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Message type: E = Error
Message class: RETAIL_ST_ODATA - Messages for use in Fiori Retail Store Applications
Message number: 450
Message text: Previous update of unprocessed sales for store &1 took too long.
The previous update of the buffer for unprocessed sales took longer than
the time interval in minutes you specified in
<DS:DE.RTST_UNPROCD_SALES_UPDATE_TIME>Update Buffered Unprocessed Sales
After</> in Customizing activity
<DS:SIMG.RTST_CAR_INTEG>Define Basic Settings for Integration with SAP
Customer Activity Repository</>.
The system issues an error message and will not allow you to continue with this transaction until the error is resolved.
If this error occurs frequently, consider to increase the
<DS:DE.RTST_AUTOM_UPDATE_TIME_IN_MINS>time interval</> specified in in
Customizing activity
<DS:SIMG.RTST_CAR_INTEG>Define Basic Settings for Integration with SAP
Customer Activity Repository</>.
Error message extract from SAP system. Copyright SAP SE.
RETAIL_ST_ODATA450
- Previous update of unprocessed sales for store &1 took too long. ?The SAP error message "RETAIL_ST_ODATA450 Previous update of unprocessed sales for store &1 took too long" typically indicates that there is a delay or timeout in processing sales data for a specific store in the SAP Retail system. This can occur in scenarios where the system is trying to update or process a large volume of sales data, and the operation exceeds the allowed time limit.
Causes:
- High Volume of Data: A large number of sales transactions may be queued for processing, leading to delays.
- System Performance Issues: The SAP system may be experiencing performance issues due to insufficient resources (CPU, memory, etc.) or high load.
- Database Locks: There may be locks on the database that prevent timely processing of the sales data.
- Inefficient Queries: Poorly optimized queries or processes that take longer to execute can contribute to this issue.
- Network Latency: If the system is accessing remote databases or services, network latency can also cause delays.
Solutions:
- Monitor System Performance: Check the performance of the SAP system and the database. Use transaction codes like ST03N (Workload Analysis) and ST22 (Dump Analysis) to identify bottlenecks.
- Increase Timeout Settings: If applicable, consider increasing the timeout settings for the OData service or the relevant processing jobs.
- Optimize Data Processing: Review and optimize the processes that handle sales data. This may involve optimizing database queries or breaking down large transactions into smaller batches.
- Check for Locks: Use transaction codes like SM12 (Display and Delete Locks) to check for any locks that may be causing delays and resolve them if necessary.
- Schedule Off-Peak Processing: If possible, schedule the processing of large volumes of sales data during off-peak hours to reduce load on the system.
- Review OData Service Configuration: Ensure that the OData service is properly configured and optimized for performance.
Related Information:
If the problem persists after trying the above solutions, it may be necessary to involve your SAP Basis team or SAP support for further investigation and assistance.
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