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
柒间1 小时前
Elasticsearch 常用操作命令整合 (cURL 版本)
大数据·数据库·elasticsearch
hashiqimiya2 小时前
android studio中修改java逻辑对应配置的xml文件
xml·java·android studio
G皮T4 小时前
【Elasticsearch】映射:fielddata 详解
大数据·elasticsearch·搜索引擎·映射·搜索·mappings·fielddata
viperrrrrrrrrr74 小时前
大数据学习(132)-HIve数据分析
大数据·hive·学习
夜影风5 小时前
大数据清洗加工概述
大数据
余+185381628006 小时前
短视频矩阵系统文案创作功能开发实践,定制化开发
大数据·人工智能
阿里云大数据AI技术9 小时前
一体系数据平台的进化:基于阿里云 EMR Serverless Spark的持续演进
大数据·spark·serverless
TDengine (老段)10 小时前
TDengine 开发指南—— UDF函数
java·大数据·数据库·物联网·数据分析·tdengine·涛思数据
Stanford_110610 小时前
关于大数据的基础知识(二)——国内大数据产业链分布结构
大数据·开发语言·物联网·微信小程序·微信公众平台·twitter·微信开放平台