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
AWS官方合作商4 小时前
亚马逊云科技 Amazon Pinpoint 解决方案:构建智能全渠道互动平台,重塑用户增长体验
大数据·科技·aws
无人赴约的cat5 小时前
【20250607接单】Spark + Scala + IntelliJ 项目的开发环境配置从零教学
大数据·spark·scala
£菜鸟也有梦6 小时前
Flume进阶之路:从基础到高阶的飞跃
大数据·hive·hadoop·flume
lcw_lance7 小时前
智慧园区综合运营管理平台(SmartPark)和安全EHS平台的分工与协作
大数据·人工智能
阿里云大数据AI技术9 小时前
从MaxCompute到Milvus:通过DataWorks进行数据同步,实现海量数据高效相似性检索
大数据·数据库·数据分析
嫄码9 小时前
kafka快速入门与知识汇总
java·大数据·分布式·中间件·kafka·linq
白鲸开源10 小时前
如何将SeaTunnel MySQL-CDC与Databend 高效整合?格式与方案全解析
大数据
深兰科技10 小时前
南昌市新建区委书记陈奕蒙会见深兰科技集团董事长陈海波一行
大数据·人工智能·ai应用·深兰科技·陈奕蒙
Detachym10 小时前
CentOS7下的大数据NoSQL数据库HBase集群部署
大数据·nosql·hbase
zh_1999510 小时前
Spark 之 入门讲解详细版(1)
大数据·spark·mapreduce·数据库架构·etl·涛思数据·odps