Error
Error Code:
1092
SAP S/4HANA Error 1092: Data Statistics Build Failure
Description
This error indicates that SAP S/4HANA failed to generate or update internal data statistics objects. This typically occurs during background processes, system optimizations, or database maintenance tasks that rely on accurate statistics for efficient query execution and performance.
Error Message
ERR_DATA_STAT_BUILD_ERROR
Known Causes
4 known causesInsufficient Database Permissions
The user or system account attempting to build statistics lacks the necessary privileges on the database or specific S/4HANA objects.
Database Resource Constraints
Issues like insufficient disk space, full transaction logs, or high system load can prevent the successful generation of statistics.
Corrupt or Inconsistent Data
Underlying data corruption or inconsistencies within the S/4HANA tables can interfere with the statistics building process.
System Configuration Errors
Incorrect or outdated configuration parameters related to statistics management in S/4HANA or the database can lead to this error.
Solutions
3 solutions available1. Rebuild Statistics for Affected Tables medium
Manually rebuild statistics for tables identified as problematic.
1
Identify the specific tables that are causing the 'ERR_DATA_STAT_BUILD_ERROR'. This information is usually available in the SAP system logs (SM21, ST22) or the database trace files. If specific tables are not identified, start with frequently used or critical tables.
2
Connect to your SAP HANA database using a SQL client (e.g., SAP HANA Studio, hdbsql).
3
Execute the `ALTER SYSTEM RECALCULATE STATISTICS` command for the identified tables. If you're unsure which tables are involved, you can try rebuilding statistics for all tables within a specific schema or for the entire database (use with caution in production).
ALTER SYSTEM RECALCULATE STATISTICS FOR TABLE "<schema_name>.<table_name>";4
If the issue persists, consider rebuilding statistics with different sampling options. The `SAMPLE ALL` option forces a full statistics calculation, which can be resource-intensive but is thorough.
ALTER SYSTEM RECALCULATE STATISTICS FOR TABLE "<schema_name>.<table_name>" SAMPLE ALL;5
Monitor the SAP system (SM21) and database alert logs for any new errors after rebuilding statistics.
2. Check and Adjust Statistics Collection Settings medium
Review and potentially modify the global and table-specific settings for automatic statistics collection.
1
Access the SAP HANA Administration Console or use SQL to query the statistics collection settings. You can check the global settings and table-specific settings.
2
Query current global settings. Look for parameters like `AUTO_STATISTICS_POLICY` and `STATISTICS_PROCESSING_TIME`.
SELECT * FROM "SYS"."STATISTICS_CONFIG";3
If automatic statistics collection is disabled or not configured optimally, enable or adjust it. Consider setting `AUTO_STATISTICS_POLICY` to 'ALL' or a more aggressive interval if necessary. Be mindful of the `STATISTICS_PROCESSING_TIME` to avoid performance impacts during peak hours.
UPDATE "SYS"."STATISTICS_CONFIG" SET "AUTO_STATISTICS_POLICY" = 'ALL' WHERE "CONFIG_NAME" = 'GLOBAL';
UPDATE "SYS"."STATISTICS_CONFIG" SET "STATISTICS_PROCESSING_TIME" = '00:00' WHERE "CONFIG_NAME" = 'GLOBAL'; -- Example: midnight4
Check table-specific settings. Some tables might have their statistics collection explicitly disabled or configured with very infrequent updates.
SELECT * FROM "SYS"."STATISTICS_TABLE_CONFIG" WHERE "SCHEMA_NAME" = '<schema_name>' AND "TABLE_NAME" = '<table_name>';5
If table-specific settings are problematic, reset them to use global defaults or configure them appropriately.
DELETE FROM "SYS"."STATISTICS_TABLE_CONFIG" WHERE "SCHEMA_NAME" = '<schema_name>' AND "TABLE_NAME" = '<table_name>'; -- Resets to global defaults6
After making changes, try to trigger statistics collection manually for the affected tables to see if the error is resolved.
ALTER SYSTEM RECALCULATE STATISTICS FOR TABLE "<schema_name>.<table_name>";3. Investigate Underlying Data Volume and Distribution Issues advanced
Address potential issues with data skew or excessive data volume that might be hindering statistics build.
1
Analyze the data volume of the tables experiencing statistics build failures. Extremely large tables might require more time and resources for statistics calculation. Consider partitioning large tables if not already done.
SELECT SCHEMA_NAME, TABLE_NAME, MEMORY_SIZE FROM "SYS"."TABLES" WHERE SCHEMA_NAME = '<schema_name>' AND TABLE_NAME = '<table_name>';2
Examine data distribution and skew within the problematic tables, especially on columns used in frequent queries or joins. High data skew can make it difficult for the statistics builder to generate accurate histograms.
SELECT "<column_name>", COUNT(*) FROM "<schema_name>.<table_name>" GROUP BY "<column_name>" ORDER BY COUNT(*) DESC LIMIT 10;3
If significant data skew is identified, consider strategies like:
- Creating more granular statistics on skewed columns.
- Adjusting the sampling rate for statistics collection.
- Re-evaluating the table design or data loading processes to mitigate skew.
- Creating more granular statistics on skewed columns.
- Adjusting the sampling rate for statistics collection.
- Re-evaluating the table design or data loading processes to mitigate skew.
4
For very large tables, consider using the `ALTER TABLE ... PARTITION BY ...` statement to partition the table. This can improve query performance and potentially simplify statistics management.
ALTER TABLE "<schema_name>.<table_name>" PARTITION BY RANGE ("<partition_column>") (PARTITION 1 VALUES LESS THAN ('2023-01-01'), PARTITION 2 VALUES LESS THAN ('2024-01-01')); -- Example partitioning5
After addressing data volume or distribution issues, attempt to rebuild statistics again.
ALTER SYSTEM RECALCULATE STATISTICS FOR TABLE "<schema_name>.<table_name>";