Error
Error Code:
5322
SAP S/4HANA Error 5322: Text Segmentation Failure
Description
This error indicates a failure during the text segmentation process within SAP S/4HANA, often related to the Inxight text analysis component. It typically occurs when the system attempts to process and break down unstructured text data into meaningful segments for analysis or further processing, preventing the completion of a task.
Error Message
ERR_TEXT_LA_INXIGHT_SEGMENTATION
Known Causes
4 known causesMalformed or Invalid Text Input
The text data provided for segmentation may be corrupted, incomplete, or contain unsupported characters, preventing the Inxight component from processing it correctly.
Incorrect Segmentation Configuration
The rules, dictionaries, or parameters configured for text segmentation within SAP S/4HANA might be improperly defined or missing, leading to processing errors.
Inxight Component Issues
There might be an internal error, an outdated version, or a conflict within the integrated Inxight text analysis engine itself, causing the segmentation to fail.
System Resource Constraints
Insufficient system resources such as memory or CPU during intensive text processing operations can lead to the segmentation process being interrupted or failing.
Solutions
3 solutions available1. Verify and Re-index Text Analysis Configuration medium
Ensures the underlying text analysis engine's index is correctly configured and up-to-date.
1
Access SAP S/4HANA system and navigate to transaction SPRO (SAP Reference IMG).
2
Navigate to: SAP NetWeaver -> SAP Gateway Service Enablement -> Content & Transport for SAP Gateway -> Text Analysis. Alternatively, search for IMG activity 'Text Analysis'.
3
Review the configuration for text analysis, paying close attention to the language settings, segmentation rules, and any custom dictionaries or models used. Ensure these align with the expected data and business processes.
4
Execute the background job for re-indexing the text analysis content. The specific transaction or report for this may vary depending on your S/4HANA version and installed components. Often, this is managed through SAP Gateway or specific text analysis administration tools. Look for options like 'Rebuild Index' or 'Update Text Analysis Content'.
5
If a specific report or transaction is not readily apparent, consult SAP Notes related to 'ERR_TEXT_LA_INXIGHT_SEGMENTATION' and text analysis administration for guidance on re-indexing procedures.
2. Check and Update Text Analysis Service Component medium
Addresses issues with the core text analysis service by ensuring it's running and up-to-date.
1
Identify the specific text analysis service or component that is failing. This might be indicated in more detailed application logs or trace files.
2
If the text analysis functionality relies on an external or embedded service (e.g., a dedicated text analytics engine, or a component like SAP HANA Text Analysis), verify its status. This could involve checking service status in the operating system or via SAP HANA administration tools.
3
Ensure the text analysis service component is running and accessible from the S/4HANA application server. Network connectivity and firewall rules might need to be checked.
4
Check for available updates or patches for the text analysis service component. Applying the latest stable version can resolve known bugs related to segmentation.
5
Restart the text analysis service component if it is suspected to be in an inconsistent state.
3. Analyze and Cleanse Input Text Data easy
Resolves the error by identifying and correcting problematic characters or formatting in the text being analyzed.
1
Examine the specific text data that triggers the 'ERR_TEXT_LA_INXIGHT_SEGMENTATION' error. This can often be identified by tracing the request that leads to the error.
2
Look for unusual characters, control characters, excessive whitespace, or malformed Unicode sequences within the text. These can confuse text segmentation algorithms.
3
Implement data cleansing routines either at the source of the data or within the S/4HANA application logic before the text is passed to the analysis engine. This might involve removing specific characters, normalizing whitespace, or converting to a standard character encoding.
SELECT
REPLACE(REPLACE(your_text_field, '\n', ' '), '\r', ' ') AS cleaned_text
FROM
your_table
WHERE
... -- Add conditions to identify problematic records
4
Consider using regular expressions to identify and remove problematic patterns. For example, to remove non-printable ASCII characters:
SELECT
REGEXP_REPLACE(your_text_field, '[[:cntrl:]]', '', 1, 0, 'c') AS cleaned_text
FROM
your_table
WHERE
...
5
If the issue is with specific languages, ensure the correct character encoding (e.g., UTF-8) is used throughout the data pipeline.