How To Fix RSDD_ZA172 - List of requests and RFCs with poor peformance

RSDD_ZA172 - Overview

• Message type: E = Error

• Message class: RSDD_ZA - Messages from TREX Aggregate Area

• Message number: 172

• Message text: List of requests and RFCs with poor peformance

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 RSDD_ZA172 - List of requests and RFCs with poor peformance ?

  The SAP error message RSDD_ZA172 indicates that there are requests and Remote Function Calls (RFCs) that are experiencing poor performance in the context of SAP BW (Business Warehouse) or SAP BI (Business Intelligence). This message typically arises when the system detects that certain data requests are taking longer than expected to process, which can impact overall system performance and user experience.
  Causes:
  
  Inefficient Queries: Poorly designed queries that require excessive processing time due to complex joins, aggregations, or filters.
  Data Volume: Large volumes of data being processed in a single request can lead to performance degradation.
  Indexing Issues: Missing or poorly maintained indexes on database tables can slow down data retrieval.
  System Resources: Insufficient hardware resources (CPU, memory, disk I/O) can lead to performance bottlenecks.
  Network Latency: High latency in network communication can affect the performance of RFC calls.
  Background Jobs: Concurrent background jobs consuming system resources can impact the performance of data requests.
  
  Solutions:
  
  Optimize Queries: Review and