Help Center/ Data Lake Insight/ User Guide (Kuala Lumpur Region)/ Job Management/ Flink Job Management/ Flink Job Details
Updated on 2022-12-07 GMT+08:00
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Flink Job Details

After creating a job, you can view the job details to learn about the following information:

Viewing Job Details

This section describes how to view job details. After you create and save a job, you can click the job name to view job details, including SQL statements and parameter settings. For a Jar job, you can only view its parameter settings.

  1. In the left navigation pane of the DLI management console, choose Job Management > Flink Jobs. The Flink Jobs page is displayed.
  2. Click the name of the job to be viewed. The Job Detail tab is displayed.

    In the Job Details tab, you can view SQL statements, configured parameters.

    The following uses a Flink SQL job as an example.
    Table 1 Description

    Parameter

    Description

    Type

    Job type, for example, Flink SQL

    Name

    Flink job name

    Description

    Description of a Flink job

    Status

    Running status of a job

    Running Mode

    If your job runs on a shared queue, this parameter is Shared.

    If your job runs on a custom queue with dedicated resources, this parameter is Exclusive.

    Queue

    If the queue where the job runs is a shared queue, the shared queue is displayed.

    If the queue where the job runs is a custom queue with dedicated resources, the queue name is displayed.

    UDF Jar

    This parameter is displayed when a non-shared queue is selected for the job and UDF Jar is configured.

    Runtime Configuration

    Displayed when a user-defined parameter is added to a job

    CUs

    Number of CUs configured for a job

    Job Manager CUs

    Number of job manager CUs configured for a job.

    Parallelism

    Number of jobs that can be concurrently executed by a Flink job

    CU(s) per TM

    Number of CUs occupied by each Task Manager configured for a job

    Slot(s) per TM

    Number of Task Manager slots configured for a job

    OBS Bucket

    OBS bucket name. After Enable Checkpointing and Save Job Log are enabled, checkpoints and job logs are saved in this bucket.

    Save Job Log

    Whether the job running logs are saved to OBS

    Alarm Generation upon Job Exception

    Whether job exceptions are reported

    SMN Topic

    Name of the SMN topic. This parameter is displayed when Alarm Generation upon Job Exception is enabled.

    Auto Restart upon Exception

    Whether automatic restart is enabled.

    Max. Retry Attempts

    Maximum number of retry times upon an exception. Unlimited means the number is not limited.

    Restore Job from Checkpoint

    Whether the job can be restored from a checkpoint

    ID

    Job ID

    Savepoint

    OBS path of the savepoint

    Enable Checkpointing

    Whether checkpointing is enabled

    Checkpoint Interval

    Interval between storing intermediate job running results to OBS. The unit is second.

    Checkpoint Mode

    Checkpoint mode. Available values are as follows:

    • At least once: Events are processed at least once.
    • Exactly once: Events are processed only once.

    Idle State Retention Time

    Defines for how long the state of a key is retained without being updated before it is removed in GroupBy or Window.

    Dirty Data Policy

    Policy for processing dirty data. The value is displayed only when there is a dirty data policy. Available values are as follows:

    Ignore

    Trigger a job exception

    Save

    Dirty Data Dump Address

    OBS path for storing dirty data when Dirty Data Policy is set to Save.

    Created

    Time when a job is created

    Updated

    Time when a job was last updated

Checking the Job Monitoring Information

You can use Cloud Eye to view details about job data input and output.

  1. In the left navigation pane of the DLI management console, choose Job Management > Flink Jobs. The Flink Jobs page is displayed.
  2. Click the name of the job you want. The job details are displayed.

    Click Job Monitoring in the upper right corner of the page to switch to the Cloud Eye console.

    The following table describes monitoring metrics related to Flink jobs.

    Table 2 Monitoring metrics related to Flink jobs

    Name

    Description

    Flink Job Data Read Rate

    Displays the data input rate of a Flink job for monitoring and debugging. Unit: record/s.

    Flink Job Data Write Rate

    Displays the data output rate of a Flink job for monitoring and debugging. Unit: record/s.

