View the jobs running in your E-MapReduce (EMR) on ACK cluster, including their status, timing, and links to the Spark UI for debugging.
Prerequisites
Before you begin, make sure you have:
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A cluster created on the EMR on ACK page of the EMR console. For more information, see Getting started.
View jobs in a cluster
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Log on to the EMR console.
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On the EMR on ACK page, find the cluster you want to manage and click the cluster name.
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On the Cluster Details tab, go to the Jobs section to view all jobs in the cluster. The following table describes the parameters displayed for each job.
Parameter Description Job ID The ID of the job. Job Name The name of the job. Type The type of the component. Status The state of the job. The state can be Submitted, Running, Finished, Failed, Completing, Submit Failed, Invalid, Pending Retry, or Failing. Created At The time when the job starts to be created. Ended At The time when the job is created. Execution Duration The period during which the job runs. Track URL The URL of Spark Server or Spark History Server. While the job is running, this links to Spark Server. After the job completes, this links to Spark History Server.