springboot和hadoop2.7.7集成开发

一、本人在腾讯云安装hadoop2.7.7，详细安装请看之前的博客

二、pom.xml文件

<?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>2.1.7.RELEASE</version>
        <relativePath/> <!-- lookup parent from repository -->
    </parent>
    <groupId>com.hadoop</groupId>
    <artifactId>demo</artifactId>
    <version>0.0.1-SNAPSHOT</version>
    <name>demo</name>
    <description>Demo project for Spring Boot</description>

    <properties>
        <java.version>1.8</java.version>
        <hadoop.version>2.7.7</hadoop.version>
    </properties>

    <dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter</artifactId>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.springframework.boot/spring-boot-starter-web -->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
            <version>2.1.3.RELEASE</version>
        </dependency>

        <!-- https://mvnrepository.com/artifact/com.baomidou/mybatis-plus-boot-starter -->
        <dependency>
            <groupId>com.baomidou</groupId>
            <artifactId>mybatis-plus-boot-starter</artifactId>
            <version>2.2.0</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.projectlombok/lombok -->
        <dependency>
            <groupId>org.projectlombok</groupId>
            <artifactId>lombok</artifactId>
            <version>1.16.20</version>
            <scope>provided</scope>
        </dependency>
        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <scope>runtime</scope>
        </dependency>
        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>druid</artifactId>
            <version>1.1.0</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-client</artifactId>
            <version>${hadoop.version}</version>
            <exclusions>
                <exclusion>
                    <groupId>org.slf4j</groupId>
                    <artifactId>slf4j-log4j12</artifactId>
                </exclusion>
                <exclusion>
                    <groupId>javax.servlet</groupId>
                    <artifactId>servlet-api</artifactId>
                </exclusion>
            </exclusions>
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-common</artifactId>
            <version>${hadoop.version}</version>
            <exclusions>
                <exclusion>
                    <groupId>org.slf4j</groupId>
                    <artifactId>slf4j-log4j12</artifactId>
                </exclusion>
                <exclusion>
                    <groupId>javax.servlet</groupId>
                    <artifactId>servlet-api</artifactId>
                </exclusion>
            </exclusions>
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-hdfs</artifactId>
            <version>${hadoop.version}</version>
            <exclusions>
                <exclusion>
                    <groupId>org.slf4j</groupId>
                    <artifactId>slf4j-log4j12</artifactId>
                </exclusion>
                <exclusion>
                    <groupId>javax.servlet</groupId>
                    <artifactId>servlet-api</artifactId>
                </exclusion>
            </exclusions>
        </dependency>
    </dependencies>

    <build>
        <plugins>
            <plugin>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-maven-plugin</artifactId>
            </plugin>
        </plugins>
    </build>

    <profiles>
        <profile>
            <id>dev</id>
            <properties>
                <activatedProperties>dev</activatedProperties>
            </properties>
            <!-- 这里表明默认使用dev环境配置文件 -->
            <activation>
                <activeByDefault>true</activeByDefault>
            </activation>
        </profile>
        <profile>
            <id>test</id>
            <properties>
                <activatedProperties>test</activatedProperties>
            </properties>
        </profile>
        <profile>
            <id>prod</id>
            <properties>
                <activatedProperties>prod</activatedProperties>
            </properties>
        </profile>
    </profiles>

</project>

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三、yml文件

spring: profiles: active: @activatedProperties@ main: show-banner: false hadoop.name-node: hdfs://132.232.44.82:9000
hadoop.namespace: /mydata # hadoop: # fsUri: hdfs://132.232.44.82:9000
 #端口 server: port: 8080 #log日志 logging: level: com: hadoop: demo: dao: debug #mybatis-plus mybatis-plus: 　　typeAliasesPackage: com.hadoop.demo.entity 　　mapperLocations: classpath:mapper/*.xml --- #开发配置 spring: profiles: dev datasource: url: jdbc:mysql://localhost:3306/test?useUnicode=true&characterEncoding=utf-8&useSSL=true&serverTimezone=GMT%2B8 #url: jdbc:mysql://localhost:3306/test username: root password: yang156122 driver-class-name: com.mysql.jdbc.Driver # 使用druid数据源 type: com.alibaba.druid.pool.DruidDataSource

