Simple use of FastDFS

　Internet has vast amounts of documents, such as the electricity supplier website has massive image files, video sites have vast amounts of video files, if you use the traditional model upload files, is certainly not desirable. So you need to use a third-party server to store pictures.

 

About a .FastDFS

FastDFS is written in c language an open source distributed file system. FastDFS tailor-made for the Internet, full account of redundancy, load balancing, and other mechanisms linear expansion, and focus on high availability, high performance and other indicators, it is easy to use FastDFS to build a high-performance file server clusters to provide file upload and download and other services.

FastDFS architecture includes Tracker server and Storage server. Tracker server client requests for file upload, download, upload and download files finalized by the Storage server by Tracker server scheduling.

Tracker server role is load balancing and scheduling can be found Storage server to provide file upload service to Tracker server when the file is uploaded, according to some policies. Tracker track server or may be referred to dispatch server.

Storage server role is a file stored on Storage server, Storageserver does not implement its own file system client upload the final file storage but to use the operating system's file system to manage files. Storage can be referred to as a storage server.

 

Two server roles:

Tracker: Management cluster, tracker can also be achieved clusters. Each tracker node equal footing. Collecting state Storage cluster.

Storage：实际保存文件 Storage 分为多个组，每个组之间保存的文件是不同的。每个组内部可以有多个成员， 组成员内部保存的内容是一样的，组成员的地位是一致的，没有主从的概念。

文件上传流程 ：

文件下载流程：

二.FastDFS的入门

使用FastDFS上传文件,我们以图片的上传为例(ssm环境)

第一步:在Spring项目中导入FastDFS的坐标

<!-- 分布式文件系统 -->
<dependency>
    <groupId>org.csource.fastdfs</groupId>
    <artifactId>fastdfs</artifactId>
    <version>1.2</version>
</dependency>
<!-- 文件上传组件 -->
<dependency>
    <groupId>commons-fileupload</groupId>
    <artifactId>commons-fileupload</artifactId>
    <version>1.3.1</version>
</dependency>

第二步:导入FastDFS的配置(resources/config/fdfs_client.conf)

# connect timeout in seconds
# default value is 30s
connect_timeout=30

# network timeout in seconds
# default value is 30s
network_timeout=60

# the base path to store log files
base_path=/home/fastdfs

# tracker_server can ocur more than once, and tracker_server format is
#  "host:port", host can be hostname or ip address
tracker_server=192.168.25.133:22122

#standard log level as syslog, case insensitive, value list:
### emerg for emergency
### alert
### crit for critical
### error
### warn for warning
### notice
### info
### debug
log_level=info

# if use connection pool
# default value is false
# since V4.05
use_connection_pool = false

# connections whose the idle time exceeds this time will be closed
# unit: second
# default value is 3600
# since V4.05
connection_pool_max_idle_time = 3600

# if load FastDFS parameters from tracker server
# since V4.05
# default value is false
load_fdfs_parameters_from_tracker=false

# if use storage ID instead of IP address
# same as tracker.conf
# valid only when load_fdfs_parameters_from_tracker is false
# default value is false
# since V4.05
use_storage_id = false

# specify storage ids filename, can use relative or absolute path
# same as tracker.conf
# valid only when load_fdfs_parameters_from_tracker is false
# since V4.05
storage_ids_filename = storage_ids.conf

#HTTP settings
http.tracker_server_port=80

#use "#include" directive to include HTTP other settiongs
##include http.conf

第三步:编写UploadController

/**
 * 图片上传的处理器
 * @author Mr.song
 * @date 2019/06/09 20:07
 */
@RestController
public class UploadController {
    // FastDFS服务器的ip地址
    private String server_url = "http://192.168.25.133/";

    @RequestMapping("/upload")
    public Result uploadFile(MultipartFile uploadFile) {
        //把file存到fastDFS上
        try {
            String fileName = uploadFile.getOriginalFilename();
            //获取文件扩展名称
            String exeName = fileName.substring(fileName.lastIndexOf(".") + 1);
            //创建上传客户端(封装的工具,见第六步)
            FastDFSClient client = new FastDFSClient("classpath:config/fdfs_client.conf");
            //完成上传,获得fileId
            String fileId = client.uploadFile(uploadFile.getBytes(), exeName);
            //拼接文件的访问路径并返回到前端页面
            String filePath = server_url + fileId;
            return new Result(true, filePath);
        } catch (Exception e) {
            e.printStackTrace();
            return new Result(false, "上传失败!");
        }
    }
}

第四步:在SpringMVC中添加文件解析器的配置

<!-- 配置文件上传解析器 -->
<bean id="multipartResolver"
      class="org.springframework.web.multipart.commons.CommonsMultipartResolver">
    <property name="defaultEncoding" value="UTF-8"></property>
    <!-- 设定文件上传的最大值 5MB， 5*1024*1024 -->
    <property name="maxUploadSize" value="5242880"></property>
</bean>

第五步:页面文件上传的方法(这里是AngularJS)

//在前端service层中

app.service("uploadService",function ($http) {
    this.uploadFile=function () {
        var formData = new FormData();//上传文件的数据模型
        //第一个参数:相当于表单的name,第二个参数需和文件上传框的id一致
        formData.append("uploadFile",file.files[0]);
        return $http({
            method:'post',
            url:'../upload.do',
            data:formData,
            //文件上传,类型必须是undefined,因为默认是text/plain(有默认值angularJS就不处理了)
            headers:{'Content-type':undefined},
            transformRequest:angular.identity //对整个表单进行二进制序列化
        })
    }
})

第六步:编写FastDFS的简单封装工具

/**
 * FastDFS使用的简单封装
 */
public class FastDFSClient {

    private TrackerClient trackerClient = null;
    private TrackerServer trackerServer = null;
    private StorageServer storageServer = null;
    private StorageClient1 storageClient = null;
    
    public FastDFSClient(String conf) throws Exception {
        if (conf.contains("classpath:")) {
            conf = conf.replace("classpath:", this.getClass().getResource("/").getPath());
        }
        ClientGlobal.init(conf);
        trackerClient = new TrackerClient();
        trackerServer = trackerClient.getConnection();
        storageServer = null;
        storageClient = new StorageClient1(trackerServer, storageServer);
    }
    
    /**
     * 上传文件方法
     * <p>Title: uploadFile</p>
     * <p>Description: </p>
     * @param fileName 文件全路径
     * @param extName 文件扩展名，不包含（.）
     * @param metas 文件扩展信息
     * @return
     * @throws Exception
     */
    public String uploadFile(String fileName, String extName, NameValuePair[] metas) throws Exception {
        String result = storageClient.upload_file1(fileName, extName, metas);
        return result;
    }
    
    public String uploadFile(String fileName) throws Exception {
        return uploadFile(fileName, null, null);
    }
    
    public String uploadFile(String fileName, String extName) throws Exception {
        return uploadFile(fileName, extName, null);
    }
    
    /**
     * 上传文件方法
     * <p>Title: uploadFile</p>
     * <p>Description: </p>
     * @param fileContent 文件的内容，字节数组
     * @param extName 文件扩展名
     * @param metas 文件扩展信息
     * @return
     * @throws Exception
     */
    public String uploadFile(byte[] fileContent, String extName, NameValuePair[] metas) throws Exception {
        
        String result = storageClient.upload_file1(fileContent, extName, metas);
        return result;
    }
    
    public String uploadFile(byte[] fileContent) throws Exception {
        return uploadFile(fileContent, null, null);
    }
    
    public String uploadFile(byte[] fileContent, String extName) throws Exception {
        return uploadFile(fileContent, extName, null);
    }
}

 

 

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