本篇内容主要讲解“maven中基于spark-2.3.1常用的依赖和插件整理”，感兴趣的朋友不妨来看看。本文介绍的方法操作简单快捷，实用性强。下面就让小编来带大家学习“maven中基于spark-2.3.1常用的依赖和插件整理”吧!
<?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.baidukt</groupId> <artifactId>spark</artifactId> <version>1.0-SNAPSHOT</version> <packaging>jar</packaging> <properties> <maven.compiler.source>1.8</maven.compiler.source> <maven.compiler.target>1.8</maven.compiler.target> <scala.version>2.11.12</scala.version> <spark.version>2.3.1</spark.version> <hadoop.version>2.7.6</hadoop.version> <kafka-clients.version>2.0.1</kafka-clients.version> <kafka-streams.version>2.0.1</kafka-streams.version> <encoding>UTF-8</encoding> </properties> <dependencies> <!-- 导入scala的依赖 --> <dependency> <groupId>org.scala-lang</groupId> <artifactId>scala-library</artifactId> <version>${scala.version}</version> </dependency> <!-- 导入spark core的依赖 --> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-core_2.11</artifactId> <version>${spark.version}</version> </dependency> <!-- 导入spark sql的依赖 --> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-sql_2.11</artifactId> <version>${spark.version}</version> </dependency> <!-- 导入spark graphx的依赖 --> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-graphx_2.11</artifactId> <version>${spark.version}</version> </dependency> <!-- spark Streaming 的依赖--> <!--start--> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-streaming_2.11</artifactId> <version>${spark.version}</version> </dependency> <!--spark 跟kafka 整合的依赖--> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-streaming-kafka-0-10_2.11</artifactId> <version>${spark.version}</version> </dependency> <!--kafka客户端依赖--> <dependency> <groupId>org.apache.kafka</groupId> <artifactId>kafka-clients</artifactId> <version>${kafka-clients.version}</version> </dependency> <dependency> <groupId>org.apache.kafka</groupId> <artifactId>kafka-streams</artifactId> <version>${kafka-streams.version}</version> </dependency> <!--end--> <!--spark整合hive--> <!--start--> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-hive_2.11</artifactId> <version>${spark.version}</version> </dependency> <dependency> <groupId>org.apache.hbase</groupId> <artifactId>hbase-common</artifactId> <version>2.0.1</version> </dependency> <dependency> <groupId>org.apache.hbase</groupId> <artifactId>hbase-client</artifactId> <version>2.0.1</version> </dependency> <dependency> <groupId>org.apache.hbase</groupId> <artifactId>hbase-server</artifactId> <version>1.2.3</version> </dependency> <dependency> <groupId>org.apache.hbase</groupId> <artifactId>hbase</artifactId> <version>2.0.1</version> <type>pom</type> </dependency> <!--end--> <!--hadoop相关依赖--> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-client</artifactId> <version>${hadoop.version}</version> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-hdfs</artifactId> <version>${hadoop.version}</version> </dependency> <!-- 导入zookeeper依赖 --> <dependency> <groupId>org.apache.zookeeper</groupId> <artifactId>zookeeper</artifactId> <version>3.4.10</version> </dependency> <!-- 导入redis客户端jedis依赖 --> <dependency> <groupId>redis.clients</groupId> <artifactId>jedis</artifactId> <version>2.9.0</version> </dependency> <dependency> <groupId>log4j</groupId> <artifactId>log4j</artifactId> <version>1.2.17</version> </dependency> <dependency> <groupId>com.typesafe</groupId> <artifactId>config</artifactId> <version>1.3.0</version> </dependency> <dependency> <groupId>commons-httpclient</groupId> <artifactId>commons-httpclient</artifactId> <version>3.1</version> </dependency> <dependency> <groupId>com.alibaba</groupId> <artifactId>fastjson</artifactId> <version>1.2.35</version> </dependency> <dependency> <groupId>ch.hsr</groupId> <artifactId>geohash</artifactId> <version>1.3.0</version> </dependency> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> <version>5.1.47</version> </dependency> </dependencies> <build> <pluginManagement> <plugins> <!-- 编译scala的插件 --> <!--<plugin>--> <!--<groupId>net.alchim31.maven</groupId>--> <!--<artifactId>scala-maven-plugin</artifactId>--> <!--<version>3.2.2</version>--> <!--</plugin>--> <!-- 编译java的插件 --> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-compiler-plugin</artifactId> <version>3.8.0</version> <!-- 所有的编译都依照JDK1.8来搞 --> <configuration> <source>1.8</source> <target>1.8</target> </configuration> </plugin> </plugins> </pluginManagement> <plugins> <!--<plugin>--> <!--<groupId>net.alchim31.maven</groupId>--> <!--<artifactId>scala-maven-plugin</artifactId>--> <!--<version>3.2.2</version>--> <!--<executions>--> <!--<execution>--> <!--<id>scala-compile-first</id>--> <!--<phase>process-resources</phase>--> <!--<goals>--> <!--<goal>add-source</goal>--> <!--<goal>compile</goal>--> <!--</goals>--> <!--</execution>--> <!--<execution>--> <!--<id>scala-test-compile</id>--> <!--<phase>process-test-resources</phase>--> <!--<goals>--> <!--<goal>testCompile</goal>--> <!--</goals>--> <!--</execution>--> <!--</executions>--> <!--</plugin>--> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-compiler-plugin</artifactId> <version>3.8.0</version> <executions> <execution> <phase>compile</phase> <goals> <goal>compile</goal> </goals> </execution> </executions> </plugin> <!-- 打jar插件 --> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-shade-plugin</artifactId> <version>3.2.1</version> <executions> <execution> <phase>package</phase> <goals> <goal>shade</goal> </goals> <configuration> <filters> <filter> <artifact>*:*</artifact> <excludes> <exclude>META-INF/*.SF</exclude> <exclude>META-INF/*.DSA</exclude> <exclude>META-INF/*.RSA</exclude> </excludes> </filter> </filters> </configuration> </execution> </executions> </plugin> </plugins> </build> </project>到此，相信大家对“maven中基于spark-2.3.1常用的依赖和插件整理”有了更深的了解，不妨来实际操作一番吧！这里是亿速云网站，更多相关内容可以进入相关频道进行查询，关注我们，继续学习！
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