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四、HdfsUtils.java

package com.hadoop.demo.utils; import lombok.extern.slf4j.Slf4j; import org.apache.commons.lang.StringUtils; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.*; import org.apache.hadoop.hdfs.DistributedFileSystem; import org.apache.hadoop.hdfs.protocol.DatanodeInfo; import java.io.IOException; import java.net.URI; /** * hdfs基本操做 */ @Slf4j public class HdfsUtils { /** * 获取文件系统 * @param hdfsUri nameNode地址 如"hdfs://10.10.1.142:9000" * @return
     */
    public static FileSystem getFileSystem(String hdfsUri) { //读取配置文件
        Configuration conf = new Configuration(); // 文件系统
        FileSystem fs = null; if(StringUtils.isBlank(hdfsUri)){ // 返回默认文件系统 若是在 Hadoop集群下运行，使用此种方法可直接获取默认文件系统
            try { fs = FileSystem.get(conf); } catch (IOException e) { log.error("", e); } }else{ // 返回指定的文件系统,若是在本地测试，须要使用此种方法获取文件系统
            try { URI uri = new URI(hdfsUri.trim()); fs = FileSystem.get(uri,conf); } catch (Exception e) { log.error("", e); } } return fs; } /** * 建立文件目录 * * @param hdfsUri * @param path */
    public static void mkdir(String hdfsUri, String path) { try { // 获取文件系统
            FileSystem fs = getFileSystem(hdfsUri); if(StringUtils.isNotBlank(hdfsUri)){ path = hdfsUri + path; } // 建立目录
            fs.mkdirs(new Path(path)); //释放资源
 fs.close(); } catch (IllegalArgumentException | IOException e) { log.error("", e); } } /** * 删除文件或者文件目录 * * @param path */
    public static void rmdir(String hdfsUri,String path) { try { // 返回FileSystem对象
            FileSystem fs = getFileSystem(hdfsUri); if(StringUtils.isNotBlank(hdfsUri)){ path = hdfsUri + path; } // 删除文件或者文件目录 delete(Path f) 此方法已经弃用
            fs.delete(new Path(path),true); // 释放资源
 fs.close(); } catch (IllegalArgumentException | IOException e) { log.error("", e); } } /** * 根据filter获取目录下的文件 * * @param path * @param pathFilter * @return String[] */
    public static String[] listFile(String hdfsUri, String path,PathFilter pathFilter) { String[] files = new String[0]; try { // 返回FileSystem对象
            FileSystem fs = getFileSystem(hdfsUri); if(StringUtils.isNotBlank(hdfsUri)){ path = hdfsUri + path; } FileStatus[] status; if(pathFilter != null){ // 根据filter列出目录内容
                status = fs.listStatus(new Path(path),pathFilter); }else{ // 列出目录内容
                status = fs.listStatus(new Path(path)); } // 获取目录下的全部文件路径
            Path[] listedPaths = FileUtil.stat2Paths(status); // 转换String[]
            if (listedPaths != null && listedPaths.length > 0){ files = new String[listedPaths.length]; for (int i = 0; i < files.length; i++){ files[i] = listedPaths[i].toString(); } } // 释放资源
 fs.close(); } catch (IllegalArgumentException | IOException e) { log.error("", e); } return files; } /** * 文件上传至 HDFS * @param hdfsUri * @param delSrc 指是否删除源文件，true为删除，默认为false * @param overwrite * @param srcFile 源文件，上传文件路径 * @param destPath hdfs的目的路径 */
