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

Editing Synchronization Objects

Updated on 2025-02-17 GMT+08:00

This section describes how to edit synchronization objects during incremental synchronization.

  • For a normal incremental task, you can edit synchronization objects by adding or deleting databases and tables to be synchronized. DRS will synchronize the selected objects in newly added tables.
  • For a failed incremental task, you can edit synchronization objects by changing the objects to be synchronized. If an incremental synchronization fails due to incorrect synchronization objects, you can use this function to remove the databases or tables and submit the task again to restore the task.
  • During synchronization object editing of a failed incremental task, do not resume or reset the synchronization task before it is started. Otherwise, the synchronization object cache will be cleared, and the synchronization objects fail to be edited.
  • If an incremental task fails to be started for the first time and the data capture and parsing fail, ensure that the capture and parsing processes of the primary task are normal, and then edit the task to add or delete tables.
  • When you edit synchronization objects to add or delete tables, if a subtask fails due to an exception after the task is started, information about the added or deleted tables will not be saved in the synchronization objects after the subtask is stopped. In addition, data in these tables is synchronized from the source database to the destination database. As a result, data in the destination database may be inconsistent with that in the source database.
  • During the editing, you cannot pause, reset, or restart a parent task, change specifications, or reset the start position. You cannot reset the password of the source or destination database. You cannot modify the database connection information (IP address and password). Otherwise, data may be inconsistent or the task may fail. You can pause, resume, stop a subtask.

    For details about the synchronization scenarios where synchronization objects can be edited in the incremental phase, see Real-time Synchronization Scenarios Where Synchronization Objects Can Be Edited.

Prerequisites

You have logged in to the DRS console.

Method 1

  1. On the Data Synchronization Management page, locate the target synchronization task and click Edit in the Operation column.

    Figure 1 Editing synchronization objects

  2. On the Set Synchronization Task page, change the objects to be synchronized and click Next.

    • You can search the expanded database using regular expressions.
    • If an object name contains spaces, the spaces before and after the object name are not displayed. If there are two or more consecutive spaces in the middle of the object name, only one space is displayed.
    • The name of the selected synchronization object cannot contain spaces.

  3. On the Process Data page, set rules for a new table by referring to Processing Data.

    NOTE:

    The processing rules for a synchronized table cannot be modified.

  4. On the Check Task page, check the synchronization task.

    • If any check fails, review the cause and rectify the fault. After the fault is rectified, click Check Again.

      For details about how to handle check failures, see Solutions to Failed Check Items in Data Replication Service User Guide.

    • If all check items are successful, click Next.
      NOTE:

      You can proceed to the next step only when all checks are successful. If there are any items that require confirmation, view and confirm the details first before proceeding to the next step.

  5. On the Confirm Task page, specify Start Time, confirm that the configured information is correct, and click Submit.
  6. Go back to the Data Synchronization Management page. In the synchronization task list, the current task status is Incremental synchronization, and a subtask in the Modifying task status is generated. You can click the subtask name and click the Synchronization Progress tab to view the synchronization progress of each synchronization object. The streaming progress display helps you learn about the synchronization progress in real time.
  7. After the subtask change is complete, incremental synchronization is performed for the edited synchronization objects.

Method 2

  1. On the Data Synchronization Management page, click the target synchronization task.
  2. On the displayed page, click the Synchronization Mapping tab and click Edit to the right of the synchronization object.
  3. Perform 2 to 7 from method 1.

Real-time Synchronization Scenarios Where Synchronization Objects Can Be Edited

To the cloud
  • MySQL -> MySQL
  • MySQL->TaurusDB
  • MySQL -> GaussDB Centralized
  • MySQL -> GaussDB Distributed
  • MySQL->MariaDB
  • MySQL->PostgreSQL
  • DDM -> DDM
  • DDM -> GaussDB(DWS)
  • DDM->MySQL
  • DDM->Oracle
  • Oracle -> MySQL
  • Oracle->PostgreSQL
  • Oracle -> GaussDB Centralized
  • Oracle -> GaussDB Distributed
  • Oracle -> GaussDB(DWS)
  • Oracle->TaurusDB
  • Oracle->DDM
  • PostgreSQL -> PostgreSQL
  • PostgreSQL -> GaussDB Distributed
  • PostgreSQL -> GaussDB Centralized
  • MariaDB -> MariaDB
  • MariaDB->MySQL
  • MariaDB->TaurusDB
  • DB2 for LUW -> GaussDB Distributed
  • DB2 for LUW -> GaussDB Centralized
  • DB2 for LUW -> GaussDB(DWS)
  • Microsoft SQL Server->MySQL
  • Microsoft SQL Server->TaurusDB
  • Microsoft SQL Server -> GaussDB(DWS)
  • Microsoft SQL Server -> GaussDB Distributed
  • Microsoft SQL Server -> GaussDB Centralized
  • Microsoft SQL Server->PostgreSQL
  • TaurusDB->TaurusDB
From the cloud
  • MySQL -> MySQL
  • MySQL -> CSS/ES
  • MySQL -> Kafka
  • MySQL -> Oracle
  • MySQL->MariaDB
  • DDM -> Kafka
  • DDM->MySQL
  • DDS -> Kafka
  • PostgreSQL -> PostgreSQL
  • PostgreSQL -> Kafka
  • MariaDB -> MariaDB
  • TaurusDB->MySQL
  • TaurusDB->CSS/ES
  • TaurusDB->GaussDB(DWS)
  • TaurusDB->Oracle
  • TaurusDB->Kafka
  • GaussDB Centralized -> MySQL
  • GaussDB Centralized -> Oracle
  • GaussDB Centralized -> Kafka
  • GaussDB Centralized -> GaussDB(DWS)
  • GaussDB Centralized -> GaussDB Distributed
  • GaussDB Centralized -> GaussDB Centralized
  • GaussDB Distributed -> MySQL
  • GaussDB Distributed -> Oracle
  • GaussDB Distributed -> Kafka
  • GaussDB Distributed -> GaussDB(DWS)
  • GaussDB Distributed -> GaussDB Distributed
  • GaussDB Distributed -> GaussDB Centralized
  • Microsoft SQL Server->Kafka
Self-built -> Self-built
  • MySQL -> CSS/ES
  • MySQL -> Kafka
  • MySQL -> GaussDB Centralized
  • Oracle -> Kafka
  • Oracle -> GaussDB Centralized
  • Oracle -> GaussDB Distributed
  • PostgreSQL -> Kafka
  • DB2 for LUW -> GaussDB Distributed
  • DB2 for LUW -> GaussDB Centralized
  • GaussDB Centralized -> Oracle
  • GaussDB Centralized -> Kafka
  • GaussDB Centralized -> GaussDB Centralized
  • GaussDB Distributed -> Oracle
  • GaussDB Distributed -> Kafka
  • GaussDB Distributed -> GaussDB Distributed
  • Microsoft SQL Server->Kafka

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