Error
Error Code:
5333
SAP S/4HANA Error 5333: Failed Sentence Annotation Creation
Description
This error indicates a failure during the process of creating a sentence annotation within SAP S/4HANA. It typically occurs when the system attempts to analyze or process textual data, often in modules involving natural language processing or text-based analytics.
Error Message
ERR_TEXT_LA_ANN_SENTENCE
Known Causes
4 known causesMalformed Text Input
The text provided for annotation may contain unsupported characters, be incomplete, or exceed expected formatting, preventing proper sentence segmentation.
Incorrect Configuration
Missing or improperly configured settings for the text analysis or natural language processing (NLP) components within SAP S/4HANA.
Missing Language Resources
Required language-specific dictionaries, libraries, or models for sentence annotation are not installed or accessible by the system.
System Resource Constraints
Temporary server overload or insufficient system resources preventing the annotation process from completing successfully.
Solutions
3 solutions available1. Verify and Recreate HANA Text Analysis Configuration medium
Ensures the underlying HANA text analysis engine and its configurations are sound.
1
Access the SAP HANA Cockpit or HANA Studio. Navigate to the Text Analysis configuration settings. This is typically found under Administration or Configuration sections relevant to Text Analysis or Full-Text Search.
2
Identify the specific Text Analysis configuration that is failing. Look for any associated error logs or warnings within the HANA system related to Text Analysis.
3
As a precautionary measure, back up the current Text Analysis configuration. This can usually be done through export functionalities within the HANA Cockpit or Studio.
4
Delete the problematic Text Analysis configuration. This action will remove the existing setup and allow for a fresh creation.
5
Recreate the Text Analysis configuration. This involves defining the necessary parameters, languages, and any custom dictionaries or rules. Ensure all settings are correct and aligned with your S/4HANA system's requirements.
6
Restart the SAP HANA services or relevant Text Analysis components if prompted or if the issue persists. Test the functionality that previously triggered the error.
2. Check and Update HANA Text Analysis Libraries and Languages medium
Ensures that the necessary libraries and language models for text analysis are installed and up-to-date.
1
Log in to the SAP HANA server via SSH or a terminal.
2
Navigate to the directory where HANA Text Analysis libraries are installed. This path can vary depending on the HANA version and installation, but often involves subdirectories within the HANA installation path (e.g., `/<hana_install_path>/hdb/lib/`).
3
Identify the installed language packs and libraries related to Text Analysis. You can often find version information within the filenames or by using system commands.
4
Consult SAP Notes and the HANA documentation to determine the latest compatible versions of Text Analysis libraries and language packs for your specific S/4HANA and HANA versions. SAP regularly releases updates for these components.
5
If outdated libraries or language packs are found, plan for an update. This typically involves downloading the new components from SAP Support Portal and following SAP's procedures for updating HANA components. This might require a HANA system restart.
6
After updating, restart the HANA system and test the functionality. Ensure the correct language models are loaded and accessible by the Text Analysis engine.
3. Review and Correct Data for Text Analysis Processing easy
Addresses potential issues with the actual data being processed by the Text Analysis engine.
1
Identify the specific table and column(s) in your S/4HANA system that are being used for Text Analysis and are triggering the error. This information is usually available in the application logs or the error message context.
2
Connect to your SAP HANA database using a SQL client (e.g., HANA Studio, DBVisualizer, or SAP HANA Cockpit's SQL Console).
3
Query the identified table and examine the data in the relevant columns. Look for unusual characters, extremely long strings, malformed text, or data types that might not be suitable for text processing.
SELECT "COLUMN_NAME", LENGTH("COLUMN_NAME") FROM "YOUR_SCHEMA"."YOUR_TABLE" WHERE LENGTH("COLUMN_NAME") > 10000; -- Example for long strings
SELECT "COLUMN_NAME" FROM "YOUR_SCHEMA"."YOUR_TABLE" WHERE "COLUMN_NAME" IS NULL OR TRIM("COLUMN_NAME") = ''; -- Example for empty strings4
If problematic data is found, create a plan to clean or correct it. This might involve:
- Removing invalid characters.
- Truncating excessively long strings (if acceptable).
- Handling NULL or empty values appropriately (e.g., by setting a default value or excluding them from analysis).
- Ensuring the data encoding is consistent and compatible with HANA's text processing.
- Removing invalid characters.
- Truncating excessively long strings (if acceptable).
- Handling NULL or empty values appropriately (e.g., by setting a default value or excluding them from analysis).
- Ensuring the data encoding is consistent and compatible with HANA's text processing.
UPDATE "YOUR_SCHEMA"."YOUR_TABLE" SET "COLUMN_NAME" = REPLACE("COLUMN_NAME", '<invalid_char>', '') WHERE "COLUMN_NAME" LIKE '%<invalid_char>%'; -- Example for replacing characters
UPDATE "YOUR_SCHEMA"."YOUR_TABLE" SET "COLUMN_NAME" = NULL WHERE "COLUMN_NAME" = ''; -- Example for handling empty strings5
After correcting the data, re-run the process that was causing the error. If the error was data-related, it should now be resolved.