Esta página ainda não está disponível no idioma selecionado. Estamos trabalhando para adicionar mais opções de idiomas. Agradecemos sua compreensão.

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
Situation Awareness
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

Configuring Customized Service Parameters

Updated on 2022-08-12 GMT+08:00

Each component of MRS supports all open-source parameters. MRS supports the modification of some parameters for key application scenarios. Some component clients may not include all parameters with open-source features. To modify the component parameters that are not directly supported by MRS, you can add new parameters for components by using the configuration customization function on MRS. Newly added parameters are saved in component configuration files and take effect after restart.

Impact on the System

  • After the service attributes are configured, the service needs to be restarted. The service cannot be accessed during restart.
  • You need to download and update the client configuration files after configuring HBase, HDFS, Hive, Spark, Yarn, and MapReduce service properties.

Prerequisites

  • You have understood the meanings of parameters to be added, configuration files that have taken effect, and the impact on components.
  • You have synchronized IAM users. (On the Dashboard page, click Synchronize on the right side of IAM User Sync to synchronize IAM users.)

Procedure

  1. On the MRS cluster details page, click Components.
  2. Select the target service from the service list.
  3. Click Service Configuration.
  4. In the configuration type drop-down box on the right side, switch Basic to All.
  5. In the navigation tree, select Customization. The customized parameters of the current component are displayed on MRS.

    The configuration files that save the newly added customized parameters are displayed in the Parameter File column. Different configuration files may have same open-source parameters. After the parameters in different files are set to different values, whether the configuration takes effect depends on the loading sequence of the configuration files by components. You can customize parameters for services and roles as required. Adding customized parameters for a single role instance is not supported.

  6. Based on the configuration files and parameter functions, locate the row where a specified parameter resides, enter the parameter name supported by the component in the Parameter column and enter the parameter value in the Value column.

    • You can click or to add or delete a customized parameter. You can delete a customized parameter only after you click for the first time.
    • If you want to cancel the modification of a parameter value, click to restore it.

  7. Click Save Configuration, select Restart the affected services or instances, and click OK.

Task Example

Configuring Customized Hive Parameters

Hive depends on HDFS. By default, Hive accesses the HDFS client. The configuration parameters to take effect are controlled by HDFS in a unified manner. For example, the HDFS parameter ipc.client.rpc.timeout affects the RPC timeout period for all clients to connect to the HDFS server. If you need to modify the timeout period for Hive to connect to HDFS, you can use the configuration customization function. After this parameter is added to the core-site.xml file of Hive, this parameter can be identified by the Hive service and its configuration overwrites the parameter configuration in HDFS.

  1. On the MRS cluster details page, click Components.
  2. Choose Hive > Service Configuration.
  3. In the configuration type drop-down box on the right side, switch Basic to All.
  4. In the navigation tree on the left, select Customization for the Hive service. The system displays the customized service parameters supported by Hive.
  5. In core-site.xml, locate the row that contains the core.site.customized.configs parameter, enter ipc.client.rpc.timeout in the Parameter column, and enter a new value in the Value column, for example, 150000. The unit is millisecond.
  6. Click Save Configuration, select Restart the affected services or instances, and click OK.

    Operation successful is displayed. Click Finish. The service is started successfully.

Usamos cookies para aprimorar nosso site e sua experiência. Ao continuar a navegar em nosso site, você aceita nossa política de cookies. Saiba mais

Feedback

Feedback

Feedback

0/500

Selected Content

Submit selected content with the feedback