Viewing job details

About this task

View details about currently running or already completed jobs in Lifecycle Manager (LCM). Use the filter lists to quickly locate the job you want to view. Click column headers to sort jobs by date, status, or job type and drill deeply into job event details.

Procedure

  1. Click Jobs in the LCM navigation menu.

    The Lifecycle Manager Jobs page appears.

    LCM Main Jobs page

  2. If necessary, use the filter lists to quickly locate the job. Specify your filter criteria in each list. The job results change dynamically as filter selections are made. Filter by:

    • Clusters: All clusters or a specific cluster.

    • Datacenters: All datacenters or a specific datacenter.

    • Nodes: All nodes or a specific node.

    • Job Type: All Types, Install, Install Agent, Configure, Upgrade, or (Cluster) Import.

  3. Click column headers to sort jobs:

    • Click the Created On to quickly sort jobs by date created in ascending or descending order.

    • Click Status to sort by job status such as Success or Failure.

    • Click Job Type to group jobs by type.

  4. Click the view details lcmJobsDrillDetailsIcon icon to access more details for any event within a job.

    The details page for the job appears.

    opscLCMJobsStatusDetails

  5. Drill deeper into more granular details about an event type for a job. Click the view details lcmJobsDrillDetailsIcon icon to view the event details.

    The Event Details dialog displays result messages and a stack trace.

    opscLCMviewJobDetails

  6. Drill into the status for each node.

    The Event Details dialog displays result messages and a stack trace.

    opscLCMJobsStatusDetails2

  7. When finished viewing job details, click the back arrow lcmJobsNavBackIcon icon to navigate back to nodes or the main jobs page.

Was this helpful?

Give Feedback

How can we improve the documentation?

© 2024 DataStax | Privacy policy | Terms of use

Apache, Apache Cassandra, Cassandra, Apache Tomcat, Tomcat, Apache Lucene, Apache Solr, Apache Hadoop, Hadoop, Apache Pulsar, Pulsar, Apache Spark, Spark, Apache TinkerPop, TinkerPop, Apache Kafka and Kafka are either registered trademarks or trademarks of the Apache Software Foundation or its subsidiaries in Canada, the United States and/or other countries. Kubernetes is the registered trademark of the Linux Foundation.

General Inquiries: +1 (650) 389-6000, info@datastax.com