是否可以将文件保存在Hadoop中而不将其保存在本地文件系统中？ [英] Is it possible to save files in Hadoop without saving them in local file system?

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问题描述

是否可以将文件保存在Hadoop中而不将其保存在本地文件系统中？我想做如下所示的操作，但是我想直接在HDFS中保存文件。目前，我将文件保存在文档目录中，然后才可以使用 hadoop fs -put 将其保存在HDFS中。

Is it possible to save files in Hadoop without saving them in local file system? I would like to do something like shown below however I would like to save file directly in HDFS. At the moment I save files in documents directory and only then I can save them in HDFS for instance using hadoop fs -put.

class DataUploadView(GenericAPIView):

    def post(self, request):

            myfile = request.FILES['photo']
            fs = FileSystemStorage(location='documents/')
            filename = fs.save(myfile.name, myfile)
            local_path = 'my/path/documents/' + str(myfile.name)            
            hdfs_path = '/user/user1/' + str(myfile.name)
            run(['hadoop', 'fs', '-put', local_path, hdfs_path], shell=True)

推荐答案

Hadoop具有REST API，可让您通过WebHDFS创建文件。

Hadoop has REST APIs that allow you to create files via WebHDFS.

因此您可以编写自己的 create 基于REST API，使用python库（例如 requests ）执行HTTP。但是，也有几个支持Hadoop / HDFS且已经使用REST API或通过 libhdfs 使用RPC机制的python库。

So you could write your own create based on the REST APIs using a python library like requests for doing the HTTP. However, there are also several python libraries that support Hadoop/HDFS and already use the REST APIs or that use the RPC mechanism via libhdfs.