Error
Error Code:
737
SAP S/4HANA Error 737: Fuzzy Search Index Creation Failure
Description
Error 737, `ERR_SQL_FUZZY_SEARCH_INDEX`, indicates that SAP S/4HANA was unable to create a fuzzy search index. This typically occurs during system setup, data migration, or when configuring specific search functionalities, preventing enhanced text search capabilities from being utilized.
Error Message
ERR_SQL_FUZZY_SEARCH_INDEX
Known Causes
4 known causesInsufficient Database Privileges
The database user or system account performing the operation lacks the necessary permissions to create or modify database indexes.
HANA Database Resource Limits
The SAP HANA database might be experiencing memory, disk space, or CPU constraints, preventing the successful creation of large indexes.
Incorrect Fuzzy Search Configuration
The fuzzy search component or related services within SAP HANA are not correctly configured or are inactive.
Invalid or Corrupt Source Data
The underlying data intended for indexing contains inconsistencies, malformations, or unsupported characters that hinder index creation.
Solutions
3 solutions available1. Verify and Recreate Fuzzy Search Index medium
This solution involves checking the status of the fuzzy search index and recreating it if it's corrupted or incomplete.
1
Identify the specific table and fields for which the fuzzy search index is failing. This information is usually available in the SAP application logs (e.g., SM21, ST22, or specific application transaction logs) or in the database alert logs.
2
Access the SAP HANA Studio or SAP HANA Cockpit. Navigate to the database administration tools.
3
Locate the specific table and its associated fuzzy search index. In SAP HANA Studio, this might be under the table's properties or a dedicated 'Indexes' section. In SAP HANA Cockpit, you'd navigate to the relevant schema and table, then to the indexing options.
4
Check the status of the index. If it's marked as 'invalid', 'failed', or 'incomplete', proceed with recreation. If there's no clear status, assume it needs to be recreated.
5
Execute the SQL command to drop the existing fuzzy search index. Replace `YOUR_SCHEMA` and `YOUR_TABLE` with the actual schema and table names, and `YOUR_FUZZY_INDEX_NAME` with the name of the fuzzy search index.
DROP SEARCH INDEX YOUR_SCHEMA.YOUR_TABLE.YOUR_FUZZY_INDEX_NAME;6
Execute the SQL command to create a new fuzzy search index. You'll need to specify the table, the columns to be indexed, and the fuzzy search configuration. Consult SAP documentation for the optimal configuration for your specific use case and data.
CREATE SEARCH INDEX YOUR_SCHEMA.YOUR_TABLE.YOUR_FUZZY_INDEX_NAME ON YOUR_SCHEMA.YOUR_TABLE (COLUMN1, COLUMN2, ...) FUZZY SEARCH CONFIGURATION YOUR_SCHEMA.YOUR_FUZZY_CONFIG_NAME;7
Monitor the index creation process. This can take time depending on the table size and system load. Check the SAP HANA Studio/Cockpit or database logs for progress and any new errors.
8
Once the index is successfully created, test the fuzzy search functionality within the SAP S/4HANA application to confirm the error is resolved.
2. Review and Adjust Fuzzy Search Configuration medium
This solution focuses on examining the fuzzy search configuration parameters and making necessary adjustments to resolve index creation issues.
1
Identify the fuzzy search configuration object used by the failing index. This might be referenced in the application logs or when creating/altering the index.
2
Access SAP HANA Studio or SAP HANA Cockpit and navigate to the SQL Console or relevant configuration management area.
3
Retrieve the current fuzzy search configuration. Replace `YOUR_SCHEMA` and `YOUR_FUZZY_CONFIG_NAME`.
SELECT * FROM SYS.FTS_CONFIGURATIONS WHERE SCHEMA_NAME = 'YOUR_SCHEMA' AND CONFIG_NAME = 'YOUR_FUZZY_CONFIG_NAME';4
Analyze the configuration parameters, paying close attention to settings like `MAX_EXPANSION`, `SIMILARITY_THRESHOLD`, and `MAX_RESULTS`. Incorrect or overly aggressive settings can sometimes lead to index creation failures, especially with large datasets or specific data characteristics.
5
If you suspect a configuration issue, consider simplifying the configuration for a test. For example, reduce `MAX_EXPANSION` or increase `SIMILARITY_THRESHOLD` temporarily. Consult SAP's official documentation for recommended values and best practices.
6
Alter the fuzzy search configuration if adjustments are made. Replace `YOUR_SCHEMA`, `YOUR_FUZZY_CONFIG_NAME`, and the parameter values.
ALTER SEARCH CONFIGURATION YOUR_SCHEMA.YOUR_FUZZY_CONFIG_NAME SET PARAMETERS ('MAX_EXPANSION' = '2', 'SIMILARITY_THRESHOLD' = '0.7');7
After altering the configuration, attempt to recreate the fuzzy search index as described in the previous solution. Monitor the process for success.
3. Check System Resources and Permissions easy
This solution addresses potential issues related to insufficient system resources or incorrect database user permissions that might prevent index creation.
1
Monitor SAP HANA system resource utilization (CPU, memory, disk I/O) during the fuzzy search index creation process. High resource contention can lead to timeouts and failures.
2
Use SAP HANA Studio or SAP HANA Cockpit to check the system health and resource usage. Identify any bottlenecks.
3
Ensure the database user executing the index creation commands has the necessary privileges. Typically, users need roles like `CREATE ANY` or specific object privileges on the schema and table, along with `SEARCH ADMIN` or similar roles for fuzzy search operations.
4
Verify that the file system where the SAP HANA data is stored has sufficient free space. Large indexes can consume significant disk space.
5
If resource limitations or permission issues are identified, take corrective actions: scale up system resources, optimize other running processes, or grant the required database privileges to the user executing the index creation. Consult your system administrator or SAP Basis team.
6
Retry the fuzzy search index creation process after addressing any resource or permission issues.