Spark2.x SparkCore WordCount Demo
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版本
scala : 2.11
spark : 2.20
1、pom.xml
<?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>org.exercise</groupId> <artifactId>scala</artifactId> <version>1.0-SNAPSHOT</version> <properties> <maven.compiler.source>1.8</maven.compiler.source> <maven.compiler.target>1.8</maven.compiler.target> <scala.version>2.11.8</scala.version> <spark.version>2.2.0</spark.version> <hadoop.version>2.7.3</hadoop.version> <encoding>UTF-8</encoding> <akka.version>2.4.17</akka.version> <scala.compat.version>2.11</scala.compat.version> <lucene.version>6.5.1</lucene.version> </properties> <dependencies> <dependency> <groupId>org.apache.httpcomponents</groupId> <artifactId>httpclient</artifactId> <version>4.5.2</version> </dependency> <dependency> <groupId>org.apache.logging.log4j</groupId> <artifactId>log4j-api</artifactId> <version>2.3</version> </dependency> <dependency> <groupId>commons-logging</groupId> <artifactId>commons-logging</artifactId> <version>1.2</version> </dependency> <!-- <dependency>--> <!-- <groupId>org.slf4j</groupId>--> <!-- <artifactId>slf4j-log4j12</artifactId>--> <!-- <version>1.7.25</version>--> <!-- <scope>test</scope>--> <!-- </dependency>--> <dependency> <groupId>org.slf4j</groupId> <artifactId>slf4j-nop</artifactId> <version>1.7.2</version> </dependency> <!-- lucene的核心 --> <dependency> <groupId>org.apache.lucene</groupId> <artifactId>lucene-core</artifactId> <version>${lucene.version}</version> </dependency> <!-- lucene的分词器，有标准的英文相关的分词器，没有中文的 --> <dependency> <groupId>org.apache.lucene</groupId> <artifactId>lucene-analyzers-common</artifactId> <version>${lucene.version}</version> </dependency> <!-- 查询解析器 --> <dependency> <groupId>org.apache.lucene</groupId> <artifactId>lucene-queryparser</artifactId> <version>${lucene.version}</version> </dependency> <!-- 各种查询方式 --> <dependency> <groupId>org.apache.lucene</groupId> <artifactId>lucene-queries</artifactId> <version>${lucene.version}</version> </dependency> <!-- 关键字高亮 --> <dependency> <groupId>org.apache.lucene</groupId> <artifactId>lucene-highlighter</artifactId> <version>${lucene.version}</version> </dependency> <dependency> <groupId>org.apache.lucene</groupId> <artifactId>lucene-demo</artifactId> <version>${lucene.version}</version> </dependency> <dependency> <groupId>junit</groupId> <artifactId>junit</artifactId> <version>4.12</version> </dependency> <dependency> <groupId>log4j</groupId> <artifactId>log4j</artifactId> <version>1.2.17</version> </dependency> <!-- <dependency>--> <!-- <groupId>org.slf4j</groupId>--> <!-- <artifactId>slf4j-api</artifactId>--> <!-- <version>1.7.22</version>--> <!-- </dependency>--> <!--######################################################--> <!-- es的客户端--> <dependency> <groupId>org.elasticsearch.client</groupId> <artifactId>transport</artifactId> <version>5.4.3</version> </dependency> <!-- 依赖2.x的log4j --> <dependency> <groupId>org.apache.logging.log4j</groupId> <artifactId>log4j-api</artifactId> <version>2.8.2</version> </dependency> <dependency> <groupId>org.apache.logging.log4j</groupId> <artifactId>log4j-core</artifactId> <version>2.8.2</version> </dependency> <!-- 单元测试 --> <dependency> <groupId>junit</groupId> <artifactId>junit</artifactId> <version>4.12</version> </dependency> <!--###########################################################--> <dependency> <groupId>com.github.scopt</groupId> <artifactId>scopt_2.10</artifactId> <version>3.2.0</version> </dependency> <!-- 添加akka的actor依赖 --> <dependency> <groupId>com.typesafe.akka</groupId> <artifactId>akka-actor_${scala.compat.version}</artifactId> <version>${akka.version}</version> </dependency> <!-- 多进程之间的Actor通信 --> <dependency> <groupId>com.typesafe.akka</groupId> <artifactId>akka-remote_${scala.compat.version}</artifactId> <version>${akka.version}</version> </dependency> <!-- 导入scala的依赖 --> <dependency> <groupId>org.scala-lang</groupId> <artifactId>scala-library</artifactId> <version>${scala.version}</version> </dependency> <!-- 导入spark的依赖 --> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-core_2.11</artifactId> <version>${spark.version}</version> </dependency> <!-- 指定hadoop-client API的版本 --> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-client</artifactId> <version>${hadoop.version}</version> </dependency> <!-- 导入spark sql的依赖 --> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-sql_2.11</artifactId> <version>${spark.version}</version> </dependency> <!-- spark如果想整合Hive，必须加入hive的支持 --> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-hive_2.11</artifactId> <version>2.2.0</version> </dependency> <!-- spark steaming的依赖 --> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-streaming_2.11</artifactId> <version>2.2.0</version> </dependency> <!-- spark-mllib的依赖 --> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-mllib_2.11</artifactId> <version>2.2.0</version> </dependency> <!-- sparkSteaming跟Kafka整合的依赖 --> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-streaming-kafka-0-8_2.11</artifactId> <version>${spark.version}</version> </dependency> <!-- mysql的连接驱动依赖 --> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> <version>8.0.16</version> </dependency> <dependency> <groupId>redis.clients</groupId> <artifactId>jedis</artifactId> <version>2.9.0</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>3.5.1</version> </plugin> </plugins> </pluginManagement> <plugins> <plugin> <groupId>net.alchim31.maven</groupId> <artifactId>scala-maven-plugin</artifactId> <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> <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以上是关于Spark2.x SparkCore WordCount Demo的主要内容，如果未能解决你的问题，请参考以下文章