- Releases Notes and Announcements
- Product Introduction
- Purchase Guide
- Getting Started
- Operation Guide
- SQL Developer Guide
- Python Developer Guide
- ETL Developer Guide
- FAQ
- Contact Us
- Releases Notes and Announcements
- Product Introduction
- Purchase Guide
- Getting Started
- Operation Guide
- SQL Developer Guide
- Python Developer Guide
- ETL Developer Guide
- FAQ
- Contact Us
You can log in to the Stream Compute Service console, and click Jobs on the left sidebar to view your jobs. Then, you can click a job name in the Job list to view the details of this job on the Job overview page. The meanings of the fields on the page are described below.
Field | Description |
Job name | The name of the job, which is set when the job is created and can be modified. |
Cluster | The name of the cluster where the job resides. |
Cluster ID | The ID of the cluster where the job resides. |
Job ID | The serial ID of the job, usually starting with cql- (assigned at random, immutable). |
Job type | The type of the job. Four types are available: JAR, SQL, Python, and ETL. |
Status | The current status of the job, such as uninitialized, unpublished, operating, running, stopped, or error. |
Region | The geographical region of the cluster where the job resides, such as Guangzhou, Shanghai, or Beijing. |
AZ | The AZ of the cluster where the job resides, such as Shanghai Zone 3. |
Online version | The running version. |
Creation time | The time when the job is created. |
Cumulative run time | The total run time of the job. |
Start time | The time when this job run starts. |
Run time | The duration of this job run. |
Compute resources | The number of CUs used in this job run. It is the sum of the number of JobManager CUs and that of TaskManager CUs, where the number of JobManager CUs = 1 (1 for each job by default) and that of TaskManager CUs = Maximum parallelism x CUs per TaskManager. |
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