flink 1.13.2的pom.xml文件模板

flink 1.13.2的pom.xml文件模板

xml 复制代码
<?xml version="1.0" encoding="UTF-8"?>

<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>com.zbq</groupId>
  <artifactId>myflink</artifactId>
  <version>1.0-SNAPSHOT</version>

  <name>myflink</name>


  <properties>
    <flink.version>1.13.2</flink.version>
    <java.version>1.8</java.version>
    <scala.binary.version>2.12</scala.binary.version>
    <slf4j.version>1.7.30</slf4j.version>
  </properties>

  <dependencies>
    <!-- 引入Flink相关依赖-->
    <dependency>
      <groupId>org.apache.flink</groupId>
      <artifactId>flink-java</artifactId>
      <version>${flink.version}</version>
    </dependency>
    <dependency>
      <groupId>org.apache.flink</groupId>
      <artifactId>flink-streaming-java_${scala.binary.version}</artifactId>
      <version>${flink.version}</version>
    </dependency>
    <dependency>
      <groupId>org.apache.flink</groupId>
      <artifactId>flink-clients_${scala.binary.version}</artifactId>
      <version>${flink.version}</version>
    </dependency>

    <dependency>
      <groupId>org.apache.flink</groupId>
      <artifactId>flink-connector-kafka_${scala.binary.version}</artifactId>
      <version>${flink.version}</version>
    </dependency>
    <dependency>
      <groupId>org.apache.bahir</groupId>
      <artifactId>flink-connector-redis_2.11</artifactId>
      <version>1.0</version>
    </dependency>
    <dependency>
      <groupId>org.apache.flink</groupId>
      <artifactId>flink-connector-elasticsearch6_${scala.binary.version}</artifactId>
      <version>${flink.version}</version>
    </dependency>
    <dependency>
      <groupId>org.apache.flink</groupId>
      <artifactId>flink-connector-jdbc_${scala.binary.version}</artifactId>
      <version>${flink.version}</version>
    </dependency>
    <dependency>
      <groupId>mysql</groupId>
      <artifactId>mysql-connector-java</artifactId>
      <version>5.1.47</version>
    </dependency>

    <dependency>
      <groupId>org.apache.flink</groupId>
      <artifactId>flink-statebackend-rocksdb_${scala.binary.version}</artifactId>
      <version>1.13.0</version>
    </dependency>

    <dependency>
      <groupId>org.apache.flink</groupId>
      <artifactId>flink-table-api-java-bridge_${scala.binary.version}</artifactId>
      <version>${flink.version}</version>
    </dependency>
    <dependency>
      <groupId>org.apache.flink</groupId>
      <artifactId>flink-table-planner-blink_${scala.binary.version}</artifactId>
      <version>${flink.version}</version>
    </dependency>
    <dependency>
      <groupId>org.apache.flink</groupId>
      <artifactId>flink-streaming-scala_${scala.binary.version}</artifactId>
      <version>${flink.version}</version>
    </dependency>

    <dependency>
      <groupId>org.apache.flink</groupId>
      <artifactId>flink-csv</artifactId>
      <version>${flink.version}</version>
    </dependency>

    <dependency>
      <groupId>org.apache.flink</groupId>
      <artifactId>flink-cep_${scala.binary.version}</artifactId>
      <version>${flink.version}</version>
    </dependency>

    <!-- 引入日志管理相关依赖-->
    <dependency>
      <groupId>org.slf4j</groupId>
      <artifactId>slf4j-api</artifactId>
      <version>${slf4j.version}</version>
    </dependency>
    <dependency>
      <groupId>org.slf4j</groupId>
      <artifactId>slf4j-log4j12</artifactId>
      <version>${slf4j.version}</version>
    </dependency>
    <dependency>
      <groupId>org.apache.logging.log4j</groupId>
      <artifactId>log4j-to-slf4j</artifactId>
      <version>2.14.0</version>
    </dependency>

    <dependency>
      <groupId>org.apache.hadoop</groupId>
      <artifactId>hadoop-client</artifactId>
      <version>2.7.5</version>
      <scope>provided</scope>
    </dependency>

  </dependencies>


  <build>
    <plugins>
      <plugin>
        <groupId>org.apache.maven.plugins</groupId>
        <artifactId>maven-shade-plugin</artifactId>
        <version>3.2.4</version>
        <executions>
          <execution>
            <phase>package</phase>
            <goals>
              <goal>shade</goal>
            </goals>
            <configuration>
              <artifactSet>
                <excludes>
                  <exclude>com.google.code.findbugs:jsr305</exclude>
                  <exclude>org.slf4j:*</exclude>
                  <exclude>log4j:*</exclude>
                  <exclude>org.apache.hadoop:*</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 combine.children="append">
                <transformer
                        implementation="org.apache.maven.plugins.shade.resource.ServicesResourceTransformer">
                </transformer>
              </transformers>
            </configuration>
          </execution>
        </executions>
      </plugin>
    </plugins>
  </build>

</project>
相关推荐
阿里云大数据AI技术9 小时前
大数据公有云市场第一,阿里云占比47%!
大数据
Lx35214 小时前
Hadoop容错机制深度解析:保障作业稳定运行
大数据·hadoop
T062051418 小时前
工具变量-5G试点城市DID数据(2014-2025年
大数据
向往鹰的翱翔19 小时前
BKY莱德因:5大黑科技逆转时光
大数据·人工智能·科技·生活·健康医疗
鸿乃江边鸟19 小时前
向量化和列式存储
大数据·sql·向量化
IT毕设梦工厂20 小时前
大数据毕业设计选题推荐-基于大数据的客户购物订单数据分析与可视化系统-Hadoop-Spark-数据可视化-BigData
大数据·hadoop·数据分析·spark·毕业设计·源码·bigdata
java水泥工20 小时前
基于Echarts+HTML5可视化数据大屏展示-白茶大数据溯源平台V2
大数据·echarts·html5
广州腾科助你拿下华为认证1 天前
华为考试:HCIE数通考试难度分析
大数据·华为
在未来等你1 天前
Elasticsearch面试精讲 Day 17:查询性能调优实践
大数据·分布式·elasticsearch·搜索引擎·面试
l1t1 天前
利用美团龙猫用libxml2编写XML转CSV文件C程序
xml·c语言·libxml2·解析器