Python系列之入门篇——HDFS
简介
HDFS (Hadoop Distributed File System) Hadoop分布式文件系统，具有高容错性，适合部署在廉价的机器上。Python
提供了两种接口方式，分别是hdfscli(Restful Api Call)，pyhdfs(RPC Call)，这一节主要讲hdfscli的使用
代码示例
- 安装
pip install hdfs
引入相关模块
from hdfs import *
创建客户端
"""
It has two different kind of client, Client and InsecureClient.
Client: cannot define file owner
InsecureClient: can define file owner, default None
"""
hdfs_root_path = 'http://localhost:50070'
fs = Client(hdfs_root_path)
fs = InsecureClient(hdfs_root_path, user='hdfs')
创建目录
"""
Change file permission to 777, default None
"""
fs.makedirs('/test', permission=777)
写文件
"""
Write append or not depends on the file is exist or not
strict: If `False`, return `None` rather than raise an exception if
the path doesn't exist.
"""
content = fs.content(hdfs_file_path, strict=False)
if content is None:
fs.write('/test/test.txt', data=data, permission=777)
else:
fs.write('/test/test.txt', data=data, append=True)
上传文件
"""
overwrite default False, if don't set True, when you upload the file which is exist
in hdfs, it will raise File is exist Exception.
"""
client.upload(hdfs_path, local_path, overwrite=True)
总结
还没有找到判断文件是否存在的方法，目前代码示例中用fs.content()来替换，如果大家有更好的方式，也麻烦分享给我