    public static void copyFileToHDFS(String hdfsUri,boolean delSrc, boolean overwrite,String srcFile,String destPath) { // 源文件路径是Linux下的路径，若是在 windows 下测试，须要改写为Windows下的路径，好比D://hadoop/djt/weibo.txt
        Path srcPath = new Path(srcFile); // 目的路径
        if(StringUtils.isNotBlank(hdfsUri)){ destPath = hdfsUri + destPath; } Path dstPath = new Path(destPath); // 实现文件上传
        try { // 获取FileSystem对象
            FileSystem fs = getFileSystem(hdfsUri); fs.copyFromLocalFile(srcPath, dstPath); fs.copyFromLocalFile(delSrc,overwrite,srcPath, dstPath); //释放资源
 fs.close(); } catch (IOException e) { log.error("", e); } } /** * 从 HDFS 下载文件 * * @param srcFile * @param destPath 文件下载后,存放地址 */
    public static void getFile(String hdfsUri, String srcFile,String destPath) { // 源文件路径
        if(StringUtils.isNotBlank(hdfsUri)){ srcFile = hdfsUri + srcFile; } Path srcPath = new Path(srcFile); Path dstPath = new Path(destPath); try { // 获取FileSystem对象
            FileSystem fs = getFileSystem(hdfsUri); // 下载hdfs上的文件
 fs.copyToLocalFile(srcPath, dstPath); // 释放资源
 fs.close(); } catch (IOException e) { log.error("", e); } } /** * 获取 HDFS 集群节点信息 * * @return DatanodeInfo[] */
    public static DatanodeInfo[] getHDFSNodes(String hdfsUri) { // 获取全部节点
        DatanodeInfo[] dataNodeStats = new DatanodeInfo[0]; try { // 返回FileSystem对象
            FileSystem fs = getFileSystem(hdfsUri); // 获取分布式文件系统
            DistributedFileSystem hdfs = (DistributedFileSystem)fs; dataNodeStats = hdfs.getDataNodeStats(); } catch (IOException e) { log.error("", e); } return dataNodeStats; } /** * 查找某个文件在 HDFS集群的位置 * * @param filePath * @return BlockLocation[] */
    public static BlockLocation[] getFileBlockLocations(String hdfsUri, String filePath) { // 文件路径
        if(StringUtils.isNotBlank(hdfsUri)){ filePath = hdfsUri + filePath; } Path path = new Path(filePath); // 文件块位置列表
        BlockLocation[] blkLocations = new BlockLocation[0]; try { // 返回FileSystem对象
            FileSystem fs = getFileSystem(hdfsUri); // 获取文件目录
            FileStatus filestatus = fs.getFileStatus(path); //获取文件块位置列表
            blkLocations = fs.getFileBlockLocations(filestatus, 0, filestatus.getLen()); } catch (IOException e) { log.error("", e); } return blkLocations; } /** * 判断目录是否存在 * @param hdfsUri * @param filePath * @param create * @return
     */
    public boolean existDir(String hdfsUri,String filePath, boolean create){ boolean flag = false; if (StringUtils.isEmpty(filePath)){ return flag; } try{ Path path = new Path(filePath); // FileSystem对象
            FileSystem fs = getFileSystem(hdfsUri); if (create){ if (!fs.exists(path)){ fs.mkdirs(path); } } if (fs.isDirectory(path)){ flag = true; } }catch (Exception e){ log.error("", e); } return flag; } }

