
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<dependency>
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<groupId>log4j</groupId>
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<artifactId>log4j</artifactId>
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<version>1.2.17</version>
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<scope>runtime</scope>
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</dependency>
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<!-- https://mvnrepository.com/artifact/org.projectlombok/lombok -->
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<dependency>
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<groupId>org.projectlombok</groupId>
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<artifactId>lombok</artifactId>
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<version>1.18.10</version>
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<scope>provided</scope>
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</dependency>
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</dependencies>
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<build>
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<plugins>
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<!-- Java Compiler -->
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<plugin>
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<groupId>org.apache.maven.plugins</groupId>
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<artifactId>maven-compiler-plugin</artifactId>
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<version>3.1</version>
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<configuration>
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<source>${java.version}</source>
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<target>${java.version}</target>
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</configuration>
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</plugin>
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<!-- We use the maven-shade plugin to create a fat jar that contains all necessary dependencies. -->
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<!-- Change the value of <mainClass>...</mainClass> if your program entry point changes. -->
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<plugin>
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<groupId>org.apache.maven.plugins</groupId>
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<artifactId>maven-shade-plugin</artifactId>
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<version>3.0.0</version>
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<executions>
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<!-- Run shade goal on package phase -->
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<execution>
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<phase>package</phase>
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<goals>
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<goal>shade</goal>
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</goals>
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<configuration>
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<artifactSet>
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<excludes>
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<exclude>org.apache.flink:force-shading</exclude>
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<exclude>com.google.code.findbugs:jsr305</exclude>
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<exclude>org.slf4j:*</exclude>
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<exclude>log4j:*</exclude>
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</excludes>
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</artifactSet>
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<filters>
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<filter>
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<!-- Do not copy the signatures in the META-INF folder.
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Otherwise, this might cause SecurityExceptions when using the JAR. -->
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<artifact>*:*</artifact>
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<excludes>
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<exclude>META-INF/*.SF</exclude>
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<exclude>META-INF/*.DSA</exclude>
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<exclude>META-INF/*.RSA</exclude>
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</excludes>
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</filter>
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</filters>
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<transformers>
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<transformer implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
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<mainClass>com.heibaiying.StreamingJob</mainClass>
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</transformer>
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</transformers>
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</configuration>
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</execution>
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</executions>
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</plugin>
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</plugins>
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<pluginManagement>
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<plugins>
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<!-- This improves the out-of-the-box experience in Eclipse by resolving some warnings. -->
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<plugin>
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<groupId>org.eclipse.m2e</groupId>
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<artifactId>lifecycle-mapping</artifactId>
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<version>1.0.0</version>
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<configuration>
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<lifecycleMappingMetadata>
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<pluginExecutions>
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<pluginExecution>
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<pluginExecutionFilter>
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<groupId>org.apache.maven.plugins</groupId>
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<artifactId>maven-shade-plugin</artifactId>
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<versionRange>[3.0.0,)</versionRange>
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<goals>
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<goal>shade</goal>
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</goals>
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</pluginExecutionFilter>
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<action>
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<ignore/>
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</action>
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</pluginExecution>
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<pluginExecution>
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<pluginExecutionFilter>
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<groupId>org.apache.maven.plugins</groupId>
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<artifactId>maven-compiler-plugin</artifactId>
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<versionRange>[3.1,)</versionRange>
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<goals>
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<goal>testCompile</goal>
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<goal>compile</goal>
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</goals>
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</pluginExecutionFilter>
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<action>
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<ignore/>
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</action>
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</pluginExecution>
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</pluginExecutions>
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</lifecycleMappingMetadata>
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</configuration>
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</plugin>
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</plugins>
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</pluginManagement>
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</build>
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<!-- This profile helps to make things run out of the box in IntelliJ -->
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<!-- Its adds Flink's core classes to the runtime class path. -->
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<!-- Otherwise they are missing in IntelliJ, because the dependency is 'provided' -->
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<profiles>
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<profile>
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<id>add-dependencies-for-IDEA</id>
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<activation>
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<property>
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<name>idea.version</name>
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</property>
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</activation>
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<dependencies>
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<dependency>
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<groupId>org.apache.flink</groupId>
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<artifactId>flink-java</artifactId>
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<version>${flink.version}</version>
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<scope>compile</scope>
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</dependency>
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<dependency>
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<groupId>org.apache.flink</groupId>
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<artifactId>flink-streaming-java_${scala.binary.version}</artifactId>
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<version>${flink.version}</version>
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<scope>compile</scope>
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</dependency>
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</dependencies>
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</profile>
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</profiles>
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</project>
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@ -0,0 +1,45 @@
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/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package com.heibaiying;
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import org.apache.flink.api.java.ExecutionEnvironment;
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import org.apache.flink.api.java.operators.DataSource;
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/**
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* Skeleton for a Flink Batch Job.
