Python operates HDFs and obtains the basic properties of the HDFs file name and file, including the modification time and conversion to standard Time

Using Anaconda to install Python HDFs package Python-hdfs 2.1.0 Package

From HDFs Import *
Import time

Client = Client ("http://192.168.56.101:50070")
ll = client.list ('/home/test ', status=true)
For I in LL:
    table_name = i[0] #表名
    table_attr = i[1] #表的属性
    #修改时间1528353247347, 13 bits to milliseconds, need to be converted to a timestamp of 10 bits to seconds (float type required)
    table_modify_time=table_attr[' Modificationtime ']/1000.0
    #使用localtime () and formatted output strftime () convert timestamps to normal format
    Table_modify_time_format=time.strftime ('%y-%m-%d%h:%m:%s ', Time.localtime (table_modify_time))
    Print (table_name)
    Print (TABLE_ATTR)
    Print (table_modify_time)  #表的修改时间, sec
    Print (Table_modify_time_format) #表的修改时间, formatted output
    Print (")


The output is:

test_sh-fang20180604150605.sh
{u ' group ': U ' supergroup ', U ' permission ': U ' 644 ', U ' blockSize ': 134217728, U ' accesstime ': 1530720024452L, U ' pathsuffix ' : U ' test_sh-fang20180604150605.sh ', U ' modificationtime ': 1528095968096L, U ' replication ': 3, U ' length ': Ten, U ' Childrennum ': 0, U ' owner ': U ' appuser ', U ' storagepolicy ': 0, U ' type ': U ' FILE ', U ' fileId ': 26941}
1528095968.1
2018-06-04 15:06:08

Python operates HDFs and obtains the basic properties of the HDFs file name and file, including the modification time and conversion to standard Time