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
On this page

Creating a Scheduled Job in JupyterLab

Updated on 2024-12-26 GMT+08:00

You can create a scheduled job in a ModelArts notebook instance. This section describes how to create a scheduled job and run a notebook file with one click to improve efficiency.

Highlights

  • One-click running: You can run a notebook file with one click.
  • Scheduled task: You can set the time and frequency for executing code blocks. The time can be set by second, minute, hour, day, week, or month.
  • Parameter-based execution: You can transfer parameters to a notebook job during its runtime, so that the notebook job can adjust its behavior as required.
  • Task management GUI: A user-friendly GUI is provided for viewing, adding, and deleting scheduled tasks.
  • Task execution record: The status and output of each job are recorded for future query and debugging.

Procedure

  1. Open ModelArts Notebook.
  2. Choose a notebook file (IPYNV file) to create a scheduled job.
    Figure 1 Opening notebook jobs
  3. On the Create Job page, configure the parameters and click Create.
    Figure 2 Parameters for creating a scheduled job
    • Job name: Enter the scheduled job name.
    • Environment: Choose a Python environment where the notebook job is to be run.
    • Output formats: Select the output file type of the execution result
    • Parameters: Click the plus sign (+) to set the Python variables for running the job.
    • Schedule: Choose Run now or Run on a schedule. The cron expression is supported.
      NOTE:
      • The cron expression must be in the format supported by Linux OS. Otherwise, an error will be reported. If the expression contains a question mark (?), replace it with an asterisk (*).
      • After a scheduled job is configured, modify the file name and content. The created jobs are not affected.
  4. Run the job. You can view the job running records in the Notebook Jobs tab. Click Reload in the upper right corner to get the latest records.
    Figure 3 Viewing the running records of scheduled jobs
  5. After the job is executed, you can download the output files. Click the file name to view the execution result.
    Figure 4 Viewing the execution result of a scheduled job
  6. In the Notebook Job Definitions tab, view all jobs. Click a job name to access the Job Definition page. You can start, stop, or delete a scheduled job. You can also click Edit Job Definition to update the scheduling information or view the running history of a scheduled job.
    Figure 5 Notebook Job Definitions tab
    Figure 6 Configuring a scheduled job

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