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五、HadoopConfig.java

package com.hadoop.demo.config; import lombok.extern.slf4j.Slf4j; import org.apache.hadoop.fs.FileSystem; import org.springframework.beans.factory.annotation.Value; import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; import java.net.URI; @Configuration @ConditionalOnProperty(name="hadoop.name-node") @Slf4j public class HadoopConfig { @Value("${hadoop.name-node}") private String nameNode; /** * Configuration conf=new Configuration（）； * 建立一个Configuration对象时，其构造方法会默认加载hadoop中的两个配置文件， * 分别是hdfs-site.xml以及core-site.xml，这两个文件中会有访问hdfs所需的参数值， * 主要是fs.default.name，指定了hdfs的地址，有了这个地址客户端就能够经过这个地址访问hdfs了。 * 便可理解为configuration就是hadoop中的配置信息。 * @return
     */ @Bean("fileSystem") public FileSystem createFs() throws Exception{ //读取配置文件
        org.apache.hadoop.conf.Configuration conf = new org.apache.hadoop.conf.Configuration(); conf.set("fs.defalutFS", nameNode); conf.set("dfs.replication", "1"); FileSystem fs = null; //conf.set("fs.defaultFS","hdfs://ns1"); //指定访问hdfs的客户端身份 //fs = FileSystem.get(new URI(nameNode), conf, "root"); // 文件系统 // 返回指定的文件系统,若是在本地测试，须要使用此种方法获取文件系统
        try { URI uri = new URI(nameNode.trim()); fs = FileSystem.get(uri,conf,"root"); } catch (Exception e) { log.error("", e); } System.out.println("fs.defaultFS: "+conf.get("fs.defaultFS")); return fs; } }

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六、HadoopTemplate.java

package com.hadoop.demo.config; import lombok.extern.slf4j.Slf4j; import org.apache.commons.lang.StringUtils; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.Path; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.beans.factory.annotation.Value; import org.springframework.boot.autoconfigure.condition.ConditionalOnBean; import org.springframework.stereotype.Component; import javax.annotation.PostConstruct; import java.io.IOException; @Component @ConditionalOnBean(FileSystem.class) @Slf4j public class HadoopTemplate { @Autowired private FileSystem fileSystem; @Value("${hadoop.name-node}") private String nameNode; @Value("${hadoop.namespace:/}") private String nameSpace; @PostConstruct public void init(){ existDir(nameSpace,true); } public void uploadFile(String srcFile){ copyFileToHDFS(false,true,srcFile,nameSpace); } public void uploadFile(boolean del,String srcFile){ copyFileToHDFS(del,true,srcFile,nameSpace); } public void uploadFile(String srcFile,String destPath){ copyFileToHDFS(false,true,srcFile,destPath); } public void uploadFile(boolean del,String srcFile,String destPath){ copyFileToHDFS(del,true,srcFile,destPath); } public void delFile(String fileName){ rmdir(nameSpace,fileName) ; } public void delDir(String path){ nameSpace = nameSpace + "/" +path; rmdir(path,null) ; } public void download(String fileName,String savePath){ getFile(nameSpace+"/"+fileName,savePath); } /** * 建立目录 * @param filePath * @param create * @return
     */
    public boolean existDir(String filePath, boolean create){ boolean flag = false; if(StringUtils.isEmpty(filePath)){ throw new IllegalArgumentException("filePath不能为空"); } try{ Path path = new Path(filePath); if (create){ if (!fileSystem.exists(path)){ fileSystem.mkdirs(path); } } if (fileSystem.isDirectory(path)){ flag = true; } }catch (Exception e){ log.error("", e); } return flag; } /** * 文件上传至 HDFS * @param delSrc 指是否删除源文件，true为删除，默认为false * @param overwrite * @param srcFile 源文件，上传文件路径 * @param destPath hdfs的目的路径 */
    public  void copyFileToHDFS(boolean delSrc, boolean overwrite,String srcFile,String destPath) { // 源文件路径是Linux下的路径，若是在 windows 下测试，须要改写为Windows下的路径，好比D://hadoop/djt/weibo.txt
        Path srcPath = new Path(srcFile); // 目的路径
        if(StringUtils.isNotBlank(nameNode)){ destPath = nameNode + destPath; } Path dstPath = new Path(destPath); // 实现文件上传
        try { // 获取FileSystem对象
 fileSystem.copyFromLocalFile(srcPath, dstPath); fileSystem.copyFromLocalFile(delSrc,overwrite,srcPath, dstPath); //释放资源 // fileSystem.close();
        } catch (IOException e) { log.error("", e); } } /** * 删除文件或者文件目录 * * @param path */
    public void rmdir(String path,String fileName) { try { // 返回FileSystem对象
            if(StringUtils.isNotBlank(nameNode)){ path = nameNode + path; } if(StringUtils.isNotBlank(fileName)){ path =  path + "/" +fileName; } // 删除文件或者文件目录 delete(Path f) 此方法已经弃用
            fileSystem.delete(new Path(path),true); } catch (IllegalArgumentException | IOException e) { log.error("", e); } } /** * 从 HDFS 下载文件 * * @param hdfsFile * @param destPath 文件下载后,存放地址 */
    public void getFile(String hdfsFile,String destPath) { // 源文件路径
        if(StringUtils.isNotBlank(nameNode)){ hdfsFile = nameNode + hdfsFile; } Path hdfsPath = new Path(hdfsFile); Path dstPath = new Path(destPath); try { // 下载hdfs上的文件
 fileSystem.copyToLocalFile(hdfsPath, dstPath); // 释放资源 // fs.close();
        } catch (IOException e) { log.error("", e); } } public String getNameSpace(){ return nameSpace; } }

