Error
Error Code: 1088

SAP S/4HANA Error 1088: Data Statistics Inconsistency

📦 SAP S/4HANA
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Description

This error indicates an issue with the underlying data statistics used by SAP S/4HANA for query optimization and performance. It often occurs during data processing, reporting, or system updates when the system cannot rely on accurate statistical information, leading to performance degradation or process failure.
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Error Message

ERR_DATA_STAT
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Known Causes

4 known causes
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Outdated Database Statistics
Database statistics become stale over time, leading to inefficient query plans and the system misinterpreting data distribution.
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Corrupted Statistics Data
The underlying statistics files or tables might be corrupted due to system crashes, hardware issues, or incorrect database operations.
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Insufficient Database Permissions
The user or system process lacks the necessary database permissions to read or update statistics, causing retrieval failures.
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Rapid Data Volume Changes
Significant and rapid changes in data volume without corresponding statistics updates can cause the system to use outdated information.
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Solutions

3 solutions available

1. Rebuild Table Statistics medium

This is the most common and effective solution for data statistics inconsistencies.

1
Identify the specific table(s) causing the inconsistency. This might require further investigation using SAP transaction codes like ST05 (SQL Trace) or ST12 (Single Transaction Analysis) to pinpoint the problematic tables during the execution that triggers the error.
2
Access the SAP HANA Database Analyzer (DBA cockpit) or use SQL commands to rebuild statistics for the identified table(s). For a single table, the SQL command is as follows. Replace 'YOUR_SCHEMA' and 'YOUR_TABLE' with the actual schema and table name.
ALTER TABLE "YOUR_SCHEMA"."YOUR_TABLE" RECALCULATE STATISTICS;
3
For a more comprehensive approach, you can use the DBA cockpit to schedule a statistics rebuild for all tables or a subset of tables. Navigate to DBA Cockpit -> System (or specific database) -> Performance Tuning -> Statistics -> Table Statistics. Select the relevant tables and choose the 'Recalculate' or 'Rebuild' option.
4
After rebuilding statistics, re-test the operation that previously failed to confirm the resolution.

2. Adjust Optimizer Parameters advanced

In some cases, the query optimizer's behavior might be too aggressive or too conservative, leading to statistics inconsistencies. Adjusting relevant parameters can help.

1
Identify the specific SQL statement or query pattern that is triggering the error. This can be done using SQL trace (ST05) or the HANA Performance Analysis tools.
2
Consult SAP Notes and documentation related to SAP HANA query optimizer parameters. Key parameters to consider might include those related to statistics collection frequency, cardinality estimation, and join order.
3
Use SQL commands to temporarily adjust relevant parameters. **Caution:** Modifying global optimizer parameters can have a significant impact on overall system performance. It is highly recommended to test these changes in a non-production environment first and to revert them if they do not resolve the issue or cause new problems. Example of a parameter that *might* be relevant (but needs careful consideration):
ALTER SYSTEM ALTER CONFIGURATION ('indexserver.ini', 'SYSTEM') SET ('optimizer', 'use_dynamic_pruning') = 'true' WITH RECONFIGURE;
4
Re-run the problematic operation to see if the error is resolved. If the issue persists or performance degrades, revert the parameter changes.

3. Execute SAP HANA System Health Check medium

A broader system health check can identify underlying issues that might contribute to statistics inconsistencies.

1
Utilize the SAP HANA Cockpit or DBA Cockpit to perform a comprehensive system health check. Look for any alerts or warnings related to database performance, memory usage, disk I/O, or background processes.
2
Review the results of the health check and address any identified issues. This might involve optimizing memory allocation, checking for disk space issues, or resolving any database service errors.
3
After addressing any system-level issues, re-run the statistics rebuild process for critical tables as described in Solution 1.
4
Test the operation that was failing to verify the fix.
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