这篇文章主要介绍“springboot集成spark并使用spark-sql的方法”的相关知识，小编通过实际案例向大家展示操作过程，操作方法简单快捷，实用性强，希望这篇“springboot集成spark并使用spark-sql的方法”文章能帮助大家解决问题。
首先添加相关依赖：
<?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>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>1.5.6.RELEASE</version>
<relativePath />
</parent>
<groupId>com.cord</groupId>
<artifactId>spark-example</artifactId>
<version>1.0-SNAPSHOT</version>
<name>spark-example</name>
<!-- FIXME change it to the project's website -->
<url>http://www.example.com</url>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
<java.version>1.8</java.version>
<scala.version>2.10.3</scala.version>
<maven.compiler.source>1.8</maven.compiler.source>
<maven.compiler.target>1.8</maven.compiler.target>
</properties>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter</artifactId>
<version>1.5.6.RELEASE</version>
<exclusions>
<exclusion>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-logging</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.10</artifactId>
<version>1.6.1</version>
<scope>provided</scope>
<exclusions>
<exclusion>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-log4j12</artifactId>
</exclusion>
<exclusion>
<groupId>log4j</groupId>
<artifactId>log4j</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.10</artifactId>
<version>1.6.1</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-hive_2.10</artifactId>
<version>1.6.1</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.scala-lang</groupId>
<artifactId>scala-library</artifactId>
<version>${scala.version}</version>
<scope>provided</scope>
</dependency>
<!-- yarn-cluster模式 -->
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>5.1.22</version>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
<version>1.5.6.RELEASE</version>
</dependency>
</dependencies>
<configuration>
<keepDependenciesWithProvidedScope>false</keepDependenciesWithProvidedScope>
<createDependencyReducedPom>false</createDependencyReducedPom>
<filters>
<filter>
<artifact>*:*</artifact>
<excludes>
<exclude>META-INF/*.SF</exclude>
<exclude>META-INF/*.DSA</exclude>
<exclude>META-INF/*.RSA</exclude>
</excludes>
</filter>
</filters>
<transformers>
<transformer
implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">
<resource>META-INF/spring.handlers</resource>
</transformer>
<transformer
implementation="org.springframework.boot.maven.PropertiesMergingResourceTransformer">
<resource>META-INF/spring.factories</resource>
</transformer>
<transformer
implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">
<resource>META-INF/spring.schemas</resource>
</transformer>
<transformer
implementation="org.apache.maven.plugins.shade.resource.ServicesResourceTransformer" />
<transformer
implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
<mainClass>com.cord.StartApplication</mainClass>
</transformer>
</transformers>
</configuration>
<executions>
<execution>
<phase>package</phase>
<goals>
<goal>shade</goal>
</goals>
</execution>
</executions>
</plugin>
</plugins>
</build>
</project>需要注意的是依赖中排除掉的日志模块，以及特殊的打包方式
定义配置类:
SparkContextBean.class
@Configuration
public class SparkContextBean {
private String appName = "sparkExp";
private String master = "local";
@Bean
@ConditionalOnMissingBean(SparkConf.class)
public SparkConf sparkConf() throws Exception {
SparkConf conf = new SparkConf().setAppName(appName).setMaster(master);
return conf;
}
@Bean
@ConditionalOnMissingBean
public JavaSparkContext javaSparkContext() throws Exception {
return new JavaSparkContext(sparkConf());
}
@Bean
@ConditionalOnMissingBean
public HiveContext hiveContext() throws Exception {
return new HiveContext(javaSparkContext());
}
......
}启动类：
StartApplication.class
@SpringBootApplication
public class StartApplication implements CommandLineRunner {
@Autowired
private HiveContext hc;
public static void main(String[] args) {
SpringApplication.run(StartApplication.class, args);
}
@Override
public void run(String... args) throws Exception {
DataFrame df = hc.sql("select count(1) from LCS_DB.STAFF_INFO");
List<Long> result = df.javaRDD().map((Function<Row, Long>) row -> {
return row.getLong(0);
}).collect();
result.stream().forEach(System.out::println);
}执行方式：
spark-submit \ --class com.cord.StartApplication \ --executor-memory 4G \ --num-executors 8 \ --master yarn-client \ /data/cord/spark-example-1.0-SNAPSHOT.jar
关于“springboot集成spark并使用spark-sql的方法”的内容就介绍到这里了，感谢大家的阅读。如果想了解更多行业相关的知识，可以关注亿速云行业资讯频道，小编每天都会为大家更新不同的知识点。
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