Error
Error Code:
5223
SAP S/4HANA Error 5223: Text Extraction Failure
Description
This error indicates a problem during the process of extracting text or data within SAP S/4HANA. It typically occurs when the system attempts to retrieve information from a specified source but encounters an issue preventing successful completion of the extraction.
Error Message
ERR_TEXT_EA_EXTRACT_ERROR
Known Causes
4 known causesData Source Unavailability or Corruption
The external or internal data source from which text is being extracted is offline, inaccessible, or contains corrupted data that prevents successful reading.
Incorrect Extraction Configuration
The extraction parameters, filters, or source definitions configured in SAP S/4HANA are incorrect or misaligned with the actual data structure or location, leading to extraction failure.
Insufficient User Authorizations
The user or system process attempting the extraction lacks the necessary permissions or authorizations to access the specified data source or perform the extraction operation.
System Resource Constraints or Glitches
The SAP S/4HANA system might be experiencing high load, memory issues, or a temporary network interruption, which can disrupt the extraction process.
Solutions
3 solutions available1. Verify and Restart Text Extraction Service easy
Ensures the underlying text extraction service is running and healthy.
1
Log in to your SAP S/4HANA system using SAP GUI.
2
Execute transaction code SM51 to view the application servers.
3
Identify the server where the text extraction service is expected to run. Look for work processes associated with text extraction (often related to search or indexing).
4
Navigate to transaction code SM21 (System Log) and filter by the relevant server. Look for any error messages or warnings that coincide with the 5223 error timestamp. This might provide clues about underlying issues.
5
If the service appears to be down or unresponsive, consider restarting the relevant application server instance. This is a more disruptive step and should be planned during a maintenance window.
6
Alternatively, if you can identify specific text extraction background jobs or services, try to restart those individually via transaction SM37 or SM50/SM51.
2. Check and Rebuild Search Index Configuration medium
Addresses potential corruption or misconfiguration in the search index.
1
Log in to your SAP S/4HANA system using SAP GUI.
2
Execute transaction code SES_ADMIN to access the Search and Index Administration.
3
Navigate to the 'Index Management' section and identify the index related to the data that is failing to extract text from. The error message might indirectly point to the object type or search connector.
4
Check the status of the index. If it shows errors or is marked as inconsistent, try to rebuild the index. This process can be resource-intensive and may take time.
5
Before rebuilding, consider performing a 'Check Index' to get more detailed information about any inconsistencies.
6
If rebuilding the index doesn't resolve the issue, consider re-initializing the search connector associated with the index. This might involve deactivating and then reactivating the connector.
7
Ensure that the underlying search engine (e.g., SAP HANA Extended Application Services, Advanced Model - XS Advanced) is running and properly configured for text search.
3. Analyze Underlying Data and Permissions medium
Investigates issues with the source data or user permissions for text extraction.
1
Identify the specific business object or data source that is triggering the text extraction failure. This might be evident from the context where the error occurs (e.g., a specific transaction, report, or API call).
2
If the error relates to a specific document or record, try to inspect the raw data. Ensure that the text fields are not corrupted, truncated, or contain invalid characters that could interfere with the extraction process.
3
Verify that the user or background process attempting the text extraction has the necessary authorization to access and read the data. This includes checking authorizations for the relevant business object and any underlying tables.
4
If you are using SAP HANA as the underlying database, execute SQL queries to inspect the relevant tables and data directly. Look for any anomalies or data integrity issues in the text fields.
SELECT TOP 10 * FROM "YOUR_SCHEMA"."YOUR_TABLE" WHERE LENGTH("TEXT_FIELD") < 5 OR YOUR_TABLE."TEXT_FIELD" LIKE '%invalid_char%'5
Consider performing a data cleansing or validation process on the affected data if inconsistencies are found.