How To Fix ADW221 - Crawler continued at &1%

ADW221 - Overview

• Message type: E = Error

• Message class: ADW - Advanced Developer Workplace

• Message number: 221

• Message text: Crawler continued at &1%

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 ADW221 - Crawler continued at &1% ?

  The SAP error message ADW221, which states "Crawler continued at &1%", typically relates to issues encountered during the execution of the SAP Data Warehouse (SAP BW) or SAP HANA data modeling processes. This message indicates that the crawler process is still running and has reached a certain percentage of completion, but it may also imply that there are underlying issues affecting its performance or completion.
  Possible Causes:
  
  Performance Issues: The crawler may be taking longer than expected due to large volumes of data or insufficient system resources (CPU, memory, etc.).
  Data Quality Issues: There may be inconsistencies or errors in the data being processed, causing the crawler to slow down or halt.
  Configuration Problems: Incorrect settings in the data model or the crawler configuration can lead to inefficiencies.
  Locks or Deadlocks: Other processes may be locking the resources needed by the crawler, causing delays.
  Network Issues: If the data source is remote, network latency or connectivity