Understanding the Hadoop fs -stat Command
The Hadoop fs -stat
command is a powerful tool in the Hadoop ecosystem that allows you to retrieve detailed information about a file or directory stored in the Hadoop Distributed File System (HDFS). This command can be particularly useful when you need to understand the characteristics of your data, such as file size, ownership, permissions, and modification times.
What is the Hadoop fs -stat Command?
The fs -stat
command is part of the Hadoop file system (HDFS) client commands, which provide a way to interact with the HDFS from the command line. The command allows you to retrieve various metadata information about a file or directory in the HDFS.
Syntax and Options
The basic syntax for the fs -stat
command is as follows:
hadoop fs -stat <format> <path>
Here, <format>
specifies the format of the output, and <path>
is the path to the file or directory in the HDFS.
The available format specifiers for the fs -stat
command include:
%F
: File type (e.g., directory, file)
%n
: File name
%h
: Number of replicas
%u
: Owner username
%g
: Owner group
%r
: Permission in octal
%y
: Last modification time in UTC
%z
: File size in bytes
You can use one or more of these format specifiers to customize the output of the fs -stat
command to suit your needs.
Example Usage
Suppose you have a file named example.txt
stored in the HDFS at the path /user/hadoop/example.txt
. You can use the fs -stat
command to retrieve information about this file:
hadoop fs -stat "%F\t%n\t%h\t%u\t%g\t%r\t%y\t%z" /user/hadoop/example.txt
This command will output the following information:
file example.txt 3 hadoop hadoop 644 2023-04-12 12:34:56 1024
The output shows that the file example.txt
is a regular file (not a directory), with 3 replicas, owned by the user hadoop
and the group hadoop
, with permissions 644
, last modified on 2023-04-12 12:34:56
, and a file size of 1024
bytes.
By understanding the fs -stat
command and its various format specifiers, you can easily retrieve the information you need about your HDFS files and directories, which can be particularly useful when working with large-scale data in the Hadoop ecosystem.