هذه الصفحة غير متوفرة حاليًا بلغتك المحلية. نحن نعمل جاهدين على إضافة المزيد من اللغات. شاكرين تفهمك ودعمك المستمر لنا.

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

GDS-based Cross-Cluster Interconnection

Updated on 2024-09-05 GMT+08:00

Background

In medium- and large-sized enterprises, datawarehouses are layered. Multiple GaussDB(DWS) clusters are deployed and data is synchronized across clusters. Data synchronization between clusters should support a large amount of data and parallel execution. How to provide efficient cross-cluster data synchronization has become one of the key issues in the data field.

Function

Full data migration between GaussDB(DWS) clusters

Partial data migration based on filter conditions between GaussDB(DWS) clusters

Technical Principles

An SQL statement that triggers synchronization is converted into a pair of GDS import and export jobs through query rewriting. The jobs are executed in the source and destination clusters, forming an efficient and real-time data transfer channel for data migration and synchronization. You can execute synchronization on the destination cluster to pull data from the source cluster or, reversely, execute synchronization on the source cluster to push data to the destination cluster.

1. Remotely connect to the source cluster, create a GDS write-only foreign table, and initiate an export job.

2. Create a GDS read-only foreign table and initiate an import job.

3. Worker thread A receives data from the source cluster and writes the data to a local file.

4. Worker thread B reads local file data and sends the data to the destination cluster.

5. The destination cluster obtains the final result based on the job results at both ends and returns the final result to the user.

1. Remotely connect to the target cluster, create a GDS read-only foreign table, and initiate an import job.

2. Create a GDS write-only foreign table and initiate the export job.

3. Worker thread A receives data from the source cluster and writes the data to the named pipe.

4. Worker thread B reads the named pipe data and sends it to the destination cluster.

5. The source cluster integrates its export job result and the import job result of the destination cluster, then returns the final result to the user.

Benefits

One SQL statement is used to start the migration service. With GDS, the computing power of the nodes in the clusters at both ends is fully utilized to provide convenient and efficient logical data synchronization or migration between GaussDB(DWS) clusters without occupying disk space, improving system resource utilization.

We use cookies to improve our site and your experience. By continuing to browse our site you accept our cookie policy. Find out more

Feedback

Feedback

Feedback

0/500

Selected Content

Submit selected content with the feedback