Updated on 2024-04-29 GMT+08:00

Monitoring a Real-Time Job

In the real-time processing mode, data is processed in real time, which is used in scenarios with high real-time performance. This type of job is a pipeline that consists of one or more nodes. You can configure scheduling policies for each node, and the tasks started by nodes can keep running for an unlimited period of time. In this type of job, lines with arrows represent only service relationships, rather than task execution processes or data flows.

You can choose Monitor Job and click the Real-Time Job Monitoring tab to view the job status, start time, and end time, and perform the operations listed in Table 1.

Figure 1 Real-time job monitoring page

Table 1 Operations supported by real-time job monitoring

No.

Operation

Description

1

Filtering jobs by Job Name, Owner, CDM Job, or Node Type

N/A

2

Filtering jobs based on the job status or job tag

N/A

3

Perform operations on jobs in a batch

Select jobs and perform batch operations on them, including starting, stopping, and adding tags to them.

4

Viewing job instance status

Click job in front of the name. The Last Instance page is displayed. You can view information about the last instance of the job.

5

Job status-related operations

In the Operation column of a job, you can start, pause, recover, stop, rerun, and add tags to it.

6

Adding a job tag

Click Add Job Tag. The Add Job Tag dialog box is displayed.

7

Viewing node information of a job

Click a job name. On the displayed page, click a node to view its associated job/scripts and monitoring information.

NOTE:

If event-driven scheduling is configured for a node in the job, the subjob monitoring page is displayed when you click the node.

8

Disabling and restoring a node

Click a job name. On the displayed page, right-click a node and select Disable. After the node is disabled, you can right-click it and select Restore to restore it on another location. For details, see Real-Time Job Monitoring: Disabling and Restoring a Node.

9

Viewing the boot log

Click a job name. On the displayed page, right-click a node and select View Run Log to view logs of the node.

10

Configuring scheduling

Click a job name. On the displayed page, right-click the node where event-driven scheduling is configured and select Configure Scheduling to modify the scheduling information about the node. For details, see Real-Time Job Monitoring: Configuring Scheduling for a Node Where Event-driven Scheduling Is Configured.

11

Clearing stream messages

Click a job name. On the displayed page, right-click the node where event-driven scheduling is configured and select Clear Stream Message.

12

Viewing logs

For real-time processing single-task Flink SQL and Flink JAR jobs, you can Click More and select View Log to view the logs of the jobs.

NOTE:

This function is unavailable if the MRS cluster version is not supported.

Click a job name. On the displayed page, view the job parameters, properties, and instances.

Click a node of a job to view the node properties, script content, and node monitoring information.

In addition, you can view the current job version and status, start, rerun, and develop jobs, determine whether to display metric monitoring, and set the job refresh frequency.

Real-Time Job Monitoring: Disabling and Restoring a Node

You can disable a node in a real-time job and restore it in another location.

  1. Log in to the DataArts Studio console by following the instructions in Accessing the DataArts Studio Instance Console.
  2. On the DataArts Studio console, locate a workspace and click DataArts Factory.
  3. In the left navigation pane of DataArts Factory, choose Monitoring > Monitor Job.
  4. On the Real-Time Job Monitoring tab page, click a job name.
  5. On the displayed page, right-click the node and select Disable.
  6. Right-click the node and choose Resume from the shortcut menu. The Resume Node Running dialog box is displayed, as shown in Table 2.
    Figure 2 Resuming node running
    Table 2 Resumption parameters

    Parameter

    Description

    Last Paused

    Start time when a node is suspended.

    Tasks Not Run

    Number of tasks that are not running during node suspension.

    Run From

    Parameters for performing the tasks generated during the pause period.

    Position from which running restarts.

    • Paused node
    • The first node of the subjob

    Concurrent Tasks

    Parameters for performing the tasks generated during the pause period.

    Number of tasks to be processed.

    Task Name

    Parameters for performing the tasks generated during the pause period.

    Task to be resumed.

Real-Time Job Monitoring: Configuring Scheduling for a Node Where Event-driven Scheduling Is Configured

If event-driven scheduling is configured for a node in a real-time job, right-click the node on the job monitoring details page and choose Configure Scheduling from the shortcut menu to view and modify the scheduling information about the node.

  1. Log in to the DataArts Studio console by following the instructions in Accessing the DataArts Studio Instance Console.
  2. On the DataArts Studio console, locate a workspace and click DataArts Factory.
  3. In the left navigation pane of DataArts Factory, choose Monitoring > Monitor Job.
  4. On the Real-Time Job Monitoring tab page, click a job name.
  5. On the displayed page, right-click the node where event-driven scheduling is configured, select Configure Scheduling, and configure the parameters shown in Table 3.
    Figure 3 Configuring scheduling
    Table 3 Policy parameters

    Parameter

    Description

    DIS Stream

    Name of the DIS stream. When a new message is sent to the specified DIS stream, DataArts Factory transfers the new message to the job to trigger the job running.

    Concurrent Events

    Number of jobs that can be concurrently processed. The maximum number of concurrent events is 10.

    Event Detection Interval

    Interval for event detection. The unit of the interval can be Seconds or Minutes.

    Failure Policy

    Select a policy to be performed after scheduling fails.

    • Stop scheduling
    • Ignore failure and proceed
    Figure 4 Configuring a DIS scheduling policy