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

RSDA_HDP108 - Overview

• Message type: E = Error

• Message class: RSDA_HDP -

• Message number: 108

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

Self-Explanatory Message

Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

Unfortunately, there isn't any extra information in this error notice.

What else can you do?

First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.

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