How To Fix RSDA_HDP108 - Current waiting time for Hive job completion: &1s

SAP Error Message - Details

• Message type: E = Error

• Message class: RSDA_HDP -

• Message number: 108

• Message text: Current waiting time for Hive job completion: &1s

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message RSDA_HDP108 - Current waiting time for Hive job completion: &1s ?

  The SAP error message RSDA_HDP108, which indicates "Current waiting time for Hive job completion: &1s," typically arises in the context of SAP Data Services or SAP BW when there is a delay in the execution of a Hive job. This message is a warning that the system is waiting for a Hive job to complete, and the waiting time has exceeded a certain threshold.
  Cause:
  
  Long-running Hive Jobs: The Hive job may be taking longer than expected due to various reasons such as large data volumes, complex queries, or resource contention on the Hadoop cluster.
  Cluster Performance Issues: The Hadoop cluster may be experiencing performance issues, such as high load, insufficient resources (CPU, memory, disk I/O), or network latency.
  Configuration Issues: There may be misconfigurations in the Hive or Hadoop settings that are affecting job execution times.
  Data Skew: Uneven distribution of data can lead to some tasks taking significantly longer than others, causing delays in job completion.
  
  Solution:
  
  Monitor Job Performance: Use tools like the Hadoop Resource Manager or Hive Web UI to monitor the performance of the Hive job. Check for any tasks that are taking an unusually long time to complete.
  Optimize Queries: Review and optimize the Hive queries to ensure they are efficient. This may involve rewriting queries, using appropriate joins, or partitioning data.
  Check Cluster Resources: Ensure that the Hadoop cluster has sufficient resources available. You may need to scale up the cluster or optimize resource allocation.
  Increase Timeout Settings: If the job is expected to take longer due to legitimate reasons (e.g., processing large datasets), consider increasing the timeout settings in the SAP Data Services or BW configuration.
  Review Data Distribution: Analyze the data distribution to identify any skew and take steps to balance the data across partitions.
  Check Logs: Review the logs for the Hive job to identify any errors or warnings that may indicate underlying issues.
  
  Related Information:
  
  SAP Notes: Check for any relevant SAP Notes that may address this specific error or provide guidance on performance tuning for Hive jobs.
  Hadoop Documentation: Refer to the official Hadoop documentation for best practices on optimizing Hive performance and managing cluster resources.
  SAP Community: Engage with the SAP Community forums to see if other users have encountered similar issues and what solutions they have implemented.
  
  By addressing the underlying causes and optimizing the environment, you can reduce the waiting time for Hive job completion and mitigate the occurrence of this error message.