


What are the key points for setting Debian Hadoop permissions
When setting Hadoop permissions on Debian, you need to consider the following points:
-
User and user group management :
- Create users and user groups for management in the cluster. Users and groupadd commands can be used to create users and user groups.
- Set the user's home directory and login shell, and use the usermod command to modify user information.
-
File and directory permission settings :
- Use the ls -l command to view permissions for files or directories.
- Use the chmod command to modify permissions, you can use digital mode or symbolic mode. For example, chmod 755 file.txt gives owners read, write, and execute permissions, group and other users read and execute permissions.
- Use the chown and chgrp commands to modify the owner and group of a file or directory.
-
Hadoop specific permission settings :
- ServiceLevel Authorization : Configure the hadoop.security.authorization property in core-site.xml and enable ServiceLevel Authorization to control whether the user can access the specified service.
- Access Control on Job Queues : Configure the mapred.acls.enabled property in mapred-site.xml and enable Access Control on Job Queues to control the permissions of mapred queues.
- DFSPermission : Configure the dfs.permission property in hdfs-site.xml to enable file permission verification to control user access to data.
-
Authorization mechanism :
- Edit the /etc/sudoers file, allowing specific users to execute specific root commands for passwordless login and administrator permissions.
-
Authentication and Authorization :
- Use Kerberos authentication to ensure that only authenticated users can access the data.
- Use Hadoop's Access Control Lists (ACLs) to control access to data.
Please note that when modifying the critical system configuration or performing sensitive operations, it is recommended to operate with caution and back up important data.
The above is the detailed content of What are the key points for setting Debian Hadoop permissions. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Building a Hadoop Distributed File System (HDFS) on a CentOS system requires multiple steps. This article provides a brief configuration guide. 1. Prepare to install JDK in the early stage: Install JavaDevelopmentKit (JDK) on all nodes, and the version must be compatible with Hadoop. The installation package can be downloaded from the Oracle official website. Environment variable configuration: Edit /etc/profile file, set Java and Hadoop environment variables, so that the system can find the installation path of JDK and Hadoop. 2. Security configuration: SSH password-free login to generate SSH key: Use the ssh-keygen command on each node

When configuring Hadoop Distributed File System (HDFS) on CentOS, the following key configuration files need to be modified: core-site.xml: fs.defaultFS: Specifies the default file system address of HDFS, such as hdfs://localhost:9000. hadoop.tmp.dir: Specifies the storage directory for Hadoop temporary files. hadoop.proxyuser.root.hosts and hadoop.proxyuser.ro

The Installation, Configuration and Optimization Guide for HDFS File System under CentOS System This article will guide you how to install, configure and optimize Hadoop Distributed File System (HDFS) on CentOS System. HDFS installation and configuration Java environment installation: First, make sure that the appropriate Java environment is installed. Edit /etc/profile file, add the following, and replace /usr/lib/java-1.8.0/jdk1.8.0_144 with your actual Java installation path: exportJAVA_HOME=/usr/lib/java-1.8.0/jdk1.8.0_144exportPATH=$J

VprocesserazrabotkiveB-enclosed, Мнепришлостольностьсясзадачейтерациигооглапидляпапакробоглесхетсigootrive. LEAVALLYSUMBALLANCEFRIABLANCEFAUMDOPTOMATIFICATION, ČtookazaLovnetakProsto, Kakaožidal.Posenesko

How does the Redis caching solution realize the requirements of product ranking list? During the development process, we often need to deal with the requirements of rankings, such as displaying a...

JDBC...

The optimization solution for SpringBoot timing tasks in a multi-node environment is developing Spring...

When installing and configuring GitLab on a CentOS system, the choice of database is crucial. GitLab is compatible with multiple databases, but PostgreSQL and MySQL (or MariaDB) are most commonly used. This article analyzes database selection factors and provides detailed installation and configuration steps. Database Selection Guide When choosing a database, you need to consider the following factors: PostgreSQL: GitLab's default database is powerful, has high scalability, supports complex queries and transaction processing, and is suitable for large application scenarios. MySQL/MariaDB: a popular relational database widely used in Web applications, with stable and reliable performance. MongoDB:NoSQL database, specializes in
