Error
Error Code:
545
SAP S/4HANA Error 545: Invalid Partition Specification
Description
Error 545, 'ERR_RS_PARTITION_INVALID_SPEC', indicates that the system encountered an issue with the definition or usage of a data partition. This typically occurs when an object that relies on data partitioning, such as an InfoProvider or a table, is being created, activated, or loaded with data using an incorrect or invalid partitioning scheme.
Error Message
ERR_RS_PARTITION_INVALID_SPEC
Known Causes
4 known causesIncorrect Partitioning Definition
The configuration or definition of the partitioned object contains syntax errors, invalid parameters, or an unsupported partitioning method.
Incompatible Data Type or Value Range
The data type or value range specified for the partition key does not align with the actual data being processed or the underlying database constraints.
Missing or Corrupted Metadata
Essential metadata related to the partitioned object or its underlying database structure is either missing or has become corrupted, preventing correct partition handling.
Database Partitioning Mismatch
The partitioning rules or configurations at the underlying database level (e.g., SAP HANA) are not correctly synchronized with the SAP S/4HANA application's requirements.
Solutions
3 solutions available1. Review and Correct Partitioning Definition in HANA Studio/Cockpit medium
Manually inspect and correct the partition definition for the affected table.
1
Identify the table experiencing the Error 545. This is usually indicated in the surrounding error logs or trace files. You can also use SAP HANA SQL to query the system views if the table name is not immediately obvious.
SELECT SCHEMA_NAME, TABLE_NAME, PARTITION_COUNT FROM "SYS"."TABLES" WHERE TABLE_NAME = '<your_table_name>';2
Connect to your SAP HANA database using SAP HANA Studio or SAP HANA Cockpit.
3
Navigate to the schema and table in question. Right-click on the table and select 'Properties' or a similar option to view its definition.
4
Locate the 'Partitioning' tab or section. Carefully examine the partition type (e.g., Range, Hash, Round Robin), the partitioning column(s), and the partition definitions (e.g., partition bounds for Range partitioning).
5
Look for any syntax errors, incorrect data types for partition bounds, missing partition definitions, or invalid partition keys. For example, if you're using Range partitioning on a DATE column, ensure the bounds are valid dates. If using Hash partitioning, ensure the number of partitions is a positive integer.
6
Make the necessary corrections to the partitioning definition. This might involve adjusting partition bounds, changing the partitioning column, or correcting the number of partitions.
7
Save the changes to the table definition. The system will typically prompt you to confirm the changes. Be aware that modifying partitioning on a large table can be a time-consuming operation and may require a maintenance window.
8
Re-run the operation that previously failed to confirm the issue is resolved.
2. Recreate Partitioning for the Table advanced
Drop and re-apply the partitioning definition to resolve potential corruption or inconsistencies.
1
Identify the table that has the invalid partition specification. Confirm this through error logs or SAP HANA system views.
SELECT SCHEMA_NAME, TABLE_NAME, PARTITION_COUNT FROM "SYS"."TABLES" WHERE TABLE_NAME = '<your_table_name>';2
Backup the data in the affected table. This is a critical step before making any structural changes to a table.
CREATE TABLE <your_schema_name>.<your_table_name>_BACKUP AS SELECT * FROM <your_schema_name>.<your_table_name>;3
Drop the existing partitioning from the table. This will revert the table to a non-partitioned state.
ALTER TABLE <your_schema_name>.<your_table_name> UNPARTITION;4
Define the correct partitioning for the table. This might involve using the same partitioning strategy as before or a revised one based on your analysis.
ALTER TABLE <your_schema_name>.<your_table_name> PARTITION BY RANGE (<partition_column>) (PARTITION <partition_name_1> VALUES < 'value_1' <= value < 'value_2'), PARTITION <partition_name_2> VALUES < 'value_2' <= value < 'value_3'); -- Example for Range Partitioning5
Alternatively, if using Hash Partitioning, the syntax would be different:
ALTER TABLE <your_schema_name>.<your_table_name> PARTITION BY HASH (<partition_column>) PARTITIONS <number_of_partitions>;6
Apply the corrected partitioning definition. Ensure the syntax and partition definitions are valid.
7
Verify the partitioning is applied correctly by querying the system views.
SELECT SCHEMA_NAME, TABLE_NAME, PARTITION_COUNT FROM "SYS"."TABLES" WHERE TABLE_NAME = '<your_table_name>';8
Re-run the operation that caused the error. If the data was affected, you might need to restore it from the backup if necessary, but ideally, the re-partitioning should not impact existing data if done correctly.
3. Check for Invalid Data in Partitioning Column medium
Ensure the data within the partitioning column is consistent and valid.
1
Identify the partitioning column(s) for the table encountering Error 545. This information can be found in the table's properties in HANA Studio/Cockpit or by querying system views.
SELECT COLUMN_NAME FROM "SYS"."TABLE_COLUMNS" WHERE SCHEMA_NAME = '<your_schema_name>' AND TABLE_NAME = '<your_table_name>' AND IS_PARTITION_KEY = 'TRUE';2
Query the table to find any records where the partitioning column has an unexpected or invalid value that might be causing the partition specification to be considered invalid. This is particularly relevant for Range partitioning where values might fall outside defined bounds or have incorrect data types.
SELECT * FROM <your_schema_name>.<your_table_name> WHERE <partition_column> IS NULL OR <partition_column> < 'invalid_value' OR <partition_column> > 'another_invalid_value'; -- Adjust condition based on partition type and expected values3
If invalid data is found, determine the appropriate action: update the data to a valid value, delete the invalid records, or adjust the partition definition to accommodate the data. The best approach depends on the business context.
4
After correcting the data, re-run the operation that produced the error.