El contenido no se encuentra disponible en el idioma seleccionado. Estamos trabajando continuamente para agregar más idiomas. Gracias por su apoyo.

Compute
Elastic Cloud Server
Huawei Cloud Flexus
Bare Metal Server
Auto Scaling
Image Management Service
Dedicated Host
FunctionGraph
Cloud Phone Host
Huawei Cloud EulerOS
Networking
Virtual Private Cloud
Elastic IP
Elastic Load Balance
NAT Gateway
Direct Connect
Virtual Private Network
VPC Endpoint
Cloud Connect
Enterprise Router
Enterprise Switch
Global Accelerator
Management & Governance
Cloud Eye
Identity and Access Management
Cloud Trace Service
Resource Formation Service
Tag Management Service
Log Tank Service
Config
OneAccess
Resource Access Manager
Simple Message Notification
Application Performance Management
Application Operations Management
Organizations
Optimization Advisor
IAM Identity Center
Cloud Operations Center
Resource Governance Center
Migration
Server Migration Service
Object Storage Migration Service
Cloud Data Migration
Migration Center
Cloud Ecosystem
KooGallery
Partner Center
User Support
My Account
Billing Center
Cost Center
Resource Center
Enterprise Management
Service Tickets
HUAWEI CLOUD (International) FAQs
ICP Filing
Support Plans
My Credentials
Customer Operation Capabilities
Partner Support Plans
Professional Services
Analytics
MapReduce Service
Data Lake Insight
CloudTable Service
Cloud Search Service
Data Lake Visualization
Data Ingestion Service
GaussDB(DWS)
DataArts Studio
Data Lake Factory
DataArts Lake Formation
IoT
IoT Device Access
Others
Product Pricing Details
System Permissions
Console Quick Start
Common FAQs
Instructions for Associating with a HUAWEI CLOUD Partner
Message Center
Security & Compliance
Security Technologies and Applications
Web Application Firewall
Host Security Service
Cloud Firewall
SecMaster
Anti-DDoS Service
Data Encryption Workshop
Database Security Service
Cloud Bastion Host
Data Security Center
Cloud Certificate Manager
Edge Security
Managed Threat Detection
Blockchain
Blockchain Service
Web3 Node Engine Service
Media Services
Media Processing Center
Video On Demand
Live
SparkRTC
MetaStudio
Storage
Object Storage Service
Elastic Volume Service
Cloud Backup and Recovery
Storage Disaster Recovery Service
Scalable File Service Turbo
Scalable File Service
Volume Backup Service
Cloud Server Backup Service
Data Express Service
Dedicated Distributed Storage Service
Containers
Cloud Container Engine
SoftWare Repository for Container
Application Service Mesh
Ubiquitous Cloud Native Service
Cloud Container Instance
Databases
Relational Database Service
Document Database Service
Data Admin Service
Data Replication Service
GeminiDB
GaussDB
Distributed Database Middleware
Database and Application Migration UGO
TaurusDB
Middleware
Distributed Cache Service
API Gateway
Distributed Message Service for Kafka
Distributed Message Service for RabbitMQ
Distributed Message Service for RocketMQ
Cloud Service Engine
Multi-Site High Availability Service
EventGrid
Dedicated Cloud
Dedicated Computing Cluster
Business Applications
Workspace
ROMA Connect
Message & SMS
Domain Name Service
Edge Data Center Management
Meeting
AI
Face Recognition Service
Graph Engine Service
Content Moderation
Image Recognition
Optical Character Recognition
ModelArts
ImageSearch
Conversational Bot Service
Speech Interaction Service
Huawei HiLens
Video Intelligent Analysis Service
Developer Tools
SDK Developer Guide
API Request Signing Guide
Terraform
Koo Command Line Interface
Content Delivery & Edge Computing
Content Delivery Network
Intelligent EdgeFabric
CloudPond
Intelligent EdgeCloud
Solutions
SAP Cloud
High Performance Computing
Developer Services
ServiceStage
CodeArts
CodeArts PerfTest
CodeArts Req
CodeArts Pipeline
CodeArts Build
CodeArts Deploy
CodeArts Artifact
CodeArts TestPlan
CodeArts Check
CodeArts Repo
Cloud Application Engine
MacroVerse aPaaS
KooMessage
KooPhone
KooDrive
On this page

Preparing an HDFS Application Running Environment

Updated on 2024-12-10 GMT+08:00

Prerequisites

1. You have installed HDFS on the server and confirmed that HDFS is running properly.

2. You have installed JDK 1.7 or 1.8 on the client operating environment.

3. You have obtained the MRS_Services_Client.tar client installation package.

Scenario

Install the client on Linux.

Procedure

  1. Ensure that the time difference between the client and the Hadoop cluster is less than 5 minutes. You may need to manually modify the client or Hadoop cluster time.

    You can query the MRS cluster time by logging in to the active management node that corresponds to the cluster management IP address to run the date command.

  2. Download the MapReduce client program to the local computer.

    1. Log in to MRS Manager.
    2. Choose Service > Download Client to download the client program to the local PC.

  3. Decompress the MRS_Services_Client.tar client program package. Because the installation package is in .tar format, run the following commands to decompress the package twice:

    tar -xvf MRS_Services_Client.tar

    tar -xvf MRS_Service_ClientConfig.tar

  4. Set environment variables for the operating environment. Assume that the installation package is decompressed in MRS_Services_ClientConfig/.

    Go to the decompressed folder and run the following command to install the client:

    sh install.sh {client_install_home}

  5. Go the client installation directory and run the following command to initialize the environment variables:

    source bigdata_env

  6. Copy the following files from the server to the conf directory in the same directory as the directory of the JAR file. For details about the JAR file exported by the sample project, see Commissioning an HDFS Application on Linux.

    Table 1 Configuration files

    File Name

    Function

    How to Obtain

    core-site.xml

    Configures HDFS parameters.

    ${HADOOP_HOME}/etc/hadoop/core-site.xml

    hdfs-site.xml

    Configures HDFS parameters.

    ${HADOOP_HOME}/etc/hadoop/hdfs-site.xml

    user.keytab

    Provides HDFS user information for Kerberos security authentication.

    If the cluster is in security mode, contact the administrator to obtain the keytab and krb5 files corresponding to the account.

    krb5.conf

    Contains Kerberos server configuration information.

    NOTE:
    • In Table 1, ${HADOOP_HOME} indicates the Hadoop installation directory on the server.
    • Keytab authentication is valid for 24 hours. Re-authentication is required 24 hours later.
    • In the sample code, the username of PRNCIPAL_NAME must be the same as the account name of the keytab and krb5 files.
    • The user.keytab and krb5.conf of different clusters cannot be shared.
    • In the sample code, the keytab file used in System.getProperty("user.dir") + File.separator + "conf" + File.separator + "user.keytab" must be the same as the user's keytab file.
    • The log4j.properties file in the conf directory can be configured based on the customer requirements.

Utilizamos cookies para mejorar nuestro sitio y tu experiencia. Al continuar navegando en nuestro sitio, tú aceptas nuestra política de cookies. Descubre más

Feedback

Feedback

Feedback

0/500

Selected Content

Submit selected content with the feedback