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*
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* <p>For a tutorial how to write a Flink batch application, check the
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* tutorials and examples on the <a href="http://flink.apache.org/docs/stable/">Flink Website</a>.
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*
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* <p>To package your application into a JAR file for execution,
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* change the main class in the POM.xml file to this class (simply search for 'mainClass')
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* and run 'mvn clean package' on the command line.
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*/
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public class BatchJob {
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public static void main(String[] args) throws Exception {
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final String rootPath = "D:\\BigData-Notes\\code\\Flink\\flink-basis-java\\src\\main\\resources\\";
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// set up the batch execution environment
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final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
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DataSource<String> readTextFile = env.readTextFile(rootPath + "log4j.properties");
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readTextFile.print();
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}
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}
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@ -0,0 +1,64 @@
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/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package com.heibaiying;
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import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
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/**
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* Skeleton for a Flink Streaming Job.
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*
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* <p>For a tutorial how to write a Flink streaming application, check the
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* tutorials and examples on the <a href="http://flink.apache.org/docs/stable/">Flink Website</a>.
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*
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* <p>To package your application into a JAR file for execution, run
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* 'mvn clean package' on the command line.
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*
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* <p>If you change the name of the main class (with the public static void main(String[] args))
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* method, change the respective entry in the POM.xml file (simply search for 'mainClass').
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*/
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public class StreamingJob {
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public static void main(String[] args) throws Exception {
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// set up the streaming execution environment
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final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
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/*
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* Here, you can start creating your execution plan for Flink.
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*
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* Start with getting some data from the environment, like
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* env.readTextFile(textPath);
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*
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* then, transform the resulting DataStream<String> using operations
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* like
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* .filter()
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* .flatMap()
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* .join()
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* .coGroup()
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*
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* and many more.
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* Have a look at the programming guide for the Java API:
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*
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* http://flink.apache.org/docs/latest/apis/streaming/index.html
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*
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*/
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// execute program
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env.execute("Flink Streaming Java API Skeleton");
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}
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}
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@ -22,7 +22,7 @@ under the License.
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<modelVersion>4.0.0</modelVersion>
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<groupId>com.heibaiying</groupId>
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<artifactId>flink-basis</artifactId>
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<artifactId>flink-basis-scala</artifactId>
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<version>1.0</version>
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<packaging>jar</packaging>
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@ -0,0 +1,23 @@
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################################################################################
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# Licensed to the Apache Software Foundation (ASF) under one
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# 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
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# "License"); you may not use this file except in compliance
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||||
# with the License. You may obtain a copy of the License at
|
||||
#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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||||
# See the License for the specific language governing permissions and
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||||
# limitations under the License.
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################################################################################
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log4j.rootLogger=INFO, console
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log4j.appender.console=org.apache.log4j.ConsoleAppender
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log4j.appender.console.layout=org.apache.log4j.PatternLayout
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log4j.appender.console.layout.ConversionPattern=%d{HH:mm:ss,SSS} %-5p %-60c %x - %m%n
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@ -6,7 +6,7 @@ object WordCountBatch {
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def main(args: Array[String]): Unit = {
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val benv = ExecutionEnvironment.getExecutionEnvironment
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val text = benv.readTextFile("D:\\BigData-Notes\\code\\Flink\\flink-basis\\src\\main\\resources\\wordcount.txt")
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val text = benv.readTextFile("D:\\BigData-Notes\\code\\Flink\\flink-basis-scala\\src\\main\\resources\\wordcount.txt")
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val counts = text.flatMap { _.toLowerCase.split(",") filter { _.nonEmpty } }.map { (_, 1) }.groupBy(0).sum(1)
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counts.print()
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}
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