    Flink Job Total Data Read

    Displays the total number of data inputs of a Flink job for monitoring and debugging. Unit: records

    Flink Job Total Data Write

    Displays the total number of output data records of a Flink job for monitoring and debugging. Unit: records

    Flink Job Byte Read Rate

    Displays the number of input bytes per second of a Flink job. Unit: byte/s

    Flink Job Byte Write Rate

    Displays the number of output bytes per second of a Flink job. Unit: byte/s

    Flink Job Total Read Byte

    Displays the total number of input bytes of a Flink job. Unit: byte

    Flink Job Total Write Byte

    Displays the total number of output bytes of a Flink job. Unit: byte

    Flink Job CPU Usage

    Displays the CPU usage of Flink jobs. Unit: %

    Flink Job Memory Usage

    Displays the memory usage of Flink jobs. Unit: %

    Flink Job Max Operator Latency

    Displays the maximum operator delay of a Flink job. The unit is ms.

    Flink Job Maximum Operator Backpressure

    Displays the maximum operator backpressure value of a Flink job. A larger value indicates severer backpressure.

    0: OK

    50: low

    100: high

Viewing the Task List of a Job

You can view details about each task running on a job, including the task start time, number of received and transmitted bytes, and running duration.

If the value is 0, no data is received from the data source.

  1. In the left navigation pane of the DLI management console, choose Job Management > Flink Jobs. The Flink Jobs page is displayed.
  2. Click the name of the job you want. The job details are displayed.
  3. On Task List and view the node information about the task.

    View the operator task list. The following table describes the task parameters.
    Table 3 Parameter description

    Parameter

    Description

    Name

    Name of an operator.

    Duration

    Running duration of an operator.

    Max Concurrent Jobs

    Number of parallel tasks in an operator.

    Task

    Operator tasks are categorized as follows:

    • The digit in red indicates the number of failed tasks.
    • The digit in light gray indicates the number of canceled tasks.
    • The digit in yellow indicates the number of tasks that are being canceled.
    • The digit in green indicates the number of finished tasks.
    • The digit in blue indicates the number of running tasks.
    • The digit in sky blue indicates the number of tasks that are being deployed.
    • The digit in dark gray indicates the number of tasks in a queue.

    Status

    Status of an operator task.

    Back Pressure Status

    Working load status of an operator. Available options are as follows:

    • OK: indicates that the operator is in normal working load.
    • LOW: indicates that the operator is in slightly high working load. DLI processes data quickly.
    • HIGH: indicates that the operator is in high working load. The data input speed at the source end is slow.

    Delay

    Duration from the time when source data starts being processed to the time when data reaches the current operator. The unit is millisecond.

    Sent Records

    Number of data records sent by an operator.

    Sent Bytes

    Number of bytes sent by an operator.

    Received Bytes

    Number of bytes received by an operator.

    Received Records

    Number of data records received by an operator.

    Started

    Time when an operator starts running.

    Ended

    Time when an operator stops running.

Viewing the Job Execution Plan

You can view the execution plan to understand the operator stream information about the running job.

  1. In the left navigation pane of the DLI management console, choose Job Management > Flink Jobs. The Flink Jobs page is displayed.
  2. Click the name of the job you want. The job details are displayed.
  3. Click the Execution Plan tab to view the operator flow direction.

    Click a node. The corresponding information is displayed on the right of the page.
    • Scroll the mouse wheel to zoom in or out.
    • The stream diagram displays the operator stream information about the running job in real time.

Viewing Job Submission Logs

You can view the submission logs to locate the fault.

  1. In the left navigation pane of the DLI management console, choose Job Management > Flink Jobs. The Flink Jobs page is displayed.
  2. Click the name of the job you want. The job details are displayed.
  3. In the Commit Logs tab, view the information about the job submission process.

Viewing Job Running Logs

You can view the run logs to locate the faults occurring during job running.

  1. In the left navigation pane of the DLI management console, choose Job Management > Flink Jobs. The Flink Jobs page is displayed.
  2. Click the name of the job you want. The job details are displayed.
  3. On the Run Log tab page, you can view the Job Manager and Task Manager information of the running job.

    Information about JobManager and TaskManager is updated every minute. Only run logs of the last minute are displayed by default.

    If you select an OBS bucket for saving job logs during the job configuration, you can switch to the OBS bucket and download log files to view more historical logs.

    If the job is not running, information on the Task Manager page cannot be viewed.

Parent topic: Flink Job Management