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七、HdfsController.java

package com.hadoop.demo.controller; import com.hadoop.demo.config.HadoopTemplate; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.web.bind.annotation.RequestMapping; import org.springframework.web.bind.annotation.RequestParam; import org.springframework.web.bind.annotation.RestController; @RestController public class HdfsController { @Autowired private HadoopTemplate hadoopTemplate; /** * 将本地文件srcFile,上传到hdfs * @param srcFile * @return
     */ @RequestMapping("/upload") public String upload(@RequestParam String srcFile){ hadoopTemplate.uploadFile(srcFile); return "copy"; } @RequestMapping("/delFile") public String del(@RequestParam String fileName){ hadoopTemplate.delFile(fileName); return "delFile"; } @RequestMapping("/download") public String download(@RequestParam String fileName,@RequestParam String savePath){ hadoopTemplate.download(fileName,savePath); return "download"; } }

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注意！注意！基本的代码已经能够了，接下来就是遇到的坑！！！

一、Failed to locate the winutils binary in the hadoop binary path，这个错误表示没有安装本地的hadoop

 解决方法： 下载：https://github.com/srccodes/hadoop-common-2.7.1-bin
 将bin目录的文件复制到hadoop的目录中(覆盖原有的文件哦！) win10添加系统环境变量 HADOOP_HOME ：D:\software\hadoop-dev\hadoop-common-2.7.1-bin-master
　　　　 CLASSPATH ：D:\software\hadoop-dev\hadoop-2.7.7\bin\winutils.exe 在path中将变量添加进去 %HADOOP_HOME%\bin

二、直接在启动类中添加System.setProperty("hadoop.home.dir", "D:\\software\\hadoop-dev\\hadoop-2.7.7");

import org.mybatis.spring.annotation.MapperScan; import org.springframework.boot.SpringApplication; import org.springframework.boot.autoconfigure.SpringBootApplication; import org.springframework.context.annotation.ComponentScan; @MapperScan("com.hadoop.demo.dao") @SpringBootApplication //@ComponentScan(value = "com.hadoop.demo.config")
public class DemoApplication { public static void main(String[] args) {  System.setProperty("hadoop.home.dir", "D:\\software\\hadoop-dev\\hadoop-2.7.7"); SpringApplication.run(DemoApplication.class, args); } }

三、远程访问9000端口，被拒绝访问，127.0.0.1:9000 表示只容许本机访问，因此要修改hosts文件

tcp        0      0 127.0.0.1:9000          0.0.0.0:*               LISTEN      8593/java

修改：

132.232.44.82 localhost.localdomain localhost 132.232.44.82 localhost4.localdomain4 localhost4 0.0.0.0 medecineit ::1 localhost.localdomain localhost ::1 localhost6.localdomain6 localhost6

坑也只有这几个！完毕！