Managing Oozie Jobs Using Hue

Scenario

Users can use the Hue web UI to query all jobs in an MRS cluster.

Hue provides a UI for Oozie job management.

The Hue UI is used to view and analyze data such as files and tables. Do not perform high-risk management operations such as deleting objects. If such an operation is required, perform the operation on each component after confirming that the operation does not affect services. For example, use the HDFS client to perform operations on HDFS files and use the Hive client to perform operations on Hive tables.

Using Oozie Job Designer

Access the Hue web UI. For details, see Accessing the Hue Web UI.

In the navigation pane on the left, click and choose Workflow.

The job designer allows users to create MapReduce, Java, Streaming, Fs, SSH, Shell and DistCp jobs.

Using Editor

Access the Hue web UI. For details, see Accessing the Hue Web UI.

In the navigation pane on the left, click and choose Workflow.

Workflows, Schedule, and Bundle tasks can be created. Existing applications can be submitted for running, shared, copied, and exported.

• Each Workflow can contain one or more jobs to form a complete workflow for a specified service.

  When creating a Workflow, you can design jobs in the Hue editor and add the jobs to the Workflow.

• Each Schedule can define a time trigger to periodically execute a specified Workflow. One time trigger cannot execute multiple Workflows.
• Each Bundles can define a set to execute multiple Schedules so that different Workflows can be executed in batches.

Accessing Job Browser

1. Access the Hue web UI. For details, see Accessing the Hue Web UI.
2. Click to enter the job browser.
   View the jobs in the current cluster. View the status of the Workflow, Coordinator, and Bundles jobs.

   

   The number on Job Browser indicates the total number of jobs in the cluster.

   Job Browser displays the following job information:

   Table 1 MRS job attributes

   Attribute	Description
   Name	Job name
   User	User who starts a job
   Type	Job type
   Status	Job status, including Succeeded, Running, and Failed.
   Progress	Job running progress
   Group	Group to which a job belongs
   Start	Start time of a job
   Duration	Job running duration
   Id	Job ID, which is generated by the system automatically.

   

   If the MRS cluster has Spark, the Spark-JDBCServer job is started by default to execute tasks.

Searching for Jobs

1. In the search box of Job Browser, enter the specified character. The system automatically searches for all jobs that contain the keyword by ID, name, or user.
2. Clear the search criteria. The system displays all jobs.

Querying Job Details

1. In the job list on the Job Browser page, click the row that contains the desired job to view details.
2. On the Metadata tab page, you can view the metadata of the job.
   

   You can click Log to open the job running log.